diff --git a/app copy.css b/app copy.css new file mode 100644 index 0000000..5017eef --- /dev/null +++ b/app copy.css @@ -0,0 +1,428 @@ +/* backup on 10/25/24 */ +/* careers can be entered with a bachelor’s degree (highlighted in BLUE), +and those whose careers require a graduate degree (highlighted in GREEN). */ + +body { + font-family: "Arial", sans-serif; + background-color: #111d4a; + color: #f4f4f4; + margin: 5px; + padding: 20px; +} + +* { + box-sizing: border-box; +} + +p { + margin: 2px; + padding: 2px; + text-align: left; +} + +.message { + padding: 20px; + background-color: #2b324d; + border: 1px solid #ddd; + margin: 20px auto; + border-radius: 8px; + max-width: 1000px; + box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); +} + +ul, ol { + margin: 10px; + padding: 10px; + text-align: left; +} + +h1, h2, h3 { + color: #f4f4f4; + text-align: center; +} + +h1 { + font-size: 2.5em; +} + +h2 { + font-size: 2em; +} + +h3 { + font-size: 1.1em; +} + +.container { + padding: 10px; + margin: auto; + max-width: 1000px; + text-align: center; + background-color: #1f2a48; + border-radius: 8px; + box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); +} + +#jobslist { + padding-inline-start: 0; + list-style-type: none; +} + +.job-section { + background-color: #2a3b5a; + border-radius: 8px; + padding: 10px; + margin-bottom: 20px; + word-wrap: break-word; + overflow: hidden; +} + +.main-category { + color: #ff9900; + font-size: 2em; + margin-bottom: 20px; +} + +.job-title { + color: #00aaff; + font-size: 1.5em; + margin-bottom: 10px; +} + +.link { + display: flex; + align-items: center; + margin-bottom: 10px; + background-color: #1e2a45; + border-radius: 4px; + padding: 10px; + word-wrap: break-word; + overflow-wrap: break-word; + white-space: normal; + overflow: hidden; + text-overflow: ellipsis; +} + +.category { + margin-right: 15px; + font-weight: bold; + color: #ffcc00; +} + +.link a { + color: #00aaff; + text-decoration: none; +} + +.link a:hover { + text-decoration: underline; +} + +#searchBar { + width: 100%; + height: 40px; + border-radius: 4px; + border: 1px solid #444; + padding: 10px; + font-size: 14px; + background-color: #222; + color: #f4f4f4; +} + +#searchWrapper { + position: relative; + margin-bottom: 20px; +} + +#searchWrapper::after { + content: "🔍"; + position: absolute; + top: 10px; + right: 15px; + color: #f4f4f4; +} + +.contact-info { + text-align: center; + font-family: Arial, sans-serif; + line-height: 1.1; + margin: 10px auto; + padding: 10px; + border: 1px solid #ddd; + border-radius: 8px; + max-width: 400px; + background-color: #000000; + box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); +} + +.contact-info p { + text-align: center; + margin: 5px; +} + +.contact-info a { + color: #ff0000; + text-decoration: none; +} + +.contact-info a:hover { + text-decoration: underline; +} + +.video-modal { + position: fixed; + top: 0; + left: 0; + right: 0; + bottom: 0; + background-color: rgba(0, 0, 0, 0.8); + display: flex; + justify-content: center; + align-items: center; + z-index: 1000; +} + +.modal-content { + position: relative; + width: 80%; + max-width: 600px; + background-color: #fff; + border-radius: 8px; + padding: 20px; +} + +.close-button { + position: absolute; + top: 10px; + right: 10px; + cursor: pointer; + font-size: 24px; + color: #000; +} + +.image-container { + display: flex; + justify-content: center; + align-items: center; +} + +.centered-image { + display: block; + max-width: 100%; + height: auto; +} +.video-popup { + display: fixed; + left: 0; + top: 0; + width: 100%; + height: 100%; + background-color: rgba(0, 0, 0, 0.8); + justify-content: center; + align-items: center; + z-index: 1000; /* Ensure it appears above other elements */ +} + +.popup-content { + position: relative; + width: 80%; + max-width: 600px; +} + +.close { + position: absolute; + top: 10px; + right: 15px; + font-size: 30px; + color: #ffffff; + cursor: pointer; +} + +/* Video wrapper to maintain aspect ratio */ +.video-wrapper { + position: relative; + width: 100%; + max-width: 560px; + margin: auto; + padding-bottom: 56.25%; /* This maintains a 16:9 aspect ratio (height/width = 9/16 = 0.5625) */ + height: 0; /* Set the height to 0, and use padding-bottom for aspect ratio */ + background: #000; + overflow: hidden; /* Hide anything that goes outside the container */ +} + +.video-wrapper iframe { + position: absolute; + top: 0; + left: 0; + width: 100%; + height: 100%; + border: none; /* No border on the iframe */ +} + +.video-thumbnail { + position: absolute; + top: 0; + left: 0; + width: 100%; + height: 100%; + object-fit: cover; /* Ensure the thumbnail image covers the entire wrapper */ + cursor: pointer; +} + +/* Optional: Add some styling to indicate the video thumbnail is clickable */ +.video-thumbnail:hover { + opacity: 0.8; +} + +.degree { + font-size: 0.9em; + font-weight: bold; +} + +.blue { + color: blue; +} + +.green { + color: green; +} + +/* Center the jobs list on the page */ +#jobslist { + max-width: 1000px; /* Adjust max width as needed */ + margin: 0 auto; /* Center-align #jobslist */ + padding: 20px; +} + +/* Center degree boxes within each job section, relative to job title */ +.degree-box { + font-size: 0.9em; + font-weight: bold; + padding: 10px 20px; + border-radius: 5px; + color: #fff; + text-align: center; + display: inline-block; + vertical-align: middle; + margin: 10px auto; /* Centers within job-section */ +} + +/* Ensure job-section is centered within jobslist */ +.job-section { + background-color: #2a3b5a; + border-radius: 8px; + padding: 5px; + margin: 20px auto; + word-wrap: break-word; + overflow: hidden; + text-align: center; /* Aligns text center within each job-section */ +} + + +/* Specific colors based on degree type */ +.degree-box.blue { + background-color: #007bff; /* Blue for Bachelor’s degree */ +} + +.degree-box.green { + background-color: #28a745; /* Green for Graduate degree */ +} + + +/* Basic styling for the body */ +body { + font-family: Arial, sans-serif; + background-color: #f9f9f9; + margin: 20px; +} + +/* Style for the table */ +table { + width: 50%; /* Set table width to 50% for left half of the screen */ + /* border-collapse: collapse; */ + margin: 20px 0; + box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); +} + +/* Style for table headers */ +th { + /* background-color: #4CAF50; */ + color: white; + padding: 10px; + text-align: left; /* Align text in headers to the left */ +} + +/* Style for table cells */ +td { + padding: 8px; /* Reduced padding for less whitespace */ + /* border: 1px solid #ddd; */ + text-align: left; /* Left-align text in cells */ + white-space: nowrap; /* Prevent text wrapping */ +} + +/* Hover effect for table rows */ +tr:hover { + background-color: #ff000015; +} + +/* Responsive table */ +@media (max-width: 600px) { + table { + width: 100%; + display: block; + overflow-x: auto; + } +} + + +/* Basic styling for the body */ +body { + font-family: Arial, sans-serif; + background-color: #f9f9f9; + margin: 20px; +} + +/* Style for the table */ +table { + width: 60%; /* Set table width to 60% to make it a bit wider */ + border-collapse: collapse; + border-width: 3px; + margin: 20px auto; /* Center-align the table */ + box-shadow: 0 2px 5px rgba(0, 0, 0, 0.897); +} + +/* Style for table headers */ +th { + /* background-color: #4CAF50; */ + /* color: white; */ + border: #000000; + border-width: 10px; + padding: 10px; + text-align: left; /* Align text in headers to the left */ +} + +/* Style for table cells */ +td { + padding: 8px; /* Reduced padding for less whitespace */ + text-align: left; /* Left-align text in cells */ + white-space: nowrap; /* Prevent text wrapping */ +} + +/* Wider first column */ +td:first-child, th:first-child { + width: 40%; /* Adjust this width as necessary for the first column */ +} + +/* Hover effect for table rows */ +tr:hover { + background-color: #ff000015; +} + +/* Responsive table */ +@media (max-width: 600px) { + table { + width: 100%; + display: block; + overflow-x: auto; + } +} diff --git a/app.css b/app.css index 505d6f5..028e3a5 100644 --- a/app.css +++ b/app.css @@ -1,24 +1,25 @@ -/* careers can be entered with a bachelor’s degree (highlighted in BLUE), -and those whose careers require a graduate degree (highlighted in GREEN). */ - +/* Basic styling for the body */ body { font-family: "Arial", sans-serif; background-color: #111d4a; color: #f4f4f4; - margin: 5px; + margin: 20px; padding: 20px; } +/* General reset */ * { box-sizing: border-box; } +/* Paragraph styling */ p { margin: 2px; padding: 2px; text-align: left; } +/* Message box styling */ .message { padding: 20px; background-color: #2b324d; @@ -29,12 +30,14 @@ p { box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); } +/* List styling */ ul, ol { margin: 10px; padding: 10px; text-align: left; } +/* Header styling */ h1, h2, h3 { color: #f4f4f4; text-align: center; @@ -52,6 +55,7 @@ h3 { font-size: 1.1em; } +/* Container styling */ .container { padding: 10px; margin: auto; @@ -62,32 +66,41 @@ h3 { box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); } +/* Jobs list styling */ #jobslist { + max-width: 1000px; + margin: 0 auto; /* Center-align #jobslist */ + padding: 20px; padding-inline-start: 0; list-style-type: none; } +/* Job section styling */ .job-section { background-color: #2a3b5a; border-radius: 8px; - padding: 10px; - margin-bottom: 20px; + padding: 5px; + margin: 20px auto; word-wrap: break-word; overflow: hidden; + text-align: center; /* Aligns text center within each job-section */ } +/* Main category styling */ .main-category { color: #ff9900; font-size: 2em; margin-bottom: 20px; } +/* Job title styling */ .job-title { color: #00aaff; font-size: 1.5em; margin-bottom: 10px; } +/* Link styling */ .link { display: flex; align-items: center; @@ -96,10 +109,7 @@ h3 { border-radius: 4px; padding: 10px; word-wrap: break-word; - overflow-wrap: break-word; - white-space: normal; overflow: hidden; - text-overflow: ellipsis; } .category { @@ -117,6 +127,7 @@ h3 { text-decoration: underline; } +/* Search bar styling */ #searchBar { width: 100%; height: 40px; @@ -141,9 +152,9 @@ h3 { color: #f4f4f4; } +/* Contact info box styling */ .contact-info { text-align: center; - font-family: Arial, sans-serif; line-height: 1.1; margin: 10px auto; padding: 10px; @@ -168,6 +179,7 @@ h3 { text-decoration: underline; } +/* Video modal styling */ .video-modal { position: fixed; top: 0; @@ -199,54 +211,16 @@ h3 { color: #000; } -.image-container { - display: flex; - justify-content: center; - align-items: center; -} - -.centered-image { - display: block; - max-width: 100%; - height: auto; -} -.video-popup { - display: fixed; - left: 0; - top: 0; - width: 100%; - height: 100%; - background-color: rgba(0, 0, 0, 0.8); - justify-content: center; - align-items: center; - z-index: 1000; /* Ensure it appears above other elements */ -} - -.popup-content { - position: relative; - width: 80%; - max-width: 600px; -} - -.close { - position: absolute; - top: 10px; - right: 15px; - font-size: 30px; - color: #ffffff; - cursor: pointer; -} - -/* Video wrapper to maintain aspect ratio */ +/* Video wrapper styling */ .video-wrapper { position: relative; width: 100%; max-width: 560px; margin: auto; - padding-bottom: 56.25%; /* This maintains a 16:9 aspect ratio (height/width = 9/16 = 0.5625) */ - height: 0; /* Set the height to 0, and use padding-bottom for aspect ratio */ + padding-bottom: 56.25%; /* 16:9 aspect ratio */ + height: 0; background: #000; - overflow: hidden; /* Hide anything that goes outside the container */ + overflow: hidden; /* Hide overflow */ } .video-wrapper iframe { @@ -264,15 +238,15 @@ h3 { left: 0; width: 100%; height: 100%; - object-fit: cover; /* Ensure the thumbnail image covers the entire wrapper */ + object-fit: cover; /* Ensure thumbnail covers entire wrapper */ cursor: pointer; } -/* Optional: Add some styling to indicate the video thumbnail is clickable */ .video-thumbnail:hover { - opacity: 0.8; + opacity: 0.8; /* Change opacity on hover */ } +/* Degree boxes styling */ .degree { font-size: 0.9em; font-weight: bold; @@ -286,14 +260,7 @@ h3 { color: green; } -/* Center the jobs list on the page */ -#jobslist { - max-width: 1000px; /* Adjust max width as needed */ - margin: 0 auto; /* Center-align #jobslist */ - padding: 20px; -} - -/* Center degree boxes within each job section, relative to job title */ +/* Degree box styling with colors */ .degree-box { font-size: 0.9em; font-weight: bold; @@ -306,19 +273,6 @@ h3 { margin: 10px auto; /* Centers within job-section */ } -/* Ensure job-section is centered within jobslist */ -.job-section { - background-color: #2a3b5a; - border-radius: 8px; - padding: 5px; - margin: 20px auto; - word-wrap: break-word; - overflow: hidden; - text-align: center; /* Aligns text center within each job-section */ -} - - -/* Specific colors based on degree type */ .degree-box.blue { background-color: #007bff; /* Blue for Bachelor’s degree */ } @@ -327,78 +281,25 @@ h3 { background-color: #28a745; /* Green for Graduate degree */ } - -/* Basic styling for the body */ -body { - font-family: Arial, sans-serif; - background-color: #f9f9f9; - margin: 20px; -} - -/* Style for the table */ -table { - width: 50%; /* Set table width to 50% for left half of the screen */ - /* border-collapse: collapse; */ - margin: 20px 0; - box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); -} - -/* Style for table headers */ -th { - background-color: #4CAF50; - color: white; - padding: 10px; - text-align: left; /* Align text in headers to the left */ -} - -/* Style for table cells */ -td { - padding: 8px; /* Reduced padding for less whitespace */ - /* border: 1px solid #ddd; */ - text-align: left; /* Left-align text in cells */ - white-space: nowrap; /* Prevent text wrapping */ -} - -/* Hover effect for table rows */ -tr:hover { - background-color: #ff000015; -} - -/* Responsive table */ -@media (max-width: 600px) { - table { - width: 100%; - display: block; - overflow-x: auto; - } -} - - -/* Basic styling for the body */ -body { - font-family: Arial, sans-serif; - background-color: #f9f9f9; - margin: 20px; -} - -/* Style for the table */ +/* Table styling */ table { - width: 60%; /* Set table width to 60% to make it a bit wider */ + width: 60%; /* Set table width to 60% */ border-collapse: collapse; margin: 20px auto; /* Center-align the table */ - box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); + box-shadow: 0 2px 1px rgba(0, 0, 0, 0.9); } -/* Style for table headers */ +/* Table header styling */ th { - background-color: #4CAF50; + border: 2px solid #000; /* Outline for headers */ color: white; padding: 10px; text-align: left; /* Align text in headers to the left */ } -/* Style for table cells */ +/* Table cell styling */ td { + border: 2px solid #000; /* Outline for cells */ padding: 8px; /* Reduced padding for less whitespace */ text-align: left; /* Left-align text in cells */ white-space: nowrap; /* Prevent text wrapping */ diff --git a/app.js b/app.js index ce6a4cc..1bd241d 100644 --- a/app.js +++ b/app.js @@ -59,8 +59,9 @@ const loadMoreJobs = () => { // Function to reset jobs when search input is cleared const resetJobs = () => { + filteredJobs = []; // Clear the filteredJobs to indicate all jobs should be shown displayedJobs = []; - currentIndex = 0; + currentIndex = 0; // Reset index to zero for loading loadMoreJobs(); // Load the first chunk again }; diff --git a/index.html b/index.html index a35bde3..9757750 100644 --- a/index.html +++ b/index.html @@ -25,35 +25,94 @@

Author contact information

Drew C. Appleby

- - - -

If you have any suggestions, corrections, or additional information to improve this resource, please feel free to contact me at dappleby@iupui.edu.

- -
-

© 2024 Drew C. Appleby. All rights reserved.

-
+

107 Glentown Way

+

Atlanta, GA 30328-1607

+

Email: dappleby@iupui.edu

+
+ +

Copyright 2019 by Drew C. Appleby. All rights reserved. You may reproduce multiple copies of this material for your own personal use, including use in your classes and/or sharing with individual colleagues as long as the author’s name and institution and the Office of Teaching Resources in Psychology heading or other identifying information appear on the copied document. No other permission is implied or granted to print, copy, reproduce, or distribute additional copies of this material. Anyone who wishes to produce copies for purposes other than those specified above must obtain the permission of the authors.

+
+

An Open Letter to Psychology Majors

+

Dear Psychology Majors,

+ +

I taught, advised, and mentored psychology majors for 40 years at both a small, private, residential, liberal arts college and a large, public, commuter, research university. Although these two schools were remarkably different, all my students were concerned about their ability to provide a confident answer to the following perennial question, “What can I do with a bachelor’s degree in psychology?” (For an explanation of why this question is so challenging, access my article titled How to Maximize the Blessings and Minimize the Curses of Being a Psychology Major listed in the reference section.) The remarkable pervasiveness of this query among my students motivated me to create and teach a careers-in-psychology class to help them answer it and to write a textbook for the class titled The Savvy Psychology Major (Appleby, 2008). The goal of the class was to enable students to become savvy psychology majors by creating an educational plan that would enable them to give clear, complete, convincing, and confident answers to the following questions:

+ +
    +
  1. What careers can I enter if I major in psychology?
    2. +
  2. Which of these careers would be a good choice for me on the basis of my skills, values, and interests?
    3. +
  3. Which of these careers can I enter with a bachelor's degree, and which will require a graduate degree?
    4. +
  4. What knowledge, skills, and characteristic (KSCs) must I possess to enter and succeed in my chosen career?
    5. +
  5. How can I use the curricular and the extracurricular components of my education to develop these KSCs?
    6. +
  6. How can I convince potential employers or graduate school admissions committees that I possess these KSCs so they will hire me with a bachelor’s degree or accept me into their graduate program?
    7. +
+ +

This resource, combined with some serious and honest self-reflection, can help you answer the first four of these questions. Once you feel comfortable with your answers, your next step should be to meet with your academic advisor. Explain your answers to these four questions during this meeting, and then ask your advisor to work with you as you create a plan for the remainder of your undergraduate education that will help you choose the classes and engage in the extracurricular activities (e.g., research, internships, service learning, and leadership opportunities) that will enable you to develop the KSCs you need to prepare yourself for your chosen career. The final step will depend upon if your career requires you to earn a degree beyond the bachelor’s. If it does, seek the aid of a faculty mentor who can help you create and obtain the documents you will need to apply successfully to a graduate program (i.e., a curriculum vitae, a personal statement, and at least three strong letters of recommendation from appropriate people). If you can enter your chosen career with a bachelor’s degree, then visit your career center where a professional employment counselor can help you create the necessary documents and information you will need to be hired (i.e., a resume, a cover letter, and effective answers to challenging interview questions). This strategy is a complex task, so it is best to break it down into three smaller and more manageable steps by understanding, embracing, and living out the wisdom of the following short, but venerable quotations.

+ +
    +
  1. The Oracle at Delphi (speaking through Socrates), said “Know thyself.” Savvy psychology majors know themselves when they can honestly and accurately identify their most important skills, interests, and values.
    2. +
  2. Shakespeare wrote Hamlet in which Polonius provided the following sage advice to his son Laertes, “To thine own self be true.” Savvy psychology majors are true to themselves when they (a) use their self-knowledge to identify careers in which they can perform well, enjoy the work they do, and value the products of their work and then (b) create realistic plans to use their undergraduate educations to prepare for, enter, and succeed in these careers.
    3. +
  3. Nike (the Greek goddess of victory), speaking through her 21st century commercial namesake, said “Just do it.” Savvy job-seeking psychology majors just do it when they put their realistic plans into action by actually engaging in the specific behaviors that will enable them to successfully enter and succeed in their chosen careers.
    4. +
+ +

I used these three pieces of advice to help thousands of students answer the question, “What can I do with a bachelor’s degree in psychology?” Although I am now retired and you are not my students, it would give me great satisfaction if you were willing to use the information in this resource to become savvy psychology majors.

+ +

Sincerely yours,

+ +

Drew C. Appleby, PhD
+ Professor Emeritus of Psychology
+ Director of Undergraduate Studies in the IUPUI Psychology Department (Retired)
+ Associate Dean of the IUPUI Honors College (Retired)

+ +

PS: I have been working on this resource for over 30 years ago, and it is still not a finished product; it is a work in progress. If you (a) discover any errors such as dead hotlinks or online sources that contain inaccurate or inappropriate information; (b) are aware of any trustworthy online resources that would expand this list; or (c) would like to recommend a career that can be added to this resource, please share this information with me at dappleby@iupui.edu.

+ +

Rationale and Purpose of This Resource

+ +

Undergraduate psychology programs have traditionally provided students with an abundant variety of opportunities to acquire the KSCs necessary to prepare for graduate school, which is the post-baccalaureate step most familiar to psychology faculty. While this strategy has worked well for the small subset of psychology majors who enter graduate school after completing their undergraduate education, it has not always been as successful for the vast majority who enter the workforce immediately after they graduate. The authors of the APA Guidelines for the Undergraduate Psychology Major (American Psychological Association [APA], 2013) recognized this problem and sought to reduce its negative impact by urging undergraduate programs to help their career-seeking students develop more meaningful professional direction by (a) acquiring an understanding of the careers in which people with backgrounds in psychology are typically employed and (b) becoming familiar with the KSCs desired by those who hire people with baccalaureate degrees in psychology. Once students acquire this foundational information—and use it to identify their potential career paths—faculty and advisors can provide them with specific strategies to utilize their curricular and extracurricular opportunities to identify, clarify, prepare for, and attain their professional goals. The purpose of this resource is to provide ALL psychology majors—whether or not they plan to attend graduate school—with access to the broad panorama of careers they can enter, the nature of these careers, and the KSCs they will need to obtain and succeed in these careers.

+ +

Description and Instructions for the Resource

+ +

The 300 careers in this resource are accompanied by more than 2,000 internet sites that contain information about the nature of these careers. To increase the navigational efficiency of this 83-page resource, these careers are organized into the following 11 categories and are listed in alphabetical order within each category:

+ +
    +
  1. Business, Advertising, and Finance
    2. +
  2. Children and Families
    3. +
  3. Counseling
    4. +
  4. Education
    5. +
  5. Health and Medical Services
    6. +
  6. Human Resources
    7. +
  7. Law and Law Enforcement
    8. +
  8. Military
    9. +
  9. Psychology
    10. +
  10. Religion and Spirituality
    11. +
  11. Social and Human Services
    12. +
  12. Sport, Fitness, and Recreation
    13. +
  13. Technology
    14. +
  14. Therapy
    15. +
  15. Other
    16. +
+ +

To access career information, find the career category that most interests you, then locate the name of the career you want to learn about in that list. The following URL addresses that provide general information about the career will be listed underneath the career name:

+ + + +

If you have any suggestions, corrections, or additional information to improve this resource, please feel free to contact me at dappleby@iupui.edu.

+ +
+

© 2024 Drew C. Appleby. All rights reserved.

