DashBoard
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Tech Talent Dashboard
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Introduction
One of MnTech’s key pillars of focus is Talent for a reason: Demand for tech talent in Minnesota continues to exceed supply, and tech occupations continue to provide higher than average wages for Minnesotans. MnTech hopes to use this platform to define what a healthy tech ecosystem looks like, define what jobs are most in demand and the skills needed for those roles, and define where there are gaps in the tech talent ecosystem that need to be addressed. Unless otherwise noted, the measures below capture the tech occupations across the state of Minnesota.
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Number of employers in Minnesota advertising for a tech occupation job, and therefore competing for the same talent
2,872
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Tech Occupation Jobs (Ex. a software developer at a company in any industry)
107,502
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Tech Industry Jobs (Any job at a tech sector company)
147,655
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MN tech cluster occupation jobs are projected to increase 7% from 2024-2028 vs. the national projected growth rate of 12.0%. Regional job concentration per capita for MN Tech SOC cluster is 1.10 times the national job concentration, ie. there are 10% more MN Tech cluster jobs in this region than we would expect to find in the average region.
7%
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Median Salary for MN Tech cluster occupation jobs (vs. $55K MN Avg.) MN Tech cluster jobs increased 2% from 2018-2023 vs. the national growth rate of 13% for this occupation group.
$101,582
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Median Salary for Tech Industry Jobs (vs. $173K National Avg.). Tech industry jobs in MN are projected to grow 5% over the next 5 years (2024 - 2028). MN is about average for this kind of talent. The national average for an area this size is 160K jobs. MN avg. earnings among all industries is $84.2K vs. national avg. $84.8K.
$144,960
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Tech Industry Contribution to Minnesota Gross Regional Product
$35.7 Billion
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Tech Workforce Demographics
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Statistics based around INDUSTRY reference all jobs at a tech related company and use NAICS (North American Industry Classification System) codes. An example would be a warehouse worker employed at tech company Amazon. Statistics based around OCCUPATION reference jobs working directly in a tech role and use SOC (Standard Occupational Classification) codes. An example would be a software engineer working at a financial institution or software company. Statistics based around TECH WORKFORCE reference jobs working directly in a tech role and use SOC (Standard Occupational Classification) codes.
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Leading Tech Industry Occupations
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Top Minnesota Tech Industry Occupations
% of Industry in Occupation (2023)
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Tech Demographics
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Age Distribution of Minnesota Tech Workforce Size by Occupation
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MN Tech Occupations by Race/Ethnicity
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Minneapolis, St. Paul MSA Tech Workforce Distribution by Race
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Current Year Hispanic or Latino % of Occupation
Current Year White % of Occupation
Current Year Black or African American % of Occupation
Current Year American Indian or Alaska Native % of Occupation
Current Year Asian % of Occupation
Current Year Native Hawaiian or Other Pacific Islander % of Occupation
Current Year Two or More Races % of Occupation
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Minneapolis, St. Paul MSA Tech Workforce Distribution by Age
