diff --git a/.gitignore b/.gitignore index 2d333cdd..53eafe8c 100644 --- a/.gitignore +++ b/.gitignore @@ -3,6 +3,8 @@ # compiled output /dist /tmp +.idea/ +package-lock.json # dependencies /node_modules diff --git a/Brocfile.js b/Brocfile.js index c92c963b..224d3eb2 100644 --- a/Brocfile.js +++ b/Brocfile.js @@ -42,7 +42,7 @@ var app = new EmberApp({ }); // FileSaver -app.import('bower_components/FileSaver.js/FileSaver.min.js'); +app.import('bower_components/FileSaver.js/dist/FileSaver.min.js'); // PapaParse app.import('bower_components/papaparse/papaparse.min.js'); diff --git a/app/controllers/application.js b/app/controllers/application.js index c7ba37c4..14c72d78 100644 --- a/app/controllers/application.js +++ b/app/controllers/application.js @@ -38,7 +38,9 @@ export default Ember.Controller.extend({ return this.get('currentRouteName').endsWith(".show"); }), isHomePageRoute: computed.equal('currentRouteName','index'), + isSearchRoute: computed.equal('currentRouteName','search'), + showStreamer: computed('isHomePageRoute', function(){ return !this.get('isHomePageRoute'); }), @@ -46,4 +48,4 @@ export default Ember.Controller.extend({ let url = this.get('featureToggle.hero_image'); return Ember.String.htmlSafe(`background-image: url('${url}');`); }) -}); + }); diff --git a/app/controllers/index.js b/app/controllers/index.js index c8971473..6f86388e 100644 --- a/app/controllers/index.js +++ b/app/controllers/index.js @@ -4,7 +4,7 @@ const {computed, get} = Ember; export default Ember.Controller.extend({ i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), - + needs: ['search'], firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), agcensusLastYear: computed.alias('featureToggle.year_ranges.agcensus.last_year'), diff --git a/app/index.html b/app/index.html index 2c57d0cb..ed72ecb6 100644 --- a/app/index.html +++ b/app/index.html @@ -1,5 +1,5 @@ - + @@ -21,6 +21,9 @@ + + + @@ -28,18 +31,21 @@ {{content-for 'head'}} - - + + + {{content-for 'head-footer'}} - + {{content-for 'body'}} + + {{content-for 'body-footer'}} diff --git a/app/locales/en-col/translations.js b/app/locales/en-col/translations.js index 93518540..903184ba 100644 --- a/app/locales/en-col/translations.js +++ b/app/locales/en-col/translations.js @@ -39,17 +39,17 @@ export default { "country.show.dotplot-column": "Departments Across Colombia", "country.show.eci": "0.037", "country.show.economic_structure": "Economic Structure", - "country.show.economic_structure.copy.p1": "With a population of 49.5 million (as of December 2017), Colombia is the third largest country in Latin America. Its total GDP in 2016 was Col$772.4 trillion, or US$253.2 billion at the average exchange rate of 2016 (1 US dollar = 3.050 Colombian pesos). In 2016, income per capita reached Col$17.708.353 or US$5.806 . Colombia\u2019s economic growth rate hits 2% in 2016.", - "country.show.economic_structure.copy.p2": "Business and financial services contribute 20.9% of GDP, making it the largest industry, followed by governmental, communal and personal services (15,4%) and manufacturing activities (11,2%). Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 25.7, 13.9 and 9.7% to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", + "country.show.economic_structure.copy.p1": "With a population of 49.5 million (as of December 2017), Colombia is the third largest country in Latin America. Its total GDP in 2017 was Col$835.1 trillion, or US$283 billion at the average exchange rate of 2017 (1 US dollar = 2.951 Colombian pesos). In 2017, income per capita reached Col$18.828.100 or US$6.380 . Colombia’s economic growth rate hits 1,8% in 2017.", + "country.show.economic_structure.copy.p2": "Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 26.4%, 15% and 9% to total GDP to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", "country.show.employment_wage_occupation": "Formal Employment, Occupations and Wages", "country.show.employment_wage_occupation.copy.p1": "The registries of the PILA, which cover the universe of workers who make contributions to the social security system, indicate that the effective number of year-round workers in the formal sector in 2016 was 8.2 million. Bogot\u00e1 DC, Antioquia and Valle del Cauca generate, respectively 31.7%, 17.1%, and 10.8% of (effective) formal employment.", - "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2014.", + "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2017.", "country.show.export_complexity_possibilities": "Export Complexity and Possibilities", "country.show.export_complexity_possibilities.copy.p1": "The concept of export complexity is similar to that of industry complexity introduced above. It has been found that countries that export products that are relatively complex for their level of economic development tend to grow faster than countries that export relatively simple products. Based on the complexity of its export basket in 2013, Colombia ranks 53rd among 124 countries and is predicted to grow at an annual rate of 3.3% in the period 2013-2023 based on its economic complexity.", "country.show.export_complexity_possibilities.copy.p2": "The \u2018Product Technological Similarity Space\u2019 (or Product Space) shown below is a graphical network representation of technological similarities across all export products, and is based on international export patterns. Each dot or node represents a product; nodes connected by lines require similar capabilities. More connected products are clustered towards the middle of the network, implying that the capabilities they use can be deployed in the production of many other products.", "country.show.export_complexity_possibilities.copy.p3": "The highlighted nodes represent the products that Colombia exports in relatively large amounts (more precisely, with revealed comparative advantage higher than one, see the Glossary). Colors represent product groupings (which match the colors used in the industry technological space shown above). The figure further below and the accompanying table show what export products offer the best possibilities for Colombia, given the capabilities the country already has and how \u2018distant\u2019 are those capabilities to the ones needed for each product.", "country.show.exports": "Exports", - "country.show.exports.copy.p1": "Colombia exported US$32.5 billion in 2016, down from $35.1 billion in 2015 and $57.8 billion in 2016. Its main export partners are the United States, Panama, China and Spain. In 2016, minerals products (of which oil, coal and nickel are the largest items) comprised 51.75% of total merchandise exports, vegetables, foodstuffs and wood contributed 22.57%, and chemical and plastics products totaled 9.78% of exports. The following graphs provide further details.", + "country.show.exports.copy.p1": "Colombia exported US$38.2 billion in 2017. Its main export partners are the United States, Panama, China and Nederland. In 2017, minerals products (of which oil, coal and nickel are the largest items) comprised 56.2% of total merchandise exports, vegetables, foodstuffs and wood contributed 20.78%, and chemical and plastics products totaled 8.43% of exports. The following graphs provide further details.", "country.show.exports_composition_by_department": "Export Composition by Department ({{year}})", "country.show.exports_composition_by_products": "Export Composition by Product ({{year}})", "country.show.gdp": "Col $756,152 T", @@ -61,8 +61,8 @@ export default { "country.show.landuses": "Land Uses in Colombia", "country.show.landuses.area": "Total Area (ha)", "country.show.nonag_farmsize": "4.53 ha", - "country.show.occupation.num_vac": "Total advertised vacancies", - "country.show.population": "48.1 million", + "country.show.occupation.num_vac": "Total advertised vacancies (2017)", + "country.show.population": "49.5 million", "country.show.product_space": "Product Space", "country.show.total": "Total", "ctas.csv": "CSV", @@ -88,7 +88,7 @@ export default { "downloads.map.header": "Map Data", "downloads.occupations_copy": "All data on occupations (wages offered by occupation and industry, and occupational structure by industry) come from job vacancy announcements placed by firms in public and private Internet job sites. Occupations are classified according to the Occupational Information Network Numerical Index (ONET). The data were processed by Jeisson Arley C\u00e1rdenas Rubio, researcher of Universidad del Rosario, Bogot\u00e1, and Jaime Mauricio Monta\u00f1a Doncel, Masters student at the Paris School of Economics.", "downloads.occupations_head": "Occupations data", - "downloads.occupations_row_1": "Job vacancies and wages offered (2014)", + "downloads.occupations_row_1": "Job vacancies and wages offered (2017)", "downloads.other_copy": "DANE (the National Statistical Office) is the source of all data on GDP and population.", "downloads.other_head": "Other data (DANE)", "downloads.other_row_1": "GDP and demographic variables", @@ -562,7 +562,7 @@ export default { "index.profiles_cta": "Read the profile for Antioquia", "index.profiles_head": "Start with our profiles", "index.profiles_subhead": "Just the essentials, presented as a one-page summary", - "index.questions_head": "We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_head": "New 2016 update!
We\u2019re not a crystal ball, but we can answer a lot of questions", "index.questions_subhead": "index.questions_subhead", "index.research_head": "Research featured in", "industry.show.avg_wages": "Average wages ({{year}})", @@ -583,9 +583,9 @@ export default { "location.show.all_departments": "Compared to the other departments", "location.show.all_regions": "Compared to the other locations", "location.show.average_livestock_load": "Livestock Load ", - "location.show.bullet.gdp_grow_rate": "The GDP growth rate in the period {{yearRange}} was {{gdpGrowth}}, compared to 5.3% for Colombia", - "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$15.1 million for Colombia in 2014.", - "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 46.3 million in Colombia as a whole in 2014.", + "location.show.bullet.gdp_grow_rate": "Main variables:", + "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$18.8 million for Colombia in 2017.", + "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 49.5 million in Colombia as a whole in 2017.", "location.show.eci": "Export complexity", "location.show.employment": "Employment ({{lastYear}})", "location.show.employment_and_wages": "Formal employment and wages", @@ -654,4 +654,4 @@ export default { "search.results_rural": "Rural activities", "table.export_data": "Export Data", "thousands_delimiter": "," -}; \ No newline at end of file +}; diff --git a/app/locales/en-col/translations.original b/app/locales/en-col/translations.original new file mode 100644 index 00000000..7c24733a --- /dev/null +++ b/app/locales/en-col/translations.original @@ -0,0 +1,568 @@ +export default { + "abbr_billion": "B", + "abbr_million": "M", + "abbr_thousand": "K", + "abbr_trillion": "T", + "about.downloads.explanation.p1": "Download the document explaining how each of the complexity variables of Datlas is computed.", + "about.downloads.explanation.title": "Method of calculation of complexity variables", + "about.downloads.locations": "Lists of departments, cities (including metropolitan areas) and municipalities", + "about.glossary": "

See page \"About the data\" for further information about sources, computational methods of the complexity variables and downloadable databases.

Cities

A city is a metropolitan area or a municipality with more than 50,000 inhabitants, 75% of whom reside in the main urban location (cabecera). There are 62 cities (19 metropolitan areas comprising 115 municipalities, plus 43 other cities of just one municipality). The concept of city is relevant because Datlas presents complexity indicators by department and city, but not by municipality.

Complexity

Complexity is the amount and sophistication of knowhow required to produce something. The concept of complexity is central to Datlas because productivity and growth everywhere depend on firms to successfully produce and export goods and services that require skills and knowledge that are diverse and unique. Complexity can be measured by location, by industry or by export product.

Complexity Outlook

Measures the potential of a location to reach higher complexity levels. The measure accounts for the level of complexity of the industries (or exports) along with the distance of how close the productive capabilities that these industries require are to its current industries (or exports). More specifically, it measures the likelihood of different industries (or exports) appearing and the value of their added complexity. Higher outlook values indicate \u201ccloser distance\u201d to more, and more complex, industries (or exports).

Industry complexity outlook values are computed for departments and cities, not for the rest of municipalities. Export complexity outlook values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

DANE

DANE is the National Statistical Office. It is the source of all data on GDP and population used by Datlas.

DIAN

DIAN is the National Tax and Customs Authority. It is the source of all data on exports and imports by department and municipality in Datlas.

Distance

A measure of a location\u2019s ability to enter a specific industry or export, as determined by its current productive capabilities. Also known as a capability distance, the measure accounts for the similarity between the capabilities required by an industry or export and the capabilities already present in a location\u2019s industries or exports. Where a new industry or export requires many of the same capabilities already present in a location\u2019s industries or exports, the product is considered \u201ccloser\u201d or of a shorter \u201cdistance\u201d to acquire the missing capabilities to produce it. New industries or exports of a further distance require larger sets of productive capabilities that do not exist in the location and are therefore riskier ventures or less likely to be sustained. Thus, distance reflects the proportion of the productive knowledge necessary for an industry or export that a location does not have. This is measured by the proximity between industries or exports, or the probability that two industries or exports will both be present in a location, as embodied by the industry space and product space, respectively.

Industry distance values are computed for departments and cities, but not for the rest of municipalities. Export distance values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Diversity

A measure of how many different types of products a place is able to produce. The production of a good requires a specific set of know-how; therefore, a country\u2019s total diversity is another way of expressing the amount of collective know-how that a place has.

Economic Complexity Index (ECI)

A measure of the sophistication of the productive capabilities of a location based on the diversity and ubiquity of its industries or exports. A location with high complexity produces or exports goods and services that few other locations produce. Highly complex locations tend to be more productive and generate higher wages and incomes. Countries with export baskets more sophisticated than what is expected for their income level (such as China) tend to grow faster than those where the opposite is true (such as Greece).

Industry ECI values are computed for departments and cities, but not for the rest of municipalities. Export ECI values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Formal employment and wages, and formal employment rate

Formal employment is defined as employment covered by the health social security system and/or the pension system. The self-employed are not included. Formal wages are those reported by firms to that aim. Formal employment reported is the number of formal employees in an average month. Formality rate is defined as formal employment divided by population older than 15. Employment and wage data are taken from PILA. Population data comes from DANE.

Industry Complexity Index (ICI)

A measure of the amount of productive capabilities that an industry requires to operate. The ICI and the Product Complexity Index (PCI) are closely related, but are measured through independent datasets and classification systems as the PCI is computed only for internationally tradable goods, while the ICI is calculated for all industries that generate formal employment, including the public sector. Industries are complex when they require a sophisticated level of productive knowledge, such as many financial services and pharmaceutical industries, with many individuals with distinct specialized knowledge interacting in a large organization. Complexity of the industry is measured by calculating the average diversity of locations that hold the industry and the average ubiquity of the industries that those locations hold. The formal employment data required for these calculations comes from the PILA dataset held by the Ministry of Health.

Industry classification system

Colombia\u2019s industry classification system is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). Datlas shows industry information at two- and four-digit level. All industry data come from PILA. Following national accounting conventions, workers hired by temporary employment firms are classified in the labor recruitment industry (7491), not in the industry of the firm where they physically work.

Industry technological similarity space (or industry space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between industries. Each dot represents an industry and each link between a pair of industries indicates that they require similar productive capabilities to operate. Colored dots are industries with revealed comparative advantage larger than one. When an industry is selected, the map shows the industries that require similar productive capabilities. An industry with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing industries share to untapped, complex industries determines the complexity outlook of the location. The Colombian industry similarity space is based on formal employment data by industry and municipality from the PILA dataset of the Ministry of Health.

Metropolitan area

A metropolitan area is a combination of two or more municipalities that are connected through relatively large commuting flows (irrespective of their size or contiguity). A municipality must send at least 10% of its workers as daily commuters to the rest of the metropolitan area municipalities to be included.

Based on this definition there are 19 metropolitan areas in Colombia, which comprise 115 municipalities. The resulting metro areas, which are distinct from official measures, are computed with the methodology of G. Duranton (2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Occupations

Occupations are classified according to the Occupational Information Network Numerical Index (ONET). All data on occupations (wages offered by occupation, occupational structure by industry, and education level required by occupation) come from job vacancy announcements placed by firms in public and private Internet job sites during 2014. The data were processed by Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).

Opportunity gain

Measures how much a location could benefit by developing a particular industry (or export). Also known also as \u201cstrategic value,\u201d the measure accounts for the distances to all other industries (or exports) that a location does not currently produce with revealed comparative advantage larger than one and their respective complexities. Opportunity gain quantifies how a new industry (or export) can open up links to more, and more complex, products. Thus, the measure calculates the value of an industry (or export) based on the paths it opens to industrial expansion into more complex sectors.

Industry opportunity gain values are computed for departments and cities, but not for the rest of municipalities. Export opportunity gain values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

PILA

PILA is the Integrated Report of Social Security Contributions, managed by the Ministry of Health. It is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry.

Product Complexity Index (PCI)

Measures the amount of productive capabilities required to manufacture a product. Complex exports, which include many chemical and machinery products, require a sophisticated level, and diverse base, of productive knowledge, with many individuals with distinct specialized knowledge interacting in a large organization. This contrasts with low complexity exports, like coffee, which require much less basic productive knowledge that can be found in a family-run business. UN Comtrade data are used to compute the complexity of export products.

Product technological similarity space (or product space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between export products. Each dot represents a product and each link between a pair of products indicates that the two products require similar capabilities in their production. Colored dots are exports with revealed comparative advantage larger than one. When a product is selected, the map shows the products that require similar productive capabilities. A product with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing products share to complex products that a location does not currently produce determines the complexity outlook of its exports.

The shape of the space is based on international trade data for 192 countries over 50 years. See The International Atlas of Economic Complexity.

Revealed Comparative Advantage (RCA)

Measures the relative size of an industry or an export product in a location. RCA is not a measure of productive efficiency or competitiveness, but just a \u201clocation quotient\u201d, as is often referred to. RCA is computed as the ratio between an industry\u2019s share of total formal employment in a location and the share of that industry\u2019s total formal employment in Colombia as a whole. For instance, if the chemical industry generates10% of a city\u2019s employment, while it generates only 1% of total employment in Colombia, the RCA of the industry in the city is 10. For exports, RCA is the ratio between the share of the export in the export basket of the location and its share in total world trade. If this ratio is larger than 1, the location is said to have revealed comparative advantage in the industry or export. For instance, if a department\u2019s coffee exports are 30% of its exports but coffee accounts for just 0.3% of world trade, the department\u2019s RCA in coffee is 100.

Ubiquity

A measure of the number of places that are able to make a product.

", + "about.glossary_name": "Glossary", + "about.project_description.cid.header": "CID and the Growth Lab", + "about.project_description.cid.p1": "This project was developed by the Center for International Development at Harvard University, under the leadership of Professor Ricardo Hausmann.", + "about.project_description.cid.p2": "The Center for International Development (CID) at Harvard University works to advance the understanding of development challenges and offer viable, inclusive solutions to problems of global poverty. The Growth Lab is one of CID\u2019s core research programs.", + "about.project_description.contact.header": "Contact information", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex is the entrepreneurial development bank of Colombia. It is committed to developing financial and non-financial instruments geared to enhance the competitiveness, productivity, growth and internationalization of Colombian enterprises. Leveraging on its unique relational equity and market position, Banc\u00f3ldex manages financial assets, develops access solutions to financing and deploys innovative capital solutions, to foster and accelerate company growth. Besides offering traditional loans, Banc\u00f3ldex has been appointed to implement several development program such as iNNpulsa Colombia, iNNpulsa Mipyme, Banca de las Oportunidades, and the Productive Transformation Program, all of them, in an effort to consolidate an integrated offer to promote Colombian business environment and overall competitiveness. Datlas elaborates on the work that Banc\u00f3ldex has been undertaking through its Productive Transformation Program and INNpulsa Colombia initiatives.", + "about.project_description.founder2.header": "Mario Santo Domingo Foundation", + "about.project_description.founder2.p": "Created in 1953, the Mario Santo Domingo Foundation (FMSD) is a non-profit organization dedicated to implementing community development programs in Colombia. FMSD decided to concentrate its main efforts in the construction of affordable housing within a Community Development Model, named Integral Development of Sustainable Communities (DINCS in its Spanish initials) and designed by the FMSD as a response to the large housing deficit in Colombia. Through this program, the FMSD delivers social support for families, and social infrastructure and urban development for the less privileged. FMSD also supports entrepreneurs in the Northern region of Colombia and in Bogot\u00e1 through its Microfinance Unit which provides training and financial services such as microcredit. More than 130,000 entrepreneurs have received loans from the Foundation since its launch in 1984. The FMSD works also to identify alliances and synergies between the public and private sectors in critical social development areas such as early childhood, environmental sustainability, disaster attention, education and health.", + "about.project_description.founders.header": "Founding Partners", + "about.project_description.founders.p": "This project is funded by Banc\u00f3ldex and Fundaci\u00f3n Mario Santo Domingo ", + "about.project_description.github": "See our code", + "about.project_description.intro.p1": "In Colombia, income gaps between regions are huge and have been growing: new job opportunities are increasingly concentrated in the metropolitan areas of Bogot\u00e1, Medell\u00edn and Cali, as well as a few places where oil and other minerals are extracted. The average income of residents of Bogot\u00e1 is four times that of Colombians living in the 12 poorest departments", + "about.project_description.intro.p2": "Datlas is a diagnostic tool that firms, investors and policymakers can use to improve the productivity of departments, cities and municipalities. It maps the geographical distribution of Colombia\u2019s productive activities and employment by department, metropolitan area and municipality, and identifies exports and industries of potential to increase economic complexity and accelerate growth.", + "about.project_description.intro.p3": "Economic complexity is a measure of the amount of productive capabilities, or knowhow, that a country or a city has. Products are vehicles for knowledge. To make a shirt, one must design it, produce the fabric, cut it, sew it, pack it, market it and distribute it. For a country to produce shirts, it needs people who have expertise in each of these areas. Each of these tasks involves many more capabilities than any one person can master. Only by combining know-how from different people can any one product be made. The road to economic development involves increasing what a society knows how to do. Countries with more productive capabilities can make a greater diversity of products. Economic growth occurs when countries develop the capabilities and productive knowledge to produce more, and more complex, products.", + "about.project_description.intro.p4": "This conceptual approach, which has been applied at the international level in The Atlas of Economic Complexity, is now used in this online tool to investigate export and industry possibilities at the sub-national level in Colombia.", + "about.project_description.letter.header": "Sign up for our Newsletter", + "about.project_description.letter.p": "Sign up for CID\u2019s Research Newsletter to keep up-to-date with related breakthrough research and practical tools, including updates to this site http://www.hks.harvard.edu/centers/cid/news-events/subscribe ", + "about.project_description.team.header": "Academic and Technical Team", + "about.project_description.team.p": "Academic team at Harvard\u2019s CID: Ricardo Hausmann (director), Eduardo Lora (coordinator), Tim Cheston, Andr\u00e9s G\u00f3mez-Li\u00e9vano, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery and Juan T\u00e9llez. Programming and visualization team at Harvard\u2019s CID: Greg Shapiro (coordinator), Mali Akmanalp, Katy Harris, Quinn Lee, Romain Vuillemot, and Gus Wezerek. Statistical advisor in Colombia: Marcela Eslava (Universidad de los Andes). Compilation and processing of job vacancies data in Colombia: Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).", + "about.project_description_name": "About", + "census_year": "2014", + "country.show.ag_farmsize": "45.99 ha", + "country.show.dotplot-column": "Departments Across Colombia", + "country.show.eci": "0.037", + "country.show.economic_structure": "Economic Structure", + "country.show.economic_structure.copy.p1": "With a population of 48.1 million (as of May 2015), Colombia is the third largest country in Latin America. Its total GDP in 2014 was Col$756.1 trillion, or US$377.9 billion at the average exchange rate of 2014 (1 US dollar = 2000.6 Colombian pesos). In 2014, income per capita reached Col$15,864,953 or US$7,930. Yearly economic growth since 2008 has averaged 4.3% (or 3.1% in per capita terms).", + "country.show.economic_structure.copy.p2": "Business and financial services contribute 18.8% of GDP, making it the largest industry, followed by governmental, communal and personal services (16.5%) and manufacturing activities (11.2%). Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 24.7, 13.1 and 9.2% to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", + "country.show.employment_wage_occupation": "Formal Employment, Occupations and Wages", + "country.show.employment_wage_occupation.copy.p1": "In 2014, approximately 21.6 million Colombians were occupied in either a formal or an informal job, increasing slightly over 2013, at 21.1 million. The registries of the PILA, which cover the universe of workers who make contributions to the social security system, indicate that 13.3 million workers were occupied for some period in a formal job in 2013. Taking into account the number of months occupied, the effective number of year-round workers in the formal sector in 2013 was 6.7 million. Bogot\u00e1 DC, Antioquia and Valle del Cauca generate, respectively 32.7, 16.7, and 10.7% of (effective) formal employment.", + "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2014.", + "country.show.export_complexity_possibilities": "Export Complexity and Possibilities", + "country.show.export_complexity_possibilities.copy.p1": "The concept of export complexity is similar to that of industry complexity introduced above. It has been found that countries that export products that are relatively complex for their level of economic development tend to grow faster than countries that export relatively simple products. Based on the complexity of its export basket in 2013, Colombia ranks 53rd among 124 countries and is predicted to grow at an annual rate of 3.3% in the period 2013-2023 based on its economic complexity.", + "country.show.export_complexity_possibilities.copy.p2": "The \u2018Product Technological Similarity Space\u2019 (or Product Space) shown below is a graphical network representation of technological similarities across all export products, and is based on international export patterns. Each dot or node represents a product; nodes connected by lines require similar capabilities. More connected products are clustered towards the middle of the network, implying that the capabilities they use can be deployed in the production of many other products.", + "country.show.export_complexity_possibilities.copy.p3": "The highlighted nodes represent the products that Colombia exports in relatively large amounts (more precisely, with revealed comparative advantage higher than one, see the Glossary). Colors represent product groupings (which match the colors used in the industry technological space shown above). The figure further below and the accompanying table show what export products offer the best possibilities for Colombia, given the capabilities the country already has and how \u2018distant\u2019 are those capabilities to the ones needed for each product.", + "country.show.exports": "Exports", + "country.show.exports.copy.p1": "Colombia exported US$54.8 billion in 2014, down from $58.8 billion in 2013 and $60.1 billion in 2012. Its main export partners are the United States, Venezuela, Ecuador and Peru. In 2014, mining products (of which oil, coal and nickel are the largest items) comprised 59.3% of total merchandise exports, manufactured goods contributed 35.6%, and agricultural products totaled 4.6% of exports. The following graphs provide further details.", + "country.show.exports_composition_by_department": "Export Composition by Department ({{year}})", + "country.show.exports_composition_by_products": "Export Composition by Product ({{year}})", + "country.show.gdp": "Col $756,152 T", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Industry Complexity", + "country.show.industry_complex.copy.p1": "Industry complexity is a measure of the range of capabilities, skills or know-how required by an industry. Industries such as chemicals and machinery are said to be highly complex, because they require a sophisticated level of productive knowledge likely to be present only in large organizations where a number of highly specialized individuals interact. Conversely, industries such as retail trade or restaurants require only a basic level of know-how which may be found at a family-run business. More complex industries contribute to raising productivity and income per- capita. Departments and cities with more complex industries have a more diversified industrial base and tend to create more formal employment.", + "country.show.industry_complex.copy.p2": "The 'IndustryTechnological Similarity Space\u2019 (or Industry Space) shown below is a graphical representation of the similarity between the capabilities and know-how required by pairs of industries. Each dot or node represents an industry; nodes connected by lines require similar capabilities. More connected industries use capabilities that can be deployed in many other industries. Colors represent industry groupings.", + "country.show.industry_space": "Industry Space", + "country.show.nonag_farmsize": "4.53 ha", + "country.show.occupation.num_vac": "Total advertised vacancies (2014)", + "country.show.population": "48.1 million", + "country.show.product_space": "Product Space", + "country.show.total": "Total", + "ctas.csv": "CSV", + "ctas.download": "Download this data", + "ctas.embed": "Embed", + "ctas.excel": "Excel", + "ctas.export": "Export", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Share", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ".", + "downloads.cta_download": "Download", + "downloads.cta_na": "Not available", + "downloads.head": "About the Data", + "downloads.industry_copy": "PILA (the Integrated Report of Social Security Contributions), managed by the Ministry of Health) is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry. Colombia\u2019s industry classification is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). The list of industries can be found in the downloadable databases for industries. The list of industries in the ISIC which are not included in the industry space (for reasons explained in \"Calculation Methods\") can be downloaded here.", + "downloads.industry_head": "Industry data (PILA)", + "downloads.industry_row_1": "Employment, wages, number of firms and complexity indicators ({{yearRange}})", + "downloads.list_of_cities.header": "Lists of departments, cities and municipalities", + "downloads.map.cell": "Map boundary and geo data is from GeoFabrik.de, based on OpenStreetMap data", + "downloads.map.header": "Map Data", + "downloads.occupations_copy": "All data on occupations (wages offered by occupation and industry, and occupational structure by industry) come from job vacancy announcements placed by firms in public and private Internet job sites. Occupations are classified according to the Occupational Information Network Numerical Index (ONET). The data were processed by Jeisson Arley C\u00e1rdenas Rubio, researcher of Universidad del Rosario, Bogot\u00e1, and Jaime Mauricio Monta\u00f1a Doncel, Masters student at the Paris School of Economics.", + "downloads.occupations_head": "Occupations data", + "downloads.occupations_row_1": "Job vacancies and wages offered (2014)", + "downloads.other_copy": "DANE (the National Statistical Office) is the source of all data on GDP and population.", + "downloads.other_head": "Other data (DANE)", + "downloads.other_row_1": "GDP and demographic variables", + "downloads.thead_departments": "Departments", + "downloads.thead_met": "Cities", + "downloads.thead_muni": "Municipalities", + "downloads.thead_national": "National", + "downloads.trade_copy": "The source of all data on exports and imports by department and municipality is DIAN\u2019s Customs Data (DIAN is the National Tax and Customs Authority). Colombian Customs uses the product classification NANDINA, which matches the Harmonized System (HS) classification at the 6-digit level. We then standardize that to HS 1992 in order to fix any version inconsistencies across the years in order to be able to view the data over time. The list of products can be found in the downloadable databases for exports and imports.

The origin of an export is established in two stages. First, the department of origin is defined as the last place of processing, assembly or packaging, according with DIAN. Then, export values are distributed among municipalities according with the composition of employment of the exporting firm based on PILA (for firms without this information the value is assigned to the capital of department). In the case of petroleum oil (2709) and gas (2711), total export values were distributed by origin according to production by municipality (sources: Hydrocarbons National Agency and Colombian Petroleum Association), and in the case of oil refined products (2710), according to value added by municipality (industries 2231, 2322 y 2320 SIIC revision 3, Annual Manufacturing Survey, DANE).

\u00a0

Export totals by product may not correspond to official data because the following are excluded: (a) exports lacking information on the industry of the exporter and/or the department or municipality of origin, and (b) exports for which DIAN reports free zones as the place of destination; while the following are included: (c) exports from free zones, which DIAN does not include in those export totals.

In a similar fashion, import totals by product may not correspond to official data because the following are excluded: (a) imports lacking information on the department or municipality of destination, and (b) imports for which DIAN reports free zones as the place of origin; while the following are included: (c) imports done by free zones, which DIAN does not include in those import totals.

A file that describes the correspondence between the HS version used by DIAN and HS 1992 can be found here.

Included here is a file with the list of products in the Harmonized System that are not represented in the product space (for reasons explained in \"Calculation Methods\").", + "downloads.trade_head": "Trade data (DIAN)", + "downloads.trade_row_1": "Exports, imports and export complexity indicators ({{yearRange}})", + "downloads.trade_row_2": "Exports and imports with country of destination and origin ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Products", + "general.geo": "Geographic map", + "general.glossary": "Glossary", + "general.industries": "Industries", + "general.industry": "industry", + "general.location": "location", + "general.locations": "Locations", + "general.multiples": "Area charts", + "general.occupation": "occupation", + "general.occupations": "Occupations", + "general.product": "product", + "general.scatter": "Scatterplot", + "general.similarity": "Industry Space", + "general.total": "Total", + "general.treemap": "Treemap", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glossary", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.industry.cities.employment": "Total employment", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.cities.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.departments.employment": "Total employment", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.departments.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.locations.employment": "Total employment", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.locations.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total advertised vacancies", + "graph_builder.builder_mod_header.landUse.departments.area": "Total Area", + "graph_builder.builder_mod_header.landUse.municipalities.area": "Total Area ", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "Land harvested (hectares)", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "Land sown (hectares)", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "Number of farms", + "graph_builder.builder_mod_header.location.industries.employment": "Total employment", + "graph_builder.builder_mod_header.location.industries.scatter": "Complexity,distance and opportunity gain of potential industries", + "graph_builder.builder_mod_header.location.industries.similarity": "Industries with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.location.industries.wages": "Total wages", + "graph_builder.builder_mod_header.location.landUses.area": "Total Area ", + "graph_builder.builder_mod_header.location.livestock.num_farms": "Number of livestock farms", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.location.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.location.partners.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.export_value": "Total exports", + "graph_builder.builder_mod_header.location.products.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.scatter": "Complexity, distance and opportunity gain of potential export products", + "graph_builder.builder_mod_header.location.products.similarity": "Export products with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.product.cities.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.cities.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.departments.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.departments.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.product.partners.import_value": "Total imports", + "graph_builder.builder_nav.header": "More graphs for this {{entity}}", + "graph_builder.builder_nav.intro": "Select a question to see the corresponding graph. If the question has missing parameters ({{icon}}) , you\u2019ll fill those in when you click.", + "graph_builder.builder_questions.city": "Questions: Cities", + "graph_builder.builder_questions.department": "Questions: Departments", + "graph_builder.builder_questions.employment": "Questions: Employment", + "graph_builder.builder_questions.export": "Questions: Exports", + "graph_builder.builder_questions.import": "Questions: Imports", + "graph_builder.builder_questions.industry": "Questions: Industries", + "graph_builder.builder_questions.landUse": "Questions: Land Use ", + "graph_builder.builder_questions.location": "Questions: Locations", + "graph_builder.builder_questions.occupation": "Questions: Occupations", + "graph_builder.builder_questions.partner": "Questions: Partners", + "graph_builder.builder_questions.product": "Questions: Products", + "graph_builder.builder_questions.wage": "Questions: Total Wages", + "graph_builder.change_graph.geo_description": "Map the data", + "graph_builder.change_graph.label": "Change graph", + "graph_builder.change_graph.multiples_description": "Compare growth over time", + "graph_builder.change_graph.scatter_description": "Plot complexity and distance", + "graph_builder.change_graph.similarity_description": "Show revealed comparative advantages", + "graph_builder.change_graph.treemap_description": "See composition at different levels", + "graph_builder.change_graph.unavailable": "Graph is unavailable for this question", + "graph_builder.download.agproduct": "Agricultural Product", + "graph_builder.download.area": "Area", + "graph_builder.download.average_wages": "Avg. monthly wage, Col$", + "graph_builder.download.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.download.code": "Code", + "graph_builder.download.cog": "Opportunity gain", + "graph_builder.download.complexity": "Complexity", + "graph_builder.download.distance": "Distance", + "graph_builder.download.eci": "Export complexity", + "graph_builder.download.employment": "Employment", + "graph_builder.download.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.download.export": "Export", + "graph_builder.download.export_num_plants": "Firm number", + "graph_builder.download.export_rca": "Revealed comparative advantage", + "graph_builder.download.export_value": "Exports, USD", + "graph_builder.download.farmtype": "Farm Type", + "graph_builder.download.gdp_pc_real": "GDP per Capita, Col $", + "graph_builder.download.gdp_real": "GDP, Col $", + "graph_builder.download.import_value": "Imports, USD", + "graph_builder.download.industry": "Industry", + "graph_builder.download.industry_eci": "Industry complexity", + "graph_builder.download.land_harvested": "Land harvested (ha)", + "graph_builder.download.land_sown": "Land sown (ha)", + "graph_builder.download.land_use": "Land Use", + "graph_builder.download.less_than_5": "Less than 5", + "graph_builder.download.livestock": "Livestock", + "graph_builder.download.location": "Location", + "graph_builder.download.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.download.name": "Name", + "graph_builder.download.num_establishments": "Firm number", + "graph_builder.download.num_farms": "Number of farms", + "graph_builder.download.num_livestock": "Number of livestock", + "graph_builder.download.num_vacancies": "Vacancies", + "graph_builder.download.occupation": "Occupation", + "graph_builder.download.parent": "Parent", + "graph_builder.download.population": "Population", + "graph_builder.download.production_tons": "Production (tons)", + "graph_builder.download.rca": "Revealed comparative advantage", + "graph_builder.download.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.download.wages": "Total wages, Col$", + "graph_builder.download.year": "Year", + "graph_builder.download.yield_index": "Yield Index", + "graph_builder.download.yield_ratio": "Yield (tons/ha)", + "graph_builder.explanation": "Explanation", + "graph_builder.explanation.agproduct.departments.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.hide": "Hide", + "graph_builder.explanation.industry.cities.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.cities.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Shows the composition of vacancies announced in Internet sites and wages offered.", + "graph_builder.explanation.landUse.departments.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.landUse.municipalities.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.agproducts.land_harvested": "Shows the composition of agricultural products of this location, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.land_sown": "Shows the composition of agricultural products of this location, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.production_tons": "Shows the composition of agricultural products of this location, by weight. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.farmtypes.num_farms": "Shows the composition of farms in this location, by type of farm. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.industries.employment": "Shows the industry composition of formal empoyment in the department. Source: PILA.", + "graph_builder.explanation.location.industries.scatter": "Dots represent industries. Upon selecting a dot, a display shows the industry name and its revealed comparative advantage in the location. Colors represent industry groups (see the table). The vertical axis is the Industry Complexity Index and the horizontal axis is the Distance from the existing industries, where shorter distances mean that the location has more of the knowhow needed to develop the industry. The size of the dots is proportional to the Opportunity Gain of the industry for the department, namely the potential that the industry offers for the department to acquire new capabilities that may help to develop other industries. The more interesting industries are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.industries.similarity": "The industry technological similarity space (or industry space) shows how similar is the knowhow required by any pair of industries. Each dot represents an industry. Dots connected with a line represent industries that require similar knowhow. Dots colored are industries with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an industry group (see table). Upon selecting a dot, a display shows the industry name, its RCA and its links to other industries. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.location.industries.wages": "Shows the industry composition of total wages paid in the department or city. Source: PILA.", + "graph_builder.explanation.location.landUses.area": "Shows the composition of land uses in this location, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_farms": "Shows the composition of livestock types of this location, by number of farms. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_livestock": "Shows the composition of livestock types of this location, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.partners.export_value": "Shows the destination country composition of exports of this place, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Shows the countries from which this location imports products, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.products.export_value": "Shows the product composition of exports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.import_value": "Shows the product composition of imports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.scatter": "Dots represent export products. Upon selecting a dot, a display shows the product name and its revealed comparative advantage in the department or city. Colors represent product groups (see the table). The vertical axis is the Product Complexity Index and the horizontal axis is the Distance from the existing exports, where shorter distances mean that the location has more of the knowhow needed to export the product. The dashed line is the average Index of Economic Complexity of the place. The size of the dots is proportional to the Opportunity Gain of the export for the department or city, namely the potential that exporting the product offers for the department or city to acquire new capabilities that may help to export other products. The more interesting export products are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.products.similarity": "The product technological similarity space (or product space) shows how similar is the knowhow required by any pair of export products. Each dot represents an export product. Dots connected with a line represent products that require similar knowhow. Dots colored are products with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an export group (see table). Upon selecting a dot, a display shows the product name, its RCA and its links to other products. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.product.cities.export_value": "Shows the composition by city of the product exports. Source: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Shows the composition by city of the product imports. Source: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Shows the composition by department of the product exports. Source: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Shows the composition by department of the product imports. Source: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Shows where Colombia exports this product to, nested by world regions. Source: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Shows where Colombia imports this product from, nested by world regions. Source: DIAN.", + "graph_builder.explanation.show": "Show", + "graph_builder.multiples.show_all": "Show All", + "graph_builder.page_title.agproduct.departments.land_harvested": "What departments harvest this agricultural product?", + "graph_builder.page_title.agproduct.departments.land_sown": "What departments sow this agricultural product?", + "graph_builder.page_title.agproduct.departments.production_tons": "What departments produce this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "What municipalities harvest this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_sown": "What municipalities sow this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.production_tons": "What municipalities produce this agricultural product?", + "graph_builder.page_title.industry.cities.employment": "What cities in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.cities.wages": "What cities in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.departments.employment": "What departments in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.departments.wages": "What departments in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.occupations.num_vacancies": "What occupations does this industry employ?", + "graph_builder.page_title.landUse.departments.area": "Which departments have this type of land use?", + "graph_builder.page_title.landUse.municipalities.area": "Which municipalities have this type of land use?", + "graph_builder.page_title.location.agproducts.land_harvested.country": "What agricultural products are harvested in Colombia?", + "graph_builder.page_title.location.agproducts.land_harvested.department": "What agricultural products are harvested in this department?", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "What agricultural products are harvested in this municipality?", + "graph_builder.page_title.location.agproducts.land_sown.country": "What agricultural products are planted in Colombia?", + "graph_builder.page_title.location.agproducts.land_sown.department": "What agricultural products are planted in this department?", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "What agricultural products are planted in this municipality?", + "graph_builder.page_title.location.agproducts.production_tons.country": "What agricultural products are produced in Colombia?", + "graph_builder.page_title.location.agproducts.production_tons.department": "What agricultural products are produced in this department?", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "What agricultural products are produced in this municipality?", + "graph_builder.page_title.location.destination_by_product.export_value.department": "Where does this department export oil to?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "Where does this department import cars from?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "What types of farms are there in Colombia?", + "graph_builder.page_title.location.farmtypes.num_farms.department": "What types of farms are there in this department?", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "What types of farms are there in this municipality?", + "graph_builder.page_title.location.industries.employment.country": "What industries in Colombia employ the most people?", + "graph_builder.page_title.location.industries.employment.department": "What industries in this department employ the most people?", + "graph_builder.page_title.location.industries.employment.msa": "What industries in this city employ the most people?", + "graph_builder.page_title.location.industries.employment.municipality": "What industries in this municipality employ the most people?", + "graph_builder.page_title.location.industries.scatter.country": "What relatively complex industries have the most possibilities for Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "What relatively complex industries have the most possibilities for this department?", + "graph_builder.page_title.location.industries.scatter.msa": "What relatively complex industries have the most possibilities for this city?", + "graph_builder.page_title.location.industries.scatter.municipality": "What relatively complex industries have the most possibilities for this municipality?", + "graph_builder.page_title.location.industries.similarity.country": "Where is Colombia in the industry space?", + "graph_builder.page_title.location.industries.similarity.department": "Where is this department in the industry space?", + "graph_builder.page_title.location.industries.similarity.msa": "Where is this city in the industry space?", + "graph_builder.page_title.location.industries.similarity.municipality": "Where is this municipality in the industry space?", + "graph_builder.page_title.location.industries.wages.country": "What industries in Colombia are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.department": "What industries in this department are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.msa": "What industries in this city are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.municipality": "What industries in this municipality are the largest by total wages?", + "graph_builder.page_title.location.landUses.area.country": "Which types of land uses are in Colombia?", + "graph_builder.page_title.location.landUses.area.department": "Which types of land uses are in this department?", + "graph_builder.page_title.location.landUses.area.municipality": "Which types of land uses are in this municipality?", + "graph_builder.page_title.location.livestock.num_farms.country": "What kinds of livestock farms does Colombia have?", + "graph_builder.page_title.location.livestock.num_farms.department": "What kinds of livestock farms does this department have?", + "graph_builder.page_title.location.livestock.num_farms.municipality": "What kinds of livestock farms does this municipality have?", + "graph_builder.page_title.location.livestock.num_livestock.country": "What kinds of livestock does Colombia have?", + "graph_builder.page_title.location.livestock.num_livestock.department": "What kinds of livestock does this department have?", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "What kinds of livestock does this municipality have?", + "graph_builder.page_title.location.partners.export_value.country": "What countries does Colombia export to?", + "graph_builder.page_title.location.partners.export_value.department": "What countries does this department export to?", + "graph_builder.page_title.location.partners.export_value.msa": "What countries does this city export to?", + "graph_builder.page_title.location.partners.export_value.municipality": "What countries does this municipality export to?", + "graph_builder.page_title.location.partners.import_value.country": "What countries does Colombia import from?", + "graph_builder.page_title.location.partners.import_value.department": "What countries does this department import from?", + "graph_builder.page_title.location.partners.import_value.msa": "What countries does this city import from?", + "graph_builder.page_title.location.partners.import_value.municipality": "What countries does this municipality import from?", + "graph_builder.page_title.location.products.export_value.country": "What products does Colombia export?", + "graph_builder.page_title.location.products.export_value.department": "What products does this department export?", + "graph_builder.page_title.location.products.export_value.msa": "What products does this city export?", + "graph_builder.page_title.location.products.export_value.municipality": "What products does this municipality export?", + "graph_builder.page_title.location.products.import_value.country": "What products does Colombia import?", + "graph_builder.page_title.location.products.import_value.department": "What products does this department import?", + "graph_builder.page_title.location.products.import_value.msa": "What products does this city import?", + "graph_builder.page_title.location.products.import_value.municipality": "What products does this municipality import?", + "graph_builder.page_title.location.products.scatter.country": "What products have the most potential for Colombia?", + "graph_builder.page_title.location.products.scatter.department": "What products have the most potential for this department?", + "graph_builder.page_title.location.products.scatter.msa": "What products have the most potential for this city?", + "graph_builder.page_title.location.products.scatter.municipality": "What products have the most potential for this municipality?", + "graph_builder.page_title.location.products.similarity.country": "Where is Colombia in the product space?", + "graph_builder.page_title.location.products.similarity.department": "Where is this department in the product space?", + "graph_builder.page_title.location.products.similarity.msa": "Where is this city in the product space?", + "graph_builder.page_title.location.products.similarity.municipality": "Where is this municipality in the product space?", + "graph_builder.page_title.product.cities.export_value": "What cities in Colombia export this product?", + "graph_builder.page_title.product.cities.import_value": "What cities in Colombia import this product?", + "graph_builder.page_title.product.departments.export_value": "What departments in Colombia export this product?", + "graph_builder.page_title.product.departments.import_value": "What departments in Colombia import this product?", + "graph_builder.page_title.product.partners.export_value": "Where does Colombia export this product to?", + "graph_builder.page_title.product.partners.export_value.destination": "Where does {{location}} export {{product}} to?", + "graph_builder.page_title.product.partners.import_value": "Where does Colombia import this product from?", + "graph_builder.page_title.product.partners.import_value.origin": "Where does {{location}} import {{product}} from?", + "graph_builder.questions.label": "Change question", + "graph_builder.recirc.header.industry": "Read the profile for this industry", + "graph_builder.recirc.header.location": "Read the profile for this location", + "graph_builder.recirc.header.product": "Read the profile for this product", + "graph_builder.search.placeholder.agproducts": "Highlight agricultural products in the graph below", + "graph_builder.search.placeholder.cities": "Highlight a city on the graph below", + "graph_builder.search.placeholder.departments": "Highlight a department on the graph below", + "graph_builder.search.placeholder.farmtypes": "Highlight a farm type in the graph below", + "graph_builder.search.placeholder.industries": "Highlight industries on the graph below", + "graph_builder.search.placeholder.landUses": "Highlight a land use on the graph below", + "graph_builder.search.placeholder.livestock": "Highlight a livestock type in the graph below", + "graph_builder.search.placeholder.locations": "Highlight locations on the graph below", + "graph_builder.search.placeholder.municipalities": "Highlight a municipality on the graph below", + "graph_builder.search.placeholder.occupations": "Highlight an occupation on the graph below", + "graph_builder.search.placeholder.partners": "Highlight trade partners on the graph below", + "graph_builder.search.placeholder.products": "Highlight products on the graph below", + "graph_builder.search.submit": "Highlight", + "graph_builder.settings.change_time": "Change time period", + "graph_builder.settings.close_settings": "Save and close", + "graph_builder.settings.label": "Change Characteristics", + "graph_builder.settings.rca": "Revealed comparative advantage", + "graph_builder.settings.rca.all": "All", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "to", + "graph_builder.settings.year": "Years", + "graph_builder.settings.year.next": "Next", + "graph_builder.settings.year.previous": "Previous", + "graph_builder.table.agproduct": "Agricultural Product", + "graph_builder.table.area": "Area ", + "graph_builder.table.average_wages": "Avg. monthly wage, Col$", + "graph_builder.table.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.table.code": "Code", + "graph_builder.table.cog": "Opportunity gain", + "graph_builder.table.coi": "Export complexity outlook", + "graph_builder.table.complexity": "Complexity", + "graph_builder.table.country": "Country", + "graph_builder.table.distance": "Distance", + "graph_builder.table.eci": "Export complexity", + "graph_builder.table.employment": "Employment", + "graph_builder.table.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.table.export": "Export", + "graph_builder.table.export_num_plants": "Firm number", + "graph_builder.table.export_rca": "Revealed comparative advantage", + "graph_builder.table.export_value": "Exports, USD", + "graph_builder.table.farmtype": "Farm Type", + "graph_builder.table.gdp_pc_real": "GDP per Capita", + "graph_builder.table.gdp_real": "GDP", + "graph_builder.table.import_value": "Imports, USD", + "graph_builder.table.industry": "Industry", + "graph_builder.table.industry_coi": "Industry complexity outlook", + "graph_builder.table.industry_eci": "Industry complexity", + "graph_builder.table.land_harvested": "Land harvested (ha)", + "graph_builder.table.land_sown": "Land sown (ha)", + "graph_builder.table.land_use": "Land Use", + "graph_builder.table.less_than_5": "Less than 5", + "graph_builder.table.livestock": "Livestock", + "graph_builder.table.location": "Location", + "graph_builder.table.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.table.name": "Name", + "graph_builder.table.num_establishments": "Firm number", + "graph_builder.table.num_farms": "Number of farms", + "graph_builder.table.num_livestock": "Number of livestock", + "graph_builder.table.num_vacancies": "Vacancies", + "graph_builder.table.occupation": "Occupation", + "graph_builder.table.parent": "Parent", + "graph_builder.table.parent.country": "Region", + "graph_builder.table.population": "Population", + "graph_builder.table.production_tons": "Production (tons)", + "graph_builder.table.rca": "Revealed comparative advantage", + "graph_builder.table.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.table.share": "Share", + "graph_builder.table.wages": "Total wages, Col$ (in thousands)", + "graph_builder.table.year": "Year", + "graph_builder.table.yield_index": "Yield Index", + "graph_builder.table.yield_ratio": "Yield (tons/ha)", + "graph_builder.view_more": "View more", + "header.destination": "Destination", + "header.destination_by_products": "Destinations by Products", + "header.employment": "Employment", + "header.export": "Exports", + "header.import": "Imports", + "header.industry": "Industries", + "header.industry_potential": "Potential", + "header.industry_space": "Industry space", + "header.landUse": "Land Use", + "header.land_harvested": "Land Harvested", + "header.land_sown": "Land Sown", + "header.occupation": "Occupations", + "header.occupation.available_jobs": "Job openings", + "header.origin": "Origin", + "header.origin_by_products": "Origin by Products", + "header.overview": "Overview", + "header.partner": "Partners", + "header.product": "Products", + "header.product_potential": "Potential", + "header.product_space": "Product space", + "header.production_tons": "Production", + "header.region": "By department", + "header.subregion": "By city", + "header.subsubregion": "By municipality ", + "header.wage": "Total wages", + "index.builder_cta": "Build graphs about coffee", + "index.builder_head": "Then dive into the graph builder", + "index.builder_subhead": "Create graphs and maps for your presentations", + "index.complexity_caption": "How good is it? Country growth predictions using economic complexity were more than six times as accurate as conventional metrics, such as the Global Competitiveness Index.", + "index.complexity_cta": "Read more about complexity concepts", + "index.complexity_figure.WEF_name": "Global Competitiveness Index", + "index.complexity_figure.complexity_name": "Complexity ranking", + "index.complexity_figure.head": "Growth explained (percent of 10-year variance)", + "index.complexity_head": "The complexity advantage", + "index.complexity_subhead": "Countries that export complex products, which require a lot of knowledge, grow faster than those that export raw materials. Using the methods of measuring and visualizing economic complexity developed by Harvard University, Datlas helps to explore the production and export possibilities of every city and department in Colombia.", + "index.country_profile": "Read the profile for Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.future_head": "Mapping the future", + "index.future_subhead": "Scatterplots and network diagrams help find the untapped markets best suited to a city or a department.", + "index.graphbuilder.id": "87", + "index.header_h1": "The Colombian Atlas of Economic Complexity", + "index.header_head": "You haven\u2019t seen Colombia like this before", + "index.header_subhead": "Visualize the possibilities for industries, exports and locations across Colombia.", + "index.industry_head": "Learn about an industry", + "index.industry_q1": "Where in Colombia does the chemical industry employ the most people?", + "index.industry_q1.id": "461", + "index.industry_q2": "What occupations are demanded by the chemical industry?", + "index.industry_q2.id": "461", + "index.location_head": "Learn about a location", + "index.location_q1": "What industries in Bogot\u00e1 Met employ the most people?", + "index.location_q1.id": "41", + "index.location_q2": "What products have the most potential in Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "See all questions", + "index.present_head": "Charting the present", + "index.present_subhead": "Use our treemaps, charts, and maps to break down your department, city or municipality\u2019s exports and employment.", + "index.product_head": "Learn about an export", + "index.product_q1": "What places in Colombia export computers?", + "index.product_q1.id": "1143", + "index.product_q2": "What places in Colombia import computers?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Read the profile for Antioquia", + "index.profiles_head": "Start with our profiles", + "index.profiles_subhead": "Just the essentials, presented as a one-page summary", + "index.questions_head": "We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Research featured in", + "industry.show.avg_wages": "Average wages ({{year}})", + "industry.show.employment": "Employment ({{year}})", + "industry.show.employment_and_wages": "Formal employment and wages", + "industry.show.employment_growth": "Employment growth rate ({{yearRange}})", + "industry.show.industries": "Industries", + "industry.show.industry_composition": "Industry composition, {{year}}", + "industry.show.occupation": "Occupations", + "industry.show.occupation_demand": "Occupations most demanded by this industry, 2014", + "industry.show.value": "Value", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "department", + "location.model.msa": "city", + "location.model.municipality": "municipality", + "location.show.ag_farmsize": "Avg. agricultural farm size (ha)", + "location.show.all_departments": "Compared to the other departments", + "location.show.all_regions": "Compared to the other locations", + "location.show.bullet.gdp_grow_rate": "The GDP growth rate in the period {{yearRange}} was {{gdpGrowth}}, compared to 5.3% for Colombia", + "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$15.1 million for Colombia in 2014.", + "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 46.3 million in Colombia as a whole in 2014.", + "location.show.eci": "Export complexity", + "location.show.employment": "Employment ({{lastYear}})", + "location.show.employment_and_wages": "Formal employment and wages", + "location.show.export_possiblities": "Export possiblities", + "location.show.export_possiblities.footer": "Some exports make not be viable due to local factors not considered by the technological similarity approach.", + "location.show.export_possiblities.intro": "We\u2019ve found that countries which export complex products grow faster than those which export simple products. Using the product space presented above, we\u2019ve highlighted \u00a0high potential products for {{name}}, ranked by which have the highest combination of opportunity and complexity.", + "location.show.exports": "Exports ({{year}})", + "location.show.exports_and_imports": "Exports and imports", + "location.show.gdp": "GDP", + "location.show.gdp_pc": "GDP per Capita", + "location.show.growth_annual": "Growth rate ({{yearRange}})", + "location.show.imports": "Imports ({{year}})", + "location.show.nonag_farmsize": "Avg. nonagricultural farm size (ha)", + "location.show.overview": "Overview", + "location.show.population": "Population", + "location.show.subregion.exports": "Export Composition by Municipality ({{year}})", + "location.show.subregion.imports": "Import Composition by Municipality ({{year}})", + "location.show.subregion.title": "Export and Import by Municipality", + "location.show.total_wages": "Total wages ({{lastYear}})", + "location.show.value": "Value", + "pageheader.about": "About", + "pageheader.alternative_title": "Atlas of Economic Complexity", + "pageheader.brand_slogan": "You haven't seen Colombia like this before", + "pageheader.download": "About the Data", + "pageheader.graph_builder_link": "Graph Builder", + "pageheader.profile_link": "Profile", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Search", + "pageheader.search_placeholder": "Search for a location, product or industry", + "pageheader.search_placeholder.industry": "Search for a industry", + "pageheader.search_placeholder.location": "Search for a location", + "pageheader.search_placeholder.product": "Search for a product", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explanation", + "rankings.intro.p": "Compare departments and cities across Colombia.", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Cities", + "rankings.section.departments": "Departments", + "rankings.table-title": "rank", + "search.didnt_find": "Didn\u2019t find what you were looking for? Let us know: Datlascolombia@bancoldex.com", + "search.header": "results", + "search.intro": "Search for the location, product, industry or occupation that you\u2019re interested in", + "search.level.4digit": "HS (1992) four-digit", + "search.level.class": "ISIC four-digit", + "search.level.country": "Country", + "search.level.department": "Department", + "search.level.division": "ISIC two-digit", + "search.level.msa": "City", + "search.level.municipality": "Municipality", + "search.level.parent.4digit": "HS (1992) two-digit", + "search.level.parent.class": "ISIC two-digit", + "search.level.parent.country": "Region", + "search.placeholder": "Type here to search", + "search.results_industries": "Industries", + "search.results_locations": "Locations", + "search.results_products": "Products", + "table.export_data": "Export Data", + "thousands_delimiter": "," +}; \ No newline at end of file diff --git a/app/locales/en-col/translations_2016.js b/app/locales/en-col/translations_2016.js new file mode 100644 index 00000000..f8471f68 --- /dev/null +++ b/app/locales/en-col/translations_2016.js @@ -0,0 +1,657 @@ +export default { + "abbr_billion": "B", + "abbr_million": "M", + "abbr_thousand": "K", + "abbr_trillion": "T", + "about.downloads.explanation.p1": "Download the document explaining how each of the complexity variables of Datlas is computed.", + "about.downloads.explanation.title": "Method of calculation of complexity variables", + "about.downloads.locations": "Lists of departments, cities (including metropolitan areas) and municipalities", + "about.glossary": "

See page \"About the data\" for further information about sources, computational methods of the complexity variables and downloadable databases.