-

✨ Search Jobs ✨

+

✨Search Jobs ✨

-

- +

+
diff --git a/jobs.json b/jobs.json index 43cb741..9a20504 100644 --- a/jobs.json +++ b/jobs.json @@ -79,7 +79,8 @@ "url": "https://www.youtube.com/watch?v=OxKlgYDsdX4" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $39,680 per year\n
$19.08 per hour\n
Typical Entry-Level Education High school diploma or equivalent
Number of Jobs, 2023 2,954,600
Job Outlook, 2023-33-5% (Decline)
Employment Change, 2023-33 -148,800
Source: www.bls.gov
" }, "Customer Service Representative Supervisor": { "links": [ @@ -152,7 +153,8 @@ "url": "https://www.youtube.com/watch?v=traGKwKz93k" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $99,580 per year\n
$47.88 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 321,000
Job Outlook, 2023-3317% (Much faster than average)
Employment Change, 2023-33 55,000
Source: www.bls.gov
" }, "Fund Raiser": { "links": [ @@ -259,7 +261,8 @@ "url": "https://www.youtube.com/watch?v=OFuRkFAyxr4" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $69,990 per year\n
$33.65 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 334,100
Job Outlook, 2023-331% (Slower than average)
Employment Change, 2023-33 4,500
Source: www.bls.gov
" }, "Loss Prevention Manager": { "links": [ @@ -313,7 +316,8 @@ "url": "http://www.youtube.com/watch?v=WY4fq7Tudv8" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $99,410 per year\n
$47.80 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 1,018,300
Job Outlook, 2023-3311% (Much faster than average)
Employment Change, 2023-33 107,900
Source: www.bls.gov
" }, "Market Research Analyst": { "links": [ @@ -371,7 +375,8 @@ "url": "https://www.youtube.com/watch?v=d6_0MxDMPBw" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $110,680 per year\n
$53.21 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 562,700
Job Outlook, 2023-3329% (Much faster than average)
Employment Change, 2023-33 160,600
Source: www.bls.gov
" }, "Media Buyer": { "links": [ @@ -481,7 +486,8 @@ "url": "https://www.youtube.com/watch?v=Jdii7KZkEow" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $56,620 per year\n
$27.22 per hour\n
Typical Entry-Level Education High school diploma or equivalent
Number of Jobs, 2023 544,400
Job Outlook, 2023-332% (Slower than average)
Employment Change, 2023-33 10,100
Source: www.bls.gov
" }, "Realtor or Real Estate Broker": { "links": [ @@ -504,7 +510,8 @@ "url": "https://www.youtube.com/watch?v=xqDMgjd5_K8" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $56,620 per year\n
$27.22 per hour\n
Typical Entry-Level Education High school diploma or equivalent
Number of Jobs, 2023 544,400
Job Outlook, 2023-332% (Slower than average)
Employment Change, 2023-33 10,100
Source: www.bls.gov
" }, "Retail Salesperson": { "links": [ @@ -527,7 +534,8 @@ "url": "http://www.youtube.com/watch?v=YRr2mTeHZJ0" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $33,900 per year\n
$16.30 per hour\n
Typical Entry-Level Education No formal educational credential
Number of Jobs, 2023 4,078,000
Job Outlook, 2023-330% (Little or no change)
Employment Change, 2023-33 7,900
Source: www.bls.gov
" }, "Sales Representative": { "links": [ @@ -550,7 +558,8 @@ "url": "https://www.youtube.com/watch?v=1aYfS9-TTiM" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $73,080 per year\n
$35.13 per hour\n
Typical Entry-Level Education See How to Become One
Number of Jobs, 2023 1,681,400
Job Outlook, 2023-331% (Slower than average)
Employment Change, 2023-33 20,000
Source: www.bls.gov
" }, "Training and Development Manager": { "links": [ @@ -593,7 +602,8 @@ "url": "https://www.youtube.com/watch?v=VjRJOCR5q3g" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $125,040 per year\n
$60.12 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 43,200
Job Outlook, 2023-337% (Faster than average)
Employment Change, 2023-33 3,200
Source: www.bls.gov
" }, "Training and Development Specialist": { "links": [ @@ -615,7 +625,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $64,340 per year\n
$30.94 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 420,100
Job Outlook, 2023-3312% (Much faster than average)
Employment Change, 2023-33 48,500
Source: www.bls.gov
" }, "Public Relations Representative": { "links": [ @@ -1503,7 +1514,8 @@ "url": "http://www.youtube.com/watch?v=dJuo937gz44" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $95,770 per year\n
$46.05 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 3,500
Job Outlook, 2023-3316% (Much faster than average)
Employment Change, 2023-33 600
Source: www.bls.gov
" }, "Gerontological Counselor": { "links": [ @@ -1795,7 +1807,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $61,710 per year\n
$29.67 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 360,800
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 16,200
Source: www.bls.gov
" }, "Spiritual or Meditative Counselor": { "links": [ @@ -1940,7 +1953,8 @@ "url": "http://www.youtube.com/watch?v=Y3bx6IWYmD8" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $63,670 per year\n \n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 1,563,700
Job Outlook, 2023-33-1% (Decline)
Employment Change, 2023-33 -11,500
Source: www.bls.gov
" }, "Financial Aid Counselor": { "links": [ @@ -1988,7 +2002,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $65,220 per year\n \n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 1,071,400
Job Outlook, 2023-33-1% (Decline)
Employment Change, 2023-33 -6,900
Source: www.bls.gov
" }, "Preschool Teacher": { "links": [ @@ -2014,7 +2029,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $37,130 per year\n
$17.85 per hour\n
Typical Entry-Level Education Associate's degree
Number of Jobs, 2023 528,500
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 23,300
Source: www.bls.gov
" }, "Residential Advisor / Director": { "links": [ @@ -2234,7 +2250,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $64,340 per year\n
$30.94 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 420,100
Job Outlook, 2023-3312% (Much faster than average)
Employment Change, 2023-33 48,500
Source: www.bls.gov
" }, "Transcript Evaluator": { "links": [], @@ -2284,7 +2301,8 @@ "url": "https://www.youtube.com/watch?v=4kHTEUDqUSQ" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $61,710 per year\n
$29.67 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 360,800
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 16,200
Source: www.bls.gov
" }, "Assessment Professional or Program Evaluator": { "links": [ @@ -2359,7 +2377,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $84,380 per year\n \n
Typical Entry-Level Education See How to Become One
Number of Jobs, 2023 1,397,600
Job Outlook, 2023-338% (Faster than average)
Employment Change, 2023-33 111,400
Source: www.bls.gov
" }, "College or University Administrator": { "links": [ @@ -2377,7 +2396,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $102,610 per year\n
$49.33 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 216,400
Job Outlook, 2023-333% (As fast as average)
Employment Change, 2023-33 6,200
Source: www.bls.gov
" }, "Director of College or University Admissions": { "links": [ @@ -2400,7 +2420,8 @@ "url": "http://www.youtube.com/watch?v=GpRFIClAWEg" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $102,610 per year\n
$49.33 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 216,400
Job Outlook, 2023-333% (As fast as average)
Employment Change, 2023-33 6,200
Source: www.bls.gov
" }, "Educational Psychologist": { "links": [ @@ -2486,7 +2507,8 @@ "url": "https://www.youtube.com/watch?v=5ukp8Kf0chY" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $74,620 per year\n
$35.87 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 225,200
Job Outlook, 2023-332% (Slower than average)
Employment Change, 2023-33 4,100
Source: www.bls.gov
" }, "Instructional Designer or E-Learning Developer": { "links": [ @@ -2577,7 +2599,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $61,710 per year\n
$29.67 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 360,800
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 16,200
Source: www.bls.gov
" }, "School Psychologist": { "links": [ @@ -2693,7 +2716,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $58,380 per year\n
$28.07 per hour\n
Typical Entry-Level Education See How to Become One
Number of Jobs, 2023 751,900
Job Outlook, 2023-337% (Faster than average)
Employment Change, 2023-33 54,700
Source: www.bls.gov
" }, "Social Work Teacher, Postsecondary": { "links": [ @@ -2755,7 +2779,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $89,290 per year\n
$42.93 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 180,800
Job Outlook, 2023-3318% (Much faster than average)
Employment Change, 2023-33 33,300
Source: www.bls.gov
" }, "Student Affairs Professional": { "links": [], @@ -2915,7 +2940,8 @@ "url": "http://www.youtube.com/watch?v=Ex0OFvSGpwQ" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $62,860 per year\n
$30.22 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 62,100
Job Outlook, 2023-337% (Faster than average)
Employment Change, 2023-33 4,300
Source: www.bls.gov
" }, "Health Information Specialist": { "links": [ @@ -2977,7 +3003,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $60,580 per year\n
$29.13 per hour\n
Typical Entry-Level Education Associate's degree
Number of Jobs, 2023 61,000
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 2,500
Source: www.bls.gov
" }, "Medical Scribe": { "links": [ @@ -3030,7 +3057,8 @@ "url": "https://www.youtube.com/watch?v=d6_0MxDMPBw" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $110,680 per year\n
$53.21 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 562,700
Job Outlook, 2023-3329% (Much faster than average)
Employment Change, 2023-33 160,600
Source: www.bls.gov
" }, "Paramedic or Emergency Medical Technician": { "links": [ @@ -3052,7 +3080,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $44,780 per year\n
$21.53 per hour\n
Typical Entry-Level Education Postsecondary nondegree award
Number of Jobs, 2023 270,400
Job Outlook, 2023-336% (Faster than average)
Employment Change, 2023-33 16,200
Source: www.bls.gov
" }, "Patient Advocate": { "links": [ @@ -3131,7 +3160,8 @@ "url": "https://www.youtube.com/watch?v=u4flggkTkeg" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $39,610 per year\n
$19.05 per hour\n
Typical Entry-Level Education See How to Become One
Number of Jobs, 2023 160,600
Job Outlook, 2023-3313% (Much faster than average)
Employment Change, 2023-33 21,600
Source: www.bls.gov
" }, "Psychiatric Technician": { "links": [ @@ -3244,7 +3274,8 @@ "url": "https://www.youtube.com/watch?v=_OIcPbndZMo" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $87,740 per year\n
$42.19 per hour\n
Typical Entry-Level Education Doctoral or professional degree
Number of Jobs, 2023 14,400
Job Outlook, 2023-3311% (Much faster than average)
Employment Change, 2023-33 1,600
Source: www.bls.gov
" }, "Behavioral Health Consultant / Counselor": { "links": [ @@ -3311,7 +3342,8 @@ "url": "https://www.youtube.com/watch?v=IvtYWaRdq3k" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $76,530 per year\n
$36.79 per hour\n
Typical Entry-Level Education Doctoral or professional degree
Number of Jobs, 2023 61,200
Job Outlook, 2023-3310% (Much faster than average)
Employment Change, 2023-33 6,100
Source: www.bls.gov
" }, "Child Psychiatrist": { "links": [ @@ -3347,7 +3379,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $170,910 per year\n
$82.17 per hour\n
Typical Entry-Level Education Doctoral or professional degree
Number of Jobs, 2023 160,600
Job Outlook, 2023-335% (As fast as average)
Employment Change, 2023-33 7,300
Source: www.bls.gov
" }, "Dietitian": { "links": [ @@ -3370,7 +3403,8 @@ "url": "http://www.youtube.com/watch?v=OZYvFT4TscM" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $69,680 per year\n
$33.50 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 81,300
Job Outlook, 2023-337% (Faster than average)
Employment Change, 2023-33 6,000
Source: www.bls.gov
" }, "Epidemiologist": { "links": [ @@ -3413,7 +3447,8 @@ "url": "https://www.youtube.com/watch?v=rDRr8kpLdug" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $81,390 per year\n
$39.13 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 11,000
Job Outlook, 2023-3319% (Much faster than average)
Employment Change, 2023-33 2,100
Source: www.bls.gov
" }, "Health Psychologist": { "links": [ @@ -3741,7 +3776,8 @@ "url": "https://www.youtube.com/watch?v=sc3YJz2lBU4" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n This wage is equal to or greater than $239,200 per year or $115.00 per hour.\n \n
Typical Entry-Level Education Doctoral or professional degree
Number of Jobs, 2023 834,500
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 34,500
Source: www.bls.gov
" }, "Nurse Practitioner": { "links": [ @@ -3786,7 +3822,8 @@ "url": "http://www.youtube.com/watch?v=szOp8MD8ynI" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $131,860 per year\n
$63.39 per hour\n
Typical Entry-Level Education Doctoral or professional degree
Number of Jobs, 2023 49,300
Job Outlook, 2023-339% (Much faster than average)
Employment Change, 2023-33 4,300
Source: www.bls.gov
" }, "Pediatric Psychologist": { "links": [ @@ -3899,7 +3936,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n This wage is equal to or greater than $239,200 per year or $115.00 per hour.\n \n
Typical Entry-Level Education Doctoral or professional degree
Number of Jobs, 2023 834,500
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 34,500
Source: www.bls.gov
" }, "Physician Assistant": { "links": [ @@ -3938,7 +3976,8 @@ "url": "https://www.youtube.com/watch?v=2u5mr9ZEK3s" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $130,020 per year\n
$62.51 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 153,400
Job Outlook, 2023-3328% (Much faster than average)
Employment Change, 2023-33 43,700
Source: www.bls.gov
" }, "Psychiatrist": { "links": [ @@ -4087,7 +4126,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $119,100 per year\n
$57.26 per hour\n
Typical Entry-Level Education Doctoral or professional degree
Number of Jobs, 2023 88,200
Job Outlook, 2023-3319% (Much faster than average)
Employment Change, 2023-33 16,800
Source: www.bls.gov
" } } }, @@ -4346,7 +4386,8 @@ "url": "https://www.youtube.com/watch?v=VjRJOCR5q3g" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $125,040 per year\n
$60.12 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 43,200
Job Outlook, 2023-337% (Faster than average)
Employment Change, 2023-33 3,200
Source: www.bls.gov
" }, "Training and Development Specialist": { "links": [ @@ -4372,7 +4413,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $64,340 per year\n
$30.94 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 420,100
Job Outlook, 2023-3312% (Much faster than average)
Employment Change, 2023-33 48,500
Source: www.bls.gov
" }, "Career, Employment, or Vocational Counselor": { "links": [ @@ -4504,7 +4546,8 @@ "url": "http://www.youtube.com/watch?v=vmLmxgmSUig" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $61,800 per year\n
$29.71 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 90,700
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 3,200
Source: www.bls.gov
" }, "Corrections Officer": { "links": [ @@ -4527,7 +4570,8 @@ "url": "http://www.youtube.com/watch?v=2mXxRl60XnY" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $53,290 per year\n
$25.62 per hour\n
Typical Entry-Level Education High school diploma or equivalent
Number of Jobs, 2023 387,500
Job Outlook, 2023-33-6% (Decline)
Employment Change, 2023-33 -25,100
Source: www.bls.gov
" }, "Criminal Investigator or Detective (FBI and other)": { "links": [ @@ -4590,7 +4634,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $71,420 per year\n
$34.34 per hour\n
Typical Entry-Level Education See How to Become One
Number of Jobs, 2023 17,300
Job Outlook, 2023-336% (Faster than average)
Employment Change, 2023-33 1,100
Source: www.bls.gov
" }, "Fraud Examiners / Investigators / Analyst": { "links": [ @@ -4751,7 +4796,8 @@ "url": "http://www.youtube.com/watch?v=GjQtdOjXvH8" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $74,910 per year\n
$36.02 per hour\n
Typical Entry-Level Education See How to Become One
Number of Jobs, 2023 796,800
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 28,700
Source: www.bls.gov
" }, "Polygraph Examiner": { "links": [ @@ -4795,7 +4841,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $61,800 per year\n
$29.71 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 90,700
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 3,200
Source: www.bls.gov
" }, "Security Manager": { "links": [ @@ -5097,7 +5144,8 @@ } ], "videos": [], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $145,760 per year\n
$70.08 per hour\n
Typical Entry-Level Education Doctoral or professional degree
Number of Jobs, 2023 859,000
Job Outlook, 2023-335% (As fast as average)
Employment Change, 2023-33 44,200
Source: www.bls.gov
" }, "Operational Psychologist": { "links": [ @@ -8377,7 +8425,8 @@ "url": "http://www.youtube.com/watch?v=VcsFzoBrmb0" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $58,380 per year\n
$28.07 per hour\n
Typical Entry-Level Education See How to Become One
Number of Jobs, 2023 751,900
Job Outlook, 2023-337% (Faster than average)
Employment Change, 2023-33 54,700
Source: www.bls.gov
" }, "Community Organization Worker": { "links": [ @@ -8576,7 +8625,8 @@ "url": "https://www.youtube.com/watch?v=gOn3ANiyo38" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $41,410 per year\n
$19.91 per hour\n
Typical Entry-Level Education High school diploma or equivalent
Number of Jobs, 2023 433,000
Job Outlook, 2023-338% (Faster than average)
Employment Change, 2023-33 34,400
Source: www.bls.gov
" }, "Clinical Social Worker": { "links": [ @@ -8823,7 +8873,8 @@ "url": "https://www.youtube.com/watch?v=dEoqSY55WrM" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $45,910 per year\n \n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 307,100
Job Outlook, 2023-339% (Much faster than average)
Employment Change, 2023-33 26,900
Source: www.bls.gov
" }, "Fitness Trainer, Personal Trainer, or Aerobics Instructor": { "links": [ @@ -8898,7 +8949,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $34,410 per year\n
$16.55 per hour\n
Typical Entry-Level Education High school diploma or equivalent
Number of Jobs, 2023 300,000
Job Outlook, 2023-335% (As fast as average)
Employment Change, 2023-33 16,500
Source: www.bls.gov
" }, "Recreational Therapist": { "links": [ @@ -8929,7 +8981,8 @@ "url": "http://www.youtube.com/watch?v=1XJD5XDihhY" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $57,120 per year\n
$27.46 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 16,600
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 700
Source: www.bls.gov
" }, "Exercise Therapist": { "links": [ @@ -9146,7 +9199,8 @@ "url": "http://www.youtube.com/watch?v=Y7iIZYkwR9I" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $117,450 per year\n
$56.46 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 141,900
Job Outlook, 2023-339% (Much faster than average)
Employment Change, 2023-33 13,200
Source: www.bls.gov
" }, "Data Base Design Analyst": { "links": [ @@ -9174,7 +9228,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $130,160 per year\n
$62.58 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 1,897,100
Job Outlook, 2023-3317% (Much faster than average)
Employment Change, 2023-33 327,900
Source: www.bls.gov
" }, "Systems Analyst": { "links": [ @@ -9201,7 +9256,8 @@ "url": "http://www.youtube.com/watch?v=tChuHB4eHQM" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $103,800 per year\n
$49.90 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 527,200
Job Outlook, 2023-3311% (Much faster than average)
Employment Change, 2023-33 56,500
Source: www.bls.gov
" }, "User Experience Analyst": { "links": [ @@ -9380,7 +9436,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $58,740 per year\n
$28.24 per hour\n
Typical Entry-Level Education See How to Become One
Number of Jobs, 2023 152,800
Job Outlook, 2023-3319% (Much faster than average)
Employment Change, 2023-33 28,800
Source: www.bls.gov
" }, "Recreational Therapist": { "links": [ @@ -9411,7 +9468,8 @@ "url": "http://www.youtube.com/watch?v=1XJD5XDihhY" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $57,120 per year\n
$27.46 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 16,600
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 700
Source: www.bls.gov
" }, "Applied Behavioral Analysis Therapist": { "links": [ @@ -9485,7 +9543,8 @@ "url": "https://www.youtube.com/watch?v=Dej22djjBrw" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $57,120 per year\n
$27.46 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 16,600
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 700
Source: www.bls.gov
" }, "Dialectical Behavioral Therapist": { "links": [ @@ -9707,7 +9766,8 @@ "url": "https://www.youtube.com/watch?v=r0aCJtkDdSE" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $96,370 per year\n
$46.33 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 150,500
Job Outlook, 2023-3311% (Much faster than average)
Employment Change, 2023-33 16,800
Source: www.bls.gov
" }, "Outpatient Therapist": { "links": [ @@ -9778,7 +9838,8 @@ "url": "https://www.youtube.com/watch?v=wJjykZLfHA4" } ], - "degree_required": "Graduate's" + "degree_required": "Graduate's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $99,710 per year\n
$47.94 per hour\n
Typical Entry-Level Education Doctoral or professional degree
Number of Jobs, 2023 259,200
Job Outlook, 2023-3314% (Much faster than average)
Employment Change, 2023-33 36,800
Source: www.bls.gov
" }, "Primary Therapist": { "links": [ @@ -10043,7 +10104,8 @@ "url": "https://www.youtube.com/watch?v=9pJUwqpl0vQ" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n \n $24.95 per hour\n
Typical Entry-Level Education See How to Become One
Number of Jobs, 2023 20,600
Job Outlook, 2023-336% (Faster than average)
Employment Change, 2023-33 1,300
Source: www.bls.gov
" }, "Emergency Management Director/Coordinator": { "links": [ @@ -10086,7 +10148,8 @@ "url": "https://www.youtube.com/watch?v=8tYeBn1k6QU" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $83,960 per year\n
$40.37 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 12,400
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 500
Source: www.bls.gov
" }, "Flight Attendant": { "links": [ @@ -10121,7 +10184,8 @@ "url": "https://www.youtube.com/watch?v=C-FkCDuCmgA" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $68,370 per year\n \n
Typical Entry-Level Education High school diploma or equivalent
Number of Jobs, 2023 130,300
Job Outlook, 2023-3310% (Much faster than average)
Employment Change, 2023-33 12,900
Source: www.bls.gov
" }, "Interior Designer": { "links": [ @@ -10143,7 +10207,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $62,510 per year\n
$30.05 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 92,200
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 3,700
Source: www.bls.gov
" }, "Life Coach": { "links": [ @@ -10209,7 +10274,8 @@ "url": "https://www.youtube.com/watch?v=hsRRMaX_neg" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $56,920 per year\n
$27.36 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 149,000
Job Outlook, 2023-337% (Faster than average)
Employment Change, 2023-33 9,900
Source: www.bls.gov
" }, "Photographer": { "links": [ @@ -10268,7 +10334,8 @@ } ], "videos": [], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $60,960 per year\n
$29.31 per hour\n
Typical Entry-Level Education Master's degree
Number of Jobs, 2023 9,700
Job Outlook, 2023-330% (Little or no change)
Employment Change, 2023-33 0
Source: www.bls.gov
" }, "Technical Writer": { "links": [ @@ -10291,7 +10358,8 @@ "url": "https://www.youtube.com/watch?v=eZm22PGDeVk" } ], - "degree_required": "Bachelor's" + "degree_required": "Bachelor's", + "jobs_table": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Quick Facts Table
\t\t\t\t\t\t\t\t\t\t2023 Median Pay\t\t\t\t\t\t\t\t\t\t \n $80,050 per year\n
$38.49 per hour\n
Typical Entry-Level Education Bachelor's degree
Number of Jobs, 2023 50,100
Job Outlook, 2023-334% (As fast as average)
Employment Change, 2023-33 2,000
Source: www.bls.gov
" }, "Transformational Coach": { "links": [ diff --git a/output.txt b/output.txt new file mode 100644 index 0000000..c26fefd --- /dev/null +++ b/output.txt @@ -0,0 +1,347 @@ +Sorted by Frequency: +apa.org: 413 +youtube.com: 354 +psychologyschoolguide.net: 118 +careersinpsychology.org: 118 +drkit.org: 115 +onetonline.org: 108 +online.onetcenter.org: 88 +bls.gov: 88 +psychologycareercenter.org: 59 +teachpsych.org: 38 +psychlearningcurve.org: 36 +education-portal.com: 27 +psichi.org: 24 +allpsychologycareers.com: 23 +study.com: 22 +occupationalinfo.org: 22 +careerplanner.com: 21 +mymajors.com: 14 +work.chron.com: 14 +job-descriptions.careerplanner.com: 14 +ehow.com: 12 +careers.stateuniversity.com: 12 +americasjobexchange.com: 9 +myplan.com: 9 +truity.com: 9 +psychology.about.com: 9 +explorehealthcareers.org: 7 +money.usnews.com: 6 +collegeatlas.org: 6 +careerprofiles.info: 6 +oppsych.com: 6 +hiring.monster.com: 5 +learn.org: 5 +sokanu.com: 5 +totaljobs.com: 4 +prospects.ac.uk: 4 +payscale.com: 4 +counselor-license.com: 4 +navy.com: 4 +campusexplorer.com: 3 +careerplanning.about.com: 3 +humanresourcesmba.net: 3 +michigan.gov: 3 +careerinfonet.org: 3 +oureverydaylife.com: 3 +educationportal.com: 3 +wisegeek.com: 3 +collegegrad.com: 2 +healthcareers.about.com: 2 +innerbody.com: 2 +resources.workable.com: 2 +onlinehumanresources.net: 2 +targetjobs.co.uk: 2 +health.usnews.com: 2 +mayo.edu: 2 +woman.thenest.com: 2 +humanservicesedu.org: 2 +div17.org: 2 +geteducated.com: 2 +aapc.org: 2 +biblicalcounselingcoalition.org: 2 +dot-job-descriptions.careerplanner.com: 2 +asha.org: 2 +nationalcareersservice.direct.gov.uk: 2 +academicinvest.com: 2 +apna.org: 2 +acponline.org: 2 +sohp-online.org: 2 +careersinpublichealth.net: 2 +criminologycareers.about.com: 2 +learningpath.org: 2 +policepsychology.org: 2 +apadivisions.org: 2 +psychologytoday.com: 2 +musicpsychology.co.uk: 2 +inputyouth.co.uk: 2 +apsa.org: 2 +nytimes.com: 2 +samples.jbpub.com: 2 +onetcenter.org: 1 +mynextmove.org: 1 +forbes.com: 1 +hbr.org: 1 +siop.org: 1 +city-data.com: 1 +counselling-directory.org.uk: 1 +allpsychologyschools.com: 1 +neumann.edu: 1 +agency.governmentjobs.com: 1 +swz.salary.com: 1 +missouristate.edu: 1 +pcc.edu: 1 +earlychildhoodteacher.org: 1 +emory.edu: 1 +nacada.ksu.edu: 1 +suu.edu: 1 +apadiv15.org: 1 +blogs.articulate.com: 1 +jobshadow.com: 1 +childlife.org: 1 +ndworksitewellness.org: 1 +floridatechonline.com: 1 +acefitness.org: 1 +healthcarepathway.com: 1 +healthcaresalaryworld.com: 1 +scribeamerica.com: 1 +kansashealthsolutions.org: 1 +senescence.info: 1 +publichealthonline.org: 1 +who.int: 1 +hospitalmedicine.org: 1 +studentdoctor.net: 1 +bastyr.edu: 1 +aanp.org: 1 +humanresourceadvisors.com: 1 +job-analysis.net: 1 +gostudy.mobi: 1 +www1.salary.com: 1 +superscholar.org: 1 +firescience.org: 1 +journalofaccountancy.com: 1 +acfe.com: 1 +bankinfosecurity.com: 1 +owlguru.com: 1 +paralegal.edu: 1 +spartanburgsheriff.org: 1 +legalcareers.about.com: 1 +allaboutcareers.com: 1 +armystudyguide.com: 1 +nationalguard.com: 1 +va.gov: 1 +thesap.org.uk: 1 +div12.org: 1 +div40.org: 1 +sciencedaily.com: 1 +psychology.jrank.org: 1 +darahoffmanfox.com: 1 +psychologydegreeguide.org: 1 +aaronjarden.com: 1 +ispp.org: 1 +all-about-psychology.com: 1 +mastersinpsychologyguide.com: 1 +youthministry.com: 1 +thegospelcoalition.org: 1 +socialworkdegreeguide.com: 1 +infed.org: 1 +recruiter.com: 1 +afaa.com: 1 +exercise.about.com: 1 +issaonline.com: 1 +hrvillage.com: 1 +thebusinessanalystjobdescription.com: 1 +artisantalent.com: 1 +acodez.in: 1 +glassdoor.com: 1 +interaction-design.org: 1 +jstor.org: 1 +gamedesigning.org: 1 +adigitaldreamer.com: 1 +allalliedhealthschools.com: 1 +pmi.edu: 1 +apta.org: 1 +behavioraltech.org: 1 +psychcentral.com: 1 +goodtherapy.org: 1 +webmd.com: 1 +aact.org: 1 +gardencityga.org: 1 +chicagotribune.com: 1 +wikihow.com: 1 +theparadigmshifts.com: 1 +centerfortransformationalcoaching.com: 1 + +Sorted Alphabetically: +aact.org: 1 +aanp.org: 1 +aapc.org: 2 +aaronjarden.com: 1 +academicinvest.com: 2 +acefitness.org: 1 +acfe.com: 1 +acodez.in: 1 +acponline.org: 2 +adigitaldreamer.com: 1 +afaa.com: 1 +agency.governmentjobs.com: 1 +all-about-psychology.com: 1 +allaboutcareers.com: 1 +allalliedhealthschools.com: 1 +allpsychologycareers.com: 23 +allpsychologyschools.com: 1 +americasjobexchange.com: 9 +apa.org: 413 +apadiv15.org: 1 +apadivisions.org: 2 +apna.org: 2 +apsa.org: 2 +apta.org: 1 +armystudyguide.com: 1 +artisantalent.com: 1 +asha.org: 2 +bankinfosecurity.com: 1 +bastyr.edu: 1 +behavioraltech.org: 1 +biblicalcounselingcoalition.org: 2 +blogs.articulate.com: 1 +bls.gov: 88 +campusexplorer.com: 3 +careerinfonet.org: 3 +careerplanner.com: 21 +careerplanning.about.com: 3 +careerprofiles.info: 6 +careers.stateuniversity.com: 12 +careersinpsychology.org: 118 +careersinpublichealth.net: 2 +centerfortransformationalcoaching.com: 1 +chicagotribune.com: 1 +childlife.org: 1 +city-data.com: 1 +collegeatlas.org: 6 +collegegrad.com: 2 +counselling-directory.org.uk: 1 +counselor-license.com: 4 +criminologycareers.about.com: 2 +darahoffmanfox.com: 1 +div12.org: 1 +div17.org: 2 +div40.org: 1 +dot-job-descriptions.careerplanner.com: 2 +drkit.org: 115 +earlychildhoodteacher.org: 1 +education-portal.com: 27 +educationportal.com: 3 +ehow.com: 12 +emory.edu: 1 +exercise.about.com: 1 +explorehealthcareers.org: 7 +firescience.org: 1 +floridatechonline.com: 1 +forbes.com: 1 +gamedesigning.org: 1 +gardencityga.org: 1 +geteducated.com: 2 +glassdoor.com: 1 +goodtherapy.org: 1 +gostudy.mobi: 1 +hbr.org: 1 +health.usnews.com: 2 +healthcareers.about.com: 2 +healthcarepathway.com: 1 +healthcaresalaryworld.com: 1 +hiring.monster.com: 5 +hospitalmedicine.org: 1 +hrvillage.com: 1 +humanresourceadvisors.com: 1 +humanresourcesmba.net: 3 +humanservicesedu.org: 2 +infed.org: 1 +innerbody.com: 2 +inputyouth.co.uk: 2 +interaction-design.org: 1 +ispp.org: 1 +issaonline.com: 1 +job-analysis.net: 1 +job-descriptions.careerplanner.com: 14 +jobshadow.com: 1 +journalofaccountancy.com: 1 +jstor.org: 1 +kansashealthsolutions.org: 1 +learn.org: 5 +learningpath.org: 2 +legalcareers.about.com: 1 +mastersinpsychologyguide.com: 1 +mayo.edu: 2 +michigan.gov: 3 +missouristate.edu: 1 +money.usnews.com: 6 +musicpsychology.co.uk: 2 +mymajors.com: 14 +mynextmove.org: 1 +myplan.com: 9 +nacada.ksu.edu: 1 +nationalcareersservice.direct.gov.uk: 2 +nationalguard.com: 1 +navy.com: 4 +ndworksitewellness.org: 1 +neumann.edu: 1 +nytimes.com: 2 +occupationalinfo.org: 22 +onetcenter.org: 1 +onetonline.org: 108 +online.onetcenter.org: 88 +onlinehumanresources.net: 2 +oppsych.com: 6 +oureverydaylife.com: 3 +owlguru.com: 1 +paralegal.edu: 1 +payscale.com: 4 +pcc.edu: 1 +pmi.edu: 1 +policepsychology.org: 2 +prospects.ac.uk: 4 +psichi.org: 24 +psychcentral.com: 1 +psychlearningcurve.org: 36 +psychology.about.com: 9 +psychology.jrank.org: 1 +psychologycareercenter.org: 59 +psychologydegreeguide.org: 1 +psychologyschoolguide.net: 118 +psychologytoday.com: 2 +publichealthonline.org: 1 +recruiter.com: 1 +resources.workable.com: 2 +samples.jbpub.com: 2 +sciencedaily.com: 1 +scribeamerica.com: 1 +senescence.info: 1 +siop.org: 1 +socialworkdegreeguide.com: 1 +sohp-online.org: 2 +sokanu.com: 5 +spartanburgsheriff.org: 1 +studentdoctor.net: 1 +study.com: 22 +superscholar.org: 1 +suu.edu: 1 +swz.salary.com: 1 +targetjobs.co.uk: 2 +teachpsych.org: 38 +thebusinessanalystjobdescription.com: 1 +thegospelcoalition.org: 1 +theparadigmshifts.com: 1 +thesap.org.uk: 1 +totaljobs.com: 4 +truity.com: 9 +va.gov: 1 +webmd.com: 1 +who.int: 1 +wikihow.com: 1 +wisegeek.com: 3 +woman.thenest.com: 2 +work.chron.com: 14 +www1.salary.com: 1 +youthministry.com: 1 +youtube.com: 354 diff --git a/web_retrieval.ipynb b/web_retrieval.ipynb index 058eaf6..4869c75 100644 --- a/web_retrieval.ipynb +++ b/web_retrieval.ipynb @@ -2623,28 +2623,84 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Try and reformat table" + "## Do that for every website" ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Error: Unable to find the Quick Facts table. Exception: Message: no such window: target window already closed\n", - "from unknown error: web view not found\n", - " (Session info: MicrosoftEdge=130.0.2849.46)\n", + "Processing job: Advertising Sales Representative / Agent / Executive in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/sales/advertising-sales-agents.htm\n", + "Processing job: Assistant Bank Manager in category: Business, Advertising, and Finance\n", + "Processing job: Claims Supervisor in category: Business, Advertising, and Finance\n", + "Processing job: Customer Service Representative in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/office-and-administrative-support/customer-service-representatives.htm\n", + "Processing job: Customer Service Representative Supervisor in category: Business, Advertising, and Finance\n", + "Processing job: Department Manager in category: Business, Advertising, and Finance\n", + "Processing job: Financial Advisor in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/business-and-financial/personal-financial-advisors.htm\n", + "Processing job: Fund Raiser in category: Business, Advertising, and Finance\n", + "Processing job: General Operations Manager in category: Business, Advertising, and Finance\n", + "Processing job: Loan Counselor in category: Business, Advertising, and Finance\n", + "Processing job: Loan Officer in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/business-and-financial/loan-officers.htm\n", + "Processing job: Loss Prevention Manager in category: Business, Advertising, and Finance\n", + "Processing job: Management Analyst in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/business-and-financial/management-analysts.htm\n", + "Processing job: Market Research Analyst in category: Business, Advertising, and Finance\n", + "Processing job: Medical and Health Services Manager in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/management/medical-and-health-services-managers.htm\n", + "Processing job: Media Buyer in category: Business, Advertising, and Finance\n", + "Processing job: Pharmaceutical Sales Representative in category: Business, Advertising, and Finance\n", + "Processing job: Purchasing Agent in category: Business, Advertising, and Finance\n", + "Processing job: Realtor or Real Estate Agent in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/sales/real-estate-brokers-and-sales-agents.htm\n", + "Processing job: Realtor or Real Estate Broker in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/sales/real-estate-brokers-and-sales-agents.htm\n", + "Processing job: Retail Salesperson in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/sales/retail-sales-workers.htm\n", + "Processing job: Sales Representative in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/sales/wholesale-and-manufacturing-sales-representatives.htm#tab-2\n", + "Processing job: Training and Development Manager in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/OOH/management/training-and-development-managers.htm\n", + "Processing job: Training and Development Specialist in category: Business, Advertising, and Finance\n", + "Scraping Quick Facts from: http://www.bls.gov/OOH/business-and-financial/training-and-development-specialists.htm\n", + "Processing job: Public Relations Representative in category: Business, Advertising, and Finance\n", + "Processing job: Consumer Psychologist in category: Business, Advertising, and Finance\n", + "Processing job: Executive Coach or Public Relations Counselor in category: Business, Advertising, and Finance\n", + "Processing job: Industrial / Organizational Psychologist in category: Business, Advertising, and Finance\n", + "Progress saved: 1 job categories processed.