Current Year Age 14-18 % of Occupation
Current Year Age 19-21 % of Occupation
Current Year Age 22-24 % of Occupation
Current Year Age 25-34 % of Occupation
Current Year Age 35-44 % of Occupation
Current Year Age 45-54 % of Occupation
Current Year Age 55-64 % of Occupation
Current Year Age 65+ % of Occupation
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Total Race Diversity of Tech Occupations
28%
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Total Gender Diversity of Tech Occupations
27%
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Gender Mix of Minnesota Tech Workforce by Occupation
Data Sortable by Column (click header)
Description | Males % of Occupation | Females % of Occupation | Gap |
|---|---|---|---|
| Computer and Information Systems Managers | 69.47% | 30.53% | 38.94% |
| Computer Systems Analysts | 60.9% | 39.1% | 21.79% |
| Information Security Analysts | 79.87% | 20.13% | 59.74% |
| Computer and Information Research Scientists | 71.6% | 28.4% | 43.19% |
| Computer Network Support Specialists | 71.64% | 28.36% | 43.28% |
| Computer User Support Specialists | 72% | 28% | 44% |
| Computer Network Architects | 86.42% | 13.58% | 72.85% |
| Database Administrators | 61.32% | 38.68% | 22.65% |
| Database Architects | 63.55% | 36.45% | 27.1% |
| Network and Computer Systems Administrators | 79.34% | 20.66% | 58.68% |
| Computer Programmers | 77.76% | 22.24% | 55.52% |
| Software Developers | 79.34% | 20.66% | 58.68% |
| Software Quality Assurance Analysts and Testers | 68.78% | 31.22% | 37.56% |
| Web Developers | 68.15% | 31.85% | 36.3% |
| Web and Digital Interface Designers | 64.8% | 35.2% | 29.61% |
| Computer Occupations, All Other | 70.64% | 29.36% | 41.28% |
| Computer Hardware Engineers | 82.86% | 17.14% | 65.72% |
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Gender Mix of Minneapolis St. Paul MSA Tech Workforce by Occupation
Data Sortable by Column (click header)
Description | Males % of Occupation | Females % of Occupation | Gender Gap |
|---|---|---|---|
| Computer and Information Systems Managers | 69.37% | 30.63% | 38.73% |
| Computer Systems Analysts | 60.71% | 39.29% | 21.41% |
| Information Security Analysts | 79.97% | 20.03% | 59.93% |
| Computer and Information Research Scientists | 71.57% | 28.43% | 43.14% |
| Computer Network Support Specialists | 72.07% | 27.93% | 44.14% |
| Computer User Support Specialists | 72.02% | 27.98% | 44.04% |
| Computer Network Architects | 86.35% | 13.65% | 72.69% |
| Database Administrators | 61.53% | 38.47% | 23.06% |
| Database Architects | 63.4% | 36.6% | 26.8% |
| Network and Computer Systems Administrators | 79.08% | 20.92% | 58.16% |
| Computer Programmers | 77.78% | 22.22% | 55.55% |
| Software Developers | 79.2% | 20.8% | 58.4% |
| Software Quality Assurance Analysts and Testers | 68.57% | 31.43% | 37.14% |
| Web Developers | 67.89% | 32.11% | 35.77% |
| Web and Digital Interface Designers | 64.55% | 35.45% | 29.1% |
| Computer Occupations, All Other | 70.29% | 29.71% | 40.59% |
| Computer Hardware Engineers | 83.35% | 16.65% | 66.7% |
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Tech Talent, Jobs, & Earnings
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400,430 MN Residents Working Remotely (All Occupations)
13.6%
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MN Median Age (vs. 38 National Avg.)
38
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Long-Term Trend
Tech Job Postings
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Job Postings 5-Year Trend
MN Tech Cluster Job Postings (hover to display values)
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Current Job Postings by Educational Attainment
MN Tech Cluster Job Postings
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Earnings
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Tech Sector Earnings Comparison by State
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Tech Wage Ranges by Occupation (25th-75th Percentile)
Annual Earnings by Tech Occupation in Minnesota
Computer and Information Systems Managers
$133,508
$211,409