Cities

A city is a metropolitan area or a municipality with more than 50,000 inhabitants, 75% of whom reside in the main urban location (cabecera). There are 62 cities (19 metropolitan areas comprising 115 municipalities, plus 43 other cities of just one municipality). The concept of city is relevant because Datlas presents complexity indicators by department and city, but not by municipality.

Complexity

Complexity is the amount and sophistication of knowhow required to produce something. The concept of complexity is central to Datlas because productivity and growth everywhere depend on firms to successfully produce and export goods and services that require skills and knowledge that are diverse and unique. Complexity can be measured by location, by industry or by export product.

Complexity Outlook

Measures the potential of a location to reach higher complexity levels. The measure accounts for the level of complexity of the industries (or exports) along with the distance of how close the productive capabilities that these industries require are to its current industries (or exports). More specifically, it measures the likelihood of different industries (or exports) appearing and the value of their added complexity. Higher outlook values indicate \u201ccloser distance\u201d to more, and more complex, industries (or exports).

Industry complexity outlook values are computed for departments and cities, not for the rest of municipalities. Export complexity outlook values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

DANE

DANE is the National Statistical Office. It is the source of all data on GDP and population used by Datlas.

DIAN

DIAN is the National Tax and Customs Authority. It is the source of all data on exports and imports by department and municipality in Datlas.

Distance

A measure of a location\u2019s ability to enter a specific industry or export, as determined by its current productive capabilities. Also known as a capability distance, the measure accounts for the similarity between the capabilities required by an industry or export and the capabilities already present in a location\u2019s industries or exports. Where a new industry or export requires many of the same capabilities already present in a location\u2019s industries or exports, the product is considered \u201ccloser\u201d or of a shorter \u201cdistance\u201d to acquire the missing capabilities to produce it. New industries or exports of a further distance require larger sets of productive capabilities that do not exist in the location and are therefore riskier ventures or less likely to be sustained. Thus, distance reflects the proportion of the productive knowledge necessary for an industry or export that a location does not have. This is measured by the proximity between industries or exports, or the probability that two industries or exports will both be present in a location, as embodied by the industry space and product space, respectively.

Industry distance values are computed for departments and cities, but not for the rest of municipalities. Export distance values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Diversity

A measure of how many different types of products a place is able to produce. The production of a good requires a specific set of know-how; therefore, a country\u2019s total diversity is another way of expressing the amount of collective know-how that a place has.

Economic Complexity Index (ECI)

A measure of the sophistication of the productive capabilities of a location based on the diversity and ubiquity of its industries or exports. A location with high complexity produces or exports goods and services that few other locations produce. Highly complex locations tend to be more productive and generate higher wages and incomes. Countries with export baskets more sophisticated than what is expected for their income level (such as China) tend to grow faster than those where the opposite is true (such as Greece).

Industry ECI values are computed for departments and cities, but not for the rest of municipalities. Export ECI values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Formal employment and wages, and formal employment rate

Formal employment is defined as employment covered by the health social security system and/or the pension system. The self-employed are not included. Formal wages are those reported by firms to that aim. Formal employment reported is the number of formal employees in an average month. Formality rate is defined as formal employment divided by population older than 15. Employment and wage data are taken from PILA. Population data comes from DANE.

Industry Complexity Index (ICI)

A measure of the amount of productive capabilities that an industry requires to operate. The ICI and the Product Complexity Index (PCI) are closely related, but are measured through independent datasets and classification systems as the PCI is computed only for internationally tradable goods, while the ICI is calculated for all industries that generate formal employment, including the public sector. Industries are complex when they require a sophisticated level of productive knowledge, such as many financial services and pharmaceutical industries, with many individuals with distinct specialized knowledge interacting in a large organization. Complexity of the industry is measured by calculating the average diversity of locations that hold the industry and the average ubiquity of the industries that those locations hold. The formal employment data required for these calculations comes from the PILA dataset held by the Ministry of Health.

Industry classification system

Colombia\u2019s industry classification system is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). Datlas shows industry information at two- and four-digit level. All industry data come from PILA. Following national accounting conventions, workers hired by temporary employment firms are classified in the labor recruitment industry (7491), not in the industry of the firm where they physically work.

Industry technological similarity space (or industry space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between industries. Each dot represents an industry and each link between a pair of industries indicates that they require similar productive capabilities to operate. Colored dots are industries with revealed comparative advantage larger than one. When an industry is selected, the map shows the industries that require similar productive capabilities. An industry with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing industries share to untapped, complex industries determines the complexity outlook of the location. The Colombian industry similarity space is based on formal employment data by industry and municipality from the PILA dataset of the Ministry of Health.

Metropolitan area

A metropolitan area is a combination of two or more municipalities that are connected through relatively large commuting flows (irrespective of their size or contiguity). A municipality must send at least 10% of its workers as daily commuters to the rest of the metropolitan area municipalities to be included.

Based on this definition there are 19 metropolitan areas in Colombia, which comprise 115 municipalities. The resulting metro areas, which are distinct from official measures, are computed with the methodology of G. Duranton (2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Occupations

Occupations are classified according to the Occupational Information Network Numerical Index (ONET). All data on occupations (wages offered by occupation, occupational structure by industry, and education level required by occupation) come from job vacancy announcements placed by firms in public and private Internet job sites during 2014. The data were processed by Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).

Opportunity gain

Measures how much a location could benefit by developing a particular industry (or export). Also known also as \u201cstrategic value,\u201d the measure accounts for the distances to all other industries (or exports) that a location does not currently produce with revealed comparative advantage larger than one and their respective complexities. Opportunity gain quantifies how a new industry (or export) can open up links to more, and more complex, products. Thus, the measure calculates the value of an industry (or export) based on the paths it opens to industrial expansion into more complex sectors.

Industry opportunity gain values are computed for departments and cities, but not for the rest of municipalities. Export opportunity gain values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

PILA

PILA is the Integrated Report of Social Security Contributions, managed by the Ministry of Health. It is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry.

Product Complexity Index (PCI)

Measures the amount of productive capabilities required to manufacture a product. Complex exports, which include many chemical and machinery products, require a sophisticated level, and diverse base, of productive knowledge, with many individuals with distinct specialized knowledge interacting in a large organization. This contrasts with low complexity exports, like coffee, which require much less basic productive knowledge that can be found in a family-run business. UN Comtrade data are used to compute the complexity of export products.

Product technological similarity space (or product space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between export products. Each dot represents a product and each link between a pair of products indicates that the two products require similar capabilities in their production. Colored dots are exports with revealed comparative advantage larger than one. When a product is selected, the map shows the products that require similar productive capabilities. A product with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing products share to complex products that a location does not currently produce determines the complexity outlook of its exports.

The shape of the space is based on international trade data for 192 countries over 50 years. See The International Atlas of Economic Complexity.

Revealed Comparative Advantage (RCA)

Measures the relative size of an industry or an export product in a location. RCA is not a measure of productive efficiency or competitiveness, but just a \u201clocation quotient\u201d, as is often referred to. RCA is computed as the ratio between an industry\u2019s share of total formal employment in a location and the share of that industry\u2019s total formal employment in Colombia as a whole. For instance, if the chemical industry generates10% of a city\u2019s employment, while it generates only 1% of total employment in Colombia, the RCA of the industry in the city is 10. For exports, RCA is the ratio between the share of the export in the export basket of the location and its share in total world trade. If this ratio is larger than 1, the location is said to have revealed comparative advantage in the industry or export. For instance, if a department\u2019s coffee exports are 30% of its exports but coffee accounts for just 0.3% of world trade, the department\u2019s RCA in coffee is 100.

Ubiquity

A measure of the number of places that are able to make a product.

UPAs and UPNAs

Rural production units are classified according to DANE\u2019s Agricultural National Census (2014) in \u201cagriculture production units\u201d, or UPAs, and \u201cnon-agriculture production units\u201d, or UPNAs. While agriculture production (which includes crops and livestock) can only take place in UPAs, both UPAs and UPNAs may have non-agriculture production activities.

Yield

For any product and location, land productivity is the yield in tons per hectare of harvested land. Computations are made by agricultural year (adding up the second semester of the previous year and the first semester of the corresponding year) with data taken from the Ministry of Agriculture\u2019s Agronet survey (2017).

Yield Indices

A yield index (for any product and location) is the yield divided by the national-level yield. Yield indexes for more than one product (by location) are computed as the weighted average of the yield indices of the products, where the weights are the corresponding lands harvested for each product.

\n", + "about.glossary_name": "Glossary", + "about.project_description.cid.header": "CID and the Growth Lab", + "about.project_description.cid.p1": "This project was developed by the Center for International Development at Harvard University, under the leadership of Professor Ricardo Hausmann.", + "about.project_description.cid.p2": "The Center for International Development (CID) at Harvard University works to advance the understanding of development challenges and offer viable, inclusive solutions to problems of global poverty. The Growth Lab is one of CID\u2019s core research programs.", + "about.project_description.contact.header": "Contact information", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex is the entrepreneurial development bank of Colombia. It is committed to developing financial and non-financial instruments geared to enhance the competitiveness, productivity, growth and internationalization of Colombian enterprises. Leveraging on its unique relational equity and market position, Banc\u00f3ldex manages financial assets, develops access solutions to financing and deploys innovative capital solutions, to foster and accelerate company growth. Besides offering traditional loans, Banc\u00f3ldex has been appointed to implement several development program such as iNNpulsa Colombia, iNNpulsa Mipyme, Banca de las Oportunidades, and the Productive Transformation Program, all of them, in an effort to consolidate an integrated offer to promote Colombian business environment and overall competitiveness. Datlas elaborates on the work that Banc\u00f3ldex has been undertaking through its Productive Transformation Program and INNpulsa Colombia initiatives.", + "about.project_description.founder2.header": "The National Department of Planning", + "about.project_description.founder2.p": "The National Department of Planning (DNP) is an Administrative Department that belongs to the executive branch of public power and reports directly to the President of the Republic. The DNP is a technical institution that promotes the implementation of a strategic vision for the country in the social, economic and environmental fields, through the design, direction and evaluation of public policies to Colombia, also is the responsible of the management, allocation of the public investment and the realization of the plans, programs and projects of the government.", + "about.project_description.founder3.header": "Mario Santo Domingo Foundation", + "about.project_description.founder3.p": "Created in 1953, the Mario Santo Domingo Foundation (FMSD) is a non-profit organization dedicated to implementing community development programs in Colombia. FMSD decided to concentrate its main efforts in the construction of affordable housing within a Community Development Model, named Integral Development of Sustainable Communities (DINCS in its Spanish initials) and designed by the FMSD as a response to the large housing deficit in Colombia. Through this program, the FMSD delivers social support for families, and social infrastructure and urban development for the less privileged. FMSD also supports entrepreneurs in the Northern region of Colombia and in Bogot\u00e1 through its Microfinance Unit which provides training and financial services such as microcredit. More than 130,000 entrepreneurs have received loans from the Foundation since its launch in 1984. The FMSD works also to identify alliances and synergies between the public and private sectors in critical social development areas such as early childhood, environmental sustainability, disaster attention, education and health.", + "about.project_description.founders.header": "Founding Partners", + "about.project_description.founders.p": "This project is funded by Banc\u00f3ldex and Fundaci\u00f3n Mario Santo Domingo ", + "about.project_description.github": "See our code", + "about.project_description.intro.p1": "In Colombia, income gaps between regions are huge and have been growing: new job opportunities are increasingly concentrated in the metropolitan areas of Bogot\u00e1, Medell\u00edn and Cali, as well as a few places where oil and other minerals are extracted. The average income of residents of Bogot\u00e1 is four times that of Colombians living in the 12 poorest departments", + "about.project_description.intro.p2": "Datlas is a diagnostic tool that firms, investors and policymakers can use to improve the productivity of departments, cities and municipalities. It maps the geographical distribution of Colombia\u2019s productive activities and employment by department, metropolitan area and municipality, and identifies exports and industries of potential to increase economic complexity and accelerate growth.", + "about.project_description.intro.p3": "Economic complexity is a measure of the amount of productive capabilities, or knowhow, that a country or a city has. Products are vehicles for knowledge. To make a shirt, one must design it, produce the fabric, cut it, sew it, pack it, market it and distribute it. For a country to produce shirts, it needs people who have expertise in each of these areas. Each of these tasks involves many more capabilities than any one person can master. Only by combining know-how from different people can any one product be made. The road to economic development involves increasing what a society knows how to do. Countries with more productive capabilities can make a greater diversity of products. Economic growth occurs when countries develop the capabilities and productive knowledge to produce more, and more complex, products.", + "about.project_description.intro.p4": "This conceptual approach, which has been applied at the international level in The Atlas of Economic Complexity, is now used in this online tool to investigate export and industry possibilities at the sub-national level in Colombia.", + "about.project_description.letter.header": "Sign up for our Newsletter", + "about.project_description.letter.p": "Sign up for CID\u2019s Research Newsletter to keep up-to-date with related breakthrough research and practical tools, including updates to this site http://www.hks.harvard.edu/centers/cid/news-events/subscribe ", + "about.project_description.team.header": "Academic and Technical Team", + "about.project_description.team.p": "The academic team at Harvard\u2019s CID included Ricardo Hausmann (director), Andr\u00e9s G\u00f3mez- Li\u00e9vano, Eduardo Lora and Sid Ravinutala. In previous phases of the project, Tim Cheston, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery and Juan T\u00e9llez were part of the academic team. Programming and visualization team at Harvard\u2019s CID: Annie White (coordinator) and Mali Akmanalp. In previous phases of the project, Katy Harris, Quinn Lee, Greg Shapiro, Romain Vuillemot and Gus Wezerek were part of the programming and visualization team. Compilation and processing of job vacancies data in Colombia were done by Jeisson Arley C\u00e1rdenas Rubio (Institute for Employment Research \u2013IER, University of Warwick) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics). Updates by Gustavo Montes and Oscar Hern\u00e1ndez (Banc\u00f3ldex).", + "about.project_description_name": "About", + "census_year": "2014", + "country.show.ag_farmsize": "45.99 ha", + "country.show.agproducts": "Tons Produced Per Crop in Colombia", + "country.show.agproducts.production_tons": "Production (tons)", + "country.show.average_livestock_load": "628 livestock / UPA", + "country.show.dotplot-column": "Departments Across Colombia", + "country.show.eci": "0.037", + "country.show.economic_structure": "Economic Structure", + "country.show.economic_structure.copy.p1": "With a population of 49.5 million (as of December 2017), Colombia is the third largest country in Latin America. Its total GDP in 2016 was Col$772.4 trillion, or US$253.2 billion at the average exchange rate of 2016 (1 US dollar = 3.050 Colombian pesos). In 2016, income per capita reached Col$17.708.353 or US$5.806 . Colombia\u2019s economic growth rate hits 2% in 2016.", + "country.show.economic_structure.copy.p2": "Business and financial services contribute 20.9% of GDP, making it the largest industry, followed by governmental, communal and personal services (15,4%) and manufacturing activities (11,2%). Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 25.7, 13.9 and 9.7% to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", + "country.show.employment_wage_occupation": "Formal Employment, Occupations and Wages", + "country.show.employment_wage_occupation.copy.p1": "The registries of the PILA, which cover the universe of workers who make contributions to the social security system, indicate that the effective number of year-round workers in the formal sector in 2016 was 8.2 million. Bogot\u00e1 DC, Antioquia and Valle del Cauca generate, respectively 31.7%, 17.1%, and 10.8% of (effective) formal employment.", + "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2014.", + "country.show.export_complexity_possibilities": "Export Complexity and Possibilities", + "country.show.export_complexity_possibilities.copy.p1": "The concept of export complexity is similar to that of industry complexity introduced above. It has been found that countries that export products that are relatively complex for their level of economic development tend to grow faster than countries that export relatively simple products. Based on the complexity of its export basket in 2013, Colombia ranks 53rd among 124 countries and is predicted to grow at an annual rate of 3.3% in the period 2013-2023 based on its economic complexity.", + "country.show.export_complexity_possibilities.copy.p2": "The \u2018Product Technological Similarity Space\u2019 (or Product Space) shown below is a graphical network representation of technological similarities across all export products, and is based on international export patterns. Each dot or node represents a product; nodes connected by lines require similar capabilities. More connected products are clustered towards the middle of the network, implying that the capabilities they use can be deployed in the production of many other products.", + "country.show.export_complexity_possibilities.copy.p3": "The highlighted nodes represent the products that Colombia exports in relatively large amounts (more precisely, with revealed comparative advantage higher than one, see the Glossary). Colors represent product groupings (which match the colors used in the industry technological space shown above). The figure further below and the accompanying table show what export products offer the best possibilities for Colombia, given the capabilities the country already has and how \u2018distant\u2019 are those capabilities to the ones needed for each product.", + "country.show.exports": "Exports", + "country.show.exports.copy.p1": "Colombia exported US$32.5 billion in 2016, down from $35.1 billion in 2015 and $57.8 billion in 2016. Its main export partners are the United States, Panama, China and Spain. In 2016, minerals products (of which oil, coal and nickel are the largest items) comprised 51.75% of total merchandise exports, vegetables, foodstuffs and wood contributed 22.57%, and chemical and plastics products totaled 9.78% of exports. The following graphs provide further details.", + "country.show.exports_composition_by_department": "Export Composition by Department ({{year}})", + "country.show.exports_composition_by_products": "Export Composition by Product ({{year}})", + "country.show.gdp": "Col $756,152 T", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Industry Complexity", + "country.show.industry_complex.copy.p1": "Industry complexity is a measure of the range of capabilities, skills or know-how required by an industry. Industries such as chemicals and machinery are said to be highly complex, because they require a sophisticated level of productive knowledge likely to be present only in large organizations where a number of highly specialized individuals interact. Conversely, industries such as retail trade or restaurants require only a basic level of know-how which may be found at a family-run business. More complex industries contribute to raising productivity and income per- capita. Departments and cities with more complex industries have a more diversified industrial base and tend to create more formal employment.", + "country.show.industry_complex.copy.p2": "The 'IndustryTechnological Similarity Space\u2019 (or Industry Space) shown below is a graphical representation of the similarity between the capabilities and know-how required by pairs of industries. Each dot or node represents an industry; nodes connected by lines require similar capabilities. More connected industries use capabilities that can be deployed in many other industries. Colors represent industry groupings.", + "country.show.industry_space": "Industry Space", + "country.show.landuses": "Land Uses in Colombia", + "country.show.landuses.area": "Total Area (ha)", + "country.show.nonag_farmsize": "4.53 ha", + "country.show.occupation.num_vac": "Total advertised vacancies", + "country.show.population": "48.1 million", + "country.show.product_space": "Product Space", + "country.show.total": "Total", + "ctas.csv": "CSV", + "ctas.download": "Download this data", + "ctas.embed": "Embed", + "ctas.excel": "Excel", + "ctas.export": "Export", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Share", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ".", + "downloads.cta_download": "Download", + "downloads.cta_na": "Not available", + "downloads.head": "About the Data", + "downloads.industry_copy": "PILA (the Integrated Report of Social Security Contributions), managed by the Ministry of Health) is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry. Colombia\u2019s industry classification is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). The list of industries can be found in the downloadable databases for industries. The list of industries in the ISIC which are not included in the industry space (for reasons explained in \"Calculation Methods\") can be downloaded here.", + "downloads.industry_head": "Industry data (PILA)", + "downloads.industry_row_1": "Employment, wages, number of firms and complexity indicators ({{yearRange}})", + "downloads.list_of_cities.header": "Lists of departments, cities and municipalities", + "downloads.map.cell": "Map boundary and geo data is from GeoFabrik.de, based on OpenStreetMap data", + "downloads.map.header": "Map Data", + "downloads.occupations_copy": "All data on occupations (wages offered by occupation and industry, and occupational structure by industry) come from job vacancy announcements placed by firms in public and private Internet job sites. Occupations are classified according to the Occupational Information Network Numerical Index (ONET). The data were processed by Jeisson Arley C\u00e1rdenas Rubio, researcher of Universidad del Rosario, Bogot\u00e1, and Jaime Mauricio Monta\u00f1a Doncel, Masters student at the Paris School of Economics.", + "downloads.occupations_head": "Occupations data", + "downloads.occupations_row_1": "Job vacancies and wages offered (2014)", + "downloads.other_copy": "DANE (the National Statistical Office) is the source of all data on GDP and population.", + "downloads.other_head": "Other data (DANE)", + "downloads.other_row_1": "GDP and demographic variables", + "downloads.rural_agproduct": "Agricultural products", + "downloads.rural_copy": "

Two sources of rural data are utilized: DANE\u2019s Agricultural National Census (2014) and the Ministry of Agriculture\u2019s Agronet survey (2017).

Land use classification and the corresponding extensions in hectares (1 hectare = 10,000 squared meters) come from the Census. Rural production units are classified according to the Census in \u201cAgriculture Production Units\u201d, or UPAs, and \u201cNon-Agriculture Production units\u201d, or UPNAs. While agriculture production (which includes crops and livestock) can only take place in UPAs, both UPAs and UPNAs may have non-agriculture production activities. The classification of non-agriculture production activities comes from the Census and does not match the CIIU classification used for industries. UPAs and UPNAs may be informal (not registered as businesses).

Crop information, which comes from Agronet, is for agricultural years 2008-2015 (an agricultural year corresponds to the second semester of the previous year and the first semester of the corresponding year). Land sown and land harvested are measured in hectares and production is measured in metric tons (in all cases, adding the two semesters of the agricultural year). Land productivity (for any product and location) is the yield in tons per hectare of harvested land. A yield index (for any product and location) is the yield divided by the national-level yield. Yield indexes for more than one product (by location) are computed as the weighted average of the yield indices of the products, where the weights are the corresponding lands harvested for each product.

It is important to bear in mind that the information presented in this section for sugarcane corresponds to the yield (ton/ha) of green material and not to sugar. This is because there is a ratio of approximately 10 tons of green material per ton of sugar.

", + "downloads.rural_farmsize": "Size of UPA", + "downloads.rural_farmtype": "Type of UPA", + "downloads.rural_head": "Rural data", + "downloads.rural_landuse": "Land use", + "downloads.rural_livestock": "Livestock", + "downloads.rural_nonag": "Non-agricultural activities", + "downloads.thead_departments": "Departments", + "downloads.thead_met": "Cities", + "downloads.thead_muni": "Municipalities", + "downloads.thead_national": "National", + "downloads.trade_copy": "The source of all data on exports and imports by department and municipality is DIAN\u2019s Customs Data (DIAN is the National Tax and Customs Authority). Colombian Customs uses the product classification NANDINA, which matches the Harmonized System (HS) classification at the 6-digit level. We then standardize that to HS 1992 in order to fix any version inconsistencies across the years in order to be able to view the data over time. The list of products can be found in the downloadable databases for exports and imports.

The origin of an export is established in two stages. First, the department of origin is defined as the last place of processing, assembly or packaging, according with DIAN. Then, export values are distributed among municipalities according with the composition of employment of the exporting firm based on PILA (for firms without this information the value is assigned to the capital of department). In the case of petroleum oil (2709) and gas (2711), total export values were distributed by origin according to production by municipality (sources: Hydrocarbons National Agency and Colombian Petroleum Association), and in the case of oil refined products (2710), according to value added by municipality (industries 2231, 2322 and 2320 SIIC revision 3, Annual Manufacturing Survey, DANE).

\u00a0

Export totals by product may not correspond to official data because the following are excluded: (a) exports lacking information on the industry of the exporter and/or the department or municipality of origin, and (b) exports for which DIAN reports free zones as the place of destination; while the following are included: (c) exports from free zones, which DIAN does not include in those export totals.

In a similar fashion, import totals by product may not correspond to official data because the following are excluded: (a) imports lacking information on the department or municipality of destination, and (b) imports for which DIAN reports free zones as the place of origin; while the following are included: (c) imports done by free zones, which DIAN does not include in those import totals.

A file that describes the correspondence between the HS version used by DIAN and HS 1992 can be found here.

Included here is a file with the list of products in the Harmonized System that are not represented in the product space (for reasons explained in \"Calculation Methods\").", + "downloads.trade_head": "Trade data (DIAN)", + "downloads.trade_row_1": "Exports, imports and export complexity indicators ({{yearRange}})", + "downloads.trade_row_2": "Exports and imports with country of destination and origin ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Products", + "general.geo": "Geographic map", + "general.glossary": "Glossary", + "general.industries": "Industries", + "general.industry": "industry", + "general.location": "location", + "general.locations": "Locations", + "general.multiples": "Area charts", + "general.occupation": "occupation", + "general.occupations": "Occupations", + "general.product": "product", + "general.scatter": "Scatterplot", + "general.similarity": "Industry Space", + "general.total": "Total", + "general.treemap": "Treemap", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glossary", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.industry.cities.employment": "Total employment", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Average monthly wages", + "graph_builder.builder_mod_header.industry.cities.wages": "Total wages", + "graph_builder.builder_mod_header.industry.departments.employment": "Total employment", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Average monthly wages", + "graph_builder.builder_mod_header.industry.departments.wages": "Total wages", + "graph_builder.builder_mod_header.industry.locations.employment": "Total employment", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Average monthly wages", + "graph_builder.builder_mod_header.industry.locations.wages": "Total wages", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total advertised vacancies", + "graph_builder.builder_mod_header.landUse.departments.area": "Total area", + "graph_builder.builder_mod_header.landUse.municipalities.area": "Total area", + "graph_builder.builder_mod_header.livestock.departments.num_farms": "Number of UPAs", + "graph_builder.builder_mod_header.livestock.departments.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.livestock.municipalities.num_farms": "Number of UPAs", + "graph_builder.builder_mod_header.livestock.municipalities.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "Land harvested (hectares)", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "Land sown (hectares)", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.location.agproducts.yield_ratio": "Productivity (tons/ha)", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "UPAs and UPNAs", + "graph_builder.builder_mod_header.location.industries.employment": "Total employment", + "graph_builder.builder_mod_header.location.industries.scatter": "Complexity,distance and opportunity gain of potential industries", + "graph_builder.builder_mod_header.location.industries.similarity": "Industries with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.location.industries.wages": "Total wages", + "graph_builder.builder_mod_header.location.landUses.area": "Total area", + "graph_builder.builder_mod_header.location.livestock.num_farms": "Number of livestock UPAs", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.location.nonags.num_farms": "Number of UPNAs", + "graph_builder.builder_mod_header.location.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.location.partners.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.export_value": "Total exports", + "graph_builder.builder_mod_header.location.products.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.scatter": "Complexity, distance and opportunity gain of potential export products", + "graph_builder.builder_mod_header.location.products.similarity": "Export products with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.nonag.departments.num_farms": "Number of UPNAs", + "graph_builder.builder_mod_header.nonag.municipalities.num_farms": "Number of UPNAs", + "graph_builder.builder_mod_header.product.cities.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.cities.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.departments.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.departments.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.product.partners.import_value": "Total imports", + "graph_builder.builder_nav.header": "More graphs for this {{entity}}", + "graph_builder.builder_nav.intro": "Select a question to see the corresponding graph. If the question has missing parameters ({{icon}}) , you\u2019ll fill those in when you click.", + "graph_builder.builder_questions.city": "Questions: Cities", + "graph_builder.builder_questions.department": "Questions: Departments", + "graph_builder.builder_questions.employment": "Questions: Employment", + "graph_builder.builder_questions.export": "Questions: Exports", + "graph_builder.builder_questions.import": "Questions: Imports", + "graph_builder.builder_questions.industry": "Questions: Industries", + "graph_builder.builder_questions.landUse": "Questions: Land Use ", + "graph_builder.builder_questions.land_harvested": "Questions: Land Harvested", + "graph_builder.builder_questions.land_sown": "Questions: Land Sown", + "graph_builder.builder_questions.livestock_num_farms": "Questions: Number of UPAs", + "graph_builder.builder_questions.livestock_num_livestock": "Questions: Number of livestock", + "graph_builder.builder_questions.location": "Questions: Locations", + "graph_builder.builder_questions.nonag": "Questions: Non-agricultural Activities", + "graph_builder.builder_questions.occupation": "Questions: Occupations", + "graph_builder.builder_questions.partner": "Questions: Partners", + "graph_builder.builder_questions.product": "Questions: Products", + "graph_builder.builder_questions.production_tons": "Questions: Production", + "graph_builder.builder_questions.rural": "Questions: Rural activities", + "graph_builder.builder_questions.wage": "Questions: Total Wages", + "graph_builder.change_graph.geo_description": "Map the data", + "graph_builder.change_graph.label": "Change graph", + "graph_builder.change_graph.multiples_description": "Compare growth over time", + "graph_builder.change_graph.scatter_description": "Plot complexity and distance", + "graph_builder.change_graph.similarity_description": "Show revealed comparative advantages", + "graph_builder.change_graph.treemap_description": "See composition at different levels", + "graph_builder.change_graph.unavailable": "Graph is unavailable for this question", + "graph_builder.download.agproduct": "Agricultural Product", + "graph_builder.download.area": "Area", + "graph_builder.download.average_livestock_load": "Livestock load", + "graph_builder.download.average_wages": "Avg. monthly wage, Col$", + "graph_builder.download.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.download.code": "Code", + "graph_builder.download.cog": "Opportunity gain", + "graph_builder.download.complexity": "Complexity", + "graph_builder.download.distance": "Distance", + "graph_builder.download.eci": "Export complexity", + "graph_builder.download.employment": "Employment", + "graph_builder.download.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.download.export": "Export", + "graph_builder.download.export_num_plants": "Firm number", + "graph_builder.download.export_rca": "Revealed comparative advantage", + "graph_builder.download.export_value": "Exports, USD", + "graph_builder.download.farmtype": "Type of UPA", + "graph_builder.download.gdp_pc_real": "GDP per Capita, Col $", + "graph_builder.download.gdp_real": "GDP, Col $", + "graph_builder.download.import_value": "Imports, USD", + "graph_builder.download.industry": "Industry", + "graph_builder.download.industry_eci": "Industry complexity", + "graph_builder.download.land_harvested": "Land harvested (ha)", + "graph_builder.download.land_sown": "Land sown (ha)", + "graph_builder.download.land_use": "Land Use", + "graph_builder.download.less_than_5": "Less than 5", + "graph_builder.download.livestock": "Livestock", + "graph_builder.download.location": "Location", + "graph_builder.download.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.download.name": "Name", + "graph_builder.download.num_establishments": "Firm number", + "graph_builder.download.num_farms": "Number of Production Units", + "graph_builder.download.num_farms_ag": "Number of UPAs", + "graph_builder.download.num_farms_nonag": "Number of UPNAs", + "graph_builder.download.num_livestock": "Number of livestock", + "graph_builder.download.num_vacancies": "Vacancies", + "graph_builder.download.occupation": "Occupation", + "graph_builder.download.parent": "Parent", + "graph_builder.download.population": "Population", + "graph_builder.download.production_tons": "Production (tons)", + "graph_builder.download.rca": "Revealed comparative advantage", + "graph_builder.download.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.download.wages": "Total wages, Col$", + "graph_builder.download.year": "Year", + "graph_builder.download.yield_index": "Yield Index", + "graph_builder.download.yield_ratio": "Yield (tons/ha)", + "graph_builder.explanation": "Explanation", + "graph_builder.explanation.agproduct.departments.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.hide": "Hide", + "graph_builder.explanation.industry.cities.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.cities.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Shows the composition of vacancies announced in Internet sites and wages offered.", + "graph_builder.explanation.landUse.departments.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.landUse.municipalities.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.livestock.departments.num_farms": "Shows the composition of locations for this livestock type, by number of UPAs. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.livestock.departments.num_livestock": "Shows the composition of locations for this livestock type, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.livestock.municipalities.num_farms": "Shows the composition of locations for this livestock type, by number of UPAs. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.livestock.municipalities.num_livestock": "Shows the composition of locations for this livestock type, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.agproducts.land_harvested": "Shows the composition of agricultural products of this location, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.land_sown": "Shows the composition of agricultural products of this location, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.production_tons": "Shows the composition of agricultural products of this location, by weight. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.yield_ratio": "Shows the productivity of the UPAs of this location, by agricultural product. Source: Agronet (2017), Ministerio de Agricultura. Link. Information about sugarcane: It is important to bear in mind that the information presented in this section for sugarcane corresponds to the yield (ton/ha) of green material and not to sugar. This is because there is a ratio of approximately 10 tons of green material per ton of sugar.", + "graph_builder.explanation.location.farmtypes.num_farms": "Shows the composition of UPAs in this location, by type of UPA. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.industries.employment": "Shows the industry composition of formal empoyment in the department. Source: PILA.", + "graph_builder.explanation.location.industries.scatter": "Dots represent industries. Upon selecting a dot, a display shows the industry name and its revealed comparative advantage in the location. Colors represent industry groups (see the table). The vertical axis is the Industry Complexity Index and the horizontal axis is the Distance from the existing industries, where shorter distances mean that the location has more of the knowhow needed to develop the industry. The size of the dots is proportional to the Opportunity Gain of the industry for the department, namely the potential that the industry offers for the department to acquire new capabilities that may help to develop other industries. The more interesting industries are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.industries.similarity": "The industry technological similarity space (or industry space) shows how similar is the knowhow required by any pair of industries. Each dot represents an industry. Dots connected with a line represent industries that require similar knowhow. Dots colored are industries with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an industry group (see table). Upon selecting a dot, a display shows the industry name, its RCA and its links to other industries. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.location.industries.wages": "Shows the industry composition of total wages paid in the department or city. Source: PILA.", + "graph_builder.explanation.location.landUses.area": "Shows the composition of land uses in this location, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_farms": "Shows the composition of livestock types of this location, by number of UPAs. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_livestock": "Shows the composition of livestock types of this location, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.nonags.num_farms": "Shows the composition of non-agricultural activities performed in this location, by the number of UPAs that perform them. Source: CNA", + "graph_builder.explanation.location.partners.export_value": "Shows the destination country composition of exports of this place, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Shows the countries from which this location imports products, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.products.export_value": "Shows the product composition of exports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.import_value": "Shows the product composition of imports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.scatter": "Dots represent export products. Upon selecting a dot, a display shows the product name and its revealed comparative advantage in the department or city. Colors represent product groups (see the table). The vertical axis is the Product Complexity Index and the horizontal axis is the Distance from the existing exports, where shorter distances mean that the location has more of the knowhow needed to export the product. The dashed line is the average Index of Economic Complexity of the place. The size of the dots is proportional to the Opportunity Gain of the export for the department or city, namely the potential that exporting the product offers for the department or city to acquire new capabilities that may help to export other products. The more interesting export products are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.products.similarity": "The product technological similarity space (or product space) shows how similar is the knowhow required by any pair of export products. Each dot represents an export product. Dots connected with a line represent products that require similar knowhow. Dots colored are products with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an export group (see table). Upon selecting a dot, a display shows the product name, its RCA and its links to other products. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.nonag.departments.num_farms": "Shows the composition of locations that perform this non-agricultural activity, by number of UPAs that perform it. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.nonag.municipalities.num_farms": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.product.cities.export_value": "Shows the composition by city of the product exports. Source: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Shows the composition by city of the product imports. Source: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Shows the composition by department of the product exports. Source: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Shows the composition by department of the product imports. Source: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Shows where Colombia exports this product to, nested by world regions. Source: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Shows where Colombia imports this product from, nested by world regions. Source: DIAN.", + "graph_builder.explanation.show": "Show", + "graph_builder.multiples.show_all": "Show All", + "graph_builder.page_title.agproduct.departments.land_harvested": "What departments harvest this agricultural product?", + "graph_builder.page_title.agproduct.departments.land_sown": "What departments sow this agricultural product?", + "graph_builder.page_title.agproduct.departments.production_tons": "What departments produce this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "What municipalities harvest this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_sown": "What municipalities sow this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.production_tons": "What municipalities produce this agricultural product?", + "graph_builder.page_title.industry.cities.employment": "What cities in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.cities.wages": "What cities in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.departments.employment": "What departments in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.departments.wages": "What departments in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.occupations.num_vacancies": "What occupations does this industry employ?", + "graph_builder.page_title.landUse.departments.area": "Which departments have this type of land use?", + "graph_builder.page_title.landUse.municipalities.area": "Which municipalities have this type of land use?", + "graph_builder.page_title.livestock.departments.num_farms": "How many rural production units raise this livestock species in each department?", + "graph_builder.page_title.livestock.departments.num_livestock": "How many animals of this livestock species are raised in each department?", + "graph_builder.page_title.livestock.municipalities.num_farms": "How many rural production units raise this livestock species in each municipality?", + "graph_builder.page_title.livestock.municipalities.num_livestock": "How many animals of this livestock species are raised in each municipality?", + "graph_builder.page_title.location.agproducts.land_harvested.country": "How many hectares per crop are harvested in Colombia?", + "graph_builder.page_title.location.agproducts.land_harvested.department": "How many hectares per crop are harvested in this department?", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "How many hectares per crop are harvested in this municipality?", + "graph_builder.page_title.location.agproducts.land_sown.country": "How many hectares per crop are sown in Colombia?", + "graph_builder.page_title.location.agproducts.land_sown.department": "How many hectares per crop are sown in this department?", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "How many hectares per crop are sown in this municipality?", + "graph_builder.page_title.location.agproducts.production_tons.country": "How many tons of each crop does Colombia produce?", + "graph_builder.page_title.location.agproducts.production_tons.department": "How many tons of each crop does this department produce?", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "How many tons of each crop does this municipality produce?", + "graph_builder.page_title.location.agproducts.yield_ratio.country": "What is the yield (ton/ha) of crops in Colombia?", + "graph_builder.page_title.location.agproducts.yield_ratio.department": "What is the yield (ton/ha) of crops in this department?", + "graph_builder.page_title.location.agproducts.yield_ratio.municipality": "What is the yield (ton/ha) of crops in this municipality?", + "graph_builder.page_title.location.destination_by_product.export_value.department": "Where does this department export oil to?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "Where does this department import cars from?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "How many agricultural production units (UPAs) and non-agricultural production units (UPNAs) are there in Colombia?", + "graph_builder.page_title.location.farmtypes.num_farms.department": "How many agricultural production units (UPAs) and non-agricultural production units (UPNAs) are there in this department?", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "How many agricultural production units (UPAs) and non-agricultural production units (UPNAs) are there in this municipality?", + "graph_builder.page_title.location.industries.employment.country": "What industries in Colombia employ the most people?", + "graph_builder.page_title.location.industries.employment.department": "What industries in this department employ the most people?", + "graph_builder.page_title.location.industries.employment.msa": "What industries in this city employ the most people?", + "graph_builder.page_title.location.industries.employment.municipality": "What industries in this municipality employ the most people?", + "graph_builder.page_title.location.industries.scatter.country": "What relatively complex industries have the most possibilities for Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "What relatively complex industries have the most possibilities for this department?", + "graph_builder.page_title.location.industries.scatter.msa": "What relatively complex industries have the most possibilities for this city?", + "graph_builder.page_title.location.industries.scatter.municipality": "What relatively complex industries have the most possibilities for this municipality?", + "graph_builder.page_title.location.industries.similarity.country": "Where is Colombia in the industry space?", + "graph_builder.page_title.location.industries.similarity.department": "Where is this department in the industry space?", + "graph_builder.page_title.location.industries.similarity.msa": "Where is this city in the industry space?", + "graph_builder.page_title.location.industries.similarity.municipality": "Where is this municipality in the industry space?", + "graph_builder.page_title.location.industries.wages.country": "What industries in Colombia are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.department": "What industries in this department are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.msa": "What industries in this city are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.municipality": "What industries in this municipality are the largest by total wages?", + "graph_builder.page_title.location.landUses.area.country": "How is the land used in Colombia?", + "graph_builder.page_title.location.landUses.area.department": "How is the land used in this department?", + "graph_builder.page_title.location.landUses.area.municipality": "How is the land used in this municipality?", + "graph_builder.page_title.location.livestock.num_farms.country": "How many rural production units raise each livestock species in Colombia?", + "graph_builder.page_title.location.livestock.num_farms.department": "How many rural production units raise each livestock species in this department?", + "graph_builder.page_title.location.livestock.num_farms.municipality": "How many rural production units raise each livestock species in this municipality?", + "graph_builder.page_title.location.livestock.num_livestock.country": "How many and which livestock species are raised in Colombia?", + "graph_builder.page_title.location.livestock.num_livestock.department": "How many and which livestock species are raised in this department?", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "How many and which livestock species are raised in this municipality?", + "graph_builder.page_title.location.nonags.num_farms.country": "What non-agricultural activities do the rural production units of Colombia perform?", + "graph_builder.page_title.location.nonags.num_farms.department": "What non-agricultural activities do the rural production units of this department perform?", + "graph_builder.page_title.location.nonags.num_farms.municipality": "What non-agricultural activities do the rural production units of this municipality perform?", + "graph_builder.page_title.location.partners.export_value.country": "What countries does Colombia export to?", + "graph_builder.page_title.location.partners.export_value.department": "What countries does this department export to?", + "graph_builder.page_title.location.partners.export_value.msa": "What countries does this city export to?", + "graph_builder.page_title.location.partners.export_value.municipality": "What countries does this municipality export to?", + "graph_builder.page_title.location.partners.import_value.country": "What countries does Colombia import from?", + "graph_builder.page_title.location.partners.import_value.department": "What countries does this department import from?", + "graph_builder.page_title.location.partners.import_value.msa": "What countries does this city import from?", + "graph_builder.page_title.location.partners.import_value.municipality": "What countries does this municipality import from?", + "graph_builder.page_title.location.products.export_value.country": "What products does Colombia export?", + "graph_builder.page_title.location.products.export_value.department": "What products does this department export?", + "graph_builder.page_title.location.products.export_value.msa": "What products does this city export?", + "graph_builder.page_title.location.products.export_value.municipality": "What products does this municipality export?", + "graph_builder.page_title.location.products.import_value.country": "What products does Colombia import?", + "graph_builder.page_title.location.products.import_value.department": "What products does this department import?", + "graph_builder.page_title.location.products.import_value.msa": "What products does this city import?", + "graph_builder.page_title.location.products.import_value.municipality": "What products does this municipality import?", + "graph_builder.page_title.location.products.scatter.country": "What products have the most potential for Colombia?", + "graph_builder.page_title.location.products.scatter.department": "What products have the most potential for this department?", + "graph_builder.page_title.location.products.scatter.msa": "What products have the most potential for this city?", + "graph_builder.page_title.location.products.scatter.municipality": "What products have the most potential for this municipality?", + "graph_builder.page_title.location.products.similarity.country": "Where is Colombia in the product space?", + "graph_builder.page_title.location.products.similarity.department": "Where is this department in the product space?", + "graph_builder.page_title.location.products.similarity.msa": "Where is this city in the product space?", + "graph_builder.page_title.location.products.similarity.municipality": "Where is this municipality in the product space?", + "graph_builder.page_title.nonag.departments.num_farms": "How many rural production units (UPAs and UPNAs) by department have this non-agricultural activity?", + "graph_builder.page_title.nonag.municipalities.num_farms": "How many rural production units (UPAs and UPNAs) by municipality have this non-agricultural activity?", + "graph_builder.page_title.product.cities.export_value": "What cities in Colombia export this product?", + "graph_builder.page_title.product.cities.import_value": "What cities in Colombia import this product?", + "graph_builder.page_title.product.departments.export_value": "What departments in Colombia export this product?", + "graph_builder.page_title.product.departments.import_value": "What departments in Colombia import this product?", + "graph_builder.page_title.product.partners.export_value": "Where does Colombia export this product to?", + "graph_builder.page_title.product.partners.export_value.destination": "Where does {{location}} export {{product}} to?", + "graph_builder.page_title.product.partners.import_value": "Where does Colombia import this product from?", + "graph_builder.page_title.product.partners.import_value.origin": "Where does {{location}} import {{product}} from?", + "graph_builder.questions.label": "Change question", + "graph_builder.recirc.header.industry": "Read the profile for this industry", + "graph_builder.recirc.header.location": "Read the profile for this location", + "graph_builder.recirc.header.product": "Read the profile for this product", + "graph_builder.search.placeholder.agproducts": "Highlight agricultural products in the graph below", + "graph_builder.search.placeholder.cities": "Highlight a city on the graph below", + "graph_builder.search.placeholder.departments": "Highlight a department on the graph below", + "graph_builder.search.placeholder.farmtypes": "Highlight a type of rural production unit in the graph below", + "graph_builder.search.placeholder.industries": "Highlight industries on the graph below", + "graph_builder.search.placeholder.landUses": "Highlight a land use on the graph below", + "graph_builder.search.placeholder.livestock": "Highlight a livestock type in the graph below", + "graph_builder.search.placeholder.locations": "Highlight locations on the graph below", + "graph_builder.search.placeholder.municipalities": "Highlight a municipality on the graph below", + "graph_builder.search.placeholder.nonags": "Highlight a non-agricultural activity on the graph below", + "graph_builder.search.placeholder.occupations": "Highlight an occupation on the graph below", + "graph_builder.search.placeholder.partners": "Highlight trade partners on the graph below", + "graph_builder.search.placeholder.products": "Highlight products on the graph below", + "graph_builder.search.submit": "Highlight", + "graph_builder.settings.change_time": "Change time period", + "graph_builder.settings.close_settings": "Save and close", + "graph_builder.settings.label": "Change Characteristics", + "graph_builder.settings.rca": "Revealed comparative advantage", + "graph_builder.settings.rca.all": "All", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "to", + "graph_builder.settings.year": "Years", + "graph_builder.settings.year.next": "Next", + "graph_builder.settings.year.previous": "Previous", + "graph_builder.table.agproduct": "Agricultural Product", + "graph_builder.table.area": "Area (ha)", + "graph_builder.table.average_livestock_load": "Livestock load", + "graph_builder.table.average_wages": "Avg. monthly wage, Col$", + "graph_builder.table.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.table.code": "Code", + "graph_builder.table.cog": "Opportunity gain", + "graph_builder.table.coi": "Export complexity outlook", + "graph_builder.table.complexity": "Complexity", + "graph_builder.table.country": "Country", + "graph_builder.table.department": "Department", + "graph_builder.table.distance": "Distance", + "graph_builder.table.eci": "Export complexity", + "graph_builder.table.employment": "Employment", + "graph_builder.table.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.table.export": "Export", + "graph_builder.table.export_num_plants": "Firm number", + "graph_builder.table.export_rca": "Revealed comparative advantage", + "graph_builder.table.export_value": "Exports, USD", + "graph_builder.table.farmtype": "Type of UPA", + "graph_builder.table.gdp_pc_real": "GDP per Capita", + "graph_builder.table.gdp_real": "GDP", + "graph_builder.table.import_value": "Imports, USD", + "graph_builder.table.industry": "Industry", + "graph_builder.table.industry_coi": "Industry complexity outlook", + "graph_builder.table.industry_eci": "Industry complexity", + "graph_builder.table.land_harvested": "Land harvested (ha)", + "graph_builder.table.land_sown": "Land sown (ha)", + "graph_builder.table.land_use": "Land Use", + "graph_builder.table.less_than_5": "Less than 5", + "graph_builder.table.livestock": "Livestock", + "graph_builder.table.location": "Location", + "graph_builder.table.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.table.name": "Name", + "graph_builder.table.nonag": "Non-agricultural activities", + "graph_builder.table.num_establishments": "Firm number", + "graph_builder.table.num_farms": "Number of production units", + "graph_builder.table.num_farms_ag": "Number of UPAs", + "graph_builder.table.num_farms_nonag": "Number of UPNAs", + "graph_builder.table.num_livestock": "Number of livestock", + "graph_builder.table.num_vacancies": "Vacancies", + "graph_builder.table.occupation": "Occupation", + "graph_builder.table.parent": "Parent", + "graph_builder.table.parent.country": "Region", + "graph_builder.table.parent.location": "Region", + "graph_builder.table.population": "Population", + "graph_builder.table.production_tons": "Production (tons)", + "graph_builder.table.rca": "Revealed comparative advantage", + "graph_builder.table.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.table.share": "Share", + "graph_builder.table.wages": "Total wages, Col$ (in thousands)", + "graph_builder.table.year": "Year", + "graph_builder.table.yield_index": "Yield Index", + "graph_builder.table.yield_ratio": "Yield (tons/ha)", + "graph_builder.view_more": "View more", + "header.agproduct": "Agricultural products", + "header.destination": "Destination", + "header.destination_by_products": "Destinations by Products", + "header.employment": "Employment", + "header.export": "Exports", + "header.farmtypes.area": "Types of UPAs", + "header.import": "Imports", + "header.index": "Index", + "header.industry": "Industries", + "header.industry_potential": "Potential", + "header.industry_space": "Industry space", + "header.land-use": "Land Use", + "header.landUse": "Land Use", + "header.landUses.area": "Land uses", + "header.land_harvested": "Land Harvested", + "header.land_sown": "Land Sown", + "header.landuse": "Land uses", + "header.livestock": "Livestock", + "header.livestock.num_farms": "Number of UPAs", + "header.livestock.num_livestock": "Number of livestock", + "header.livestock_num_farms": "Number of UPAs", + "header.livestock_num_livestock": "Number of livestock", + "header.location": "Locations", + "header.nonag": "Non-agricultural activities", + "header.occupation": "Occupations", + "header.occupation.available_jobs": "Job openings", + "header.origin": "Origin", + "header.origin_by_products": "Origin by Products", + "header.overview": "Overview", + "header.partner": "Partners", + "header.product": "Products", + "header.product_potential": "Potential", + "header.product_space": "Product space", + "header.production_tons": "Production", + "header.region": "By department", + "header.rural": "Questions: Rural activities", + "header.subregion": "By city", + "header.subsubregion": "By municipality ", + "header.wage": "Total wages", + "header.yield_ratio": "Productivity", + "index.builder_cta": "Build graphs about coffee", + "index.builder_head": "Then dive into the graph builder", + "index.builder_subhead": "Create graphs and maps for your presentations", + "index.complexity_caption": "How good is it? Country growth predictions using economic complexity were more than six times as accurate as conventional metrics, such as the Global Competitiveness Index.", + "index.complexity_cta": "Read more about complexity concepts", + "index.complexity_figure.WEF_name": "Global Competitiveness Index", + "index.complexity_figure.complexity_name": "Complexity ranking", + "index.complexity_figure.head": "Growth explained (percent of 10-year variance)", + "index.complexity_head": "The complexity advantage", + "index.complexity_subhead": "Countries that export complex products, which require a lot of knowledge, grow faster than those that export raw materials. Using the methods of measuring and visualizing economic complexity developed by Harvard University, Datlas helps to explore the production and export possibilities of every city and department in Colombia.", + "index.country_profile": "Read the profile for Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.farmandland_head": "Learn about Rural Activities", + "index.future_head": "Mapping the future", + "index.future_subhead": "Scatterplots and network diagrams help find the untapped markets best suited to a city or a department.", + "index.graphbuilder.id": "87", + "index.header_h1": "The Colombian Atlas of Economic Complexity", + "index.header_head": "You haven\u2019t seen Colombia like this before", + "index.header_subhead": "Visualize the possibilities for industries, exports and locations across Colombia.", + "index.industry_head": "Learn about an industry", + "index.industry_q1": "Where in Colombia does the chemical industry employ the most people?", + "index.industry_q1.id": "461", + "index.industry_q2": "What occupations are demanded by the chemical industry?", + "index.industry_q2.id": "461", + "index.landuse_q1": "How much land do departments use for crops?", + "index.livestock_q1": "What kinds of livestock UPAs does Colombia have?", + "index.location_head": "Learn about a location", + "index.location_q1": "What industries in Bogot\u00e1 Met employ the most people?", + "index.location_q1.id": "41", + "index.location_q2": "What products have the most potential in Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "See all questions", + "index.present_head": "Charting the present", + "index.present_subhead": "Use our treemaps, charts and maps to break down your department, city or municipality's exports, formal employment or rural activities.", + "index.product_head": "Learn about a product", + "index.product_q1": "What places in Colombia export computers?", + "index.product_q1.id": "1143", + "index.product_q2": "What places in Colombia import computers?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Read the profile for Antioquia", + "index.profiles_head": "Start with our profiles", + "index.profiles_subhead": "Just the essentials, presented as a one-page summary", + "index.questions_head": "New 2016 update!
We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Research featured in", + "industry.show.avg_wages": "Average wages ({{year}})", + "industry.show.employment": "Employment ({{year}})", + "industry.show.employment_and_wages": "Formal employment and wages", + "industry.show.employment_growth": "Employment growth rate ({{yearRange}})", + "industry.show.industries": "Industries", + "industry.show.industry_composition": "Industry composition, {{year}}", + "industry.show.occupation": "Occupations", + "industry.show.occupation_demand": "Occupations most demanded by this industry, {{year}}", + "industry.show.value": "Value", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "department", + "location.model.msa": "city", + "location.model.municipality": "municipality", + "location.show.ag_farmsize": "Avg. size of UPAs (ha)", + "location.show.all_departments": "Compared to the other departments", + "location.show.all_regions": "Compared to the other locations", + "location.show.average_livestock_load": "Livestock Load ", + "location.show.bullet.gdp_grow_rate": "The GDP growth rate in the period {{yearRange}} was {{gdpGrowth}}, compared to 5.3% for Colombia", + "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$15.1 million for Colombia in 2014.", + "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 46.3 million in Colombia as a whole in 2014.", + "location.show.eci": "Export complexity", + "location.show.employment": "Employment ({{lastYear}})", + "location.show.employment_and_wages": "Formal employment and wages", + "location.show.export_possiblities": "Export possiblities", + "location.show.export_possiblities.footer": "Some exports make not be viable due to local factors not considered by the technological similarity approach.", + "location.show.export_possiblities.intro": "We\u2019ve found that countries which export complex products grow faster than those which export simple products. Using the product space presented above, we\u2019ve highlighted \u00a0high potential products for {{name}}, ranked by which have the highest combination of opportunity and complexity.", + "location.show.exports": "Exports ({{year}})", + "location.show.exports_and_imports": "Exports and imports", + "location.show.gdp": "GDP", + "location.show.gdp_pc": "GDP per Capita", + "location.show.growth_annual": "Growth rate ({{yearRange}})", + "location.show.imports": "Imports ({{year}})", + "location.show.nonag_farmsize": "Avg. size of UPNAs (ha)", + "location.show.overview": "Overview", + "location.show.population": "Population", + "location.show.subregion.exports": "Export Composition by Municipality ({{year}})", + "location.show.subregion.imports": "Import Composition by Municipality ({{year}})", + "location.show.subregion.title": "Export and Import by Municipality", + "location.show.total_wages": "Total wages ({{lastYear}})", + "location.show.value": "Value", + "location.show.yield_index": "Agricultural Yield Index", + "pageheader.about": "About", + "pageheader.alternative_title": "Atlas of Economic Complexity", + "pageheader.brand_slogan": "You haven't seen Colombia like this before", + "pageheader.download": "About the Data", + "pageheader.graph_builder_link": "Graph Builder", + "pageheader.profile_link": "Profile", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Search", + "pageheader.search_placeholder": "Search for a location, industry, product or rural activity", + "pageheader.search_placeholder.industry": "Search for an industry", + "pageheader.search_placeholder.location": "Search for a location", + "pageheader.search_placeholder.product": "Search for a product", + "pageheader.search_placeholder.rural": "Search for rural activities", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explanation", + "rankings.intro.p": "Compare departments and cities across Colombia.", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Cities", + "rankings.section.departments": "Departments", + "rankings.table-title": "Rank", + "search.didnt_find": "Didn\u2019t find what you were looking for? Let us know: Datlascolombia@bancoldex.com", + "search.header": "results", + "search.intro": "Search for the location, product, industry or occupation that you\u2019re interested in", + "search.level.4digit": "HS (1992) four-digit", + "search.level.class": "ISIC four-digit", + "search.level.country": "Country", + "search.level.department": "Department", + "search.level.division": "ISIC two-digit", + "search.level.level1": "", + "search.level.level2": "", + "search.level.level3": "", + "search.level.msa": "City", + "search.level.municipality": "Municipality", + "search.level.parent.4digit": "HS (1992) two-digit", + "search.level.parent.class": "ISIC two-digit", + "search.level.parent.country": "Region", + "search.placeholder": "Type here to search", + "search.results_agproducts": "Agricultural Products", + "search.results_industries": "Industries", + "search.results_landuses": "Land Uses", + "search.results_livestock": "Livestock", + "search.results_locations": "Locations", + "search.results_nonag": "Non-agricultural activities", + "search.results_products": "Products", + "search.results_rural": "Rural activities", + "table.export_data": "Export Data", + "thousands_delimiter": "," +}; diff --git a/app/locales/en-col/translationsold.js b/app/locales/en-col/translationsold.js new file mode 100644 index 00000000..7c24733a --- /dev/null +++ b/app/locales/en-col/translationsold.js @@ -0,0 +1,568 @@ +export default { + "abbr_billion": "B", + "abbr_million": "M", + "abbr_thousand": "K", + "abbr_trillion": "T", + "about.downloads.explanation.p1": "Download the document explaining how each of the complexity variables of Datlas is computed.", + "about.downloads.explanation.title": "Method of calculation of complexity variables", + "about.downloads.locations": "Lists of departments, cities (including metropolitan areas) and municipalities", + "about.glossary": "