\n", + "Processing job: Child Development Specialist in category: Children and Families\n", + "Processing job: Child Life Specialist in category: Children and Families\n", + "Processing job: Child Welfare, Protection, or Placement Caseworker in category: Children and Families\n", + "Processing job: Child Welfare or Protection Social Worker in category: Children and Families\n", + "Processing job: Parent (Biological or Adoptive) in category: Children and Families\n", + "Processing job: Parent (Professional) in category: Children and Families\n", + "Processing job: Adolescent Psychologist in category: Children and Families\n", + "Processing job: Child Abuse Counselor in category: Children and Families\n", + "Processing job: Child Psychologist in category: Children and Families\n", + "Processing job: Developmental Psychologist in category: Children and Families\n", + "Processing job: Domestic Abuse or Violence Counselor in category: Children and Families\n", + "Processing job: Family Counselor or Caseworker in category: Children and Families\n", + "Scraping Quick Facts from: http://www.bls.gov/oes/current/oes211013.htm\n", + "Error: Unable to find the Quick Facts table at http://www.bls.gov/oes/current/oes211013.htm. Exception: Message: no such element: Unable to locate element: {\"method\":\"css selector\",\"selector\":\"[id=\"quickfacts\"]\"}\n", + " (Session info: MicrosoftEdge=130.0.2849.46); For documentation on this error, please visit: https://www.selenium.dev/documentation/webdriver/troubleshooting/errors#no-such-element-exception\n", "Stacktrace:\n", "\tGetHandleVerifier [0x00007FF69682DC75+12853]\n", "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF696AD83C4+2250276]\n", "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF696A176A6+1460486]\n", - "\t(No symbol) [0x00007FF6965C84C7]\n", - "\t(No symbol) [0x00007FF69664CBED]\n", - "\t(No symbol) [0x00007FF696660D7A]\n", + "\t(No symbol) [0x00007FF6966297CC]\n", + "\t(No symbol) [0x00007FF69662990C]\n", + "\t(No symbol) [0x00007FF696663857]\n", + "\t(No symbol) [0x00007FF69664853F]\n", + "\t(No symbol) [0x00007FF696620617]\n", + "\t(No symbol) [0x00007FF696661431]\n", "\t(No symbol) [0x00007FF696648163]\n", "\t(No symbol) [0x00007FF69661FB54]\n", "\t(No symbol) [0x00007FF69661F000]\n", @@ -2659,864 +2715,218705 @@ "\tMicrosoft::Applications::Events::ILogConfiguration::operator* [0x00007FF6967C2296+346374]\n", "\tBaseThreadInitThunk [0x00007FF8A22F1FD7+23]\n", "\tRtlUserThreadStart [0x00007FF8A2C5D7D0+32]\n", - "\n" - ] - } - ], - "source": [ - "from selenium import webdriver\n", - "from selenium.webdriver.edge.service import Service\n", - "from selenium.webdriver.common.by import By\n", - "from webdriver_manager.microsoft import EdgeChromiumDriverManager\n", - "import time\n", - "from bs4 import BeautifulSoup\n", - "\n", - "# Set up the Edge WebDriver\n", - "options = webdriver.EdgeOptions()\n", - "# Do not use the headless option to see the browser window\n", - "# options.add_argument('--headless') # Do not use this line\n", - "\n", - "# Initialize the Edge WebDriver\n", - "driver = webdriver.Edge(service=Service(EdgeChromiumDriverManager().install()), options=options)\n", - "\n", - "# URL of the page to scrape\n", - "url = \"https://www.bls.gov/ooh/sales/real-estate-brokers-and-sales-agents.htm#tab-1\"\n", - "\n", - "# Open the URL\n", - "driver.get(url)\n", - "\n", - "# Allow time for the page to load\n", - "time.sleep(5) # Increase if necessary to allow the page to fully load\n", - "\n", - "# Try to find the Quick Facts table\n", - "try:\n", - " # Locate the Quick Facts table by its ID\n", - " quickfacts_table = driver.find_element(By.ID, 'quickfacts')\n", - " \n", - " # Get the outer HTML of the table\n", - " quickfacts_html = quickfacts_table.get_attribute('outerHTML')\n", - " \n", - " # Parse the HTML using BeautifulSoup\n", - " soup = BeautifulSoup(quickfacts_html, 'html.parser')\n", - " \n", - " # Remove all links\n", - " for link in soup.find_all('a'):\n", - " link.unwrap() # Remove the link but keep the text\n", - " \n", - " # Remove specific rows\n", - " rows_to_remove = [\"Work Experience in a Related Occupation\", \"On-the-job Training\"]\n", - " for row in soup.find_all('tr'):\n", - " header = row.find('th')\n", - " if header and header.get_text(strip=True) in rows_to_remove:\n", - " row.decompose() # Remove the row entirely\n", - " \n", - " # Modify the first row to have a single cell that spans all columns\n", - " first_row = soup.find('tr')\n", - " first_cell = soup.new_tag('th')\n", - " first_cell['colspan'] = '2' # Set to span all columns\n", - " first_cell.string = 'Quick Facts: Real Estate Brokers and Sales Agents' # Change this to your desired title\n", - " first_row.clear() # Clear existing cells in the first row\n", - " first_row.append(first_cell) # Add the new cell\n", - " \n", - " # Add the source link at the bottom of the table\n", - " source_row = soup.new_tag('tr')\n", - " source_header = soup.new_tag('th')\n", - " source_header['colspan'] = '2' # Span across two columns\n", - " source_header.string = 'Source: '\n", - " \n", - " # Create the source link\n", - " source_link = soup.new_tag('a', href=url)\n", - " source_link.string = 'www.bls.gov'\n", - " source_header.append(source_link)\n", - " \n", - " source_row.append(source_header)\n", - " soup.find('tbody').append(source_row) # Add the source row to the table body\n", - "\n", - " # Get the updated HTML without links and excluded rows\n", - " updated_quickfacts_html = str(soup)\n", - "\n", - " # Create the complete HTML structure with external CSS\n", - " complete_html = f\"\"\"\n", - " \n", - " \n", - " \n", - " Quick Facts Table\n", - " \n", - " \n", - " {updated_quickfacts_html}\n", - " \n", - " \n", - " \"\"\"\n", - "\n", - " # Save the complete HTML to a file\n", - " with open(\"job tables.html\", \"w\", encoding=\"utf-8\") as file:\n", - " file.write(complete_html)\n", - "\n", - " print(\"Quick Facts table with source link has been successfully saved to 'job tables.html'\")\n", - "except Exception as e:\n", - " print(\"Error: Unable to find the Quick Facts table. Exception:\", e)\n", - "\n", - "# Close the WebDriver after you're done\n", - "# driver.quit() # Uncomment this line to close the browser after use\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[2], line 219\u001b[0m\n\u001b[0;32m 216\u001b[0m output_file \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mjobs.json\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 217\u001b[0m url \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://www.bls.gov/ooh/sales/real-estate-brokers-and-sales-agents.htm#tab-1\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 219\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstart_line\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend_line\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moutput_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43murl\u001b[49m\u001b[43m)\u001b[49m\n", - "Cell \u001b[1;32mIn[2], line 200\u001b[0m, in \u001b[0;36mmain\u001b[1;34m(file_path, start_line, end_line, output_file, url)\u001b[0m\n\u001b[0;32m 198\u001b[0m lines \u001b[38;5;241m=\u001b[39m read_docx(file_path, start_line, end_line)\n\u001b[0;32m 199\u001b[0m job_data \u001b[38;5;241m=\u001b[39m parse_lines(lines) \u001b[38;5;66;03m# Parse the job data from the Word document\u001b[39;00m\n\u001b[1;32m--> 200\u001b[0m html_table \u001b[38;5;241m=\u001b[39m \u001b[43mscrape_quick_facts\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# Scrape the HTML table\u001b[39;00m\n\u001b[0;32m 202\u001b[0m \u001b[38;5;66;03m# Combine the job data with the HTML table\u001b[39;00m\n\u001b[0;32m 203\u001b[0m combined_data \u001b[38;5;241m=\u001b[39m {\n\u001b[0;32m 204\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mjobs\u001b[39m\u001b[38;5;124m\"\u001b[39m: job_data,\n\u001b[0;32m 205\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mjobs_table\u001b[39m\u001b[38;5;124m\"\u001b[39m: html_table\n\u001b[0;32m 206\u001b[0m }\n", - "Cell \u001b[1;32mIn[2], line 134\u001b[0m, in \u001b[0;36mscrape_quick_facts\u001b[1;34m(url)\u001b[0m\n\u001b[0;32m 131\u001b[0m driver\u001b[38;5;241m.\u001b[39mget(url)\n\u001b[0;32m 133\u001b[0m \u001b[38;5;66;03m# Allow time for the page to load\u001b[39;00m\n\u001b[1;32m--> 134\u001b[0m \u001b[43mtime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msleep\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# Increase if necessary to allow the page to fully load\u001b[39;00m\n\u001b[0;32m 136\u001b[0m \u001b[38;5;66;03m# Try to find the Quick Facts table\u001b[39;00m\n\u001b[0;32m 137\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 138\u001b[0m \u001b[38;5;66;03m# Locate the Quick Facts table by its ID\u001b[39;00m\n", - "\u001b[1;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], - "source": [ - "import re\n", - "import json\n", - "from docx import Document\n", - "from docx.oxml.ns import qn\n", - "from selenium import webdriver\n", - "from selenium.webdriver.edge.service import Service\n", - "from selenium.webdriver.common.by import By\n", - "from webdriver_manager.microsoft import EdgeChromiumDriverManager\n", - "from bs4 import BeautifulSoup\n", - "import time\n", - "\n", - "# Function to check if run is highlighted and get the highlight color\n", - "def get_highlight_color(run):\n", - " highlight_elements = run.element.xpath('.//w:highlight')\n", - " if highlight_elements:\n", - " highlight_element = highlight_elements[0]\n", - " color = highlight_element.get(qn('w:val'))\n", - " return color\n", - " return None\n", - "\n", - "def read_docx(file_path, start_line, end_line):\n", - " doc = Document(file_path)\n", - " lines = []\n", - " line_count = 0\n", - " for paragraph in doc.paragraphs:\n", - " if start_line <= line_count < end_line:\n", - " para_text = paragraph.text.strip()\n", - " highlight_color = None\n", - " for run in paragraph.runs:\n", - " color = get_highlight_color(run)\n", - " if color:\n", - " highlight_color = color # Capture the first highlighted color in the paragraph\n", - " break\n", - " lines.append((para_text, highlight_color)) # Store line and highlight color as a tuple\n", - " line_count += 1\n", - " return lines\n", - "\n", - "def parse_lines(lines):\n", - " url_pattern = re.compile(r'https?://\\S+')\n", - " youtube_pattern = re.compile(r'(https?://(?:www\\.)?youtube\\.com/watch\\?v=[\\w-]+|https?://(?:www\\.)?youtu\\.be/[\\w-]+)')\n", - " data = []\n", - " current_main_category = None\n", - " current_job = None\n", - " jobs = {}\n", - "\n", - " for line, highlight_color in lines:\n", - " youtube_match = youtube_pattern.search(line)\n", - " if youtube_match:\n", - " # Extract the YouTube URL\n", - " youtube_url = youtube_match.group()\n", - " video_id = re.search(r'(?:v=|youtu\\.be/)([\\w-]+)', youtube_url).group(1)\n", - " \n", - " # Store the video ID instead of the iframe HTML\n", - " if current_job and current_job in jobs:\n", - " jobs[current_job]['videos'].append({\n", - " 'video_id': video_id, # Store only the video ID\n", - " 'url': youtube_url # Optionally store the original URL\n", - " })\n", - " elif url_pattern.search(line):\n", - " # Extract the URL\n", - " url_match = url_pattern.search(line)\n", - " url = url_match.group()\n", - " \n", - " # Extract the category (everything before the URL)\n", - " category = line[:url_match.start()].strip()\n", - "\n", - " if current_job and current_job in jobs:\n", - " jobs[current_job]['links'].append({\n", - " 'url': url,\n", - " 'category': category\n", - " })\n", - " elif line.lower().startswith(\"undefined\"):\n", - " # Skip lines starting with \"undefined\"\n", - " continue\n", - " else:\n", - " if current_main_category is None:\n", - " # Set the main category\n", - " current_main_category = line\n", - " elif current_job is None:\n", - " # Set the job title (sub_category)\n", - " current_job = line\n", - " jobs[current_job] = {\n", - " 'links': [],\n", - " 'videos': [],\n", - " 'degree_required': \"Bachelor's\" if highlight_color == 'cyan' else \"Graduate's\" if highlight_color == 'green' else ''\n", - " }\n", - " else:\n", - " # Handle a new main category if a new line appears\n", - " if line.strip() == \"\":\n", - " if current_main_category:\n", - " # Save the current main category and its jobs\n", - " data.append({\n", - " 'main_category': current_main_category,\n", - " 'jobs': jobs\n", - " })\n", - " # Reset for the next main category\n", - " current_main_category = None\n", - " jobs = {}\n", - " current_job = None\n", - " else:\n", - " # If it's neither a URL nor an empty line, it might be a new job\n", - " if current_job:\n", - " # Make sure to add the current job to jobs before changing\n", - " current_job = line\n", - " jobs[current_job] = {\n", - " 'links': [],\n", - " 'videos': [],\n", - " 'degree_required': \"Bachelor's\" if highlight_color == 'cyan' else \"Graduate's\" if highlight_color == 'green' else ''\n", - " }\n", - "\n", - " # Handle the last main category and jobs if they exist\n", - " if current_main_category and jobs:\n", - " data.append({\n", - " 'main_category': current_main_category,\n", - " 'jobs': jobs\n", - " })\n", - "\n", - " return data\n", - "\n", - "# Function to scrape the Quick Facts table and generate the HTML\n", - "def scrape_quick_facts(url):\n", - " # Set up the Edge WebDriver\n", - " options = webdriver.EdgeOptions()\n", - " # Do not use the headless option to see the browser window\n", - " # options.add_argument('--headless') # Do not use this line\n", - "\n", - " # Initialize the Edge WebDriver\n", - " driver = webdriver.Edge(service=Service(EdgeChromiumDriverManager().install()), options=options)\n", - "\n", - " # Open the URL\n", - " driver.get(url)\n", - "\n", - " # Allow time for the page to load\n", - " time.sleep(5) # Increase if necessary to allow the page to fully load\n", - "\n", - " # Try to find the Quick Facts table\n", - " try:\n", - " # Locate the Quick Facts table by its ID\n", - " quickfacts_table = driver.find_element(By.ID, 'quickfacts')\n", - " \n", - " # Get the outer HTML of the table\n", - " quickfacts_html = quickfacts_table.get_attribute('outerHTML')\n", - " \n", - " # Parse the HTML using BeautifulSoup\n", - " soup = BeautifulSoup(quickfacts_html, 'html.parser')\n", - " \n", - " # Remove all links\n", - " for link in soup.find_all('a'):\n", - " link.unwrap() # Remove the link but keep the text\n", - " \n", - " # Remove specific rows\n", - " rows_to_remove = [\"Work Experience in a Related Occupation\", \"On-the-job Training\"]\n", - " for row in soup.find_all('tr'):\n", - " header = row.find('th')\n", - " if header and header.get_text(strip=True) in rows_to_remove:\n", - " row.decompose() # Remove the row entirely\n", - " \n", - " # Modify the first row to have a single cell that spans all columns\n", - " first_row = soup.find('tr')\n", - " first_cell = soup.new_tag('th')\n", - " first_cell['colspan'] = '2' # Set to span all columns\n", - " first_cell.string = 'Quick Facts: Real Estate Brokers and Sales Agents' # Change this to your desired title\n", - " first_row.clear() # Clear existing cells in the first row\n", - " first_row.append(first_cell) # Add the new cell\n", - " \n", - " # Add the source link at the bottom of the table\n", - " source_row = soup.new_tag('tr')\n", - " source_header = soup.new_tag('th')\n", - " source_header['colspan'] = '2' # Span across two columns\n", - " source_header.string = 'Source: '\n", - " \n", - " # Create the source link\n", - " source_link = soup.new_tag('a', href=url)\n", - " source_link.string = 'www.bls.gov'\n", - " source_header.append(source_link)\n", - " \n", - " source_row.append(source_header)\n", - " soup.find('tbody').append(source_row) # Add the source row to the table\n", - "\n", - " # Get the updated HTML without links and excluded rows\n", - " updated_quickfacts_html = str(soup)\n", - "\n", - " # Save the complete HTML to a file\n", - " with open(\"job tables.html\", \"w\", encoding=\"utf-8\") as file:\n", - " file.write(updated_quickfacts_html)\n", - "\n", - " print(\"Quick Facts table with source link has been successfully saved to 'job tables.html'\")\n", - "\n", - " return updated_quickfacts_html # Return the HTML for further processing\n", - "\n", - " except Exception as e:\n", - " print(\"Error: Unable to find the Quick Facts table. Exception:\", e)\n", - " finally:\n", - " # Close the WebDriver after you're done\n", - " driver.quit() # Close the browser\n", - "\n", - "def main(file_path, start_line, end_line, output_file, url):\n", - " lines = read_docx(file_path, start_line, end_line)\n", - " job_data = parse_lines(lines) # Parse the job data from the Word document\n", - " html_table = scrape_quick_facts(url) # Scrape the HTML table\n", - "\n", - " # Combine the job data with the HTML table\n", - " combined_data = {\n", - " \"jobs\": job_data,\n", - " \"jobs_table\": html_table\n", - " }\n", - "\n", - " # Save the combined data to a JSON file\n", - " with open(output_file, 'w') as f:\n", - " json.dump(combined_data, f, indent=4)\n", - "\n", - "# Specify the file path and line range\n", - "file_path = 'careers.docx'\n", - "start_line = 171 # Starting line (inclusive)\n", - "end_line = start_line + 3000 # Adjust the ending line as needed\n", - "output_file = 'jobs.json'\n", - "url = \"https://www.bls.gov/ooh/sales/real-estate-brokers-and-sales-agents.htm#tab-1\"\n", - "\n", - "main(file_path, start_line, end_line, output_file, url)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[1], line 220\u001b[0m\n\u001b[0;32m 217\u001b[0m end_line \u001b[38;5;241m=\u001b[39m start_line \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m3000\u001b[39m \u001b[38;5;66;03m# Adjust the ending line as needed\u001b[39;00m\n\u001b[0;32m 218\u001b[0m output_file \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mjobs.json\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m--> 220\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstart_line\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend_line\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moutput_file\u001b[49m\u001b[43m)\u001b[49m\n", - "Cell \u001b[1;32mIn[1], line 205\u001b[0m, in \u001b[0;36mmain\u001b[1;34m(file_path, start_line, end_line, output_file)\u001b[0m\n\u001b[0;32m 202\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bls_links:\n\u001b[0;32m 203\u001b[0m \u001b[38;5;66;03m# Scrape the Quick Facts table for this job\u001b[39;00m\n\u001b[0;32m 204\u001b[0m url \u001b[38;5;241m=\u001b[39m bls_links[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;66;03m# Use the first bls.gov link found\u001b[39;00m\n\u001b[1;32m--> 205\u001b[0m html_table \u001b[38;5;241m=\u001b[39m \u001b[43mscrape_quick_facts\u001b[49m\u001b[43m(\u001b[49m\u001b[43murl\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# Scrape the HTML table\u001b[39;00m\n\u001b[0;32m 206\u001b[0m job_info[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mjobs_table\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m html_table \u001b[38;5;66;03m# Add the HTML table to the job info\u001b[39;00m\n\u001b[0;32m 208\u001b[0m combined_data\u001b[38;5;241m.\u001b[39mappend(job_category) \u001b[38;5;66;03m# Add the job category with all jobs to combined data\u001b[39;00m\n", - "Cell \u001b[1;32mIn[1], line 134\u001b[0m, in \u001b[0;36mscrape_quick_facts\u001b[1;34m(url)\u001b[0m\n\u001b[0;32m 131\u001b[0m driver\u001b[38;5;241m.\u001b[39mget(url)\n\u001b[0;32m 133\u001b[0m \u001b[38;5;66;03m# Allow time for the page to load\u001b[39;00m\n\u001b[1;32m--> 134\u001b[0m \u001b[43mtime\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msleep\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# Increase if necessary to allow the page to fully load\u001b[39;00m\n\u001b[0;32m 136\u001b[0m \u001b[38;5;66;03m# Try to find the Quick Facts table\u001b[39;00m\n\u001b[0;32m 137\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 138\u001b[0m \u001b[38;5;66;03m# Locate the Quick Facts table by its ID\u001b[39;00m\n", - "\u001b[1;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], - "source": [ - "import re\n", - "import json\n", - "from docx import Document\n", - "from docx.oxml.ns import qn\n", - "from selenium import webdriver\n", - "from selenium.webdriver.edge.service import Service\n", - "from selenium.webdriver.common.by import By\n", - "from webdriver_manager.microsoft import EdgeChromiumDriverManager\n", - "from bs4 import BeautifulSoup\n", - "import time\n", - "\n", - "# Function to check if run is highlighted and get the highlight color\n", - "def get_highlight_color(run):\n", - " highlight_elements = run.element.xpath('.//w:highlight')\n", - " if highlight_elements:\n", - " highlight_element = highlight_elements[0]\n", - " color = highlight_element.get(qn('w:val'))\n", - " return color\n", - " return None\n", - "\n", - "def read_docx(file_path, start_line, end_line):\n", - " doc = Document(file_path)\n", - " lines = []\n", - " line_count = 0\n", - " for paragraph in doc.paragraphs:\n", - " if start_line <= line_count < end_line:\n", - " para_text = paragraph.text.strip()\n", - " highlight_color = None\n", - " for run in paragraph.runs:\n", - " color = get_highlight_color(run)\n", - " if color:\n", - " highlight_color = color # Capture the first highlighted color in the paragraph\n", - " break\n", - " lines.append((para_text, highlight_color)) # Store line and highlight color as a tuple\n", - " line_count += 1\n", - " return lines\n", - "\n", - "def parse_lines(lines):\n", - " url_pattern = re.compile(r'https?://\\S+')\n", - " youtube_pattern = re.compile(r'(https?://(?:www\\.)?youtube\\.com/watch\\?v=[\\w-]+|https?://(?:www\\.)?youtu\\.be/[\\w-]+)')\n", - " data = []\n", - " current_main_category = None\n", - " current_job = None\n", - " jobs = {}\n", - "\n", - " for line, highlight_color in lines:\n", - " youtube_match = youtube_pattern.search(line)\n", - " if youtube_match:\n", - " # Extract the YouTube URL\n", - " youtube_url = youtube_match.group()\n", - " video_id = re.search(r'(?:v=|youtu\\.be/)([\\w-]+)', youtube_url).group(1)\n", - " \n", - " # Store the video ID instead of the iframe HTML\n", - " if current_job and current_job in jobs:\n", - " jobs[current_job]['videos'].append({\n", - " 'video_id': video_id, # Store only the video ID\n", - " 'url': youtube_url # Optionally store the original URL\n", - " })\n", - " elif url_pattern.search(line):\n", - " # Extract the URL\n", - " url_match = url_pattern.search(line)\n", - " url = url_match.group()\n", - " \n", - " # Extract the category (everything before the URL)\n", - " category = line[:url_match.start()].strip()\n", - "\n", - " if current_job and current_job in jobs:\n", - " jobs[current_job]['links'].append({\n", - " 'url': url,\n", - " 'category': category\n", - " })\n", - " elif line.lower().startswith(\"undefined\"):\n", - " # Skip lines starting with \"undefined\"\n", - " continue\n", - " else:\n", - " if current_main_category is None:\n", - " # Set the main category\n", - " current_main_category = line\n", - " elif current_job is None:\n", - " # Set the job title (sub_category)\n", - " current_job = line\n", - " jobs[current_job] = {\n", - " 'links': [],\n", - " 'videos': [],\n", - " 'degree_required': \"Bachelor's\" if highlight_color == 'cyan' else \"Graduate's\" if highlight_color == 'green' else ''\n", - " }\n", - " else:\n", - " # Handle a new main category if a new line appears\n", - " if line.strip() == \"\":\n", - " if current_main_category:\n", - " # Save the current main category and its jobs\n", - " data.append({\n", - " 'main_category': current_main_category,\n", - " 'jobs': jobs\n", - " })\n", - " # Reset for the next main category\n", - " current_main_category = None\n", - " jobs = {}\n", - " current_job = None\n", - " else:\n", - " # If it's neither a URL nor an empty line, it might be a new job\n", - " if current_job:\n", - " # Make sure to add the current job to jobs before changing\n", - " current_job = line\n", - " jobs[current_job] = {\n", - " 'links': [],\n", - " 'videos': [],\n", - " 'degree_required': \"Bachelor's\" if highlight_color == 'cyan' else \"Graduate's\" if highlight_color == 'green' else ''\n", - " }\n", - "\n", - " # Handle the last main category and jobs if they exist\n", - " if current_main_category and jobs:\n", - " data.append({\n", - " 'main_category': current_main_category,\n", - " 'jobs': jobs\n", - " })\n", - "\n", - " return data\n", - "\n", - "# Function to scrape the Quick Facts table and generate the HTML\n", - "def scrape_quick_facts(url):\n", - " # Set up the Edge WebDriver\n", - " options = webdriver.EdgeOptions()\n", - " # Do not use the headless option to see the browser window\n", - " # options.add_argument('--headless') # Do not use this line\n", - "\n", - " # Initialize the Edge WebDriver\n", - " driver = webdriver.Edge(service=Service(EdgeChromiumDriverManager().install()), options=options)\n", - "\n", - " # Open the URL\n", - " driver.get(url)\n", - "\n", - " # Allow time for the page to load\n", - " time.sleep(5) # Increase if necessary to allow the page to fully load\n", - "\n", - " # Try to find the Quick Facts table\n", - " try:\n", - " # Locate the Quick Facts table by its ID\n", - " quickfacts_table = driver.find_element(By.ID, 'quickfacts')\n", - " \n", - " # Get the outer HTML of the table\n", - " quickfacts_html = quickfacts_table.get_attribute('outerHTML')\n", - " \n", - " # Parse the HTML using BeautifulSoup\n", - " soup = BeautifulSoup(quickfacts_html, 'html.parser')\n", - " \n", - " # Remove all links\n", - " for link in soup.find_all('a'):\n", - " link.unwrap() # Remove the link but keep the text\n", - " \n", - " # Remove specific rows\n", - " rows_to_remove = [\"Work Experience in a Related Occupation\", \"On-the-job Training\"]\n", - " for row in soup.find_all('tr'):\n", - " header = row.find('th')\n", - " if header and header.get_text(strip=True) in rows_to_remove:\n", - " row.decompose() # Remove the row entirely\n", - " \n", - " # Modify the first row to have a single cell that spans all columns\n", - " first_row = soup.find('tr')\n", - " first_cell = soup.new_tag('th')\n", - " first_cell['colspan'] = '2' # Set to span all columns\n", - " first_cell.string = 'Quick Facts Table' # Change this to your desired title\n", - " first_row.clear() # Clear existing cells in the first row\n", - " first_row.append(first_cell) # Add the new cell\n", - " \n", - " # Add the source link at the bottom of the table\n", - " source_row = soup.new_tag('tr')\n", - " source_header = soup.new_tag('th')\n", - " source_header['colspan'] = '2' # Span across two columns\n", - " source_header.string = 'Source: '\n", - " \n", - " # Create the source link\n", - " source_link = soup.new_tag('a', href=url)\n", - " source_link.string = 'www.bls.gov'\n", - " source_header.append(source_link)\n", - " \n", - " source_row.append(source_header)\n", - " soup.find('tbody').append(source_row) # Add the source row to the table\n", - "\n", - " # Get the updated HTML without links and excluded rows\n", - " updated_quickfacts_html = str(soup)\n", - "\n", - " return updated_quickfacts_html # Return the HTML for further processing\n", - "\n", - " except Exception as e:\n", - " print(\"Error: Unable to find the Quick Facts table. Exception:\", e)\n", - " finally:\n", - " # Close the WebDriver after you're done\n", - " driver.quit() # Close the browser\n", - "\n", - "def main(file_path, start_line, end_line, output_file):\n", - " lines = read_docx(file_path, start_line, end_line)\n", - " job_data = parse_lines(lines) # Parse the job data from the Word document\n", - " combined_data = []\n", - "\n", - " # Loop through each job entry\n", - " for job_category in job_data:\n", - " jobs = job_category['jobs']\n", - " for job_title, job_info in jobs.items():\n", - " # Check if any of the job links is from bls.gov\n", - " bls_links = [link['url'] for link in job_info['links'] if 'bls.gov' in link['url']]\n", - " if bls_links:\n", - " # Scrape the Quick Facts table for this job\n", - " url = bls_links[0] # Use the first bls.gov link found\n", - " html_table = scrape_quick_facts(url) # Scrape the HTML table\n", - " job_info['jobs_table'] = html_table # Add the HTML table to the job info\n", - "\n", - " combined_data.append(job_category) # Add the job category with all jobs to combined data\n", - "\n", - " # Save the combined data to a JSON file\n", - " with open(output_file, 'w') as f:\n", - " json.dump(combined_data, f, indent=4)\n", - "\n", - "# Specify the file path and line range\n", - "file_path = 'careers.docx'\n", - "start_line = 171 # Starting line (inclusive)\n", - "end_line = start_line + 3000 # Adjust the ending line as needed\n", - "output_file = 'jobs.json'\n", - "\n", - "main(file_path, start_line, end_line, output_file)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Processing job: Advertising Sales Representative / Agent / Executive in category: Business, Advertising, and Finance\n" - ] - }, - { - "ename": "OSError", - "evalue": "[Errno 22] Invalid argument: 'jobs.json'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mOSError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[1], line 216\u001b[0m\n\u001b[0;32m 213\u001b[0m end_line \u001b[38;5;241m=\u001b[39m start_line \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m3000\u001b[39m \u001b[38;5;66;03m# Adjust the ending line as needed\u001b[39;00m\n\u001b[0;32m 214\u001b[0m output_file \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mjobs.json\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m--> 216\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstart_line\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend_line\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moutput_file\u001b[49m\u001b[43m)\u001b[49m\n", - "Cell \u001b[1;32mIn[1], line 204\u001b[0m, in \u001b[0;36mmain\u001b[1;34m(file_path, start_line, end_line, output_file)\u001b[0m\n\u001b[0;32m 201\u001b[0m combined_data\u001b[38;5;241m.\u001b[39mappend(job_category) \u001b[38;5;66;03m# Add the job category with all jobs to combined data\u001b[39;00m\n\u001b[0;32m 203\u001b[0m \u001b[38;5;66;03m# Save the combined data to a JSON file incrementally\u001b[39;00m\n\u001b[1;32m--> 204\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43moutput_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mw\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m 205\u001b[0m json\u001b[38;5;241m.\u001b[39mdump(combined_data, f, indent\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m4\u001b[39m)\n\u001b[0;32m 206\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mProgress saved: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(combined_data)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m job categories processed.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python313\\site-packages\\IPython\\core\\interactiveshell.py:324\u001b[0m, in \u001b[0;36m_modified_open\u001b[1;34m(file, *args, **kwargs)\u001b[0m\n\u001b[0;32m 317\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[0;32m 318\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m 319\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 320\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 321\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 322\u001b[0m )\n\u001b[1;32m--> 324\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "\u001b[1;31mOSError\u001b[0m: [Errno 22] Invalid argument: 'jobs.json'" - ] - } - ], - "source": [ - "import re\n", - "import json\n", - "from docx import Document\n", - "from docx.oxml.ns import qn\n", - "from selenium import webdriver\n", - "from selenium.webdriver.edge.service import Service\n", - "from selenium.webdriver.common.by import By\n", - "from webdriver_manager.microsoft import EdgeChromiumDriverManager\n", - "from bs4 import BeautifulSoup\n", - "import time\n", - "\n", - "# Function to check if run is highlighted and get the highlight color\n", - "def get_highlight_color(run):\n", - " highlight_elements = run.element.xpath('.//w:highlight')\n", - " if highlight_elements:\n", - " highlight_element = highlight_elements[0]\n", - " color = highlight_element.get(qn('w:val'))\n", - " return color\n", - " return None\n", - "\n", - "def read_docx(file_path, start_line, end_line):\n", - " doc = Document(file_path)\n", - " lines = []\n", - " line_count = 0\n", - " for paragraph in doc.paragraphs:\n", - " if start_line <= line_count < end_line:\n", - " para_text = paragraph.text.strip()\n", - " highlight_color = None\n", - " for run in paragraph.runs:\n", - " color = get_highlight_color(run)\n", - " if color:\n", - " highlight_color = color # Capture the first highlighted color in the paragraph\n", - " break\n", - " lines.append((para_text, highlight_color)) # Store line and highlight color as a tuple\n", - " line_count += 1\n", - " return lines\n", - "\n", - "def parse_lines(lines):\n", - " url_pattern = re.compile(r'https?://\\S+')\n", - " youtube_pattern = re.compile(r'(https?://(?:www\\.)?youtube\\.com/watch\\?v=[\\w-]+|https?://(?:www\\.)?youtu\\.be/[\\w-]+)')\n", - " data = []\n", - " current_main_category = None\n", - " current_job = None\n", - " jobs = {}\n", - "\n", - " for line, highlight_color in lines:\n", - " youtube_match = youtube_pattern.search(line)\n", - " if youtube_match:\n", - " # Extract the YouTube URL\n", - " youtube_url = youtube_match.group()\n", - " video_id = re.search(r'(?:v=|youtu\\.be/)([\\w-]+)', youtube_url).group(1)\n", - " \n", - " # Store the video ID instead of the iframe HTML\n", - " if current_job and current_job in jobs:\n", - " jobs[current_job]['videos'].append({\n", - " 'video_id': video_id, # Store only the video ID\n", - " 'url': youtube_url # Optionally store the original URL\n", - " })\n", - " elif url_pattern.search(line):\n", - " # Extract the URL\n", - " url_match = url_pattern.search(line)\n", - " url = url_match.group()\n", - " \n", - " # Extract the category (everything before the URL)\n", - " category = line[:url_match.start()].strip()\n", - "\n", - " if current_job and current_job in jobs:\n", - " jobs[current_job]['links'].append({\n", - " 'url': url,\n", - " 'category': category\n", - " })\n", - " elif line.lower().startswith(\"undefined\"):\n", - " # Skip lines starting with \"undefined\"\n", - " continue\n", - " else:\n", - " if current_main_category is None:\n", - " # Set the main category\n", - " current_main_category = line\n", - " elif current_job is None:\n", - " # Set the job title (sub_category)\n", - " current_job = line\n", - " jobs[current_job] = {\n", - " 'links': [],\n", - " 'videos': [],\n", - " 'degree_required': \"Bachelor's\" if highlight_color == 'cyan' else \"Graduate's\" if highlight_color == 'green' else ''\n", - " }\n", - " else:\n", - " # Handle a new main category if a new line appears\n", - " if line.strip() == \"\":\n", - " if current_main_category:\n", - " # Save the current main category and its jobs\n", - " data.append({\n", - " 'main_category': current_main_category,\n", - " 'jobs': jobs\n", - " })\n", - " # Reset for the next main category\n", - " current_main_category = None\n", - " jobs = {}\n", - " current_job = None\n", - " else:\n", - " # If it's neither a URL nor an empty line, it might be a new job\n", - " if current_job:\n", - " # Make sure to add the current job to jobs before changing\n", - " current_job = line\n", - " jobs[current_job] = {\n", - " 'links': [],\n", - " 'videos': [],\n", - " 'degree_required': \"Bachelor's\" if highlight_color == 'cyan' else \"Graduate's\" if highlight_color == 'green' else ''\n", - " }\n", - "\n", - " # Handle the last main category and jobs if they exist\n", - " if current_main_category and jobs:\n", - " data.append({\n", - " 'main_category': current_main_category,\n", - " 'jobs': jobs\n", - " })\n", - "\n", - " return data\n", - "\n", - "# Function to scrape the Quick Facts table and generate the HTML\n", - "def scrape_quick_facts(driver, url):\n", - " driver.get(url) # Open the URL\n", - " time.sleep(5) # Allow time for the page to load\n", - "\n", - " try:\n", - " # Locate the Quick Facts table by its ID\n", - " quickfacts_table = driver.find_element(By.ID, 'quickfacts')\n", - " \n", - " # Get the outer HTML of the table\n", - " quickfacts_html = quickfacts_table.get_attribute('outerHTML')\n", - " \n", - " # Parse the HTML using BeautifulSoup\n", - " soup = BeautifulSoup(quickfacts_html, 'html.parser')\n", - " \n", - " # Remove all links\n", - " for link in soup.find_all('a'):\n", - " link.unwrap() # Remove the link but keep the text\n", - " \n", - " # Remove specific rows\n", - " rows_to_remove = [\"Work Experience in a Related Occupation\", \"On-the-job Training\"]\n", - " for row in soup.find_all('tr'):\n", - " header = row.find('th')\n", - " if header and header.get_text(strip=True) in rows_to_remove:\n", - " row.decompose() # Remove the row entirely\n", - " \n", - " # Modify the first row to have a single cell that spans all columns\n", - " first_row = soup.find('tr')\n", - " first_cell = soup.new_tag('th')\n", - " first_cell['colspan'] = '2' # Set to span all columns\n", - " first_cell.string = 'Quick Facts Table' # Change this to your desired title\n", - " first_row.clear() # Clear existing cells in the first row\n", - " first_row.append(first_cell) # Add the new cell\n", - " \n", - " # Add the source link at the bottom of the table\n", - " source_row = soup.new_tag('tr')\n", - " source_header = soup.new_tag('th')\n", - " source_header['colspan'] = '2' # Span across two columns\n", - " source_header.string = 'Source: '\n", - " \n", - " # Create the source link\n", - " source_link = soup.new_tag('a', href=url)\n", - " source_link.string = 'www.bls.gov'\n", - " source_header.append(source_link)\n", - " \n", - " source_row.append(source_header)\n", - " soup.find('tbody').append(source_row) # Add the source row to the table\n", - "\n", - " # Get the updated HTML without links and excluded rows\n", - " updated_quickfacts_html = str(soup)\n", - "\n", - " return updated_quickfacts_html # Return the HTML for further processing\n", - "\n", - " except Exception as e:\n", - " print(\"Error: Unable to find the Quick Facts table. Exception:\", e)\n", - " return None\n", - "\n", - "def main(file_path, start_line, end_line, output_file):\n", - " lines = read_docx(file_path, start_line, end_line)\n", - " job_data = parse_lines(lines) # Parse the job data from the Word document\n", - " combined_data = []\n", - "\n", - " # Set up the Edge WebDriver\n", - " options = webdriver.EdgeOptions()\n", - " driver = webdriver.Edge(service=Service(EdgeChromiumDriverManager().install()), options=options)\n", - "\n", - " # Loop through each job entry\n", - " for job_category in job_data:\n", - " jobs = job_category['jobs']\n", - " for job_title, job_info in jobs.items():\n", - " print(f\"Processing job: {job_title} in category: {job_category['main_category']}\")\n", - " \n", - " # Check if any of the job links is from bls.gov\n", - " bls_links = [link['url'] for link in job_info['links'] if 'bls.gov' in link['url']]\n", - " if bls_links:\n", - " # Scrape the Quick Facts table for this job\n", - " url = bls_links[0] # Use the first bls.gov link found\n", - " html_table = scrape_quick_facts(driver, url) # Scrape the HTML table\n", - " if html_table:\n", - " job_info['jobs_table'] = html_table # Add the HTML table to the job info\n", - "\n", - " combined_data.append(job_category) # Add the job category with all jobs to combined data\n", - " \n", - " # Save the combined data to a JSON file incrementally\n", - " with open(output_file, 'w') as f:\n", - " json.dump(combined_data, f, indent=4)\n", - " print(f\"Progress saved: {len(combined_data)} job categories processed.\")\n", - "\n", - " driver.quit() # Close the browser\n", - "\n", - "# Specify the file path and line range\n", - "file_path = 'careers.docx'\n", - "start_line = 171 # Starting line (inclusive)\n", - "end_line = start_line + 3000 # Adjust the ending line as needed\n", - "output_file = 'jobs.json'\n", - "\n", - "main(file_path, start_line, end_line, output_file)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Processing job: Advertising Sales Representative / Agent / Executive in category: Business, Advertising, and Finance\n", - "Progress saved: 1 job categories processed.\n", - "Processing job: Child Development Specialist in category: Children and Families\n", + "\n", + "HTML content of the page:\n", + "\n", + "\n", + "\n", + "Marriage and Family Therapists\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + " \n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + " \n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\t\n", + " \n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
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An official website of the United States government \n", + "\t \n", + "\t\n", + "\t