Architectural and Engineering Managers
$136,732
$205,642
Natural Sciences Managers
$108,618
$168,542
Computer and Information Research Scientists
$109,305
$156,045
Computer Network Architects
$99,046
$154,798
Software Developers
$96,127
$145,651
Database Architects
$103,883
$144,156
Computer Systems Analysts
$85,159
$134,137
Transportation, Storage, and Distribution Managers
$76,022
$133,794
Database Administrators
$69,933
$128,614
Software Quality Assurance Analysts and Testers
$84,181
$127,644
Computer Programmers
$65,392
$119,885
Network and Computer Systems Administrators
$77,951
$115,935
Web and Digital Interface Designers
$53,800
$98,084
Computer Network Support Specialists
$62,988
$91,406
Desktop Publishers
$44,740
$84,250
Computer User Support Specialists
$53,049
$79,170
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Jobs & Commuting
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Tech Worker Commuting Patterns by Top 20 Tech Job Counties
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2023 Jobs
2023 Resident Workers
2023 Net Commuters
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Top 20 Remote Worker Counties in Minnesota
County Name | % Remote Workers |
|---|---|
| Hennepin County, MN | 19% |
| Carver County, MN | 18.7% |
| Washington County, MN | 18% |
| Cook County, MN | 17.8% |
| Traverse County, MN | 16.4% |
| Lincoln County, MN | 16% |
| Scott County, MN | 15.9% |
| Dakota County, MN | 15.8% |
| Ramsey County, MN | 15.2% |
| Grant County, MN | 13.5% |
| Rice County, MN | 13.4% |
| Anoka County, MN | 13.2% |
| Lac qui Parle County, MN | 13% |
| Nicollet County, MN | 12.9% |
| Marshall County, MN | 11.9% |
| Hubbard County, MN | 11.8% |
| Kittson County, MN | 11.2% |
| Wright County, MN | 11.2% |
| Lake County, MN | 11.1% |
| Olmsted County, MN | 11.1% |
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Top 10 Tech Occupations by Job Profile Count
Tech Occupation Cluster Job Profiles
LowHigh
Occupation (SOC) | Profiles | Percent |
|---|---|---|
| Software Engineers | 7,380 | 7.43% |
| Software Developers | 1,682 | 1.69% |
| Principal Software Engineers | 891 | 0.9% |
| Business Systems Analysts | 880 | 0.89% |
| IT Specialists | 849 | 0.85% |
| IT Managers | 835 | 0.84% |
| Systems Administrators | 831 | 0.84% |
| Data Engineers | 646 | 0.65% |
| Chief Technology Officers | 643 | 0.65% |
| Systems Engineers | 613 | 0.62% |
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Top Hard Skills Companies Are Looking For
Tech Occupation Cluster Job Profiles
Skill | Frequency in Job Postings | Frequency in Candidates | Skill Gap |
|---|---|---|---|
| Computer Science | 27% | 2% | -25% |
| Automation | 21% | 7% | -14% |
| Scalability | 19% | 2% | -17% |
| Python (Programming Language) | 18% | 8% | -10% |
| Project Management | 17% | 16% | -1% |
| Agile Methodology | 16% | 10% | -6% |
| Software Engineering | 16% | 15% | -1% |
| SQL (Programming Language) | 15% | 15% | 0% |
| Amazon Web Services | 15% | 5% | -10% |
| Workflow Management | 14% | 4% | -10% |
| Microsoft Azure | 14% | 3% | -11% |
| Artificial Intelligence | 14% | 2% | -12% |
| Software Development | 12% | 13% | 1% |
| Application Programming Interface (API) | 12% | 5% | -7% |
| Continuous Improvement Process | 12% | 4% | -8% |
| CI/CD | 11% | 2% | -9% |
| Java (Programming Language) | 10% | 11% | 1% |
| Machine Learning | 9% | 2% | -7% |
| DevOps | 9% | 3% | -6% |
| Auditing | 8% | 4% | -4% |
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Employers
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Employers
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Top 10 Tech Employers by Social Profile Count
Company | Profiles | Percent |
|---|---|---|
| Target | 2,051 | 2.06% |
| Mayo Clinic | 1,789 | 1.8% |
| Medtronic | 1,779 | 1.79% |
| US Bank | 1,673 | 1.68% |
| UnitedHealth Group | 1,648 | 1.66% |
| Optum | 1,479 | 1.49% |
| Wells Fargo | 1,316 | 1.32% |
| 3M | 1,223 | 1.23% |
| University of Minnesota | 1,076 | 1.08% |
| State of Minnesota | 1,037 | 1.04% |
Self-reported employer of tech occupation workforce sourced from online social profile (Linkedin).