See page \"About the data\" for further information about sources, computational methods of the complexity variables and downloadable databases.

Cities

A city is a metropolitan area or a municipality with more than 50,000 inhabitants, 75% of whom reside in the main urban location (cabecera). There are 62 cities (19 metropolitan areas comprising 115 municipalities, plus 43 other cities of just one municipality). The concept of city is relevant because Datlas presents complexity indicators by department and city, but not by municipality.

Complexity

Complexity is the amount and sophistication of knowhow required to produce something. The concept of complexity is central to Datlas because productivity and growth everywhere depend on firms to successfully produce and export goods and services that require skills and knowledge that are diverse and unique. Complexity can be measured by location, by industry or by export product.

Complexity Outlook

Measures the potential of a location to reach higher complexity levels. The measure accounts for the level of complexity of the industries (or exports) along with the distance of how close the productive capabilities that these industries require are to its current industries (or exports). More specifically, it measures the likelihood of different industries (or exports) appearing and the value of their added complexity. Higher outlook values indicate \u201ccloser distance\u201d to more, and more complex, industries (or exports).

Industry complexity outlook values are computed for departments and cities, not for the rest of municipalities. Export complexity outlook values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

DANE

DANE is the National Statistical Office. It is the source of all data on GDP and population used by Datlas.

DIAN

DIAN is the National Tax and Customs Authority. It is the source of all data on exports and imports by department and municipality in Datlas.

Distance

A measure of a location\u2019s ability to enter a specific industry or export, as determined by its current productive capabilities. Also known as a capability distance, the measure accounts for the similarity between the capabilities required by an industry or export and the capabilities already present in a location\u2019s industries or exports. Where a new industry or export requires many of the same capabilities already present in a location\u2019s industries or exports, the product is considered \u201ccloser\u201d or of a shorter \u201cdistance\u201d to acquire the missing capabilities to produce it. New industries or exports of a further distance require larger sets of productive capabilities that do not exist in the location and are therefore riskier ventures or less likely to be sustained. Thus, distance reflects the proportion of the productive knowledge necessary for an industry or export that a location does not have. This is measured by the proximity between industries or exports, or the probability that two industries or exports will both be present in a location, as embodied by the industry space and product space, respectively.

Industry distance values are computed for departments and cities, but not for the rest of municipalities. Export distance values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Diversity

A measure of how many different types of products a place is able to produce. The production of a good requires a specific set of know-how; therefore, a country\u2019s total diversity is another way of expressing the amount of collective know-how that a place has.

Economic Complexity Index (ECI)

A measure of the sophistication of the productive capabilities of a location based on the diversity and ubiquity of its industries or exports. A location with high complexity produces or exports goods and services that few other locations produce. Highly complex locations tend to be more productive and generate higher wages and incomes. Countries with export baskets more sophisticated than what is expected for their income level (such as China) tend to grow faster than those where the opposite is true (such as Greece).

Industry ECI values are computed for departments and cities, but not for the rest of municipalities. Export ECI values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Formal employment and wages, and formal employment rate

Formal employment is defined as employment covered by the health social security system and/or the pension system. The self-employed are not included. Formal wages are those reported by firms to that aim. Formal employment reported is the number of formal employees in an average month. Formality rate is defined as formal employment divided by population older than 15. Employment and wage data are taken from PILA. Population data comes from DANE.

Industry Complexity Index (ICI)

A measure of the amount of productive capabilities that an industry requires to operate. The ICI and the Product Complexity Index (PCI) are closely related, but are measured through independent datasets and classification systems as the PCI is computed only for internationally tradable goods, while the ICI is calculated for all industries that generate formal employment, including the public sector. Industries are complex when they require a sophisticated level of productive knowledge, such as many financial services and pharmaceutical industries, with many individuals with distinct specialized knowledge interacting in a large organization. Complexity of the industry is measured by calculating the average diversity of locations that hold the industry and the average ubiquity of the industries that those locations hold. The formal employment data required for these calculations comes from the PILA dataset held by the Ministry of Health.

Industry classification system

Colombia\u2019s industry classification system is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). Datlas shows industry information at two- and four-digit level. All industry data come from PILA. Following national accounting conventions, workers hired by temporary employment firms are classified in the labor recruitment industry (7491), not in the industry of the firm where they physically work.

Industry technological similarity space (or industry space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between industries. Each dot represents an industry and each link between a pair of industries indicates that they require similar productive capabilities to operate. Colored dots are industries with revealed comparative advantage larger than one. When an industry is selected, the map shows the industries that require similar productive capabilities. An industry with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing industries share to untapped, complex industries determines the complexity outlook of the location. The Colombian industry similarity space is based on formal employment data by industry and municipality from the PILA dataset of the Ministry of Health.

Metropolitan area

A metropolitan area is a combination of two or more municipalities that are connected through relatively large commuting flows (irrespective of their size or contiguity). A municipality must send at least 10% of its workers as daily commuters to the rest of the metropolitan area municipalities to be included.

Based on this definition there are 19 metropolitan areas in Colombia, which comprise 115 municipalities. The resulting metro areas, which are distinct from official measures, are computed with the methodology of G. Duranton (2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Occupations

Occupations are classified according to the Occupational Information Network Numerical Index (ONET). All data on occupations (wages offered by occupation, occupational structure by industry, and education level required by occupation) come from job vacancy announcements placed by firms in public and private Internet job sites during 2014. The data were processed by Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).

Opportunity gain

Measures how much a location could benefit by developing a particular industry (or export). Also known also as \u201cstrategic value,\u201d the measure accounts for the distances to all other industries (or exports) that a location does not currently produce with revealed comparative advantage larger than one and their respective complexities. Opportunity gain quantifies how a new industry (or export) can open up links to more, and more complex, products. Thus, the measure calculates the value of an industry (or export) based on the paths it opens to industrial expansion into more complex sectors.

Industry opportunity gain values are computed for departments and cities, but not for the rest of municipalities. Export opportunity gain values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

PILA

PILA is the Integrated Report of Social Security Contributions, managed by the Ministry of Health. It is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry.

Product Complexity Index (PCI)

Measures the amount of productive capabilities required to manufacture a product. Complex exports, which include many chemical and machinery products, require a sophisticated level, and diverse base, of productive knowledge, with many individuals with distinct specialized knowledge interacting in a large organization. This contrasts with low complexity exports, like coffee, which require much less basic productive knowledge that can be found in a family-run business. UN Comtrade data are used to compute the complexity of export products.

Product technological similarity space (or product space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between export products. Each dot represents a product and each link between a pair of products indicates that the two products require similar capabilities in their production. Colored dots are exports with revealed comparative advantage larger than one. When a product is selected, the map shows the products that require similar productive capabilities. A product with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing products share to complex products that a location does not currently produce determines the complexity outlook of its exports.

The shape of the space is based on international trade data for 192 countries over 50 years. See The International Atlas of Economic Complexity.

Revealed Comparative Advantage (RCA)

Measures the relative size of an industry or an export product in a location. RCA is not a measure of productive efficiency or competitiveness, but just a \u201clocation quotient\u201d, as is often referred to. RCA is computed as the ratio between an industry\u2019s share of total formal employment in a location and the share of that industry\u2019s total formal employment in Colombia as a whole. For instance, if the chemical industry generates10% of a city\u2019s employment, while it generates only 1% of total employment in Colombia, the RCA of the industry in the city is 10. For exports, RCA is the ratio between the share of the export in the export basket of the location and its share in total world trade. If this ratio is larger than 1, the location is said to have revealed comparative advantage in the industry or export. For instance, if a department\u2019s coffee exports are 30% of its exports but coffee accounts for just 0.3% of world trade, the department\u2019s RCA in coffee is 100.

Ubiquity

A measure of the number of places that are able to make a product.

", + "about.glossary_name": "Glossary", + "about.project_description.cid.header": "CID and the Growth Lab", + "about.project_description.cid.p1": "This project was developed by the Center for International Development at Harvard University, under the leadership of Professor Ricardo Hausmann.", + "about.project_description.cid.p2": "The Center for International Development (CID) at Harvard University works to advance the understanding of development challenges and offer viable, inclusive solutions to problems of global poverty. The Growth Lab is one of CID\u2019s core research programs.", + "about.project_description.contact.header": "Contact information", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex is the entrepreneurial development bank of Colombia. It is committed to developing financial and non-financial instruments geared to enhance the competitiveness, productivity, growth and internationalization of Colombian enterprises. Leveraging on its unique relational equity and market position, Banc\u00f3ldex manages financial assets, develops access solutions to financing and deploys innovative capital solutions, to foster and accelerate company growth. Besides offering traditional loans, Banc\u00f3ldex has been appointed to implement several development program such as iNNpulsa Colombia, iNNpulsa Mipyme, Banca de las Oportunidades, and the Productive Transformation Program, all of them, in an effort to consolidate an integrated offer to promote Colombian business environment and overall competitiveness. Datlas elaborates on the work that Banc\u00f3ldex has been undertaking through its Productive Transformation Program and INNpulsa Colombia initiatives.", + "about.project_description.founder2.header": "Mario Santo Domingo Foundation", + "about.project_description.founder2.p": "Created in 1953, the Mario Santo Domingo Foundation (FMSD) is a non-profit organization dedicated to implementing community development programs in Colombia. FMSD decided to concentrate its main efforts in the construction of affordable housing within a Community Development Model, named Integral Development of Sustainable Communities (DINCS in its Spanish initials) and designed by the FMSD as a response to the large housing deficit in Colombia. Through this program, the FMSD delivers social support for families, and social infrastructure and urban development for the less privileged. FMSD also supports entrepreneurs in the Northern region of Colombia and in Bogot\u00e1 through its Microfinance Unit which provides training and financial services such as microcredit. More than 130,000 entrepreneurs have received loans from the Foundation since its launch in 1984. The FMSD works also to identify alliances and synergies between the public and private sectors in critical social development areas such as early childhood, environmental sustainability, disaster attention, education and health.", + "about.project_description.founders.header": "Founding Partners", + "about.project_description.founders.p": "This project is funded by Banc\u00f3ldex and Fundaci\u00f3n Mario Santo Domingo ", + "about.project_description.github": "See our code", + "about.project_description.intro.p1": "In Colombia, income gaps between regions are huge and have been growing: new job opportunities are increasingly concentrated in the metropolitan areas of Bogot\u00e1, Medell\u00edn and Cali, as well as a few places where oil and other minerals are extracted. The average income of residents of Bogot\u00e1 is four times that of Colombians living in the 12 poorest departments", + "about.project_description.intro.p2": "Datlas is a diagnostic tool that firms, investors and policymakers can use to improve the productivity of departments, cities and municipalities. It maps the geographical distribution of Colombia\u2019s productive activities and employment by department, metropolitan area and municipality, and identifies exports and industries of potential to increase economic complexity and accelerate growth.", + "about.project_description.intro.p3": "Economic complexity is a measure of the amount of productive capabilities, or knowhow, that a country or a city has. Products are vehicles for knowledge. To make a shirt, one must design it, produce the fabric, cut it, sew it, pack it, market it and distribute it. For a country to produce shirts, it needs people who have expertise in each of these areas. Each of these tasks involves many more capabilities than any one person can master. Only by combining know-how from different people can any one product be made. The road to economic development involves increasing what a society knows how to do. Countries with more productive capabilities can make a greater diversity of products. Economic growth occurs when countries develop the capabilities and productive knowledge to produce more, and more complex, products.", + "about.project_description.intro.p4": "This conceptual approach, which has been applied at the international level in The Atlas of Economic Complexity, is now used in this online tool to investigate export and industry possibilities at the sub-national level in Colombia.", + "about.project_description.letter.header": "Sign up for our Newsletter", + "about.project_description.letter.p": "Sign up for CID\u2019s Research Newsletter to keep up-to-date with related breakthrough research and practical tools, including updates to this site http://www.hks.harvard.edu/centers/cid/news-events/subscribe ", + "about.project_description.team.header": "Academic and Technical Team", + "about.project_description.team.p": "Academic team at Harvard\u2019s CID: Ricardo Hausmann (director), Eduardo Lora (coordinator), Tim Cheston, Andr\u00e9s G\u00f3mez-Li\u00e9vano, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery and Juan T\u00e9llez. Programming and visualization team at Harvard\u2019s CID: Greg Shapiro (coordinator), Mali Akmanalp, Katy Harris, Quinn Lee, Romain Vuillemot, and Gus Wezerek. Statistical advisor in Colombia: Marcela Eslava (Universidad de los Andes). Compilation and processing of job vacancies data in Colombia: Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).", + "about.project_description_name": "About", + "census_year": "2014", + "country.show.ag_farmsize": "45.99 ha", + "country.show.dotplot-column": "Departments Across Colombia", + "country.show.eci": "0.037", + "country.show.economic_structure": "Economic Structure", + "country.show.economic_structure.copy.p1": "With a population of 48.1 million (as of May 2015), Colombia is the third largest country in Latin America. Its total GDP in 2014 was Col$756.1 trillion, or US$377.9 billion at the average exchange rate of 2014 (1 US dollar = 2000.6 Colombian pesos). In 2014, income per capita reached Col$15,864,953 or US$7,930. Yearly economic growth since 2008 has averaged 4.3% (or 3.1% in per capita terms).", + "country.show.economic_structure.copy.p2": "Business and financial services contribute 18.8% of GDP, making it the largest industry, followed by governmental, communal and personal services (16.5%) and manufacturing activities (11.2%). Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 24.7, 13.1 and 9.2% to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", + "country.show.employment_wage_occupation": "Formal Employment, Occupations and Wages", + "country.show.employment_wage_occupation.copy.p1": "In 2014, approximately 21.6 million Colombians were occupied in either a formal or an informal job, increasing slightly over 2013, at 21.1 million. The registries of the PILA, which cover the universe of workers who make contributions to the social security system, indicate that 13.3 million workers were occupied for some period in a formal job in 2013. Taking into account the number of months occupied, the effective number of year-round workers in the formal sector in 2013 was 6.7 million. Bogot\u00e1 DC, Antioquia and Valle del Cauca generate, respectively 32.7, 16.7, and 10.7% of (effective) formal employment.", + "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2014.", + "country.show.export_complexity_possibilities": "Export Complexity and Possibilities", + "country.show.export_complexity_possibilities.copy.p1": "The concept of export complexity is similar to that of industry complexity introduced above. It has been found that countries that export products that are relatively complex for their level of economic development tend to grow faster than countries that export relatively simple products. Based on the complexity of its export basket in 2013, Colombia ranks 53rd among 124 countries and is predicted to grow at an annual rate of 3.3% in the period 2013-2023 based on its economic complexity.", + "country.show.export_complexity_possibilities.copy.p2": "The \u2018Product Technological Similarity Space\u2019 (or Product Space) shown below is a graphical network representation of technological similarities across all export products, and is based on international export patterns. Each dot or node represents a product; nodes connected by lines require similar capabilities. More connected products are clustered towards the middle of the network, implying that the capabilities they use can be deployed in the production of many other products.", + "country.show.export_complexity_possibilities.copy.p3": "The highlighted nodes represent the products that Colombia exports in relatively large amounts (more precisely, with revealed comparative advantage higher than one, see the Glossary). Colors represent product groupings (which match the colors used in the industry technological space shown above). The figure further below and the accompanying table show what export products offer the best possibilities for Colombia, given the capabilities the country already has and how \u2018distant\u2019 are those capabilities to the ones needed for each product.", + "country.show.exports": "Exports", + "country.show.exports.copy.p1": "Colombia exported US$54.8 billion in 2014, down from $58.8 billion in 2013 and $60.1 billion in 2012. Its main export partners are the United States, Venezuela, Ecuador and Peru. In 2014, mining products (of which oil, coal and nickel are the largest items) comprised 59.3% of total merchandise exports, manufactured goods contributed 35.6%, and agricultural products totaled 4.6% of exports. The following graphs provide further details.", + "country.show.exports_composition_by_department": "Export Composition by Department ({{year}})", + "country.show.exports_composition_by_products": "Export Composition by Product ({{year}})", + "country.show.gdp": "Col $756,152 T", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Industry Complexity", + "country.show.industry_complex.copy.p1": "Industry complexity is a measure of the range of capabilities, skills or know-how required by an industry. Industries such as chemicals and machinery are said to be highly complex, because they require a sophisticated level of productive knowledge likely to be present only in large organizations where a number of highly specialized individuals interact. Conversely, industries such as retail trade or restaurants require only a basic level of know-how which may be found at a family-run business. More complex industries contribute to raising productivity and income per- capita. Departments and cities with more complex industries have a more diversified industrial base and tend to create more formal employment.", + "country.show.industry_complex.copy.p2": "The 'IndustryTechnological Similarity Space\u2019 (or Industry Space) shown below is a graphical representation of the similarity between the capabilities and know-how required by pairs of industries. Each dot or node represents an industry; nodes connected by lines require similar capabilities. More connected industries use capabilities that can be deployed in many other industries. Colors represent industry groupings.", + "country.show.industry_space": "Industry Space", + "country.show.nonag_farmsize": "4.53 ha", + "country.show.occupation.num_vac": "Total advertised vacancies (2014)", + "country.show.population": "48.1 million", + "country.show.product_space": "Product Space", + "country.show.total": "Total", + "ctas.csv": "CSV", + "ctas.download": "Download this data", + "ctas.embed": "Embed", + "ctas.excel": "Excel", + "ctas.export": "Export", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Share", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ".", + "downloads.cta_download": "Download", + "downloads.cta_na": "Not available", + "downloads.head": "About the Data", + "downloads.industry_copy": "PILA (the Integrated Report of Social Security Contributions), managed by the Ministry of Health) is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry. Colombia\u2019s industry classification is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). The list of industries can be found in the downloadable databases for industries. The list of industries in the ISIC which are not included in the industry space (for reasons explained in \"Calculation Methods\") can be downloaded here.", + "downloads.industry_head": "Industry data (PILA)", + "downloads.industry_row_1": "Employment, wages, number of firms and complexity indicators ({{yearRange}})", + "downloads.list_of_cities.header": "Lists of departments, cities and municipalities", + "downloads.map.cell": "Map boundary and geo data is from GeoFabrik.de, based on OpenStreetMap data", + "downloads.map.header": "Map Data", + "downloads.occupations_copy": "All data on occupations (wages offered by occupation and industry, and occupational structure by industry) come from job vacancy announcements placed by firms in public and private Internet job sites. Occupations are classified according to the Occupational Information Network Numerical Index (ONET). The data were processed by Jeisson Arley C\u00e1rdenas Rubio, researcher of Universidad del Rosario, Bogot\u00e1, and Jaime Mauricio Monta\u00f1a Doncel, Masters student at the Paris School of Economics.", + "downloads.occupations_head": "Occupations data", + "downloads.occupations_row_1": "Job vacancies and wages offered (2014)", + "downloads.other_copy": "DANE (the National Statistical Office) is the source of all data on GDP and population.", + "downloads.other_head": "Other data (DANE)", + "downloads.other_row_1": "GDP and demographic variables", + "downloads.thead_departments": "Departments", + "downloads.thead_met": "Cities", + "downloads.thead_muni": "Municipalities", + "downloads.thead_national": "National", + "downloads.trade_copy": "The source of all data on exports and imports by department and municipality is DIAN\u2019s Customs Data (DIAN is the National Tax and Customs Authority). Colombian Customs uses the product classification NANDINA, which matches the Harmonized System (HS) classification at the 6-digit level. We then standardize that to HS 1992 in order to fix any version inconsistencies across the years in order to be able to view the data over time. The list of products can be found in the downloadable databases for exports and imports.

The origin of an export is established in two stages. First, the department of origin is defined as the last place of processing, assembly or packaging, according with DIAN. Then, export values are distributed among municipalities according with the composition of employment of the exporting firm based on PILA (for firms without this information the value is assigned to the capital of department). In the case of petroleum oil (2709) and gas (2711), total export values were distributed by origin according to production by municipality (sources: Hydrocarbons National Agency and Colombian Petroleum Association), and in the case of oil refined products (2710), according to value added by municipality (industries 2231, 2322 y 2320 SIIC revision 3, Annual Manufacturing Survey, DANE).

\u00a0

Export totals by product may not correspond to official data because the following are excluded: (a) exports lacking information on the industry of the exporter and/or the department or municipality of origin, and (b) exports for which DIAN reports free zones as the place of destination; while the following are included: (c) exports from free zones, which DIAN does not include in those export totals.

In a similar fashion, import totals by product may not correspond to official data because the following are excluded: (a) imports lacking information on the department or municipality of destination, and (b) imports for which DIAN reports free zones as the place of origin; while the following are included: (c) imports done by free zones, which DIAN does not include in those import totals.

A file that describes the correspondence between the HS version used by DIAN and HS 1992 can be found here.

Included here is a file with the list of products in the Harmonized System that are not represented in the product space (for reasons explained in \"Calculation Methods\").", + "downloads.trade_head": "Trade data (DIAN)", + "downloads.trade_row_1": "Exports, imports and export complexity indicators ({{yearRange}})", + "downloads.trade_row_2": "Exports and imports with country of destination and origin ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Products", + "general.geo": "Geographic map", + "general.glossary": "Glossary", + "general.industries": "Industries", + "general.industry": "industry", + "general.location": "location", + "general.locations": "Locations", + "general.multiples": "Area charts", + "general.occupation": "occupation", + "general.occupations": "Occupations", + "general.product": "product", + "general.scatter": "Scatterplot", + "general.similarity": "Industry Space", + "general.total": "Total", + "general.treemap": "Treemap", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glossary", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.industry.cities.employment": "Total employment", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.cities.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.departments.employment": "Total employment", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.departments.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.locations.employment": "Total employment", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.locations.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total advertised vacancies", + "graph_builder.builder_mod_header.landUse.departments.area": "Total Area", + "graph_builder.builder_mod_header.landUse.municipalities.area": "Total Area ", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "Land harvested (hectares)", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "Land sown (hectares)", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "Number of farms", + "graph_builder.builder_mod_header.location.industries.employment": "Total employment", + "graph_builder.builder_mod_header.location.industries.scatter": "Complexity,distance and opportunity gain of potential industries", + "graph_builder.builder_mod_header.location.industries.similarity": "Industries with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.location.industries.wages": "Total wages", + "graph_builder.builder_mod_header.location.landUses.area": "Total Area ", + "graph_builder.builder_mod_header.location.livestock.num_farms": "Number of livestock farms", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.location.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.location.partners.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.export_value": "Total exports", + "graph_builder.builder_mod_header.location.products.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.scatter": "Complexity, distance and opportunity gain of potential export products", + "graph_builder.builder_mod_header.location.products.similarity": "Export products with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.product.cities.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.cities.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.departments.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.departments.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.product.partners.import_value": "Total imports", + "graph_builder.builder_nav.header": "More graphs for this {{entity}}", + "graph_builder.builder_nav.intro": "Select a question to see the corresponding graph. If the question has missing parameters ({{icon}}) , you\u2019ll fill those in when you click.", + "graph_builder.builder_questions.city": "Questions: Cities", + "graph_builder.builder_questions.department": "Questions: Departments", + "graph_builder.builder_questions.employment": "Questions: Employment", + "graph_builder.builder_questions.export": "Questions: Exports", + "graph_builder.builder_questions.import": "Questions: Imports", + "graph_builder.builder_questions.industry": "Questions: Industries", + "graph_builder.builder_questions.landUse": "Questions: Land Use ", + "graph_builder.builder_questions.location": "Questions: Locations", + "graph_builder.builder_questions.occupation": "Questions: Occupations", + "graph_builder.builder_questions.partner": "Questions: Partners", + "graph_builder.builder_questions.product": "Questions: Products", + "graph_builder.builder_questions.wage": "Questions: Total Wages", + "graph_builder.change_graph.geo_description": "Map the data", + "graph_builder.change_graph.label": "Change graph", + "graph_builder.change_graph.multiples_description": "Compare growth over time", + "graph_builder.change_graph.scatter_description": "Plot complexity and distance", + "graph_builder.change_graph.similarity_description": "Show revealed comparative advantages", + "graph_builder.change_graph.treemap_description": "See composition at different levels", + "graph_builder.change_graph.unavailable": "Graph is unavailable for this question", + "graph_builder.download.agproduct": "Agricultural Product", + "graph_builder.download.area": "Area", + "graph_builder.download.average_wages": "Avg. monthly wage, Col$", + "graph_builder.download.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.download.code": "Code", + "graph_builder.download.cog": "Opportunity gain", + "graph_builder.download.complexity": "Complexity", + "graph_builder.download.distance": "Distance", + "graph_builder.download.eci": "Export complexity", + "graph_builder.download.employment": "Employment", + "graph_builder.download.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.download.export": "Export", + "graph_builder.download.export_num_plants": "Firm number", + "graph_builder.download.export_rca": "Revealed comparative advantage", + "graph_builder.download.export_value": "Exports, USD", + "graph_builder.download.farmtype": "Farm Type", + "graph_builder.download.gdp_pc_real": "GDP per Capita, Col $", + "graph_builder.download.gdp_real": "GDP, Col $", + "graph_builder.download.import_value": "Imports, USD", + "graph_builder.download.industry": "Industry", + "graph_builder.download.industry_eci": "Industry complexity", + "graph_builder.download.land_harvested": "Land harvested (ha)", + "graph_builder.download.land_sown": "Land sown (ha)", + "graph_builder.download.land_use": "Land Use", + "graph_builder.download.less_than_5": "Less than 5", + "graph_builder.download.livestock": "Livestock", + "graph_builder.download.location": "Location", + "graph_builder.download.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.download.name": "Name", + "graph_builder.download.num_establishments": "Firm number", + "graph_builder.download.num_farms": "Number of farms", + "graph_builder.download.num_livestock": "Number of livestock", + "graph_builder.download.num_vacancies": "Vacancies", + "graph_builder.download.occupation": "Occupation", + "graph_builder.download.parent": "Parent", + "graph_builder.download.population": "Population", + "graph_builder.download.production_tons": "Production (tons)", + "graph_builder.download.rca": "Revealed comparative advantage", + "graph_builder.download.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.download.wages": "Total wages, Col$", + "graph_builder.download.year": "Year", + "graph_builder.download.yield_index": "Yield Index", + "graph_builder.download.yield_ratio": "Yield (tons/ha)", + "graph_builder.explanation": "Explanation", + "graph_builder.explanation.agproduct.departments.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.hide": "Hide", + "graph_builder.explanation.industry.cities.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.cities.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Shows the composition of vacancies announced in Internet sites and wages offered.", + "graph_builder.explanation.landUse.departments.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.landUse.municipalities.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.agproducts.land_harvested": "Shows the composition of agricultural products of this location, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.land_sown": "Shows the composition of agricultural products of this location, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.production_tons": "Shows the composition of agricultural products of this location, by weight. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.farmtypes.num_farms": "Shows the composition of farms in this location, by type of farm. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.industries.employment": "Shows the industry composition of formal empoyment in the department. Source: PILA.", + "graph_builder.explanation.location.industries.scatter": "Dots represent industries. Upon selecting a dot, a display shows the industry name and its revealed comparative advantage in the location. Colors represent industry groups (see the table). The vertical axis is the Industry Complexity Index and the horizontal axis is the Distance from the existing industries, where shorter distances mean that the location has more of the knowhow needed to develop the industry. The size of the dots is proportional to the Opportunity Gain of the industry for the department, namely the potential that the industry offers for the department to acquire new capabilities that may help to develop other industries. The more interesting industries are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.industries.similarity": "The industry technological similarity space (or industry space) shows how similar is the knowhow required by any pair of industries. Each dot represents an industry. Dots connected with a line represent industries that require similar knowhow. Dots colored are industries with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an industry group (see table). Upon selecting a dot, a display shows the industry name, its RCA and its links to other industries. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.location.industries.wages": "Shows the industry composition of total wages paid in the department or city. Source: PILA.", + "graph_builder.explanation.location.landUses.area": "Shows the composition of land uses in this location, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_farms": "Shows the composition of livestock types of this location, by number of farms. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_livestock": "Shows the composition of livestock types of this location, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.partners.export_value": "Shows the destination country composition of exports of this place, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Shows the countries from which this location imports products, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.products.export_value": "Shows the product composition of exports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.import_value": "Shows the product composition of imports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.scatter": "Dots represent export products. Upon selecting a dot, a display shows the product name and its revealed comparative advantage in the department or city. Colors represent product groups (see the table). The vertical axis is the Product Complexity Index and the horizontal axis is the Distance from the existing exports, where shorter distances mean that the location has more of the knowhow needed to export the product. The dashed line is the average Index of Economic Complexity of the place. The size of the dots is proportional to the Opportunity Gain of the export for the department or city, namely the potential that exporting the product offers for the department or city to acquire new capabilities that may help to export other products. The more interesting export products are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.products.similarity": "The product technological similarity space (or product space) shows how similar is the knowhow required by any pair of export products. Each dot represents an export product. Dots connected with a line represent products that require similar knowhow. Dots colored are products with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an export group (see table). Upon selecting a dot, a display shows the product name, its RCA and its links to other products. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.product.cities.export_value": "Shows the composition by city of the product exports. Source: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Shows the composition by city of the product imports. Source: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Shows the composition by department of the product exports. Source: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Shows the composition by department of the product imports. Source: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Shows where Colombia exports this product to, nested by world regions. Source: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Shows where Colombia imports this product from, nested by world regions. Source: DIAN.", + "graph_builder.explanation.show": "Show", + "graph_builder.multiples.show_all": "Show All", + "graph_builder.page_title.agproduct.departments.land_harvested": "What departments harvest this agricultural product?", + "graph_builder.page_title.agproduct.departments.land_sown": "What departments sow this agricultural product?", + "graph_builder.page_title.agproduct.departments.production_tons": "What departments produce this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "What municipalities harvest this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_sown": "What municipalities sow this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.production_tons": "What municipalities produce this agricultural product?", + "graph_builder.page_title.industry.cities.employment": "What cities in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.cities.wages": "What cities in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.departments.employment": "What departments in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.departments.wages": "What departments in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.occupations.num_vacancies": "What occupations does this industry employ?", + "graph_builder.page_title.landUse.departments.area": "Which departments have this type of land use?", + "graph_builder.page_title.landUse.municipalities.area": "Which municipalities have this type of land use?", + "graph_builder.page_title.location.agproducts.land_harvested.country": "What agricultural products are harvested in Colombia?", + "graph_builder.page_title.location.agproducts.land_harvested.department": "What agricultural products are harvested in this department?", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "What agricultural products are harvested in this municipality?", + "graph_builder.page_title.location.agproducts.land_sown.country": "What agricultural products are planted in Colombia?", + "graph_builder.page_title.location.agproducts.land_sown.department": "What agricultural products are planted in this department?", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "What agricultural products are planted in this municipality?", + "graph_builder.page_title.location.agproducts.production_tons.country": "What agricultural products are produced in Colombia?", + "graph_builder.page_title.location.agproducts.production_tons.department": "What agricultural products are produced in this department?", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "What agricultural products are produced in this municipality?", + "graph_builder.page_title.location.destination_by_product.export_value.department": "Where does this department export oil to?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "Where does this department import cars from?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "What types of farms are there in Colombia?", + "graph_builder.page_title.location.farmtypes.num_farms.department": "What types of farms are there in this department?", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "What types of farms are there in this municipality?", + "graph_builder.page_title.location.industries.employment.country": "What industries in Colombia employ the most people?", + "graph_builder.page_title.location.industries.employment.department": "What industries in this department employ the most people?", + "graph_builder.page_title.location.industries.employment.msa": "What industries in this city employ the most people?", + "graph_builder.page_title.location.industries.employment.municipality": "What industries in this municipality employ the most people?", + "graph_builder.page_title.location.industries.scatter.country": "What relatively complex industries have the most possibilities for Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "What relatively complex industries have the most possibilities for this department?", + "graph_builder.page_title.location.industries.scatter.msa": "What relatively complex industries have the most possibilities for this city?", + "graph_builder.page_title.location.industries.scatter.municipality": "What relatively complex industries have the most possibilities for this municipality?", + "graph_builder.page_title.location.industries.similarity.country": "Where is Colombia in the industry space?", + "graph_builder.page_title.location.industries.similarity.department": "Where is this department in the industry space?", + "graph_builder.page_title.location.industries.similarity.msa": "Where is this city in the industry space?", + "graph_builder.page_title.location.industries.similarity.municipality": "Where is this municipality in the industry space?", + "graph_builder.page_title.location.industries.wages.country": "What industries in Colombia are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.department": "What industries in this department are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.msa": "What industries in this city are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.municipality": "What industries in this municipality are the largest by total wages?", + "graph_builder.page_title.location.landUses.area.country": "Which types of land uses are in Colombia?", + "graph_builder.page_title.location.landUses.area.department": "Which types of land uses are in this department?", + "graph_builder.page_title.location.landUses.area.municipality": "Which types of land uses are in this municipality?", + "graph_builder.page_title.location.livestock.num_farms.country": "What kinds of livestock farms does Colombia have?", + "graph_builder.page_title.location.livestock.num_farms.department": "What kinds of livestock farms does this department have?", + "graph_builder.page_title.location.livestock.num_farms.municipality": "What kinds of livestock farms does this municipality have?", + "graph_builder.page_title.location.livestock.num_livestock.country": "What kinds of livestock does Colombia have?", + "graph_builder.page_title.location.livestock.num_livestock.department": "What kinds of livestock does this department have?", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "What kinds of livestock does this municipality have?", + "graph_builder.page_title.location.partners.export_value.country": "What countries does Colombia export to?", + "graph_builder.page_title.location.partners.export_value.department": "What countries does this department export to?", + "graph_builder.page_title.location.partners.export_value.msa": "What countries does this city export to?", + "graph_builder.page_title.location.partners.export_value.municipality": "What countries does this municipality export to?", + "graph_builder.page_title.location.partners.import_value.country": "What countries does Colombia import from?", + "graph_builder.page_title.location.partners.import_value.department": "What countries does this department import from?", + "graph_builder.page_title.location.partners.import_value.msa": "What countries does this city import from?", + "graph_builder.page_title.location.partners.import_value.municipality": "What countries does this municipality import from?", + "graph_builder.page_title.location.products.export_value.country": "What products does Colombia export?", + "graph_builder.page_title.location.products.export_value.department": "What products does this department export?", + "graph_builder.page_title.location.products.export_value.msa": "What products does this city export?", + "graph_builder.page_title.location.products.export_value.municipality": "What products does this municipality export?", + "graph_builder.page_title.location.products.import_value.country": "What products does Colombia import?", + "graph_builder.page_title.location.products.import_value.department": "What products does this department import?", + "graph_builder.page_title.location.products.import_value.msa": "What products does this city import?", + "graph_builder.page_title.location.products.import_value.municipality": "What products does this municipality import?", + "graph_builder.page_title.location.products.scatter.country": "What products have the most potential for Colombia?", + "graph_builder.page_title.location.products.scatter.department": "What products have the most potential for this department?", + "graph_builder.page_title.location.products.scatter.msa": "What products have the most potential for this city?", + "graph_builder.page_title.location.products.scatter.municipality": "What products have the most potential for this municipality?", + "graph_builder.page_title.location.products.similarity.country": "Where is Colombia in the product space?", + "graph_builder.page_title.location.products.similarity.department": "Where is this department in the product space?", + "graph_builder.page_title.location.products.similarity.msa": "Where is this city in the product space?", + "graph_builder.page_title.location.products.similarity.municipality": "Where is this municipality in the product space?", + "graph_builder.page_title.product.cities.export_value": "What cities in Colombia export this product?", + "graph_builder.page_title.product.cities.import_value": "What cities in Colombia import this product?", + "graph_builder.page_title.product.departments.export_value": "What departments in Colombia export this product?", + "graph_builder.page_title.product.departments.import_value": "What departments in Colombia import this product?", + "graph_builder.page_title.product.partners.export_value": "Where does Colombia export this product to?", + "graph_builder.page_title.product.partners.export_value.destination": "Where does {{location}} export {{product}} to?", + "graph_builder.page_title.product.partners.import_value": "Where does Colombia import this product from?", + "graph_builder.page_title.product.partners.import_value.origin": "Where does {{location}} import {{product}} from?", + "graph_builder.questions.label": "Change question", + "graph_builder.recirc.header.industry": "Read the profile for this industry", + "graph_builder.recirc.header.location": "Read the profile for this location", + "graph_builder.recirc.header.product": "Read the profile for this product", + "graph_builder.search.placeholder.agproducts": "Highlight agricultural products in the graph below", + "graph_builder.search.placeholder.cities": "Highlight a city on the graph below", + "graph_builder.search.placeholder.departments": "Highlight a department on the graph below", + "graph_builder.search.placeholder.farmtypes": "Highlight a farm type in the graph below", + "graph_builder.search.placeholder.industries": "Highlight industries on the graph below", + "graph_builder.search.placeholder.landUses": "Highlight a land use on the graph below", + "graph_builder.search.placeholder.livestock": "Highlight a livestock type in the graph below", + "graph_builder.search.placeholder.locations": "Highlight locations on the graph below", + "graph_builder.search.placeholder.municipalities": "Highlight a municipality on the graph below", + "graph_builder.search.placeholder.occupations": "Highlight an occupation on the graph below", + "graph_builder.search.placeholder.partners": "Highlight trade partners on the graph below", + "graph_builder.search.placeholder.products": "Highlight products on the graph below", + "graph_builder.search.submit": "Highlight", + "graph_builder.settings.change_time": "Change time period", + "graph_builder.settings.close_settings": "Save and close", + "graph_builder.settings.label": "Change Characteristics", + "graph_builder.settings.rca": "Revealed comparative advantage", + "graph_builder.settings.rca.all": "All", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "to", + "graph_builder.settings.year": "Years", + "graph_builder.settings.year.next": "Next", + "graph_builder.settings.year.previous": "Previous", + "graph_builder.table.agproduct": "Agricultural Product", + "graph_builder.table.area": "Area ", + "graph_builder.table.average_wages": "Avg. monthly wage, Col$", + "graph_builder.table.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.table.code": "Code", + "graph_builder.table.cog": "Opportunity gain", + "graph_builder.table.coi": "Export complexity outlook", + "graph_builder.table.complexity": "Complexity", + "graph_builder.table.country": "Country", + "graph_builder.table.distance": "Distance", + "graph_builder.table.eci": "Export complexity", + "graph_builder.table.employment": "Employment", + "graph_builder.table.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.table.export": "Export", + "graph_builder.table.export_num_plants": "Firm number", + "graph_builder.table.export_rca": "Revealed comparative advantage", + "graph_builder.table.export_value": "Exports, USD", + "graph_builder.table.farmtype": "Farm Type", + "graph_builder.table.gdp_pc_real": "GDP per Capita", + "graph_builder.table.gdp_real": "GDP", + "graph_builder.table.import_value": "Imports, USD", + "graph_builder.table.industry": "Industry", + "graph_builder.table.industry_coi": "Industry complexity outlook", + "graph_builder.table.industry_eci": "Industry complexity", + "graph_builder.table.land_harvested": "Land harvested (ha)", + "graph_builder.table.land_sown": "Land sown (ha)", + "graph_builder.table.land_use": "Land Use", + "graph_builder.table.less_than_5": "Less than 5", + "graph_builder.table.livestock": "Livestock", + "graph_builder.table.location": "Location", + "graph_builder.table.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.table.name": "Name", + "graph_builder.table.num_establishments": "Firm number", + "graph_builder.table.num_farms": "Number of farms", + "graph_builder.table.num_livestock": "Number of livestock", + "graph_builder.table.num_vacancies": "Vacancies", + "graph_builder.table.occupation": "Occupation", + "graph_builder.table.parent": "Parent", + "graph_builder.table.parent.country": "Region", + "graph_builder.table.population": "Population", + "graph_builder.table.production_tons": "Production (tons)", + "graph_builder.table.rca": "Revealed comparative advantage", + "graph_builder.table.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.table.share": "Share", + "graph_builder.table.wages": "Total wages, Col$ (in thousands)", + "graph_builder.table.year": "Year", + "graph_builder.table.yield_index": "Yield Index", + "graph_builder.table.yield_ratio": "Yield (tons/ha)", + "graph_builder.view_more": "View more", + "header.destination": "Destination", + "header.destination_by_products": "Destinations by Products", + "header.employment": "Employment", + "header.export": "Exports", + "header.import": "Imports", + "header.industry": "Industries", + "header.industry_potential": "Potential", + "header.industry_space": "Industry space", + "header.landUse": "Land Use", + "header.land_harvested": "Land Harvested", + "header.land_sown": "Land Sown", + "header.occupation": "Occupations", + "header.occupation.available_jobs": "Job openings", + "header.origin": "Origin", + "header.origin_by_products": "Origin by Products", + "header.overview": "Overview", + "header.partner": "Partners", + "header.product": "Products", + "header.product_potential": "Potential", + "header.product_space": "Product space", + "header.production_tons": "Production", + "header.region": "By department", + "header.subregion": "By city", + "header.subsubregion": "By municipality ", + "header.wage": "Total wages", + "index.builder_cta": "Build graphs about coffee", + "index.builder_head": "Then dive into the graph builder", + "index.builder_subhead": "Create graphs and maps for your presentations", + "index.complexity_caption": "How good is it? Country growth predictions using economic complexity were more than six times as accurate as conventional metrics, such as the Global Competitiveness Index.", + "index.complexity_cta": "Read more about complexity concepts", + "index.complexity_figure.WEF_name": "Global Competitiveness Index", + "index.complexity_figure.complexity_name": "Complexity ranking", + "index.complexity_figure.head": "Growth explained (percent of 10-year variance)", + "index.complexity_head": "The complexity advantage", + "index.complexity_subhead": "Countries that export complex products, which require a lot of knowledge, grow faster than those that export raw materials. Using the methods of measuring and visualizing economic complexity developed by Harvard University, Datlas helps to explore the production and export possibilities of every city and department in Colombia.", + "index.country_profile": "Read the profile for Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.future_head": "Mapping the future", + "index.future_subhead": "Scatterplots and network diagrams help find the untapped markets best suited to a city or a department.", + "index.graphbuilder.id": "87", + "index.header_h1": "The Colombian Atlas of Economic Complexity", + "index.header_head": "You haven\u2019t seen Colombia like this before", + "index.header_subhead": "Visualize the possibilities for industries, exports and locations across Colombia.", + "index.industry_head": "Learn about an industry", + "index.industry_q1": "Where in Colombia does the chemical industry employ the most people?", + "index.industry_q1.id": "461", + "index.industry_q2": "What occupations are demanded by the chemical industry?", + "index.industry_q2.id": "461", + "index.location_head": "Learn about a location", + "index.location_q1": "What industries in Bogot\u00e1 Met employ the most people?", + "index.location_q1.id": "41", + "index.location_q2": "What products have the most potential in Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "See all questions", + "index.present_head": "Charting the present", + "index.present_subhead": "Use our treemaps, charts, and maps to break down your department, city or municipality\u2019s exports and employment.", + "index.product_head": "Learn about an export", + "index.product_q1": "What places in Colombia export computers?", + "index.product_q1.id": "1143", + "index.product_q2": "What places in Colombia import computers?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Read the profile for Antioquia", + "index.profiles_head": "Start with our profiles", + "index.profiles_subhead": "Just the essentials, presented as a one-page summary", + "index.questions_head": "We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Research featured in", + "industry.show.avg_wages": "Average wages ({{year}})", + "industry.show.employment": "Employment ({{year}})", + "industry.show.employment_and_wages": "Formal employment and wages", + "industry.show.employment_growth": "Employment growth rate ({{yearRange}})", + "industry.show.industries": "Industries", + "industry.show.industry_composition": "Industry composition, {{year}}", + "industry.show.occupation": "Occupations", + "industry.show.occupation_demand": "Occupations most demanded by this industry, 2014", + "industry.show.value": "Value", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "department", + "location.model.msa": "city", + "location.model.municipality": "municipality", + "location.show.ag_farmsize": "Avg. agricultural farm size (ha)", + "location.show.all_departments": "Compared to the other departments", + "location.show.all_regions": "Compared to the other locations", + "location.show.bullet.gdp_grow_rate": "The GDP growth rate in the period {{yearRange}} was {{gdpGrowth}}, compared to 5.3% for Colombia", + "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$15.1 million for Colombia in 2014.", + "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 46.3 million in Colombia as a whole in 2014.", + "location.show.eci": "Export complexity", + "location.show.employment": "Employment ({{lastYear}})", + "location.show.employment_and_wages": "Formal employment and wages", + "location.show.export_possiblities": "Export possiblities", + "location.show.export_possiblities.footer": "Some exports make not be viable due to local factors not considered by the technological similarity approach.", + "location.show.export_possiblities.intro": "We\u2019ve found that countries which export complex products grow faster than those which export simple products. Using the product space presented above, we\u2019ve highlighted \u00a0high potential products for {{name}}, ranked by which have the highest combination of opportunity and complexity.", + "location.show.exports": "Exports ({{year}})", + "location.show.exports_and_imports": "Exports and imports", + "location.show.gdp": "GDP", + "location.show.gdp_pc": "GDP per Capita", + "location.show.growth_annual": "Growth rate ({{yearRange}})", + "location.show.imports": "Imports ({{year}})", + "location.show.nonag_farmsize": "Avg. nonagricultural farm size (ha)", + "location.show.overview": "Overview", + "location.show.population": "Population", + "location.show.subregion.exports": "Export Composition by Municipality ({{year}})", + "location.show.subregion.imports": "Import Composition by Municipality ({{year}})", + "location.show.subregion.title": "Export and Import by Municipality", + "location.show.total_wages": "Total wages ({{lastYear}})", + "location.show.value": "Value", + "pageheader.about": "About", + "pageheader.alternative_title": "Atlas of Economic Complexity", + "pageheader.brand_slogan": "You haven't seen Colombia like this before", + "pageheader.download": "About the Data", + "pageheader.graph_builder_link": "Graph Builder", + "pageheader.profile_link": "Profile", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Search", + "pageheader.search_placeholder": "Search for a location, product or industry", + "pageheader.search_placeholder.industry": "Search for a industry", + "pageheader.search_placeholder.location": "Search for a location", + "pageheader.search_placeholder.product": "Search for a product", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explanation", + "rankings.intro.p": "Compare departments and cities across Colombia.", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Cities", + "rankings.section.departments": "Departments", + "rankings.table-title": "rank", + "search.didnt_find": "Didn\u2019t find what you were looking for? Let us know: Datlascolombia@bancoldex.com", + "search.header": "results", + "search.intro": "Search for the location, product, industry or occupation that you\u2019re interested in", + "search.level.4digit": "HS (1992) four-digit", + "search.level.class": "ISIC four-digit", + "search.level.country": "Country", + "search.level.department": "Department", + "search.level.division": "ISIC two-digit", + "search.level.msa": "City", + "search.level.municipality": "Municipality", + "search.level.parent.4digit": "HS (1992) two-digit", + "search.level.parent.class": "ISIC two-digit", + "search.level.parent.country": "Region", + "search.placeholder": "Type here to search", + "search.results_industries": "Industries", + "search.results_locations": "Locations", + "search.results_products": "Products", + "table.export_data": "Export Data", + "thousands_delimiter": "," +}; \ No newline at end of file diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index 6f4a721d..5e0bfe3e 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -37,23 +37,23 @@ export default { "country.show.agproducts.production_tons": "Producci\u00f3n (toneladas)", "country.show.average_livestock_load": "628", "country.show.dotplot-column": "Departamentos de Colombia", - "country.show.eci": "0,037", + "country.show.eci": "0,35", "country.show.economic_structure": "Estructura econ\u00f3mica", - "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 49,5 millones (a diciembre 2017), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2016 fue Col $772,4 billones, o US$253,2 miles de millones a la tasa de cambio promedio de 2016 (1 US d\u00f3lar = 3.050 pesos colombianos). En 2016, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $17.798.353 o US$5.806. Durante el a\u00f1o 2016 la econom\u00eda colombiana creci\u00f3 2%.", - "country.show.economic_structure.copy.p2": "Los servicios empresariales y financieros son el sector m\u00e1s grande, con una contribuci\u00f3n al PIB de 20,9%, seguidos por los servicios de gobierno, sociales y personales (15,4%) y las actividades manufactureras (11,2%). Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 25,7, 13,9 y 9,7%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", + "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 49,5 millones (a diciembre 2017), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2017 fue Col $835,1 billones, o US$283 miles de millones a la tasa de cambio promedio de 2017 (1 US d\u00f3lar = 2.951 pesos colombianos). En 2017, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $18.828.100 o US$6.380,24. Durante el a\u00f1o 2017 la econom\u00eda colombiana creci\u00f3 1.8%.", + "country.show.economic_structure.copy.p2": "Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 26,4%, 15% y 9%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", "country.show.employment_wage_occupation": "Empleo formal, ocupaciones y salarios", - "country.show.employment_wage_occupation.copy.p1": "Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2016 fue 8,2 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 31,7%, 17,1%, and 10,8% del empleo formal (efectivo).", - "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2014.", + "country.show.employment_wage_occupation.copy.p1": "Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2016 fue 8,2 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 31,7%, 17,1%, y 10,8% del empleo formal (efectivo).", + "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2017.", "country.show.export_complexity_possibilities": "Complejidad de las exportaciones y posibilidades de exportaci\u00f3n", "country.show.export_complexity_possibilities.copy.p1": "El concepto de complejidad de las exportaciones es an\u00e1logo al de complejidad de los sectores sectorial presentado arriba, pero referido ahora a las exportaciones. Se mide mediante el \u00cdndice de Complejidad del Producto. Se ha comprobado que los pa\u00edses que exportan productos que son relativamente complejos con respecto a su nivel de desarrollo tienden a crecer m\u00e1s r\u00e1pido que los pa\u00edses que exportan bienes relativamente simples. Seg\u00fan la complejidad de su canasta exportadora en 2013, Colombia ocupa el puesto 53 entre 124 pa\u00edses. La tasa de crecimiento proyectada para Colombia con base en su complejidad y su nivel de desarrollo es 3,3% por a\u00f1o en el per\u00edodo 2013-2023.", "country.show.export_complexity_possibilities.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los productos de exportaci\u00f3n\" (o mapa de los productos) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud tecnol\u00f3gica entre todos los productos de exportaci\u00f3n, seg\u00fan los patrones de exportaci\u00f3n de todos los pa\u00edses. Cada punto o nodo representa un producto; los nodos conectados entre s\u00ed requieren capacidades productivas semejantes. Los productos que est\u00e1n m\u00e1s conectados tienden a agruparse en el centro de la red, lo cual implica que las capacidades que ellos usan pueden ser utilizadas en la producci\u00f3n de muchos otros productos.", "country.show.export_complexity_possibilities.copy.p3": "Los puntos que aparecen destacados representan productos que Colombia exporta en cantidades relativamente importantes (m\u00e1s exactamente, con ventaja comparativa revelada mayor de uno, v\u00e9ase el Glosario). Los colores representan grupos de productos (son los mismos colores usados para los sectores correspondientes en el mapa de similitud tecnol\u00f3gica presentado arriba). El gr\u00e1fico que aparece m\u00e1s abajo, junto con el cuadro que lo acompa\u00f1a, indica qu\u00e9 productos ofrecen las mejores posibilidades para Colombia, dadas las capacidades productivas que ya tiene el pa\u00eds y que tan \u2018distantes\u2019 son esas capacidades de las que requieren para exportar otras cosas. ", "country.show.exports": "Exportaciones", - "country.show.exports.copy.p1": "Colombia export\u00f3 US$32,5 miles de millones en 2016. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Panam\u00e1, China y Espa\u00f1a. En 2016, los productos minerales (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 51,7% de las exportaciones totales de bienes; los productos vegetales, alimentos y maderas 22,57%, y los quimicos y pl\u00e1sticos 9,78%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", + "country.show.exports.copy.p1": "Colombia export\u00f3 US$38,2 miles de millones en 2017. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Panam\u00e1, China y Holanda. En 2017, los productos minerales (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 56,2% de las exportaciones totales de bienes; los productos vegetales, alimentos y maderas 20,78%, y los quimicos y pl\u00e1sticos 8,43%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", "country.show.exports_composition_by_department": "Composici\u00f3n de las exportaciones por departamento ({{year}})", "country.show.exports_composition_by_products": "Composici\u00f3n de las exportaciones ({{year}})", "country.show.gdp": "Col $756,152 bill", - "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.gdp_per_capita": "Col $18.828.100", "country.show.industry_complex": "Complejidad de los sectores productivos", "country.show.industry_complex.copy.p1": "La complejidad de los sectores productivos, que se cuantifica mediante el \u00cdndice de Complejidad del Sector, es una media de la amplitud de las capacidades y habilidades \u2013know-how\u2013 que se requiere en un sector productivo. Se dice que sectores tales como qu\u00edmicos o maquinaria son altamente complejos porque requieren un nivel sofisticado de conocimientos productivos que solo es factible encontrar en grandes empresas donde interact\u00faa un n\u00famero de individuos altamente capacitados. En contraste, sectores como el comercio minorista o restaurantes requieren solo niveles b\u00e1sicos de capacitaci\u00f3n que pueden encontrarse incluso en una peque\u00f1a empresa familiar. Los sectores m\u00e1s complejos son m\u00e1s productivos y contribuyen m\u00e1s a elevar el ingreso per c\u00e1pita. Los departamentos y ciudades con sectores m\u00e1s complejos tienen una base productiva m\u00e1s diversificada y tienden a crear m\u00e1s empleo formal.", "country.show.industry_complex.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los sectores\" (o mapa de los sectores) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud de las capacidades y habilidades entre pares de sectores. Cada punto (o nodo) representa un sector; los nodos conectados por l\u00edneas requieren capacidades semejantes. Los sectores con m\u00e1s conexiones usan capacidades que pueden ser utilizadas en muchos otros sectores. Los colores representan grupos de sectores.", @@ -61,8 +61,8 @@ export default { "country.show.landuses": "Uso del Suelo en Colombia", "country.show.landuses.area": "\u00c1rea Total (ha)", "country.show.nonag_farmsize": "4.53 ha", - "country.show.occupation.num_vac": "Vacantes anunciadas", - "country.show.population": "48,1 mill", + "country.show.occupation.num_vac": "Vacantes anunciadas (2017)", + "country.show.population": "49,5 mill", "country.show.product_space": "Mapa de los productos", "country.show.total": "Totales", "ctas.csv": "CSV", @@ -88,7 +88,7 @@ export default { "downloads.map.header": "Mapa", "downloads.occupations_copy": "Todos los datos sobre las ocupaciones (salarios ofrecidos por ocupaci\u00f3n y sector, y estructura ocupacional por sector) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos fueron procesados \u200b\u200bpor Jeisson Arley Rubio C\u00e1rdenas, investigador de la Universidad del Rosario, Bogot\u00e1, y Jaime Mauricio Monta\u00f1a Doncel, estudiante de maestr\u00eda en la Escuela de Econom\u00eda de Par\u00eds.", "downloads.occupations_head": "Datos de ocupaciones", - "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2014)", + "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2017)", "downloads.other_copy": "El Departamento Administrativo Nacional de Estad\u00edstica, DANE, es la fuente de todos los datos sobre el PIB y la poblaci\u00f3n.", "downloads.other_head": "Otros datos (DANE)", "downloads.other_row_1": "PIB y variables demogr\u00e1ficas", @@ -562,7 +562,7 @@ export default { "index.profiles_cta": "Lea el perfil de Antioquia", "index.profiles_head": "Comience por los perfiles", "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", - "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas", + "index.questions_head": "Nueva actualizaci\u00f3n 2017: m\u00f3dulos comercio exterior y sectores ", "index.questions_subhead": "index.questions_subhead", "index.research_head": "Investigaci\u00f3n mencionada en", "industry.show.avg_wages": "Salarios promedio ({{year}})", @@ -583,9 +583,9 @@ export default { "location.show.all_departments": "Comparaci\u00f3n con otros departamentos", "location.show.all_regions": "En comparaci\u00f3n con los otros lugares", "location.show.average_livestock_load": "", - "location.show.bullet.gdp_grow_rate": "La tasa de crecimiento del PIB en el per\u00edodo {{yearRange}} fue {{gdpGrowth}}, comparada con 5,3% para toda Colombia.", - "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$15,1 millones para toda Colombia en 2014.", - "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 46,3 millones de personas en todo el pa\u00eds en 2014.", + "location.show.bullet.gdp_grow_rate": "Principales variables del departamento:", + "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$18,8 millones para toda Colombia en 2017.", + "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 49,5 millones de personas en todo el pa\u00eds en 2017.", "location.show.eci": "Complejidad exportadora", "location.show.employment": "Empleo total ({{lastYear}})", "location.show.employment_and_wages": "Empleo formal y salarios", diff --git a/app/locales/es-col/translations.original b/app/locales/es-col/translations.original new file mode 100644 index 00000000..9c3865a5 --- /dev/null +++ b/app/locales/es-col/translations.original @@ -0,0 +1,568 @@ +export default { + "abbr_billion": "mm", + "abbr_million": "mill", + "abbr_thousand": "miles", + "abbr_trillion": "bill", + "about.downloads.explanation.p1": "Descarque el documento que explica c\u00f3mo se calcula cada una de las variables de complejidad que utiliza Datlas.", + "about.downloads.explanation.title": "M\u00e9todos de c\u00e1lculo de las variables de complejidad", + "about.downloads.locations": "Listas de departmentos, ciudades (incluyendo \u00e1reas metropolitanas) y municipios", + "about.glossary": "