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The\n", + "\t\t\thttps:// ensures that you are connecting to the official website and that any\n", + "\t\t\tinformation you provide is encrypted and transmitted securely.\n", + "\t\t

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Follow Us | Release Calendar | Blog
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Occupational Employment and Wage Statistics
SHARE ON:\"share\"share\"share
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Occupational Employment and Wages, May 2023

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21-1013 Marriage and Family Therapists

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Diagnose and treat mental and emotional disorders, whether cognitive, affective, or behavioral, within the context of marriage and family systems. Apply psychotherapeutic and family systems theories and techniques in the delivery of services to individuals, couples, and families for the purpose of treating such diagnosed nervous and mental disorders. Excludes “Psychologists” (19-3032 through 19-3039) and “Social Workers” (21-1020).

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\n", + "National estimates for Marriage and Family Therapists
\n", + "Industry profile for Marriage and Family Therapists
\n", + "Geographic profile for Marriage and Family Therapists
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National estimates for Marriage and Family Therapists:

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Employment estimate and mean wage estimates for Marriage and Family Therapists:

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Employment (1) Employment
RSE (3) 		Mean hourly
wage		Mean annual
wage (2) 		Wage RSE (3)
63,340 2.8 %$ 33.04$ 68,730 2.9 %
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Percentile wage estimates for Marriage and Family Therapists:

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Percentile 10% 25% 50%
(Median) 		75% 90%
Hourly Wage $ 18.79$ 21.75$ 28.13$ 37.71$ 50.34
Annual Wage (2) $ 39,090$ 45,250$ 58,510$ 78,440$ 104,710
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Industry profile for Marriage and Family Therapists:

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Industries with the highest published employment and wages for Marriage and Family Therapists are provided.\n", + "For a list of all industries with employment in Marriage and Family Therapists, see the Create Customized Tables function.

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Industries with the highest levels of employment in Marriage and Family Therapists:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Offices of Other Health Practitioners 20,920 1.83$ 32.32$ 67,230
Individual and Family Services 20,370 0.68$ 32.29$ 67,150
Outpatient Care Centers 9,540 0.90$ 32.50$ 67,600
State Government, excluding Schools and Hospitals (OEWS Designation) 3,940 0.19$ 40.76$ 84,770
Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse Facilities 1,970 0.32$ 30.67$ 63,790
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Industries with the highest concentration of employment in Marriage and Family Therapists:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Offices of Other Health Practitioners 20,920 1.83$ 32.32$ 67,230
Outpatient Care Centers 9,540 0.90$ 32.50$ 67,600
Individual and Family Services 20,370 0.68$ 32.29$ 67,150
Other Residential Care Facilities 960 0.62$ 24.23$ 50,400
Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse Facilities 1,970 0.32$ 30.67$ 63,790
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Top paying industries for Marriage and Family Therapists:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Home Health Care Services 60(7) $ 58.71$ 122,120
Elementary and Secondary Schools 330(7) $ 42.79$ 89,000
State Government, excluding Schools and Hospitals (OEWS Designation) 3,940 0.19$ 40.76$ 84,770
Religious Organizations 140 0.07$ 39.23$ 81,600
Local Government, excluding Schools and Hospitals (OEWS Designation) 680 0.01$ 38.91$ 80,930
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Geographic profile for Marriage and Family Therapists:

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States and areas with the highest published employment, location quotients, and wages for Marriage and Family Therapists are provided.\n", + "For a list of all areas with employment in Marriage and Family Therapists, see the Create Customized Tables function.

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\n", + "\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Vermont\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Pennsylvania\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nevada\n",\n", + "\"Nebraska\n",\n", + "\"Missouri\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Louisiana\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"Florida\n",\n", + "\"Delaware\n",\n", + "\"Connecticut\n",\n", + "\"Colorado\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alaska\n",\n", + "\"Alabama\n",\n", + "\n", + "
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States with the highest employment level in Marriage and Family Therapists:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 30,890 1.72 4.13$ 33.55$ 69,780
Minnesota 4,230 1.47 3.52$ 33.19$ 69,030
New Jersey 3,900 0.93 2.23$ 44.29$ 92,120
Pennsylvania 2,640 0.44 1.06$ 31.32$ 65,150
Tennessee 2,130 0.66 1.59$ 21.34$ 44,380
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\n", + "\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Vermont\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Pennsylvania\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nevada\n",\n", + "\"Nebraska\n",\n", + "\"Missouri\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Louisiana\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"Florida\n",\n", + "\"Delaware\n",\n", + "\"Connecticut\n",\n", + "\"Colorado\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alaska\n",\n", + "\"Alabama\n",\n", + "\n", + "
\n", + "\"Location\n", + "
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States with the highest concentration of jobs and location quotients in Marriage and Family Therapists:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 30,890 1.72 4.13$ 33.55$ 69,780
Minnesota 4,230 1.47 3.52$ 33.19$ 69,030
Utah 1,600 0.96 2.29$ 40.38$ 83,980
New Jersey 3,900 0.93 2.23$ 44.29$ 92,120
Oklahoma 1,530 0.92 2.21$ 26.54$ 55,210
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\n", + "\n", + "
\n", + "\n", + "\"Wisconsin\n",\n", + "\"Wisconsin\n",\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Vermont\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Pennsylvania\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nebraska\n",\n", + "\"Missouri\n",\n", + "\"Mississippi\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Louisiana\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"Florida\n",\n", + "\"Delaware\n",\n", + "\"Connecticut\n",\n", + "\"Colorado\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alaska\n",\n", + "\"Alabama\n",\n", + "\n", + "
\n", + "\"Annual\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Top paying states for Marriage and Family Therapists:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New Jersey 3,900 0.93 2.23$ 44.29$ 92,120
Maryland 540 0.20 0.49$ 41.87$ 87,090
Utah 1,600 0.96 2.29$ 40.38$ 83,980
Virginia 960 0.24 0.58$ 36.77$ 76,480
Alaska 60 0.19 0.44$ 35.78$ 74,420
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\n", + "\"Employment\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Metropolitan areas with the highest employment level in Marriage and Family Therapists:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Los Angeles-Long Beach-Anaheim, CA 10,920 1.77 4.23$ 30.49$ 63,420
San Diego-Carlsbad, CA 4,710 3.09 7.41$ 30.28$ 62,980
San Francisco-Oakland-Hayward, CA 3,740 1.54 3.70$ 44.41$ 92,370
New York-Newark-Jersey City, NY-NJ-PA 3,120 0.33 0.79$ 38.94$ 80,990
Minneapolis-St. Paul-Bloomington, MN-WI 2,770 1.45 3.48$ 32.68$ 67,970
Riverside-San Bernardino-Ontario, CA 2,510 1.51 3.63$ 28.42$ 59,120
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 2,320 0.82 1.97$ 38.82$ 80,740
Sacramento--Roseville--Arden-Arcade, CA 1,430 1.36 3.26$ 38.98$ 81,080
Oxnard-Thousand Oaks-Ventura, CA 1,250 3.96 9.48$ 27.80$ 57,820
San Jose-Sunnyvale-Santa Clara, CA 1,220 1.07 2.57$ 41.69$ 86,710
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\n", + "\"Location\n", + "
\n", + "
\n", + "
\n", + "
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Metropolitan areas with the highest concentration of jobs and location quotients in Marriage and Family Therapists:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Oxnard-Thousand Oaks-Ventura, CA 1,250 3.96 9.48$ 27.80$ 57,820
Mankato-North Mankato, MN 200 3.56 8.53$ 34.47$ 71,700
San Diego-Carlsbad, CA 4,710 3.09 7.41$ 30.28$ 62,980
Redding, CA 160 2.37 5.68$ 38.72$ 80,530
Rochester, MN 270 2.26 5.42$ 35.56$ 73,960
St. George, UT 170 1.99 4.77$ 35.69$ 74,230
Los Angeles-Long Beach-Anaheim, CA 10,920 1.77 4.23$ 30.49$ 63,420
Johnson City, TN 140 1.74 4.18$ 21.32$ 44,350
Fresno, CA 670 1.64 3.93$ 31.99$ 66,530
San Luis Obispo-Paso Robles-Arroyo Grande, CA 190 1.61 3.86$ 36.37$ 75,650
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Top paying metropolitan areas for Marriage and Family Therapists:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Bend-Redmond, OR 80 0.91 2.19$ 57.68$ 119,970
Salem, OR 30 0.18 0.43$ 54.00$ 112,310
Vallejo-Fairfield, CA 160 1.19 2.85$ 52.47$ 109,130
Portland-Vancouver-Hillsboro, OR-WA (8) (8) (8) $ 51.67$ 107,480
Baltimore-Columbia-Towson, MD 240 0.18 0.44$ 47.37$ 98,520
New Haven, CT 50 0.18 0.42$ 45.51$ 94,650
Charlottesville, VA 40 0.35 0.85$ 45.15$ 93,900
Provo-Orem, UT 420 1.42 3.41$ 44.60$ 92,770
Trenton, NJ 310 1.29 3.08$ 44.44$ 92,430
San Francisco-Oakland-Hayward, CA 3,740 1.54 3.70$ 44.41$ 92,370
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Nonmetropolitan areas with the highest employment in Marriage and Family Therapists:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Southeast Minnesota nonmetropolitan area 200 1.31 3.14$ 33.93$ 70,580
Northwest Minnesota nonmetropolitan area 180 0.95 2.27$ 37.71$ 78,440
Southwest Minnesota nonmetropolitan area 140 1.19 2.85$ 34.53$ 71,820
Northeast Oklahoma nonmetropolitan area 140 1.17 2.79$ 22.44$ 46,670
South Central Tennessee nonmetropolitan area 130 1.21 2.90$ 16.49$ 34,300
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Nonmetropolitan areas with the highest concentration of jobs and location quotients in Marriage and Family Therapists:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Northeast Minnesota nonmetropolitan area 90 2.10 5.03$ 34.07$ 70,870
Southeast Minnesota nonmetropolitan area 200 1.31 3.14$ 33.93$ 70,580
South Central Tennessee nonmetropolitan area 130 1.21 2.90$ 16.49$ 34,300
Southwest Minnesota nonmetropolitan area 140 1.19 2.85$ 34.53$ 71,820
Northeast Oklahoma nonmetropolitan area 140 1.17 2.79$ 22.44$ 46,670
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Top paying nonmetropolitan areas for Marriage and Family Therapists:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
North Valley-Northern Mountains Region of California nonmetropolitan area 80 0.78 1.87$ 44.43$ 92,410
Northwest Minnesota nonmetropolitan area 180 0.95 2.27$ 37.71$ 78,440
North Coast Region of California nonmetropolitan area (8) (8) (8) $ 36.84$ 76,640
Southwest Minnesota nonmetropolitan area 140 1.19 2.85$ 34.53$ 71,820
Northeast Minnesota nonmetropolitan area 90 2.10 5.03$ 34.07$ 70,870
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\n", + "

About May 2023 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia.\n", + "The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

\n", + "

The percentile wage estimate is the value of a wage below which a certain percent of workers fall.\n", + " The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median.\n", + " More about percentile wages.

\n", + "
\n", + "

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

\n", + "

(2) Annual wages have been calculated by multiplying the hourly mean wage by a \"year-round, full-time\" hours figure of 2,080 hours;\n", + "for those occupations where there is not an hourly wage published, the annual wage has been directly calculated from the reported survey data.

\n", + "

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

\n", + "

(7) The value is less than .005 percent of industry employment.

\n", + "

(8) Estimate not released.

\n", + "

(9) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration.\n", + "A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

\n", + "
\n", + "

Other OEWS estimates and related information:

\n", + "

May 2023 National Occupational Employment and Wage Estimates

\n", + "

May 2023 State Occupational Employment and Wage Estimates

\n", + "

May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

May 2023 National Industry-Specific Occupational Employment and Wage Estimates

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May 2023 Occupation Profiles

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Technical Notes

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Last Modified Date: April 3, 2024

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Recommend this page using:
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BROWSE OCCUPATIONS

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\n", + "\t\t\t\t\t\t Highest Paying\n", + "\t\t\t\n", + "\t\t\t\t\t\t Fastest Growing (Projected)\n", + "\t\t\t\n", + " \t\t\t Most New Jobs (Projected)\n", + "\t\t\t\n", + "\t\t\t\t\t\t Field of Degree\n", + "
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BROWSE RESOURCES

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Last Modified Date:\n", + " Thursday, August 29, 2024

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Recommend this page using:
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Occupational Employment and Wage Statistics
SHARE ON:\"share\"share\"share
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Occupational Employment and Wages, May 2023

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39-9041 Residential Advisors

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Coordinate activities in resident facilities in secondary school and college dormitories, group homes, or similar establishments. Order supplies and determine need for maintenance, repairs, and furnishings. May maintain household records and assign rooms. May assist residents with problem solving or refer them to counseling resources.

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\n", + "National estimates for Residential Advisors
\n", + "Industry profile for Residential Advisors
\n", + "Geographic profile for Residential Advisors
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National estimates for Residential Advisors:

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Employment estimate and mean wage estimates for Residential Advisors:

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Employment (1) Employment
RSE (3) 		Mean hourly
wage		Mean annual
wage (2) 		Wage RSE (3)
88,700 2.8 %$ 19.33$ 40,200 0.5 %
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Percentile wage estimates for Residential Advisors:

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Percentile 10% 25% 50%
(Median) 		75% 90%
Hourly Wage $ 13.23$ 15.63$ 18.25$ 22.26$ 26.75
Annual Wage (2) $ 27,520$ 32,510$ 37,950$ 46,310$ 55,640
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Industry profile for Residential Advisors:

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Industries with the highest published employment and wages for Residential Advisors are provided.\n", + "For a list of all industries with employment in Residential Advisors, see the Create Customized Tables function.

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Industries with the highest levels of employment in Residential Advisors:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse Facilities 21,260 3.41$ 19.24$ 40,020
Community Food and Housing, and Emergency and Other Relief Services 12,350 5.71$ 18.56$ 38,590
Other Residential Care Facilities 10,580 6.88$ 18.62$ 38,730
Colleges, Universities, and Professional Schools 9,970 0.32$ 19.67$ 40,920
Individual and Family Services 8,310 0.28$ 19.84$ 41,270
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Industries with the highest concentration of employment in Residential Advisors:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Rooming and Boarding Houses, Dormitories, and Workers' Camps 1,310 13.19$ 19.90$ 41,390
Other Residential Care Facilities 10,580 6.88$ 18.62$ 38,730
Community Food and Housing, and Emergency and Other Relief Services 12,350 5.71$ 18.56$ 38,590
Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse Facilities 21,260 3.41$ 19.24$ 40,020
Vocational Rehabilitation Services 3,500 1.26$ 19.22$ 39,980
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Top paying industries for Residential Advisors:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Local Government, excluding Schools and Hospitals (OEWS Designation) 2,050 0.04$ 25.68$ 53,400
General Medical and Surgical Hospitals 150(7) $ 24.36$ 50,660
Grantmaking and Giving Services 100 0.06$ 22.67$ 47,150
Management of Companies and Enterprises 410 0.01$ 22.67$ 47,140
Religious Organizations (8) (8) $ 22.54$ 46,870
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Geographic profile for Residential Advisors:

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States and areas with the highest published employment, location quotients, and wages for Residential Advisors are provided.\n", + "For a list of all areas with employment in Residential Advisors, see the Create Customized Tables function.

\n", + "
\n", + "
\n", + "\n", + "
\n", + "\n", + "\"Wyoming\n",\n", + "\"Wisconsin\n",\n", + "\"Wisconsin\n",\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Vermont\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Rhode\n", + "\"Rhode\n", + "\"Pennsylvania\n",\n", + "\"Oregon\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nevada\n",\n", + "\"Nebraska\n",\n", + "\"Montana\n",\n", + "\"Missouri\n",\n", + "\"Mississippi\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Louisiana\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"Florida\n",\n", + "\"District\n", + "\"Delaware\n",\n", + "\"Connecticut\n",\n", + "\"Colorado\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alaska\n",\n", + "\"Alabama\n",\n", + "\n", + "
\n", + "\"Employment\n", + "
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States with the highest employment level in Residential Advisors:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 9,130 0.51 0.87$ 22.94$ 47,720
New York 5,630 0.60 1.03$ 21.73$ 45,190
Pennsylvania 5,580 0.94 1.61$ 18.58$ 38,640
Massachusetts 4,720 1.29 2.22$ 22.88$ 47,580
Ohio 4,080 0.75 1.28$ 16.88$ 35,100
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\n", + "\n", + "
\n", + "\n", + "\"Wyoming\n",\n", + "\"Wisconsin\n",\n", + "\"Wisconsin\n",\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Vermont\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Rhode\n", + "\"Rhode\n", + "\"Pennsylvania\n",\n", + "\"Oregon\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nevada\n",\n", + "\"Nebraska\n",\n", + "\"Montana\n",\n", + "\"Missouri\n",\n", + "\"Mississippi\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Louisiana\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"Florida\n",\n", + "\"District\n", + "\"Delaware\n",\n", + "\"Connecticut\n",\n", + "\"Colorado\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alaska\n",\n", + "\"Alabama\n",\n", + "\n", + "
\n", + "\"Location\n", + "
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\n", + "

States with the highest concentration of jobs and location quotients in Residential Advisors:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
South Dakota 1,520 3.42 5.86$ 16.85$ 35,050
West Virginia 1,080 1.57 2.69$ 14.85$ 30,880
District of Columbia 930 1.32 2.26$ 22.11$ 45,980
Massachusetts 4,720 1.29 2.22$ 22.88$ 47,580
Kentucky 2,420 1.23 2.11$ 13.44$ 27,960
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\n", + "\"Annual\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Top paying states for Residential Advisors:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Louisiana 210 0.12 0.20$ 23.81$ 49,530
California 9,130 0.51 0.87$ 22.94$ 47,720
Massachusetts 4,720 1.29 2.22$ 22.88$ 47,580
Washington 1,980 0.57 0.97$ 22.26$ 46,290
District of Columbia 930 1.32 2.26$ 22.11$ 45,980
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Metropolitan areas with the highest employment level in Residential Advisors:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York-Newark-Jersey City, NY-NJ-PA 4,440 0.47 0.80$ 22.29$ 46,360
Los Angeles-Long Beach-Anaheim, CA 3,340 0.54 0.92$ 23.13$ 48,110
Boston-Cambridge-Nashua, MA-NH 3,010 1.09 1.87$ 23.64$ 49,160
Washington-Arlington-Alexandria, DC-VA-MD-WV 2,480 0.80 1.37$ 21.67$ 45,080
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 2,190 0.77 1.32$ 19.09$ 39,700
Minneapolis-St. Paul-Bloomington, MN-WI 1,910 1.00 1.71$ 21.99$ 45,750
Chicago-Naperville-Elgin, IL-IN-WI 1,680 0.37 0.64$ 19.41$ 40,380
Atlanta-Sandy Springs-Roswell, GA 1,480 0.52 0.90$ 18.39$ 38,260
Nashville-Davidson--Murfreesboro--Franklin, TN 1,190 1.11 1.89$ 18.49$ 38,450
San Francisco-Oakland-Hayward, CA 1,170 0.48 0.82$ 25.35$ 52,720
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Metropolitan areas with the highest concentration of jobs and location quotients in Residential Advisors:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Rapid City, SD 430 6.04 10.35$ 16.78$ 34,900
Cumberland, MD-WV 110 3.13 5.36$ 24.85$ 51,690
Mankato-North Mankato, MN 160 2.96 5.07$ 21.12$ 43,940
Augusta-Richmond County, GA-SC 650 2.84 4.87$ 17.67$ 36,760
Johnstown, PA 140 2.81 4.82$ 17.70$ 36,820
Jackson, TN 190 2.71 4.64$ 13.90$ 28,910
Jackson, MS 680 2.68 4.59$ 23.04$ 47,930
Bloomsburg-Berwick, PA 100 2.46 4.21$ 11.55$ 24,020
Duluth, MN-WI 290 2.38 4.07$ 21.51$ 44,750
Ithaca, NY 110 2.20 3.76$ 22.64$ 47,080
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Top paying metropolitan areas for Residential Advisors:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Napa, CA 50 0.62 1.07$ 30.30$ 63,010
Baton Rouge, LA 70 0.19 0.33$ 29.18$ 60,700
San Francisco-Oakland-Hayward, CA 1,170 0.48 0.82$ 25.35$ 52,720
San Jose-Sunnyvale-Santa Clara, CA 560 0.49 0.84$ 24.95$ 51,890
Cumberland, MD-WV 110 3.13 5.36$ 24.85$ 51,690
Salinas, CA 70 0.38 0.64$ 24.25$ 50,440
Seattle-Tacoma-Bellevue, WA 1,030 0.50 0.85$ 23.94$ 49,800
Santa Rosa, CA 150 0.71 1.21$ 23.93$ 49,770
Boston-Cambridge-Nashua, MA-NH 3,010 1.09 1.87$ 23.64$ 49,160
Portland-South Portland, ME 150 0.72 1.23$ 23.23$ 48,320
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Nonmetropolitan areas with the highest employment in Residential Advisors:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
East South Dakota nonmetropolitan area 560 4.23 7.24$ 16.80$ 34,940
Western Pennsylvania nonmetropolitan area 260 1.87 3.20$ 17.56$ 36,520
East Tennessee nonmetropolitan area 260 1.87 3.20$ 16.78$ 34,910
North Northeastern Ohio nonmetropolitan area (noncontiguous) 250 0.78 1.33$ 15.75$ 32,750
Northwest Minnesota nonmetropolitan area 240 1.29 2.20$ 21.64$ 45,020
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Nonmetropolitan areas with the highest concentration of jobs and location quotients in Residential Advisors:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
East South Dakota nonmetropolitan area 560 4.23 7.24$ 16.80$ 34,940
West South Dakota nonmetropolitan area 190 3.03 5.19$ 16.28$ 33,860
Connecticut nonmetropolitan area 90 2.72 4.65$ 20.11$ 41,830
East Kentucky nonmetropolitan area 220 2.14 3.66$ 12.64$ 26,290
Western Pennsylvania nonmetropolitan area 260 1.87 3.20$ 17.56$ 36,520
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Top paying nonmetropolitan areas for Residential Advisors:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Eastern Washington nonmetropolitan area 40 0.40 0.68$ 23.30$ 48,450
Alaska nonmetropolitan area 130 1.23 2.10$ 22.82$ 47,460
West Central-Southwest New Hampshire nonmetropolitan area 60 0.58 0.99$ 22.58$ 46,970
Southwest Minnesota nonmetropolitan area 140 1.18 2.02$ 22.48$ 46,750
East North Dakota nonmetropolitan area 60 0.89 1.52$ 22.11$ 45,990
\n", + "
\n", + "

About May 2023 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia.\n", + "The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

\n", + "

The percentile wage estimate is the value of a wage below which a certain percent of workers fall.\n", + " The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median.\n", + " More about percentile wages.