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Top 20 Companies Currently Hiring
Data Sortable by Column (click header)
Company | Latest 30 Days Unique Postings | Latest 30 Days Unique Postings % Change | Median Salary | Demand |
|---|---|---|---|---|
| UnitedHealth Group | 119 | 2.5% | $149,248 | 2.07 |
| Boston Scientific | 94 | 11.7% | $143,872 | 1.97 |
| Oracle | 72 | 23.6% | $160,256 | 1.81 |
| Target | 71 | 19.7% | $132,864 | 2.27 |
| Mayo Clinic | 70 | 21.4% | $115,968 | 4.46 |
| Optum | 70 | 24.3% | $125,184 | 2.64 |
| University of Minnesota | 64 | -51.6% | $93,440 | 1.84 |
| State of Minnesota | 63 | -22.2% | $100,608 | 1.4 |
| GovCIO | 55 | 29.1% | $112,384 | 2.11 |
| Accenture | 54 | 11.1% | $146,176 | 1.44 |
| Coinbase | 50 | 40% | $185,856 | 1.26 |
| Medtronic | 45 | -8.9% | $182,016 | 1.73 |
| CVS Health | 43 | 53.5% | $139,008 | 1.63 |
| Lumen Technologies | 43 | -14% | $151,040 | 2.16 |
| PricewaterhouseCoopers | 41 | 36.6% | $165,376 | 1.1 |
| Daikin | 37 | -21.6% | $119,040 | 2.59 |
| M. A. Mortenson Company | 37 | -21.6% | $121,856 | 1.54 |
| 3M | 35 | 14.3% | $182,784 | 2.4 |
| Ensono | 34 | 41.2% | $113,920 | 1.35 |
| Amazon | 32 | -15.6% | $176,640 | 5.59 |
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Job Supply & Demand
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Job Postings vs. Hiring by Tech Occupation
Occupation | Avg Monthly Postings (Jan 2024 - Dec 2024) | Avg Monthly Hires (Jan 2024 - Dec 2024) | Gap |
|---|---|---|---|
| Software Developers | 770 | 878 | 108 |
| Computer Occupations, All Other | 792 | 143 | -649 |
| Computer User Support Specialists | 309 | 368 | 59 |
| Computer Systems Analysts | 162 | 261 | 99 |
| Database Administrators | 144 | 29 | -115 |
| Database Architects | 149 | 18 | -131 |
| Web Developers | 73 | 54 | -19 |
| Computer Network Architects | 110 | 49 | -61 |
| Web and Digital Interface Designers | 75 | 52 | -23 |
| Software Quality Assurance Analysts and Testers | 71 | 75 | 4 |
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Tech Workforce Concentration and Migration
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Top 20 Minnesota Cities with Tech Job Profiles
Social Profiles in Tech Occupations
City | Profiles | Percent |
|---|---|---|
| Minneapolis, MN | 45,019 | 45.3% |
| Saint Paul, MN | 14,931 | 15.02% |
| Rochester, MN | 2,949 | 2.97% |
| Eden Prairie, MN | 2,793 | 2.81% |
| Duluth, MN | 1,382 | 1.39% |
| Lakeville, MN | 1,133 | 1.14% |
| St. Cloud, MN | 1,124 | 1.13% |
| Hopkins, MN | 1,055 | 1.06% |
| Burnsville, MN | 991 | 1% |
| Shakopee, MN | 881 | 0.89% |
| Osseo, MN | 849 | 0.85% |
| Mankato, MN | 815 | 0.82% |
| Maple Grove, MN | 749 | 0.75% |
| Minnetonka, MN | 606 | 0.61% |
| Savage, MN | 601 | 0.6% |
| Chaska, MN | 567 | 0.57% |
| Cottage Grove, MN | 559 | 0.56% |
| Rosemount, MN | 553 | 0.56% |
| Prior Lake, MN | 542 | 0.55% |
| Andover, MN | 533 | 0.54% |
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Tech Education Pipeline
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Education Attainment
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Minnesota Tech Workforce by Education Institution Affiliation
School Affiliation in MN Tech Cluster Occupation Profiles
School | Profiles | Percent |
|---|---|---|
| University of Minnesota-Twin Cities | 17,052 | 17.16% |
| Winona State University | 5,599 | 5.63% |
| Saint Cloud State University | 4,618 | 4.65% |
| Minnesota State University, Mankato | 4,191 | 4.22% |
| University of Saint Thomas (Minnesota) | 3,247 | 3.27% |
| University of Minnesota Duluth | 3,093 | 3.11% |
| University of Saint Thomas (Texas) | 2,407 | 2.42% |
| Carlson School of Management | 2,121 | 2.13% |
| University of Wisconsin-Madison | 1,841 | 1.85% |
| Normandale Community College | 1,829 | 1.84% |
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Top 10 Minnesota Educational Institutions by Tech Program Completion