V\u00e9ase la p\u00e1gina \"Acerca de los datos\" para m\u00e1s informaci\u00f3n sobre fuentes, m\u00e9todos de c\u00e1lculo de las variables de complejidad y bases de datos descargables.

\u00c1reas metropolitanas

Un \u00e1rea metropolitana es la combinaci\u00f3n de dos o m\u00e1s municipios que est\u00e1n conectados a trav\u00e9s de flujos relativamente grandes de trabajadores (con independencia de su tama\u00f1o o contig\u00fcidad). Un municipio debe enviar al menos un 10% de sus trabajadores como viajeros diarios al resto de los municipios del \u00e1rea metropolitana para considerarse como parte de dicha \u00e1rea.

Con base en esta definici\u00f3n hay 19 \u00e1reas metropolitanas en Colombia, que comprenden 115 municipios. Las \u00e1reas metropolitanas resultantes son distintas de las oficiales. Se sigue la metodolog\u00eda de G. Duranton ( 2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Ciudades

Son las \u00e1reas metropolitanas y los municipios de m\u00e1s de 50.000 habitantes con al menos 75% de poblaci\u00f3n en la cabecera municipal. En total hay 62 ciudades (19 \u00e1reas metropolitanas que comprenden 115 municipios, m\u00e1s 43 ciudades de un solo municipio). El concepto de ciudad es relevante porque Datlas presenta indicadores de complejidad por departamento y por ciudad, pero no por municipio.

Complejidad

Complejidad es la diversidad y sofisticaci\u00f3n del \"know-how\" que se requiere para producir algo. El concepto de complejidad es central en Datlas porque la productividad y el crecimiento de cualquier lugar dependen de que las empresas puedan producir y exportar con \u00e9xito bienes y servicios que requieren capacidades y conocimientos m\u00e1s complejos, es decir m\u00e1s diversos y exclusivos. La complejidad puede medirse para un lugar, para un producto de exportaci\u00f3n, o para un sector.

Complejidad potencial de un lugar

Mide el potencial de aumento de la complejidad de un lugar. Tiene en cuenta el nivel de complejidad de todos los sectores productivos (o productos de exportaci\u00f3n), junto con la \u201cdistancia\u201d a los dem\u00e1s sectores (o productos). Con esta informaci\u00f3n mide la probabilidad de que aparezcan nuevos sectores (o exportaciones) y qu\u00e9 tanto elevar\u00edan la complejidad del lugar. Valores m\u00e1s altos indican que es m\u00e1s probable desarrollar nuevos sectores (o productos) m\u00e1s complejos que los que ya se tienen.

La complejidad potencial basada en sectores se calcula para los departamentos y ciudades, no para los dem\u00e1s municipios. La complejidad potencial basada en las exportaciones se calcula solamente por departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

DANE

DANE es el Departamento Administrativo Nacional de Estad\u00edstica de Colombia, fuente de todos los datos sobre el PIB y la poblaci\u00f3n que utiliza Datlas.

DIAN

DIAN es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, fuente de toda la informaci\u00f3n sobre exportaciones e importaciones de Datlas.

Distancia a un sector o exportaci\u00f3n en un lugar

La \u201cdistancia\u201d es una medida de la capacidad de un lugar para desarrollar un sector o una exportaci\u00f3n espec\u00edfica, teniendo en cuenta las capacidades productivas existentes. La \u201cdistancia\u201d es menor en la medida en que las capacidades requeridas por un sector o exportaci\u00f3n son m\u00e1s similares a las ya existentes. En esa medida ser\u00e1n mayores las posibilidades de que desarrolle con \u00e9xito el sector o exportaci\u00f3n. Visto de otra forma, la distancia refleja la proporci\u00f3n del conocimiento productivo que se necesita para que aparezca un sector o exportaci\u00f3n que a\u00fan no existe en el lugar.

Las distancias por sectores productivos se calculan solamente para los departamentos y ciudades, no para los dem\u00e1s municipios. Las distancias para las exportaciones se calculan solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Diversidad

Es una medida de cu\u00e1ntos productos diferentes puede hacer un lugar. La producci\u00f3n de un bien cualquiera requiere un conjunto espec\u00edfico de capacidades; por consiguiente la diversidad es otra forma de expresar la cantidad de conocimiento productivo de un lugar.

Empleo, salarios y tasa de empleo formal

El empleo formal es aquel que est\u00e1 cubierto por el sistema de seguridad social en salud y/o por el sistema de pensiones. No incluye trabajadores independientes. El empleo formal reportado es el n\u00famero de empleados formales en un mes promedio. La tasa de formalidad es el empleo formal dividido por la poblaci\u00f3n mayor de 15 a\u00f1os. Los datos de empleo y salarios provienen de la PILA del Ministerio de Salud. Los datos de poblaci\u00f3n son del DANE.

Empresas, n\u00famero de

El conteo de empresas con actividad productiva por lugar (municipio, departamento, nacional) se hizo teniendo en cuenta todas aquellas empresas registradas en la PILA que hicieron alg\u00fan aporte a la seguridad social para sus empleados en el a\u00f1o de referencia (aunque no hayan estado en operaci\u00f3n todo el a\u00f1o).

El conteo de empresas exportadoras o importadoras se hizo por municipio y producto teniendo en cuenta cualquier empresa que seg\u00fan la DIAN hubiera realizado alguna operaci\u00f3n en el a\u00f1o de referencia (por consiguiente, el conteo de empresas exportadoras o importadoras de un producto por departamento o para todo el pa\u00eds puede tener duplicaciones).

\u00cdndice de Complejidad del Producto (ICP)

Ordena los productos de exportaci\u00f3n seg\u00fan qu\u00e9 tantas capacidades productivas se requieren para su fabricaci\u00f3n. Productos complejos de exportaci\u00f3n, tales como qu\u00edmicos y maquinaria, requieren un nivel sofisticado y diverso de conocimientos que s\u00f3lo se consigue con la interacci\u00f3n en empresas de muchos individuos con conocimientos especializados. Esto contrasta con las exportaciones de baja complejidad, como el caf\u00e9, que requieren apenas conocimientos productivos b\u00e1sicos que se pueden reunir en una empresa familiar. Para calcular la complejidad de los productos de exportaci\u00f3n se utilizan datos de Comtrade de las Naciones Unidas para cerca de 200 pa\u00edses.

\u00cdndice de Complejidad Econ\u00f3mica (ICE)

Una medida de la sofisticaci\u00f3n de las capacidades productivas de un lugar basada en la diversidad y la ubicuidad de sus sectores productivos o sus exportaciones. Un lugar con alta complejidad produce o exporta bienes y servicios que pocos otros lugares producen. Lugares altamente complejos tienden a ser m\u00e1s productivos y a generar mayores salarios e ingresos. Los pa\u00edses con canastas de exportaci\u00f3n m\u00e1s sofisticadas de lo que se espera para su nivel de ingresos (como China) tienden a crecer m\u00e1s r\u00e1pido que aquellos en los que es todo lo contrario (como Grecia).

El ICE basado en los sectores productivos (o \u00edndice de complejidad productiva) se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. La ICE basado en las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la estructura de las exportaciones es inestable y/o poco representativa).

\u00cdndice de Complejidad del Sector (ICS)

Es una medida de qu\u00e9 tantas capacidades productivas requieren un sector para operar. El ICS y el \u00cdndice de Complejidad del Producto (ICP) son medidas estrechamente relacionadas, pero se calculan en forma separada con datos y sistemas de clasificaci\u00f3n independientes, ya que la complejidad del producto se calcula solo para mercanc\u00edas comercializables internacionalmente, mientras que los sectores productivos comprenden todos los sectores que generan empleo, incluidos todos los servicios y el sector p\u00fablico. Un sector es complejo si requiere un nivel sofisticado de conocimientos productivos, como los servicios financieros y los sectores farmac\u00e9uticos, en donde trabajan en grandes empresas muchos individuos con conocimientos especializados distintos. La complejidad de un sector se mide calculando la diversidad promedio de los lugares donde existe el sector y la ubicuidad promedio de los sectores de esos lugares. Los datos de empleo formal necesarios para estos c\u00e1lculos provienen de la PILA del Ministerio de Salud.

Mapa de similitud tecnol\u00f3gica de productos de exportaci\u00f3n (o mapa de los productos)

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos para la exportaci\u00f3n de unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Aparecen con color los productos de exportaci\u00f3n que se exportan con ventaja comparativa revelada mayor que uno. Cuando se selecciona un producto, el gr\u00e1fico destaca los productos que requieren capacidades productivas semejantes. Un producto con m\u00e1s enlaces con otros que no se exportan ofrece mayor potencial para la diversificaci\u00f3n exportadora a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el producto tiene un alto potencial para elevar la complejidad del lugar.

El mapa de similitud de los productos se basa en los datos de comercio internacional de 192 pa\u00edses en m\u00e1s de 50 a\u00f1os compilados por Comtrade. Ver http://atlas.cid.harvard.edu/.

Mapa de similitud de los sectores productivos de Colombia

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores u otros. Cada punto representa un sector y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Aparecen con color los sectores con ventaja comparativa revelada mayor que uno. Cuando se selecciona un lugar, el gr\u00e1fico destaca los sectores que requieren capacidades productivas semejantes. Un sector con m\u00e1s enlaces con sectores que no existen ofrece mayor potencial para la diversificaci\u00f3n productiva a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el sector tiene un alto potencial para elevar la complejidad del lugar. El mapa de los sectores productivos de Colombia fue construido a partir de la informaci\u00f3n de empleo formal por municipio de la PILA del Ministerio de Salud.

Ocupaciones

Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos sobre las ocupaciones (salarios ofrecidos, estructura ocupacional por sector y nivel educativo por ocupaci\u00f3n) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Los datos fueron procesados por Jeisson Arley Rubio C\u00e1rdenas (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Escuela de Econom\u00eda de Par\u00eds).

PILA

PILA es la Planilla Integrada de Aportes Laborales del Ministerio de Salud. Es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector.

Productos de exportaci\u00f3n e importaci\u00f3n: sistema de clasificaci\u00f3n

El sistema de clasificaci\u00f3n de los productos de exportaci\u00f3n e importaci\u00f3n de Datlas es la nomenclatura arancelaria NABANDINA, la cual calza a seis d\u00edgitos con la clasificaci\u00f3n internacional del Sistema Armonizado (SA). Datlas presenta informaci\u00f3n de productos (de exportaci\u00f3n e importaci\u00f3n) a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la DIAN.

Sectores productivos: sistema de clasificaci\u00f3n

La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). Datlas presenta informaci\u00f3n sectorial a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la PILA. Siguiendo las convenciones de la contabilidad nacional, los trabajadores contratados por agencias de empleo temporal se clasifican en el sector de suministro de personal (7491), no en el sector de la empresa donde prestan servicios.

Ubicuidad

Una medida del n\u00famero de lugares que pueden producir un producto.

Valor estrat\u00e9gico de un sector o una exportaci\u00f3n para un lugar

Capta en qu\u00e9 medida un lugar podr\u00eda beneficiarse mediante el desarrollo de un sector en particular (o un producto de exportaci\u00f3n). Tambi\u00e9n conocida como \"ganancia de oportunidad\", esta medida representa la distancia a todos los otros sectores (o exportaciones) que un lugar no produce actualmente con ventaja comparativa revelada mayor que uno y su respectiva complejidad. Refleja c\u00f3mo un nuevo sector (o exportaci\u00f3n) puede abrir paso a otros sectores o productos m\u00e1s complejos. El valor estrat\u00e9gico de los sectores productivos se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. El valor estrat\u00e9gico de las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Ventaja Comparativa Revelada (VCR) de un sector o una exportaci\u00f3n en un lugar

Mide el tama\u00f1o relativo de un sector o un producto de exportaci\u00f3n en un lugar. La VCR, que no debe interpretarse como un indicador de eficiencia productiva o de competitividad, se conoce tambi\u00e9n por el nombre de \"cociente de localizaci\u00f3n\u201d. Se calcula como el cociente entre la participaci\u00f3n del empleo formal de un sector en el lugar y la participaci\u00f3n del empleo formal total del mismo sector en todo el pa\u00eds. Por ejemplo, si la industria qu\u00edmica en una ciudad genera el 10% del empleo, mientras que en todo el pa\u00eds genera el 1% del empleo, la VCR de la industria qu\u00edmica en dicha ciudad es 10. Para una exportaci\u00f3n es la relaci\u00f3n entre la participaci\u00f3n que tiene el producto en la canasta de exportaci\u00f3n del lugar y la participaci\u00f3n que tiene en el comercio mundial. Si esta relaci\u00f3n es mayor que 1, se dice que el lugar tiene ventaja comparativa revelada en el sector o en la exportaci\u00f3n. Por ejemplo, si el caf\u00e9 representa el 30% de las exportaciones de un departamento colombiano, pero da cuenta apenas del 0.3% del comercio mundial, entonces la VCR del departamento en caf\u00e9 es 100.

", + "about.glossary_name": "Glosario", + "about.project_description.cid.header": "El CID y el Laboratorio de Crecimiento ", + "about.project_description.cid.p1": "Este proyecto ha sido desarrollado por el Centro para el Desarrollo Internacional de la Universidad de Harvard (CID), bajo la direcci\u00f3n del profesor Ricardo Hausmann", + "about.project_description.cid.p2": "El CID tiene por objetivos avanzar en la comprensi\u00f3n de los desaf\u00edos del desarrollo y ofrecer soluciones viables para reducir la pobreza mundial. El Laboratorio de Crecimiento es uno de los principales programas de investigaci\u00f3n del CID.", + "about.project_description.contact.header": "Informaci\u00f3n de contacto", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex, el banco de desarrollo empresarial de Colombia, est\u00e1 comprometido con el desarrollo de instrumentos financieros y no financieros orientados a mejorar la competitividad, la productividad, el crecimiento y la internacionalizaci\u00f3n de las empresas colombianas. Aprovechando su posici\u00f3n de mercado y su capacidad para establecer relaciones empresariales, Banc\u00f3ldex gestiona activos financieros, desarrolla soluciones de acceso a la financiaci\u00f3n y ofrece soluciones de capital innovadoras que fomentan y aceleran el crecimiento empresarial. Adem\u00e1s de ofrecer pr\u00e9stamos tradicionales, Banc\u00f3ldex ha sido designado para ejecutar varios programas de desarrollo tales como el Programa de Transformaci\u00f3n Productiva, iNNpulsa Colombia, iNNpulsa Mipyme y la Banca de las Oportunidades. Todos ellos conforman una oferta integrada de servicios para promover el entorno empresarial colombiano y la competitividad. Datlas es parte del Programa de Transformaci\u00f3n Productiva y la iniciativas INNpulsa Colombia.", + "about.project_description.founder2.header": "Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.founder2.p": "Creada en 1953, la Fundaci\u00f3n Mario Santo Domingo (FMSD) es una organizaci\u00f3n sin fines de lucro dedicada a la implementaci\u00f3n de programas de desarrollo comunitario en Colombia. FMSD concentra sus principales esfuerzos en la construcci\u00f3n de viviendas asequibles dentro de un modelo de desarrollo comunitario llamado Desarrollo Integral de Comunidades Sustentables, dise\u00f1ado por el FMSD como respuesta al gran d\u00e9ficit de vivienda en Colombia. A trav\u00e9s de este programa, el FMSD proporciona apoyo social a las familias, as\u00ed como infraestructura social y urbana para los menos privilegiados. FMSD tambi\u00e9n contribuye al desarrollo empresarial de la regi\u00f3n Norte de Colombia y de Bogot\u00e1 a trav\u00e9s de su Unidad de Microfinanzas, que ofrece capacitaci\u00f3n y servicios financieros como el microcr\u00e9dito. M\u00e1s de 130.000 empresarios han recibido pr\u00e9stamos de la Fundaci\u00f3n desde su lanzamiento en 1984. FMSD tambi\u00e9n trabaja en identificar alianzas y sinergias entre los sectores p\u00fablico y privado en las \u00e1reas de desarrollo social cr\u00edticos, como la primera infancia, la sostenibilidad ambiental, la atenci\u00f3n de desastres, la educaci\u00f3n y la salud.", + "about.project_description.founders.header": "Entidades Patrocinadoras", + "about.project_description.founders.p": "Este proyecto es financiado por Banc\u00f3ldex y la Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.github": "Revise nuestro c\u00f3digo", + "about.project_description.intro.p1": "En Colombia, las diferencias de ingresos entre regiones son enormes y han ido creciendo: las nuevas oportunidades de empleo se concentran cada vez m\u00e1s en las \u00e1reas metropolitanas de Bogot\u00e1, Medell\u00edn y Cali, aparte de los lugares donde se extraen petr\u00f3leo y otros minerales. El ingreso promedio de los residentes de Bogot\u00e1 es cuatro veces el de los colombianos que viven en los 12 departamentos m\u00e1s pobres.", + "about.project_description.intro.p2": "Datlas es una herramienta de diagn\u00f3stico para que las empresas, los inversionistas y las autoridades de gobierno puedan tomar decisiones que ayuden a elevar la productividad. Contiene informaci\u00f3n por departamento, \u00e1rea metropolitana y municipio sobre actividad productiva, empleo, salarios y exportaciones. Ofrece criterios para identificar los sectores y las exportaciones con potencial de crecimiento con base en la complejidad econ\u00f3mica.", + "about.project_description.intro.p3": "La complejidad econ\u00f3mica es una medida de las capacidades y conocimientos de los sectores productivos de un pa\u00eds o una ciudad. Para hacer una camisa, hay que dise\u00f1arla, producir la tela, cortar, coser, empacar el producto, comercializarlo y distribuirlo. Para que un pa\u00eds pueda producir camisas, necesita personas que tengan experiencia en cada una de estas \u00e1reas. Cada una de estas tareas implica muchas m\u00e1s capacidades de las que cualquier persona sola puede dominar. S\u00f3lo mediante la combinaci\u00f3n de know-how de diferentes personas puede hacerse el producto. El camino hacia el desarrollo econ\u00f3mico consiste en aprender a hacer cosas m\u00e1s sofisticadas. El juego de Scrabble puede servir de analog\u00eda: el jugador que tiene un mayor n\u00famero de letras variadas puede hacer m\u00e1s palabras y conseguir m\u00e1s puntos. Los pa\u00edses con una mayor diversidad de capacidades productivas pueden hacer una mayor diversidad de productos. El desarrollo econ\u00f3mico ocurre en la medida en que el pa\u00eds o la ciudad adquiere m\u00e1s capacidades y conocimientos para producir productos cada vez m\u00e1s complejos.", + "about.project_description.intro.p4": "Este enfoque conceptual que ha sido aplicado a nivel internacional en el Atlas de la Complejidad Econ\u00f3mica se utiliza ahora en esta herramienta en l\u00ednea para identificar las posibilidades de exportaci\u00f3n y de desarrollo sectorial de los departamentos, las \u00e1reas metropolitanas y las ciudades colombianas.", + "about.project_description.letter.header": "Bolet\u00edn de Estudios del CID", + "about.project_description.letter.p": "Inscr\u00edbase al Bolet\u00edn de Estudios del CID para mantenerse al d\u00eda con los avances de la investigaci\u00f3n y las herramientas pr\u00e1cticas en temas relacionados con la complejidad.", + "about.project_description.team.header": "El equipo acad\u00e9mico y t\u00e9cnico", + "about.project_description.team.p": "El equipo acad\u00e9mico de CID de Harvard: Ricardo Hausmann (director), Eduardo Lora (coordinador), Tim Cheston, Andr\u00e9s G\u00f3mez-Li\u00e9vano, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery y Juan T\u00e9llez. El equipo de programaci\u00f3n y visualizaci\u00f3n de CID de Harvard: Greg Shapiro (coordinador), Mali Akmanalp, Katy Harris, Quinn Lee, Romain Vuillemot y Gus Wezerek. Asesor estad\u00edstico de Colombia: Marcela Eslava (Universidad de los Andes). Recopilaci\u00f3n y procesamiento de los datos de ofertas de empleo de Colombia: Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).", + "about.project_description_name": "Acerca de Datlas", + "census_year": "2014", + "country.show.ag_farmsize": "", + "country.show.dotplot-column": "Departamentos de Colombia", + "country.show.eci": "0,037", + "country.show.economic_structure": "Estructura econ\u00f3mica", + "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 48,1 millones (a mayo 2015), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2014 fue Col $756,1 billones, o US$377,9 miles de millones a la tasa de cambio promedio de 2014 (1 US d\u00f3lar = 2000,6 pesos colombianos). En 2014, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $15.864.953 o US$7.930. La tasa de crecimiento desde 2008 ha sido en promedio 4.3% (o 3.1% por persona). ", + "country.show.economic_structure.copy.p2": "Los servicios empresariales y financieros son el sector m\u00e1s grande, con una contribuci\u00f3n al PIB de 18,8%, seguidos por los servicios de gobierno, sociales y personales (16,5%) y las actividades manufactureras (11,2%). Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 24,7, 13,1 y 9,2%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", + "country.show.employment_wage_occupation": "Empleo formal, ocupaciones y salarios", + "country.show.employment_wage_occupation.copy.p1": "En 2014, aproximadamente 21,6 millones de personas fueron ocupadas en empleos formales o informales, con un leve aumento respecto al a\u00f1o anterior (21,1 millones). Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que 13,3 millones de personas estuvieron ocupadas en alg\u00fan momento en empleos formales en 2013. Teniendo en cuenta el n\u00famero de meses empleados, el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2013 fue 6,7 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 32,7, 16,7, and 10,7% del empleo formal (efectivo).", + "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2014.", + "country.show.export_complexity_possibilities": "Complejidad de las exportaciones y posibilidades de exportaci\u00f3n", + "country.show.export_complexity_possibilities.copy.p1": "El concepto de complejidad de las exportaciones es an\u00e1logo al de complejidad de los sectores sectorial presentado arriba, pero referido ahora a las exportaciones. Se mide mediante el \u00cdndice de Complejidad del Producto. Se ha comprobado que los pa\u00edses que exportan productos que son relativamente complejos con respecto a su nivel de desarrollo tienden a crecer m\u00e1s r\u00e1pido que los pa\u00edses que exportan bienes relativamente simples. Seg\u00fan la complejidad de su canasta exportadora en 2013, Colombia ocupa el puesto 53 entre 124 pa\u00edses. La tasa de crecimiento proyectada para Colombia con base en su complejidad y su nivel de desarrollo es 3,3% por a\u00f1o en el per\u00edodo 2013-2023.", + "country.show.export_complexity_possibilities.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los productos de exportaci\u00f3n\" (o mapa de los productos) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud tecnol\u00f3gica entre todos los productos de exportaci\u00f3n, seg\u00fan los patrones de exportaci\u00f3n de todos los pa\u00edses. Cada punto o nodo representa un producto; los nodos conectados entre s\u00ed requieren capacidades productivas semejantes. Los productos que est\u00e1n m\u00e1s conectados tienden a agruparse en el centro de la red, lo cual implica que las capacidades que ellos usan pueden ser utilizadas en la producci\u00f3n de muchos otros productos.", + "country.show.export_complexity_possibilities.copy.p3": "Los puntos que aparecen destacados representan productos que Colombia exporta en cantidades relativamente importantes (m\u00e1s exactamente, con ventaja comparativa revelada mayor de uno, v\u00e9ase el Glosario). Los colores representan grupos de productos (son los mismos colores usados para los sectores correspondientes en el mapa de similitud tecnol\u00f3gica presentado arriba). El gr\u00e1fico que aparece m\u00e1s abajo, junto con el cuadro que lo acompa\u00f1a, indica qu\u00e9 productos ofrecen las mejores posibilidades para Colombia, dadas las capacidades productivas que ya tiene el pa\u00eds y que tan \u2018distantes\u2019 son esas capacidades de las que requieren para exportar otras cosas. ", + "country.show.exports": "Exportaciones", + "country.show.exports.copy.p1": "Colombia export\u00f3 US$54,8 miles de millones en 2014, comparado con $58,8 miles de millones en 2013 y $60,1 miles de millones en 2012. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Venezuela, Ecuador y Per\u00fa. En 2014, los productos mineros (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 59,3% de las exportaciones totales de bienes; los productos manufacturados 35,6%, y los productos agr\u00edcolas 4,6%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", + "country.show.exports_composition_by_department": "Composici\u00f3n de las exportaciones por departamento ({{year}})", + "country.show.exports_composition_by_products": "Composici\u00f3n de las exportaciones ({{year}})", + "country.show.gdp": "Col $756,152 bill", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Complejidad de los sectores productivos", + "country.show.industry_complex.copy.p1": "La complejidad de los sectores productivos, que se cuantifica mediante el \u00cdndice de Complejidad del Sector, es una media de la amplitud de las capacidades y habilidades \u2013know-how\u2013 que se requiere en un sector productivo. Se dice que sectores tales como qu\u00edmicos o maquinaria son altamente complejos porque requieren un nivel sofisticado de conocimientos productivos que solo es factible encontrar en grandes empresas donde interact\u00faa un n\u00famero de individuos altamente capacitados. En contraste, sectores como el comercio minorista o restaurantes requieren solo niveles b\u00e1sicos de capacitaci\u00f3n que pueden encontrarse incluso en una peque\u00f1a empresa familiar. Los sectores m\u00e1s complejos son m\u00e1s productivos y contribuyen m\u00e1s a elevar el ingreso per c\u00e1pita. Los departamentos y ciudades con sectores m\u00e1s complejos tienen una base productiva m\u00e1s diversificada y tienden a crear m\u00e1s empleo formal.", + "country.show.industry_complex.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los sectores\" (o mapa de los sectores) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud de las capacidades y habilidades entre pares de sectores. Cada punto (o nodo) representa un sector; los nodos conectados por l\u00edneas requieren capacidades semejantes. Los sectores con m\u00e1s conexiones usan capacidades que pueden ser utilizadas en muchos otros sectores. Los colores representan grupos de sectores.", + "country.show.industry_space": "Mapa de los sectores", + "country.show.nonag_farmsize": "", + "country.show.occupation.num_vac": "Vacantes anunciadas (2014)", + "country.show.population": "48,1 millones", + "country.show.product_space": "Mapa de los productos", + "country.show.total": "Totales", + "ctas.csv": "CSV", + "ctas.download": "Descargue estos datos", + "ctas.embed": "Insertar", + "ctas.excel": "Excel", + "ctas.export": "Exportar", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Compartir", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ",", + "downloads.cta_download": "Descargar", + "downloads.cta_na": "No disponible", + "downloads.head": "Acerca de los datos", + "downloads.industry_copy": "La Planilla Integrada de Aportes Laborales, PILA, del Ministerio de Salud, es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector. La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). La lista de los sectores productivos puede verse en las bases de datos descargables de sectores. Puede descargarse aqu\u00ed un archivo con la lista de los sectores productivos del CIIU los cu\u00e1les no aparecen representados en el mapa de los sectores (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.industry_head": "Datos de sectores productivos (PILA)", + "downloads.industry_row_1": "Empleo, salarios, n\u00famero de empresas e indicadores de complejidad productiva ({{yearRange}})", + "downloads.list_of_cities.header": "Listas de departamentos, ciudades y municipios", + "downloads.map.cell": "Datos del mapa", + "downloads.map.header": "Mapa", + "downloads.occupations_copy": "Todos los datos sobre las ocupaciones (salarios ofrecidos por ocupaci\u00f3n y sector, y estructura ocupacional por sector) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos fueron procesados \u200b\u200bpor Jeisson Arley Rubio C\u00e1rdenas, investigador de la Universidad del Rosario, Bogot\u00e1, y Jaime Mauricio Monta\u00f1a Doncel, estudiante de maestr\u00eda en la Escuela de Econom\u00eda de Par\u00eds.", + "downloads.occupations_head": "Datos de ocupaciones", + "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2014)", + "downloads.other_copy": "El Departamento Administrativo Nacional de Estad\u00edstica, DANE, es la fuente de todos los datos sobre el PIB y la poblaci\u00f3n.", + "downloads.other_head": "Otros datos (DANE)", + "downloads.other_row_1": "PIB y variables demogr\u00e1ficas", + "downloads.thead_departments": "Departamentos", + "downloads.thead_met": "Ciudades", + "downloads.thead_muni": "Municipios", + "downloads.thead_national": "Nacional", + "downloads.trade_copy": "La fuente de todos los datos sobre las exportaciones e importaciones por departamento y municipio es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, DIAN. Colombia utiliza la nomenclatura arancelaria NANDINA, la cual calza a los seis d\u00edgitos con el Sistema Armonizado (SA) de clasificaci\u00f3n internacional de productos. Eso lo estandarizamos despu\u00e9s a SA (HS) 1992 para resolver cualquier inconsistencia entre las versiones a trav\u00e9s de los a\u00f1os, de manera tal que los datos se puedan visualizar en el tiempo. La lista de partidas arancelarias puede verse en las bases de datos descargables de exportaci\u00f3n e importaci\u00f3n.

El origen de las exportaciones se establece en dos etapas. Primero, se define el departamento de origen como es el \u00faltimo lugar donde tuvieron alg\u00fan procesamiento, ensamblaje o empaque, seg\u00fan la DIAN. Luego, se distribuyen los valores entre municipios seg\u00fan la composici\u00f3n del empleo de la firma correspondiente con base en la PILA (para las firmas sin esta informaci\u00f3n se asign\u00f3 el valor total a la capital del departamento). En el caso de las exportaciones de petr\u00f3leo (2709) y gas (2711), los valores totales se distribuyeron por origen seg\u00fan la producci\u00f3n por municipios (Agencia Nacional de Hidrocarburos y Asociaci\u00f3n Colombiana de Petr\u00f3leo) y en el caso de las exportaciones de refinados de petr\u00f3leo (2710) seg\u00fan el valor agregado por municipio (sectores 2231, 2322 y 2320 CIIU revisi\u00f3n 3, Encuesta Anual Manufacturera, DANE).

Los totales de exportaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las exportaciones sin informaci\u00f3n sobre el sector del exportador y/o el departamento o municipio de origen, y (b) las exportaciones que en los datos de la DIAN tienen como destino las zonas francas; mientras que quedan incluidas: (c) las exportaciones de las zonas francas, que la DIAN no incluye en dichos totales.

De forma semejante, los totales de importaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las importaciones sin informaci\u00f3n sobre el departamento o municipio de destino, y (b) las importaciones que en los datos de la DIAN tienen como origen las zonas francas; mientras que quedan incluidas: (c) las importaciones realizadas por las zonas francas, que la DIAN no incluye en dichos totales.

El archivo que describe la correspondencia entre la versi\u00f3n del Sistema Armonizado (HS) utilizado por la DIAN y su revisi\u00f3n de 1992 puede encontrarse aqu\u00ed.