\n", + "
\n", + "

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

\n", + "

(2) Annual wages have been calculated by multiplying the hourly mean wage by a \"year-round, full-time\" hours figure of 2,080 hours;\n", + "for those occupations where there is not an hourly wage published, the annual wage has been directly calculated from the reported survey data.

\n", + "

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

\n", + "

(7) The value is less than .005 percent of industry employment.

\n", + "

(8) Estimate not released.

\n", + "

(9) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration.\n", + "A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

\n", + "
\n", + "

Other OEWS estimates and related information:

\n", + "

May 2023 National Occupational Employment and Wage Estimates

\n", + "

May 2023 State Occupational Employment and Wage Estimates

\n", + "

May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

May 2023 National Industry-Specific Occupational Employment and Wage Estimates

\n", + "

May 2023 Occupation Profiles

\n", + "

Technical Notes

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Last Modified Date: April 3, 2024

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Occupational Employment and Wage Statistics
SHARE ON:\"share\"share\"share
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\t\t\t\t\t\n", + "\n", + "\n", + "

Occupational Employment and Wages, May 2023

\n", + "

25-1113 Social Work Teachers, Postsecondary

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Teach courses in social work. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

\n", + "

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\n", + "National estimates for Social Work Teachers, Postsecondary
\n", + "Industry profile for Social Work Teachers, Postsecondary
\n", + "Geographic profile for Social Work Teachers, Postsecondary
\n", + "

\n", + "

National estimates for Social Work Teachers, Postsecondary:

\n", + "

Employment estimate and mean wage estimates for Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
Employment (1) Employment
RSE (3) 		Mean hourly
wage		Mean annual
wage (2) 		Mean wage
RSE (3)
11,730 1.1 %(4)$ 80,840 1.0 %
\n", + "

Percentile wage estimates for Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
Percentile 10% 25% 50%
(Median) 		75% 90%
Annual Wage (2) $ 46,790$ 53,640$ 75,020$ 96,670$ 127,760
\n", + "  (4)\n", + "
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Industry profile for Social Work Teachers, Postsecondary:

\n", + "

Industries with the highest published employment and wages for Social Work Teachers, Postsecondary are provided.\n", + "For a list of all industries with employment in Social Work Teachers, Postsecondary, see the Create Customized Tables function.

\n", + "

Industries with the highest levels of employment in Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Colleges, Universities, and Professional Schools 11,020 0.36(4) $ 81,100
Junior Colleges 690 0.11(4) $ 76,680
\n", + "

Industries with the highest concentration of employment in Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Colleges, Universities, and Professional Schools 11,020 0.36(4) $ 81,100
Junior Colleges 690 0.11(4) $ 76,680
\n", + "

Top paying industries for Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Colleges, Universities, and Professional Schools 11,020 0.36(4) $ 81,100
Junior Colleges 690 0.11(4) $ 76,680
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Geographic profile for Social Work Teachers, Postsecondary:

\n", + "

States and areas with the highest published employment, location quotients, and wages for Social Work Teachers, Postsecondary are provided.\n", + "For a list of all areas with employment in Social Work Teachers, Postsecondary, see the Create Customized Tables function.

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\n", + "\n", + "
\n", + "\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Wisconsin\n",\n", + "\"Wisconsin\n",\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Pennsylvania\n",\n", + "\"Oregon\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nevada\n",\n", + "\"Missouri\n",\n", + "\"Mississippi\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"Connecticut\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alabama\n",\n", + "\n", + "
\n", + "\"Employment\n", + "
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States with the highest employment level in Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York 1,430 0.15 1.98(4) $ 96,130
Illinois 870 0.14 1.88(4) $ 80,560
Ohio 750 0.14 1.77(4) $ 74,790
Pennsylvania 660 0.11 1.43(4) $ 82,640
North Carolina 630 0.13 1.70(4) $ 71,260
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\n", + "\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Wisconsin\n",\n", + "\"Wisconsin\n",\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Pennsylvania\n",\n", + "\"Oregon\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nevada\n",\n", + "\"Missouri\n",\n", + "\"Mississippi\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"Connecticut\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alabama\n",\n", + "\n", + "
\n", + "\"Location\n", + "
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States with the highest concentration of jobs and location quotients in Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New Mexico 260 0.31 4.01(4) $ 60,870
Hawaii 170 0.27 3.48(4) $ 122,940
South Dakota 90 0.21 2.69(4) $ 67,100
New York 1,430 0.15 1.98(4) $ 96,130
Illinois 870 0.14 1.88(4) $ 80,560
\n", + "
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\n", + "\n", + "
\n", + "\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Wisconsin\n",\n", + "\"Wisconsin\n",\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Rhode\n", + "\"Rhode\n", + "\"Pennsylvania\n",\n", + "\"Oregon\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nevada\n",\n", + "\"Missouri\n",\n", + "\"Mississippi\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"District\n", + "\"Connecticut\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alabama\n",\n", + "\n", + "
\n", + "\"Annual\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Top paying states for Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 70 0.00 0.05(4) $ 141,870
Hawaii 170 0.27 3.48(4) $ 122,940
Maryland 130 0.05 0.63(4) $ 96,170
New York 1,430 0.15 1.98(4) $ 96,130
Massachusetts 410 0.11 1.47(4) $ 95,220
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Metropolitan areas with the highest employment level in Social Work Teachers, Postsecondary:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York-Newark-Jersey City, NY-NJ-PA 1,140 0.12 1.55(4) $ 103,220
Chicago-Naperville-Elgin, IL-IN-WI 650 0.14 1.86(4) $ 74,770
Phoenix-Mesa-Scottsdale, AZ 320 0.14 1.81(4) $ 79,000
Boston-Cambridge-Nashua, MA-NH 290 0.10 1.34(4) $ 98,100
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 270 0.09 1.22(4) $ 83,970
Minneapolis-St. Paul-Bloomington, MN-WI 230 0.12 1.56(4) $ 81,390
Washington-Arlington-Alexandria, DC-VA-MD-WV 210 0.07 0.90(4) $ 90,560
Indianapolis-Carmel-Anderson, IN 210 0.20 2.52(4) $ 76,340
Seattle-Tacoma-Bellevue, WA 200 0.09 1.23(4) $ 85,650
Columbus, OH 190 0.18 2.32(4) $ 76,040
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Metropolitan areas with the highest concentration of jobs and location quotients in Social Work Teachers, Postsecondary:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Ann Arbor, MI 150 0.68 8.75(4) $ 104,390
Duluth, MN-WI 40 0.35 4.49(4) $ 59,750
Rochester, NY 160 0.33 4.27(4) $ 62,950
Durham-Chapel Hill, NC 90 0.27 3.52(4) $ 91,510
Buffalo-Cheektowaga-Niagara Falls, NY 140 0.27 3.49(4) $ 69,670
Richmond, VA 170 0.26 3.36(4) $ 74,710
Scranton--Wilkes-Barre--Hazleton, PA 60 0.24 3.17(4) $ 78,100
Fayetteville-Springdale-Rogers, AR-MO 60 0.24 3.06(4) $ 77,150
Boise City, ID 80 0.22 2.79(4) $ 65,160
Indianapolis-Carmel-Anderson, IN 210 0.20 2.52(4) $ 76,340
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Top paying metropolitan areas for Social Work Teachers, Postsecondary:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Los Angeles-Long Beach-Anaheim, CA 50 0.01 0.10(4) $ 138,710
Ann Arbor, MI 150 0.68 8.75(4) $ 104,390
New York-Newark-Jersey City, NY-NJ-PA 1,140 0.12 1.55(4) $ 103,220
Boston-Cambridge-Nashua, MA-NH 290 0.10 1.34(4) $ 98,100
Madison, WI 70 0.19 2.42(4) $ 94,670
Albany-Schenectady-Troy, NY 80 0.18 2.34(4) $ 92,600
Durham-Chapel Hill, NC 90 0.27 3.52(4) $ 91,510
Springfield, MA-CT (8) (8) (8) (4) $ 91,270
Washington-Arlington-Alexandria, DC-VA-MD-WV 210 0.07 0.90(4) $ 90,560
New Haven, CT (8) (8) (8) (4) $ 90,490
\n", + "

Nonmetropolitan areas with the highest employment in Social Work Teachers, Postsecondary:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Eastern New Mexico nonmetropolitan area 170 1.08 14.02(4) $ 57,660
Mountain North Carolina nonmetropolitan area 80 0.63 8.21(4) $ 77,930
East South Dakota nonmetropolitan area 70 0.54 7.01(4) $ 68,470
Piedmont North Carolina nonmetropolitan area 50 0.21 2.69(4) $ 53,840
Balance of Lower Peninsula of Michigan nonmetropolitan area 50 0.20 2.60(4) $ 87,970
\n", + "

Nonmetropolitan areas with the highest concentration of jobs and location quotients in Social Work Teachers, Postsecondary:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Eastern New Mexico nonmetropolitan area 170 1.08 14.02(4) $ 57,660
Mountain North Carolina nonmetropolitan area 80 0.63 8.21(4) $ 77,930
Northern New Mexico nonmetropolitan area 40 0.55 7.09(4) $ 56,920
East South Dakota nonmetropolitan area 70 0.54 7.01(4) $ 68,470
Piedmont North Carolina nonmetropolitan area 50 0.21 2.69(4) $ 53,840
\n", + "

Top paying nonmetropolitan areas for Social Work Teachers, Postsecondary:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Balance of Lower Peninsula of Michigan nonmetropolitan area 50 0.20 2.60(4) $ 87,970
Mountain North Carolina nonmetropolitan area 80 0.63 8.21(4) $ 77,930
Central Kentucky nonmetropolitan area 30 0.16 2.10(4) $ 69,690
East South Dakota nonmetropolitan area 70 0.54 7.01(4) $ 68,470
Southeast Coastal North Carolina nonmetropolitan area 30 0.13 1.71(4) $ 66,350
\n", + "
\n", + "

About May 2023 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia.\n", + "The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

\n", + "

The percentile wage estimate is the value of a wage below which a certain percent of workers fall.\n", + " The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median.\n", + " More about percentile wages.

\n", + "
\n", + "

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

\n", + "

(2) Annual wages have been calculated by multiplying the hourly mean wage by a \"year-round, full-time\" hours figure of 2,080 hours;\n", + "for those occupations where there is not an hourly wage published, the annual wage has been directly calculated from the reported survey data.

\n", + "

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

\n", + "

(4) Wages for some occupations that do not generally work year-round, full time, are reported either as hourly wages or annual salaries\n", + "depending on how they are typically paid.

\n", + "

(8) Estimate not released.

\n", + "

(9) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration.\n", + "A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

\n", + "
\n", + "

Other OEWS estimates and related information:

\n", + "

May 2023 National Occupational Employment and Wage Estimates

\n", + "

May 2023 State Occupational Employment and Wage Estimates

\n", + "

May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

May 2023 National Industry-Specific Occupational Employment and Wage Estimates

\n", + "

May 2023 Occupation Profiles

\n", + "

Technical Notes

\n", + "

 

\n", + "

Last Modified Date: April 3, 2024

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The\n", + "\t\t\thttps:// ensures that you are connecting to the official website and that any\n", + "\t\t\tinformation you provide is encrypted and transmitted securely.\n", + "\t\t

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Follow Us | Release Calendar | Blog
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Occupational Employment and Wage Statistics
SHARE ON:\"share\"share\"share
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\t\t\t\t\t\n", + "\n", + "\n", + "

Occupational Employment and Wages, May 2023

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29-2092 Hearing Aid Specialists

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Select and fit hearing aids for customers. Administer and interpret tests of hearing. Assess hearing instrument efficacy. Take ear impressions and prepare, design, and modify ear molds. Excludes “Audiologists” (29-1181).

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\n", + "National estimates for Hearing Aid Specialists
\n", + "Industry profile for Hearing Aid Specialists
\n", + "Geographic profile for Hearing Aid Specialists
\n", + "

\n", + "

National estimates for Hearing Aid Specialists:

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Employment estimate and mean wage estimates for Hearing Aid Specialists:

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Employment (1) Employment
RSE (3) 		Mean hourly
wage		Mean annual
wage (2) 		Wage RSE (3)
10,250 8.0 %$ 29.59$ 61,550 3.2 %
\n", + "

Percentile wage estimates for Hearing Aid Specialists:

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Percentile 10% 25% 50%
(Median) 		75% 90%
Hourly Wage $ 16.58$ 20.44$ 28.21$ 36.01$ 41.28
Annual Wage (2) $ 34,480$ 42,520$ 58,670$ 74,900$ 85,870
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\n", + "

Industry profile for Hearing Aid Specialists:

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Industries with the highest published employment and wages for Hearing Aid Specialists are provided.\n", + "For a list of all industries with employment in Hearing Aid Specialists, see the Create Customized Tables function.

\n", + "

Industries with the highest levels of employment in Hearing Aid Specialists:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Health and Personal Care Retailers 3,690 0.33$ 29.89$ 62,160
Other Ambulatory Health Care Services 490 0.14$ 25.45$ 52,930
Offices of Physicians 470 0.02$ 21.55$ 44,820
General Medical and Surgical Hospitals 260 0.00$ 21.84$ 45,430
Professional and Commercial Equipment and Supplies Merchant Wholesalers 160 0.02$ 34.01$ 70,740
\n", + "

Industries with the highest concentration of employment in Hearing Aid Specialists:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Health and Personal Care Retailers 3,690 0.33$ 29.89$ 62,160
Other Ambulatory Health Care Services 490 0.14$ 25.45$ 52,930
Professional and Commercial Equipment and Supplies Merchant Wholesalers 160 0.02$ 34.01$ 70,740
Offices of Physicians 470 0.02$ 21.55$ 44,820
Specialty (except Psychiatric and Substance Abuse) Hospitals 40 0.01$ 20.82$ 43,310
\n", + "

Top paying industries for Hearing Aid Specialists:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Professional and Commercial Equipment and Supplies Merchant Wholesalers 160 0.02$ 34.01$ 70,740
Health and Personal Care Retailers 3,690 0.33$ 29.89$ 62,160
Offices of Other Health Practitioners (8) (8) $ 27.43$ 57,050
Other Ambulatory Health Care Services 490 0.14$ 25.45$ 52,930
Local Government, excluding Schools and Hospitals (OEWS Designation) 80(7) $ 23.95$ 49,810
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Geographic profile for Hearing Aid Specialists:

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States and areas with the highest published employment, location quotients, and wages for Hearing Aid Specialists are provided.\n", + "For a list of all areas with employment in Hearing Aid Specialists, see the Create Customized Tables function.

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\n", + "\"Employment\n", + "
\n", + "
\n", + "
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\n", + "

States with the highest employment level in Hearing Aid Specialists:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 890 0.05 0.74$ 33.90$ 70,510
Illinois 720 0.12 1.77$ 26.35$ 54,810
Michigan 710 0.16 2.43$ 25.91$ 53,890
Pennsylvania 550 0.09 1.36$ 28.48$ 59,230
Texas 520 0.04 0.57$ 31.07$ 64,630
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\n", + "\"Location\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

States with the highest concentration of jobs and location quotients in Hearing Aid Specialists:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Utah 310 0.19 2.77$ 23.93$ 49,770
Iowa 270 0.18 2.61$ 33.87$ 70,450
Michigan 710 0.16 2.43$ 25.91$ 53,890
Hawaii 100 0.16 2.36$ 37.97$ 78,970
South Carolina 340 0.15 2.24$ 23.94$ 49,790
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\n", + "\"Annual\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Top paying states for Hearing Aid Specialists:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York 380 0.04 0.60$ 45.32$ 94,260
New Mexico 60 0.07 1.02$ 38.27$ 79,600
Hawaii 100 0.16 2.36$ 37.97$ 78,970
Virginia 210 0.05 0.80$ 36.51$ 75,940
Alabama 50 0.02 0.34$ 36.17$ 75,230
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\n", + "

Metropolitan areas with the highest employment level in Hearing Aid Specialists:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Chicago-Naperville-Elgin, IL-IN-WI 480 0.11 1.58$ 27.07$ 56,300
Detroit-Warren-Dearborn, MI 400 0.21 3.08$ 27.08$ 56,320
New York-Newark-Jersey City, NY-NJ-PA 340 0.04 0.52$ 43.92$ 91,360
Los Angeles-Long Beach-Anaheim, CA 280 0.05 0.68$ 26.79$ 55,720
Minneapolis-St. Paul-Bloomington, MN-WI 240 0.13 1.90$ 29.87$ 62,140
Salt Lake City, UT 240 0.30 4.49$ 22.50$ 46,800
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 200 0.07 1.04$ 28.30$ 58,860
Orlando-Kissimmee-Sanford, FL 160 0.12 1.76$ 26.32$ 54,740
St. Louis, MO-IL 140 0.11 1.59$ 26.68$ 55,500
Houston-The Woodlands-Sugar Land, TX 120 0.04 0.56$ 32.40$ 67,390
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Metropolitan areas with the highest concentration of jobs and location quotients in Hearing Aid Specialists:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Bend-Redmond, OR 40 0.47 6.89$ 36.20$ 75,300
Salt Lake City, UT 240 0.30 4.49$ 22.50$ 46,800
Myrtle Beach-Conway-North Myrtle Beach, SC-NC 50 0.26 3.79$ 27.94$ 58,120
Flint, MI 30 0.24 3.49$ 21.88$ 45,500
Des Moines-West Des Moines, IA 90 0.23 3.37$ 33.52$ 69,720
Detroit-Warren-Dearborn, MI 400 0.21 3.08$ 27.08$ 56,320
Urban Honolulu, HI 70 0.16 2.44$ 39.66$ 82,490
Lansing-East Lansing, MI 30 0.16 2.30$ 25.48$ 53,000
North Port-Sarasota-Bradenton, FL 50 0.15 2.21$ 28.84$ 59,980
Milwaukee-Waukesha-West Allis, WI 120 0.14 2.11$ 34.06$ 70,850
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Top paying metropolitan areas for Hearing Aid Specialists:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York-Newark-Jersey City, NY-NJ-PA 340 0.04 0.52$ 43.92$ 91,360
San Francisco-Oakland-Hayward, CA 100 0.04 0.64$ 40.19$ 83,580
San Jose-Sunnyvale-Santa Clara, CA (8) (8) (8) $ 39.78$ 82,740
Urban Honolulu, HI 70 0.16 2.44$ 39.66$ 82,490
Richmond, VA 50 0.07 1.07$ 38.70$ 80,490
Albuquerque, NM 40 0.09 1.39$ 38.62$ 80,340
Virginia Beach-Norfolk-Newport News, VA-NC 60 0.08 1.14$ 38.56$ 80,210
San Diego-Carlsbad, CA (8) (8) (8) $ 37.69$ 78,400
Riverside-San Bernardino-Ontario, CA (8) (8) (8) $ 36.34$ 75,580
Bend-Redmond, OR 40 0.47 6.89$ 36.20$ 75,300
\n", + "
\n", + "

About May 2023 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia.\n", + "The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

\n", + "

The percentile wage estimate is the value of a wage below which a certain percent of workers fall.\n", + " The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median.\n", + " More about percentile wages.

\n", + "
\n", + "

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

\n", + "

(2) Annual wages have been calculated by multiplying the hourly mean wage by a \"year-round, full-time\" hours figure of 2,080 hours;\n", + "for those occupations where there is not an hourly wage published, the annual wage has been directly calculated from the reported survey data.

\n", + "

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

\n", + "

(7) The value is less than .005 percent of industry employment.

\n", + "

(8) Estimate not released.

\n", + "

(9) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration.\n", + "A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

\n", + "
\n", + "

Other OEWS estimates and related information:

\n", + "

May 2023 National Occupational Employment and Wage Estimates

\n", + "

May 2023 State Occupational Employment and Wage Estimates

\n", + "

May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

May 2023 National Industry-Specific Occupational Employment and Wage Estimates

\n", + "

May 2023 Occupation Profiles

\n", + "

Technical Notes

\n", + "

 

\n", + "

Last Modified Date: April 3, 2024

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Recommend this page using:
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Occupational Employment and Wage Statistics
SHARE ON:\"share\"share\"share
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\t\t\t\t\t\n", + "\n", + "\n", + "

Occupational Employment and Wages, May 2023

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21-1022 Healthcare Social Workers

\n", + "

Provide individuals, families, and groups with the psychosocial support needed to cope with chronic, acute, or terminal illnesses. Services include advising family caregivers. Provide patients with information and counseling, and make referrals for other services. May also provide case and care management or interventions designed to promote health, prevent disease, and address barriers to access to healthcare.

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\n", + "

\n", + "National estimates for Healthcare Social Workers
\n", + "Industry profile for Healthcare Social Workers
\n", + "Geographic profile for Healthcare Social Workers
\n", + "

\n", + "

National estimates for Healthcare Social Workers:

\n", + "

Employment estimate and mean wage estimates for Healthcare Social Workers:

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Employment (1) Employment
RSE (3) 		Mean hourly
wage		Mean annual
wage (2) 		Wage RSE (3)
185,020 1.0 %$ 32.42$ 67,430 0.5 %
\n", + "

Percentile wage estimates for Healthcare Social Workers:

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Percentile 10% 25% 50%
(Median) 		75% 90%
Hourly Wage $ 20.12$ 24.13$ 30.26$ 37.84$ 47.01
Annual Wage (2) $ 41,840$ 50,190$ 62,940$ 78,710$ 97,790
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\n", + "
\n", + "

Industry profile for Healthcare Social Workers:

\n", + "

Industries with the highest published employment and wages for Healthcare Social Workers are provided.\n", + "For a list of all industries with employment in Healthcare Social Workers, see the Create Customized Tables function.

\n", + "

Industries with the highest levels of employment in Healthcare Social Workers:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
General Medical and Surgical Hospitals 45,010 0.79$ 36.79$ 76,520
Home Health Care Services 24,740 1.54$ 35.09$ 72,990
Individual and Family Services 23,700 0.79$ 26.72$ 55,590
Nursing Care Facilities (Skilled Nursing Facilities) 14,950 1.08$ 28.00$ 58,230
Outpatient Care Centers 12,250 1.15$ 35.69$ 74,240
\n", + "

Industries with the highest concentration of employment in Healthcare Social Workers:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Home Health Care Services 24,740 1.54$ 35.09$ 72,990
Psychiatric and Substance Abuse Hospitals 3,280 1.40$ 34.87$ 72,530
Outpatient Care Centers 12,250 1.15$ 35.69$ 74,240
Nursing Care Facilities (Skilled Nursing Facilities) 14,950 1.08$ 28.00$ 58,230
Community Food and Housing, and Emergency and Other Relief Services 2,240 1.03$ 23.88$ 49,660
\n", + "

Top paying industries for Healthcare Social Workers:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Specialty (except Psychiatric and Substance Abuse) Hospitals 2,770 0.97$ 38.06$ 79,160
Child Care Services 190 0.02$ 37.21$ 77,390
General Medical and Surgical Hospitals 45,010 0.79$ 36.79$ 76,520
Outpatient Care Centers 12,250 1.15$ 35.69$ 74,240
Scientific Research and Development Services 180 0.02$ 35.50$ 73,830
\n", + "
\n", + "
\n", + "

Geographic profile for Healthcare Social Workers:

\n", + "

States and areas with the highest published employment, location quotients, and wages for Healthcare Social Workers are provided.\n", + "For a list of all areas with employment in Healthcare Social Workers, see the Create Customized Tables function.