STEM Programs
Institution | Completions (2023) | Growth % YOY (2023) |
|---|---|---|
| University of Minnesota-Twin Cities | 4,073 | 3.2% |
| University of Minnesota-Duluth | 727 | 0.8% |
| University of St Thomas | 609 | -14.5% |
| Minnesota State University-Mankato | 525 | -4% |
| Saint Cloud State University | 471 | -5.8% |
| Hennepin Technical College | 463 | -8.9% |
| Metropolitan State University | 330 | 2.2% |
| Capella University | 286 | -26.7% |
| Minneapolis Community and Technical College | 284 | 14.5% |
| Concordia University-Saint Paul | 269 | 212.8% |
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Education Credentials
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Education Credentials Issued by County in Minneapolis St. Paul Metro
2023 Completions
County name | Hennepin | Ramsey | Anoka | Dakota | Pierce |
|---|---|---|---|---|---|
| Award of less than 1 academic year | 628 | 65 | 60 | 21 | 373 |
| Award of at least 1 but less than 2 academic years | 144 | 4 | 66 | 3 | 2 |
| Associate's Degree | 503 | 169 | 123 | 126 | 0 |
| Award of at least 2 but less than 4 academic years | 12 | 1,086 | 0 | 0 | 0 |
| Bachelor's Degree | 3,127 | 90 | 0 | 0 | 0 |
| Postbaccalaureate certificate | 40 | 439 | 0 | 0 | 0 |
| Master's Degree | 888 | 0 | 0 | 0 | 0 |
| Doctor's Degree | 544 | 0 | 0 | 0 | 0 |
| Post-masters certificate | 0 | 0 | 0 | 0 | 0 |
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Education Pipeline
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Tech Education Pipeline Trends
Degree Trend by Education Track
Agriculture and Veteranary Science
Computer and Information Sciences and Support Services
Engineering
Engineering/Engineering-related Technologies/Technicians
Biological and Biomedical Sciences
Military Technologies and Applied Sciences
Physical Sciences
Science Technologies/Technicians
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Minnesota Tech Education Pipeline by Program
CIP Code | Description | All Programs 2023 Completions | % Completions Change (2018-2023) |
|---|---|---|---|
| 1 | Agricultural/Animal/Plant/Veterinary Science And Related Fields | 870 | -20.84% |
| 11 | Computer and Information Sciences and Support Services | 4,394 | 13.8% |
| 14 | Engineering | 2,225 | -10.28% |
| 15 | Engineering/Engineering-related Technologies/Technicians | 1,371 | -5.71% |
| 26 | Biological and Biomedical Sciences | 2,932 | -2.53% |
| 29 | Military Technologies and Applied Sciences | 1 | 0% |
| 40 | Physical Sciences | 777 | -24.93% |
| 41 | Science Technologies/Technicians | 23 | 43.75% |
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Data
METHODOLOGY
This report includes 129,747 data points from 83 measures, collected from sources described below.
Some of the summary data included in the report may not include suppressed data. Data suppression occurs in cases where private, identifying information would be disclosed. In most cases, this does not impact the total values presented in the report, but in cases where there are small industries or areas, data suppressions may reduce the accuracy of the data we can display.
Statistics based around INDUSTRY reference all jobs at a tech related company and use NAICS (North American Industry Classification System) codes. An example would be a warehouse worker employed at tech company Amazon.
Statistics based around OCCUPATION reference jobs working directly in a tech role and use SOC (Standard Occupational Classification) codes. An example would be a software engineer working at a financial institution or software company.
Statistics based around TECH WORKFORCE reference jobs working directly in a tech role and use SOC (Standard Occupational Classification) codes.
SOURCES
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Lightcast / Emsi, Quarterly Census of Employment and Wages, Bureau of Labor Statistics