Tambi\u00e9n puede descargarse aqu\u00ed un archivo con la lista de los productos del Sistema Armonizado los cu\u00e1les no aparecen representados en el mapa del producto (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.trade_head": "Datos de exportaciones e importaciones (DIAN)", + "downloads.trade_row_1": "Exportaciones, importaciones e indicadores de complejidad ({{yearRange}})", + "downloads.trade_row_2": "Exportaciones e importaciones con origen y destino ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Productos", + "general.geo": "Mapa geogr\u00e1fico", + "general.glossary": "Glosario", + "general.industries": "Sectores", + "general.industry": "sector", + "general.location": "lugar", + "general.locations": "Lugares", + "general.multiples": "Gr\u00e1ficos de \u00e1reas", + "general.occupation": "ocupaci\u00f3n", + "general.occupations": "Ocupaciones", + "general.product": "producto", + "general.scatter": "Gr\u00e1fico de dispersi\u00f3n", + "general.similarity": "mapa de los sectores", + "general.total": "Totales", + "general.treemap": "Gr\u00e1fico de composici\u00f3n", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glosario", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "", + "graph_builder.builder_mod_header.industry.cities.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.cities.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.departments.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.departments.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.locations.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.locations.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total de vacantes", + "graph_builder.builder_mod_header.landUse.departments.area": "", + "graph_builder.builder_mod_header.landUse.municipalities.area": "", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "", + "graph_builder.builder_mod_header.location.industries.employment": "Empleo total", + "graph_builder.builder_mod_header.location.industries.scatter": "Complejidad, distancia y valor estrat\u00e9gico de sectores potenciales ", + "graph_builder.builder_mod_header.location.industries.similarity": "Sectores con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.location.industries.wages": "Salarios totales", + "graph_builder.builder_mod_header.location.landUses.area": "", + "graph_builder.builder_mod_header.location.livestock.num_farms": "", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "", + "graph_builder.builder_mod_header.location.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.partners.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.products.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.scatter": "Complejidad, distancia y valor estrat\u00e9gico de exportaciones potenciales", + "graph_builder.builder_mod_header.location.products.similarity": "Exportaciones con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.product.cities.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.cities.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.departments.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.departments.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.partners.import_value": "Importaciones totales", + "graph_builder.builder_nav.header": "M\u00e1s gr\u00e1ficos para este {{entity}}", + "graph_builder.builder_nav.intro": "Seleccione una pregunta para ver el gr\u00e1fico correspondiente. Si en la pregunta faltan par\u00e1metros ({{icon}}), los podr\u00e1 llenar cuando haga click.", + "graph_builder.builder_questions.city": "Preguntas: ciudades", + "graph_builder.builder_questions.department": "Preguntas: departamentos", + "graph_builder.builder_questions.employment": "Preguntas: empleo", + "graph_builder.builder_questions.export": "Preguntas: exportaciones", + "graph_builder.builder_questions.import": "Preguntas: importaciones", + "graph_builder.builder_questions.industry": "Preguntas: sectores", + "graph_builder.builder_questions.landUse": "", + "graph_builder.builder_questions.location": "Preguntas: lugares", + "graph_builder.builder_questions.occupation": "Preguntas: ocupaciones", + "graph_builder.builder_questions.partner": "Preguntas: socios comerciales", + "graph_builder.builder_questions.product": "Preguntas: productos de exportaci\u00f3n", + "graph_builder.builder_questions.wage": "Preguntas: n\u00f3mina salarial", + "graph_builder.change_graph.geo_description": "Mapea los datos", + "graph_builder.change_graph.label": "Cambie el gr\u00e1fico", + "graph_builder.change_graph.multiples_description": "Muestra el crecimiento en varios per\u00edodos", + "graph_builder.change_graph.scatter_description": "Muestra la complejidad y la distancia", + "graph_builder.change_graph.similarity_description": "Presenta las ventajas comparativas reveladas", + "graph_builder.change_graph.treemap_description": "Muestra la descomposici\u00f3n en varios niveles", + "graph_builder.change_graph.unavailable": "Este gr\u00e1fico no est\u00e1 disponible para esta pregunta", + "graph_builder.download.agproduct": "", + "graph_builder.download.area": "", + "graph_builder.download.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.download.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.download.code": "C\u00f3digo", + "graph_builder.download.cog": "Valor estrat\u00e9gico", + "graph_builder.download.complexity": "Complejidad", + "graph_builder.download.distance": "Distancia", + "graph_builder.download.eci": "Complejidad exportadora", + "graph_builder.download.employment": "Empleo", + "graph_builder.download.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.download.export": "Exportaci\u00f3n", + "graph_builder.download.export_num_plants": "N\u00famero de empresas", + "graph_builder.download.export_rca": "Ventaja comparativa revelada", + "graph_builder.download.export_value": "Exportaciones, USD", + "graph_builder.download.farmtype": "", + "graph_builder.download.gdp_pc_real": "PIB per c\u00e1pita, Col $", + "graph_builder.download.gdp_real": "PIB, Col $", + "graph_builder.download.import_value": "Importaciones, USD", + "graph_builder.download.industry": "Sector", + "graph_builder.download.industry_eci": "Complejidad sectorial", + "graph_builder.download.land_harvested": "", + "graph_builder.download.land_sown": "", + "graph_builder.download.land_use": "", + "graph_builder.download.less_than_5": "Menos de 5", + "graph_builder.download.livestock": "", + "graph_builder.download.location": "Lugar", + "graph_builder.download.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.download.name": "Nombre", + "graph_builder.download.num_establishments": "N\u00famero de empresas", + "graph_builder.download.num_farms": "", + "graph_builder.download.num_livestock": "", + "graph_builder.download.num_vacancies": "Vacantes", + "graph_builder.download.occupation": "Ocupaci\u00f3n", + "graph_builder.download.parent": "Grupo", + "graph_builder.download.population": "Poblaci\u00f3n", + "graph_builder.download.production_tons": "", + "graph_builder.download.rca": "Ventaja comparativa revelada", + "graph_builder.download.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.download.wages": "N\u00f3mina salarial total, Col$ ", + "graph_builder.download.year": "A\u00f1o", + "graph_builder.download.yield_index": "", + "graph_builder.download.yield_ratio": "", + "graph_builder.explanation": "Explicaci\u00f3n", + "graph_builder.explanation.agproduct.departments.land_harvested": "", + "graph_builder.explanation.agproduct.departments.land_sown": "", + "graph_builder.explanation.agproduct.departments.production_tons": "", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "", + "graph_builder.explanation.agproduct.municipalities.land_sown": "", + "graph_builder.explanation.agproduct.municipalities.production_tons": "", + "graph_builder.explanation.hide": "Oculte", + "graph_builder.explanation.industry.cities.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.cities.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Muestra la composici\u00f3n de las vacantes anunciadas en sitios de Internet y los salarios ofrecidos.", + "graph_builder.explanation.landUse.departments.area": "", + "graph_builder.explanation.landUse.municipalities.area": "", + "graph_builder.explanation.location.agproducts.land_harvested": "", + "graph_builder.explanation.location.agproducts.land_sown": "", + "graph_builder.explanation.location.agproducts.production_tons": "", + "graph_builder.explanation.location.farmtypes.num_farms": "", + "graph_builder.explanation.location.industries.employment": "Muestra la composici\u00f3n sectorial del empleo formal del departamento. Fuente: PILA.", + "graph_builder.explanation.location.industries.scatter": "Cada punto representa un sector productivo. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del lugar en ese sector. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad sectorial y el eje horizontal es la distancia tecnol\u00f3gica para que el sector se desarrolle, dadas las capacidades que ya existen en el lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del sector para el lugar, es decir qu\u00e9 tanto puede contribuir el sector al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles en otros sectores. Los sectores m\u00e1s atractivos son los ubicados arriba y a la izquierda, especialmente si los puntos que los representan son grandes. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.similarity": "El mapa de similitud tecnol\u00f3gica de los sectores (o mapa de los sectores) muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores y otros. Cada punto representa un sector productivo y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Los puntos coloreados son sectores con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en el cuadro que sigue). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros sectores. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.wages": "Muestra la composici\u00f3n sectorial de la n\u00f3mina salarial del departamento o ciudad. Fuente: PILA.", + "graph_builder.explanation.location.landUses.area": "", + "graph_builder.explanation.location.livestock.num_farms": "", + "graph_builder.explanation.location.livestock.num_livestock": "", + "graph_builder.explanation.location.partners.export_value": "Muestra la composici\u00f3n de las exportaciones de este lugar por pa\u00eds de destino, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Muestra la composici\u00f3n de las importaciones de este lugar por pa\u00eds de origen, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.products.export_value": "Muestra la composici\u00f3n de las exportaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.import_value": "Muestra la composici\u00f3n de las importaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.scatter": "Cada punto representa un producto de exportaci\u00f3n. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del departamento o ciudad en ese producto. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad del producto y el eje horizontal es la distancia tecnol\u00f3gica para poder exportar un producto, dadas las capacidades que ya existen en el lugar. La l\u00ednea discontinua es el \u00edndice de complejidad sectorial promedio del lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del producto para el departamento o ciudad, es decir qu\u00e9 tanto puede contribuir el producto al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles para otras exportaciones. Las exportaciones m\u00e1s atractivas de desarrollar son las ubicadas arriba y a la izquierda, especialmente si los puntos que las representan son grandes. Fuente: c\u00e1lculos del CID con datos de la DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.location.products.similarity": "El mapa de similitud tecnol\u00f3gica de los productos (o mapa de los productos) muestra que tan similares son los conocimientos requeridos por unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Los puntos coloreados son exportaciones con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de productos (v\u00e9ase el cuadro). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros productos. Fuente: c\u00e1lculos del CID con datos de DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.product.cities.export_value": "Muestra la composici\u00f3n por ciudades de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Muestra la composici\u00f3n por ciudades de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Muestra la composici\u00f3n por departamentos de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Muestra la composici\u00f3n por departamentos de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Muestra el destino de las exportaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Muestra el origen de las importaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.show": "Muestre m\u00e1s", + "graph_builder.multiples.show_all": "Mostrar todo", + "graph_builder.page_title.agproduct.departments.land_harvested": "", + "graph_builder.page_title.agproduct.departments.land_sown": "", + "graph_builder.page_title.agproduct.departments.production_tons": "", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "", + "graph_builder.page_title.agproduct.municipalities.land_sown": "", + "graph_builder.page_title.agproduct.municipalities.production_tons": "", + "graph_builder.page_title.industry.cities.employment": "\u00bfQu\u00e9 ciudades en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.cities.wages": "\u00bfQu\u00e9 ciudades en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.departments.employment": "\u00bfQu\u00e9 departamentos en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.departments.wages": "\u00bfQu\u00e9 departamentos en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.occupations.num_vacancies": "\u00bfQu\u00e9 ocupaciones demanda este sector?", + "graph_builder.page_title.landUse.departments.area": "", + "graph_builder.page_title.landUse.municipalities.area": "", + "graph_builder.page_title.location.agproducts.land_harvested.country": "", + "graph_builder.page_title.location.agproducts.land_harvested.department": "", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "", + "graph_builder.page_title.location.agproducts.land_sown.country": "", + "graph_builder.page_title.location.agproducts.land_sown.department": "", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "", + "graph_builder.page_title.location.agproducts.production_tons.country": "", + "graph_builder.page_title.location.agproducts.production_tons.department": "", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "", + "graph_builder.page_title.location.destination_by_product.export_value.department": "\u00bfA qu\u00e9 pa\u00edses env\u00eda este departamento sus exportaciones de petr\u00f3leo?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "\u00bfDe qu\u00e9 pa\u00edses recibe este departamento sus importaciones de veh\u00edculos?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "", + "graph_builder.page_title.location.farmtypes.num_farms.department": "", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "", + "graph_builder.page_title.location.industries.employment.country": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en Colombia?", + "graph_builder.page_title.location.industries.employment.department": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este departamento?", + "graph_builder.page_title.location.industries.employment.msa": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en esta ciudad?", + "graph_builder.page_title.location.industries.employment.municipality": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este municipio?", + "graph_builder.page_title.location.industries.scatter.country": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este departamento?", + "graph_builder.page_title.location.industries.scatter.msa": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en esta ciudad?", + "graph_builder.page_title.location.industries.scatter.municipality": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este municipio?", + "graph_builder.page_title.location.industries.similarity.country": "\u00bfC\u00f3mo es el mapa de los sectores de Colombia?", + "graph_builder.page_title.location.industries.similarity.department": "\u00bfC\u00f3mo es el mapa de los sectores de este departamento?", + "graph_builder.page_title.location.industries.similarity.msa": "\u00bfC\u00f3mo es el mapa de los sectores de esta ciudad?", + "graph_builder.page_title.location.industries.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los sectores de este municipio?", + "graph_builder.page_title.location.industries.wages.country": "\u00bfQu\u00e9 sectores en Colombia tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.department": "\u00bfQu\u00e9 sectores en este departamento tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.msa": "\u00bfQu\u00e9 sectores en esta ciudad tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.municipality": "\u00bfQu\u00e9 sectores en este municipio tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.landUses.area.country": "", + "graph_builder.page_title.location.landUses.area.department": "", + "graph_builder.page_title.location.landUses.area.municipality": "", + "graph_builder.page_title.location.livestock.num_farms.country": "", + "graph_builder.page_title.location.livestock.num_farms.department": "", + "graph_builder.page_title.location.livestock.num_farms.municipality": "", + "graph_builder.page_title.location.livestock.num_livestock.country": "", + "graph_builder.page_title.location.livestock.num_livestock.department": "", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "", + "graph_builder.page_title.location.partners.export_value.country": "\u00bfA qu\u00e9 pa\u00edses exporta Colombia?", + "graph_builder.page_title.location.partners.export_value.department": "\u00bfA qu\u00e9 pa\u00edses exporta este departamento?", + "graph_builder.page_title.location.partners.export_value.msa": "\u00bfA qu\u00e9 pa\u00edses exporta esta ciudad?", + "graph_builder.page_title.location.partners.export_value.municipality": "\u00bfA qu\u00e9 pa\u00edses exporta este municipio?", + "graph_builder.page_title.location.partners.import_value.country": "\u00bfDe d\u00f3nde vienen las importaciones de Colombia?", + "graph_builder.page_title.location.partners.import_value.department": "\u00bfDe d\u00f3nde vienen las importaciones de este departamento?", + "graph_builder.page_title.location.partners.import_value.msa": "\u00bfDe d\u00f3nde vienen las importaciones de esta ciudad?", + "graph_builder.page_title.location.partners.import_value.municipality": "\u00bfDe d\u00f3nde vienen las importaciones de este municipio?", + "graph_builder.page_title.location.products.export_value.country": "\u00bfQu\u00e9 productos exporta Colombia?", + "graph_builder.page_title.location.products.export_value.department": "\u00bfQu\u00e9 productos exporta este departamento?", + "graph_builder.page_title.location.products.export_value.msa": "\u00bfQu\u00e9 productos exporta esta ciudad?", + "graph_builder.page_title.location.products.export_value.municipality": "\u00bfQu\u00e9 productos exporta este municipio?", + "graph_builder.page_title.location.products.import_value.country": "\u00bfQu\u00e9 productos importa Colombia?", + "graph_builder.page_title.location.products.import_value.department": "\u00bfQu\u00e9 productos importa este departamento?", + "graph_builder.page_title.location.products.import_value.msa": "\u00bfQu\u00e9 productos importa esta ciudad?", + "graph_builder.page_title.location.products.import_value.municipality": "\u00bfQu\u00e9 productos importa este municipio?", + "graph_builder.page_title.location.products.scatter.country": "\u00bfQu\u00e9 productos tienen el mayor potencial para Colombia?", + "graph_builder.page_title.location.products.scatter.department": "\u00bfQu\u00e9 productos tienen el mayor potencial para este departamento?", + "graph_builder.page_title.location.products.scatter.msa": "\u00bfQu\u00e9 productos tienen el mayor potencial para esta ciudad?", + "graph_builder.page_title.location.products.scatter.municipality": "\u00bfQu\u00e9 productos tienen el mayor potencial para este municipio?", + "graph_builder.page_title.location.products.similarity.country": "\u00bfC\u00f3mo es el mapa de los productos de Colombia?", + "graph_builder.page_title.location.products.similarity.department": "\u00bfC\u00f3mo es el mapa de los productos de este departamento?", + "graph_builder.page_title.location.products.similarity.msa": "\u00bfC\u00f3mo es el mapa de los productos de esta ciudad?", + "graph_builder.page_title.location.products.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los productos de este municipio?", + "graph_builder.page_title.product.cities.export_value": "\u00bfQu\u00e9 ciudades en Colombia exportan este producto?", + "graph_builder.page_title.product.cities.import_value": "\u00bfQu\u00e9 ciudades en Colombia importan este producto?", + "graph_builder.page_title.product.departments.export_value": "\u00bfQu\u00e9 departamentos en Colombia exportan este producto?", + "graph_builder.page_title.product.departments.import_value": "\u00bfQu\u00e9 departamentos en Colombia importan este producto?", + "graph_builder.page_title.product.partners.export_value": "\u00bfA d\u00f3nde exporta Colombia este producto?", + "graph_builder.page_title.product.partners.export_value.destination": "\u00bfA qu\u00e9 pa\u00edses env\u00eda {{location}} sus exportaciones de {{product}}?", + "graph_builder.page_title.product.partners.import_value": "\u00bfDe d\u00f3nde importa Colombia este producto?", + "graph_builder.page_title.product.partners.import_value.origin": "\u00bfDe qu\u00e9 pa\u00edses recibe {{location}} sus importaciones de {{product}}?", + "graph_builder.questions.label": "Cambiar pregunta", + "graph_builder.recirc.header.industry": "Lea el perfil de este sector", + "graph_builder.recirc.header.location": "Lea el perfil de este lugar", + "graph_builder.recirc.header.product": "Lea el perfil de este producto", + "graph_builder.search.placeholder.agproducts": "", + "graph_builder.search.placeholder.cities": "Destaque una ciudad en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.departments": "Destaque un departamento en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.farmtypes": "", + "graph_builder.search.placeholder.industries": "Destaque un sector en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.landUses": "", + "graph_builder.search.placeholder.livestock": "", + "graph_builder.search.placeholder.locations": "Destaque un lugar en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.municipalities": "", + "graph_builder.search.placeholder.occupations": "Destaque una ocupaci\u00f3n en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.partners": "Resaltar socios comerciales en la gr\u00e1fica inferior", + "graph_builder.search.placeholder.products": "Destaque un producto en el gr\u00e1fico siguiente", + "graph_builder.search.submit": "Destacar", + "graph_builder.settings.change_time": "Cambiar per\u00edodo", + "graph_builder.settings.close_settings": "Archive y cierre", + "graph_builder.settings.label": "Cambiar caracter\u00edsticas", + "graph_builder.settings.rca": "Ventaja comparativa revelada", + "graph_builder.settings.rca.all": "Todo", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "a", + "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year.next": "Siguiente", + "graph_builder.settings.year.previous": "Anterior", + "graph_builder.table.agproduct": "", + "graph_builder.table.area": "", + "graph_builder.table.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.table.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.table.code": "C\u00f3digo", + "graph_builder.table.cog": "Valor estrat\u00e9gico", + "graph_builder.table.coi": "Complejidad exportadora potencial", + "graph_builder.table.complexity": "Complejidad", + "graph_builder.table.country": "Pa\u00eds", + "graph_builder.table.distance": "Distancia", + "graph_builder.table.eci": "Complejidad exportadora", + "graph_builder.table.employment": "Empleo", + "graph_builder.table.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.table.export": "Exportaci\u00f3n", + "graph_builder.table.export_num_plants": "N\u00famero de empresas", + "graph_builder.table.export_rca": "Ventaja comparativa revelada", + "graph_builder.table.export_value": "Exportaciones, USD", + "graph_builder.table.farmtype": "", + "graph_builder.table.gdp_pc_real": "PIB per c\u00e1pita", + "graph_builder.table.gdp_real": "PIB", + "graph_builder.table.import_value": "Importaciones, USD", + "graph_builder.table.industry": "Sector", + "graph_builder.table.industry_coi": "Complejidad sectorial potencial", + "graph_builder.table.industry_eci": "Complejidad sectorial", + "graph_builder.table.land_harvested": "", + "graph_builder.table.land_sown": "", + "graph_builder.table.land_use": "", + "graph_builder.table.less_than_5": "Menos de 5", + "graph_builder.table.livestock": "", + "graph_builder.table.location": "Lugar", + "graph_builder.table.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.table.name": "Nombre", + "graph_builder.table.num_establishments": "N\u00famero de empresas", + "graph_builder.table.num_farms": "", + "graph_builder.table.num_livestock": "", + "graph_builder.table.num_vacancies": "Vacantes", + "graph_builder.table.occupation": "Ocupaci\u00f3n", + "graph_builder.table.parent": "Grupo", + "graph_builder.table.parent.country": "Regi\u00f3n", + "graph_builder.table.population": "Poblaci\u00f3n", + "graph_builder.table.production_tons": "", + "graph_builder.table.rca": "Ventaja comparativa revelada", + "graph_builder.table.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.table.share": "Participaci\u00f3n", + "graph_builder.table.wages": "N\u00f3mina salarial total, Col$ (miles)", + "graph_builder.table.year": "A\u00f1o", + "graph_builder.table.yield_index": "", + "graph_builder.table.yield_ratio": "", + "graph_builder.view_more": "Muestre m\u00e1s", + "header.destination": "Destino", + "header.destination_by_products": "Destinos por productos", + "header.employment": "Empleo", + "header.export": "Exportaciones", + "header.import": "Importaciones", + "header.industry": "Sectores", + "header.industry_potential": "Potencial", + "header.industry_space": "Mapa de los sectores ", + "header.landUse": "", + "header.land_harvested": "", + "header.land_sown": "", + "header.occupation": "Ocupaciones", + "header.occupation.available_jobs": "Vacantes anunciadas", + "header.origin": "Origen", + "header.origin_by_products": "Origen por productos", + "header.overview": "Resumen", + "header.partner": "Socios comerciales", + "header.product": "Productos ", + "header.product_potential": "Potencial", + "header.product_space": "Mapa de los productos", + "header.production_tons": "", + "header.region": "Por departamento", + "header.subregion": "Por ciudad", + "header.subsubregion": "", + "header.wage": "N\u00f3mina total", + "index.builder_cta": "Explore las gr\u00e1ficas sobre el caf\u00e9", + "index.builder_head": "Luego vaya al graficador", + "index.builder_subhead": "Haga sus propios gr\u00e1ficos y mapas", + "index.complexity_caption": "\u00bfQu\u00e9 tan bueno es este enfoque? Las predicciones de crecimiento basadas en la complejidad son seis veces m\u00e1s preocsas que las basadas en variables convencionales, como los \u00cdndice de Competitividad Mundial. ", + "index.complexity_cta": "Lea m\u00e1s sobre los conceptos de complejidad", + "index.complexity_figure.WEF_name": "\u00cdndice de Competitividad Mundial", + "index.complexity_figure.complexity_name": "\u00cdndice de complejidad econ\u00f3mica", + "index.complexity_figure.head": "Crecimiento econ\u00f3mico explicado (% de la varianza decenal)", + "index.complexity_head": "La ventaja de la complejidad", + "index.complexity_subhead": "Los pa\u00edses que exportan productos complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido que los que exportan materias primas. Usando los m\u00e9todos para medir y visualizar la complejidad desarrollados por la Universidad de Harvard, Datlas permite explorar las posibilidades productivas y de exportaci\u00f3n de los departamentos y ciudades colombianas.", + "index.country_profile": "Lea el perfil de Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.future_head": "Avizorando el futuro", + "index.future_subhead": "Los gr\u00e1ficos de dispersi\u00f3n y diagramas de redes permiten encontrar los sectores productivos que tienen las mejores posibilidades en un departamento o ciudad.", + "index.graphbuilder.id": "87", + "index.header_h1": "El Atlas Colombiano de Complejidad Econ\u00f3mica", + "index.header_head": "Colombia como usted nunca la ha visto", + "index.header_subhead": "Visualice las posibilidades de cualquier sector, cualquier producto de exportaci\u00f3n o cualquier lugar en Colombia.", + "index.industry_head": "Ent\u00e9rese de un sector", + "index.industry_q1": "\u00bfD\u00f3nde emplea m\u00e1s gente la industria qu\u00edmica en Colombia?", + "index.industry_q1.id": "461", + "index.industry_q2": "\u00bfQu\u00e9 ocupaciones demanda la industria qu\u00edmica?", + "index.industry_q2.id": "461", + "index.location_head": "Aprenda sobre un lugar", + "index.location_q1": "\u00bfQu\u00e9 sectores emplean m\u00e1s gente en Bogot\u00e1 Met?", + "index.location_q1.id": "41", + "index.location_q2": "\u00bfQu\u00e9 exportaciones tienen el mayor potencial en Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "Vea todas las preguntas", + "index.present_head": "Mapeando el presente", + "index.present_subhead": "Utilice nuestros diagramas de composici\u00f3n para estudiar las exportaciones o el empleo formal de su departamento, su ciudad o su municipio.", + "index.product_head": "Aprenda sobre un producto de exportaci\u00f3n", + "index.product_q1": "\u00bfQu\u00e9 lugares de Colombia exportan computadores?", + "index.product_q1.id": "1143", + "index.product_q2": "\u00bfQu\u00e9 lugares de Colombia importan computadores?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Lea el perfil de Antioquia", + "index.profiles_head": "Comience por los perfiles", + "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", + "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Investigaci\u00f3n mencionada en", + "industry.show.avg_wages": "Salarios promedio ({{year}})", + "industry.show.employment": "Empleo ({{year}})", + "industry.show.employment_and_wages": "Empleo formal y salarios", + "industry.show.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "industry.show.industries": "Sectores", + "industry.show.industry_composition": "Composici\u00f3n del sector ({{year}})", + "industry.show.occupation": "Ocupaciones", + "industry.show.occupation_demand": "Ocupaciones m\u00e1s demandadas en este sector, 2014", + "industry.show.value": "Valor", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "departamento", + "location.model.msa": "ciudad", + "location.model.municipality": "municipio", + "location.show.ag_farmsize": "", + "location.show.all_departments": "Comparaci\u00f3n con otros departamentos", + "location.show.all_regions": "En comparaci\u00f3n con los otros lugares", + "location.show.bullet.gdp_grow_rate": "La tasa de crecimiento del PIB en el per\u00edodo {{yearRange}} fue {{gdpGrowth}}, comparada con 5,3% para toda Colombia.", + "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$15,1 millones para toda Colombia en 2014.", + "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 46,3 millones de personas en todo el pa\u00eds en 2014.", + "location.show.eci": "Complejidad exportadora", + "location.show.employment": "Empleo total ({{lastYear}})", + "location.show.employment_and_wages": "Empleo formal y salarios", + "location.show.export_possiblities": "Posibilidades de exportaci\u00f3n", + "location.show.export_possiblities.footer": "Los productos indicados pueden no ser viables debido a condiciones del lugar que no se consideran en el an\u00e1lisis de similitud tecnol\u00f3gica.", + "location.show.export_possiblities.intro": "Hemos encontrado que los pa\u00edses que exportan productos m\u00e1s complejos crecen m\u00e1s r\u00e1pido. Usando el \"mapa del producto\" presentado arriba, estamos destacando productos de alto potencial para {{name}}, ordenados por las mejores combinaciones de complejidad actual y valor estrat\u00e9gico.", + "location.show.exports": "Exportaciones ({{year}})", + "location.show.exports_and_imports": "Exportaciones e importaciones", + "location.show.gdp": "PIB", + "location.show.gdp_pc": "PIB per c\u00e1pita", + "location.show.growth_annual": "Tasa de crecimiento ({{yearRange}})", + "location.show.imports": "Importaciones ({{year}})", + "location.show.nonag_farmsize": "", + "location.show.overview": "", + "location.show.population": "Poblaci\u00f3n", + "location.show.subregion.exports": "Composici\u00f3n de exportaciones por municipio ({{year}})", + "location.show.subregion.imports": "Composici\u00f3n de importaciones por municipio ({{year}})", + "location.show.subregion.title": "Exportaciones e importaciones por municipio", + "location.show.total_wages": "N\u00f3mina salarial ({{lastYear}})", + "location.show.value": "Valor", + "pageheader.about": "Acerca de Datlas", + "pageheader.alternative_title": "Atlas de complejidad econ\u00f3mica", + "pageheader.brand_slogan": "Colombia como usted nunca la ha visto", + "pageheader.download": "Acerca de los datos", + "pageheader.graph_builder_link": "Graficador", + "pageheader.profile_link": "Perfil", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Buscar", + "pageheader.search_placeholder": "Busque un lugar, producto o sector", + "pageheader.search_placeholder.industry": "Busque un sector", + "pageheader.search_placeholder.location": "Busque un lugar", + "pageheader.search_placeholder.product": "Busque un producto", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explicaci\u00f3n", + "rankings.intro.p": "Comparaci\u00f3n entre departamentos o ciudades", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Ciudades", + "rankings.section.departments": "Departamentos", + "rankings.table-title": "Posici\u00f3n", + "search.didnt_find": "\u00bfEncontr\u00f3 lo que buscaba? Nos interesa saber: Datlascolombia@bancoldex.com", + "search.header": "resultados", + "search.intro": "Busque el lugar, producto, sector u ocupaci\u00f3n que le interese", + "search.level.4digit": "Partida arancelaria (1992) a cuatro d\u00edgitos", + "search.level.class": "CIIU a cuatro d\u00edgitos", + "search.level.country": "Pa\u00eds", + "search.level.department": "Departamento", + "search.level.division": "CIIU a dos d\u00edgitos", + "search.level.msa": "Ciudad", + "search.level.municipality": "Municipio", + "search.level.parent.4digit": "Partida arancelaria (1992) a dos d\u00edgitos", + "search.level.parent.class": "CIIU a dos d\u00edgitos", + "search.level.parent.country": "Regi\u00f3n", + "search.placeholder": "Escriba aqu\u00ed para buscar lo que quiere", + "search.results_industries": "Sectores", + "search.results_locations": "Lugares", + "search.results_products": "Productos", + "table.export_data": "Descargar Datos", + "thousands_delimiter": "." +}; \ No newline at end of file diff --git a/app/locales/es-col/translations_2016.js b/app/locales/es-col/translations_2016.js new file mode 100644 index 00000000..6f4a721d --- /dev/null +++ b/app/locales/es-col/translations_2016.js @@ -0,0 +1,657 @@ +export default { + "abbr_billion": "mm", + "abbr_million": "millones", + "abbr_thousand": "miles", + "abbr_trillion": "bill", + "about.downloads.explanation.p1": "Descarque el documento que explica c\u00f3mo se calcula cada una de las variables de complejidad que utiliza Datlas.", + "about.downloads.explanation.title": "M\u00e9todos de c\u00e1lculo de las variables de complejidad", + "about.downloads.locations": "Listas de departmentos, ciudades (incluyendo \u00e1reas metropolitanas) y municipios", + "about.glossary": "

V\u00e9ase la p\u00e1gina \"Acerca de los datos\" para m\u00e1s informaci\u00f3n sobre fuentes, m\u00e9todos de c\u00e1lculo de las variables de complejidad y bases de datos descargables.

\u00c1reas metropolitanas

Un \u00e1rea metropolitana es la combinaci\u00f3n de dos o m\u00e1s municipios que est\u00e1n conectados a trav\u00e9s de flujos relativamente grandes de trabajadores (con independencia de su tama\u00f1o o contig\u00fcidad). Un municipio debe enviar al menos un 10% de sus trabajadores como viajeros diarios al resto de los municipios del \u00e1rea metropolitana para considerarse como parte de dicha \u00e1rea.

Con base en esta definici\u00f3n hay 19 \u00e1reas metropolitanas en Colombia, que comprenden 115 municipios. Las \u00e1reas metropolitanas resultantes son distintas de las oficiales. Se sigue la metodolog\u00eda de G. Duranton ( 2013): \"Delineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\" Wharton School, University of Pennsylvania.

Ciudades

Son las \u00e1reas metropolitanas y los municipios de m\u00e1s de 50.000 habitantes con al menos 75% de poblaci\u00f3n en la cabecera municipal. En total hay 62 ciudades (19 \u00e1reas metropolitanas que comprenden 115 municipios, m\u00e1s 43 ciudades de un solo municipio). El concepto de ciudad es relevante porque Datlas presenta indicadores de complejidad por departamento y por ciudad, pero no por municipio.

Complejidad

Complejidad es la diversidad y sofisticaci\u00f3n del \"know-how\" que se requiere para producir algo. El concepto de complejidad es central en Datlas porque la productividad y el crecimiento de cualquier lugar dependen de que las empresas puedan producir y exportar con \u00e9xito bienes y servicios que requieren capacidades y conocimientos m\u00e1s complejos, es decir m\u00e1s diversos y exclusivos. La complejidad puede medirse para un lugar, para un producto de exportaci\u00f3n, o para un sector.

Complejidad potencial de un lugar

Mide el potencial de aumento de la complejidad de un lugar. Tiene en cuenta el nivel de complejidad de todos los sectores productivos (o productos de exportaci\u00f3n), junto con la \"distancia\" a los dem\u00e1s sectores (o productos). Con esta informaci\u00f3n mide la probabilidad de que aparezcan nuevos sectores (o exportaciones) y qu\u00e9 tanto elevar\u00edan la complejidad del lugar. Valores m\u00e1s altos indican que es m\u00e1s probable desarrollar nuevos sectores (o productos) m\u00e1s complejos que los que ya se tienen.

La complejidad potencial basada en sectores se calcula para los departamentos y ciudades, no para los dem\u00e1s municipios. La complejidad potencial basada en las exportaciones se calcula solamente por departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

DANE

DANE es el Departamento Administrativo Nacional de Estad\u00edstica de Colombia, fuente de todos los datos sobre el PIB y la poblaci\u00f3n que utiliza Datlas.

DIAN

DIAN es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, fuente de toda la informaci\u00f3n sobre exportaciones e importaciones de Datlas.

Distancia a un sector o exportaci\u00f3n en un lugar

La \"distancia\" es una medida de la capacidad de un lugar para desarrollar un sector o una exportaci\u00f3n espec\u00edfica, teniendo en cuenta las capacidades productivas existentes. La \"distancia\" es menor en la medida en que las capacidades requeridas por un sector o exportaci\u00f3n son m\u00e1s similares a las ya existentes. En esa medida ser\u00e1n mayores las posibilidades de que desarrolle con \u00e9xito el sector o exportaci\u00f3n. Visto de otra forma, la distancia refleja la proporci\u00f3n del conocimiento productivo que se necesita para que aparezca un sector o exportaci\u00f3n que a\u00fan no existe en el lugar.

Las distancias por sectores productivos se calculan solamente para los departamentos y ciudades, no para los dem\u00e1s municipios. Las distancias para las exportaciones se calculan solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Diversidad

Es una medida de cu\u00e1ntos productos diferentes puede hacer un lugar. La producci\u00f3n de un bien cualquiera requiere un conjunto espec\u00edfico de capacidades; por consiguiente la diversidad es otra forma de expresar la cantidad de conocimiento productivo de un lugar.

Empleo, salarios y tasa de empleo formal

El empleo formal es aquel que est\u00e1 cubierto por el sistema de seguridad social en salud y/o por el sistema de pensiones. No incluye trabajadores independientes. El empleo formal reportado es el n\u00famero de empleados formales en un mes promedio. La tasa de formalidad es el empleo formal dividido por la poblaci\u00f3n mayor de 15 a\u00f1os. Los datos de empleo y salarios provienen de la PILA del Ministerio de Salud. Los datos de poblaci\u00f3n son del DANE.

Empresas, n\u00famero de

El conteo de empresas con actividad productiva por lugar (municipio, departamento, nacional) se hizo teniendo en cuenta todas aquellas empresas registradas en la PILA que hicieron alg\u00fan aporte a la seguridad social para sus empleados en el a\u00f1o de referencia (aunque no hayan estado en operaci\u00f3n todo el a\u00f1o).

El conteo de empresas exportadoras o importadoras se hizo por municipio y producto teniendo en cuenta cualquier empresa que seg\u00fan la DIAN hubiera realizado alguna operaci\u00f3n en el a\u00f1o de referencia (por consiguiente, el conteo de empresas exportadoras o importadoras de un producto por departamento o para todo el pa\u00eds puede tener duplicaciones).

\u00cdndice de Complejidad del Producto (ICP)

Ordena los productos de exportaci\u00f3n seg\u00fan qu\u00e9 tantas capacidades productivas se requieren para su fabricaci\u00f3n. Productos complejos de exportaci\u00f3n, tales como qu\u00edmicos y maquinaria, requieren un nivel sofisticado y diverso de conocimientos que s\u00f3lo se consigue con la interacci\u00f3n en empresas de muchos individuos con conocimientos especializados. Esto contrasta con las exportaciones de baja complejidad, como el caf\u00e9, que requieren apenas conocimientos productivos b\u00e1sicos que se pueden reunir en una empresa familiar. Para calcular la complejidad de los productos de exportaci\u00f3n se utilizan datos de Comtrade de las Naciones Unidas para cerca de 200 pa\u00edses.

\u00cdndice de Complejidad Econ\u00f3mica (ICE)

Una medida de la sofisticaci\u00f3n de las capacidades productivas de un lugar basada en la diversidad y la ubicuidad de sus sectores productivos o sus exportaciones. Un lugar con alta complejidad produce o exporta bienes y servicios que pocos otros lugares producen. Lugares altamente complejos tienden a ser m\u00e1s productivos y a generar mayores salarios e ingresos. Los pa\u00edses con canastas de exportaci\u00f3n m\u00e1s sofisticadas de lo que se espera para su nivel de ingresos (como China) tienden a crecer m\u00e1s r\u00e1pido que aquellos en los que es todo lo contrario (como Grecia).

El ICE basado en los sectores productivos (o \u00edndice de complejidad productiva) se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. La ICE basado en las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la estructura de las exportaciones es inestable y/o poco representativa).

\u00cdndice de Complejidad del Sector (ICS)

Es una medida de qu\u00e9 tantas capacidades productivas requieren un sector para operar. El ICS y el \u00cdndice de Complejidad del Producto (ICP) son medidas estrechamente relacionadas, pero se calculan en forma separada con datos y sistemas de clasificaci\u00f3n independientes, ya que la complejidad del producto se calcula solo para mercanc\u00edas comercializables internacionalmente, mientras que los sectores productivos comprenden todos los sectores que generan empleo, incluidos todos los servicios y el sector p\u00fablico. Un sector es complejo si requiere un nivel sofisticado de conocimientos productivos, como los servicios financieros y los sectores farmac\u00e9uticos, en donde trabajan en grandes empresas muchos individuos con conocimientos especializados distintos. La complejidad de un sector se mide calculando la diversidad promedio de los lugares donde existe el sector y la ubicuidad promedio de los sectores de esos lugares. Los datos de empleo formal necesarios para estos c\u00e1lculos provienen de la PILA del Ministerio de Salud.

\u00cdndices de rendimiento

Un \u00edndice de rendimiento (para cualquier producto y ubicaci\u00f3n) es el rendimiento dividido por el rendimiento a nivel nacional. Los \u00edndices de rendimiento para m\u00e1s de un producto (por ubicaci\u00f3n) se calculan como el promedio ponderado de los \u00edndices de rendimiento de los productos, donde las ponderaciones son el \u00e1rea cosechada por cada producto.

Mapa de similitud tecnol\u00f3gica de productos de exportaci\u00f3n (o mapa de los productos)

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos para la exportaci\u00f3n de unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Aparecen con color los productos de exportaci\u00f3n que se exportan con ventaja comparativa revelada mayor que uno. Cuando se selecciona un producto, el gr\u00e1fico destaca los productos que requieren capacidades productivas semejantes. Un producto con m\u00e1s enlaces con otros que no se exportan ofrece mayor potencial para la diversificaci\u00f3n exportadora a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el producto tiene un alto potencial para elevar la complejidad del lugar.

El mapa de similitud de los productos se basa en los datos de comercio internacional de 192 pa\u00edses en m\u00e1s de 50 a\u00f1os compilados por Comtrade. Ver http://atlas.cid.harvard.edu/.

Mapa de similitud de los sectores productivos de Colombia

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores u otros. Cada punto representa un sector y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Aparecen con color los sectores con ventaja comparativa revelada mayor que uno. Cuando se selecciona un lugar, el gr\u00e1fico destaca los sectores que requieren capacidades productivas semejantes. Un sector con m\u00e1s enlaces con sectores que no existen ofrece mayor potencial para la diversificaci\u00f3n productiva a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el sector tiene un alto potencial para elevar la complejidad del lugar. El mapa de los sectores productivos de Colombia fue construido a partir de la informaci\u00f3n de empleo formal por municipio de la PILA del Ministerio de Salud.

Ocupaciones

Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos sobre las ocupaciones (salarios ofrecidos, estructura ocupacional por sector y nivel educativo por ocupaci\u00f3n) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Los datos fueron procesados por Jeisson Arley Rubio C\u00e1rdenas (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Escuela de Econom\u00eda de Par\u00eds).

PILA

PILA es la Planilla Integrada de Aportes Laborales del Ministerio de Salud. Es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector.

Productos de exportaci\u00f3n e importaci\u00f3n: sistema de clasificaci\u00f3n

El sistema de clasificaci\u00f3n de los productos de exportaci\u00f3n e importaci\u00f3n de Datlas es la nomenclatura arancelaria NABANDINA, la cual calza a seis d\u00edgitos con la clasificaci\u00f3n internacional del Sistema Armonizado (SA). Datlas presenta informaci\u00f3n de productos (de exportaci\u00f3n e importaci\u00f3n) a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la DIAN.

Rendimiento

Para cualquier producto y ubicaci\u00f3n, la productividad del suelo es el rendimiento en toneladas por hect\u00e1rea de tierra cosechada. Para los cultivos transitorios el c\u00e1lculo de producci\u00f3n anual se obtiene a partir de la suma de la producci\u00f3n del \u00faltimo semestre del a\u00f1o anterior y el primer semestre del a\u00f1o de an\u00e1lisis; en contraste, para los cultivos permanentes (perennes) el c\u00e1lculo se realiza con la informaci\u00f3n de ambos semestres del a\u00f1o de an\u00e1lisis. La informaci\u00f3n de \u00e1rea cosechada y producci\u00f3n se obtiene de las Evaluaciones Agropecuarias Municipales -EVA- publicadas en Agronet por el Ministerio de Agricultura y Desarrollo Rural.

Sectores productivos: sistema de clasificaci\u00f3n

La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). Datlas presenta informaci\u00f3n sectorial a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la PILA. Siguiendo las convenciones de la contabilidad nacional, los trabajadores contratados por agencias de empleo temporal se clasifican en el sector de suministro de personal (7491), no en el sector de la empresa donde prestan servicios.

Ubicuidad

Una medida del n\u00famero de lugares que pueden producir un producto.

UPAs y UPNAs

Las unidades de producci\u00f3n rural se clasifican seg\u00fan el Censo Nacional Agropecuario del DANE (2014) en \"unidades de producci\u00f3n agropecuaria\", o UPAs, y \"unidades de producci\u00f3n no agropecuarias\", o UPNAs. Mientras que la producci\u00f3n agropecuaria (que incluye actividades agr\u00edcolas, forestales, pecuarias, acu\u00edcolas y/o pesqueras) s\u00f3lo puede tener lugar en UPAs, tanto UPAs como UPNAs pueden tener actividades de producci\u00f3n no agropecuarias.

Valor estrat\u00e9gico de un sector o una exportaci\u00f3n para un lugar

Capta en qu\u00e9 medida un lugar podr\u00eda beneficiarse mediante el desarrollo de un sector en particular (o un producto de exportaci\u00f3n). Tambi\u00e9n conocida como \"ganancia de oportunidad\", esta medida representa la distancia a todos los otros sectores (o exportaciones) que un lugar no produce actualmente con ventaja comparativa revelada mayor que uno y su respectiva complejidad. Refleja c\u00f3mo un nuevo sector (o exportaci\u00f3n) puede abrir paso a otros sectores o productos m\u00e1s complejos. El valor estrat\u00e9gico de los sectores productivos se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. El valor estrat\u00e9gico de las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Ventaja Comparativa Revelada (VCR) de un sector o una exportaci\u00f3n en un lugar

Mide el tama\u00f1o relativo de un sector o un producto de exportaci\u00f3n en un lugar. La VCR, que no debe interpretarse como un indicador de eficiencia productiva o de competitividad, se conoce tambi\u00e9n por el nombre de \"cociente de localizaci\u00f3n\". Se calcula como el cociente entre la participaci\u00f3n del empleo formal de un sector en el lugar y la participaci\u00f3n del empleo formal total del mismo sector en todo el pa\u00eds. Por ejemplo, si la industria qu\u00edmica en una ciudad genera el 10% del empleo, mientras que en todo el pa\u00eds genera el 1% del empleo, la VCR de la industria qu\u00edmica en dicha ciudad es 10. Para una exportaci\u00f3n es la relaci\u00f3n entre la participaci\u00f3n que tiene el producto en la canasta de exportaci\u00f3n del lugar y la participaci\u00f3n que tiene en el comercio mundial. Si esta relaci\u00f3n es mayor que 1, se dice que el lugar tiene ventaja comparativa revelada en el sector o en la exportaci\u00f3n. Por ejemplo, si el caf\u00e9 representa el 30% de las exportaciones de un departamento colombiano, pero da cuenta apenas del 0.3% del comercio mundial, entonces la VCR del departamento en caf\u00e9 es 100.

", + "about.glossary_name": "Glosario", + "about.project_description.cid.header": "El CID y el Laboratorio de Crecimiento ", + "about.project_description.cid.p1": "Este proyecto ha sido desarrollado por el Centro para el Desarrollo Internacional de la Universidad de Harvard (CID), bajo la direcci\u00f3n del profesor Ricardo Hausmann", + "about.project_description.cid.p2": "El CID tiene por objetivos avanzar en la comprensi\u00f3n de los desaf\u00edos del desarrollo y ofrecer soluciones viables para reducir la pobreza mundial. El Laboratorio de Crecimiento es uno de los principales programas de investigaci\u00f3n del CID.", + "about.project_description.contact.header": "Informaci\u00f3n de contacto", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex, el banco de desarrollo empresarial de Colombia, est\u00e1 comprometido con el desarrollo de instrumentos financieros y no financieros orientados a mejorar la competitividad, la productividad, el crecimiento y la internacionalizaci\u00f3n de las empresas colombianas. Aprovechando su posici\u00f3n de mercado y su capacidad para establecer relaciones empresariales, Banc\u00f3ldex gestiona activos financieros, desarrolla soluciones de acceso a la financiaci\u00f3n y ofrece soluciones de capital innovadoras que fomentan y aceleran el crecimiento empresarial. Adem\u00e1s de ofrecer pr\u00e9stamos tradicionales, Banc\u00f3ldex ha sido designado para ejecutar varios programas de desarrollo tales como el Programa de Transformaci\u00f3n Productiva, iNNpulsa Colombia, iNNpulsa Mipyme y la Banca de las Oportunidades. Todos ellos conforman una oferta integrada de servicios para promover el entorno empresarial colombiano y la competitividad. Datlas es parte del Programa de Transformaci\u00f3n Productiva y la iniciativas INNpulsa Colombia.", + "about.project_description.founder2.header": "Departamento Nacional de Planeaci\u00f3n", + "about.project_description.founder2.p": "Departamento Nacional de Planeaci\u00f3n - DNP es un Departamento Administrativo que pertenece a la Rama Ejecutiva del poder p\u00fablico y depende directamente de la Presidencia de la Rep\u00fablica. Es una entidad eminentemente t\u00e9cnica que impulsa la implantaci\u00f3n de una visi\u00f3n estrat\u00e9gica del pa\u00eds en los campos social, econ\u00f3mico y ambiental, a trav\u00e9s del dise\u00f1o, la orientaci\u00f3n y evaluaci\u00f3n de las pol\u00edticas p\u00fablicas colombianas, el manejo y asignaci\u00f3n de la inversi\u00f3n p\u00fablica y la concreci\u00f3n de las mismas en planes, programas y proyectos del Gobierno.", + "about.project_description.founder3.header": "Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.founder3.p": "Creada en 1953, la Fundaci\u00f3n Mario Santo Domingo (FMSD) es una organizaci\u00f3n sin fines de lucro dedicada a la implementaci\u00f3n de programas de desarrollo comunitario en Colombia. FMSD concentra sus principales esfuerzos en la construcci\u00f3n de viviendas asequibles dentro de un modelo de desarrollo comunitario llamado Desarrollo Integral de Comunidades Sustentables, dise\u00f1ado por el FMSD como respuesta al gran d\u00e9ficit de vivienda en Colombia. A trav\u00e9s de este programa, el FMSD proporciona apoyo social a las familias, as\u00ed como infraestructura social y urbana para los menos privilegiados. FMSD tambi\u00e9n contribuye al desarrollo empresarial de la regi\u00f3n Norte de Colombia y de Bogot\u00e1 a trav\u00e9s de su Unidad de Microfinanzas, que ofrece capacitaci\u00f3n y servicios financieros como el microcr\u00e9dito. M\u00e1s de 130.000 empresarios han recibido pr\u00e9stamos de la Fundaci\u00f3n desde su lanzamiento en 1984. FMSD tambi\u00e9n trabaja en identificar alianzas y sinergias entre los sectores p\u00fablico y privado en las \u00e1reas de desarrollo social cr\u00edticos, como la primera infancia, la sostenibilidad ambiental, la atenci\u00f3n de desastres, la educaci\u00f3n y la salud.", + "about.project_description.founders.header": "Entidades Patrocinadoras", + "about.project_description.founders.p": "Este proyecto es financiado por Banc\u00f3ldex y la Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.github": "Revise nuestro c\u00f3digo", + "about.project_description.intro.p1": "En Colombia, las diferencias de ingresos entre regiones son enormes y han ido creciendo: las nuevas oportunidades de empleo se concentran cada vez m\u00e1s en las \u00e1reas metropolitanas de Bogot\u00e1, Medell\u00edn y Cali, aparte de los lugares donde se extraen petr\u00f3leo y otros minerales. El ingreso promedio de los residentes de Bogot\u00e1 es cuatro veces el de los colombianos que viven en los 12 departamentos m\u00e1s pobres.", + "about.project_description.intro.p2": "Datlas es una herramienta de diagn\u00f3stico para que las empresas, los inversionistas y las autoridades de gobierno puedan tomar decisiones que ayuden a elevar la productividad. Contiene informaci\u00f3n por departamento, \u00e1rea metropolitana y municipio sobre actividad productiva, empleo, salarios y exportaciones. Ofrece criterios para identificar los sectores y las exportaciones con potencial de crecimiento con base en la complejidad econ\u00f3mica.", + "about.project_description.intro.p3": "La complejidad econ\u00f3mica es una medida de las capacidades y conocimientos de los sectores productivos de un pa\u00eds o una ciudad. Para hacer una camisa, hay que dise\u00f1arla, producir la tela, cortar, coser, empacar el producto, comercializarlo y distribuirlo. Para que un pa\u00eds pueda producir camisas, necesita personas que tengan experiencia en cada una de estas \u00e1reas. Cada una de estas tareas implica muchas m\u00e1s capacidades de las que cualquier persona sola puede dominar. S\u00f3lo mediante la combinaci\u00f3n de know-how de diferentes personas puede hacerse el producto. El camino hacia el desarrollo econ\u00f3mico consiste en aprender a hacer cosas m\u00e1s sofisticadas. El juego de Scrabble puede servir de analog\u00eda: el jugador que tiene un mayor n\u00famero de letras variadas puede hacer m\u00e1s palabras y conseguir m\u00e1s puntos. Los pa\u00edses con una mayor diversidad de capacidades productivas pueden hacer una mayor diversidad de productos. El desarrollo econ\u00f3mico ocurre en la medida en que el pa\u00eds o la ciudad adquiere m\u00e1s capacidades y conocimientos para producir productos cada vez m\u00e1s complejos.", + "about.project_description.intro.p4": "Este enfoque conceptual que ha sido aplicado a nivel internacional en el Atlas de la Complejidad Econ\u00f3mica se utiliza ahora en esta herramienta en l\u00ednea para identificar las posibilidades de exportaci\u00f3n y de desarrollo sectorial de los departamentos, las \u00e1reas metropolitanas y las ciudades colombianas.", + "about.project_description.letter.header": "Bolet\u00edn de Estudios del CID", + "about.project_description.letter.p": "Inscr\u00edbase al Bolet\u00edn de Estudios del CID para mantenerse al d\u00eda con los avances de la investigaci\u00f3n y las herramientas pr\u00e1cticas en temas relacionados con la complejidad.", + "about.project_description.team.header": "El equipo acad\u00e9mico y t\u00e9cnico", + "about.project_description.team.p": "El equipo acad\u00e9mico de CID de Harvard estuvo compuesto por Ricardo Hausmann (director), Andr\u00e9s G\u00f3mez-Li\u00e9vano, Eduardo Lora y Sid Ravinutala. En fases anteriores fueron parte del equipo acad\u00e9mico Tim Cheston, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery y Juan T\u00e9llez. El equipo de programaci\u00f3n y visualizaci\u00f3n de CID de Harvard: Annie White (coordinator) and Mali Akmanalp. En fases anteriores fueron parte del equipo de programaci\u00f3n y visualizaci\u00f3n Katy Harris, Quinn Lee, Greg Shapiro, Romain Vuillemot and Gus Wezerek. La recopilaci\u00f3n y procesamiento de los datos de vacantes laborales estuvo a cargo de Jeisson Arley C\u00e1rdenas Rubio (Institute for Employment Research \u2013IER, University of Warwick) y Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics). Actualizaciones Gustavo Montes y Oscar Hern\u00e1ndez (Banc\u00f3ldex).", + "about.project_description_name": "Acerca de Datlas", + "census_year": "2014", + "country.show.ag_farmsize": "45.99 ha", + "country.show.agproducts": "Toneladas Producidas Por Cultivo en Colombia", + "country.show.agproducts.production_tons": "Producci\u00f3n (toneladas)", + "country.show.average_livestock_load": "628", + "country.show.dotplot-column": "Departamentos de Colombia", + "country.show.eci": "0,037", + "country.show.economic_structure": "Estructura econ\u00f3mica", + "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 49,5 millones (a diciembre 2017), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2016 fue Col $772,4 billones, o US$253,2 miles de millones a la tasa de cambio promedio de 2016 (1 US d\u00f3lar = 3.050 pesos colombianos). En 2016, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $17.798.353 o US$5.806. Durante el a\u00f1o 2016 la econom\u00eda colombiana creci\u00f3 2%.", + "country.show.economic_structure.copy.p2": "Los servicios empresariales y financieros son el sector m\u00e1s grande, con una contribuci\u00f3n al PIB de 20,9%, seguidos por los servicios de gobierno, sociales y personales (15,4%) y las actividades manufactureras (11,2%). Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 25,7, 13,9 y 9,7%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", + "country.show.employment_wage_occupation": "Empleo formal, ocupaciones y salarios", + "country.show.employment_wage_occupation.copy.p1": "Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2016 fue 8,2 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 31,7%, 17,1%, and 10,8% del empleo formal (efectivo).", + "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2014.", + "country.show.export_complexity_possibilities": "Complejidad de las exportaciones y posibilidades de exportaci\u00f3n", + "country.show.export_complexity_possibilities.copy.p1": "El concepto de complejidad de las exportaciones es an\u00e1logo al de complejidad de los sectores sectorial presentado arriba, pero referido ahora a las exportaciones. Se mide mediante el \u00cdndice de Complejidad del Producto. Se ha comprobado que los pa\u00edses que exportan productos que son relativamente complejos con respecto a su nivel de desarrollo tienden a crecer m\u00e1s r\u00e1pido que los pa\u00edses que exportan bienes relativamente simples. Seg\u00fan la complejidad de su canasta exportadora en 2013, Colombia ocupa el puesto 53 entre 124 pa\u00edses. La tasa de crecimiento proyectada para Colombia con base en su complejidad y su nivel de desarrollo es 3,3% por a\u00f1o en el per\u00edodo 2013-2023.", + "country.show.export_complexity_possibilities.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los productos de exportaci\u00f3n\" (o mapa de los productos) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud tecnol\u00f3gica entre todos los productos de exportaci\u00f3n, seg\u00fan los patrones de exportaci\u00f3n de todos los pa\u00edses. Cada punto o nodo representa un producto; los nodos conectados entre s\u00ed requieren capacidades productivas semejantes. Los productos que est\u00e1n m\u00e1s conectados tienden a agruparse en el centro de la red, lo cual implica que las capacidades que ellos usan pueden ser utilizadas en la producci\u00f3n de muchos otros productos.", + "country.show.export_complexity_possibilities.copy.p3": "Los puntos que aparecen destacados representan productos que Colombia exporta en cantidades relativamente importantes (m\u00e1s exactamente, con ventaja comparativa revelada mayor de uno, v\u00e9ase el Glosario). Los colores representan grupos de productos (son los mismos colores usados para los sectores correspondientes en el mapa de similitud tecnol\u00f3gica presentado arriba). El gr\u00e1fico que aparece m\u00e1s abajo, junto con el cuadro que lo acompa\u00f1a, indica qu\u00e9 productos ofrecen las mejores posibilidades para Colombia, dadas las capacidades productivas que ya tiene el pa\u00eds y que tan \u2018distantes\u2019 son esas capacidades de las que requieren para exportar otras cosas. ", + "country.show.exports": "Exportaciones", + "country.show.exports.copy.p1": "Colombia export\u00f3 US$32,5 miles de millones en 2016. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Panam\u00e1, China y Espa\u00f1a. En 2016, los productos minerales (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 51,7% de las exportaciones totales de bienes; los productos vegetales, alimentos y maderas 22,57%, y los quimicos y pl\u00e1sticos 9,78%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", + "country.show.exports_composition_by_department": "Composici\u00f3n de las exportaciones por departamento ({{year}})", + "country.show.exports_composition_by_products": "Composici\u00f3n de las exportaciones ({{year}})", + "country.show.gdp": "Col $756,152 bill", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Complejidad de los sectores productivos", + "country.show.industry_complex.copy.p1": "La complejidad de los sectores productivos, que se cuantifica mediante el \u00cdndice de Complejidad del Sector, es una media de la amplitud de las capacidades y habilidades \u2013know-how\u2013 que se requiere en un sector productivo. Se dice que sectores tales como qu\u00edmicos o maquinaria son altamente complejos porque requieren un nivel sofisticado de conocimientos productivos que solo es factible encontrar en grandes empresas donde interact\u00faa un n\u00famero de individuos altamente capacitados. En contraste, sectores como el comercio minorista o restaurantes requieren solo niveles b\u00e1sicos de capacitaci\u00f3n que pueden encontrarse incluso en una peque\u00f1a empresa familiar. Los sectores m\u00e1s complejos son m\u00e1s productivos y contribuyen m\u00e1s a elevar el ingreso per c\u00e1pita. Los departamentos y ciudades con sectores m\u00e1s complejos tienen una base productiva m\u00e1s diversificada y tienden a crear m\u00e1s empleo formal.", + "country.show.industry_complex.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los sectores\" (o mapa de los sectores) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud de las capacidades y habilidades entre pares de sectores. Cada punto (o nodo) representa un sector; los nodos conectados por l\u00edneas requieren capacidades semejantes. Los sectores con m\u00e1s conexiones usan capacidades que pueden ser utilizadas en muchos otros sectores. Los colores representan grupos de sectores.", + "country.show.industry_space": "Mapa de los sectores", + "country.show.landuses": "Uso del Suelo en Colombia", + "country.show.landuses.area": "\u00c1rea Total (ha)", + "country.show.nonag_farmsize": "4.53 ha", + "country.show.occupation.num_vac": "Vacantes anunciadas", + "country.show.population": "48,1 mill", + "country.show.product_space": "Mapa de los productos", + "country.show.total": "Totales", + "ctas.csv": "CSV", + "ctas.download": "Descargue estos datos", + "ctas.embed": "Insertar", + "ctas.excel": "Excel", + "ctas.export": "Exportar", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Compartir", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ",", + "downloads.cta_download": "Descargar", + "downloads.cta_na": "No disponible", + "downloads.head": "Acerca de los datos", + "downloads.industry_copy": "La Planilla Integrada de Aportes Laborales, PILA, del Ministerio de Salud, es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector. La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). La lista de los sectores productivos puede verse en las bases de datos descargables de sectores. Puede descargarse aqu\u00ed un archivo con la lista de los sectores productivos del CIIU los cu\u00e1les no aparecen representados en el mapa de los sectores (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.industry_head": "Datos de sectores productivos (PILA)", + "downloads.industry_row_1": "Empleo, salarios, n\u00famero de empresas e indicadores de complejidad productiva ({{yearRange}})", + "downloads.list_of_cities.header": "Listas de departamentos, ciudades y municipios", + "downloads.map.cell": "Datos del mapa", + "downloads.map.header": "Mapa", + "downloads.occupations_copy": "Todos los datos sobre las ocupaciones (salarios ofrecidos por ocupaci\u00f3n y sector, y estructura ocupacional por sector) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos fueron procesados \u200b\u200bpor Jeisson Arley Rubio C\u00e1rdenas, investigador de la Universidad del Rosario, Bogot\u00e1, y Jaime Mauricio Monta\u00f1a Doncel, estudiante de maestr\u00eda en la Escuela de Econom\u00eda de Par\u00eds.", + "downloads.occupations_head": "Datos de ocupaciones", + "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2014)", + "downloads.other_copy": "El Departamento Administrativo Nacional de Estad\u00edstica, DANE, es la fuente de todos los datos sobre el PIB y la poblaci\u00f3n.", + "downloads.other_head": "Otros datos (DANE)", + "downloads.other_row_1": "PIB y variables demogr\u00e1ficas", + "downloads.rural_agproduct": "Productos Agropecuarios", + "downloads.rural_copy": "

Se utilizan dos fuentes de datos: el Censo Nacional Agropecuario del DANE (2014) y la informaci\u00f3n publicada en la plataforma Agronet del Ministerio de Agricultura y Desarrollo Rural (2017).