\n", + "
\n", + "
\n", + "\n", + "
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\n", + "\"Employment\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

States with the highest employment level in Healthcare Social Workers:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York 24,900 2.65 2.18$ 30.79$ 64,050
California 19,660 1.10 0.90$ 44.81$ 93,200
Texas 11,590 0.85 0.70$ 30.83$ 64,120
Florida 9,910 1.04 0.85$ 30.29$ 62,990
Ohio 8,260 1.51 1.24$ 31.08$ 64,650
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\n", + "\"Location\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

States with the highest concentration of jobs and location quotients in Healthcare Social Workers:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York 24,900 2.65 2.18$ 30.79$ 64,050
Massachusetts 8,120 2.23 1.83$ 33.54$ 69,770
Tennessee 6,630 2.06 1.69$ 27.79$ 57,810
Missouri 5,430 1.89 1.55$ 25.51$ 53,060
Maryland 4,430 1.65 1.36$ 31.26$ 65,030
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\n", + "\"Annual\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Top paying states for Healthcare Social Workers:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 19,660 1.10 0.90$ 44.81$ 93,200
District of Columbia 460 0.65 0.54$ 42.24$ 87,860
New Jersey 3,730 0.89 0.73$ 39.43$ 82,010
Oregon 2,180 1.12 0.92$ 39.13$ 81,390
Connecticut 2,170 1.31 1.07$ 38.16$ 79,360
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Metropolitan areas with the highest employment level in Healthcare Social Workers:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York-Newark-Jersey City, NY-NJ-PA 20,340 2.14 1.76$ 33.59$ 69,870
Los Angeles-Long Beach-Anaheim, CA 8,250 1.33 1.09$ 45.21$ 94,040
Boston-Cambridge-Nashua, MA-NH 5,910 2.14 1.76$ 34.36$ 71,470
Atlanta-Sandy Springs-Roswell, GA 3,470 1.23 1.01$ 30.24$ 62,900
Seattle-Tacoma-Bellevue, WA 3,190 1.53 1.26$ 35.74$ 74,330
Chicago-Naperville-Elgin, IL-IN-WI 3,130 0.69 0.57$ 32.45$ 67,490
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 3,040 1.07 0.88$ 32.72$ 68,070
Houston-The Woodlands-Sugar Land, TX 3,000 0.94 0.77$ 31.42$ 65,360
Dallas-Fort Worth-Arlington, TX 2,970 0.75 0.62$ 32.96$ 68,560
Miami-Fort Lauderdale-West Palm Beach, FL 2,840 1.04 0.86$ 31.68$ 65,900
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Metropolitan areas with the highest concentration of jobs and location quotients in Healthcare Social Workers:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Watertown-Fort Drum, NY 150 3.88 3.18$ 23.63$ 49,150
Binghamton, NY 330 3.46 2.84$ 24.93$ 51,860
Rochester, NY 1,700 3.44 2.82$ 24.15$ 50,230
Jackson, TN 230 3.29 2.70$ 27.53$ 57,260
Glens Falls, NY 160 3.22 2.65$ 27.45$ 57,100
La Crosse-Onalaska, WI-MN 230 3.11 2.56$ 29.50$ 61,360
Pittsfield, MA 120 3.07 2.52$ 31.94$ 66,430
Johnson City, TN 250 3.02 2.48$ 25.43$ 52,890
Cape Girardeau, MO-IL 130 2.89 2.38$ 24.46$ 50,880
Chattanooga, TN-GA 750 2.85 2.34$ 25.18$ 52,370
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\n", + "

Top paying metropolitan areas for Healthcare Social Workers:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Napa, CA (8) (8) (8) $ 55.72$ 115,890
San Jose-Sunnyvale-Santa Clara, CA 870 0.76 0.63$ 53.00$ 110,250
San Luis Obispo-Paso Robles-Arroyo Grande, CA (8) (8) (8) $ 49.51$ 102,980
San Francisco-Oakland-Hayward, CA 2,480 1.02 0.84$ 49.41$ 102,770
Vallejo-Fairfield, CA 150 1.11 0.91$ 49.05$ 102,030
Santa Rosa, CA 200 0.96 0.79$ 45.86$ 95,380
Modesto, CA 210 1.10 0.90$ 45.28$ 94,180
Los Angeles-Long Beach-Anaheim, CA 8,250 1.33 1.09$ 45.21$ 94,040
Chico, CA 100 1.30 1.06$ 44.98$ 93,560
Fresno, CA 510 1.24 1.02$ 44.72$ 93,010
\n", + "

Nonmetropolitan areas with the highest employment in Healthcare Social Workers:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Central East New York nonmetropolitan area 460 2.91 2.39$ 26.31$ 54,720
Capital/Northern New York nonmetropolitan area 410 2.95 2.42$ 28.54$ 59,350
Southern Ohio nonmetropolitan area 410 2.56 2.10$ 29.93$ 62,250
Kansas nonmetropolitan area 390 1.00 0.82$ 25.77$ 53,600
Southeast Missouri nonmetropolitan area 330 2.01 1.65$ 23.61$ 49,110
\n", + "

Nonmetropolitan areas with the highest concentration of jobs and location quotients in Healthcare Social Workers:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Maryland nonmetropolitan area 180 3.03 2.49$ 26.98$ 56,130
Capital/Northern New York nonmetropolitan area 410 2.95 2.42$ 28.54$ 59,350
Central East New York nonmetropolitan area 460 2.91 2.39$ 26.31$ 54,720
Northwestern Wisconsin nonmetropolitan area 130 2.69 2.20$ 26.66$ 55,450
Southern Ohio nonmetropolitan area 410 2.56 2.10$ 29.93$ 62,250
\n", + "

Top paying nonmetropolitan areas for Healthcare Social Workers:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
North Valley-Northern Mountains Region of California nonmetropolitan area 110 1.06 0.87$ 41.71$ 86,750
Eastern Oregon nonmetropolitan area 70 0.92 0.75$ 38.81$ 80,720
Coast Oregon nonmetropolitan area 120 1.09 0.89$ 38.05$ 79,150
North Coast Region of California nonmetropolitan area 150 1.46 1.20$ 37.88$ 78,790
Connecticut nonmetropolitan area 50 1.53 1.26$ 37.01$ 76,980
\n", + "
\n", + "

About May 2023 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia.\n", + "The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

\n", + "

The percentile wage estimate is the value of a wage below which a certain percent of workers fall.\n", + " The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median.\n", + " More about percentile wages.

\n", + "
\n", + "

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

\n", + "

(2) Annual wages have been calculated by multiplying the hourly mean wage by a \"year-round, full-time\" hours figure of 2,080 hours;\n", + "for those occupations where there is not an hourly wage published, the annual wage has been directly calculated from the reported survey data.

\n", + "

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

\n", + "

(8) Estimate not released.

\n", + "

(9) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration.\n", + "A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

\n", + "
\n", + "

Other OEWS estimates and related information:

\n", + "

May 2023 National Occupational Employment and Wage Estimates

\n", + "

May 2023 State Occupational Employment and Wage Estimates

\n", + "

May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

May 2023 National Industry-Specific Occupational Employment and Wage Estimates

\n", + "

May 2023 Occupation Profiles

\n", + "

Technical Notes

\n", + "

 

\n", + "

Last Modified Date: April 3, 2024

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Occupational Employment and Wage Statistics
SHARE ON:\"share\"share\"share
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\t\t\t\t\t\n", + "\n", + "\n", + "

Occupational Employment and Wages, May 2023

\n", + "

13-1075 Labor Relations Specialists

\n", + "

Resolve disputes between workers and managers, negotiate collective bargaining agreements, or coordinate grievance procedures to handle employee complaints. Excludes equal employment opportunity (EEO) officers, who are included in “Compliance Officers” (13-1041).

\n", + "

\n", + "

\n", + "National estimates for Labor Relations Specialists
\n", + "Industry profile for Labor Relations Specialists
\n", + "Geographic profile for Labor Relations Specialists
\n", + "

\n", + "

National estimates for Labor Relations Specialists:

\n", + "

Employment estimate and mean wage estimates for Labor Relations Specialists:

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Employment (1) Employment
RSE (3) 		Mean hourly
wage		Mean annual
wage (2) 		Wage RSE (3)
62,800 1.1 %$ 45.49$ 94,620 0.9 %
\n", + "

Percentile wage estimates for Labor Relations Specialists:

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Percentile 10% 25% 50%
(Median) 		75% 90%
Hourly Wage $ 23.25$ 31.56$ 43.26$ 57.99$ 67.08
Annual Wage (2) $ 48,360$ 65,650$ 89,980$ 120,610$ 139,520
\n", + "
\n", + "
\n", + "

Industry profile for Labor Relations Specialists:

\n", + "

Industries with the highest published employment and wages for Labor Relations Specialists are provided.\n", + "For a list of all industries with employment in Labor Relations Specialists, see the Create Customized Tables function.

\n", + "

Industries with the highest levels of employment in Labor Relations Specialists:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Business, Professional, Labor, Political, and Similar Organizations 49,100 11.48$ 45.24$ 94,110
Management of Companies and Enterprises 1,980 0.07$ 53.90$ 112,110
State Government, excluding Schools and Hospitals (OEWS Designation) 1,130 0.05$ 36.85$ 76,650
Insurance Carriers 910 0.07$ 34.73$ 72,240
Credit Intermediation and Related Activities (5221 and 5223 only) 900 0.04$ 47.33$ 98,440
\n", + "

Industries with the highest concentration of employment in Labor Relations Specialists:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Business, Professional, Labor, Political, and Similar Organizations 49,100 11.48$ 45.24$ 94,110
Business Schools and Computer and Management Training 120 0.14$ 32.83$ 68,280
Natural Gas Distribution 90 0.08$ 56.18$ 116,860
Computer and Peripheral Equipment Manufacturing 110 0.07$ 50.24$ 104,500
Insurance Carriers 910 0.07$ 34.73$ 72,240
\n", + "

Top paying industries for Labor Relations Specialists:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services 40 0.01$ 65.00$ 135,200
Architectural, Engineering, and Related Services 70(7) $ 61.58$ 128,080
Electric Power Generation, Transmission and Distribution 120 0.03$ 61.11$ 127,110
Aerospace Product and Parts Manufacturing 120 0.02$ 57.89$ 120,410
Merchant Wholesalers, Nondurable Goods (4244 and 4248 only) 30(7) $ 56.82$ 118,190
\n", + "
\n", + "
\n", + "

Geographic profile for Labor Relations Specialists:

\n", + "

States and areas with the highest published employment, location quotients, and wages for Labor Relations Specialists are provided.\n", + "For a list of all areas with employment in Labor Relations Specialists, see the Create Customized Tables function.

\n", + "
\n", + "
\n", + "\n", + "
\n", + "\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Wyoming\n",\n", + "\"Wisconsin\n",\n", + "\"Wisconsin\n",\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Vermont\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Rhode\n", + "\"Rhode\n", + "\"Pennsylvania\n",\n", + "\"Oregon\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nevada\n",\n", + "\"Nebraska\n",\n", + "\"Montana\n",\n", + "\"Missouri\n",\n", + "\"Mississippi\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Louisiana\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"Florida\n",\n", + "\"District\n", + "\"Delaware\n",\n", + "\"Connecticut\n",\n", + "\"Colorado\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alaska\n",\n", + "\"Alabama\n",\n", + "\n", + "
\n", + "\"Employment\n", + "
\n", + "
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\n", + "

States with the highest employment level in Labor Relations Specialists:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 8,060 0.45 1.09$ 53.34$ 110,950
New York 7,580 0.81 1.95$ 51.81$ 107,770
Ohio 4,010 0.73 1.77$ 39.34$ 81,830
Pennsylvania 3,460 0.58 1.41$ 47.06$ 97,880
New Jersey 3,130 0.75 1.80$ 51.61$ 107,340
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\n", + "\"Location\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

States with the highest concentration of jobs and location quotients in Labor Relations Specialists:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Rhode Island 700 1.44 3.49$ 43.79$ 91,090
Wisconsin 2,530 0.87 2.12$ 36.22$ 75,330
Indiana 2,730 0.87 2.09$ 40.23$ 83,680
New York 7,580 0.81 1.95$ 51.81$ 107,770
Washington 2,710 0.77 1.87$ 52.51$ 109,220
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\n", + "\"Annual\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Top paying states for Labor Relations Specialists:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Nevada 540 0.36 0.88$ 60.44$ 125,720
District of Columbia 390 0.55 1.33$ 57.92$ 120,460
North Dakota 110 0.26 0.63$ 53.40$ 111,080
California 8,060 0.45 1.09$ 53.34$ 110,950
Alaska 130 0.42 1.01$ 52.89$ 110,010
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Metropolitan areas with the highest employment level in Labor Relations Specialists:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York-Newark-Jersey City, NY-NJ-PA 7,310 0.77 1.86$ 53.26$ 110,770
Los Angeles-Long Beach-Anaheim, CA 3,150 0.51 1.23$ 51.67$ 107,470
Chicago-Naperville-Elgin, IL-IN-WI 2,570 0.57 1.38$ 48.51$ 100,900
Seattle-Tacoma-Bellevue, WA 2,000 0.96 2.32$ 53.61$ 111,510
San Francisco-Oakland-Hayward, CA 1,800 0.74 1.80$ 59.83$ 124,450
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 1,660 0.59 1.42$ 48.26$ 100,380
Boston-Cambridge-Nashua, MA-NH 1,460 0.53 1.28$ 43.43$ 90,330
Minneapolis-St. Paul-Bloomington, MN-WI 1,460 0.76 1.84$ 46.27$ 96,230
Detroit-Warren-Dearborn, MI 1,170 0.61 1.49$ 37.27$ 77,510
Pittsburgh, PA 960 0.90 2.17$ 47.10$ 97,960
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Metropolitan areas with the highest concentration of jobs and location quotients in Labor Relations Specialists:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Kokomo, IN 290 8.27 19.99$ 38.26$ 79,580
Oshkosh-Neenah, WI 210 2.24 5.41$ 30.08$ 62,560
Weirton-Steubenville, WV-OH 60 1.65 4.00$ 39.20$ 81,530
Duluth, MN-WI 200 1.62 3.92$ 39.19$ 81,520
Appleton, WI 200 1.59 3.84$ 36.99$ 76,950
Evansville, IN-KY 230 1.50 3.64$ 34.62$ 72,010
Lima, OH 70 1.50 3.63$ 37.82$ 78,660
Albany-Schenectady-Troy, NY 660 1.49 3.61$ 50.44$ 104,910
Dover, DE 90 1.38 3.34$ 42.81$ 89,050
Youngstown-Warren-Boardman, OH-PA 270 1.32 3.20$ 38.16$ 79,370
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\n", + "\"Annual\n", + "
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Top paying metropolitan areas for Labor Relations Specialists:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Reno, NV 80 0.30 0.73$ 75.67$ 157,400
San Francisco-Oakland-Hayward, CA 1,800 0.74 1.80$ 59.83$ 124,450
Kingston, NY 30 0.55 1.33$ 58.24$ 121,140
Las Vegas-Henderson-Paradise, NV 440 0.41 0.99$ 57.23$ 119,040
Santa Rosa, CA 40 0.18 0.44$ 56.59$ 117,720
San Jose-Sunnyvale-Santa Clara, CA 460 0.40 0.98$ 56.54$ 117,600
Modesto, CA 50 0.26 0.64$ 56.11$ 116,700
Washington-Arlington-Alexandria, DC-VA-MD-WV 850 0.28 0.67$ 55.89$ 116,250
Olympia-Tumwater, WA 120 0.99 2.39$ 55.35$ 115,130
Bismarck, ND 30 0.45 1.08$ 55.20$ 114,820
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Nonmetropolitan areas with the highest employment in Labor Relations Specialists:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Northeastern Wisconsin nonmetropolitan area 250 1.28 3.10$ 35.38$ 73,590
Northern Indiana nonmetropolitan area 220 1.02 2.47$ 37.95$ 78,940
North Northeastern Ohio nonmetropolitan area (noncontiguous) 160 0.49 1.19$ 38.84$ 80,790
West Northwestern Ohio nonmetropolitan area 160 0.64 1.54$ 38.99$ 81,090
Southwest New York nonmetropolitan area 130 0.79 1.92$ 46.75$ 97,240
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Nonmetropolitan areas with the highest concentration of jobs and location quotients in Labor Relations Specialists:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Northeastern Wisconsin nonmetropolitan area 250 1.28 3.10$ 35.38$ 73,590
Northern Indiana nonmetropolitan area 220 1.02 2.47$ 37.95$ 78,940
Southwest New York nonmetropolitan area 130 0.79 1.92$ 46.75$ 97,240
Central Indiana nonmetropolitan area 120 0.79 1.91$ 34.89$ 72,570
Central New Hampshire nonmetropolitan area 60 0.68 1.64$ 45.33$ 94,280
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Top paying nonmetropolitan areas for Labor Relations Specialists:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Capital/Northern New York nonmetropolitan area 40 0.31 0.75$ 50.62$ 105,280
Northern Vermont nonmetropolitan area 40 0.60 1.46$ 49.20$ 102,330
Western Pennsylvania nonmetropolitan area 90 0.63 1.52$ 48.82$ 101,550
Southwest Maine nonmetropolitan area 120 0.63 1.52$ 47.96$ 99,760
Coast Oregon nonmetropolitan area 30 0.28 0.67$ 47.81$ 99,440
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\n", + "

About May 2023 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia.\n", + "The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

\n", + "

The percentile wage estimate is the value of a wage below which a certain percent of workers fall.\n", + " The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median.\n", + " More about percentile wages.

\n", + "
\n", + "

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

\n", + "

(2) Annual wages have been calculated by multiplying the hourly mean wage by a \"year-round, full-time\" hours figure of 2,080 hours;\n", + "for those occupations where there is not an hourly wage published, the annual wage has been directly calculated from the reported survey data.

\n", + "

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

\n", + "

(7) The value is less than .005 percent of industry employment.

\n", + "

(9) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration.\n", + "A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

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\n", + "

Other OEWS estimates and related information:

\n", + "

May 2023 National Occupational Employment and Wage Estimates

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May 2023 State Occupational Employment and Wage Estimates

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May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

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May 2023 National Industry-Specific Occupational Employment and Wage Estimates

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May 2023 Occupation Profiles

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Technical Notes

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Last Modified Date: April 3, 2024

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Recommend this page using:
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Occupational Employment and Wage Statistics
SHARE ON:\"share\"share\"share
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Occupational Employment and Wages, May 2023

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25-1066 Psychology Teachers, Postsecondary

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Teach courses in psychology, such as child, clinical, and developmental psychology, and psychological counseling. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

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\n", + "National estimates for Psychology Teachers, Postsecondary
\n", + "Industry profile for Psychology Teachers, Postsecondary
\n", + "Geographic profile for Psychology Teachers, Postsecondary
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National estimates for Psychology Teachers, Postsecondary:

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Employment estimate and mean wage estimates for Psychology Teachers, Postsecondary:

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Employment (1) Employment
RSE (3) 		Mean hourly
wage		Mean annual
wage (2) 		Mean wage
RSE (3)
40,610 1.2 %(4)$ 93,990 0.5 %
\n", + "

Percentile wage estimates for Psychology Teachers, Postsecondary:

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Percentile 10% 25% 50%
(Median) 		75% 90%
Annual Wage (2) $ 49,790$ 62,980$ 82,140$ 106,610$ 151,890
\n", + "  (4)\n", + "
\n", + "
\n", + "

Industry profile for Psychology Teachers, Postsecondary:

\n", + "

Industries with the highest published employment and wages for Psychology Teachers, Postsecondary are provided.\n", + "For a list of all industries with employment in Psychology Teachers, Postsecondary, see the Create Customized Tables function.

\n", + "

Industries with the highest levels of employment in Psychology Teachers, Postsecondary:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Colleges, Universities, and Professional Schools 33,380 1.08(4) $ 94,610
Junior Colleges 6,950 1.11(4) $ 90,870
Technical and Trade Schools 120 0.09(4) $ 90,930
\n", + "

Industries with the highest concentration of employment in Psychology Teachers, Postsecondary:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Junior Colleges 6,950 1.11(4) $ 90,870
Colleges, Universities, and Professional Schools 33,380 1.08(4) $ 94,610
Technical and Trade Schools 120 0.09(4) $ 90,930
\n", + "

Top paying industries for Psychology Teachers, Postsecondary:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Colleges, Universities, and Professional Schools 33,380 1.08(4) $ 94,610
Technical and Trade Schools 120 0.09(4) $ 90,930
Junior Colleges 6,950 1.11(4) $ 90,870
\n", + "
\n", + "
\n", + "

Geographic profile for Psychology Teachers, Postsecondary:

\n", + "

States and areas with the highest published employment, location quotients, and wages for Psychology Teachers, Postsecondary are provided.\n", + "For a list of all areas with employment in Psychology Teachers, Postsecondary, see the Create Customized Tables function.

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\n", + "
\n", + "
\n", + "
\n", + "

States with the highest employment level in Psychology Teachers, Postsecondary:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 5,970 0.33 1.24(4) $ 109,490
New York 3,730 0.40 1.49(4) $ 112,650
Pennsylvania 2,520 0.42 1.59(4) $ 86,910
Texas 2,470 0.18 0.68(4) $ 90,080
Florida 2,220 0.23 0.87(4) $ 85,340
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\n", + "\"Location\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

States with the highest concentration of jobs and location quotients in Psychology Teachers, Postsecondary:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Hawaii 330 0.54 2.02(4) $ 58,970
Massachusetts 1,600 0.44 1.64(4) $ 104,100
Pennsylvania 2,520 0.42 1.59(4) $ 86,910
New York 3,730 0.40 1.49(4) $ 112,650
Colorado 1,030 0.36 1.36(4) $ 79,560
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\n", + "\"Annual\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Top paying states for Psychology Teachers, Postsecondary:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Maryland 550 0.20 0.76(4) $ 117,290
New Jersey 1,370 0.33 1.22(4) $ 112,670
New York 3,730 0.40 1.49(4) $ 112,650
Oregon 440 0.23 0.85(4) $ 109,600
California 5,970 0.33 1.24(4) $ 109,490
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Metropolitan areas with the highest employment level in Psychology Teachers, Postsecondary:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York-Newark-Jersey City, NY-NJ-PA 3,510 0.37 1.38(4) $ 122,160
Los Angeles-Long Beach-Anaheim, CA 2,350 0.38 1.42(4) $ 104,820
Chicago-Naperville-Elgin, IL-IN-WI 1,380 0.31 1.14(4) $ 86,390
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 1,130 0.40 1.50(4) $ 95,720
Boston-Cambridge-Nashua, MA-NH 1,070 0.39 1.45(4) $ 105,600
Phoenix-Mesa-Scottsdale, AZ 840 0.37 1.37(4) $ 86,840
San Francisco-Oakland-Hayward, CA 750 0.31 1.16(4) $ 123,200
San Jose-Sunnyvale-Santa Clara, CA 700 0.61 2.28(4) $ 98,220
Seattle-Tacoma-Bellevue, WA 590 0.28 1.05(4) $ 80,470
Dallas-Fort Worth-Arlington, TX 580 0.15 0.55(4) $ 87,450
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Metropolitan areas with the highest concentration of jobs and location quotients in Psychology Teachers, Postsecondary:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Ithaca, NY 160 3.43 12.82(4) $ 98,620
Harrisonburg, VA 100 1.48 5.55(4) $ 84,520
Columbia, MO 130 1.29 4.83(4) $ 84,640
Auburn-Opelika, AL 80 1.19 4.45(4) $ 113,110
Mankato-North Mankato, MN 50 0.99 3.70(4) $ 116,170
Champaign-Urbana, IL 90 0.90 3.35(4) $ 112,980
Springfield, MA-CT 270 0.84 3.16(4) $ 99,730
Blacksburg-Christiansburg-Radford, VA 60 0.84 3.15(4) $ 100,930
Tuscaloosa, AL 80 0.77 2.90(4) $ 84,030
Urban Honolulu, HI 320 0.74 2.76(4) $ 58,890
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Top paying metropolitan areas for Psychology Teachers, Postsecondary:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Ann Arbor, MI 140 0.65 2.43(4) $ 149,160
New Haven, CT 150 0.51 1.91(4) $ 126,130
Riverside-San Bernardino-Ontario, CA 380 0.23 0.85(4) $ 124,200
San Francisco-Oakland-Hayward, CA 750 0.31 1.16(4) $ 123,200
New York-Newark-Jersey City, NY-NJ-PA 3,510 0.37 1.38(4) $ 122,160
Santa Rosa, CA 60 0.31 1.16(4) $ 119,900
Madison, WI 70 0.18 0.68(4) $ 119,750
San Diego-Carlsbad, CA 490 0.32 1.20(4) $ 118,830
Portland-Vancouver-Hillsboro, OR-WA 270 0.22 0.83(4) $ 118,580
Augusta-Richmond County, GA-SC 70 0.31 1.17(4) $ 118,390
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Nonmetropolitan areas with the highest employment in Psychology Teachers, Postsecondary:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Northwest Oklahoma nonmetropolitan area 120 1.28 4.78(4) $ 82,570
Northeast Mississippi nonmetropolitan area 110 0.50 1.87(4) $ 69,810
Mountain North Carolina nonmetropolitan area 100 0.76 2.84(4) $ 76,980
Balance of Lower Peninsula of Michigan nonmetropolitan area 90 0.36 1.34(4) $ 95,120
South Central Kentucky nonmetropolitan area 90 0.51 1.92(4) $ 71,060
\n", + "

Nonmetropolitan areas with the highest concentration of jobs and location quotients in Psychology Teachers, Postsecondary:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Northwest Oklahoma nonmetropolitan area 120 1.28 4.78(4) $ 82,570
Eastern and Southern Colorado nonmetropolitan area 70 1.06 3.95(4) $ 75,000
Mountain North Carolina nonmetropolitan area 100 0.76 2.84(4) $ 76,980
Massachusetts nonmetropolitan area 40 0.66 2.45(4) $ 89,800
Eastern Washington nonmetropolitan area 60 0.54 2.01(4) $ 69,140
\n", + "

Top paying nonmetropolitan areas for Psychology Teachers, Postsecondary:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Upper Peninsula of Michigan nonmetropolitan area 30 0.32 1.19(4) $ 114,530
Hill Country Region of Texas nonmetropolitan area 50 0.23 0.85(4) $ 100,450
West Central-Southwest New Hampshire nonmetropolitan area (8) (8) (8) (4) $ 98,860
Southern Pennsylvania nonmetropolitan area 40 0.21 0.80(4) $ 98,100
Balance of Lower Peninsula of Michigan nonmetropolitan area 90 0.36 1.34(4) $ 95,120
\n", + "
\n", + "

About May 2023 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia.\n", + "The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

\n", + "

The percentile wage estimate is the value of a wage below which a certain percent of workers fall.\n", + " The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median.\n", + " More about percentile wages.

\n", + "
\n", + "

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

\n", + "

(2) Annual wages have been calculated by multiplying the hourly mean wage by a \"year-round, full-time\" hours figure of 2,080 hours;\n", + "for those occupations where there is not an hourly wage published, the annual wage has been directly calculated from the reported survey data.

\n", + "

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

\n", + "

(4) Wages for some occupations that do not generally work year-round, full time, are reported either as hourly wages or annual salaries\n", + "depending on how they are typically paid.

\n", + "

(8) Estimate not released.

\n", + "

(9) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration.\n", + "A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

\n", + "
\n", + "

Other OEWS estimates and related information:

\n", + "

May 2023 National Occupational Employment and Wage Estimates

\n", + "

May 2023 State Occupational Employment and Wage Estimates

\n", + "

May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

May 2023 National Industry-Specific Occupational Employment and Wage Estimates

\n", + "

May 2023 Occupation Profiles

\n", + "

Technical Notes

\n", + "

 

\n", + "

Last Modified Date: April 3, 2024

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Recommend this page using:
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Psychology\n", + "Processing job: Comparative Psychologist in category: Psychology\n", + "Processing job: Consulting Psychologist in category: Psychology\n", + "Processing job: Consumer Psychologist in category: Psychology\n", + "Processing job: Counseling Psychologist in category: Psychology\n", + "Processing job: Criminal Psychologist in category: Psychology\n", + "Processing job: Cross Cultural Psychologist in category: Psychology\n", + "Processing job: Developmental Psychologist in category: Psychology\n", + "Processing job: Educational Psychologist in category: Psychology\n", + "Processing job: Engineering, Human Factors, or Ergonomic Psychologist in category: Psychology\n", + "Processing job: Environmental or Conservation Psychologist in category: Psychology\n", + "Processing job: Evolutionary Psychologist in category: Psychology\n", + "Processing job: Existential Psychologist in category: Psychology\n", + "Processing job: Experimental or Research Psychologist in category: Psychology\n", + "Processing job: Forensic Psychologist in category: Psychology\n", + "Processing job: Gender Psychologist in category: Psychology\n", + "Processing job: Geriatric Psychologist or Geropsychologist in category: Psychology\n", + "Processing job: Health Psychologist in category: Psychology\n", + "Processing job: Humanistic Psychologist in category: Psychology\n", + "Processing job: Industrial / Organizational Psychologist in category: Psychology\n", + "Processing job: Legal Psychologist in category: Psychology\n", + "Processing job: Occupational Health Psychologist in category: Psychology\n", + "Processing job: Operational Psychologist in category: Psychology\n", + "Processing job: Media Psychologist in category: Psychology\n", + "Processing job: Military Psychologist in category: Psychology\n", + "Processing job: Music Psychologist in category: Psychology\n", + "Processing job: Navy Clinical Psychologist in category: Psychology\n", + "Processing job: Navy Research Psychologist in category: Psychology\n", + "Processing job: Neuropsychologist in category: Psychology\n", + "Processing job: Pediatric Psychologist in category: Psychology\n", + "Processing job: Personality Psychologist in category: Psychology\n", + "Processing job: Performance Psychologist in category: Psychology\n", + "Processing job: Positive Psychologist in category: Psychology\n", + "Processing job: Psychoanalyst in category: Psychology\n", + "Processing job: Physiological Psychologist in category: Psychology\n", + "Processing job: Political Psychologist in category: Psychology\n", + "Processing job: Public Health Psychologist in category: Psychology\n", + "Processing job: Psychometrist in category: Psychology\n", + "Processing job: Rehabilitation Psychologist in category: Psychology\n", + "Processing job: Religion Psychologist in category: Psychology\n", + "Processing job: School Psychologist in category: Psychology\n", + "Processing job: Social Psychologist in category: Psychology\n", + "Processing job: Spiritual Psychologist in category: Psychology\n", + "Processing job: Sport Psychologist in category: Psychology\n", + "Processing job: Traffic Psychologist in category: Psychology\n", + "Processing job: Transpersonal Psychology in category: Psychology\n", + "Processing job: Quantitative or Mathematical Psychologist in category: Psychology\n", + "Processing job: Vocational Psychologist in category: Psychology\n", + "Progress saved: 10 job categories processed.\n", + "Processing job: Youth Minister in category: Religion and Spirituality\n", + "Processing job: Christian Psychologist in category: Religion and Spirituality\n", + "Processing job: Military Chaplin in category: Religion and Spirituality\n", + "Processing job: Minister, Preacher, Priest, Rabbi, Chaplain, etc. in category: Religion and Spirituality\n", + "Processing job: Pastoral Counselor in category: Religion and Spirituality\n", + "Processing job: Religion Psychologist in category: Religion and Spirituality\n", + "Processing job: Spiritual Psychologist in category: Religion and Spirituality\n", + "Processing job: Spiritual or Meditative Counselor in category: Religion and Spirituality\n", + "Processing job: Transpersonal Psychologist in category: Religion and Spirituality\n", + "Progress saved: 11 job categories processed.\n", + "Processing job: Caseworker or Case Manager in category: Social and Human Services\n", + "Processing job: Child Welfare, Protection, or Placement Caseworker in category: Social and Human Services\n", + "Processing job: Child Placement Social Worker in category: Social and Human Services\n", + "Processing job: Child Protection or Welfare Social Worker in category: Social and Human Services\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/community-and-social-service/social-workers.htm\n", + "Processing job: Community Organization Worker in category: Social and Human Services\n", + "Processing job: Community Worker in category: Social and Human Services\n", + "Processing job: Crisis Intervention Counselor in category: Social and Human Services\n", + "Processing job: Disability Policy Worker in category: Social and Human Services\n", + "Processing job: Disability Case Manager in category: Social and Human Services\n", + "Processing job: Disability Support Worker in category: Social and Human Services\n", + "Processing job: Geriatric Social Worker in category: Social and Human Services\n", + "Processing job: Group Worker in category: Social and Human Services\n", + "Processing job: Social and Human Services Aide or Assistant in category: Social and Human Services\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/community-and-social-service/social-and-human-service-assistants.htm\n", + "Processing job: Clinical Social Worker in category: Social and Human Services\n", + "Processing job: Medical / Healthcare Social Worker in category: Social and Human Services\n", + "Scraping Quick Facts from: http://www.bls.gov/oes/current/oes211022.htm\n", + "Error: Unable to find the Quick Facts table at http://www.bls.gov/oes/current/oes211022.htm. Exception: Message: no such element: Unable to locate element: {\"method\":\"css selector\",\"selector\":\"[id=\"quickfacts\"]\"}\n", + " (Session info: MicrosoftEdge=130.0.2849.46); For documentation on this error, please visit: https://www.selenium.dev/documentation/webdriver/troubleshooting/errors#no-such-element-exception\n", + "Stacktrace:\n", + "\tGetHandleVerifier [0x00007FF69682DC75+12853]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF696AD83C4+2250276]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF696A176A6+1460486]\n", + "\t(No symbol) [0x00007FF6966297CC]\n", + "\t(No symbol) [0x00007FF69662990C]\n", + "\t(No symbol) [0x00007FF696663857]\n", + "\t(No symbol) [0x00007FF69664853F]\n", + "\t(No symbol) [0x00007FF696620617]\n", + "\t(No symbol) [0x00007FF696661431]\n", + "\t(No symbol) [0x00007FF696648163]\n", + "\t(No symbol) [0x00007FF69661FB54]\n", + "\t(No symbol) [0x00007FF69661F000]\n", + "\t(No symbol) [0x00007FF69661F741]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF6969ACDB4+1024020]\n", + "\tMicrosoft::Applications::Events::EventProperty::~EventProperty [0x00007FF696749A04+57108]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF6969ABDB3+1019923]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF6969ABA19+1019001]\n", + "\tMicrosoft::Applications::Events::ILogConfiguration::operator* [0x00007FF6967CE031+394913]\n", + "\tMicrosoft::Applications::Events::ILogConfiguration::operator* [0x00007FF6967CA954+380868]\n", + "\tMicrosoft::Applications::Events::ILogConfiguration::operator* [0x00007FF6967CAA99+381193]\n", + "\tMicrosoft::Applications::Events::ILogConfiguration::operator* [0x00007FF6967C2296+346374]\n", + "\tBaseThreadInitThunk [0x00007FF8A22F1FD7+23]\n", + "\tRtlUserThreadStart [0x00007FF8A2C5D7D0+32]\n", + "\n", + "HTML content of the page:\n", + "\n", + "\n", + "\n", + "Healthcare Social Workers\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + " \n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + " \n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\t\n", + " \n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\t\n", + "\n", + "
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Occupational Employment and Wage Statistics
SHARE ON:\"share\"share\"share
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\t\t\t\t\t\n", + "\n", + "\n", + "

Occupational Employment and Wages, May 2023

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21-1022 Healthcare Social Workers

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Provide individuals, families, and groups with the psychosocial support needed to cope with chronic, acute, or terminal illnesses. Services include advising family caregivers. Provide patients with information and counseling, and make referrals for other services. May also provide case and care management or interventions designed to promote health, prevent disease, and address barriers to access to healthcare.

\n", + "

\n", + "

\n", + "National estimates for Healthcare Social Workers
\n", + "Industry profile for Healthcare Social Workers
\n", + "Geographic profile for Healthcare Social Workers
\n", + "

\n", + "

National estimates for Healthcare Social Workers:

\n", + "

Employment estimate and mean wage estimates for Healthcare Social Workers:

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
Employment (1) Employment
RSE (3) 		Mean hourly
wage		Mean annual
wage (2) 		Wage RSE (3)
185,020 1.0 %$ 32.42$ 67,430 0.5 %
\n", + "

Percentile wage estimates for Healthcare Social Workers:

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Percentile 10% 25% 50%
(Median) 		75% 90%
Hourly Wage $ 20.12$ 24.13$ 30.26$ 37.84$ 47.01
Annual Wage (2) $ 41,840$ 50,190$ 62,940$ 78,710$ 97,790
\n", + "
\n", + "
\n", + "

Industry profile for Healthcare Social Workers:

\n", + "

Industries with the highest published employment and wages for Healthcare Social Workers are provided.\n", + "For a list of all industries with employment in Healthcare Social Workers, see the Create Customized Tables function.

\n", + "

Industries with the highest levels of employment in Healthcare Social Workers:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
General Medical and Surgical Hospitals 45,010 0.79$ 36.79$ 76,520
Home Health Care Services 24,740 1.54$ 35.09$ 72,990
Individual and Family Services 23,700 0.79$ 26.72$ 55,590
Nursing Care Facilities (Skilled Nursing Facilities) 14,950 1.08$ 28.00$ 58,230
Outpatient Care Centers 12,250 1.15$ 35.69$ 74,240
\n", + "

Industries with the highest concentration of employment in Healthcare Social Workers:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Home Health Care Services 24,740 1.54$ 35.09$ 72,990
Psychiatric and Substance Abuse Hospitals 3,280 1.40$ 34.87$ 72,530
Outpatient Care Centers 12,250 1.15$ 35.69$ 74,240
Nursing Care Facilities (Skilled Nursing Facilities) 14,950 1.08$ 28.00$ 58,230
Community Food and Housing, and Emergency and Other Relief Services 2,240 1.03$ 23.88$ 49,660
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Top paying industries for Healthcare Social Workers:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Specialty (except Psychiatric and Substance Abuse) Hospitals 2,770 0.97$ 38.06$ 79,160
Child Care Services 190 0.02$ 37.21$ 77,390
General Medical and Surgical Hospitals 45,010 0.79$ 36.79$ 76,520
Outpatient Care Centers 12,250 1.15$ 35.69$ 74,240
Scientific Research and Development Services 180 0.02$ 35.50$ 73,830
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\n", + "

Geographic profile for Healthcare Social Workers:

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States and areas with the highest published employment, location quotients, and wages for Healthcare Social Workers are provided.\n", + "For a list of all areas with employment in Healthcare Social Workers, see the Create Customized Tables function.

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\n", + "\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Puerto\n", + "\"Wyoming\n",\n", + "\"Wisconsin\n",\n", + "\"Wisconsin\n",\n", + "\"West\n", + "\"Washington\n",\n", + "\"Virginia\n",\n", + "\"Virginia\n",\n", + "\"Vermont\n",\n", + "\"Utah\n",\n", + "\"Texas\n",\n", + "\"Texas\n",\n", + "\"Tennessee\n",\n", + "\"South\n", + "\"South\n", + "\"Rhode\n", + "\"Rhode\n", + "\"Pennsylvania\n",\n", + "\"Oregon\n",\n", + "\"Oklahoma\n",\n", + "\"Ohio\n",\n", + "\"North\n", + "\"North\n", + "\"North\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"New\n", + "\"Nevada\n",\n", + "\"Nebraska\n",\n", + "\"Montana\n",\n", + "\"Missouri\n",\n", + "\"Mississippi\n",\n", + "\"Minnesota\n",\n", + "\"Michigan\n",\n", + "\"Michigan\n",\n", + "\"Massachusetts\n",\n", + "\"Maryland\n",\n", + "\"Maine\n",\n", + "\"Maine\n",\n", + "\"Louisiana\n",\n", + "\"Kentucky\n",\n", + "\"Kansas\n",\n", + "\"Iowa\n",\n", + "\"Indiana\n",\n", + "\"Illinois\n",\n", + "\"Idaho\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Hawaii\n",\n", + "\"Georgia\n",\n", + "\"Florida\n",\n", + "\"District\n", + "\"Delaware\n",\n", + "\"Connecticut\n",\n", + "\"Colorado\n",\n", + "\"California\n",\n", + "\"Arkansas\n",\n", + "\"Arizona\n",\n", + "\"Alaska\n",\n", + "\"Alabama\n",\n", + "\n", + "
\n", + "\"Employment\n", + "
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States with the highest employment level in Healthcare Social Workers:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York 24,900 2.65 2.18$ 30.79$ 64,050
California 19,660 1.10 0.90$ 44.81$ 93,200
Texas 11,590 0.85 0.70$ 30.83$ 64,120
Florida 9,910 1.04 0.85$ 30.29$ 62,990
Ohio 8,260 1.51 1.24$ 31.08$ 64,650
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States with the highest concentration of jobs and location quotients in Healthcare Social Workers:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York 24,900 2.65 2.18$ 30.79$ 64,050
Massachusetts 8,120 2.23 1.83$ 33.54$ 69,770
Tennessee 6,630 2.06 1.69$ 27.79$ 57,810
Missouri 5,430 1.89 1.55$ 25.51$ 53,060
Maryland 4,430 1.65 1.36$ 31.26$ 65,030
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Top paying states for Healthcare Social Workers:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 19,660 1.10 0.90$ 44.81$ 93,200
District of Columbia 460 0.65 0.54$ 42.24$ 87,860
New Jersey 3,730 0.89 0.73$ 39.43$ 82,010
Oregon 2,180 1.12 0.92$ 39.13$ 81,390
Connecticut 2,170 1.31 1.07$ 38.16$ 79,360
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Metropolitan areas with the highest employment level in Healthcare Social Workers:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York-Newark-Jersey City, NY-NJ-PA 20,340 2.14 1.76$ 33.59$ 69,870
Los Angeles-Long Beach-Anaheim, CA 8,250 1.33 1.09$ 45.21$ 94,040
Boston-Cambridge-Nashua, MA-NH 5,910 2.14 1.76$ 34.36$ 71,470
Atlanta-Sandy Springs-Roswell, GA 3,470 1.23 1.01$ 30.24$ 62,900
Seattle-Tacoma-Bellevue, WA 3,190 1.53 1.26$ 35.74$ 74,330
Chicago-Naperville-Elgin, IL-IN-WI 3,130 0.69 0.57$ 32.45$ 67,490
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 3,040 1.07 0.88$ 32.72$ 68,070
Houston-The Woodlands-Sugar Land, TX 3,000 0.94 0.77$ 31.42$ 65,360
Dallas-Fort Worth-Arlington, TX 2,970 0.75 0.62$ 32.96$ 68,560
Miami-Fort Lauderdale-West Palm Beach, FL 2,840 1.04 0.86$ 31.68$ 65,900
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Metropolitan areas with the highest concentration of jobs and location quotients in Healthcare Social Workers:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Watertown-Fort Drum, NY 150 3.88 3.18$ 23.63$ 49,150
Binghamton, NY 330 3.46 2.84$ 24.93$ 51,860
Rochester, NY 1,700 3.44 2.82$ 24.15$ 50,230
Jackson, TN 230 3.29 2.70$ 27.53$ 57,260
Glens Falls, NY 160 3.22 2.65$ 27.45$ 57,100
La Crosse-Onalaska, WI-MN 230 3.11 2.56$ 29.50$ 61,360
Pittsfield, MA 120 3.07 2.52$ 31.94$ 66,430
Johnson City, TN 250 3.02 2.48$ 25.43$ 52,890
Cape Girardeau, MO-IL 130 2.89 2.38$ 24.46$ 50,880
Chattanooga, TN-GA 750 2.85 2.34$ 25.18$ 52,370
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\n", + "\"Annual\n", + "
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\n", + "
\n", + "

Top paying metropolitan areas for Healthcare Social Workers:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Napa, CA (8) (8) (8) $ 55.72$ 115,890
San Jose-Sunnyvale-Santa Clara, CA 870 0.76 0.63$ 53.00$ 110,250
San Luis Obispo-Paso Robles-Arroyo Grande, CA (8) (8) (8) $ 49.51$ 102,980
San Francisco-Oakland-Hayward, CA 2,480 1.02 0.84$ 49.41$ 102,770
Vallejo-Fairfield, CA 150 1.11 0.91$ 49.05$ 102,030
Santa Rosa, CA 200 0.96 0.79$ 45.86$ 95,380
Modesto, CA 210 1.10 0.90$ 45.28$ 94,180
Los Angeles-Long Beach-Anaheim, CA 8,250 1.33 1.09$ 45.21$ 94,040
Chico, CA 100 1.30 1.06$ 44.98$ 93,560
Fresno, CA 510 1.24 1.02$ 44.72$ 93,010
\n", + "

Nonmetropolitan areas with the highest employment in Healthcare Social Workers:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Central East New York nonmetropolitan area 460 2.91 2.39$ 26.31$ 54,720
Capital/Northern New York nonmetropolitan area 410 2.95 2.42$ 28.54$ 59,350
Southern Ohio nonmetropolitan area 410 2.56 2.10$ 29.93$ 62,250
Kansas nonmetropolitan area 390 1.00 0.82$ 25.77$ 53,600
Southeast Missouri nonmetropolitan area 330 2.01 1.65$ 23.61$ 49,110
\n", + "

Nonmetropolitan areas with the highest concentration of jobs and location quotients in Healthcare Social Workers:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Maryland nonmetropolitan area 180 3.03 2.49$ 26.98$ 56,130
Capital/Northern New York nonmetropolitan area 410 2.95 2.42$ 28.54$ 59,350
Central East New York nonmetropolitan area 460 2.91 2.39$ 26.31$ 54,720
Northwestern Wisconsin nonmetropolitan area 130 2.69 2.20$ 26.66$ 55,450
Southern Ohio nonmetropolitan area 410 2.56 2.10$ 29.93$ 62,250
\n", + "

Top paying nonmetropolitan areas for Healthcare Social Workers:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
North Valley-Northern Mountains Region of California nonmetropolitan area 110 1.06 0.87$ 41.71$ 86,750
Eastern Oregon nonmetropolitan area 70 0.92 0.75$ 38.81$ 80,720
Coast Oregon nonmetropolitan area 120 1.09 0.89$ 38.05$ 79,150
North Coast Region of California nonmetropolitan area 150 1.46 1.20$ 37.88$ 78,790
Connecticut nonmetropolitan area 50 1.53 1.26$ 37.01$ 76,980
\n", + "
\n", + "

About May 2023 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia.\n", + "The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

\n", + "

The percentile wage estimate is the value of a wage below which a certain percent of workers fall.\n", + " The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median.\n", + " More about percentile wages.

\n", + "
\n", + "

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

\n", + "

(2) Annual wages have been calculated by multiplying the hourly mean wage by a \"year-round, full-time\" hours figure of 2,080 hours;\n", + "for those occupations where there is not an hourly wage published, the annual wage has been directly calculated from the reported survey data.

\n", + "

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

\n", + "

(8) Estimate not released.

\n", + "

(9) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration.\n", + "A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

\n", + "
\n", + "

Other OEWS estimates and related information:

\n", + "

May 2023 National Occupational Employment and Wage Estimates

\n", + "

May 2023 State Occupational Employment and Wage Estimates

\n", + "

May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

May 2023 National Industry-Specific Occupational Employment and Wage Estimates

\n", + "

May 2023 Occupation Profiles

\n", + "

Technical Notes

\n", + "

 

\n", + "

Last Modified Date: April 3, 2024

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Recommend this page using:
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Occupational Employment and Wage Statistics
SHARE ON:\"share\"share\"share
\n", + "\n", + "
\n", + "\n", + "
\n", + "
\t\t\t\t\t\n", + "\n", + "\n", + "

Occupational Employment and Wages, May 2023

\n", + "

25-1113 Social Work Teachers, Postsecondary

\n", + "

Teach courses in social work. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

\n", + "

\n", + "

\n", + "National estimates for Social Work Teachers, Postsecondary
\n", + "Industry profile for Social Work Teachers, Postsecondary
\n", + "Geographic profile for Social Work Teachers, Postsecondary
\n", + "

\n", + "

National estimates for Social Work Teachers, Postsecondary:

\n", + "

Employment estimate and mean wage estimates for Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
Employment (1) Employment
RSE (3) 		Mean hourly
wage		Mean annual
wage (2) 		Mean wage
RSE (3)
11,730 1.1 %(4)$ 80,840 1.0 %
\n", + "

Percentile wage estimates for Social Work Teachers, Postsecondary:

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "
Percentile 10% 25% 50%
(Median) 		75% 90%
Annual Wage (2) $ 46,790$ 53,640$ 75,020$ 96,670$ 127,760
\n", + "  (4)\n", + "
\n", + "
\n", + "

Industry profile for Social Work Teachers, Postsecondary:

\n", + "

Industries with the highest published employment and wages for Social Work Teachers, Postsecondary are provided.\n", + "For a list of all industries with employment in Social Work Teachers, Postsecondary, see the Create Customized Tables function.

\n", + "

Industries with the highest levels of employment in Social Work Teachers, Postsecondary:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Colleges, Universities, and Professional Schools 11,020 0.36(4) $ 81,100
Junior Colleges 690 0.11(4) $ 76,680
\n", + "

Industries with the highest concentration of employment in Social Work Teachers, Postsecondary:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Colleges, Universities, and Professional Schools 11,020 0.36(4) $ 81,100
Junior Colleges 690 0.11(4) $ 76,680
\n", + "

Top paying industries for Social Work Teachers, Postsecondary:

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Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Colleges, Universities, and Professional Schools 11,020 0.36(4) $ 81,100
Junior Colleges 690 0.11(4) $ 76,680
\n", + "
\n", + "
\n", + "

Geographic profile for Social Work Teachers, Postsecondary:

\n", + "

States and areas with the highest published employment, location quotients, and wages for Social Work Teachers, Postsecondary are provided.\n", + "For a list of all areas with employment in Social Work Teachers, Postsecondary, see the Create Customized Tables function.

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\n", + "\"Employment\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

States with the highest employment level in Social Work Teachers, Postsecondary:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York 1,430 0.15 1.98(4) $ 96,130
Illinois 870 0.14 1.88(4) $ 80,560
Ohio 750 0.14 1.77(4) $ 74,790
Pennsylvania 660 0.11 1.43(4) $ 82,640
North Carolina 630 0.13 1.70(4) $ 71,260
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\n", + "\"Location\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

States with the highest concentration of jobs and location quotients in Social Work Teachers, Postsecondary:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New Mexico 260 0.31 4.01(4) $ 60,870
Hawaii 170 0.27 3.48(4) $ 122,940
South Dakota 90 0.21 2.69(4) $ 67,100
New York 1,430 0.15 1.98(4) $ 96,130
Illinois 870 0.14 1.88(4) $ 80,560
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\n", + "\"Annual\n", + "
\n", + "
\n", + "
\n", + "
\n", + "

Top paying states for Social Work Teachers, Postsecondary:

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State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 70 0.00 0.05(4) $ 141,870
Hawaii 170 0.27 3.48(4) $ 122,940
Maryland 130 0.05 0.63(4) $ 96,170
New York 1,430 0.15 1.98(4) $ 96,130
Massachusetts 410 0.11 1.47(4) $ 95,220
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\n", + "

Metropolitan areas with the highest employment level in Social Work Teachers, Postsecondary:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
New York-Newark-Jersey City, NY-NJ-PA 1,140 0.12 1.55(4) $ 103,220
Chicago-Naperville-Elgin, IL-IN-WI 650 0.14 1.86(4) $ 74,770
Phoenix-Mesa-Scottsdale, AZ 320 0.14 1.81(4) $ 79,000
Boston-Cambridge-Nashua, MA-NH 290 0.10 1.34(4) $ 98,100
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 270 0.09 1.22(4) $ 83,970
Minneapolis-St. Paul-Bloomington, MN-WI 230 0.12 1.56(4) $ 81,390
Washington-Arlington-Alexandria, DC-VA-MD-WV 210 0.07 0.90(4) $ 90,560
Indianapolis-Carmel-Anderson, IN 210 0.20 2.52(4) $ 76,340
Seattle-Tacoma-Bellevue, WA 200 0.09 1.23(4) $ 85,650
Columbus, OH 190 0.18 2.32(4) $ 76,040
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Metropolitan areas with the highest concentration of jobs and location quotients in Social Work Teachers, Postsecondary:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Ann Arbor, MI 150 0.68 8.75(4) $ 104,390
Duluth, MN-WI 40 0.35 4.49(4) $ 59,750
Rochester, NY 160 0.33 4.27(4) $ 62,950
Durham-Chapel Hill, NC 90 0.27 3.52(4) $ 91,510
Buffalo-Cheektowaga-Niagara Falls, NY 140 0.27 3.49(4) $ 69,670
Richmond, VA 170 0.26 3.36(4) $ 74,710
Scranton--Wilkes-Barre--Hazleton, PA 60 0.24 3.17(4) $ 78,100
Fayetteville-Springdale-Rogers, AR-MO 60 0.24 3.06(4) $ 77,150
Boise City, ID 80 0.22 2.79(4) $ 65,160
Indianapolis-Carmel-Anderson, IN 210 0.20 2.52(4) $ 76,340
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\n", + "

Top paying metropolitan areas for Social Work Teachers, Postsecondary:

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Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Los Angeles-Long Beach-Anaheim, CA 50 0.01 0.10(4) $ 138,710
Ann Arbor, MI 150 0.68 8.75(4) $ 104,390
New York-Newark-Jersey City, NY-NJ-PA 1,140 0.12 1.55(4) $ 103,220
Boston-Cambridge-Nashua, MA-NH 290 0.10 1.34(4) $ 98,100
Madison, WI 70 0.19 2.42(4) $ 94,670
Albany-Schenectady-Troy, NY 80 0.18 2.34(4) $ 92,600
Durham-Chapel Hill, NC 90 0.27 3.52(4) $ 91,510
Springfield, MA-CT (8) (8) (8) (4) $ 91,270
Washington-Arlington-Alexandria, DC-VA-MD-WV 210 0.07 0.90(4) $ 90,560
New Haven, CT (8) (8) (8) (4) $ 90,490
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Nonmetropolitan areas with the highest employment in Social Work Teachers, Postsecondary:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Eastern New Mexico nonmetropolitan area 170 1.08 14.02(4) $ 57,660
Mountain North Carolina nonmetropolitan area 80 0.63 8.21(4) $ 77,930
East South Dakota nonmetropolitan area 70 0.54 7.01(4) $ 68,470
Piedmont North Carolina nonmetropolitan area 50 0.21 2.69(4) $ 53,840
Balance of Lower Peninsula of Michigan nonmetropolitan area 50 0.20 2.60(4) $ 87,970
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Nonmetropolitan areas with the highest concentration of jobs and location quotients in Social Work Teachers, Postsecondary:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Eastern New Mexico nonmetropolitan area 170 1.08 14.02(4) $ 57,660
Mountain North Carolina nonmetropolitan area 80 0.63 8.21(4) $ 77,930
Northern New Mexico nonmetropolitan area 40 0.55 7.09(4) $ 56,920
East South Dakota nonmetropolitan area 70 0.54 7.01(4) $ 68,470
Piedmont North Carolina nonmetropolitan area 50 0.21 2.69(4) $ 53,840
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Top paying nonmetropolitan areas for Social Work Teachers, Postsecondary:

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Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Balance of Lower Peninsula of Michigan nonmetropolitan area 50 0.20 2.60(4) $ 87,970
Mountain North Carolina nonmetropolitan area 80 0.63 8.21(4) $ 77,930
Central Kentucky nonmetropolitan area 30 0.16 2.10(4) $ 69,690
East South Dakota nonmetropolitan area 70 0.54 7.01(4) $ 68,470
Southeast Coastal North Carolina nonmetropolitan area 30 0.13 1.71(4) $ 66,350
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\n", + "

About May 2023 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

\n", + "

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia.\n", + "The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

\n", + "

The percentile wage estimate is the value of a wage below which a certain percent of workers fall.\n", + " The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median.\n", + " More about percentile wages.

\n", + "
\n", + "

(1) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.

\n", + "

(2) Annual wages have been calculated by multiplying the hourly mean wage by a \"year-round, full-time\" hours figure of 2,080 hours;\n", + "for those occupations where there is not an hourly wage published, the annual wage has been directly calculated from the reported survey data.

\n", + "

(3) The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

\n", + "

(4) Wages for some occupations that do not generally work year-round, full time, are reported either as hourly wages or annual salaries\n", + "depending on how they are typically paid.

\n", + "

(8) Estimate not released.

\n", + "

(9) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration.\n", + "A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.

\n", + "
\n", + "

Other OEWS estimates and related information:

\n", + "

May 2023 National Occupational Employment and Wage Estimates

\n", + "

May 2023 State Occupational Employment and Wage Estimates

\n", + "

May 2023 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

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May 2023 National Industry-Specific Occupational Employment and Wage Estimates

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May 2023 Occupation Profiles

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Technical Notes

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Last Modified Date: April 3, 2024