La clasificaci\u00f3n del uso del suelo y la informaci\u00f3n de hect\u00e1reas (1 hect\u00e1rea = 10.000 metros cuadrados) provienen del Censo Nacional Agropecuario (CNA). Las unidades de producci\u00f3n agropecuaria se clasifican seg\u00fan el CNA en \"Unidades de Producci\u00f3n Agropecuaria\", o UPAs, y \"Unidades de Producci\u00f3n No Agropecuaria\", o UPNAs. Mientras que la producci\u00f3n agropecuaria (que incluye cultivos y ganado) s\u00f3lo puede tener lugar en las UPAs, tanto las UPAs como las UPNAs pueden tener actividades de producci\u00f3n no agropecuaria. La clasificaci\u00f3n de las actividades de producci\u00f3n no agropecuaria proviene del Censo y no coincide con la clasificaci\u00f3n CIIU utilizada para los sectores productivos. UPAs y UPNAs pueden ser informales (no registradas como empresas).

La informaci\u00f3n de los cultivos, que proviene del Ministerio de Agricultura y Desarrollo Rural, es para los a\u00f1os agr\u00edcolas 2008-2015 (un a\u00f1o agr\u00edcola, para un cultivo transitorio, corresponde al segundo semestre del a\u00f1o anterior y el primer semestre del a\u00f1o correspondiente). El \u00e1rea sembrada y el \u00e1rea cosechada se miden en t\u00e9rminos de hect\u00e1reas y la producci\u00f3n se mide t\u00e9rminos de toneladas m\u00e9tricas (en todos los casos, sumando los dos semestres del a\u00f1o agr\u00edcola). La productividad de la tierra (para cualquier producto y lugar) es el rendimiento en t\u00e9rminos de toneladas por hect\u00e1rea cosechada. Un \u00edndice de rendimiento (para cualquier producto y lugar) es el rendimiento dividido por el rendimiento a nivel nacional. Los \u00edndices de rendimiento para m\u00e1s de un producto (por lugar) se calculan como el promedio ponderado de los \u00edndices de rendimiento de los productos, donde los pesos son el \u00e1rea cosechada que corresponde a cada producto.

Es importante tener en cuenta que la informaci\u00f3n presentada en esta secci\u00f3n para ca\u00f1a azucarera corresponde al rendimiento (ton/ha) de material verde y no al de az\u00facar. Esto resulta debido a que existe una relaci\u00f3n de aproximadamente 10 toneladas de material verde por cada tonelada de az\u00facar.

", + "downloads.rural_farmsize": "Tama\u00f1o de UPA ", + "downloads.rural_farmtype": "Tipo de UPA", + "downloads.rural_head": "Datos rurales", + "downloads.rural_landuse": "Usos del suelo ", + "downloads.rural_livestock": "Especies Pecuarias", + "downloads.rural_nonag": "Actividades no agropecuarias", + "downloads.thead_departments": "Departamentos", + "downloads.thead_met": "Ciudades", + "downloads.thead_muni": "Municipios", + "downloads.thead_national": "Nacional", + "downloads.trade_copy": "La fuente de todos los datos sobre las exportaciones e importaciones por departamento y municipio es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, DIAN. Colombia utiliza la nomenclatura arancelaria NANDINA, la cual calza a los seis d\u00edgitos con el Sistema Armonizado (SA) de clasificaci\u00f3n internacional de productos. Eso lo estandarizamos despu\u00e9s a SA (HS) 1992 para resolver cualquier inconsistencia entre las versiones a trav\u00e9s de los a\u00f1os, de manera tal que los datos se puedan visualizar en el tiempo. La lista de partidas arancelarias puede verse en las bases de datos descargables de exportaci\u00f3n e importaci\u00f3n.

El origen de las exportaciones se establece en dos etapas. Primero, se define el departamento de origen como es el \u00faltimo lugar donde tuvieron alg\u00fan procesamiento, ensamblaje o empaque, seg\u00fan la DIAN. Luego, se distribuyen los valores entre municipios seg\u00fan la composici\u00f3n del empleo de la firma correspondiente con base en la PILA (para las firmas sin esta informaci\u00f3n se asign\u00f3 el valor total a la capital del departamento). En el caso de las exportaciones de petr\u00f3leo (2709) y gas (2711), los valores totales se distribuyeron por origen seg\u00fan la producci\u00f3n por municipios (Agencia Nacional de Hidrocarburos y Asociaci\u00f3n Colombiana de Petr\u00f3leo) y en el caso de las exportaciones de refinados de petr\u00f3leo (2710) seg\u00fan el valor agregado por municipio (sectores 2231, 2322 y 2320 CIIU revisi\u00f3n 3, Encuesta Anual Manufacturera, DANE).

Los totales de exportaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las exportaciones sin informaci\u00f3n sobre el sector del exportador y/o el departamento o municipio de origen, y (b) las exportaciones que en los datos de la DIAN tienen como destino las zonas francas; mientras que quedan incluidas: (c) las exportaciones de las zonas francas, que la DIAN no incluye en dichos totales.

De forma semejante, los totales de importaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las importaciones sin informaci\u00f3n sobre el departamento o municipio de destino, y (b) las importaciones que en los datos de la DIAN tienen como origen las zonas francas; mientras que quedan incluidas: (c) las importaciones realizadas por las zonas francas, que la DIAN no incluye en dichos totales.

El archivo que describe la correspondencia entre la versi\u00f3n del Sistema Armonizado (HS) utilizado por la DIAN y su revisi\u00f3n de 1992 puede encontrarse aqu\u00ed.

Tambi\u00e9n puede descargarse aqu\u00ed un archivo con la lista de los productos del Sistema Armonizado los cu\u00e1les no aparecen representados en el mapa del producto (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.trade_head": "Datos de exportaciones e importaciones (DIAN)", + "downloads.trade_row_1": "Exportaciones, importaciones e indicadores de complejidad ({{yearRange}})", + "downloads.trade_row_2": "Exportaciones e importaciones con origen y destino ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Productos", + "general.geo": "Mapa geogr\u00e1fico", + "general.glossary": "Glosario", + "general.industries": "Sectores", + "general.industry": "sector", + "general.location": "lugar", + "general.locations": "Lugares", + "general.multiples": "Gr\u00e1ficos de \u00e1reas", + "general.occupation": "ocupaci\u00f3n", + "general.occupations": "Ocupaciones", + "general.product": "producto", + "general.scatter": "Gr\u00e1fico de dispersi\u00f3n", + "general.similarity": "mapa de los sectores", + "general.total": "Totales", + "general.treemap": "Gr\u00e1fico de composici\u00f3n", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glosario", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "\u00c1rea cosechada (ha)", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "\u00c1rea sembrada (ha)", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "Producci\u00f3n (toneladas)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "\u00c1rea cosechada (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "\u00c1rea sembrada (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "Producci\u00f3n (toneladas)", + "graph_builder.builder_mod_header.industry.cities.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Salarios mensuales promedio", + "graph_builder.builder_mod_header.industry.cities.wages": "N\u00f3mina salarial", + "graph_builder.builder_mod_header.industry.departments.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Salarios mensuales promedio", + "graph_builder.builder_mod_header.industry.departments.wages": "N\u00f3mina salarial", + "graph_builder.builder_mod_header.industry.locations.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Salarios mensuales promedio", + "graph_builder.builder_mod_header.industry.locations.wages": "N\u00f3mina salarial", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total de vacantes", + "graph_builder.builder_mod_header.landUse.departments.area": "\u00c1rea total", + "graph_builder.builder_mod_header.landUse.municipalities.area": "\u00c1rea total", + "graph_builder.builder_mod_header.livestock.departments.num_farms": "N\u00famero de UPAs", + "graph_builder.builder_mod_header.livestock.departments.num_livestock": "N\u00famero de cabezas de ganado", + "graph_builder.builder_mod_header.livestock.municipalities.num_farms": "N\u00famero de UPAs", + "graph_builder.builder_mod_header.livestock.municipalities.num_livestock": "N\u00famero de cabezas de ganado", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "\u00c1rea cosechada (hect\u00e1reas)", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "\u00c1rea sembrada (hect\u00e1reas)", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "Producci\u00f3n (toneladas)", + "graph_builder.builder_mod_header.location.agproducts.yield_ratio": "Productividad (tons/ha)", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "UPAs y UPNAs", + "graph_builder.builder_mod_header.location.industries.employment": "Empleo total", + "graph_builder.builder_mod_header.location.industries.scatter": "Complejidad, distancia y valor estrat\u00e9gico de sectores potenciales ", + "graph_builder.builder_mod_header.location.industries.similarity": "Sectores con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.location.industries.wages": "Salarios totales", + "graph_builder.builder_mod_header.location.landUses.area": "\u00c1rea total", + "graph_builder.builder_mod_header.location.livestock.num_farms": "N\u00famero de UPAs ganaderas", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "N\u00famero de animales", + "graph_builder.builder_mod_header.location.nonags.num_farms": "N\u00famero de UPNAs", + "graph_builder.builder_mod_header.location.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.partners.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.products.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.scatter": "Complejidad, distancia y valor estrat\u00e9gico de exportaciones potenciales", + "graph_builder.builder_mod_header.location.products.similarity": "Exportaciones con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.nonag.departments.num_farms": "N\u00famero de UPNAs", + "graph_builder.builder_mod_header.nonag.municipalities.num_farms": "N\u00famero de UPNAs", + "graph_builder.builder_mod_header.product.cities.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.cities.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.departments.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.departments.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.partners.import_value": "Importaciones totales", + "graph_builder.builder_nav.header": "M\u00e1s gr\u00e1ficos para este {{entity}}", + "graph_builder.builder_nav.intro": "Seleccione una pregunta para ver el gr\u00e1fico correspondiente. Si en la pregunta faltan par\u00e1metros ({{icon}}), los podr\u00e1 llenar cuando haga click.", + "graph_builder.builder_questions.city": "Preguntas: Ciudades", + "graph_builder.builder_questions.department": "Preguntas: Departamentos", + "graph_builder.builder_questions.employment": "Preguntas: Empleo", + "graph_builder.builder_questions.export": "Preguntas: Exportaciones", + "graph_builder.builder_questions.import": "Preguntas: Importaciones", + "graph_builder.builder_questions.industry": "Preguntas: Sectores", + "graph_builder.builder_questions.landUse": "Preguntas: Usos del suelo", + "graph_builder.builder_questions.land_harvested": "Preguntas: \u00c1rea cosechada", + "graph_builder.builder_questions.land_sown": "Preguntas: \u00c1rea sembrada", + "graph_builder.builder_questions.livestock_num_farms": "Preguntas: N\u00famero de UPAs", + "graph_builder.builder_questions.livestock_num_livestock": "Preguntas: N\u00famero de cabezas de ganado", + "graph_builder.builder_questions.location": "Preguntas: Lugares", + "graph_builder.builder_questions.nonag": "Preguntas: Actividades no agropecuarias", + "graph_builder.builder_questions.occupation": "Preguntas: Ocupaciones", + "graph_builder.builder_questions.partner": "Preguntas: Socios Comerciales", + "graph_builder.builder_questions.product": "Preguntas: Productos de Exportaci\u00f3n", + "graph_builder.builder_questions.production_tons": "Preguntas: Producci\u00f3n", + "graph_builder.builder_questions.rural": "Preguntas: Actividades Rurales", + "graph_builder.builder_questions.wage": "Preguntas: N\u00f3mina Salarial", + "graph_builder.change_graph.geo_description": "Mapea los datos", + "graph_builder.change_graph.label": "Cambie el gr\u00e1fico", + "graph_builder.change_graph.multiples_description": "Muestra la evoluci\u00f3n en varios per\u00edodos", + "graph_builder.change_graph.scatter_description": "Muestra la complejidad y la distancia", + "graph_builder.change_graph.similarity_description": "Presenta las ventajas comparativas reveladas", + "graph_builder.change_graph.treemap_description": "Muestra la descomposici\u00f3n en varios niveles", + "graph_builder.change_graph.unavailable": "Este gr\u00e1fico no est\u00e1 disponible para esta pregunta", + "graph_builder.download.agproduct": "Producto Agropecuario", + "graph_builder.download.area": "\u00c1rea ", + "graph_builder.download.average_livestock_load": "", + "graph_builder.download.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.download.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.download.code": "C\u00f3digo", + "graph_builder.download.cog": "Valor estrat\u00e9gico", + "graph_builder.download.complexity": "Complejidad", + "graph_builder.download.distance": "Distancia", + "graph_builder.download.eci": "Complejidad exportadora", + "graph_builder.download.employment": "Empleo", + "graph_builder.download.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.download.export": "Exportaci\u00f3n", + "graph_builder.download.export_num_plants": "N\u00famero de empresas", + "graph_builder.download.export_rca": "Ventaja comparativa revelada", + "graph_builder.download.export_value": "Exportaciones, USD", + "graph_builder.download.farmtype": "Tipo de UPA", + "graph_builder.download.gdp_pc_real": "PIB per c\u00e1pita, Col $", + "graph_builder.download.gdp_real": "PIB, Col $", + "graph_builder.download.import_value": "Importaciones, USD", + "graph_builder.download.industry": "Sector", + "graph_builder.download.industry_eci": "Complejidad sectorial", + "graph_builder.download.land_harvested": "\u00c1rea cosechada (ha)", + "graph_builder.download.land_sown": "\u00c1rea sembrada (ha)", + "graph_builder.download.land_use": "Usos del suelo", + "graph_builder.download.less_than_5": "Menos de 5", + "graph_builder.download.livestock": "Especie Pecuaria", + "graph_builder.download.location": "Lugar", + "graph_builder.download.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.download.name": "Nombre", + "graph_builder.download.num_establishments": "N\u00famero de empresas", + "graph_builder.download.num_farms": "N\u00famero de Unidades de Producci\u00f3n", + "graph_builder.download.num_farms_ag": "N\u00famero de UPAs ", + "graph_builder.download.num_farms_nonag": "N\u00famero de UPNAs", + "graph_builder.download.num_livestock": "N\u00famero de cabezas de ganado", + "graph_builder.download.num_vacancies": "Vacantes", + "graph_builder.download.occupation": "Ocupaci\u00f3n", + "graph_builder.download.parent": "Grupo", + "graph_builder.download.population": "Poblaci\u00f3n", + "graph_builder.download.production_tons": "Producci\u00f3n (toneladas)", + "graph_builder.download.rca": "Ventaja comparativa revelada", + "graph_builder.download.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.download.wages": "N\u00f3mina salarial total, Col$ ", + "graph_builder.download.year": "A\u00f1o", + "graph_builder.download.yield_index": "\u00cdndice de Rendimiento de Cultivos", + "graph_builder.download.yield_ratio": "Rendimiento de los Cultivos (tons/ha)", + "graph_builder.explanation": "Explicaci\u00f3n", + "graph_builder.explanation.agproduct.departments.land_harvested": "Muestra la composici\u00f3n de lugares que cosechan este producto agropecuario, por \u00e1rea cosechada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.land_sown": "Muestra la composici\u00f3n de lugares que siembran este producto agropecuario, por \u00e1rea sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.production_tons": "Muestra la composici\u00f3n de lugares que producen este producto agropecuario, por toneladas producidas. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "Muestra la composici\u00f3n de lugares que siembran este producto agropecuario, por \u00e1rea sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_sown": "Muestra la composici\u00f3n de lugares que siembran este producto agropecuario, por \u00e1rea sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.production_tons": "Muestra la composici\u00f3n de lugares que producen este producto agropecuario, por toneladas producidas. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.hide": "Oculte", + "graph_builder.explanation.industry.cities.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.cities.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Muestra la composici\u00f3n de las vacantes anunciadas en sitios de Internet y los salarios ofrecidos.", + "graph_builder.explanation.landUse.departments.area": "Muestra la composici\u00f3n de lugares en donde se usa el suelo espec\u00edficamente de esta manera, por \u00e1rea. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.landUse.municipalities.area": "Muestra la composici\u00f3n de lugares en donde se usa el suelo espec\u00edficamente de esta manera, por \u00e1rea. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.livestock.departments.num_farms": "Muestra la composici\u00f3n de localizaciones para esta especie pecuaria, por n\u00famero de UPAs. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.livestock.departments.num_livestock": "Muestra la composici\u00f3n de localizaciones para esta especie pecuaria, por n\u00famero de cabezas de ganado. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.livestock.municipalities.num_farms": "Muestra la composici\u00f3n de localizaciones para esta especie pecuaria, por n\u00famero de UPAs. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.livestock.municipalities.num_livestock": "Muestra la composici\u00f3n de localizaciones para esta especie pecuaria, por n\u00famero de cabezas de ganado. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.agproducts.land_harvested": "Muestra la composici\u00f3n de productos agropecuarios en esta localizaci\u00f3n, por \u00e1rea de \u00e1rea cosechada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.land_sown": "Muestra la composici\u00f3n de productos agropecuarios en esta localizaci\u00f3n, por \u00e1rea de \u00e1rea sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.production_tons": "Muestra la composici\u00f3n de productos agropecuarios en esta localizaci\u00f3n, por peso. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.yield_ratio": "Muestra el rendimiento de la tierra cosechada por producto en las UPAs de este lugar. Fuente: Agronet (2017), Ministerio de Agricultura. Link Informaci\u00f3n acerca de ca\u00f1a de az\u00facar: Es importante tener en cuenta que la informaci\u00f3n presentada en esta secci\u00f3n para ca\u00f1a azucarera corresponde al rendimiento (ton/ha) de material verde y no al de az\u00facar. Esto resulta debido a que existe una relaci\u00f3n de aproximadamente 10 toneladas de material verde por cada tonelada de az\u00facar.", + "graph_builder.explanation.location.farmtypes.num_farms": "Muestra la composici\u00f3n de UPAs en esta localizaci\u00f3n, por tipo de UPA. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.industries.employment": "Muestra la composici\u00f3n sectorial del empleo formal del departamento. Fuente: PILA.", + "graph_builder.explanation.location.industries.scatter": "Cada punto representa un sector productivo. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del lugar en ese sector. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad sectorial y el eje horizontal es la distancia tecnol\u00f3gica para que el sector se desarrolle, dadas las capacidades que ya existen en el lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del sector para el lugar, es decir qu\u00e9 tanto puede contribuir el sector al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles en otros sectores. Los sectores m\u00e1s atractivos son los ubicados arriba y a la izquierda, especialmente si los puntos que los representan son grandes. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.similarity": "El mapa de similitud tecnol\u00f3gica de los sectores (o mapa de los sectores) muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores y otros. Cada punto representa un sector productivo y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Los puntos coloreados son sectores con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en el cuadro que sigue). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros sectores. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.wages": "Muestra la composici\u00f3n sectorial de la n\u00f3mina salarial del departamento o ciudad. Fuente: PILA.", + "graph_builder.explanation.location.landUses.area": "Muestra la composici\u00f3n de usos del suelo en esta localizaci\u00f3n, por \u00e1rea. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.livestock.num_farms": "Muestra la composici\u00f3n de especies pecuarias en esta localizaci\u00f3n, por n\u00famero de UPAs. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.livestock.num_livestock": "Muestra la composici\u00f3n de especies pecuarias en esta localizaci\u00f3n, por n\u00famero de UPAs. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.nonags.num_farms": "Muestra la composici\u00f3n de actividades no agropecuarias realizadas en este lugar por el n\u00famero de UPAs que las realizan. Fuente: CNA", + "graph_builder.explanation.location.partners.export_value": "Muestra la composici\u00f3n de las exportaciones de este lugar por pa\u00eds de destino, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Muestra la composici\u00f3n de las importaciones de este lugar por pa\u00eds de origen, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.products.export_value": "Muestra la composici\u00f3n de las exportaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.import_value": "Muestra la composici\u00f3n de las importaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.scatter": "Cada punto representa un producto de exportaci\u00f3n. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del departamento o ciudad en ese producto. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad del producto y el eje horizontal es la distancia tecnol\u00f3gica para poder exportar un producto, dadas las capacidades que ya existen en el lugar. La l\u00ednea discontinua es el \u00edndice de complejidad sectorial promedio del lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del producto para el departamento o ciudad, es decir qu\u00e9 tanto puede contribuir el producto al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles para otras exportaciones. Las exportaciones m\u00e1s atractivas de desarrollar son las ubicadas arriba y a la izquierda, especialmente si los puntos que las representan son grandes. Fuente: c\u00e1lculos del CID con datos de la DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.location.products.similarity": "El mapa de similitud tecnol\u00f3gica de los productos (o mapa de los productos) muestra que tan similares son los conocimientos requeridos por unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Los puntos coloreados son exportaciones con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de productos (v\u00e9ase el cuadro). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros productos. Fuente: c\u00e1lculos del CID con datos de DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.nonag.departments.num_farms": "Muestra la composici\u00f3n de lugares que realizan esta actividad no agropecuaria por n\u00famero de UPAs que la realizan. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.nonag.municipalities.num_farms": "Muestra la composici\u00f3n de lugares que siembran este producto agr\u00edcola por \u00e1rea\u00a0sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.product.cities.export_value": "Muestra la composici\u00f3n por ciudades de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Muestra la composici\u00f3n por ciudades de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Muestra la composici\u00f3n por departamentos de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Muestra la composici\u00f3n por departamentos de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Muestra el destino de las exportaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Muestra el origen de las importaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.show": "Muestre m\u00e1s", + "graph_builder.multiples.show_all": "Mostrar todo", + "graph_builder.page_title.agproduct.departments.land_harvested": "\u00bfQu\u00e9 departamentos cosechan este producto agropecuario?", + "graph_builder.page_title.agproduct.departments.land_sown": "\u00bfQu\u00e9 departamentos siembran este producto agropecuario?", + "graph_builder.page_title.agproduct.departments.production_tons": "\u00bfQu\u00e9 departamentos producen este producto agropecuario?", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "\u00bfQu\u00e9 municipios cosechan este producto agropecuario?", + "graph_builder.page_title.agproduct.municipalities.land_sown": "\u00bfQu\u00e9 municipios siembran este producto agropecuario?", + "graph_builder.page_title.agproduct.municipalities.production_tons": "\u00bfQu\u00e9 municipios producen este producto agropecuario?", + "graph_builder.page_title.industry.cities.employment": "\u00bfQu\u00e9 ciudades en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.cities.wages": "\u00bfQu\u00e9 ciudades en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.departments.employment": "\u00bfQu\u00e9 departamentos en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.departments.wages": "\u00bfQu\u00e9 departamentos en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.occupations.num_vacancies": "\u00bfQu\u00e9 ocupaciones demanda este sector?", + "graph_builder.page_title.landUse.departments.area": "\u00bfQu\u00e9 departamentos tienen este uso del suelo?", + "graph_builder.page_title.landUse.municipalities.area": "\u00bfQu\u00e9 departamentos tienen este uso del suelo?", + "graph_builder.page_title.livestock.departments.num_farms": "\u00bfCu\u00e1ntas UPAs cr\u00edan esta especie pecuaria en cada departamento?", + "graph_builder.page_title.livestock.departments.num_livestock": "\u00bfCu\u00e1ntos animales de esta especie pecuaria se cr\u00edan en cada departamento?", + "graph_builder.page_title.livestock.municipalities.num_farms": "\u00bfCu\u00e1ntas UPAs cr\u00edan esta especie pecuaria en cada municipio?", + "graph_builder.page_title.livestock.municipalities.num_livestock": "\u00bfCu\u00e1ntos animales de esta especie pecuaria se cr\u00edan en cada municipio?", + "graph_builder.page_title.location.agproducts.land_harvested.country": "\u00bfCu\u00e1ntas hect\u00e1reas cosechadas por cultivo hay en Colombia?", + "graph_builder.page_title.location.agproducts.land_harvested.department": "\u00bfCu\u00e1ntas hect\u00e1reas cosechadas por cultivo hay en este departamento?", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "\u00bfCu\u00e1ntas hect\u00e1reas cosechadas por cultivo hay en este municipio?", + "graph_builder.page_title.location.agproducts.land_sown.country": "\u00bfCu\u00e1ntas hect\u00e1reas sembradas por cultivo hay en Colombia?", + "graph_builder.page_title.location.agproducts.land_sown.department": "\u00bfCu\u00e1ntas hect\u00e1reas sembradas por cultivo hay en este departamento?", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "\u00bfCu\u00e1ntas hect\u00e1reas sembradas por cultivo hay en este municipio?", + "graph_builder.page_title.location.agproducts.production_tons.country": "\u00bfCu\u00e1ntas toneladas se producen por cultivo en Colombia?", + "graph_builder.page_title.location.agproducts.production_tons.department": "\u00bfCu\u00e1ntas toneladas se producen por cultivo en este departamento?", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "\u00bfCu\u00e1ntas toneladas se producen por cultivo en este municipio?", + "graph_builder.page_title.location.agproducts.yield_ratio.country": "\u00bfCu\u00e1nto es el rendimiento (ton/ha) de los cultivos en Colombia?", + "graph_builder.page_title.location.agproducts.yield_ratio.department": "\u00bfCu\u00e1nto es el rendimiento (ton/ha) de los cultivos en este departamento?", + "graph_builder.page_title.location.agproducts.yield_ratio.municipality": "\u00bfCu\u00e1nto es el rendimiento (ton/ha) de los cultivos en este municipio?", + "graph_builder.page_title.location.destination_by_product.export_value.department": "\u00bfA qu\u00e9 pa\u00edses env\u00eda este departamento sus exportaciones de petr\u00f3leo?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "\u00bfDe qu\u00e9 pa\u00edses recibe este departamento sus importaciones de veh\u00edculos?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "\u00bfCu\u00e1ntas Unidades de Produccion Agropecuaria (UPAs) y no Agropecuaria (UPNAs) hay en Colombia?", + "graph_builder.page_title.location.farmtypes.num_farms.department": "\u00bfCu\u00e1ntas Unidades de Produccion Agropecuaria (UPAs) y no Agropecuaria (UPNAs) hay en este departamento?", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "\u00bfCu\u00e1ntas Unidades de Produccion Agropecuaria (UPAs) y no Agropecuaria (UPNAs) hay en este municipio?", + "graph_builder.page_title.location.industries.employment.country": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en Colombia?", + "graph_builder.page_title.location.industries.employment.department": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este departamento?", + "graph_builder.page_title.location.industries.employment.msa": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en esta ciudad?", + "graph_builder.page_title.location.industries.employment.municipality": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este municipio?", + "graph_builder.page_title.location.industries.scatter.country": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este departamento?", + "graph_builder.page_title.location.industries.scatter.msa": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en esta ciudad?", + "graph_builder.page_title.location.industries.scatter.municipality": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este municipio?", + "graph_builder.page_title.location.industries.similarity.country": "\u00bfC\u00f3mo es el mapa de los sectores de Colombia?", + "graph_builder.page_title.location.industries.similarity.department": "\u00bfC\u00f3mo es el mapa de los sectores de este departamento?", + "graph_builder.page_title.location.industries.similarity.msa": "\u00bfC\u00f3mo es el mapa de los sectores de esta ciudad?", + "graph_builder.page_title.location.industries.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los sectores de este municipio?", + "graph_builder.page_title.location.industries.wages.country": "\u00bfQu\u00e9 sectores en Colombia tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.department": "\u00bfQu\u00e9 sectores en este departamento tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.msa": "\u00bfQu\u00e9 sectores en esta ciudad tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.municipality": "\u00bfQu\u00e9 sectores en este municipio tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.landUses.area.country": "\u00bfC\u00f3mo se usa el suelo en Colombia?", + "graph_builder.page_title.location.landUses.area.department": "\u00bfC\u00f3mo se usa el suelo en este departamento?", + "graph_builder.page_title.location.landUses.area.municipality": "\u00bfC\u00f3mo se usa el suelo en este municipio?", + "graph_builder.page_title.location.livestock.num_farms.country": "\u00bfCu\u00e1ntas UPAs realizan actividad pecuaria seg\u00fan especie?", + "graph_builder.page_title.location.livestock.num_farms.department": "\u00bfCu\u00e1ntas UPAs realizan actividad pecuaria seg\u00fan especie?", + "graph_builder.page_title.location.livestock.num_farms.municipality": "\u00bfCu\u00e1ntas UPAs realizan actividad pecuaria seg\u00fan especie?", + "graph_builder.page_title.location.livestock.num_livestock.country": "\u00bfCu\u00e1les y cuantas son las especies pecuarias en Colombia?", + "graph_builder.page_title.location.livestock.num_livestock.department": "\u00bfCu\u00e1les y cuantas son las especies pecuarias en este departamento?", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "\u00bfCu\u00e1les y cuantas son las especies pecuarias en este municipio?", + "graph_builder.page_title.location.nonags.num_farms.country": "\u00bfQu\u00e9 actividades no agropecuarias se realizan en Colombia?", + "graph_builder.page_title.location.nonags.num_farms.department": "\u00bfQu\u00e9 actividades no agropecuarias se realizan en este departamento?", + "graph_builder.page_title.location.nonags.num_farms.municipality": "\u00bfQu\u00e9 actividades no agropecuarias se realizan en este municipio?", + "graph_builder.page_title.location.partners.export_value.country": "\u00bfA qu\u00e9 pa\u00edses exporta Colombia?", + "graph_builder.page_title.location.partners.export_value.department": "\u00bfA qu\u00e9 pa\u00edses exporta este departamento?", + "graph_builder.page_title.location.partners.export_value.msa": "\u00bfA qu\u00e9 pa\u00edses exporta esta ciudad?", + "graph_builder.page_title.location.partners.export_value.municipality": "\u00bfA qu\u00e9 pa\u00edses exporta este municipio?", + "graph_builder.page_title.location.partners.import_value.country": "\u00bfDe d\u00f3nde vienen las importaciones de Colombia?", + "graph_builder.page_title.location.partners.import_value.department": "\u00bfDe d\u00f3nde vienen las importaciones de este departamento?", + "graph_builder.page_title.location.partners.import_value.msa": "\u00bfDe d\u00f3nde vienen las importaciones de esta ciudad?", + "graph_builder.page_title.location.partners.import_value.municipality": "\u00bfDe d\u00f3nde vienen las importaciones de este municipio?", + "graph_builder.page_title.location.products.export_value.country": "\u00bfQu\u00e9 productos exporta Colombia?", + "graph_builder.page_title.location.products.export_value.department": "\u00bfQu\u00e9 productos exporta este departamento?", + "graph_builder.page_title.location.products.export_value.msa": "\u00bfQu\u00e9 productos exporta esta ciudad?", + "graph_builder.page_title.location.products.export_value.municipality": "\u00bfQu\u00e9 productos exporta este municipio?", + "graph_builder.page_title.location.products.import_value.country": "\u00bfQu\u00e9 productos importa Colombia?", + "graph_builder.page_title.location.products.import_value.department": "\u00bfQu\u00e9 productos importa este departamento?", + "graph_builder.page_title.location.products.import_value.msa": "\u00bfQu\u00e9 productos importa esta ciudad?", + "graph_builder.page_title.location.products.import_value.municipality": "\u00bfQu\u00e9 productos importa este municipio?", + "graph_builder.page_title.location.products.scatter.country": "\u00bfQu\u00e9 productos tienen el mayor potencial para Colombia?", + "graph_builder.page_title.location.products.scatter.department": "\u00bfQu\u00e9 productos tienen el mayor potencial para este departamento?", + "graph_builder.page_title.location.products.scatter.msa": "\u00bfQu\u00e9 productos tienen el mayor potencial para esta ciudad?", + "graph_builder.page_title.location.products.scatter.municipality": "\u00bfQu\u00e9 productos tienen el mayor potencial para este municipio?", + "graph_builder.page_title.location.products.similarity.country": "\u00bfC\u00f3mo es el mapa de los productos de Colombia?", + "graph_builder.page_title.location.products.similarity.department": "\u00bfC\u00f3mo es el mapa de los productos de este departamento?", + "graph_builder.page_title.location.products.similarity.msa": "\u00bfC\u00f3mo es el mapa de los productos de esta ciudad?", + "graph_builder.page_title.location.products.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los productos de este municipio?", + "graph_builder.page_title.nonag.departments.num_farms": "\u00bfCu\u00e1ntas unidades productivas rurales (UPAs y UPNAs) por departamento tienen esta actividad no agropecuaria?", + "graph_builder.page_title.nonag.municipalities.num_farms": "\u00bfCu\u00e1ntas unidades productivas rurales (UPAs y UPNAs) por municipio tienen esta actividad no agropecuaria?", + "graph_builder.page_title.product.cities.export_value": "\u00bfQu\u00e9 ciudades en Colombia exportan este producto?", + "graph_builder.page_title.product.cities.import_value": "\u00bfQu\u00e9 ciudades en Colombia importan este producto?", + "graph_builder.page_title.product.departments.export_value": "\u00bfQu\u00e9 departamentos en Colombia exportan este producto?", + "graph_builder.page_title.product.departments.import_value": "\u00bfQu\u00e9 departamentos en Colombia importan este producto?", + "graph_builder.page_title.product.partners.export_value": "\u00bfA d\u00f3nde exporta Colombia este producto?", + "graph_builder.page_title.product.partners.export_value.destination": "\u00bfA qu\u00e9 pa\u00edses env\u00eda {{location}} sus exportaciones de {{product}}?", + "graph_builder.page_title.product.partners.import_value": "\u00bfDe d\u00f3nde importa Colombia este producto?", + "graph_builder.page_title.product.partners.import_value.origin": "\u00bfDe qu\u00e9 pa\u00edses recibe {{location}} sus importaciones de {{product}}?", + "graph_builder.questions.label": "Cambiar pregunta", + "graph_builder.recirc.header.industry": "Lea el perfil de este sector", + "graph_builder.recirc.header.location": "Lea el perfil de este lugar", + "graph_builder.recirc.header.product": "Lea el perfil de este producto", + "graph_builder.search.placeholder.agproducts": "Se\u00f1ale productos agropecuarios en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.cities": "Destaque una ciudad en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.departments": "Destaque un departamento en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.farmtypes": "Se\u00f1ale un tipo de unidad de producci\u00f3n rural en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.industries": "Destaque un sector en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.landUses": "Se\u00f1ale un uso de suelo en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.livestock": "Se\u00f1ale una especie pecuaria en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.locations": "Destaque un lugar en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.municipalities": "Se\u00f1ale una municipio en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.nonags": "Se\u00f1ale una actividad no agropecuaria en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.occupations": "Destaque una ocupaci\u00f3n en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.partners": "Resaltar socios comerciales en la gr\u00e1fica inferior", + "graph_builder.search.placeholder.products": "Destaque un producto en el gr\u00e1fico siguiente", + "graph_builder.search.submit": "Destacar", + "graph_builder.settings.change_time": "Cambiar per\u00edodo", + "graph_builder.settings.close_settings": "Archive y cierre", + "graph_builder.settings.label": "Cambiar caracter\u00edsticas", + "graph_builder.settings.rca": "Ventaja comparativa revelada", + "graph_builder.settings.rca.all": "Todo", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "a", + "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year.next": "Siguiente", + "graph_builder.settings.year.previous": "Anterior", + "graph_builder.table.agproduct": "Producto Agr\u00edcola", + "graph_builder.table.area": "\u00c1rea (ha)", + "graph_builder.table.average_livestock_load": "", + "graph_builder.table.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.table.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.table.code": "C\u00f3digo", + "graph_builder.table.cog": "Valor estrat\u00e9gico", + "graph_builder.table.coi": "Complejidad exportadora potencial", + "graph_builder.table.complexity": "Complejidad", + "graph_builder.table.country": "Pa\u00eds", + "graph_builder.table.department": "Departamento", + "graph_builder.table.distance": "Distancia", + "graph_builder.table.eci": "Complejidad exportadora", + "graph_builder.table.employment": "Empleo", + "graph_builder.table.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.table.export": "Exportaci\u00f3n", + "graph_builder.table.export_num_plants": "N\u00famero de empresas", + "graph_builder.table.export_rca": "Ventaja comparativa revelada", + "graph_builder.table.export_value": "Exportaciones, USD", + "graph_builder.table.farmtype": "Tipo de UPA", + "graph_builder.table.gdp_pc_real": "PIB per c\u00e1pita", + "graph_builder.table.gdp_real": "PIB", + "graph_builder.table.import_value": "Importaciones, USD", + "graph_builder.table.industry": "Sector", + "graph_builder.table.industry_coi": "Complejidad sectorial potencial", + "graph_builder.table.industry_eci": "Complejidad sectorial", + "graph_builder.table.land_harvested": "\u00c1rea cosechada (ha)", + "graph_builder.table.land_sown": "\u00c1rea sembrada (ha)", + "graph_builder.table.land_use": "Usos del suelo", + "graph_builder.table.less_than_5": "Menos de 5", + "graph_builder.table.livestock": "Especie", + "graph_builder.table.location": "Lugar", + "graph_builder.table.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.table.name": "Nombre", + "graph_builder.table.nonag": "Actividades no agropecuarias", + "graph_builder.table.num_establishments": "N\u00famero de empresas", + "graph_builder.table.num_farms": "N\u00famero de Unidades de Producci\u00f3n", + "graph_builder.table.num_farms_ag": "N\u00famero de UPAs", + "graph_builder.table.num_farms_nonag": "N\u00famero de UPNAs", + "graph_builder.table.num_livestock": "N\u00famero de animales", + "graph_builder.table.num_vacancies": "Vacantes", + "graph_builder.table.occupation": "Ocupaci\u00f3n", + "graph_builder.table.parent": "Grupo", + "graph_builder.table.parent.country": "Regi\u00f3n", + "graph_builder.table.parent.location": "Regi\u00f3n", + "graph_builder.table.population": "Poblaci\u00f3n", + "graph_builder.table.production_tons": "Producci\u00f3n (tons)", + "graph_builder.table.rca": "Ventaja comparativa revelada", + "graph_builder.table.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.table.share": "Participaci\u00f3n", + "graph_builder.table.wages": "N\u00f3mina salarial total, Col$ (miles)", + "graph_builder.table.year": "A\u00f1o", + "graph_builder.table.yield_index": "\u00cdndice de Rendimiento de Cultivos", + "graph_builder.table.yield_ratio": "Rendimiento de Cultivos (tons/ha)", + "graph_builder.view_more": "Muestre m\u00e1s", + "header.agproduct": "Productos agr\u00edcolas", + "header.destination": "Destino", + "header.destination_by_products": "Destinos por productos", + "header.employment": "Empleo", + "header.export": "Exportaciones", + "header.farmtypes.area": "Tipos de UPAs", + "header.import": "Importaciones", + "header.index": "\u00cdndice", + "header.industry": "Sectores", + "header.industry_potential": "Potencial", + "header.industry_space": "Mapa de los sectores ", + "header.land-use": "Usos del suelo", + "header.landUse": "Usos del suelo", + "header.landUses.area": "Usos del suelo", + "header.land_harvested": "Terreno Cosechado", + "header.land_sown": "\u00c1rea sembrada (ha)", + "header.landuse": "Usos del suelo", + "header.livestock": "Especies Pecuarias", + "header.livestock.num_farms": "N\u00famero de UPAs", + "header.livestock.num_livestock": "N\u00famero de cabezas de ganado", + "header.livestock_num_farms": "N\u00famero de UPAs", + "header.livestock_num_livestock": "N\u00famero de cabezas de ganado", + "header.location": "Lugares", + "header.nonag": "Actividades no agropecuarias", + "header.occupation": "Ocupaciones", + "header.occupation.available_jobs": "Vacantes anunciadas", + "header.origin": "Origen", + "header.origin_by_products": "Origen por productos", + "header.overview": "Resumen", + "header.partner": "Socios comerciales", + "header.product": "Productos ", + "header.product_potential": "Potencial", + "header.product_space": "Mapa de los productos", + "header.production_tons": "Producci\u00f3n", + "header.region": "Por departamento", + "header.rural": "Preguntas: Actividades Rurales", + "header.subregion": "Por ciudad", + "header.subsubregion": "Por municipio", + "header.wage": "N\u00f3mina total", + "header.yield_ratio": "Productividad", + "index.builder_cta": "Explore las gr\u00e1ficas sobre el caf\u00e9", + "index.builder_head": "Luego vaya al graficador", + "index.builder_subhead": "Haga sus propios gr\u00e1ficos y mapas", + "index.complexity_caption": "\u00bfQu\u00e9 tan bueno es este enfoque? Las predicciones de crecimiento basadas en la complejidad son seis veces m\u00e1s preocsas que las basadas en variables convencionales, como los \u00cdndice de Competitividad Mundial. ", + "index.complexity_cta": "Lea m\u00e1s sobre los conceptos de complejidad", + "index.complexity_figure.WEF_name": "\u00cdndice de Competitividad Mundial", + "index.complexity_figure.complexity_name": "\u00cdndice de complejidad econ\u00f3mica", + "index.complexity_figure.head": "Crecimiento econ\u00f3mico explicado (% de la varianza decenal)", + "index.complexity_head": "La ventaja de la complejidad", + "index.complexity_subhead": "Los pa\u00edses que exportan productos complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido que los que exportan materias primas. Usando los m\u00e9todos para medir y visualizar la complejidad desarrollados por la Universidad de Harvard, Datlas permite explorar las posibilidades productivas y de exportaci\u00f3n de los departamentos y ciudades colombianas.", + "index.country_profile": "Lea el perfil de Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.farmandland_head": "Aprenda sobre Actividades Rurales", + "index.future_head": "Avizorando el futuro", + "index.future_subhead": "Los gr\u00e1ficos de dispersi\u00f3n y diagramas de redes permiten encontrar los sectores productivos que tienen las mejores posibilidades en un departamento o ciudad.", + "index.graphbuilder.id": "87", + "index.header_h1": "El Atlas Colombiano de Complejidad Econ\u00f3mica", + "index.header_head": "Colombia como usted nunca la ha visto", + "index.header_subhead": "Visualice las posibilidades de cualquier sector, cualquier producto de exportaci\u00f3n o cualquier lugar en Colombia.", + "index.industry_head": "Ent\u00e9rese de un sector", + "index.industry_q1": "\u00bfEn d\u00f3nde emplea m\u00e1s personas el sector qu\u00edmico de Colombia?", + "index.industry_q1.id": "461", + "index.industry_q2": "\u00bfQu\u00e9 ocupaciones demanda la sector qu\u00edmico?", + "index.industry_q2.id": "461", + "index.landuse_q1": "\u00bfCu\u00e1ntas hect\u00e1reas sembradas por cultivo hay en Colombia?", + "index.livestock_q1": "\u00bfCu\u00e1les y cu\u00e1ntas son las especies pecuarias en Colombia?", + "index.location_head": "Aprenda sobre un lugar", + "index.location_q1": "\u00bfQu\u00e9 sectores emplean m\u00e1s gente en Bogot\u00e1 Met?", + "index.location_q1.id": "41", + "index.location_q2": "\u00bfQu\u00e9 exportaciones tienen el mayor potencial en Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "Vea todas las preguntas", + "index.present_head": "Mapeando el presente", + "index.present_subhead": "Utilice nuestros diagramas, gr\u00e1ficos y mapas para descomponer las exportaciones, el empleo formal o las actividades rurales de su departamento, ciudad o municipio.", + "index.product_head": "Aprenda sobre un producto de exportaci\u00f3n", + "index.product_q1": "\u00bfQu\u00e9 lugares de Colombia exportan computadores?", + "index.product_q1.id": "1143", + "index.product_q2": "\u00bfQu\u00e9 lugares de Colombia importan computadores?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Lea el perfil de Antioquia", + "index.profiles_head": "Comience por los perfiles", + "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", + "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Investigaci\u00f3n mencionada en", + "industry.show.avg_wages": "Salarios promedio ({{year}})", + "industry.show.employment": "Empleo ({{year}})", + "industry.show.employment_and_wages": "Empleo formal y salarios", + "industry.show.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "industry.show.industries": "Sectores", + "industry.show.industry_composition": "Composici\u00f3n del sector ({{year}})", + "industry.show.occupation": "Ocupaciones", + "industry.show.occupation_demand": "Ocupaciones m\u00e1s demandadas en este sector, {{year}}", + "industry.show.value": "Valor", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "departamento", + "location.model.msa": "ciudad", + "location.model.municipality": "municipio", + "location.show.ag_farmsize": "Tama\u00f1o promedio de UPAs", + "location.show.all_departments": "Comparaci\u00f3n con otros departamentos", + "location.show.all_regions": "En comparaci\u00f3n con los otros lugares", + "location.show.average_livestock_load": "", + "location.show.bullet.gdp_grow_rate": "La tasa de crecimiento del PIB en el per\u00edodo {{yearRange}} fue {{gdpGrowth}}, comparada con 5,3% para toda Colombia.", + "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$15,1 millones para toda Colombia en 2014.", + "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 46,3 millones de personas en todo el pa\u00eds en 2014.", + "location.show.eci": "Complejidad exportadora", + "location.show.employment": "Empleo total ({{lastYear}})", + "location.show.employment_and_wages": "Empleo formal y salarios", + "location.show.export_possiblities": "Posibilidades de exportaci\u00f3n", + "location.show.export_possiblities.footer": "Los productos indicados pueden no ser viables debido a condiciones del lugar que no se consideran en el an\u00e1lisis de similitud tecnol\u00f3gica.", + "location.show.export_possiblities.intro": "Hemos encontrado que los pa\u00edses que exportan productos m\u00e1s complejos crecen m\u00e1s r\u00e1pido. Usando el \"mapa del producto\" presentado arriba, estamos destacando productos de alto potencial para {{name}}, ordenados por las mejores combinaciones de complejidad actual y valor estrat\u00e9gico.", + "location.show.exports": "Exportaciones ({{year}})", + "location.show.exports_and_imports": "Exportaciones e importaciones", + "location.show.gdp": "PIB", + "location.show.gdp_pc": "PIB per c\u00e1pita", + "location.show.growth_annual": "Tasa de crecimiento ({{yearRange}})", + "location.show.imports": "Importaciones ({{year}})", + "location.show.nonag_farmsize": "Tama\u00f1o promedio de UPNAs (ha)", + "location.show.overview": "Resumen", + "location.show.population": "Poblaci\u00f3n", + "location.show.subregion.exports": "Composici\u00f3n de exportaciones por municipio ({{year}})", + "location.show.subregion.imports": "Composici\u00f3n de importaciones por municipio ({{year}})", + "location.show.subregion.title": "Exportaciones e importaciones por municipio", + "location.show.total_wages": "N\u00f3mina salarial ({{lastYear}})", + "location.show.value": "Valor", + "location.show.yield_index": "\u00cdndice de Rendimiento de Cultivos", + "pageheader.about": "Acerca de Datlas", + "pageheader.alternative_title": "Atlas de complejidad econ\u00f3mica", + "pageheader.brand_slogan": "Colombia como usted nunca la ha visto", + "pageheader.download": "Acerca de los datos", + "pageheader.graph_builder_link": "Graficador", + "pageheader.profile_link": "Perfil", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Buscar", + "pageheader.search_placeholder": "Busque un lugar, sector, producto o actividad rural", + "pageheader.search_placeholder.industry": "Busque un sector", + "pageheader.search_placeholder.location": "Busque un lugar", + "pageheader.search_placeholder.product": "Busque un producto", + "pageheader.search_placeholder.rural": "Busque actividades rurales", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explicaci\u00f3n", + "rankings.intro.p": "Comparaci\u00f3n entre departamentos o ciudades", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Ciudades", + "rankings.section.departments": "Departamentos", + "rankings.table-title": "Posici\u00f3n", + "search.didnt_find": "\u00bfEncontr\u00f3 lo que buscaba? Nos interesa saber: Datlascolombia@bancoldex.com", + "search.header": "resultados", + "search.intro": "Busque el lugar, producto, sector u ocupaci\u00f3n que le interese", + "search.level.4digit": "Partida arancelaria (1992) a cuatro d\u00edgitos", + "search.level.class": "CIIU a cuatro d\u00edgitos", + "search.level.country": "Pa\u00eds", + "search.level.department": "Departamento", + "search.level.division": "CIIU a dos d\u00edgitos", + "search.level.level1": "", + "search.level.level2": "", + "search.level.level3": "", + "search.level.msa": "Ciudad", + "search.level.municipality": "Municipio", + "search.level.parent.4digit": "Partida arancelaria (1992) a dos d\u00edgitos", + "search.level.parent.class": "CIIU a dos d\u00edgitos", + "search.level.parent.country": "Regi\u00f3n", + "search.placeholder": "Escriba aqu\u00ed para buscar lo que quiere", + "search.results_agproducts": "Productos agr\u00edcolas", + "search.results_industries": "Sectores", + "search.results_landuses": "Usos de suelo", + "search.results_livestock": "Especies Pecuarias", + "search.results_locations": "Lugares", + "search.results_nonag": "Actividades no agropecuarias", + "search.results_products": "Productos", + "search.results_rural": "Actividades rurales", + "table.export_data": "Descargar Datos", + "thousands_delimiter": "." +}; \ No newline at end of file diff --git a/app/locales/es-col/translationsold.js b/app/locales/es-col/translationsold.js new file mode 100644 index 00000000..9c3865a5 --- /dev/null +++ b/app/locales/es-col/translationsold.js @@ -0,0 +1,568 @@ +export default { + "abbr_billion": "mm", + "abbr_million": "mill", + "abbr_thousand": "miles", + "abbr_trillion": "bill", + "about.downloads.explanation.p1": "Descarque el documento que explica c\u00f3mo se calcula cada una de las variables de complejidad que utiliza Datlas.", + "about.downloads.explanation.title": "M\u00e9todos de c\u00e1lculo de las variables de complejidad", + "about.downloads.locations": "Listas de departmentos, ciudades (incluyendo \u00e1reas metropolitanas) y municipios", + "about.glossary": "

V\u00e9ase la p\u00e1gina \"Acerca de los datos\" para m\u00e1s informaci\u00f3n sobre fuentes, m\u00e9todos de c\u00e1lculo de las variables de complejidad y bases de datos descargables.