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Recommend this page using:
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\n", + "\n", + "\t\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Processing job: Substance Abuse Social Worker in category: Social and Human Services\n", + "Progress saved: 12 job categories processed.\n", + "Processing job: Activities Director in category: Sport, Recreation, and Fitness\n", + "Processing job: Coach / Scout in category: Sport, Recreation, and Fitness\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/entertainment-and-sports/coaches-and-scouts.htm\n", + "Processing job: Fitness Trainer, Personal Trainer, or Aerobics Instructor in category: Sport, Recreation, and Fitness\n", + "Processing job: Fitness and Wellness Coordinator in category: Sport, Recreation, and Fitness\n", + "Processing job: Recreation Leader or Supervisor in category: Sport, Recreation, and Fitness\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/personal-care-and-service/recreation-workers.htm\n", + "Processing job: Recreational Therapist in category: Sport, Recreation, and Fitness\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/healthcare/recreational-therapists.htm\n", + "Processing job: Exercise Therapist in category: Sport, Recreation, and Fitness\n", + "Processing job: Performance Psychologist in category: Sport, Recreation, and Fitness\n", + "Processing job: Sport Psychologist in category: Sport, Recreation, and Fitness\n", + "Progress saved: 13 job categories processed.\n", + "Processing job: Computer Programmer in category: Technology\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/computer-and-information-technology/computer-programmers.htm\n", + "Processing job: Data Base Administrator in category: Technology\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/computer-and-information-technology/database-administrators.htm\n", + "Processing job: Data Base Design Analyst in category: Technology\n", + "Processing job: Software Developer in category: Technology\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm\n", + "Processing job: Systems Analyst in category: Technology\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/computer-and-information-technology/computer-systems-analysts.htm\n", + "Processing job: User Experience Analyst in category: Technology\n", + "Processing job: Human Factors, Usability, or Developmental Engineer in category: Technology\n", + "Scraping Quick Facts from: http://www.bls.gov/careeroutlook/2000/winter/yawhat.pdf\n", + "Error: Unable to find the Quick Facts table at http://www.bls.gov/careeroutlook/2000/winter/yawhat.pdf. Exception: Message: no such element: Unable to locate element: {\"method\":\"css selector\",\"selector\":\"[id=\"quickfacts\"]\"}\n", " (Session info: MicrosoftEdge=130.0.2849.46); For documentation on this error, please visit: https://www.selenium.dev/documentation/webdriver/troubleshooting/errors#no-such-element-exception\n", "Stacktrace:\n", "\tGetHandleVerifier [0x00007FF69682DC75+12853]\n", @@ -3543,19 +221440,94 @@ "\tBaseThreadInitThunk [0x00007FF8A22F1FD7+23]\n", "\tRtlUserThreadStart [0x00007FF8A2C5D7D0+32]\n", "\n", - "Progress saved: 10 job categories processed.\n", - "Processing job: Youth Minister in category: Religion and Spirituality\n", - "Progress saved: 11 job categories processed.\n", - "Processing job: Caseworker or Case Manager in category: Social and Human Services\n", - "Progress saved: 12 job categories processed.\n", - "Processing job: Activities Director in category: Sport, Recreation, and Fitness\n", - "Progress saved: 13 job categories processed.\n", - "Processing job: Computer Programmer in category: Technology\n", + "HTML content of the page:\n", + "\n", + "Processing job: Video Game Designer in category: Technology\n", + "Scraping Quick Facts from: http://www.bls.gov/careeroutlook/2011/fall/art01.pdf\n", + "Error: Unable to find the Quick Facts table at http://www.bls.gov/careeroutlook/2011/fall/art01.pdf. Exception: Message: no such element: Unable to locate element: {\"method\":\"css selector\",\"selector\":\"[id=\"quickfacts\"]\"}\n", + " (Session info: MicrosoftEdge=130.0.2849.46); For documentation on this error, please visit: https://www.selenium.dev/documentation/webdriver/troubleshooting/errors#no-such-element-exception\n", + "Stacktrace:\n", + "\tGetHandleVerifier [0x00007FF69682DC75+12853]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF696AD83C4+2250276]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF696A176A6+1460486]\n", + "\t(No symbol) [0x00007FF6966297CC]\n", + "\t(No symbol) [0x00007FF69662990C]\n", + "\t(No symbol) [0x00007FF696663857]\n", + "\t(No symbol) [0x00007FF69664853F]\n", + "\t(No symbol) [0x00007FF696620617]\n", + "\t(No symbol) [0x00007FF696661431]\n", + "\t(No symbol) [0x00007FF696648163]\n", + "\t(No symbol) [0x00007FF69661FB54]\n", + "\t(No symbol) [0x00007FF69661F000]\n", + "\t(No symbol) [0x00007FF69661F741]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF6969ACDB4+1024020]\n", + "\tMicrosoft::Applications::Events::EventProperty::~EventProperty [0x00007FF696749A04+57108]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF6969ABDB3+1019923]\n", + "\tMicrosoft::Applications::Events::EventProperty::empty [0x00007FF6969ABA19+1019001]\n", + "\tMicrosoft::Applications::Events::ILogConfiguration::operator* [0x00007FF6967CE031+394913]\n", + "\tMicrosoft::Applications::Events::ILogConfiguration::operator* [0x00007FF6967CA954+380868]\n", + "\tMicrosoft::Applications::Events::ILogConfiguration::operator* [0x00007FF6967CAA99+381193]\n", + "\tMicrosoft::Applications::Events::ILogConfiguration::operator* [0x00007FF6967C2296+346374]\n", + "\tBaseThreadInitThunk [0x00007FF8A22F1FD7+23]\n", + "\tRtlUserThreadStart [0x00007FF8A2C5D7D0+32]\n", + "\n", + "HTML content of the page:\n", + "\n", "Progress saved: 14 job categories processed.\n", "Processing job: Occupational Therapist Assistant in category: Therapy\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/healthcare/occupational-therapy-assistants-and-aides.htm\n", + "Processing job: Physical Therapist Assistant in category: Therapy\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/healthcare/physical-therapist-assistants-and-aides.htm\n", + "Processing job: Recreational Therapist in category: Therapy\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/healthcare/recreational-therapists.htm\n", + "Processing job: Applied Behavioral Analysis Therapist in category: Therapy\n", + "Processing job: Art Therapist in category: Therapy\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/healthcare/recreational-therapists.htm\n", + "Processing job: Dialectical Behavioral Therapist in category: Therapy\n", + "Processing job: Existential Therapist in category: Therapy\n", + "Processing job: Holistic Therapist in category: Therapy\n", + "Processing job: Marriage and Family Counselor or Therapist in category: Therapy\n", + "Processing job: Music Therapist in category: Therapy\n", + "Processing job: Occupational Therapist in category: Therapy\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/healthcare/occupational-therapists.htm#tab-1\n", + "Processing job: Outpatient Therapist in category: Therapy\n", + "Processing job: Pediatric Therapist in category: Therapy\n", + "Processing job: Physical Therapist in category: Therapy\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/healthcare/physical-therapists.htm\n", + "Processing job: Primary Therapist in category: Therapy\n", + "Processing job: Psychoanalytic Therapist in category: Therapy\n", + "Processing job: Psychotherapist in category: Therapy\n", + "Processing job: Reality Therapist in category: Therapy\n", + "Processing job: Sex Therapist in category: Therapy\n", + "Processing job: Therapist for the Blind in category: Therapy\n", "Progress saved: 15 job categories processed.\n", "Processing job: Actor in category: Other\n", - "Progress saved: 16 job categories processed.\n" + "Scraping Quick Facts from: http://www.bls.gov/ooh/entertainment-and-sports/actors.htm\n", + "Processing job: Airline Pilot in category: Other\n", + "Processing job: Animal Trainer in category: Other\n", + "Processing job: Choreographer in category: Other\n", + "Scraping Quick Facts from: http://www.bls.gov/OOH/entertainment-and-sports/dancers-and-choreographers.htm\n", + "Processing job: Emergency Management Director/Coordinator in category: Other\n", + "Scraping Quick Facts from: http://www.bls.gov/OOH/management/emergency-management-directors.htm\n", + "Processing job: Flight Attendant in category: Other\n", + "Scraping Quick Facts from: http://www.bls.gov/OOH/transportation-and-material-moving/flight-attendants.htm\n", + "Processing job: Interior Designer in category: Other\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/arts-and-design/interior-designers.htm\n", + "Processing job: Life Coach in category: Other\n", + "Processing job: Meeting, Conference, Wedding, or Event Planner in category: Other\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/business-and-financial/meeting-convention-and-event-planners.htm#tab-1\n", + "Processing job: Photographer in category: Other\n", + "Processing job: Research Assistant in category: Other\n", + "Processing job: Survey Researcher in category: Other\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/life-physical-and-social-science/survey-researchers.htm\n", + "Processing job: Technical Writer in category: Other\n", + "Scraping Quick Facts from: http://www.bls.gov/ooh/media-and-communication/technical-writers.htm\n", + "Processing job: Transformational Coach in category: Other\n", + "Processing job: Volunteer Coordinator in category: Other\n", + "Processing job: Applied or Analytical Statistician in category: Other\n", + "Progress saved: 16 job categories processed.\n", + "Total jobs processed: 16\n", + "Total jobs with Quick Facts table: 74\n" ] } ], @@ -3608,22 +221580,17 @@ " for line, highlight_color in lines:\n", " youtube_match = youtube_pattern.search(line)\n", " if youtube_match:\n", - " # Extract the YouTube URL\n", " youtube_url = youtube_match.group()\n", " video_id = re.search(r'(?:v=|youtu\\.be/)([\\w-]+)', youtube_url).group(1)\n", " \n", - " # Store the video ID instead of the iframe HTML\n", " if current_job and current_job in jobs:\n", " jobs[current_job]['videos'].append({\n", - " 'video_id': video_id, # Store only the video ID\n", - " 'url': youtube_url # Optionally store the original URL\n", + " 'video_id': video_id,\n", + " 'url': youtube_url\n", " })\n", " elif url_pattern.search(line):\n", - " # Extract the URL\n", " url_match = url_pattern.search(line)\n", " url = url_match.group()\n", - " \n", - " # Extract the category (everything before the URL)\n", " category = line[:url_match.start()].strip()\n", "\n", " if current_job and current_job in jobs:\n", @@ -3632,14 +221599,11 @@ " 'category': category\n", " })\n", " elif line.lower().startswith(\"undefined\"):\n", - " # Skip lines starting with \"undefined\"\n", " continue\n", " else:\n", " if current_main_category is None:\n", - " # Set the main category\n", " current_main_category = line\n", " elif current_job is None:\n", - " # Set the job title (sub_category)\n", " current_job = line\n", " jobs[current_job] = {\n", " 'links': [],\n", @@ -3647,22 +221611,17 @@ " 'degree_required': \"Bachelor's\" if highlight_color == 'cyan' else \"Graduate's\" if highlight_color == 'green' else ''\n", " }\n", " else:\n", - " # Handle a new main category if a new line appears\n", " if line.strip() == \"\":\n", " if current_main_category:\n", - " # Save the current main category and its jobs\n", " data.append({\n", " 'main_category': current_main_category,\n", " 'jobs': jobs\n", " })\n", - " # Reset for the next main category\n", " current_main_category = None\n", " jobs = {}\n", " current_job = None\n", " else:\n", - " # If it's neither a URL nor an empty line, it might be a new job\n", " if current_job:\n", - " # Make sure to add the current job to jobs before changing\n", " current_job = line\n", " jobs[current_job] = {\n", " 'links': [],\n", @@ -3670,7 +221629,6 @@ " 'degree_required': \"Bachelor's\" if highlight_color == 'cyan' else \"Graduate's\" if highlight_color == 'green' else ''\n", " }\n", "\n", - " # Handle the last main category and jobs if they exist\n", " if current_main_category and jobs:\n", " data.append({\n", " 'main_category': current_main_category,\n", @@ -3681,15 +221639,19 @@ "\n", "def scrape_quick_facts(driver, url):\n", " driver.get(url) # Open the URL\n", - " time.sleep(5) # Allow time for the page to load\n", - "\n", + " \n", + " # Wait for the Quick Facts table to be present\n", + " time.sleep(0.5) # Static wait, consider using WebDriverWait for better practice\n", + " \n", " try:\n", - " # Locate the Quick Facts table by its ID\n", " quickfacts_table = driver.find_element(By.ID, 'quickfacts')\n", + " if not quickfacts_table:\n", + " print(f\"Quick Facts table not found at {url}.\")\n", + " return None\n", " \n", " # Get the outer HTML of the table\n", " quickfacts_html = quickfacts_table.get_attribute('outerHTML')\n", - " \n", + "\n", " # Parse the HTML using BeautifulSoup\n", " soup = BeautifulSoup(quickfacts_html, 'html.parser')\n", " \n", @@ -3718,7 +221680,6 @@ " source_header['colspan'] = '2' # Span across two columns\n", " source_header.string = 'Source: '\n", " \n", - " # Create the source link\n", " source_link = soup.new_tag('a', href=url)\n", " source_link.string = 'www.bls.gov'\n", " source_header.append(source_link)\n", @@ -3732,7 +221693,9 @@ " return updated_quickfacts_html # Return the HTML for further processing\n", "\n", " except Exception as e:\n", - " print(\"Error: Unable to find the Quick Facts table. Exception:\", e)\n", + " print(f\"Error: Unable to find the Quick Facts table at {url}. Exception:\", e)\n", + " print(\"HTML content of the page:\")\n", + " print(driver.page_source) # Print the entire HTML content for reference\n", " return None\n", "\n", "def main(file_path, start_line, end_line, output_file):\n", @@ -3740,12 +221703,15 @@ " job_data = parse_lines(lines) # Parse the job data from the Word document\n", " combined_data = []\n", "\n", + " # Initialize counter for jobs with Quick Facts\n", + " total_jobs_with_quick_facts = 0\n", + "\n", " # Set up the Edge WebDriver\n", " options = webdriver.EdgeOptions()\n", " driver = webdriver.Edge(service=Service(EdgeChromiumDriverManager().install()), options=options)\n", "\n", - " # Nested function to process each job and scrape Quick Facts\n", " def process_job(job_category):\n", + " nonlocal total_jobs_with_quick_facts # Use nonlocal to modify the outer variable\n", " jobs = job_category['jobs']\n", " for job_title, job_info in jobs.items():\n", " print(f\"Processing job: {job_title} in category: {job_category['main_category']}\")\n", @@ -3753,13 +221719,14 @@ " # Check if any of the job links is from bls.gov\n", " bls_links = [link['url'] for link in job_info['links'] if 'bls.gov' in link['url']]\n", " if bls_links:\n", - " # Scrape the Quick Facts table for this job\n", " url = bls_links[0] # Use the first bls.gov link found\n", + " print(f\"Scraping Quick Facts from: {url}\") # Debug print for the URL\n", " html_table = scrape_quick_facts(driver, url) # Scrape the HTML table\n", " if html_table:\n", " job_info['jobs_table'] = html_table # Add the HTML table to the job info\n", + " total_jobs_with_quick_facts += 1 # Increment the counter for jobs with Quick Facts\n", "\n", - " return job_category # Return the job category after processing\n", + " return job_category # Return the job category after processing\n", "\n", " # Loop through each job entry\n", " for job_category in job_data:\n", @@ -3771,16 +221738,4899 @@ " json.dump(combined_data, f, indent=4)\n", " print(f\"Progress saved: {len(combined_data)} job categories processed.\")\n", "\n", + " # Print total progress\n", + " print(f\"Total jobs processed: {len(combined_data)}\")\n", + " print(f\"Total jobs with Quick Facts table: {total_jobs_with_quick_facts}\")\n", + "\n", " driver.quit() # Close the browser\n", "\n", "# Specify the file path and line range\n", "file_path = 'careers.docx'\n", "start_line = 171 # Starting line (inclusive)\n", - "end_line = start_line + 3000 # Adjust the ending line as needed\n", + "end_line = start_line + 30000 # Adjust the ending line as needed\n", "output_file = 'jobs.json'\n", "\n", "main(file_path, start_line, end_line, output_file)\n" ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Results saved to output.txt\n" + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "from docx import Document\n", + "import re\n", + "\n", + "def extract_domains(text):\n", + " # Regular expression to match URLs with any scheme (http, https, ftp, etc.)\n", + " url_pattern = re.compile(r'([a-zA-Z][a-zA-Z\\d+\\-.]*://(?:www\\.)?([^/]+))')\n", + " domains = re.findall(url_pattern, text)\n", + " return [domain[1] for domain in domains] # Extract the domain part\n", + "\n", + "def count_domains(docx_file):\n", + " doc = Document(docx_file)\n", + " domain_count = defaultdict(int)\n", + " \n", + " for paragraph in doc.paragraphs:\n", + " text = paragraph.text\n", + " domains = extract_domains(text)\n", + " for domain in domains:\n", + " domain_count[domain] += 1\n", + " \n", + " return domain_count\n", + "\n", + "def save_sorted_results(domain_count, output_file):\n", + " sorted_by_count = sorted(domain_count.items(), key=lambda item: item[1], reverse=True)\n", + " sorted_alphabetically = sorted(domain_count.items())\n", + "\n", + " with open(output_file, 'w') as f:\n", + " f.write(\"Sorted by Frequency:\\n\")\n", + " for domain, count in sorted_by_count:\n", + " f.write(f\"{domain}: {count}\\n\")\n", + "\n", + " f.write(\"\\nSorted Alphabetically:\\n\")\n", + " for domain, count in sorted_alphabetically:\n", + " f.write(f\"{domain}: {count}\\n\")\n", + " \n", + " print(\"Results saved to\", output_file)\n", + "\n", + "def main(docx_file, output_file):\n", + " domain_count = count_domains(docx_file)\n", + " save_sorted_results(domain_count, output_file)\n", + "\n", + "# Replace 'careers.docx' with the path to your DOCX file and 'output.txt' with your desired output file path\n", + "docx_file = 'careers.docx'\n", + "output_file = 'output.txt'\n", + "main(docx_file, output_file)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sorted by Frequency:\n", + "+-----------------------------------+-------+\n", + "| Domain | Count |\n", + "+-----------------------------------+-------+\n", + "| Wild Card: http: | 633 |\n", + "| apa.org | 413 |\n", + "| youtube.com | 354 |\n", + "| Video: https: | 313 |\n", + "| about | 233 |\n", + "| division | 228 |\n", + "| APA Division: http: | 224 |\n", + "| summary | 196 |\n", + "| O*NET: http: | 195 |\n", + "| link | 195 |\n", + "| action | 172 |\n", + "| Video: http: | 143 |\n", + "| careers | 133 |\n", + "| psychologyschoolguide.net | 118 |\n", + "| careersinpsychology.org | 118 |\n", + "| drkit.org | 115 |\n", + "| onetonline.org | 108 |\n", + "| online.onetcenter.org | 88 |\n", + "| bls.gov | 88 |\n", + "| APA Psychologist Profile: http... | 87 |\n", + "| Interview: http: | 86 |\n", + "| interview | 85 |\n", + "| OOH: http: | 79 |\n", + "| psychology-careers | 72 |\n", + "| ooh | 68 |\n", + "| psychologycareercenter.org | 59 |\n", + "| resources | 59 |\n", + "| articles | 58 |\n", + "| APA Applied Research: http: | 56 |\n", + "| research-in-action | 55 |\n", + "| Wild Card: https: | 39 |\n", + "| career-guides | 39 |\n", + "| teachpsych.org | 38 |\n", + "| psychlearningcurve.org | 36 |\n", + "| career | 35 |\n", + "| ebooks | 34 |\n", + "| APA Blog: http: | 33 |\n", + "| APA Careers: http: | 31 |\n", + "| education-portal.com | 27 |\n", + "| health | 26 |\n", + "| academic-advising-2015-vol2 | 25 |\n", + "| psichi.org | 24 |\n", + "| science | 24 |\n", + "| allpsychologycareers.com | 23 |\n", + "| study.com | 22 |\n", + "| occupationalinfo.org | 22 |\n", + "| healthcare | 22 |\n", + "| careerplanner.com | 21 |\n", + "| improve-lives | 21 |\n", + "| business | 20 |\n", + "| DOT: http: | 20 |\n", + "| education-training.aspx | 18 |\n", + "| communities | 18 |\n", + "| div56.aspx | 18 |\n", + "| od | 17 |\n", + "| div29.aspx | 16 |\n", + "| pages | 15 |\n", + "| mymajors.com | 14 |\n", + "| work.chron.com | 14 |\n", + "| job-descriptions.careerplanner... | 14 |\n", + "| div19.aspx | 14 |\n", + "| DOT-Job-Descriptions | 13 |\n", + "| 04 | 13 |\n", + "| ehow.com | 12 |\n", + "| div43.aspx | 12 |\n", + "| careers.stateuniversity.com | 12 |\n", + "| div50.aspx | 12 |\n", + "| p | 10 |\n", + "| div33.aspx | 10 |\n", + "| community-and-social-service | 10 |\n", + "| americasjobexchange.com | 9 |\n", + "| myplan.com | 9 |\n", + "| truity.com | 9 |\n", + "| career-profile | 9 |\n", + "| lead.aspx | 9 |\n", + "| oes | 9 |\n", + "| current | 9 |\n", + "| div48.aspx | 9 |\n", + "| div49.aspx | 9 |\n", + "| psychology.about.com | 9 |\n", + "| job-descriptions | 8 |\n", + "| Job-Descriptions | 8 |\n", + "| OOH | 8 |\n", + "| div53.aspx | 8 |\n", + "| div37.aspx | 8 |\n", + "| div36.aspx | 8 |\n", + "| en | 8 |\n", + "| APA: Division: http: | 8 |\n", + "| business-and-financial | 7 |\n", + "| management | 7 |\n", + "| 21-1021.00 | 7 |\n", + "| 2011 | 7 |\n", + "| protect.aspx | 7 |\n", + "| reading.aspx | 7 |\n", + "| academic-advising-2015-vol2 | 7 |\n", + "| div40.aspx | 7 |\n", + "| explorehealthcareers.org | 7 |\n", + "| Career | 7 |\n", + "| careers-advice | 6 |\n", + "| hr | 6 |\n", + "| money.usnews.com | 6 |\n", + "| best-jobs | 6 |\n", + "| 21-1012.00 | 6 |\n", + "| collegeatlas.org | 6 |\n", + "| careerprofiles.info | 6 |\n", + "| education-training-and-library | 6 |\n", + "| 25-2052.00 | 6 |\n", + "| 25-2053.00 | 6 |\n", + "| 25-2051.00 | 6 |\n", + "| div5.aspx | 6 |\n", + "| psychologycareerprofiles | 6 |\n", + "| oppsych.com | 6 |\n", + "| sales | 5 |\n", + "| job-profile | 5 |\n", + "| hiring.monster.com | 5 |\n", + "| hr-best-practices | 5 |\n", + "| recruiting-hiring-advice | 5 |\n", + "| research | 5 |\n", + "| learn.org | 5 |\n", + "| OOH: \thttp: | 5 |\n", + "| index.aspx | 5 |\n", + "| APA: http: | 5 |\n", + "| sokanu.com | 5 |\n", + "| 25-2054.00 | 5 |\n", + "| schools | 5 |\n", + "| protect.aspx | 5 |\n", + "| scan.aspx | 5 |\n", + "| 19 | 5 |\n", + "| a | 5 |\n", + "| eyewitness.aspx | 5 |\n", + "| totaljobs.com | 4 |\n", + "| prospects.ac.uk | 4 |\n", + "| payscale.com | 4 |\n", + "| US | 4 |\n", + "| Salary | 4 |\n", + "| 11-9111.00 | 4 |\n", + "| 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watch?v=zA-aVYkCkCQ | 1 |\n", + "| way_5291507_job-description-sc... | 2 |\n", + "| webmd.com | 1 |\n", + "| wellness-coordinator-careers-4... | 2 |\n", + "| what-can-coaches-do-for-you | 1 |\n", + "| what-can-you-do-with-a-bachelo... | 1 |\n", + "| what-does-a-caseworker-do | 1 |\n", + "| what-does-a-gender-therapist-d... | 1 |\n", + "| what-does-an-employee-relation... | 1 |\n", + "| what-does-an-organizational-de... | 1 |\n", + "| what-does-sex-therapist-do | 1 |\n", + "| what-is-an-np | 1 |\n", + "| what-is-coaching | 1 |\n", + "| what-is-existential-psychother... | 1 |\n", + "| what-is-forensic-psychology | 4 |\n", + "| what-is-operational-psychology | 3 |\n", + "| what-is-social-psychology-defi... | 1 |\n", + "| what-your-counseling-pastor-jo... | 2 |\n", + "| what_is_medical_scribe.html | 1 |\n", + "| whatisdbt.cfm | 1 |\n", + "| who.int | 1 |\n", + "| wholesale-and-manufacturing-sa... | 1 |\n", + "| wikihow.com | 1 |\n", + "| william-milberg.aspx | 1 |\n", + "| winter | 1 |\n", + "| wisegeek.com | 3 |\n", + "| woman.thenest.com | 2 |\n", + "| work.chron.com | 14 |\n", + "| wp-content | 3 |\n", + "| www1.salary.com | 1 |\n", + "| yawhat.pdf | 2 |\n", + "| youthministry.com | 1 |\n", + "| youtube.com | 354 |\n", + "| zora-l-kolkey | 3 |\n", + "+-----------------------------------+-------+\n" + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "from docx import Document\n", + "import re\n", + "from tabulate import tabulate\n", + "\n", + "def extract_domains(text):\n", + " # Regular expression to match all URLs (http, https, ftp, etc.)\n", + " url_pattern = re.compile(r'\\b(?:https?://|ftp://|www\\.)?([^/]+)')\n", + " domains = re.findall(url_pattern, text)\n", + " return domains\n", + "\n", + "def count_domains(docx_file):\n", + " doc = Document(docx_file)\n", + " domain_count = defaultdict(int)\n", + " \n", + " for paragraph in doc.paragraphs:\n", + " text = paragraph.text\n", + " domains = extract_domains(text)\n", + " for domain in domains:\n", + " domain_count[domain] += 1\n", + " \n", + " return domain_count\n", + "\n", + "def display_results(domain_count):\n", + " # Create a list of tuples for tabulate, limiting to one instance per domain\n", + " table_data = [(domain, count) for domain, count in domain_count.items()]\n", + " \n", + " # Sort by frequency\n", + " sorted_by_count = sorted(table_data, key=lambda item: item[1], reverse=True)\n", + "\n", + " # Shorten domain names for readability\n", + " shortened_data = [(f\"{domain[:30]}{'...' if len(domain) > 30 else ''}\", count) for domain, count in sorted_by_count]\n", + " \n", + " # Print results in tabulated format\n", + " print(\"Sorted by Frequency:\")\n", + " print(tabulate(shortened_data, headers=[\"Domain\", \"Count\"], tablefmt=\"pretty\"))\n", + "\n", + " # Sort alphabetically\n", + " sorted_alphabetically = sorted(table_data)\n", + "\n", + " # Shorten domain names for readability\n", + " shortened_alpha_data = [(f\"{domain[:30]}{'...' if len(domain) > 30 else ''}\", count) for domain, count in sorted_alphabetically]\n", + "\n", + " print(\"\\nSorted Alphabetically:\")\n", + " print(tabulate(shortened_alpha_data, headers=[\"Domain\", \"Count\"], tablefmt=\"pretty\"))\n", + "\n", + "def main(docx_file):\n", + " domain_count = count_domains(docx_file)\n", + " display_results(domain_count)\n", + "\n", + "# Replace 'careers.docx' with the path to your DOCX file\n", + "docx_file = 'careers.docx'\n", + "main(docx_file)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total Count of URLs: 2023\n" + ] + } + ], + "source": [ + "# Example data (use the actual data you have)\n", + "domain_counts = {\n", + " \"apa.org\": 413,\n", + " \"youtube.com\": 354,\n", + " \"psychologyschoolguide.net\": 118,\n", + " \"careersinpsychology.org\": 118,\n", + " \"drkit.org\": 115,\n", + " \"onetonline.org\": 108,\n", + " \"online.onetcenter.org\": 88,\n", + " \"bls.gov\": 88,\n", + " \"psychologycareercenter.org\": 59,\n", + " \"teachpsych.org\": 38,\n", + " \"psychlearningcurve.org\": 36,\n", + " \"education-portal.com\": 27,\n", + " \"psichi.org\": 24,\n", + " \"allpsychologycareers.com\": 23,\n", + " \"study.com\": 22,\n", + " \"occupationalinfo.org\": 22,\n", + " \"careerplanner.com\": 21,\n", + " \"mymajors.com\": 14,\n", + " \"work.chron.com\": 14,\n", + " \"job-descriptions.careerplanner.com\": 14,\n", + " \"ehow.com\": 12,\n", + " \"careers.stateuniversity.com\": 12,\n", + " \"americasjobexchange.com\": 9,\n", + " \"myplan.com\": 9,\n", + " \"truity.com\": 9,\n", + " \"psychology.about.com\": 9,\n", + " \"explorehealthcareers.org\": 7,\n", + " \"money.usnews.com\": 6,\n", + " \"collegeatlas.org\": 6,\n", + " \"careerprofiles.info\": 6,\n", + " \"oppsych.com\": 6,\n", + " \"hiring.monster.com\": 5,\n", + " \"learn.org\": 5,\n", + " \"sokanu.com\": 5,\n", + " \"totaljobs.com\": 4,\n", + " \"prospects.ac.uk\": 4,\n", + " \"payscale.com\": 4,\n", + " \"counselor-license.com\": 4,\n", + " \"navy.com\": 4,\n", + " \"campusexplorer.com\": 3,\n", + " \"careerplanning.about.com\": 3,\n", + " \"humanresourcesmba.net\": 3,\n", + " \"michigan.gov\": 3,\n", + " \"careerinfonet.org\": 3,\n", + " \"oureverydaylife.com\": 3,\n", + " \"educationportal.com\": 3,\n", + " \"wisegeek.com\": 3,\n", + " \"collegegrad.com\": 2,\n", + " \"healthcareers.about.com\": 2,\n", + " \"innerbody.com\": 2,\n", + " \"resources.workable.com\": 2,\n", + " \"onlinehumanresources.net\": 2,\n", + " \"targetjobs.co.uk\": 2,\n", + " \"health.usnews.com\": 2,\n", + " \"mayo.edu\": 2,\n", + " \"woman.thenest.com\": 2,\n", + " \"humanservicesedu.org\": 2,\n", + " \"div17.org\": 2,\n", + " \"geteducated.com\": 2,\n", + " \"aapc.org\": 2,\n", + " \"biblicalcounselingcoalition.org\": 2,\n", + " \"dot-job-descriptions.careerplanner.com\": 2,\n", + " \"asha.org\": 2,\n", + " \"nationalcareersservice.direct.gov.uk\": 2,\n", + " \"academicinvest.com\": 2,\n", + " \"apna.org\": 2,\n", + " \"acponline.org\": 2,\n", + " \"sohp-online.org\": 2,\n", + " \"careersinpublichealth.net\": 2,\n", + " \"criminologycareers.about.com\": 2,\n", + " \"learningpath.org\": 2,\n", + " \"policepsychology.org\": 2,\n", + " \"apadivisions.org\": 2,\n", + " \"psychologytoday.com\": 2,\n", + " \"musicpsychology.co.uk\": 2,\n", + " \"inputyouth.co.uk\": 2,\n", + " \"apsa.org\": 2,\n", + " \"nytimes.com\": 2,\n", + " \"samples.jbpub.com\": 2,\n", + " \"onetcenter.org\": 1,\n", + " \"mynextmove.org\": 1,\n", + " \"forbes.com\": 1,\n", + " \"hbr.org\": 1,\n", + " \"siop.org\": 1,\n", + " \"city-data.com\": 1,\n", + " \"counselling-directory.org.uk\": 1,\n", + " \"allpsychologyschools.com\": 1,\n", + " \"neumann.edu\": 1,\n", + " \"agency.governmentjobs.com\": 1,\n", + " \"swz.salary.com\": 1,\n", + " \"missouristate.edu\": 1,\n", + " \"pcc.edu\": 1,\n", + " \"earlychildhoodteacher.org\": 1,\n", + " \"emory.edu\": 1,\n", + " \"nacada.ksu.edu\": 1,\n", + " \"suu.edu\": 1,\n", + " \"apadiv15.org\": 1,\n", + " \"blogs.articulate.com\": 1,\n", + " \"jobshadow.com\": 1,\n", + " \"childlife.org\": 1,\n", + " \"ndworksitewellness.org\": 1,\n", + " \"floridatechonline.com\": 1,\n", + " \"acefitness.org\": 1,\n", + " \"healthcarepathway.com\": 1,\n", + " \"healthcaresalaryworld.com\": 1,\n", + " \"scribeamerica.com\": 1,\n", + " \"kansashealthsolutions.org\": 1,\n", + " \"senescence.info\": 1,\n", + " \"publichealthonline.org\": 1,\n", + " \"who.int\": 1,\n", + " \"hospitalmedicine.org\": 1,\n", + " \"studentdoctor.net\": 1,\n", + " \"bastyr.edu\": 1,\n", + " \"aanp.org\": 1,\n", + " \"humanresourceadvisors.com\": 1,\n", + " \"job-analysis.net\": 1,\n", + " \"gostudy.mobi\": 1,\n", + " \"www1.salary.com\": 1,\n", + " \"superscholar.org\": 1,\n", + " \"firescience.org\": 1,\n", + " \"journalofaccountancy.com\": 1,\n", + " \"acfe.com\": 1,\n", + " \"bankinfosecurity.com\": 1,\n", + " \"owlguru.com\": 1,\n", + " \"paralegal.edu\": 1,\n", + " \"spartanburgsheriff.org\": 1,\n", + " \"legalcareers.about.com\": 1,\n", + " \"allaboutcareers.com\": 1,\n", + " \"armystudyguide.com\": 1,\n", + " \"nationalguard.com\": 1,\n", + " \"va.gov\": 1,\n", + " \"thesap.org.uk\": 1,\n", + " \"div12.org\": 1,\n", + " \"div40.org\": 1,\n", + " \"sciencedaily.com\": 1,\n", + " \"psychology.jrank.org\": 1,\n", + " \"darahoffmanfox.com\": 1,\n", + " \"psychologydegreeguide.org\": 1,\n", + " \"aaronjarden.com\": 1,\n", + " \"ispp.org\": 1,\n", + " \"all-about-psychology.com\": 1,\n", + " \"mastersinpsychologyguide.com\": 1,\n", + " \"youthministry.com\": 1,\n", + " \"thegospelcoalition.org\": 1,\n", + " \"socialworkdegreeguide.com\": 1,\n", + " \"infed.org\": 1,\n", + " \"recruiter.com\": 1,\n", + " \"afaa.com\": 1,\n", + " \"exercise.about.com\": 1,\n", + " \"issaonline.com\": 1,\n", + " \"hrvillage.com\": 1,\n", + " \"thebusinessanalystjobdescription.com\": 1,\n", + " \"artisantalent.com\": 1,\n", + " \"acodez.in\": 1,\n", + " \"glassdoor.com\": 1,\n", + " \"interaction-design.org\": 1,\n", + " \"jstor.org\": 1,\n", + " \"gamedesigning.org\": 1,\n", + " \"adigitaldreamer.com\": 1,\n", + " \"allalliedhealthschools.com\": 1,\n", + " \"pmi.edu\": 1,\n", + " \"apta.org\": 1,\n", + " \"behavioraltech.org\": 1,\n", + " \"psychcentral.com\": 1,\n", + " \"goodtherapy.org\": 1,\n", + " \"webmd.com\": 1,\n", + " \"aact.org\": 1,\n", + " \"gardencityga.org\": 1,\n", + " \"chicagotribune.com\": 1,\n", + " \"wikihow.com\": 1,\n", + " \"theparadigmshifts.com\": 1,\n", + " \"centerfortransformationalcoaching.com\": 1,\n", + "}\n", + "\n", + "# Calculate the total\n", + "total_count = sum(domain_counts.values())\n", + "\n", + "# Print the total\n", + "print(f\"Total Count of URLs: {total_count}\")\n" + ] } ], "metadata": {