\u00c1reas metropolitanas

Un \u00e1rea metropolitana es la combinaci\u00f3n de dos o m\u00e1s municipios que est\u00e1n conectados a trav\u00e9s de flujos relativamente grandes de trabajadores (con independencia de su tama\u00f1o o contig\u00fcidad). Un municipio debe enviar al menos un 10% de sus trabajadores como viajeros diarios al resto de los municipios del \u00e1rea metropolitana para considerarse como parte de dicha \u00e1rea.

Con base en esta definici\u00f3n hay 19 \u00e1reas metropolitanas en Colombia, que comprenden 115 municipios. Las \u00e1reas metropolitanas resultantes son distintas de las oficiales. Se sigue la metodolog\u00eda de G. Duranton ( 2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Ciudades

Son las \u00e1reas metropolitanas y los municipios de m\u00e1s de 50.000 habitantes con al menos 75% de poblaci\u00f3n en la cabecera municipal. En total hay 62 ciudades (19 \u00e1reas metropolitanas que comprenden 115 municipios, m\u00e1s 43 ciudades de un solo municipio). El concepto de ciudad es relevante porque Datlas presenta indicadores de complejidad por departamento y por ciudad, pero no por municipio.

Complejidad

Complejidad es la diversidad y sofisticaci\u00f3n del \"know-how\" que se requiere para producir algo. El concepto de complejidad es central en Datlas porque la productividad y el crecimiento de cualquier lugar dependen de que las empresas puedan producir y exportar con \u00e9xito bienes y servicios que requieren capacidades y conocimientos m\u00e1s complejos, es decir m\u00e1s diversos y exclusivos. La complejidad puede medirse para un lugar, para un producto de exportaci\u00f3n, o para un sector.

Complejidad potencial de un lugar

Mide el potencial de aumento de la complejidad de un lugar. Tiene en cuenta el nivel de complejidad de todos los sectores productivos (o productos de exportaci\u00f3n), junto con la \u201cdistancia\u201d a los dem\u00e1s sectores (o productos). Con esta informaci\u00f3n mide la probabilidad de que aparezcan nuevos sectores (o exportaciones) y qu\u00e9 tanto elevar\u00edan la complejidad del lugar. Valores m\u00e1s altos indican que es m\u00e1s probable desarrollar nuevos sectores (o productos) m\u00e1s complejos que los que ya se tienen.

La complejidad potencial basada en sectores se calcula para los departamentos y ciudades, no para los dem\u00e1s municipios. La complejidad potencial basada en las exportaciones se calcula solamente por departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

DANE

DANE es el Departamento Administrativo Nacional de Estad\u00edstica de Colombia, fuente de todos los datos sobre el PIB y la poblaci\u00f3n que utiliza Datlas.

DIAN

DIAN es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, fuente de toda la informaci\u00f3n sobre exportaciones e importaciones de Datlas.

Distancia a un sector o exportaci\u00f3n en un lugar

La \u201cdistancia\u201d es una medida de la capacidad de un lugar para desarrollar un sector o una exportaci\u00f3n espec\u00edfica, teniendo en cuenta las capacidades productivas existentes. La \u201cdistancia\u201d es menor en la medida en que las capacidades requeridas por un sector o exportaci\u00f3n son m\u00e1s similares a las ya existentes. En esa medida ser\u00e1n mayores las posibilidades de que desarrolle con \u00e9xito el sector o exportaci\u00f3n. Visto de otra forma, la distancia refleja la proporci\u00f3n del conocimiento productivo que se necesita para que aparezca un sector o exportaci\u00f3n que a\u00fan no existe en el lugar.

Las distancias por sectores productivos se calculan solamente para los departamentos y ciudades, no para los dem\u00e1s municipios. Las distancias para las exportaciones se calculan solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Diversidad

Es una medida de cu\u00e1ntos productos diferentes puede hacer un lugar. La producci\u00f3n de un bien cualquiera requiere un conjunto espec\u00edfico de capacidades; por consiguiente la diversidad es otra forma de expresar la cantidad de conocimiento productivo de un lugar.

Empleo, salarios y tasa de empleo formal

El empleo formal es aquel que est\u00e1 cubierto por el sistema de seguridad social en salud y/o por el sistema de pensiones. No incluye trabajadores independientes. El empleo formal reportado es el n\u00famero de empleados formales en un mes promedio. La tasa de formalidad es el empleo formal dividido por la poblaci\u00f3n mayor de 15 a\u00f1os. Los datos de empleo y salarios provienen de la PILA del Ministerio de Salud. Los datos de poblaci\u00f3n son del DANE.

Empresas, n\u00famero de

El conteo de empresas con actividad productiva por lugar (municipio, departamento, nacional) se hizo teniendo en cuenta todas aquellas empresas registradas en la PILA que hicieron alg\u00fan aporte a la seguridad social para sus empleados en el a\u00f1o de referencia (aunque no hayan estado en operaci\u00f3n todo el a\u00f1o).

El conteo de empresas exportadoras o importadoras se hizo por municipio y producto teniendo en cuenta cualquier empresa que seg\u00fan la DIAN hubiera realizado alguna operaci\u00f3n en el a\u00f1o de referencia (por consiguiente, el conteo de empresas exportadoras o importadoras de un producto por departamento o para todo el pa\u00eds puede tener duplicaciones).

\u00cdndice de Complejidad del Producto (ICP)

Ordena los productos de exportaci\u00f3n seg\u00fan qu\u00e9 tantas capacidades productivas se requieren para su fabricaci\u00f3n. Productos complejos de exportaci\u00f3n, tales como qu\u00edmicos y maquinaria, requieren un nivel sofisticado y diverso de conocimientos que s\u00f3lo se consigue con la interacci\u00f3n en empresas de muchos individuos con conocimientos especializados. Esto contrasta con las exportaciones de baja complejidad, como el caf\u00e9, que requieren apenas conocimientos productivos b\u00e1sicos que se pueden reunir en una empresa familiar. Para calcular la complejidad de los productos de exportaci\u00f3n se utilizan datos de Comtrade de las Naciones Unidas para cerca de 200 pa\u00edses.

\u00cdndice de Complejidad Econ\u00f3mica (ICE)

Una medida de la sofisticaci\u00f3n de las capacidades productivas de un lugar basada en la diversidad y la ubicuidad de sus sectores productivos o sus exportaciones. Un lugar con alta complejidad produce o exporta bienes y servicios que pocos otros lugares producen. Lugares altamente complejos tienden a ser m\u00e1s productivos y a generar mayores salarios e ingresos. Los pa\u00edses con canastas de exportaci\u00f3n m\u00e1s sofisticadas de lo que se espera para su nivel de ingresos (como China) tienden a crecer m\u00e1s r\u00e1pido que aquellos en los que es todo lo contrario (como Grecia).

El ICE basado en los sectores productivos (o \u00edndice de complejidad productiva) se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. La ICE basado en las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la estructura de las exportaciones es inestable y/o poco representativa).

\u00cdndice de Complejidad del Sector (ICS)

Es una medida de qu\u00e9 tantas capacidades productivas requieren un sector para operar. El ICS y el \u00cdndice de Complejidad del Producto (ICP) son medidas estrechamente relacionadas, pero se calculan en forma separada con datos y sistemas de clasificaci\u00f3n independientes, ya que la complejidad del producto se calcula solo para mercanc\u00edas comercializables internacionalmente, mientras que los sectores productivos comprenden todos los sectores que generan empleo, incluidos todos los servicios y el sector p\u00fablico. Un sector es complejo si requiere un nivel sofisticado de conocimientos productivos, como los servicios financieros y los sectores farmac\u00e9uticos, en donde trabajan en grandes empresas muchos individuos con conocimientos especializados distintos. La complejidad de un sector se mide calculando la diversidad promedio de los lugares donde existe el sector y la ubicuidad promedio de los sectores de esos lugares. Los datos de empleo formal necesarios para estos c\u00e1lculos provienen de la PILA del Ministerio de Salud.

Mapa de similitud tecnol\u00f3gica de productos de exportaci\u00f3n (o mapa de los productos)

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos para la exportaci\u00f3n de unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Aparecen con color los productos de exportaci\u00f3n que se exportan con ventaja comparativa revelada mayor que uno. Cuando se selecciona un producto, el gr\u00e1fico destaca los productos que requieren capacidades productivas semejantes. Un producto con m\u00e1s enlaces con otros que no se exportan ofrece mayor potencial para la diversificaci\u00f3n exportadora a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el producto tiene un alto potencial para elevar la complejidad del lugar.

El mapa de similitud de los productos se basa en los datos de comercio internacional de 192 pa\u00edses en m\u00e1s de 50 a\u00f1os compilados por Comtrade. Ver http://atlas.cid.harvard.edu/.

Mapa de similitud de los sectores productivos de Colombia

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores u otros. Cada punto representa un sector y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Aparecen con color los sectores con ventaja comparativa revelada mayor que uno. Cuando se selecciona un lugar, el gr\u00e1fico destaca los sectores que requieren capacidades productivas semejantes. Un sector con m\u00e1s enlaces con sectores que no existen ofrece mayor potencial para la diversificaci\u00f3n productiva a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el sector tiene un alto potencial para elevar la complejidad del lugar. El mapa de los sectores productivos de Colombia fue construido a partir de la informaci\u00f3n de empleo formal por municipio de la PILA del Ministerio de Salud.

Ocupaciones

Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos sobre las ocupaciones (salarios ofrecidos, estructura ocupacional por sector y nivel educativo por ocupaci\u00f3n) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Los datos fueron procesados por Jeisson Arley Rubio C\u00e1rdenas (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Escuela de Econom\u00eda de Par\u00eds).

PILA

PILA es la Planilla Integrada de Aportes Laborales del Ministerio de Salud. Es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector.

Productos de exportaci\u00f3n e importaci\u00f3n: sistema de clasificaci\u00f3n

El sistema de clasificaci\u00f3n de los productos de exportaci\u00f3n e importaci\u00f3n de Datlas es la nomenclatura arancelaria NABANDINA, la cual calza a seis d\u00edgitos con la clasificaci\u00f3n internacional del Sistema Armonizado (SA). Datlas presenta informaci\u00f3n de productos (de exportaci\u00f3n e importaci\u00f3n) a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la DIAN.

Sectores productivos: sistema de clasificaci\u00f3n

La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). Datlas presenta informaci\u00f3n sectorial a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la PILA. Siguiendo las convenciones de la contabilidad nacional, los trabajadores contratados por agencias de empleo temporal se clasifican en el sector de suministro de personal (7491), no en el sector de la empresa donde prestan servicios.

Ubicuidad

Una medida del n\u00famero de lugares que pueden producir un producto.

Valor estrat\u00e9gico de un sector o una exportaci\u00f3n para un lugar

Capta en qu\u00e9 medida un lugar podr\u00eda beneficiarse mediante el desarrollo de un sector en particular (o un producto de exportaci\u00f3n). Tambi\u00e9n conocida como \"ganancia de oportunidad\", esta medida representa la distancia a todos los otros sectores (o exportaciones) que un lugar no produce actualmente con ventaja comparativa revelada mayor que uno y su respectiva complejidad. Refleja c\u00f3mo un nuevo sector (o exportaci\u00f3n) puede abrir paso a otros sectores o productos m\u00e1s complejos. El valor estrat\u00e9gico de los sectores productivos se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. El valor estrat\u00e9gico de las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Ventaja Comparativa Revelada (VCR) de un sector o una exportaci\u00f3n en un lugar

Mide el tama\u00f1o relativo de un sector o un producto de exportaci\u00f3n en un lugar. La VCR, que no debe interpretarse como un indicador de eficiencia productiva o de competitividad, se conoce tambi\u00e9n por el nombre de \"cociente de localizaci\u00f3n\u201d. Se calcula como el cociente entre la participaci\u00f3n del empleo formal de un sector en el lugar y la participaci\u00f3n del empleo formal total del mismo sector en todo el pa\u00eds. Por ejemplo, si la industria qu\u00edmica en una ciudad genera el 10% del empleo, mientras que en todo el pa\u00eds genera el 1% del empleo, la VCR de la industria qu\u00edmica en dicha ciudad es 10. Para una exportaci\u00f3n es la relaci\u00f3n entre la participaci\u00f3n que tiene el producto en la canasta de exportaci\u00f3n del lugar y la participaci\u00f3n que tiene en el comercio mundial. Si esta relaci\u00f3n es mayor que 1, se dice que el lugar tiene ventaja comparativa revelada en el sector o en la exportaci\u00f3n. Por ejemplo, si el caf\u00e9 representa el 30% de las exportaciones de un departamento colombiano, pero da cuenta apenas del 0.3% del comercio mundial, entonces la VCR del departamento en caf\u00e9 es 100.

", + "about.glossary_name": "Glosario", + "about.project_description.cid.header": "El CID y el Laboratorio de Crecimiento ", + "about.project_description.cid.p1": "Este proyecto ha sido desarrollado por el Centro para el Desarrollo Internacional de la Universidad de Harvard (CID), bajo la direcci\u00f3n del profesor Ricardo Hausmann", + "about.project_description.cid.p2": "El CID tiene por objetivos avanzar en la comprensi\u00f3n de los desaf\u00edos del desarrollo y ofrecer soluciones viables para reducir la pobreza mundial. El Laboratorio de Crecimiento es uno de los principales programas de investigaci\u00f3n del CID.", + "about.project_description.contact.header": "Informaci\u00f3n de contacto", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex, el banco de desarrollo empresarial de Colombia, est\u00e1 comprometido con el desarrollo de instrumentos financieros y no financieros orientados a mejorar la competitividad, la productividad, el crecimiento y la internacionalizaci\u00f3n de las empresas colombianas. Aprovechando su posici\u00f3n de mercado y su capacidad para establecer relaciones empresariales, Banc\u00f3ldex gestiona activos financieros, desarrolla soluciones de acceso a la financiaci\u00f3n y ofrece soluciones de capital innovadoras que fomentan y aceleran el crecimiento empresarial. Adem\u00e1s de ofrecer pr\u00e9stamos tradicionales, Banc\u00f3ldex ha sido designado para ejecutar varios programas de desarrollo tales como el Programa de Transformaci\u00f3n Productiva, iNNpulsa Colombia, iNNpulsa Mipyme y la Banca de las Oportunidades. Todos ellos conforman una oferta integrada de servicios para promover el entorno empresarial colombiano y la competitividad. Datlas es parte del Programa de Transformaci\u00f3n Productiva y la iniciativas INNpulsa Colombia.", + "about.project_description.founder2.header": "Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.founder2.p": "Creada en 1953, la Fundaci\u00f3n Mario Santo Domingo (FMSD) es una organizaci\u00f3n sin fines de lucro dedicada a la implementaci\u00f3n de programas de desarrollo comunitario en Colombia. FMSD concentra sus principales esfuerzos en la construcci\u00f3n de viviendas asequibles dentro de un modelo de desarrollo comunitario llamado Desarrollo Integral de Comunidades Sustentables, dise\u00f1ado por el FMSD como respuesta al gran d\u00e9ficit de vivienda en Colombia. A trav\u00e9s de este programa, el FMSD proporciona apoyo social a las familias, as\u00ed como infraestructura social y urbana para los menos privilegiados. FMSD tambi\u00e9n contribuye al desarrollo empresarial de la regi\u00f3n Norte de Colombia y de Bogot\u00e1 a trav\u00e9s de su Unidad de Microfinanzas, que ofrece capacitaci\u00f3n y servicios financieros como el microcr\u00e9dito. M\u00e1s de 130.000 empresarios han recibido pr\u00e9stamos de la Fundaci\u00f3n desde su lanzamiento en 1984. FMSD tambi\u00e9n trabaja en identificar alianzas y sinergias entre los sectores p\u00fablico y privado en las \u00e1reas de desarrollo social cr\u00edticos, como la primera infancia, la sostenibilidad ambiental, la atenci\u00f3n de desastres, la educaci\u00f3n y la salud.", + "about.project_description.founders.header": "Entidades Patrocinadoras", + "about.project_description.founders.p": "Este proyecto es financiado por Banc\u00f3ldex y la Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.github": "Revise nuestro c\u00f3digo", + "about.project_description.intro.p1": "En Colombia, las diferencias de ingresos entre regiones son enormes y han ido creciendo: las nuevas oportunidades de empleo se concentran cada vez m\u00e1s en las \u00e1reas metropolitanas de Bogot\u00e1, Medell\u00edn y Cali, aparte de los lugares donde se extraen petr\u00f3leo y otros minerales. El ingreso promedio de los residentes de Bogot\u00e1 es cuatro veces el de los colombianos que viven en los 12 departamentos m\u00e1s pobres.", + "about.project_description.intro.p2": "Datlas es una herramienta de diagn\u00f3stico para que las empresas, los inversionistas y las autoridades de gobierno puedan tomar decisiones que ayuden a elevar la productividad. Contiene informaci\u00f3n por departamento, \u00e1rea metropolitana y municipio sobre actividad productiva, empleo, salarios y exportaciones. Ofrece criterios para identificar los sectores y las exportaciones con potencial de crecimiento con base en la complejidad econ\u00f3mica.", + "about.project_description.intro.p3": "La complejidad econ\u00f3mica es una medida de las capacidades y conocimientos de los sectores productivos de un pa\u00eds o una ciudad. Para hacer una camisa, hay que dise\u00f1arla, producir la tela, cortar, coser, empacar el producto, comercializarlo y distribuirlo. Para que un pa\u00eds pueda producir camisas, necesita personas que tengan experiencia en cada una de estas \u00e1reas. Cada una de estas tareas implica muchas m\u00e1s capacidades de las que cualquier persona sola puede dominar. S\u00f3lo mediante la combinaci\u00f3n de know-how de diferentes personas puede hacerse el producto. El camino hacia el desarrollo econ\u00f3mico consiste en aprender a hacer cosas m\u00e1s sofisticadas. El juego de Scrabble puede servir de analog\u00eda: el jugador que tiene un mayor n\u00famero de letras variadas puede hacer m\u00e1s palabras y conseguir m\u00e1s puntos. Los pa\u00edses con una mayor diversidad de capacidades productivas pueden hacer una mayor diversidad de productos. El desarrollo econ\u00f3mico ocurre en la medida en que el pa\u00eds o la ciudad adquiere m\u00e1s capacidades y conocimientos para producir productos cada vez m\u00e1s complejos.", + "about.project_description.intro.p4": "Este enfoque conceptual que ha sido aplicado a nivel internacional en el Atlas de la Complejidad Econ\u00f3mica se utiliza ahora en esta herramienta en l\u00ednea para identificar las posibilidades de exportaci\u00f3n y de desarrollo sectorial de los departamentos, las \u00e1reas metropolitanas y las ciudades colombianas.", + "about.project_description.letter.header": "Bolet\u00edn de Estudios del CID", + "about.project_description.letter.p": "Inscr\u00edbase al Bolet\u00edn de Estudios del CID para mantenerse al d\u00eda con los avances de la investigaci\u00f3n y las herramientas pr\u00e1cticas en temas relacionados con la complejidad.", + "about.project_description.team.header": "El equipo acad\u00e9mico y t\u00e9cnico", + "about.project_description.team.p": "El equipo acad\u00e9mico de CID de Harvard: Ricardo Hausmann (director), Eduardo Lora (coordinador), Tim Cheston, Andr\u00e9s G\u00f3mez-Li\u00e9vano, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery y Juan T\u00e9llez. El equipo de programaci\u00f3n y visualizaci\u00f3n de CID de Harvard: Greg Shapiro (coordinador), Mali Akmanalp, Katy Harris, Quinn Lee, Romain Vuillemot y Gus Wezerek. Asesor estad\u00edstico de Colombia: Marcela Eslava (Universidad de los Andes). Recopilaci\u00f3n y procesamiento de los datos de ofertas de empleo de Colombia: Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).", + "about.project_description_name": "Acerca de Datlas", + "census_year": "2014", + "country.show.ag_farmsize": "", + "country.show.dotplot-column": "Departamentos de Colombia", + "country.show.eci": "0,037", + "country.show.economic_structure": "Estructura econ\u00f3mica", + "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 48,1 millones (a mayo 2015), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2014 fue Col $756,1 billones, o US$377,9 miles de millones a la tasa de cambio promedio de 2014 (1 US d\u00f3lar = 2000,6 pesos colombianos). En 2014, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $15.864.953 o US$7.930. La tasa de crecimiento desde 2008 ha sido en promedio 4.3% (o 3.1% por persona). ", + "country.show.economic_structure.copy.p2": "Los servicios empresariales y financieros son el sector m\u00e1s grande, con una contribuci\u00f3n al PIB de 18,8%, seguidos por los servicios de gobierno, sociales y personales (16,5%) y las actividades manufactureras (11,2%). Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 24,7, 13,1 y 9,2%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", + "country.show.employment_wage_occupation": "Empleo formal, ocupaciones y salarios", + "country.show.employment_wage_occupation.copy.p1": "En 2014, aproximadamente 21,6 millones de personas fueron ocupadas en empleos formales o informales, con un leve aumento respecto al a\u00f1o anterior (21,1 millones). Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que 13,3 millones de personas estuvieron ocupadas en alg\u00fan momento en empleos formales en 2013. Teniendo en cuenta el n\u00famero de meses empleados, el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2013 fue 6,7 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 32,7, 16,7, and 10,7% del empleo formal (efectivo).", + "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2014.", + "country.show.export_complexity_possibilities": "Complejidad de las exportaciones y posibilidades de exportaci\u00f3n", + "country.show.export_complexity_possibilities.copy.p1": "El concepto de complejidad de las exportaciones es an\u00e1logo al de complejidad de los sectores sectorial presentado arriba, pero referido ahora a las exportaciones. Se mide mediante el \u00cdndice de Complejidad del Producto. Se ha comprobado que los pa\u00edses que exportan productos que son relativamente complejos con respecto a su nivel de desarrollo tienden a crecer m\u00e1s r\u00e1pido que los pa\u00edses que exportan bienes relativamente simples. Seg\u00fan la complejidad de su canasta exportadora en 2013, Colombia ocupa el puesto 53 entre 124 pa\u00edses. La tasa de crecimiento proyectada para Colombia con base en su complejidad y su nivel de desarrollo es 3,3% por a\u00f1o en el per\u00edodo 2013-2023.", + "country.show.export_complexity_possibilities.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los productos de exportaci\u00f3n\" (o mapa de los productos) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud tecnol\u00f3gica entre todos los productos de exportaci\u00f3n, seg\u00fan los patrones de exportaci\u00f3n de todos los pa\u00edses. Cada punto o nodo representa un producto; los nodos conectados entre s\u00ed requieren capacidades productivas semejantes. Los productos que est\u00e1n m\u00e1s conectados tienden a agruparse en el centro de la red, lo cual implica que las capacidades que ellos usan pueden ser utilizadas en la producci\u00f3n de muchos otros productos.", + "country.show.export_complexity_possibilities.copy.p3": "Los puntos que aparecen destacados representan productos que Colombia exporta en cantidades relativamente importantes (m\u00e1s exactamente, con ventaja comparativa revelada mayor de uno, v\u00e9ase el Glosario). Los colores representan grupos de productos (son los mismos colores usados para los sectores correspondientes en el mapa de similitud tecnol\u00f3gica presentado arriba). El gr\u00e1fico que aparece m\u00e1s abajo, junto con el cuadro que lo acompa\u00f1a, indica qu\u00e9 productos ofrecen las mejores posibilidades para Colombia, dadas las capacidades productivas que ya tiene el pa\u00eds y que tan \u2018distantes\u2019 son esas capacidades de las que requieren para exportar otras cosas. ", + "country.show.exports": "Exportaciones", + "country.show.exports.copy.p1": "Colombia export\u00f3 US$54,8 miles de millones en 2014, comparado con $58,8 miles de millones en 2013 y $60,1 miles de millones en 2012. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Venezuela, Ecuador y Per\u00fa. En 2014, los productos mineros (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 59,3% de las exportaciones totales de bienes; los productos manufacturados 35,6%, y los productos agr\u00edcolas 4,6%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", + "country.show.exports_composition_by_department": "Composici\u00f3n de las exportaciones por departamento ({{year}})", + "country.show.exports_composition_by_products": "Composici\u00f3n de las exportaciones ({{year}})", + "country.show.gdp": "Col $756,152 bill", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Complejidad de los sectores productivos", + "country.show.industry_complex.copy.p1": "La complejidad de los sectores productivos, que se cuantifica mediante el \u00cdndice de Complejidad del Sector, es una media de la amplitud de las capacidades y habilidades \u2013know-how\u2013 que se requiere en un sector productivo. Se dice que sectores tales como qu\u00edmicos o maquinaria son altamente complejos porque requieren un nivel sofisticado de conocimientos productivos que solo es factible encontrar en grandes empresas donde interact\u00faa un n\u00famero de individuos altamente capacitados. En contraste, sectores como el comercio minorista o restaurantes requieren solo niveles b\u00e1sicos de capacitaci\u00f3n que pueden encontrarse incluso en una peque\u00f1a empresa familiar. Los sectores m\u00e1s complejos son m\u00e1s productivos y contribuyen m\u00e1s a elevar el ingreso per c\u00e1pita. Los departamentos y ciudades con sectores m\u00e1s complejos tienen una base productiva m\u00e1s diversificada y tienden a crear m\u00e1s empleo formal.", + "country.show.industry_complex.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los sectores\" (o mapa de los sectores) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud de las capacidades y habilidades entre pares de sectores. Cada punto (o nodo) representa un sector; los nodos conectados por l\u00edneas requieren capacidades semejantes. Los sectores con m\u00e1s conexiones usan capacidades que pueden ser utilizadas en muchos otros sectores. Los colores representan grupos de sectores.", + "country.show.industry_space": "Mapa de los sectores", + "country.show.nonag_farmsize": "", + "country.show.occupation.num_vac": "Vacantes anunciadas (2014)", + "country.show.population": "48,1 millones", + "country.show.product_space": "Mapa de los productos", + "country.show.total": "Totales", + "ctas.csv": "CSV", + "ctas.download": "Descargue estos datos", + "ctas.embed": "Insertar", + "ctas.excel": "Excel", + "ctas.export": "Exportar", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Compartir", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ",", + "downloads.cta_download": "Descargar", + "downloads.cta_na": "No disponible", + "downloads.head": "Acerca de los datos", + "downloads.industry_copy": "La Planilla Integrada de Aportes Laborales, PILA, del Ministerio de Salud, es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector. La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). La lista de los sectores productivos puede verse en las bases de datos descargables de sectores. Puede descargarse aqu\u00ed un archivo con la lista de los sectores productivos del CIIU los cu\u00e1les no aparecen representados en el mapa de los sectores (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.industry_head": "Datos de sectores productivos (PILA)", + "downloads.industry_row_1": "Empleo, salarios, n\u00famero de empresas e indicadores de complejidad productiva ({{yearRange}})", + "downloads.list_of_cities.header": "Listas de departamentos, ciudades y municipios", + "downloads.map.cell": "Datos del mapa", + "downloads.map.header": "Mapa", + "downloads.occupations_copy": "Todos los datos sobre las ocupaciones (salarios ofrecidos por ocupaci\u00f3n y sector, y estructura ocupacional por sector) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos fueron procesados \u200b\u200bpor Jeisson Arley Rubio C\u00e1rdenas, investigador de la Universidad del Rosario, Bogot\u00e1, y Jaime Mauricio Monta\u00f1a Doncel, estudiante de maestr\u00eda en la Escuela de Econom\u00eda de Par\u00eds.", + "downloads.occupations_head": "Datos de ocupaciones", + "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2014)", + "downloads.other_copy": "El Departamento Administrativo Nacional de Estad\u00edstica, DANE, es la fuente de todos los datos sobre el PIB y la poblaci\u00f3n.", + "downloads.other_head": "Otros datos (DANE)", + "downloads.other_row_1": "PIB y variables demogr\u00e1ficas", + "downloads.thead_departments": "Departamentos", + "downloads.thead_met": "Ciudades", + "downloads.thead_muni": "Municipios", + "downloads.thead_national": "Nacional", + "downloads.trade_copy": "La fuente de todos los datos sobre las exportaciones e importaciones por departamento y municipio es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, DIAN. Colombia utiliza la nomenclatura arancelaria NANDINA, la cual calza a los seis d\u00edgitos con el Sistema Armonizado (SA) de clasificaci\u00f3n internacional de productos. Eso lo estandarizamos despu\u00e9s a SA (HS) 1992 para resolver cualquier inconsistencia entre las versiones a trav\u00e9s de los a\u00f1os, de manera tal que los datos se puedan visualizar en el tiempo. La lista de partidas arancelarias puede verse en las bases de datos descargables de exportaci\u00f3n e importaci\u00f3n.

El origen de las exportaciones se establece en dos etapas. Primero, se define el departamento de origen como es el \u00faltimo lugar donde tuvieron alg\u00fan procesamiento, ensamblaje o empaque, seg\u00fan la DIAN. Luego, se distribuyen los valores entre municipios seg\u00fan la composici\u00f3n del empleo de la firma correspondiente con base en la PILA (para las firmas sin esta informaci\u00f3n se asign\u00f3 el valor total a la capital del departamento). En el caso de las exportaciones de petr\u00f3leo (2709) y gas (2711), los valores totales se distribuyeron por origen seg\u00fan la producci\u00f3n por municipios (Agencia Nacional de Hidrocarburos y Asociaci\u00f3n Colombiana de Petr\u00f3leo) y en el caso de las exportaciones de refinados de petr\u00f3leo (2710) seg\u00fan el valor agregado por municipio (sectores 2231, 2322 y 2320 CIIU revisi\u00f3n 3, Encuesta Anual Manufacturera, DANE).

Los totales de exportaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las exportaciones sin informaci\u00f3n sobre el sector del exportador y/o el departamento o municipio de origen, y (b) las exportaciones que en los datos de la DIAN tienen como destino las zonas francas; mientras que quedan incluidas: (c) las exportaciones de las zonas francas, que la DIAN no incluye en dichos totales.

De forma semejante, los totales de importaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las importaciones sin informaci\u00f3n sobre el departamento o municipio de destino, y (b) las importaciones que en los datos de la DIAN tienen como origen las zonas francas; mientras que quedan incluidas: (c) las importaciones realizadas por las zonas francas, que la DIAN no incluye en dichos totales.

El archivo que describe la correspondencia entre la versi\u00f3n del Sistema Armonizado (HS) utilizado por la DIAN y su revisi\u00f3n de 1992 puede encontrarse aqu\u00ed.

Tambi\u00e9n puede descargarse aqu\u00ed un archivo con la lista de los productos del Sistema Armonizado los cu\u00e1les no aparecen representados en el mapa del producto (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.trade_head": "Datos de exportaciones e importaciones (DIAN)", + "downloads.trade_row_1": "Exportaciones, importaciones e indicadores de complejidad ({{yearRange}})", + "downloads.trade_row_2": "Exportaciones e importaciones con origen y destino ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Productos", + "general.geo": "Mapa geogr\u00e1fico", + "general.glossary": "Glosario", + "general.industries": "Sectores", + "general.industry": "sector", + "general.location": "lugar", + "general.locations": "Lugares", + "general.multiples": "Gr\u00e1ficos de \u00e1reas", + "general.occupation": "ocupaci\u00f3n", + "general.occupations": "Ocupaciones", + "general.product": "producto", + "general.scatter": "Gr\u00e1fico de dispersi\u00f3n", + "general.similarity": "mapa de los sectores", + "general.total": "Totales", + "general.treemap": "Gr\u00e1fico de composici\u00f3n", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glosario", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "", + "graph_builder.builder_mod_header.industry.cities.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.cities.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.departments.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.departments.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.locations.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.locations.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total de vacantes", + "graph_builder.builder_mod_header.landUse.departments.area": "", + "graph_builder.builder_mod_header.landUse.municipalities.area": "", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "", + "graph_builder.builder_mod_header.location.industries.employment": "Empleo total", + "graph_builder.builder_mod_header.location.industries.scatter": "Complejidad, distancia y valor estrat\u00e9gico de sectores potenciales ", + "graph_builder.builder_mod_header.location.industries.similarity": "Sectores con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.location.industries.wages": "Salarios totales", + "graph_builder.builder_mod_header.location.landUses.area": "", + "graph_builder.builder_mod_header.location.livestock.num_farms": "", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "", + "graph_builder.builder_mod_header.location.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.partners.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.products.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.scatter": "Complejidad, distancia y valor estrat\u00e9gico de exportaciones potenciales", + "graph_builder.builder_mod_header.location.products.similarity": "Exportaciones con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.product.cities.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.cities.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.departments.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.departments.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.partners.import_value": "Importaciones totales", + "graph_builder.builder_nav.header": "M\u00e1s gr\u00e1ficos para este {{entity}}", + "graph_builder.builder_nav.intro": "Seleccione una pregunta para ver el gr\u00e1fico correspondiente. Si en la pregunta faltan par\u00e1metros ({{icon}}), los podr\u00e1 llenar cuando haga click.", + "graph_builder.builder_questions.city": "Preguntas: ciudades", + "graph_builder.builder_questions.department": "Preguntas: departamentos", + "graph_builder.builder_questions.employment": "Preguntas: empleo", + "graph_builder.builder_questions.export": "Preguntas: exportaciones", + "graph_builder.builder_questions.import": "Preguntas: importaciones", + "graph_builder.builder_questions.industry": "Preguntas: sectores", + "graph_builder.builder_questions.landUse": "", + "graph_builder.builder_questions.location": "Preguntas: lugares", + "graph_builder.builder_questions.occupation": "Preguntas: ocupaciones", + "graph_builder.builder_questions.partner": "Preguntas: socios comerciales", + "graph_builder.builder_questions.product": "Preguntas: productos de exportaci\u00f3n", + "graph_builder.builder_questions.wage": "Preguntas: n\u00f3mina salarial", + "graph_builder.change_graph.geo_description": "Mapea los datos", + "graph_builder.change_graph.label": "Cambie el gr\u00e1fico", + "graph_builder.change_graph.multiples_description": "Muestra el crecimiento en varios per\u00edodos", + "graph_builder.change_graph.scatter_description": "Muestra la complejidad y la distancia", + "graph_builder.change_graph.similarity_description": "Presenta las ventajas comparativas reveladas", + "graph_builder.change_graph.treemap_description": "Muestra la descomposici\u00f3n en varios niveles", + "graph_builder.change_graph.unavailable": "Este gr\u00e1fico no est\u00e1 disponible para esta pregunta", + "graph_builder.download.agproduct": "", + "graph_builder.download.area": "", + "graph_builder.download.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.download.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.download.code": "C\u00f3digo", + "graph_builder.download.cog": "Valor estrat\u00e9gico", + "graph_builder.download.complexity": "Complejidad", + "graph_builder.download.distance": "Distancia", + "graph_builder.download.eci": "Complejidad exportadora", + "graph_builder.download.employment": "Empleo", + "graph_builder.download.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.download.export": "Exportaci\u00f3n", + "graph_builder.download.export_num_plants": "N\u00famero de empresas", + "graph_builder.download.export_rca": "Ventaja comparativa revelada", + "graph_builder.download.export_value": "Exportaciones, USD", + "graph_builder.download.farmtype": "", + "graph_builder.download.gdp_pc_real": "PIB per c\u00e1pita, Col $", + "graph_builder.download.gdp_real": "PIB, Col $", + "graph_builder.download.import_value": "Importaciones, USD", + "graph_builder.download.industry": "Sector", + "graph_builder.download.industry_eci": "Complejidad sectorial", + "graph_builder.download.land_harvested": "", + "graph_builder.download.land_sown": "", + "graph_builder.download.land_use": "", + "graph_builder.download.less_than_5": "Menos de 5", + "graph_builder.download.livestock": "", + "graph_builder.download.location": "Lugar", + "graph_builder.download.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.download.name": "Nombre", + "graph_builder.download.num_establishments": "N\u00famero de empresas", + "graph_builder.download.num_farms": "", + "graph_builder.download.num_livestock": "", + "graph_builder.download.num_vacancies": "Vacantes", + "graph_builder.download.occupation": "Ocupaci\u00f3n", + "graph_builder.download.parent": "Grupo", + "graph_builder.download.population": "Poblaci\u00f3n", + "graph_builder.download.production_tons": "", + "graph_builder.download.rca": "Ventaja comparativa revelada", + "graph_builder.download.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.download.wages": "N\u00f3mina salarial total, Col$ ", + "graph_builder.download.year": "A\u00f1o", + "graph_builder.download.yield_index": "", + "graph_builder.download.yield_ratio": "", + "graph_builder.explanation": "Explicaci\u00f3n", + "graph_builder.explanation.agproduct.departments.land_harvested": "", + "graph_builder.explanation.agproduct.departments.land_sown": "", + "graph_builder.explanation.agproduct.departments.production_tons": "", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "", + "graph_builder.explanation.agproduct.municipalities.land_sown": "", + "graph_builder.explanation.agproduct.municipalities.production_tons": "", + "graph_builder.explanation.hide": "Oculte", + "graph_builder.explanation.industry.cities.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.cities.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Muestra la composici\u00f3n de las vacantes anunciadas en sitios de Internet y los salarios ofrecidos.", + "graph_builder.explanation.landUse.departments.area": "", + "graph_builder.explanation.landUse.municipalities.area": "", + "graph_builder.explanation.location.agproducts.land_harvested": "", + "graph_builder.explanation.location.agproducts.land_sown": "", + "graph_builder.explanation.location.agproducts.production_tons": "", + "graph_builder.explanation.location.farmtypes.num_farms": "", + "graph_builder.explanation.location.industries.employment": "Muestra la composici\u00f3n sectorial del empleo formal del departamento. Fuente: PILA.", + "graph_builder.explanation.location.industries.scatter": "Cada punto representa un sector productivo. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del lugar en ese sector. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad sectorial y el eje horizontal es la distancia tecnol\u00f3gica para que el sector se desarrolle, dadas las capacidades que ya existen en el lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del sector para el lugar, es decir qu\u00e9 tanto puede contribuir el sector al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles en otros sectores. Los sectores m\u00e1s atractivos son los ubicados arriba y a la izquierda, especialmente si los puntos que los representan son grandes. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.similarity": "El mapa de similitud tecnol\u00f3gica de los sectores (o mapa de los sectores) muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores y otros. Cada punto representa un sector productivo y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Los puntos coloreados son sectores con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en el cuadro que sigue). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros sectores. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.wages": "Muestra la composici\u00f3n sectorial de la n\u00f3mina salarial del departamento o ciudad. Fuente: PILA.", + "graph_builder.explanation.location.landUses.area": "", + "graph_builder.explanation.location.livestock.num_farms": "", + "graph_builder.explanation.location.livestock.num_livestock": "", + "graph_builder.explanation.location.partners.export_value": "Muestra la composici\u00f3n de las exportaciones de este lugar por pa\u00eds de destino, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Muestra la composici\u00f3n de las importaciones de este lugar por pa\u00eds de origen, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.products.export_value": "Muestra la composici\u00f3n de las exportaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.import_value": "Muestra la composici\u00f3n de las importaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.scatter": "Cada punto representa un producto de exportaci\u00f3n. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del departamento o ciudad en ese producto. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad del producto y el eje horizontal es la distancia tecnol\u00f3gica para poder exportar un producto, dadas las capacidades que ya existen en el lugar. La l\u00ednea discontinua es el \u00edndice de complejidad sectorial promedio del lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del producto para el departamento o ciudad, es decir qu\u00e9 tanto puede contribuir el producto al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles para otras exportaciones. Las exportaciones m\u00e1s atractivas de desarrollar son las ubicadas arriba y a la izquierda, especialmente si los puntos que las representan son grandes. Fuente: c\u00e1lculos del CID con datos de la DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.location.products.similarity": "El mapa de similitud tecnol\u00f3gica de los productos (o mapa de los productos) muestra que tan similares son los conocimientos requeridos por unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Los puntos coloreados son exportaciones con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de productos (v\u00e9ase el cuadro). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros productos. Fuente: c\u00e1lculos del CID con datos de DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.product.cities.export_value": "Muestra la composici\u00f3n por ciudades de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Muestra la composici\u00f3n por ciudades de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Muestra la composici\u00f3n por departamentos de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Muestra la composici\u00f3n por departamentos de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Muestra el destino de las exportaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Muestra el origen de las importaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.show": "Muestre m\u00e1s", + "graph_builder.multiples.show_all": "Mostrar todo", + "graph_builder.page_title.agproduct.departments.land_harvested": "", + "graph_builder.page_title.agproduct.departments.land_sown": "", + "graph_builder.page_title.agproduct.departments.production_tons": "", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "", + "graph_builder.page_title.agproduct.municipalities.land_sown": "", + "graph_builder.page_title.agproduct.municipalities.production_tons": "", + "graph_builder.page_title.industry.cities.employment": "\u00bfQu\u00e9 ciudades en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.cities.wages": "\u00bfQu\u00e9 ciudades en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.departments.employment": "\u00bfQu\u00e9 departamentos en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.departments.wages": "\u00bfQu\u00e9 departamentos en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.occupations.num_vacancies": "\u00bfQu\u00e9 ocupaciones demanda este sector?", + "graph_builder.page_title.landUse.departments.area": "", + "graph_builder.page_title.landUse.municipalities.area": "", + "graph_builder.page_title.location.agproducts.land_harvested.country": "", + "graph_builder.page_title.location.agproducts.land_harvested.department": "", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "", + "graph_builder.page_title.location.agproducts.land_sown.country": "", + "graph_builder.page_title.location.agproducts.land_sown.department": "", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "", + "graph_builder.page_title.location.agproducts.production_tons.country": "", + "graph_builder.page_title.location.agproducts.production_tons.department": "", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "", + "graph_builder.page_title.location.destination_by_product.export_value.department": "\u00bfA qu\u00e9 pa\u00edses env\u00eda este departamento sus exportaciones de petr\u00f3leo?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "\u00bfDe qu\u00e9 pa\u00edses recibe este departamento sus importaciones de veh\u00edculos?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "", + "graph_builder.page_title.location.farmtypes.num_farms.department": "", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "", + "graph_builder.page_title.location.industries.employment.country": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en Colombia?", + "graph_builder.page_title.location.industries.employment.department": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este departamento?", + "graph_builder.page_title.location.industries.employment.msa": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en esta ciudad?", + "graph_builder.page_title.location.industries.employment.municipality": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este municipio?", + "graph_builder.page_title.location.industries.scatter.country": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este departamento?", + "graph_builder.page_title.location.industries.scatter.msa": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en esta ciudad?", + "graph_builder.page_title.location.industries.scatter.municipality": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este municipio?", + "graph_builder.page_title.location.industries.similarity.country": "\u00bfC\u00f3mo es el mapa de los sectores de Colombia?", + "graph_builder.page_title.location.industries.similarity.department": "\u00bfC\u00f3mo es el mapa de los sectores de este departamento?", + "graph_builder.page_title.location.industries.similarity.msa": "\u00bfC\u00f3mo es el mapa de los sectores de esta ciudad?", + "graph_builder.page_title.location.industries.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los sectores de este municipio?", + "graph_builder.page_title.location.industries.wages.country": "\u00bfQu\u00e9 sectores en Colombia tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.department": "\u00bfQu\u00e9 sectores en este departamento tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.msa": "\u00bfQu\u00e9 sectores en esta ciudad tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.municipality": "\u00bfQu\u00e9 sectores en este municipio tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.landUses.area.country": "", + "graph_builder.page_title.location.landUses.area.department": "", + "graph_builder.page_title.location.landUses.area.municipality": "", + "graph_builder.page_title.location.livestock.num_farms.country": "", + "graph_builder.page_title.location.livestock.num_farms.department": "", + "graph_builder.page_title.location.livestock.num_farms.municipality": "", + "graph_builder.page_title.location.livestock.num_livestock.country": "", + "graph_builder.page_title.location.livestock.num_livestock.department": "", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "", + "graph_builder.page_title.location.partners.export_value.country": "\u00bfA qu\u00e9 pa\u00edses exporta Colombia?", + "graph_builder.page_title.location.partners.export_value.department": "\u00bfA qu\u00e9 pa\u00edses exporta este departamento?", + "graph_builder.page_title.location.partners.export_value.msa": "\u00bfA qu\u00e9 pa\u00edses exporta esta ciudad?", + "graph_builder.page_title.location.partners.export_value.municipality": "\u00bfA qu\u00e9 pa\u00edses exporta este municipio?", + "graph_builder.page_title.location.partners.import_value.country": "\u00bfDe d\u00f3nde vienen las importaciones de Colombia?", + "graph_builder.page_title.location.partners.import_value.department": "\u00bfDe d\u00f3nde vienen las importaciones de este departamento?", + "graph_builder.page_title.location.partners.import_value.msa": "\u00bfDe d\u00f3nde vienen las importaciones de esta ciudad?", + "graph_builder.page_title.location.partners.import_value.municipality": "\u00bfDe d\u00f3nde vienen las importaciones de este municipio?", + "graph_builder.page_title.location.products.export_value.country": "\u00bfQu\u00e9 productos exporta Colombia?", + "graph_builder.page_title.location.products.export_value.department": "\u00bfQu\u00e9 productos exporta este departamento?", + "graph_builder.page_title.location.products.export_value.msa": "\u00bfQu\u00e9 productos exporta esta ciudad?", + "graph_builder.page_title.location.products.export_value.municipality": "\u00bfQu\u00e9 productos exporta este municipio?", + "graph_builder.page_title.location.products.import_value.country": "\u00bfQu\u00e9 productos importa Colombia?", + "graph_builder.page_title.location.products.import_value.department": "\u00bfQu\u00e9 productos importa este departamento?", + "graph_builder.page_title.location.products.import_value.msa": "\u00bfQu\u00e9 productos importa esta ciudad?", + "graph_builder.page_title.location.products.import_value.municipality": "\u00bfQu\u00e9 productos importa este municipio?", + "graph_builder.page_title.location.products.scatter.country": "\u00bfQu\u00e9 productos tienen el mayor potencial para Colombia?", + "graph_builder.page_title.location.products.scatter.department": "\u00bfQu\u00e9 productos tienen el mayor potencial para este departamento?", + "graph_builder.page_title.location.products.scatter.msa": "\u00bfQu\u00e9 productos tienen el mayor potencial para esta ciudad?", + "graph_builder.page_title.location.products.scatter.municipality": "\u00bfQu\u00e9 productos tienen el mayor potencial para este municipio?", + "graph_builder.page_title.location.products.similarity.country": "\u00bfC\u00f3mo es el mapa de los productos de Colombia?", + "graph_builder.page_title.location.products.similarity.department": "\u00bfC\u00f3mo es el mapa de los productos de este departamento?", + "graph_builder.page_title.location.products.similarity.msa": "\u00bfC\u00f3mo es el mapa de los productos de esta ciudad?", + "graph_builder.page_title.location.products.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los productos de este municipio?", + "graph_builder.page_title.product.cities.export_value": "\u00bfQu\u00e9 ciudades en Colombia exportan este producto?", + "graph_builder.page_title.product.cities.import_value": "\u00bfQu\u00e9 ciudades en Colombia importan este producto?", + "graph_builder.page_title.product.departments.export_value": "\u00bfQu\u00e9 departamentos en Colombia exportan este producto?", + "graph_builder.page_title.product.departments.import_value": "\u00bfQu\u00e9 departamentos en Colombia importan este producto?", + "graph_builder.page_title.product.partners.export_value": "\u00bfA d\u00f3nde exporta Colombia este producto?", + "graph_builder.page_title.product.partners.export_value.destination": "\u00bfA qu\u00e9 pa\u00edses env\u00eda {{location}} sus exportaciones de {{product}}?", + "graph_builder.page_title.product.partners.import_value": "\u00bfDe d\u00f3nde importa Colombia este producto?", + "graph_builder.page_title.product.partners.import_value.origin": "\u00bfDe qu\u00e9 pa\u00edses recibe {{location}} sus importaciones de {{product}}?", + "graph_builder.questions.label": "Cambiar pregunta", + "graph_builder.recirc.header.industry": "Lea el perfil de este sector", + "graph_builder.recirc.header.location": "Lea el perfil de este lugar", + "graph_builder.recirc.header.product": "Lea el perfil de este producto", + "graph_builder.search.placeholder.agproducts": "", + "graph_builder.search.placeholder.cities": "Destaque una ciudad en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.departments": "Destaque un departamento en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.farmtypes": "", + "graph_builder.search.placeholder.industries": "Destaque un sector en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.landUses": "", + "graph_builder.search.placeholder.livestock": "", + "graph_builder.search.placeholder.locations": "Destaque un lugar en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.municipalities": "", + "graph_builder.search.placeholder.occupations": "Destaque una ocupaci\u00f3n en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.partners": "Resaltar socios comerciales en la gr\u00e1fica inferior", + "graph_builder.search.placeholder.products": "Destaque un producto en el gr\u00e1fico siguiente", + "graph_builder.search.submit": "Destacar", + "graph_builder.settings.change_time": "Cambiar per\u00edodo", + "graph_builder.settings.close_settings": "Archive y cierre", + "graph_builder.settings.label": "Cambiar caracter\u00edsticas", + "graph_builder.settings.rca": "Ventaja comparativa revelada", + "graph_builder.settings.rca.all": "Todo", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "a", + "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year.next": "Siguiente", + "graph_builder.settings.year.previous": "Anterior", + "graph_builder.table.agproduct": "", + "graph_builder.table.area": "", + "graph_builder.table.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.table.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.table.code": "C\u00f3digo", + "graph_builder.table.cog": "Valor estrat\u00e9gico", + "graph_builder.table.coi": "Complejidad exportadora potencial", + "graph_builder.table.complexity": "Complejidad", + "graph_builder.table.country": "Pa\u00eds", + "graph_builder.table.distance": "Distancia", + "graph_builder.table.eci": "Complejidad exportadora", + "graph_builder.table.employment": "Empleo", + "graph_builder.table.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.table.export": "Exportaci\u00f3n", + "graph_builder.table.export_num_plants": "N\u00famero de empresas", + "graph_builder.table.export_rca": "Ventaja comparativa revelada", + "graph_builder.table.export_value": "Exportaciones, USD", + "graph_builder.table.farmtype": "", + "graph_builder.table.gdp_pc_real": "PIB per c\u00e1pita", + "graph_builder.table.gdp_real": "PIB", + "graph_builder.table.import_value": "Importaciones, USD", + "graph_builder.table.industry": "Sector", + "graph_builder.table.industry_coi": "Complejidad sectorial potencial", + "graph_builder.table.industry_eci": "Complejidad sectorial", + "graph_builder.table.land_harvested": "", + "graph_builder.table.land_sown": "", + "graph_builder.table.land_use": "", + "graph_builder.table.less_than_5": "Menos de 5", + "graph_builder.table.livestock": "", + "graph_builder.table.location": "Lugar", + "graph_builder.table.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.table.name": "Nombre", + "graph_builder.table.num_establishments": "N\u00famero de empresas", + "graph_builder.table.num_farms": "", + "graph_builder.table.num_livestock": "", + "graph_builder.table.num_vacancies": "Vacantes", + "graph_builder.table.occupation": "Ocupaci\u00f3n", + "graph_builder.table.parent": "Grupo", + "graph_builder.table.parent.country": "Regi\u00f3n", + "graph_builder.table.population": "Poblaci\u00f3n", + "graph_builder.table.production_tons": "", + "graph_builder.table.rca": "Ventaja comparativa revelada", + "graph_builder.table.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.table.share": "Participaci\u00f3n", + "graph_builder.table.wages": "N\u00f3mina salarial total, Col$ (miles)", + "graph_builder.table.year": "A\u00f1o", + "graph_builder.table.yield_index": "", + "graph_builder.table.yield_ratio": "", + "graph_builder.view_more": "Muestre m\u00e1s", + "header.destination": "Destino", + "header.destination_by_products": "Destinos por productos", + "header.employment": "Empleo", + "header.export": "Exportaciones", + "header.import": "Importaciones", + "header.industry": "Sectores", + "header.industry_potential": "Potencial", + "header.industry_space": "Mapa de los sectores ", + "header.landUse": "", + "header.land_harvested": "", + "header.land_sown": "", + "header.occupation": "Ocupaciones", + "header.occupation.available_jobs": "Vacantes anunciadas", + "header.origin": "Origen", + "header.origin_by_products": "Origen por productos", + "header.overview": "Resumen", + "header.partner": "Socios comerciales", + "header.product": "Productos ", + "header.product_potential": "Potencial", + "header.product_space": "Mapa de los productos", + "header.production_tons": "", + "header.region": "Por departamento", + "header.subregion": "Por ciudad", + "header.subsubregion": "", + "header.wage": "N\u00f3mina total", + "index.builder_cta": "Explore las gr\u00e1ficas sobre el caf\u00e9", + "index.builder_head": "Luego vaya al graficador", + "index.builder_subhead": "Haga sus propios gr\u00e1ficos y mapas", + "index.complexity_caption": "\u00bfQu\u00e9 tan bueno es este enfoque? Las predicciones de crecimiento basadas en la complejidad son seis veces m\u00e1s preocsas que las basadas en variables convencionales, como los \u00cdndice de Competitividad Mundial. ", + "index.complexity_cta": "Lea m\u00e1s sobre los conceptos de complejidad", + "index.complexity_figure.WEF_name": "\u00cdndice de Competitividad Mundial", + "index.complexity_figure.complexity_name": "\u00cdndice de complejidad econ\u00f3mica", + "index.complexity_figure.head": "Crecimiento econ\u00f3mico explicado (% de la varianza decenal)", + "index.complexity_head": "La ventaja de la complejidad", + "index.complexity_subhead": "Los pa\u00edses que exportan productos complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido que los que exportan materias primas. Usando los m\u00e9todos para medir y visualizar la complejidad desarrollados por la Universidad de Harvard, Datlas permite explorar las posibilidades productivas y de exportaci\u00f3n de los departamentos y ciudades colombianas.", + "index.country_profile": "Lea el perfil de Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.future_head": "Avizorando el futuro", + "index.future_subhead": "Los gr\u00e1ficos de dispersi\u00f3n y diagramas de redes permiten encontrar los sectores productivos que tienen las mejores posibilidades en un departamento o ciudad.", + "index.graphbuilder.id": "87", + "index.header_h1": "El Atlas Colombiano de Complejidad Econ\u00f3mica", + "index.header_head": "Colombia como usted nunca la ha visto", + "index.header_subhead": "Visualice las posibilidades de cualquier sector, cualquier producto de exportaci\u00f3n o cualquier lugar en Colombia.", + "index.industry_head": "Ent\u00e9rese de un sector", + "index.industry_q1": "\u00bfD\u00f3nde emplea m\u00e1s gente la industria qu\u00edmica en Colombia?", + "index.industry_q1.id": "461", + "index.industry_q2": "\u00bfQu\u00e9 ocupaciones demanda la industria qu\u00edmica?", + "index.industry_q2.id": "461", + "index.location_head": "Aprenda sobre un lugar", + "index.location_q1": "\u00bfQu\u00e9 sectores emplean m\u00e1s gente en Bogot\u00e1 Met?", + "index.location_q1.id": "41", + "index.location_q2": "\u00bfQu\u00e9 exportaciones tienen el mayor potencial en Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "Vea todas las preguntas", + "index.present_head": "Mapeando el presente", + "index.present_subhead": "Utilice nuestros diagramas de composici\u00f3n para estudiar las exportaciones o el empleo formal de su departamento, su ciudad o su municipio.", + "index.product_head": "Aprenda sobre un producto de exportaci\u00f3n", + "index.product_q1": "\u00bfQu\u00e9 lugares de Colombia exportan computadores?", + "index.product_q1.id": "1143", + "index.product_q2": "\u00bfQu\u00e9 lugares de Colombia importan computadores?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Lea el perfil de Antioquia", + "index.profiles_head": "Comience por los perfiles", + "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", + "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Investigaci\u00f3n mencionada en", + "industry.show.avg_wages": "Salarios promedio ({{year}})", + "industry.show.employment": "Empleo ({{year}})", + "industry.show.employment_and_wages": "Empleo formal y salarios", + "industry.show.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "industry.show.industries": "Sectores", + "industry.show.industry_composition": "Composici\u00f3n del sector ({{year}})", + "industry.show.occupation": "Ocupaciones", + "industry.show.occupation_demand": "Ocupaciones m\u00e1s demandadas en este sector, 2014", + "industry.show.value": "Valor", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "departamento", + "location.model.msa": "ciudad", + "location.model.municipality": "municipio", + "location.show.ag_farmsize": "", + "location.show.all_departments": "Comparaci\u00f3n con otros departamentos", + "location.show.all_regions": "En comparaci\u00f3n con los otros lugares", + "location.show.bullet.gdp_grow_rate": "La tasa de crecimiento del PIB en el per\u00edodo {{yearRange}} fue {{gdpGrowth}}, comparada con 5,3% para toda Colombia.", + "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$15,1 millones para toda Colombia en 2014.", + "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 46,3 millones de personas en todo el pa\u00eds en 2014.", + "location.show.eci": "Complejidad exportadora", + "location.show.employment": "Empleo total ({{lastYear}})", + "location.show.employment_and_wages": "Empleo formal y salarios", + "location.show.export_possiblities": "Posibilidades de exportaci\u00f3n", + "location.show.export_possiblities.footer": "Los productos indicados pueden no ser viables debido a condiciones del lugar que no se consideran en el an\u00e1lisis de similitud tecnol\u00f3gica.", + "location.show.export_possiblities.intro": "Hemos encontrado que los pa\u00edses que exportan productos m\u00e1s complejos crecen m\u00e1s r\u00e1pido. Usando el \"mapa del producto\" presentado arriba, estamos destacando productos de alto potencial para {{name}}, ordenados por las mejores combinaciones de complejidad actual y valor estrat\u00e9gico.", + "location.show.exports": "Exportaciones ({{year}})", + "location.show.exports_and_imports": "Exportaciones e importaciones", + "location.show.gdp": "PIB", + "location.show.gdp_pc": "PIB per c\u00e1pita", + "location.show.growth_annual": "Tasa de crecimiento ({{yearRange}})", + "location.show.imports": "Importaciones ({{year}})", + "location.show.nonag_farmsize": "", + "location.show.overview": "", + "location.show.population": "Poblaci\u00f3n", + "location.show.subregion.exports": "Composici\u00f3n de exportaciones por municipio ({{year}})", + "location.show.subregion.imports": "Composici\u00f3n de importaciones por municipio ({{year}})", + "location.show.subregion.title": "Exportaciones e importaciones por municipio", + "location.show.total_wages": "N\u00f3mina salarial ({{lastYear}})", + "location.show.value": "Valor", + "pageheader.about": "Acerca de Datlas", + "pageheader.alternative_title": "Atlas de complejidad econ\u00f3mica", + "pageheader.brand_slogan": "Colombia como usted nunca la ha visto", + "pageheader.download": "Acerca de los datos", + "pageheader.graph_builder_link": "Graficador", + "pageheader.profile_link": "Perfil", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Buscar", + "pageheader.search_placeholder": "Busque un lugar, producto o sector", + "pageheader.search_placeholder.industry": "Busque un sector", + "pageheader.search_placeholder.location": "Busque un lugar", + "pageheader.search_placeholder.product": "Busque un producto", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explicaci\u00f3n", + "rankings.intro.p": "Comparaci\u00f3n entre departamentos o ciudades", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Ciudades", + "rankings.section.departments": "Departamentos", + "rankings.table-title": "Posici\u00f3n", + "search.didnt_find": "\u00bfEncontr\u00f3 lo que buscaba? Nos interesa saber: Datlascolombia@bancoldex.com", + "search.header": "resultados", + "search.intro": "Busque el lugar, producto, sector u ocupaci\u00f3n que le interese", + "search.level.4digit": "Partida arancelaria (1992) a cuatro d\u00edgitos", + "search.level.class": "CIIU a cuatro d\u00edgitos", + "search.level.country": "Pa\u00eds", + "search.level.department": "Departamento", + "search.level.division": "CIIU a dos d\u00edgitos", + "search.level.msa": "Ciudad", + "search.level.municipality": "Municipio", + "search.level.parent.4digit": "Partida arancelaria (1992) a dos d\u00edgitos", + "search.level.parent.class": "CIIU a dos d\u00edgitos", + "search.level.parent.country": "Regi\u00f3n", + "search.placeholder": "Escriba aqu\u00ed para buscar lo que quiere", + "search.results_industries": "Sectores", + "search.results_locations": "Lugares", + "search.results_products": "Productos", + "table.export_data": "Descargar Datos", + "thousands_delimiter": "." +}; \ No newline at end of file diff --git a/app/styles/components/_components/_button.scss b/app/styles/components/_components/_button.scss index f6546b8a..5b136487 100755 --- a/app/styles/components/_components/_button.scss +++ b/app/styles/components/_components/_button.scss @@ -53,12 +53,13 @@ button::-moz-focus-inner { } .btn--search { - background: $colorRed; + background: none; color: $colorWhite; - box-shadow: inset 0 -5px $colorRedDark; + border: solid 1px $colorWhite; width: 10rem; &:hover { - background: $colorRedDark; + color: $colorWhite; + opacity: 0.8; } } diff --git a/app/styles/components/_components/_search.scss b/app/styles/components/_components/_search.scss index 0b3c930f..9a253e19 100755 --- a/app/styles/components/_components/_search.scss +++ b/app/styles/components/_components/_search.scss @@ -6,13 +6,14 @@ .search__wrap { display: inline-block; - width: 60%; + width:100%; position: relative; .btn--search, .btn--buildermod { position: absolute; top: 0; right: 0; + } } @@ -32,6 +33,7 @@ width: 100%; height: 100%; font-family: $sans; + border: solid 1px $colorWhite; &:active, &:focus { outline: 0; diff --git a/app/styles/components/_components/_typography.scss b/app/styles/components/_components/_typography.scss index db571215..a332211b 100755 --- a/app/styles/components/_components/_typography.scss +++ b/app/styles/components/_components/_typography.scss @@ -9,13 +9,16 @@ body { font-size: $fontBase; font-weight: 500; color: $colorGrayDark; - font-family: $serif; + font-family: $sans; + margin: 0; + padding: 0; + width: 100%; } h1, h2, h3, h4, h5, p { margin: 0; padding: 0; - color: $colorBlack; + color: $colorWhite; } @@ -37,4 +40,4 @@ li > p { .fontSerif { font-family: $serif; font-style: normal !important; } .fontSansAlt { font-family: $sansAlt; font-style: normal !important; } .fontSansSC { font-family: $sansSC; text-transform: lowercase; font-style: normal !important; } -.fontSerifSC { font-family: $serifSC; text-transform: lowercase; font-style: normal !important; } \ No newline at end of file +.fontSerifSC { font-family: $serifSC; text-transform: lowercase; font-style: normal !important; } diff --git a/app/styles/components/_font-face.scss b/app/styles/components/_font-face.scss index 1f99f897..128afac0 100755 --- a/app/styles/components/_font-face.scss +++ b/app/styles/components/_font-face.scss @@ -14,6 +14,11 @@ font-style: normal; } +@font-face { + font-family: "RF Rufo"; + src: url('public/assets/font/RF_Rufo/RFRufo-Bold.ttf'); +} + [class^="icon-cidcon_"]::before, [class*=" icon-cidcon_"]::before { font-family: 'cidcons'; font-style: normal; diff --git a/app/styles/components/_modules/_builder.scss b/app/styles/components/_modules/_builder.scss index 4586109b..8626beb2 100755 --- a/app/styles/components/_modules/_builder.scss +++ b/app/styles/components/_modules/_builder.scss @@ -5,7 +5,8 @@ **/ .builder { - background: white; + background: $colorBase; + color: $colorWhite; } .builder__recirc { diff --git a/app/styles/components/_modules/_ember-table.scss b/app/styles/components/_modules/_ember-table.scss index 1f7b9678..10032ef1 100755 --- a/app/styles/components/_modules/_ember-table.scss +++ b/app/styles/components/_modules/_ember-table.scss @@ -10,7 +10,7 @@ } .ember-table-tables-container { - background: $colorGrayLightest; + background: $colorBase; border: none; margin-bottom: $baseSpace / 2; } diff --git a/app/styles/components/_modules/_index.scss b/app/styles/components/_modules/_index.scss index 0b410709..6d776610 100755 --- a/app/styles/components/_modules/_index.scss +++ b/app/styles/components/_modules/_index.scss @@ -7,9 +7,8 @@ .index { // background: $colorBrown200; } - .index__section { - padding: 0 $baseSpace * 3; + padding: 0; display: relative; } @@ -44,7 +43,6 @@ .stream__head.index__head { margin-bottom: $baseSpace; max-width: 100rem; - font-size: $fontXLarge; } .index__search__wrap { @@ -186,8 +184,9 @@ // Research featured in media grid .index__featuredin__wrap { margin: 0 $baseSpace*3; - background: $colorBrown300; + background: $colorBase; padding: $baseSpace * 2; + margin-top: 5rem !important; } .index__featuredin__list { @@ -221,7 +220,10 @@ margin: 0 auto; .section__head { - margin: $baseSpace*1.75 0 $baseSpace 0; + margin: $baseSpace*3 0 $baseSpace*3 0; + color: $colorYellow; + text-transform: uppercase; + font-size: 4rem; } } @@ -329,7 +331,7 @@ .index__questions__link { font-size: $fontSmall; display: block; - + &.index__questions__link--viewall { font-style: italic; font-weight: 400; @@ -405,3 +407,98 @@ .index__featuredin__wrap { margin: 0; } + +.stream__section__wrap__yellow{ + color: $colorYellow; + text-transform: uppercase; + font-size: 4rem; +} + +.stream__section__wrap__white{ + color: $colorWhite; + text-transform: uppercase; + font-size: 5rem; +} + +.stream__section__subhead__wrap__white{ + color: $colorWhite; + text-transform: uppercase; + padding-right: 1rem; +} + +.update__sections__head__wrap__white{ + color: $colorWhite; + text-transform: uppercase; + font-size: 3rem; +} + +.dropdown-update .ui-selectmenu-button{ + box-shadow: none; + width: 100% !important; + background: none; + color: $colorWhite; + border: solid 1px $colorWhite; + border-radius: 3px; +} + +.ui-selectmenu-button.ui-state-hover{ + background: none !important; + color: $colorWhite; + opacity: 0.8; +} + +.ui-menu-item{ + background: $colorBase !important; + color: $colorWhite !important; +} + +.section__message_dropbox{ + color: $colorYellow; +} + +.section__card-cian-sophistication_route{ + background: $colorSecondary; + height: 100%; + padding: 4rem; +} + +.section__card-cian-sophistication_route > h1,p{ + color: $colorBlack; +} + +.section__card-yellow > h1{ + color: $colorBlack; +} + +.section__card-yellow{ + background: $colorYellow; + padding: 4rem; +} + +.bordered-div-yellow{ + border: solid 1px $colorYellow; +} + +.section__card__wrap__yellow{ + color: $colorYellow; + text-transform: uppercase; + font-size: 8rem; +} + +.section__card__wrap__white{ + color: $colorWhite; + text-transform: uppercase; + font-size: 8rem; +} + +.section__card__profile{ + margin-top: 5rem; + margin-left: 3rem; + button{ + margin-top: 4rem; + } +} + +.btn-large{ + font-size: 3rem; +} diff --git a/app/styles/components/_modules/_layout.scss b/app/styles/components/_modules/_layout.scss index 62dc6afa..bcafd1b0 100755 --- a/app/styles/components/_modules/_layout.scss +++ b/app/styles/components/_modules/_layout.scss @@ -5,9 +5,10 @@ **/ .body { - // height: 100%; - background: white; - border-bottom: 5px solid $colorRed; + width: 100%; + background: $colorBase; + padding:0; + margin: 0; } .stream { diff --git a/app/styles/components/_modules/_pageheader.scss b/app/styles/components/_modules/_pageheader.scss index 293c8cb0..250594b1 100755 --- a/app/styles/components/_modules/_pageheader.scss +++ b/app/styles/components/_modules/_pageheader.scss @@ -5,26 +5,38 @@ **/ .header--pageheader { - background: $colorRed; - padding: 0 $baseSpace; + background: $colorBase; + color: $colorWhite; +} +.navbar_button{ + background: $colorBase; +} +.navbar{ + border-radius: 0.5rem; } - .pageheader__wrap { - padding: $baseSpace/2 0; position: relative; - max-width: $xlarge; margin: auto; + padding:4vh; + padding-top: 5vw; } - // Branding .branding { - height: 30px; + height:100%; } .branding__logo { - width: 12rem; - margin-top: -5px; + height: 8vh; + // width: 15vh/; + //width: ; + // height: 15vh; + //width: 20vw; + padding: 0px; +} +.branding__logo__social_network { + height: 2vh; + width: 2vw; } .branding__slogan { @@ -80,7 +92,8 @@ // Toggle - +.toggle.ios, .toggle-on.ios, .toggle-off.ios { border-radius: 20rem; } +.toggle.ios .toggle-handle { border-radius: 20rem; } .togglemod--languages { height: auto; display: inline-block; @@ -93,7 +106,7 @@ margin-left: -9999px; visibility: hidden; &:checked ~ .toggle__label:after { - margin-left: 15px; + margin-left: 19px; } } @@ -103,11 +116,13 @@ cursor: pointer; outline: none; user-select: none; - padding: $baseSpace / 10; - width: 35px; - height: 20px; - background-color: $colorWhite; + padding: 0; + width: 5rem; + height: 3rem; + background-color: transparent; border-radius: 20px; + border-width: 0.3rem; + border-color: white; margin: 0 auto; &:before, &:after { @@ -116,35 +131,33 @@ content: ''; } &:before { - top: 2px; - left: 2px; - bottom: 2px; - right: 2px; - background-color: $colorRed; - border-radius: $baseSpace / 2; + content: ''; + position: absolute; + left: 0; + width: 42px; + height: 22px; + background-color: transparent; + border-radius: 11px; + transition: all 0.25s linear; + } &:after { - top: 6px; - left: 6px; - bottom: 6px; - right: 0; - width: 8px; - height: 8px; - background-color: $colorWhite; - border-radius: 8px; - } - &:hover:after { + width: 25px; + height: 24px; background-color: $colorWhite; + border-radius: 22px; + transition: all 0.4s ease-in-out; } + } .toggle__label__text { @include offset-text; color: $colorWhite; - font-size: $fontSmall; + font-size: $fontBase; display: inline; - font-weight: 600; vertical-align: 6px; + padding:2px; font-family: $sans; } @@ -216,11 +229,11 @@ .index__header__wrap { padding: $baseSpace*1.5 0 0 0; - max-width: $baseSpace*20; + max-width: fit-content; } .stream__head { - color: $colorRed; + color: $colorWhite; letter-spacing: 0; font-size: $fontXLarge; margin: $fontXLarge/3 0 $fontXLarge/3 0; @@ -268,7 +281,7 @@ background-color: $colorRed; } -.header--pageheader--home .pageheader__home__cap { display: block; } +.header--pageheader--home .pageheader__home__cap { display: none; } .stream__section .pageheader__home__cap { display: block; @@ -296,4 +309,35 @@ background: $colorWhite; } +.bordered-div{ + border: solid 1px $colorWhite; +} +.social_network_marging{ + margin-top: 3vh; + margin-bottom: 4vh; +} +.pageheader__menu__item{ + color: $colorWhite; + text-transform: uppercase; + &:hover { + opacity: 0.8; + color: $colorWhite; + text-decoration: none; + } +} + +.index__header__wrap .index__header .stream__head{ + color: $colorYellow; + text-transform: uppercase; +} + +.index__header__wrap .index__header .stream__subhead{ + color: $colorWhite; + text-transform: uppercase; + font-size: $fontLarge; +} +.btn btn-outline-warning{ + color: $colorYellow; + border-color: $colorYellow; +} diff --git a/app/styles/components/_modules/_results.scss b/app/styles/components/_modules/_results.scss index d396fabb..481431e5 100755 --- a/app/styles/components/_modules/_results.scss +++ b/app/styles/components/_modules/_results.scss @@ -11,7 +11,7 @@ .results__head { font-size: $fontXLarge; - color: $colorRed; + color: $colorWhite; margin-bottom: $baseSpace*2; margin-top: $baseSpace; line-height: 100%; @@ -20,7 +20,7 @@ } .results__subhead { - color: $colorBlack; + color: $colorWhite; font-size: $fontLarge; @include offset-text; margin-top: $baseSpace; @@ -55,7 +55,7 @@ } .results__breadcrumb { - color: $colorBlack; + color: $colorWhite; font-size: $fontSmall; @include offset-text; @@ -65,7 +65,7 @@ &:after { content: '/'; margin-left: $baseSpace / 3; - color: $colorGray; + color: $colorWhite; } &:last-of-type { margin-right: 0; @@ -76,7 +76,7 @@ } .results__name { - color: $colorBlack; + color: $colorWhite; font-weight: 700; @include offset-text; } @@ -93,7 +93,7 @@ .results__copy--postscript { margin: $baseSpace*2 0; text-align: left; - color: $colorGray; + color: $colorWhite; @include offset-text; padding: $baseSpace/2 0; border-top: 1px solid $colorGrayLight; diff --git a/app/styles/components/_modules/_stream-header.scss b/app/styles/components/_modules/_stream-header.scss index 0b7f20d1..797dda9d 100755 --- a/app/styles/components/_modules/_stream-header.scss +++ b/app/styles/components/_modules/_stream-header.scss @@ -44,7 +44,7 @@ line-height: 100%; -moz-osx-font-smoothing: grayscale; margin-bottom: $baseSpace; - color: $colorRed; + color: $colorWhite; margin-top: $baseSpace/2; } diff --git a/app/styles/components/_modules/_stream-section.scss b/app/styles/components/_modules/_stream-section.scss index 12922faf..b3cad720 100755 --- a/app/styles/components/_modules/_stream-section.scss +++ b/app/styles/components/_modules/_stream-section.scss @@ -47,8 +47,9 @@ } .stream__section__wrap { - max-width: $xlarge; + max-width: 100%; margin: 0 auto; position: relative; + margin-top: 8rem; } diff --git a/app/styles/components/_variables.scss b/app/styles/components/_variables.scss index 35e027bf..aa592f8a 100755 --- a/app/styles/components/_variables.scss +++ b/app/styles/components/_variables.scss @@ -7,7 +7,7 @@ /* ========== Type Palette ========== */ $icon: 'FontAwesome'; -$sans: 'Source Sans Pro', sans-serif; // 'Alegreya Sans', Arial, sans-serif; +$sans: 'RF Rufo', sans-serif; // 'Alegreya Sans', Arial, sans-serif; $sansAlt: $sans; $sansSC: 'Alegreya Sans SC', Arial, sans-serif; $serif: 'Alegreya', 'Times New Roman', Georgia, serif; // 'Bitter', serif; // 'Source Serif Pro', Georgia, serif; @@ -15,6 +15,10 @@ $serifSC: 'Alegreya SC', Georgia, serif; /* ========== Color Palettes ========== */ +$colorBase: #292A48; +$colorYellow: #FFCD00; +$colorSecondary: #C2C4FF; + $colorBlack: rgb( 25, 25, 20 ); $colorGrayDark: rgb( 83, 83, 79 ); $colorGray: rgb( 140, 140, 138 ); diff --git a/app/styles/components/font/MuseoSans/MuseoSansCyrl-100.otf b/app/styles/components/font/MuseoSans/MuseoSansCyrl-100.otf new file mode 100644 index 00000000..dbf12a5f Binary files /dev/null and b/app/styles/components/font/MuseoSans/MuseoSansCyrl-100.otf differ diff --git a/app/styles/components/font/MuseoSans/MuseoSansCyrl-100Italic.otf b/app/styles/components/font/MuseoSans/MuseoSansCyrl-100Italic.otf new file mode 100644 index 00000000..fb8a41db Binary files /dev/null and b/app/styles/components/font/MuseoSans/MuseoSansCyrl-100Italic.otf differ diff --git a/app/styles/components/font/MuseoSans/MuseoSansCyrl-300.otf b/app/styles/components/font/MuseoSans/MuseoSansCyrl-300.otf new 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--git a/app/styles/components/font/MuseoSans/MuseoSansCyrl-700.otf b/app/styles/components/font/MuseoSans/MuseoSansCyrl-700.otf new file mode 100644 index 00000000..d8f19f03 Binary files /dev/null and b/app/styles/components/font/MuseoSans/MuseoSansCyrl-700.otf differ diff --git a/app/styles/components/font/MuseoSans/MuseoSansCyrl-700Italic.otf b/app/styles/components/font/MuseoSans/MuseoSansCyrl-700Italic.otf new file mode 100644 index 00000000..84ae7a4f Binary files /dev/null and b/app/styles/components/font/MuseoSans/MuseoSansCyrl-700Italic.otf differ diff --git a/app/styles/components/font/MuseoSans/MuseoSansCyrl-900.otf b/app/styles/components/font/MuseoSans/MuseoSansCyrl-900.otf new file mode 100644 index 00000000..e138bf24 Binary files /dev/null and b/app/styles/components/font/MuseoSans/MuseoSansCyrl-900.otf differ diff --git a/app/styles/components/font/MuseoSans/MuseoSansCyrl-900Italic.otf b/app/styles/components/font/MuseoSans/MuseoSansCyrl-900Italic.otf new file mode 100644 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a/app/styles/components/font/MuseoSlab/Museo_Slab_1000italic.otf b/app/styles/components/font/MuseoSlab/Museo_Slab_1000italic.otf new file mode 100644 index 00000000..cb4837c1 Binary files /dev/null and b/app/styles/components/font/MuseoSlab/Museo_Slab_1000italic.otf differ diff --git a/app/styles/components/font/MuseoSlab/Museo_Slab_100italic.otf b/app/styles/components/font/MuseoSlab/Museo_Slab_100italic.otf new file mode 100644 index 00000000..8201da91 Binary files /dev/null and b/app/styles/components/font/MuseoSlab/Museo_Slab_100italic.otf differ diff --git a/app/styles/components/font/MuseoSlab/Museo_Slab_300.otf b/app/styles/components/font/MuseoSlab/Museo_Slab_300.otf new file mode 100644 index 00000000..984be3d8 Binary files /dev/null and b/app/styles/components/font/MuseoSlab/Museo_Slab_300.otf differ diff --git a/app/styles/components/font/MuseoSlab/Museo_Slab_300italic.otf b/app/styles/components/font/MuseoSlab/Museo_Slab_300italic.otf new file mode 100644 index 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a/app/styles/components/font/MuseoSlab/Museo_Slab_700italic.otf b/app/styles/components/font/MuseoSlab/Museo_Slab_700italic.otf new file mode 100644 index 00000000..d1654c4f Binary files /dev/null and b/app/styles/components/font/MuseoSlab/Museo_Slab_700italic.otf differ diff --git a/app/styles/components/font/MuseoSlab/Museo_Slab_900.otf b/app/styles/components/font/MuseoSlab/Museo_Slab_900.otf new file mode 100644 index 00000000..978ed5a6 Binary files /dev/null and b/app/styles/components/font/MuseoSlab/Museo_Slab_900.otf differ diff --git a/app/styles/components/font/MuseoSlab/Museo_Slab_900italic.otf b/app/styles/components/font/MuseoSlab/Museo_Slab_900italic.otf new file mode 100644 index 00000000..92ea0149 Binary files /dev/null and b/app/styles/components/font/MuseoSlab/Museo_Slab_900italic.otf differ diff --git a/app/styles/components/font/RF_Rufo/RFRufo-Bold.ttf b/app/styles/components/font/RF_Rufo/RFRufo-Bold.ttf new file mode 100644 index 00000000..e78a1f02 Binary files /dev/null and b/app/styles/components/font/RF_Rufo/RFRufo-Bold.ttf differ diff --git a/app/styles/components/font/RF_Rufo/RFRufo-Light.ttf b/app/styles/components/font/RF_Rufo/RFRufo-Light.ttf new file mode 100644 index 00000000..2bf06277 Binary files /dev/null and b/app/styles/components/font/RF_Rufo/RFRufo-Light.ttf differ diff --git a/app/styles/components/font/RF_Rufo/RFRufo-Regular.ttf b/app/styles/components/font/RF_Rufo/RFRufo-Regular.ttf new file mode 100644 index 00000000..91707e26 Binary files /dev/null and b/app/styles/components/font/RF_Rufo/RFRufo-Regular.ttf differ diff --git a/app/templates/index.hbs b/app/templates/index.hbs index a4e09c9a..97d2dc17 100755 --- a/app/templates/index.hbs +++ b/app/templates/index.hbs @@ -1,237 +1,174 @@
-
-

{{ t 'index.questions_head' }}

-
    - {{#if showLocations }} -
  • -
    -
    -

    {{ t 'index.location_head' }}

    - {{select-dropdown collection=sortedLocations selected=sortedLocations.[0].id type='location'}} -
      -
    • - {{#link-to - 'location.visualization' locationFirst 'industries' 'treemap' 'employment' (query-params endDate=lastYear startDate=lastYear) - data-home-page-location-question='1' - class="link--stream index__questions__link" - }} - {{ t 'index.location_q1' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'location.visualization' locationSecond 'products' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear) - data-home-page-location-question='2' - class="link--stream index__questions__link" - }} - {{ t 'index.location_q2' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'location.show' locationFirst - data-home-page-location-question='2' - class="link--stream index__questions__link index__questions__link--viewall" - }} - {{ t 'index.location_viewall' }} - {{/link-to}} -
      • -
    +
    + +
    +
    +
    +

    {{ t 'index.header_h1_p1' }}

    +

    {{ t 'index.header_h1_p2' }}

    +
    +
    +

    {{ t 'index.header_subhead' }}

    +
    +
    + {{input + class="search" + placeholder=( t 'pageheader.search_placeholder' ) + value=query + enter='query' + target=controllers.search + required='required' + }} + +
    + +
    +
    +
    +
    + +

    {{ t 'index.questions_head_p1' }}

    + +
    +
    + +

    {{ t 'index.questions_head_p2' }}

    + + {{#if showLocations }} +
    +
    +

    {{ t 'index.location_head' }}

    -
    • - {{/if}} - {{#if showIndustries }} -
  • -
    -
    -

    {{ t 'index.industry_head' }}

    - {{select-dropdown collection=sortedIndustries selected=sortedIndustries.[0].id type='industry'}} -
      -
    • - {{#link-to - 'industry.visualization' industryFirst 'departments' 'multiples' 'employment'(query-params endDate=lastYear startDate=firstYear ) - data-home-page-product-question='1' - class="link--stream index__questions__link" - }} - {{ t 'index.industry_q1' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'industry.visualization' industrySecond 'occupations' 'treemap' 'num_vacancies'(query-params endDate=lastYear startDate=firstYear ) - data-home-page-product-question='2' - class="link--stream index__questions__link" - }} - {{ t 'index.industry_q2' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'industry.show' industryFirst - data-home-page-product-question='1' - class="link--stream index__questions__link index__questions__link--viewall" - }} - {{ t 'index.location_viewall' }} - {{/link-to}} -
      • -
    +
    + {{select-dropdown collection=sortedLocations selected=sortedLocations.[0].id type='location' class="dropdown-update"}}
    -
    • - {{/if}} - {{#if showProducts }} -
  • -
    -
    -

    {{ t 'index.product_head' }}

    - {{select-dropdown collection=sortedProducts selected=sortedProducts.[0].id type='product'}} -
      -
    • - {{#link-to - 'product.visualization' productFirst 'departments' 'geo' 'export_value' (query-params endDate=lastYear startDate=lastYear ) - data-home-page-industry-question='1' - class="link--stream index__questions__link" - }} - {{ t 'index.product_q1' }} - {{/link-to}} -
      • - {{#if featureToggle.showImports }} -
    • - {{#link-to - 'product.visualization' productSecond 'departments' 'multiples' 'import_value'(query-params endDate=lastYear startDate=firstYear ) - data-home-page-industry-question='2' - class="link--stream index__questions__link" - }} - {{ t 'index.product_q2' }} - {{/link-to}} -
      • - {{/if}} -
    • - {{#link-to - 'product.show' productFirst - data-home-page-industry-question='1' - class="link--stream index__questions__link index__questions__link--viewall" - }} - {{ t 'index.location_viewall' }} - {{/link-to}} -
      • -
    +
    + {{/if}} + + {{#if showIndustries }} +
    +
    +

    {{ t 'index.industry_head' }}

    -
    • - {{/if}} - {{#if showFarmAndLand }} -
  • -
    -
    -

    {{ t 'index.farmandland_head' }}

    - {{select-dropdown collection=sortedAgproducts selected=sortedAgproducts.[0].id type='agproduct'}} -
      -
    • - {{#link-to - 'location.visualization' farmAndLandFirst 'livestock' 'treemap' 'num_farms' (query-params endDate=agcensusLastYear startDate=agcensusLastYear ) - data-home-page-farmandland-question='1' - class="link--stream index__questions__link" - }} - {{ t 'index.livestock_q1' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'landUse.visualization' farmAndLandSecond 'departments' 'treemap' 'area' (query-params endDate=agcensusLastYear startDate=agcensusLastYear ) - data-home-page-farmandland-question='2' - class="link--stream index__questions__link" - }} - {{ t 'index.landuse_q1' }} - {{/link-to}} -
      • -
    +
    + {{select-dropdown collection=sortedIndustries selected=sortedIndustries.[0].id type='industry' class="dropdown-update border-light"}}
    -
    • - {{/if}} -
-
-
-
-
-
-
-

- {{ t 'index.present_head' }} -

-
    -
  • - -
    {{ t 'general.treemap' }}
    -
    • -
  • - -
    {{ t 'general.multiples' }}
    -
    • -
  • - -
    {{ t 'general.geo' }}
    -
    • -
-

{{ t 'index.present_subhead' }}

+
+ {{/if}} + + {{#if showProducts }} +
+
+

{{ t 'index.product_head' }}

+
+
+ {{select-dropdown collection=sortedProducts selected=sortedProducts.[0].id type='product' class="dropdown-update"}} +
+
+ {{/if}} + + {{#if showFarmAndLand }} +
+
+

{{ t 'index.farmandland_head' }}

+
+
+ {{select-dropdown collection=sortedAgproducts selected=sortedAgproducts.[0].id type='agproduct' class="dropdown-update"}} +
+
+ {{/if}} + +
-
-

- {{ t 'index.future_head' }} -

-
    -
  • - -
    {{ t 'general.scatter' }}
    -
    • -
  • - -
    {{ t 'general.similarity' }}
    -
    • -
-

{{ t 'index.future_subhead' }}

+
+
+

{{ t 'index.sophistication_route'}}

+

+ Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc a porta dolor, at vehicula enim. Fusce dignissim massa magna, quis mollis arcu scelerisque fringilla. Sed semper risus ipsum, tempus pretium leo ullamcorper eget. Donec in erat at elit tempor aliquet vitae quis dolor. Quisque mi erat, luctus sed orci eu, aliquet maximus odio. Quisque tempus scelerisque tortor vel volutpat. Nunc volutpat justo non arcu mollis, a suscipit lacus porttitor. Cras euismod, nunc ac lacinia tristique, ipsum odio tempor metus, at lobortis nibh tellus sed lacus. Quisque mollis cursus sem, nec pellentesque dolor faucibus quis. +

+ +
+
-
-
-
-
-
-
-

- {{ t 'index.complexity_head' }} -

+
+
+

{{ t 'index.present_head' }}

+

{{ t 'index.present_subhead' }}

+
+
+ +

{{ t 'general.treemap' }}

+
+
+ +

{{ t 'general.multiples' }}

+
+
+ +

{{ t 'general.geo' }}

+
+
+
+
+ +

{{ t 'general.scatter' }}

+
+
+ +

{{ t 'general.similarity' }}

+
+
+

{{ t 'index.future_head' }}

+

{{ t 'index.future_subhead' }}

+
+
+
+
+
+

{{ t 'index.complexity_head' }}

+

{{ t 'index.complexity_subhead' }}

+
+ {{#link-to 'about.glossary' + data-home-page-product='' + class="text-uppercase btn btn-outline-light btn-large mt-5" + }} + {{ t 'index.complexity_cta' }} + {{/link-to}} +
-
-

- {{ t 'index.complexity_subhead' }} -

- {{#link-to 'about.glossary' - data-home-page-product='' - class="btn btn--standalone btn--stream index__complexity__cta" - }} - {{ t 'index.complexity_cta' }} - {{/link-to}} +
+
+
+
+
+

{{ t 'index.country_profile_p1' }}

+

{{ t 'index.country_profile_p2' }}

+ {{#link-to + 'location.show' 0 + data-home-page-industry-question='2' + class="text-uppercase btn btn-outline-light btn-large mt-5" + }} + {{ t 'pageheader.profile_link' }} + {{/link-to}} +
+ +
+
+ +
-
-
-
-

- {{t 'index.country_profile'}} -

- {{#link-to - 'location.show' 0 - data-home-page-industry-question='2' - class="btn btn--standalone btn--stream" - }} - {{ t 'pageheader.profile_link' }} - {{/link-to}} -
-
+ {{#if featureToggle.homepage_logos }}
    diff --git a/app/templates/partials/-pageheader.hbs b/app/templates/partials/-pageheader.hbs index 8a5340d8..c87ebb87 100755 --- a/app/templates/partials/-pageheader.hbs +++ b/app/templates/partials/-pageheader.hbs @@ -2,107 +2,101 @@
    -
    - {{#if featureToggle.showDatlas }} - {{#link-to "index"}} - - {{/link-to}} - {{else}} - {{#link-to "index" class="pageheader__title"}} - {{t 'pageheader.alternative_title' }} - {{/link-to}} - {{/if}} -
    - -
    -
      -
    • - {{#link-to "rankings" - class="pageheader__menu__item" - activeClass="pageheader__menu__item--active" - data-side-search-link='about' - }} - {{ t 'pageheader.rankings' }} - {{/link-to}} -
      • -
    • - {{#link-to "about.project-description" - class="pageheader__menu__item" - activeClass="pageheader__menu__item--active" - data-side-search-link='about' - }} - {{ t 'pageheader.about' }} - {{/link-to}} -
      • -
    • - {{#link-to "about.glossary" - class="pageheader__menu__item" - activeClass="pageheader__menu__item--active" - data-side-search-link='glossary' - }} - {{ t 'general.glossary' }} - {{/link-to}} -
      • -
    • - {{#if featureToggle.show_downloads }} - {{#link-to "downloads" - current-when="downloads" - class="pageheader__menu__item" - activeClass="pageheader__menu__item--active" - data-side-search-link='data' - }} - {{ t 'pageheader.download' }} +
      + {{#if featureToggle.showDatlas }} + {{#link-to "index" class='mr-auto'}} + + {{/link-to}} + + +
      +

      + {{otherLanguage}} +

      + {{input + type='checkbox' + id='toggle--languages' + class='toggle toggle--languages' + checked=isDefaultLocale + data-language-toggle='' + }} + +

      + {{defaultLanguage}} +

      +
      + {{else}} + {{#link-to "index" class="pageheader__title"}} + {{t 'pageheader.alternative_title' }} {{/link-to}} {{/if}} -
      • -
    +
    - + {{#if isHomePageRoute }} {{!-- special display of introductory text on index --}}
    -

    {{ t 'index.header_h1' }}

    -

    {{ t 'index.header_subhead' }}

    +

    {{ t 'index.header_h1_add' }}

    +

    {{ t 'index.header_subhead_add' }}

    + +
    - -
    -
    - {{input - class="search" - placeholder=( t 'pageheader.search_placeholder' ) - value=query - enter='query' - target=controllers.search - required='required' - }} - -
    - -
    {{/if}}
    diff --git a/app/variables/data-variables.js b/app/variables/data-variables.js index 872769b7..2afc0ecc 100644 --- a/app/variables/data-variables.js +++ b/app/variables/data-variables.js @@ -16,15 +16,15 @@ export default { "index_profile_id": 1, "index_graphbuilder_id": 87, // These are for trade and industry data - "last_year": 2016, - "first_year": 2008, +"last_year": 2017, +"first_year": 2008, // This is for demographic data, e.g. gdp / pop - "census_year": 2016, +"census_year": 2017, // These are for everything else "year_ranges": { - "agproduct": { "first_year": 2007, "last_year": 2015 }, - "agcensus": { "first_year": 2014, "last_year": 2014 }, // land use, farm type, etc - "occupation": { "first_year": 2016, "last_year": 2016 }, +"agproduct": { "first_year": 2007, "last_year": 2016 }, +"agcensus": { "first_year": 2014, "last_year": 2014 }, +"occupation": { "first_year": 2017, "last_year": 2017 }, }, // These determine which datasets use the "agcensus" year range "agcensus_entities": ["livestock", "nonag", "landUse"], @@ -38,35 +38,23 @@ export default { "show_downloads": true, "homepage_logos": [ { - "name":"Center for International Development at Harvard University", - "link":"http://growthlab.cid.harvard.edu/", - "logo":"assets/img/logos/hks.png", - "max-width": "140px", + "name":"Gobierno", + "link":"https://www.gov.co/", + "logo":"assets/img/logos/mark_presidencia.svg", + "max-width": "360px", }, { "name":"Bancoldex", "link":"https://www.bancoldex.com/", - "logo":"assets/img/logos/bancoldex.png", - "max-width": "180px", + "logo":"assets/img/logos/mark_bancoldex.svg", + "max-width": "360px", }, { "name":"Fundacion Mario Santo Domingo", "link":"http://www.fmsd.org.co/", - "logo":"assets/img/logos/fmsd.png", + "logo":"assets/img/logos/mark_fundacion.svg", "max-width": "190px", }, - { - "name":"DNP", - "link":"https://www.dnp.gov.co/", - "logo":"assets/img/logos/dnp.png", - "max-width": "180px", - }, - { - "name":"MinComercio", - "link":"http://www.mincit.gov.co/", - "logo":"assets/img/logos/mincomercio.png", - "max-width": "360px", - }, ], "download_files": { "methodology": "calculation-documentation/Metodos_Calculo_Calculation_Methods.pdf", @@ -118,9 +106,9 @@ export default { "index_product_q2_id": 1143, "index_profile_id": 206, "index_graphbuilder_id": 87, - "last_year": 2014, - "first_year": 2004, - "census_year": 2010, +"last_year": 2017, +"first_year": 2008, +"census_year": 2017, "geo_center": [19,-99], "subregions" : { "country": "department", @@ -183,9 +171,9 @@ export default { "index_product_q2_id": 267, "index_profile_id": 0, "index_graphbuilder_id": 87, - "last_year": 2014, - "first_year": 2007, - "census_year": 2014, +"last_year": 2017, +"first_year": 2008, +"census_year": 2017, "geo_center": [-12,-77], "subregions" : { "country": "department", diff --git a/bower.json b/bower.json index 22084097..99fa1945 100644 --- a/bower.json +++ b/bower.json @@ -26,7 +26,7 @@ }, "devDependencies": { "d3": "~3.5.5", - "FileSaver.js": "~0.0.2", + "FileSaver.js": "https://github.com/eligrey/FileSaver.js.git#v2.0.4", "papaparse": "~4.1.2", "vis-toolkit": "https://github.com/cid-harvard/vis-toolkit.git#master" }, diff --git a/config/environment.js b/config/environment.js index 3274e24b..9dfe0a23 100644 --- a/config/environment.js +++ b/config/environment.js @@ -30,11 +30,12 @@ module.exports = function(environment) { ENV.apiURL = process.env.API_URL, ENV.contentSecurityPolicy = { + 'default-src': "'self' *", 'style-src': "'self' 'unsafe-inline' *", 'connect-src': "'self' http://54.6.95.239 *", 'img-src': "'self' http://placehold.it/40x40 * data:", - 'font-src': "'self' https://fonts.gstatic.com/", - 'script-src': "'self' 'unsafe-eval' 'unsafe-inline' www.google-analytics.com" + 'font-src': "'self' https://fonts.gstatic.com/ *", + 'script-src': "'self' 'unsafe-eval' 'unsafe-inline' www.google-analytics.com *" }; if (environment === 'test') { diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 00000000..3f5e6ed0 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,18 @@ +version: "3.7" + +services: + frontend: + build: + context: . + dockerfile: docker/Dockerfile + ports: + - 80:80 + env_file: .env + volumes: + - ./docker/conf.d:/etc/nginx/conf.d + networks: + - atlas_network + +networks: + atlas_network: + driver: bridge diff --git a/docker/Dockerfile b/docker/Dockerfile new file mode 100644 index 00000000..9c8cca13 --- /dev/null +++ b/docker/Dockerfile @@ -0,0 +1,17 @@ +# build stage +FROM node:6.13.1 as build-stage +WORKDIR /usr/src/ember +COPY . /usr/src/ember/ +RUN npm install -g ember-cli@1.13.1 +RUN npm install -g bower +RUN npm install -g sass +RUN npm rebuild node-sass +RUN npm install +RUN bower install +RUN ember build --environment=production + +# production stage +FROM nginx:stable-alpine as production-stage +COPY --from=build-stage /usr/src/ember/dist /usr/share/nginx/html +EXPOSE 80 +CMD ["nginx", "-g", "daemon off;"] diff --git a/docker/conf.d/local.conf b/docker/conf.d/local.conf new file mode 100644 index 00000000..6e4bf628 --- /dev/null +++ b/docker/conf.d/local.conf @@ -0,0 +1,20 @@ +# declare our main server +server { + + listen 80; + server_name localhost; + charset utf-8; + + root /usr/share/nginx/html; + index index.html; + + location / { + try_files $uri $uri/ @rewrites; + } + + location @rewrites { + rewrite ^(.+)$ /index.html last; + } + + +} diff --git a/package.json b/package.json index 3447438d..459371d5 100644 --- a/package.json +++ b/package.json @@ -23,7 +23,7 @@ "ember-cli": "1.13.1", "ember-cli-app-version": "0.3.3", "ember-cli-autoprefixer": "^0.3.0", - "ember-cli-babel": "^5.0.0", + "ember-cli-babel": "^6.6.0", "ember-cli-content-security-policy": "0.4.0", "ember-cli-dependency-checker": "^1.0.0", "ember-cli-dotenv": "git://github.com/QuinnLee/ember-cli-dotenv.git", diff --git a/public/assets/font/MuseoSans/MuseoSansCyrl-100.otf 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files /dev/null and b/public/assets/font/RF_Rufo/RFRufo-Bold.ttf differ diff --git a/public/assets/font/RF_Rufo/RFRufo-Light.ttf b/public/assets/font/RF_Rufo/RFRufo-Light.ttf new file mode 100644 index 00000000..2bf06277 Binary files /dev/null and b/public/assets/font/RF_Rufo/RFRufo-Light.ttf differ diff --git a/public/assets/font/RF_Rufo/RFRufo-Regular.ttf b/public/assets/font/RF_Rufo/RFRufo-Regular.ttf new file mode 100644 index 00000000..91707e26 Binary files /dev/null and b/public/assets/font/RF_Rufo/RFRufo-Regular.ttf differ diff --git a/public/assets/img/branding/bancoldex-white.svg b/public/assets/img/branding/bancoldex-white.svg new file mode 100644 index 00000000..22eca3bd --- /dev/null +++ b/public/assets/img/branding/bancoldex-white.svg @@ -0,0 +1,63 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/public/assets/img/branding/ico_grafico_composicion.svg b/public/assets/img/branding/ico_grafico_composicion.svg new file mode 100644 index 00000000..8e340536 --- /dev/null +++ b/public/assets/img/branding/ico_grafico_composicion.svg @@ -0,0 +1,19 @@ + + + + + + + + + + + + + + + + + + + diff --git a/public/assets/img/branding/ico_grafico_de_areas.svg b/public/assets/img/branding/ico_grafico_de_areas.svg new file mode 100644 index 00000000..170b3f2a --- /dev/null +++ b/public/assets/img/branding/ico_grafico_de_areas.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/public/assets/img/branding/ico_grafico_de_dispersion.svg b/public/assets/img/branding/ico_grafico_de_dispersion.svg new file mode 100644 index 00000000..6fb256d2 --- /dev/null +++ b/public/assets/img/branding/ico_grafico_de_dispersion.svg @@ -0,0 +1,50 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/public/assets/img/branding/ico_mapa_colombia.svg b/public/assets/img/branding/ico_mapa_colombia.svg new file mode 100644 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b/public/assets/img/hero_images/front-header-treemap.png differ diff --git a/public/assets/img/logos/mark_bancoldex.svg b/public/assets/img/logos/mark_bancoldex.svg new file mode 100644 index 00000000..22eca3bd --- /dev/null +++ b/public/assets/img/logos/mark_bancoldex.svg @@ -0,0 +1,63 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/public/assets/img/logos/mark_fundacion.svg b/public/assets/img/logos/mark_fundacion.svg new file mode 100644 index 00000000..7132fd32 --- /dev/null +++ b/public/assets/img/logos/mark_fundacion.svg @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/public/assets/img/logos/mark_presidencia.svg b/public/assets/img/logos/mark_presidencia.svg new file mode 100644 index 00000000..7a34837e --- /dev/null +++ b/public/assets/img/logos/mark_presidencia.svg @@ -0,0 +1,69 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +