add_2025_09_release

.gitattributes

@@ -60,9 +60,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 release_2025_09_15/**/*.csv filter=lfs diff=lfs merge=lfs -text
 release_2025_09_15/**/*.xlsx filter=lfs diff=lfs merge=lfs -text
 release_2025_09_15/**/*.json filter=lfs diff=lfs merge=lfs -text
-release_2026_01_15/**/*.csv filter=lfs diff=lfs merge=lfs -text
-release_2026_01_15/**/*.xlsx filter=lfs diff=lfs merge=lfs -text
-release_2026_01_15/**/*.json filter=lfs diff=lfs merge=lfs -text
-release_2026_01_15/**/*.pdf filter=lfs diff=lfs merge=lfs -text
-release_2026_03_24/data/aei_raw_1p_api_2026-02-05_to_2026-02-12.csv filter=lfs diff=lfs merge=lfs -text
-release_2026_03_24/data/aei_raw_claude_ai_2026-02-05_to_2026-02-12.csv filter=lfs diff=lfs merge=lfs -text

README.md

@@ -6,18 +6,19 @@ tags:
 - LLM
 - Economic Impacts
 - Anthropic
-license: mit
 viewer: true
+license: mit
 configs:
-- config_name: release_2026_01_15
+- config_name: release_2025_09_15
   data_files:
   - split: raw_claude_ai
-    path: "release_2026_01_15/data/intermediate/aei_raw_claude_ai_2025-11-13_to_2025-11-20.csv"
+    path: "release_2025_09_15/data/intermediate/aei_raw_claude_ai_2025-08-04_to_2025-08-11.csv"
   - split: raw_1p_api
-    path: "release_2025_09_15/data/intermediate/aei_raw_1p_api_2025-11-13_to_2025-11-20.csv"
+    path: "release_2025_09_15/data/intermediate/aei_raw_1p_api_2025-08-04_to_2025-08-11.csv"
+  - split: enriched_claude_ai
+    path: "release_2025_09_15/data/output/aei_enriched_claude_ai_2025-08-04_to_2025-08-11.csv"
 ---
 
-
 # The Anthropic Economic Index
 
 ## Overview
@@ -28,9 +29,6 @@ The Anthropic Economic Index provides insights into how AI is being incorporated
 
 This repository contains multiple data releases, each with its own documentation:
 
-- **[Labor market impacts](https://huggingface.co/datasets/Anthropic/EconomicIndex/tree/main/labor_market_impacts)**: Job exposure and task penetration data
-- **[2026-03-24 Release](https://huggingface.co/datasets/Anthropic/EconomicIndex/tree/main/release_2026_03_24)**: Updated analysis with Opus 4.5/4.6 and learning curves
-- **[2026-01-15 Release](https://huggingface.co/datasets/Anthropic/EconomicIndex/tree/main/release_2026_01_15)**: Updated analysis with economic primitives and Sonnet 4.5
 - **[2025-09-15 Release](https://huggingface.co/datasets/Anthropic/EconomicIndex/tree/main/release_2025_09_15)**: Updated analysis with geographic and first-party API data using Sonnet 4
 - **[2025-03-27 Release](https://huggingface.co/datasets/Anthropic/EconomicIndex/tree/main/release_2025_03_27)**: Updated analysis with Claude 3.7 Sonnet data and cluster-level insights
 - **[2025-02-10 Release](https://huggingface.co/datasets/Anthropic/EconomicIndex/tree/main/release_2025_02_10)**: Initial release with O*NET task mappings, automation vs. augmentation data, and more
@@ -39,53 +37,26 @@ This repository contains multiple data releases, each with its own documentation
 ## Resources
 
 - [Index Home Page](https://www.anthropic.com/economic-index)
-- [5th report](https://www.anthropic.com/research/economic-index-march-2026-report)
-- [4th report](https://www.anthropic.com/research/anthropic-economic-index-january-2026-report)
 - [3rd report](https://www.anthropic.com/research/anthropic-economic-index-september-2025-report)
 - [2nd report](https://www.anthropic.com/news/anthropic-economic-index-insights-from-claude-sonnet-3-7)
 - [1st report](https://www.anthropic.com/news/the-anthropic-economic-index)
 
-- [Labor market impacts](https://www.anthropic.com/research/labor-market-impacts)
 
 ## License
 
-Data released under CC-BY, code released under MIT License.
+Data released under CC-BY, code released under MIT License
 
 ## Contact
 
-For inquiries, contact econ-research@anthropic.com.
+For inquiries, contact atamkin@anthropic.com. We invite researchers to provide input on potential future data releases using [this form](https://docs.google.com/forms/d/e/1FAIpQLSfDEdY-mT5lcXPaDSv-0Ci1rSXGlbIJierxkUbNB7_07-kddw/viewform?usp=dialog).
 
 ## Citation
 
-### Fifth release
-
-```
-@online{anthropic2026aeiv5,
-        author = {Maxim Massenkoff and Eva Lyubich and Peter McCrory and Ruth Appel and Ryan Heller},
-        title = {Anthropic Economic Index report: Learning curves},
-        date = {2026-03-24},
-        year = {2026},
-        url = {https://www.anthropic.com/research/economic-index-march-2026-report},
-}
-```
-
-### Fourth release
-
-```
-@online{anthropic2026aeiv4,
-        author = {Ruth Appel and Maxim Massenkoff and Peter McCrory and Miles McCain and Ryan Heller and Tyler Neylon and Alex Tamkin},
-        title = {Anthropic Economic Index report: economic primitives},
-        date = {2026-01-15},
-        year = {2026},
-        url = {https://www.anthropic.com/research/anthropic-economic-index-january-2026-report},
-}
-```
-
 ### Third release
 
 ```
 @online{appelmccrorytamkin2025geoapi,
-        author = {Ruth Appel and Peter McCrory and Alex Tamkin and Michael Stern and Miles McCain and Tyler Neylon},
+        author = {Ruth Appel and Peter McCrory and Alex Tamkin and Michael Stern and Miles McCain and Tyler Neylon],
         title = {Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption},
         date = {2025-09-15},
         year = {2025},

labor_market_impacts/job_exposure.csv

@@ -1,757 +0,0 @@
-occ_code,title,observed_exposure
-11-1011,Chief Executives,0.0333
-11-1021,General and Operations Managers,0.1378
-11-1031,Legislators,0.0
-11-2011,Advertising and Promotions Managers,0.1731
-11-2021,Marketing Managers,0.3195
-11-2022,Sales Managers,0.0433
-11-2032,Public Relations Managers,0.2315
-11-3012,Administrative Services Managers,0.0
-11-3013,Facilities Managers,0.1345
-11-3021,Computer and Information Systems Managers,0.1559
-11-3031,Financial Managers,0.3907
-11-3051,Industrial Production Managers,0.0132
-11-3061,Purchasing Managers,0.2004
-11-3071,"Transportation, Storage, and Distribution Managers",0.0956
-11-3111,Compensation and Benefits Managers,0.0
-11-3121,Human Resources Managers,0.0
-11-3131,Training and Development Managers,0.3777
-11-9013,"Farmers, Ranchers, and Other Agricultural Managers",0.0
-11-9021,Construction Managers,0.1186
-11-9031,"Education and Childcare Administrators, Preschool and Daycare",0.0395
-11-9032,"Education Administrators, Kindergarten through Secondary",0.0525
-11-9033,"Education Administrators, Postsecondary",0.0644
-11-9041,Architectural and Engineering Managers,0.0306
-11-9051,Food Service Managers,0.0
-11-9071,Gambling Managers,0.0
-11-9081,Lodging Managers,0.1215
-11-9111,Medical and Health Services Managers,0.0659
-11-9121,Natural Sciences Managers,0.0613
-11-9131,Postmasters and Mail Superintendents,0.0
-11-9141,"Property, Real Estate, and Community Association Managers",0.1653
-11-9151,Social and Community Service Managers,0.1808
-11-9161,Emergency Management Directors,0.0
-11-9171,Funeral Home Managers,0.0108
-11-9179,"Personal Service Managers, All Other",0.1244
-11-9199,"Managers, All Other",0.0686
-13-1011,"Agents and Business Managers of Artists, Performers, and Athletes",0.118
-13-1031,"Claims Adjusters, Examiners, and Investigators",0.0818
-13-1032,"Insurance Appraisers, Auto Damage",0.0
-13-1041,Compliance Officers,0.1211
-13-1051,Cost Estimators,0.0
-13-1071,Human Resources Specialists,0.4034
-13-1074,Farm Labor Contractors,0.0
-13-1075,Labor Relations Specialists,0.0
-13-1081,Logisticians,0.1571
-13-1111,Management Analysts,0.2435
-13-1121,"Meeting, Convention, and Event Planners",0.1023
-13-1131,Fundraisers,0.0466
-13-1141,"Compensation, Benefits, and Job Analysis Specialists",0.0649
-13-1151,Training and Development Specialists,0.2793
-13-1161,Market Research Analysts and Marketing Specialists,0.6483
-13-1199,"Business Operations Specialists, All Other",0.1846
-13-2011,Accountants and Auditors,0.3478
-13-2031,Budget Analysts,0.0672
-13-2041,Credit Analysts,0.1685
-13-2051,Financial and Investment Analysts,0.5716
-13-2052,Personal Financial Advisors,0.3504
-13-2053,Insurance Underwriters,0.0625
-13-2054,Financial Risk Specialists,0.2649
-13-2061,Financial Examiners,0.0428
-13-2071,Credit Counselors,0.2341
-13-2072,Loan Officers,0.1857
-13-2081,"Tax Examiners and Collectors, and Revenue Agents",0.0275
-13-2082,Tax Preparers,0.1283
-13-2099,"Financial Specialists, All Other",0.2202
-15-1211,Computer Systems Analysts,0.2763
-15-1212,Information Security Analysts,0.4859
-15-1221,Computer and Information Research Scientists,0.3404
-15-1231,Computer Network Support Specialists,0.2867
-15-1232,Computer User Support Specialists,0.4685
-15-1241,Computer Network Architects,0.1987
-15-1242,Database Administrators,0.3315
-15-1243,Database Architects,0.5787
-15-1244,Network and Computer Systems Administrators,0.3373
-15-1251,Computer Programmers,0.7451
-15-1252,Software Developers,0.288
-15-1253,Software Quality Assurance Analysts and Testers,0.5195
-15-1254,Web Developers,0.4802
-15-1255,Web and Digital Interface Designers,0.249
-15-1299,"Computer Occupations, All Other",0.3106
-15-2011,Actuaries,0.0539
-15-2021,Mathematicians,0.4241
-15-2031,Operations Research Analysts,0.4288
-15-2041,Statisticians,0.2107
-15-2051,Data Scientists,0.4605
-15-2099,"Mathematical Science Occupations, All Other",0.4793
-17-1011,"Architects, Except Landscape and Naval",0.0784
-17-1012,Landscape Architects,0.0
-17-1021,Cartographers and Photogrammetrists,0.08
-17-1022,Surveyors,0.0022
-17-2011,Aerospace Engineers,0.0753
-17-2021,Agricultural Engineers,0.0
-17-2031,Bioengineers and Biomedical Engineers,0.1328
-17-2041,Chemical Engineers,0.0
-17-2051,Civil Engineers,0.0081
-17-2061,Computer Hardware Engineers,0.1453
-17-2071,Electrical Engineers,0.059
-17-2072,"Electronics Engineers, Except Computer",0.0999
-17-2081,Environmental Engineers,0.0358
-17-2111,"Health and Safety Engineers, Except Mining Safety Engineers and Inspectors",0.0
-17-2112,Industrial Engineers,0.0367
-17-2121,Marine Engineers and Naval Architects,0.0358
-17-2131,Materials Engineers,0.0
-17-2141,Mechanical Engineers,0.0813
-17-2151,"Mining and Geological Engineers, Including Mining Safety Engineers",0.0
-17-2161,Nuclear Engineers,0.0
-17-2171,Petroleum Engineers,0.0
-17-2199,"Engineers, All Other",0.0659
-17-3011,Architectural and Civil Drafters,0.0
-17-3012,Electrical and Electronics Drafters,0.0889
-17-3013,Mechanical Drafters,0.0
-17-3021,Aerospace Engineering and Operations Technologists and Technicians,0.0
-17-3022,Civil Engineering Technologists and Technicians,0.0776
-17-3023,Electrical and Electronic Engineering Technologists and Technicians,0.0202
-17-3024,Electro-Mechanical and Mechatronics Technologists and Technicians,0.0
-17-3025,Environmental Engineering Technologists and Technicians,0.1029
-17-3026,Industrial Engineering Technologists and Technicians,0.0
-17-3027,Mechanical Engineering Technologists and Technicians,0.0683
-17-3029,"Engineering Technologists and Technicians, Except Drafters, All Other",0.0
-17-3031,Surveying and Mapping Technicians,0.0
-19-1011,Animal Scientists,0.0
-19-1012,Food Scientists and Technologists,0.0
-19-1013,Soil and Plant Scientists,0.0513
-19-1021,Biochemists and Biophysicists,0.0756
-19-1022,Microbiologists,0.0969
-19-1023,Zoologists and Wildlife Biologists,0.0606
-19-1029,"Biological Scientists, All Other",0.2452
-19-1031,Conservation Scientists,0.0
-19-1032,Foresters,0.0
-19-1041,Epidemiologists,0.0
-19-1042,"Medical Scientists, Except Epidemiologists",0.0381
-19-2011,Astronomers,0.3849
-19-2012,Physicists,0.2727
-19-2021,Atmospheric and Space Scientists,0.038
-19-2031,Chemists,0.2614
-19-2032,Materials Scientists,0.1843
-19-2041,"Environmental Scientists and Specialists, Including Health",0.0548
-19-2042,"Geoscientists, Except Hydrologists and Geographers",0.043
-19-2043,Hydrologists,0.0748
-19-2099,"Physical Scientists, All Other",0.0379
-19-3011,Economists,0.2418
-19-3022,Survey Researchers,0.4316
-19-3032,Industrial-Organizational Psychologists,0.1577
-19-3033,Clinical and Counseling Psychologists,0.0591
-19-3034,School Psychologists,0.0467
-19-3039,"Psychologists, All Other",0.0
-19-3041,Sociologists,0.3833
-19-3051,Urban and Regional Planners,0.0959
-19-3091,Anthropologists and Archeologists,0.1354
-19-3092,Geographers,0.1096
-19-3093,Historians,0.028
-19-3094,Political Scientists,0.452
-19-3099,"Social Scientists and Related Workers, All Other",0.0327
-19-4012,Agricultural Technicians,0.0058
-19-4013,Food Science Technicians,0.2038
-19-4021,Biological Technicians,0.0599
-19-4031,Chemical Technicians,0.3148
-19-4042,"Environmental Science and Protection Technicians, Including Health",0.1444
-19-4043,"Geological Technicians, Except Hydrologic Technicians",0.229
-19-4051,Nuclear Technicians,0.0
-19-4061,Social Science Research Assistants,0.4393
-19-4071,Forest and Conservation Technicians,0.0221
-19-4092,Forensic Science Technicians,0.0
-19-4099,"Life, Physical, and Social Science Technicians, All Other",0.0955
-19-5011,Occupational Health and Safety Specialists,0.0
-19-5012,Occupational Health and Safety Technicians,0.0
-21-1012,"Educational, Guidance, and Career Counselors and Advisors",0.1182
-21-1013,Marriage and Family Therapists,0.0
-21-1015,Rehabilitation Counselors,0.0
-21-1021,"Child, Family, and School Social Workers",0.0074
-21-1022,Healthcare Social Workers,0.0916
-21-1023,Mental Health and Substance Abuse Social Workers,0.0
-21-1091,Health Education Specialists,0.1376
-21-1092,Probation Officers and Correctional Treatment Specialists,0.0
-21-1093,Social and Human Service Assistants,0.0
-21-1094,Community Health Workers,0.0
-21-2011,Clergy,0.1116
-21-2021,"Directors, Religious Activities and Education",0.153
-23-1011,Lawyers,0.1673
-23-1012,Judicial Law Clerks,0.1704
-23-1021,"Administrative Law Judges, Adjudicators, and Hearing Officers",0.3048
-23-1022,"Arbitrators, Mediators, and Conciliators",0.2426
-23-1023,"Judges, Magistrate Judges, and Magistrates",0.3109
-23-2011,Paralegals and Legal Assistants,0.2927
-23-2093,"Title Examiners, Abstractors, and Searchers",0.0216
-25-1011,"Business Teachers, Postsecondary",0.3072
-25-1021,"Computer Science Teachers, Postsecondary",0.2414
-25-1022,"Mathematical Science Teachers, Postsecondary",0.4305
-25-1031,"Architecture Teachers, Postsecondary",0.0
-25-1032,"Engineering Teachers, Postsecondary",0.3589
-25-1041,"Agricultural Sciences Teachers, Postsecondary",0.0
-25-1042,"Biological Science Teachers, Postsecondary",0.2914
-25-1043,"Forestry and Conservation Science Teachers, Postsecondary",0.0206
-25-1051,"Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary",0.0396
-25-1052,"Chemistry Teachers, Postsecondary",0.2185
-25-1053,"Environmental Science Teachers, Postsecondary",0.0232
-25-1054,"Physics Teachers, Postsecondary",0.0
-25-1061,"Anthropology and Archeology Teachers, Postsecondary",0.0236
-25-1062,"Area, Ethnic, and Cultural Studies Teachers, Postsecondary",0.0
-25-1063,"Economics Teachers, Postsecondary",0.0
-25-1064,"Geography Teachers, Postsecondary",0.0
-25-1065,"Political Science Teachers, Postsecondary",0.0
-25-1066,"Psychology Teachers, Postsecondary",0.3219
-25-1067,"Sociology Teachers, Postsecondary",0.0
-25-1071,"Health Specialties Teachers, Postsecondary",0.3045
-25-1072,"Nursing Instructors and Teachers, Postsecondary",0.1909
-25-1081,"Education Teachers, Postsecondary",0.2621
-25-1082,"Library Science Teachers, Postsecondary",0.018
-25-1111,"Criminal Justice and Law Enforcement Teachers, Postsecondary",0.0
-25-1112,"Law Teachers, Postsecondary",0.0
-25-1113,"Social Work Teachers, Postsecondary",0.0
-25-1121,"Art, Drama, and Music Teachers, Postsecondary",0.2142
-25-1122,"Communications Teachers, Postsecondary",0.2111
-25-1123,"English Language and Literature Teachers, Postsecondary",0.3618
-25-1124,"Foreign Language and Literature Teachers, Postsecondary",0.2403
-25-1125,"History Teachers, Postsecondary",0.0994
-25-1126,"Philosophy and Religion Teachers, Postsecondary",0.2197
-25-1192,"Family and Consumer Sciences Teachers, Postsecondary",0.0
-25-1193,"Recreation and Fitness Studies Teachers, Postsecondary",0.1138
-25-1194,"Career/Technical Education Teachers, Postsecondary",0.1563
-25-2011,"Preschool Teachers, Except Special Education",0.0
-25-2012,"Kindergarten Teachers, Except Special Education",0.0
-25-2021,"Elementary School Teachers, Except Special Education",0.103
-25-2022,"Middle School Teachers, Except Special and Career/Technical Education",0.2972
-25-2023,"Career/Technical Education Teachers, Middle School",0.0
-25-2031,"Secondary School Teachers, Except Special and Career/Technical Education",0.2901
-25-2032,"Career/Technical Education Teachers, Secondary School",0.0
-25-2051,"Special Education Teachers, Preschool",0.0058
-25-2057,"Special Education Teachers, Middle School",0.134
-25-2058,"Special Education Teachers, Secondary School",0.0989
-25-2059,"Special Education Teachers, All Other",0.0257
-25-3011,"Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors",0.0636
-25-3021,Self-Enrichment Teachers,0.0662
-25-3041,Tutors,0.4077
-25-4011,Archivists,0.1348
-25-4012,Curators,0.4123
-25-4013,Museum Technicians and Conservators,0.0
-25-4022,Librarians and Media Collections Specialists,0.2032
-25-4031,Library Technicians,0.054
-25-9021,Farm and Home Management Educators,0.0
-25-9031,Instructional Coordinators,0.3043
-25-9044,"Teaching Assistants, Postsecondary",0.1002
-27-1011,Art Directors,0.2098
-27-1012,Craft Artists,0.0539
-27-1013,"Fine Artists, Including Painters, Sculptors, and Illustrators",0.3565
-27-1014,Special Effects Artists and Animators,0.3571
-27-1021,Commercial and Industrial Designers,0.0437
-27-1022,Fashion Designers,0.0568
-27-1023,Floral Designers,0.0
-27-1024,Graphic Designers,0.3672
-27-1025,Interior Designers,0.0
-27-1026,Merchandise Displayers and Window Trimmers,0.0
-27-1027,Set and Exhibit Designers,0.0
-27-2011,Actors,0.1011
-27-2012,Producers and Directors,0.092
-27-2021,Athletes and Sports Competitors,0.0
-27-2022,Coaches and Scouts,0.0
-27-2023,"Umpires, Referees, and Other Sports Officials",0.0
-27-2031,Dancers,0.0
-27-2032,Choreographers,0.0801
-27-2041,Music Directors and Composers,0.0368
-27-2042,Musicians and Singers,0.0
-27-3011,Broadcast Announcers and Radio Disc Jockeys,0.0634
-27-3023,"News Analysts, Reporters, and Journalists",0.2098
-27-3031,Public Relations Specialists,0.453
-27-3041,Editors,0.246
-27-3042,Technical Writers,0.4747
-27-3043,Writers and Authors,0.2462
-27-3091,Interpreters and Translators,0.4304
-27-3092,Court Reporters and Simultaneous Captioners,0.3431
-27-4011,Audio and Video Technicians,0.0173
-27-4012,Broadcast Technicians,0.0197
-27-4014,Sound Engineering Technicians,0.0
-27-4021,Photographers,0.195
-27-4031,"Camera Operators, Television, Video, and Film",0.1651
-27-4032,Film and Video Editors,0.2234
-29-1011,Chiropractors,0.0
-29-1021,"Dentists, General",0.0309
-29-1022,Oral and Maxillofacial Surgeons,0.0
-29-1023,Orthodontists,0.0
-29-1024,Prosthodontists,0.0
-29-1031,Dietitians and Nutritionists,0.1328
-29-1041,Optometrists,0.0
-29-1051,Pharmacists,0.0896
-29-1071,Physician Assistants,0.0
-29-1081,Podiatrists,0.0
-29-1122,Occupational Therapists,0.008
-29-1123,Physical Therapists,0.0174
-29-1124,Radiation Therapists,0.0
-29-1125,Recreational Therapists,0.0
-29-1126,Respiratory Therapists,0.0
-29-1127,Speech-Language Pathologists,0.0
-29-1128,Exercise Physiologists,0.0
-29-1129,"Therapists, All Other",0.0402
-29-1131,Veterinarians,0.0926
-29-1141,Registered Nurses,0.0595
-29-1151,Nurse Anesthetists,0.0
-29-1161,Nurse Midwives,0.052
-29-1171,Nurse Practitioners,0.0944
-29-1181,Audiologists,0.0
-29-1211,Anesthesiologists,0.0
-29-1213,Dermatologists,0.0
-29-1215,Family Medicine Physicians,0.0
-29-1216,General Internal Medicine Physicians,0.084
-29-1217,Neurologists,0.0
-29-1218,Obstetricians and Gynecologists,0.0685
-29-1221,"Pediatricians, General",0.0
-29-1222,"Physicians, Pathologists",0.1577
-29-1223,Psychiatrists,0.0
-29-1224,Radiologists,0.199
-29-1229,"Physicians, All Other",0.0297
-29-1241,"Ophthalmologists, Except Pediatric",0.0
-29-1242,"Orthopedic Surgeons, Except Pediatric",0.0
-29-1243,Pediatric Surgeons,0.0
-29-1291,Acupuncturists,0.0
-29-1292,Dental Hygienists,0.0
-29-1299,"Healthcare Diagnosing or Treating Practitioners, All Other",0.0222
-29-2031,Cardiovascular Technologists and Technicians,0.0
-29-2032,Diagnostic Medical Sonographers,0.0
-29-2033,Nuclear Medicine Technologists,0.0513
-29-2034,Radiologic Technologists and Technicians,0.0
-29-2035,Magnetic Resonance Imaging Technologists,0.039
-29-2042,Emergency Medical Technicians,0.0
-29-2043,Paramedics,0.0
-29-2051,Dietetic Technicians,0.2446
-29-2052,Pharmacy Technicians,0.0735
-29-2053,Psychiatric Technicians,0.0
-29-2055,Surgical Technologists,0.0
-29-2056,Veterinary Technologists and Technicians,0.0
-29-2057,Ophthalmic Medical Technicians,0.0
-29-2061,Licensed Practical and Licensed Vocational Nurses,0.0
-29-2072,Medical Records Specialists,0.6674
-29-2081,"Opticians, Dispensing",0.0
-29-2091,Orthotists and Prosthetists,0.0
-29-2092,Hearing Aid Specialists,0.0
-29-2099,"Health Technologists and Technicians, All Other",0.0445
-29-9021,Health Information Technologists and Medical Registrars,0.3063
-29-9091,Athletic Trainers,0.0531
-29-9092,Genetic Counselors,0.0123
-29-9093,Surgical Assistants,0.0
-29-9099,"Healthcare Practitioners and Technical Workers, All Other",0.0
-31-1131,Nursing Assistants,0.0
-31-1132,Orderlies,0.0
-31-1133,Psychiatric Aides,0.0
-31-2011,Occupational Therapy Assistants,0.0
-31-2012,Occupational Therapy Aides,0.0661
-31-2021,Physical Therapist Assistants,0.0
-31-2022,Physical Therapist Aides,0.0
-31-9011,Massage Therapists,0.0
-31-9091,Dental Assistants,0.0
-31-9092,Medical Assistants,0.0476
-31-9093,Medical Equipment Preparers,0.0
-31-9094,Medical Transcriptionists,0.6365
-31-9095,Pharmacy Aides,0.022
-31-9096,Veterinary Assistants and Laboratory Animal Caretakers,0.0179
-31-9097,Phlebotomists,0.0
-31-9099,"Healthcare Support Workers, All Other",0.0
-33-1011,First-Line Supervisors of Correctional Officers,0.0315
-33-1012,First-Line Supervisors of Police and Detectives,0.0
-33-1021,First-Line Supervisors of Firefighting and Prevention Workers,0.0
-33-2011,Firefighters,0.0
-33-2021,Fire Inspectors and Investigators,0.0
-33-2022,Forest Fire Inspectors and Prevention Specialists,0.0
-33-3011,Bailiffs,0.0
-33-3012,Correctional Officers and Jailers,0.0
-33-3021,Detectives and Criminal Investigators,0.0374
-33-3031,Fish and Game Wardens,0.0
-33-3041,Parking Enforcement Workers,0.0
-33-3051,Police and Sheriff's Patrol Officers,0.1234
-33-3052,Transit and Railroad Police,0.0
-33-9011,Animal Control Workers,0.0
-33-9021,Private Detectives and Investigators,0.0
-33-9031,Gambling Surveillance Officers and Gambling Investigators,0.0
-33-9032,Security Guards,0.0
-33-9091,Crossing Guards and Flaggers,0.0
-33-9092,"Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers",0.0
-33-9093,Transportation Security Screeners,0.0
-33-9099,"Protective Service Workers, All Other",0.0571
-35-1011,Chefs and Head Cooks,0.0
-35-1012,First-Line Supervisors of Food Preparation and Serving Workers,0.0564
-35-2011,"Cooks, Fast Food",0.0
-35-2012,"Cooks, Institution and Cafeteria",0.0
-35-2013,"Cooks, Private Household",0.0
-35-2014,"Cooks, Restaurant",0.0116
-35-2015,"Cooks, Short Order",0.0
-35-2021,Food Preparation Workers,0.0
-35-3011,Bartenders,0.0
-35-3023,Fast Food and Counter Workers,0.0
-35-3031,Waiters and Waitresses,0.0
-35-3041,"Food Servers, Nonrestaurant",0.0
-35-9011,Dining Room and Cafeteria Attendants and Bartender Helpers,0.0
-35-9021,Dishwashers,0.0
-35-9031,"Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop",0.0734
-37-1011,First-Line Supervisors of Housekeeping and Janitorial Workers,0.0436
-37-1012,"First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers",0.1083
-37-2011,"Janitors and Cleaners, Except Maids and Housekeeping Cleaners",0.0
-37-2012,Maids and Housekeeping Cleaners,0.0
-37-2021,Pest Control Workers,0.046
-37-3011,Landscaping and Groundskeeping Workers,0.0
-37-3012,"Pesticide Handlers, Sprayers, and Applicators, Vegetation",0.0
-37-3013,Tree Trimmers and Pruners,0.0
-39-1013,First-Line Supervisors of Gambling Services Workers,0.0
-39-1014,"First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services",0.0443
-39-1022,First-Line Supervisors of Personal Service Workers,0.0407
-39-2011,Animal Trainers,0.0
-39-2021,Animal Caretakers,0.0
-39-3011,Gambling Dealers,0.0
-39-3012,Gambling and Sports Book Writers and Runners,0.0
-39-3021,Motion Picture Projectionists,0.0
-39-3031,"Ushers, Lobby Attendants, and Ticket Takers",0.0
-39-3091,Amusement and Recreation Attendants,0.0619
-39-3092,Costume Attendants,0.0
-39-3093,"Locker Room, Coatroom, and Dressing Room Attendants",0.0
-39-4011,Embalmers,0.0
-39-4021,Funeral Attendants,0.0
-39-4031,"Morticians, Undertakers, and Funeral Arrangers",0.0
-39-5011,Barbers,0.0
-39-5012,"Hairdressers, Hairstylists, and Cosmetologists",0.0304
-39-5091,"Makeup Artists, Theatrical and Performance",0.0
-39-5092,Manicurists and Pedicurists,0.0
-39-5093,Shampooers,0.0
-39-5094,Skincare Specialists,0.0
-39-6011,Baggage Porters and Bellhops,0.073
-39-6012,Concierges,0.1875
-39-9011,Childcare Workers,0.0122
-39-9031,Exercise Trainers and Group Fitness Instructors,0.0
-39-9032,Recreation Workers,0.0
-39-9041,Residential Advisors,0.067
-41-1011,First-Line Supervisors of Retail Sales Workers,0.2627
-41-1012,First-Line Supervisors of Non-Retail Sales Workers,0.2295
-41-2011,Cashiers,0.0846
-41-2012,Gambling Change Persons and Booth Cashiers,0.0
-41-2021,Counter and Rental Clerks,0.2048
-41-2022,Parts Salespersons,0.0
-41-2031,Retail Salespersons,0.3222
-41-3011,Advertising Sales Agents,0.1482
-41-3021,Insurance Sales Agents,0.3188
-41-3031,"Securities, Commodities, and Financial Services Sales Agents",0.4413
-41-3041,Travel Agents,0.4054
-41-4011,"Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products",0.2706
-41-4012,"Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products",0.6279
-41-9011,Demonstrators and Product Promoters,0.0788
-41-9012,Models,0.0
-41-9021,Real Estate Brokers,0.2609
-41-9022,Real Estate Sales Agents,0.2828
-41-9031,Sales Engineers,0.3224
-41-9041,Telemarketers,0.2852
-41-9091,"Door-to-Door Sales Workers, News and Street Vendors, and Related Workers",0.1758
-43-1011,First-Line Supervisors of Office and Administrative Support Workers,0.1856
-43-2011,"Switchboard Operators, Including Answering Service",0.3863
-43-2021,Telephone Operators,0.0
-43-3011,Bill and Account Collectors,0.2989
-43-3021,Billing and Posting Clerks,0.1924
-43-3031,"Bookkeeping, Accounting, and Auditing Clerks",0.3104
-43-3041,Gambling Cage Workers,0.0653
-43-3051,Payroll and Timekeeping Clerks,0.0487
-43-3061,Procurement Clerks,0.2436
-43-3071,Tellers,0.0231
-43-4011,Brokerage Clerks,0.1744
-43-4021,Correspondence Clerks,0.2786
-43-4031,"Court, Municipal, and License Clerks",0.102
-43-4041,"Credit Authorizers, Checkers, and Clerks",0.1296
-43-4051,Customer Service Representatives,0.7011
-43-4061,"Eligibility Interviewers, Government Programs",0.0597
-43-4071,File Clerks,0.1568
-43-4081,"Hotel, Motel, and Resort Desk Clerks",0.1725
-43-4111,"Interviewers, Except Eligibility and Loan",0.3851
-43-4121,"Library Assistants, Clerical",0.0978
-43-4131,Loan Interviewers and Clerks,0.2022
-43-4141,New Accounts Clerks,0.0
-43-4151,Order Clerks,0.0748
-43-4161,"Human Resources Assistants, Except Payroll and Timekeeping",0.4046
-43-4171,Receptionists and Information Clerks,0.4338
-43-4181,Reservation and Transportation Ticket Agents and Travel Clerks,0.2467
-43-5011,Cargo and Freight Agents,0.0165
-43-5021,Couriers and Messengers,0.0412
-43-5031,Public Safety Telecommunicators,0.0465
-43-5032,"Dispatchers, Except Police, Fire, and Ambulance",0.2258
-43-5041,"Meter Readers, Utilities",0.0
-43-5051,Postal Service Clerks,0.0
-43-5052,Postal Service Mail Carriers,0.0
-43-5053,"Postal Service Mail Sorters, Processors, and Processing Machine Operators",0.0
-43-5061,"Production, Planning, and Expediting Clerks",0.0934
-43-5071,"Shipping, Receiving, and Inventory Clerks",0.0
-43-5111,"Weighers, Measurers, Checkers, and Samplers, Recordkeeping",0.0
-43-6011,Executive Secretaries and Executive Administrative Assistants,0.2336
-43-6012,Legal Secretaries and Administrative Assistants,0.0
-43-6013,Medical Secretaries and Administrative Assistants,0.3623
-43-6014,"Secretaries and Administrative Assistants, Except Legal, Medical, and Executive",0.4528
-43-9021,Data Entry Keyers,0.6707
-43-9022,Word Processors and Typists,0.2385
-43-9031,Desktop Publishers,0.464
-43-9041,Insurance Claims and Policy Processing Clerks,0.1467
-43-9051,"Mail Clerks and Mail Machine Operators, Except Postal Service",0.0
-43-9061,"Office Clerks, General",0.4504
-43-9071,"Office Machine Operators, Except Computer",0.0239
-43-9081,Proofreaders and Copy Markers,0.1781
-43-9111,Statistical Assistants,0.5099
-45-1011,"First-Line Supervisors of Farming, Fishing, and Forestry Workers",0.0
-45-2011,Agricultural Inspectors,0.0
-45-2021,Animal Breeders,0.0
-45-2041,"Graders and Sorters, Agricultural Products",0.0
-45-2091,Agricultural Equipment Operators,0.0
-45-2092,"Farmworkers and Laborers, Crop, Nursery, and Greenhouse",0.0203
-45-2093,"Farmworkers, Farm, Ranch, and Aquacultural Animals",0.0
-45-4011,Forest and Conservation Workers,0.0
-45-4021,Fallers,0.0
-45-4022,Logging Equipment Operators,0.0
-45-4023,Log Graders and Scalers,0.0
-47-1011,First-Line Supervisors of Construction Trades and Extraction Workers,0.0296
-47-2011,Boilermakers,0.0
-47-2021,Brickmasons and Blockmasons,0.0
-47-2022,Stonemasons,0.0
-47-2031,Carpenters,0.0
-47-2041,Carpet Installers,0.0
-47-2042,"Floor Layers, Except Carpet, Wood, and Hard Tiles",0.0
-47-2043,Floor Sanders and Finishers,0.0
-47-2044,Tile and Stone Setters,0.0
-47-2051,Cement Masons and Concrete Finishers,0.0
-47-2053,Terrazzo Workers and Finishers,0.0
-47-2061,Construction Laborers,0.0281
-47-2071,"Paving, Surfacing, and Tamping Equipment Operators",0.0
-47-2072,Pile Driver Operators,0.0
-47-2073,Operating Engineers and Other Construction Equipment Operators,0.0
-47-2081,Drywall and Ceiling Tile Installers,0.0
-47-2082,Tapers,0.0
-47-2111,Electricians,0.0
-47-2121,Glaziers,0.0
-47-2131,"Insulation Workers, Floor, Ceiling, and Wall",0.0
-47-2132,"Insulation Workers, Mechanical",0.0439
-47-2141,"Painters, Construction and Maintenance",0.0
-47-2142,Paperhangers,0.0
-47-2151,Pipelayers,0.0
-47-2152,"Plumbers, Pipefitters, and Steamfitters",0.0116
-47-2161,Plasterers and Stucco Masons,0.0
-47-2171,Reinforcing Iron and Rebar Workers,0.0
-47-2181,Roofers,0.0157
-47-2211,Sheet Metal Workers,0.0
-47-2221,Structural Iron and Steel Workers,0.0491
-47-2231,Solar Photovoltaic Installers,0.0
-47-3011,"Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters",0.0
-47-3012,Helpers--Carpenters,0.0
-47-3013,Helpers--Electricians,0.0
-47-3014,"Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons",0.0
-47-3015,"Helpers--Pipelayers, Plumbers, Pipefitters, and Steamfitters",0.0
-47-3016,Helpers--Roofers,0.0
-47-4011,Construction and Building Inspectors,0.0481
-47-4021,Elevator and Escalator Installers and Repairers,0.0
-47-4031,Fence Erectors,0.0
-47-4041,Hazardous Materials Removal Workers,0.0
-47-4051,Highway Maintenance Workers,0.0
-47-4061,Rail-Track Laying and Maintenance Equipment Operators,0.0
-47-4071,Septic Tank Servicers and Sewer Pipe Cleaners,0.0
-47-5011,"Derrick Operators, Oil and Gas",0.0
-47-5012,"Rotary Drill Operators, Oil and Gas",0.0
-47-5013,"Service Unit Operators, Oil and Gas",0.0
-47-5022,"Excavating and Loading Machine and Dragline Operators, Surface Mining",0.0
-47-5023,"Earth Drillers, Except Oil and Gas",0.0
-47-5032,"Explosives Workers, Ordnance Handling Experts, and Blasters",0.0
-47-5041,Continuous Mining Machine Operators,0.0
-47-5043,"Roof Bolters, Mining",0.0
-47-5044,"Loading and Moving Machine Operators, Underground Mining",0.0
-47-5051,"Rock Splitters, Quarry",0.0
-47-5071,"Roustabouts, Oil and Gas",0.0
-47-5081,Helpers--Extraction Workers,0.0
-49-1011,"First-Line Supervisors of Mechanics, Installers, and Repairers",0.1015
-49-2011,"Computer, Automated Teller, and Office Machine Repairers",0.1067
-49-2021,"Radio, Cellular, and Tower Equipment Installers and Repairers",0.0
-49-2022,"Telecommunications Equipment Installers and Repairers, Except Line Installers",0.0333
-49-2091,Avionics Technicians,0.0
-49-2092,"Electric Motor, Power Tool, and Related Repairers",0.0
-49-2093,"Electrical and Electronics Installers and Repairers, Transportation Equipment",0.0
-49-2094,"Electrical and Electronics Repairers, Commercial and Industrial Equipment",0.0
-49-2095,"Electrical and Electronics Repairers, Powerhouse, Substation, and Relay",0.0
-49-2096,"Electronic Equipment Installers and Repairers, Motor Vehicles",0.0
-49-2097,Audiovisual Equipment Installers and Repairers,0.0
-49-2098,Security and Fire Alarm Systems Installers,0.0303
-49-3011,Aircraft Mechanics and Service Technicians,0.0
-49-3021,Automotive Body and Related Repairers,0.0
-49-3022,Automotive Glass Installers and Repairers,0.0
-49-3023,Automotive Service Technicians and Mechanics,0.0
-49-3031,Bus and Truck Mechanics and Diesel Engine Specialists,0.0
-49-3041,Farm Equipment Mechanics and Service Technicians,0.0
-49-3042,"Mobile Heavy Equipment Mechanics, Except Engines",0.0
-49-3043,Rail Car Repairers,0.0
-49-3051,Motorboat Mechanics and Service Technicians,0.0
-49-3052,Motorcycle Mechanics,0.0
-49-3053,Outdoor Power Equipment and Other Small Engine Mechanics,0.0
-49-3091,Bicycle Repairers,0.0
-49-3092,Recreational Vehicle Service Technicians,0.0
-49-3093,Tire Repairers and Changers,0.0
-49-9011,Mechanical Door Repairers,0.0
-49-9012,"Control and Valve Installers and Repairers, Except Mechanical Door",0.0
-49-9021,"Heating, Air Conditioning, and Refrigeration Mechanics and Installers",0.0191
-49-9031,Home Appliance Repairers,0.0
-49-9041,Industrial Machinery Mechanics,0.0239
-49-9043,"Maintenance Workers, Machinery",0.0
-49-9044,Millwrights,0.0
-49-9045,"Refractory Materials Repairers, Except Brickmasons",0.0
-49-9051,Electrical Power-Line Installers and Repairers,0.0
-49-9052,Telecommunications Line Installers and Repairers,0.0
-49-9061,Camera and Photographic Equipment Repairers,0.0412
-49-9062,Medical Equipment Repairers,0.0
-49-9063,Musical Instrument Repairers and Tuners,0.0
-49-9064,Watch and Clock Repairers,0.0
-49-9071,"Maintenance and Repair Workers, General",0.0
-49-9081,Wind Turbine Service Technicians,0.0
-49-9091,"Coin, Vending, and Amusement Machine Servicers and Repairers",0.0
-49-9092,Commercial Divers,0.0
-49-9094,Locksmiths and Safe Repairers,0.0
-49-9095,Manufactured Building and Mobile Home Installers,0.0
-49-9096,Riggers,0.0
-49-9097,Signal and Track Switch Repairers,0.0
-49-9098,"Helpers--Installation, Maintenance, and Repair Workers",0.0
-49-9099,"Installation, Maintenance, and Repair Workers, All Other",0.0
-51-1011,First-Line Supervisors of Production and Operating Workers,0.0
-51-2011,"Aircraft Structure, Surfaces, Rigging, and Systems Assemblers",0.0494
-51-2021,"Coil Winders, Tapers, and Finishers",0.0
-51-2031,Engine and Other Machine Assemblers,0.0
-51-2041,Structural Metal Fabricators and Fitters,0.0
-51-2051,Fiberglass Laminators and Fabricators,0.0
-51-2061,Timing Device Assemblers and Adjusters,0.0392
-51-3011,Bakers,0.0
-51-3021,Butchers and Meat Cutters,0.0
-51-3022,"Meat, Poultry, and Fish Cutters and Trimmers",0.0
-51-3023,Slaughterers and Meat Packers,0.0
-51-3091,"Food and Tobacco Roasting, Baking, and Drying Machine Operators and Tenders",0.0
-51-3092,Food Batchmakers,0.0
-51-3093,Food Cooking Machine Operators and Tenders,0.0
-51-4021,"Extruding and Drawing Machine Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4022,"Forging Machine Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4023,"Rolling Machine Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4031,"Cutting, Punching, and Press Machine Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4032,"Drilling and Boring Machine Tool Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4033,"Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4034,"Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4035,"Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4041,Machinists,0.0
-51-4051,Metal-Refining Furnace Operators and Tenders,0.0
-51-4052,"Pourers and Casters, Metal",0.0
-51-4061,"Model Makers, Metal and Plastic",0.0
-51-4062,"Patternmakers, Metal and Plastic",0.0
-51-4071,Foundry Mold and Coremakers,0.0
-51-4072,"Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4081,"Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4111,Tool and Die Makers,0.0
-51-4121,"Welders, Cutters, Solderers, and Brazers",0.0
-51-4122,"Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders",0.0
-51-4191,"Heat Treating Equipment Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4192,"Layout Workers, Metal and Plastic",0.0
-51-4193,"Plating Machine Setters, Operators, and Tenders, Metal and Plastic",0.0
-51-4194,"Tool Grinders, Filers, and Sharpeners",0.0
-51-5111,Prepress Technicians and Workers,0.1018
-51-5112,Printing Press Operators,0.0
-51-5113,Print Binding and Finishing Workers,0.0
-51-6011,Laundry and Dry-Cleaning Workers,0.0
-51-6021,"Pressers, Textile, Garment, and Related Materials",0.0
-51-6031,Sewing Machine Operators,0.0
-51-6041,Shoe and Leather Workers and Repairers,0.0
-51-6042,Shoe Machine Operators and Tenders,0.0
-51-6051,"Sewers, Hand",0.0
-51-6052,"Tailors, Dressmakers, and Custom Sewers",0.0342
-51-6061,Textile Bleaching and Dyeing Machine Operators and Tenders,0.0211
-51-6062,"Textile Cutting Machine Setters, Operators, and Tenders",0.0152
-51-6063,"Textile Knitting and Weaving Machine Setters, Operators, and Tenders",0.032
-51-6064,"Textile Winding, Twisting, and Drawing Out Machine Setters, Operators, and Tenders",0.0
-51-6091,"Extruding and Forming Machine Setters, Operators, and Tenders, Synthetic and Glass Fibers",0.0
-51-6092,Fabric and Apparel Patternmakers,0.0
-51-6093,Upholsterers,0.0
-51-7011,Cabinetmakers and Bench Carpenters,0.0
-51-7021,Furniture Finishers,0.0
-51-7031,"Model Makers, Wood",0.0
-51-7032,"Patternmakers, Wood",0.0301
-51-7041,"Sawing Machine Setters, Operators, and Tenders, Wood",0.0
-51-7042,"Woodworking Machine Setters, Operators, and Tenders, Except Sawing",0.0
-51-8011,Nuclear Power Reactor Operators,0.0
-51-8012,Power Distributors and Dispatchers,0.0
-51-8013,Power Plant Operators,0.0257
-51-8021,Stationary Engineers and Boiler Operators,0.0
-51-8031,Water and Wastewater Treatment Plant and System Operators,0.0
-51-8091,Chemical Plant and System Operators,0.0
-51-8092,Gas Plant Operators,0.0723
-51-8093,"Petroleum Pump System Operators, Refinery Operators, and Gaugers",0.0405
-51-8099,"Plant and System Operators, All Other",0.0
-51-9011,Chemical Equipment Operators and Tenders,0.0
-51-9012,"Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders",0.0
-51-9021,"Crushing, Grinding, and Polishing Machine Setters, Operators, and Tenders",0.0425
-51-9022,"Grinding and Polishing Workers, Hand",0.0
-51-9023,"Mixing and Blending Machine Setters, Operators, and Tenders",0.0
-51-9031,"Cutters and Trimmers, Hand",0.0
-51-9032,"Cutting and Slicing Machine Setters, Operators, and Tenders",0.0321
-51-9041,"Extruding, Forming, Pressing, and Compacting Machine Setters, Operators, and Tenders",0.0
-51-9051,"Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders",0.0
-51-9061,"Inspectors, Testers, Sorters, Samplers, and Weighers",0.0324
-51-9071,Jewelers and Precious Stone and Metal Workers,0.0
-51-9081,Dental Laboratory Technicians,0.0
-51-9082,Medical Appliance Technicians,0.0
-51-9083,Ophthalmic Laboratory Technicians,0.0
-51-9111,Packaging and Filling Machine Operators and Tenders,0.0
-51-9123,"Painting, Coating, and Decorating Workers",0.0
-51-9124,"Coating, Painting, and Spraying Machine Setters, Operators, and Tenders",0.0
-51-9141,Semiconductor Processing Technicians,0.0
-51-9151,Photographic Process Workers and Processing Machine Operators,0.0108
-51-9161,Computer Numerically Controlled Tool Operators,0.0215
-51-9162,Computer Numerically Controlled Tool Programmers,0.1207
-51-9191,Adhesive Bonding Machine Operators and Tenders,0.0
-51-9192,"Cleaning, Washing, and Metal Pickling Equipment Operators and Tenders",0.0
-51-9193,Cooling and Freezing Equipment Operators and Tenders,0.0
-51-9194,Etchers and Engravers,0.0
-51-9195,"Molders, Shapers, and Casters, Except Metal and Plastic",0.0
-51-9196,"Paper Goods Machine Setters, Operators, and Tenders",0.0
-51-9197,Tire Builders,0.0
-51-9198,Helpers--Production Workers,0.0393
-53-1041,Aircraft Cargo Handling Supervisors,0.0
-53-2011,"Airline Pilots, Copilots, and Flight Engineers",0.0
-53-2012,Commercial Pilots,0.0
-53-2021,Air Traffic Controllers,0.0
-53-2022,Airfield Operations Specialists,0.0476
-53-2031,Flight Attendants,0.0913
-53-3011,"Ambulance Drivers and Attendants, Except Emergency Medical Technicians",0.0
-53-3031,Driver/Sales Workers,0.0281
-53-3032,Heavy and Tractor-Trailer Truck Drivers,0.0
-53-3033,Light Truck Drivers,0.0
-53-3051,"Bus Drivers, School",0.0
-53-3052,"Bus Drivers, Transit and Intercity",0.0
-53-3053,Shuttle Drivers and Chauffeurs,0.0
-53-3054,Taxi Drivers,0.0
-53-4011,Locomotive Engineers,0.0
-53-4013,"Rail Yard Engineers, Dinkey Operators, and Hostlers",0.0
-53-4022,"Railroad Brake, Signal, and Switch Operators and Locomotive Firers",0.0
-53-4031,Railroad Conductors and Yardmasters,0.0
-53-4041,Subway and Streetcar Operators,0.0
-53-5011,Sailors and Marine Oilers,0.0
-53-5021,"Captains, Mates, and Pilots of Water Vessels",0.0
-53-5022,Motorboat Operators,0.0
-53-5031,Ship Engineers,0.0
-53-6011,Bridge and Lock Tenders,0.0
-53-6021,Parking Attendants,0.0
-53-6031,Automotive and Watercraft Service Attendants,0.0
-53-6041,Traffic Technicians,0.0
-53-6051,Transportation Inspectors,0.0
-53-6061,Passenger Attendants,0.1169
-53-7011,Conveyor Operators and Tenders,0.0
-53-7021,Crane and Tower Operators,0.0
-53-7031,Dredge Operators,0.0
-53-7041,Hoist and Winch Operators,0.0
-53-7051,Industrial Truck and Tractor Operators,0.0
-53-7061,Cleaners of Vehicles and Equipment,0.0
-53-7062,"Laborers and Freight, Stock, and Material Movers, Hand",0.0
-53-7063,Machine Feeders and Offbearers,0.0
-53-7064,"Packers and Packagers, Hand",0.0
-53-7065,Stockers and Order Fillers,0.0
-53-7071,Gas Compressor and Gas Pumping Station Operators,0.0
-53-7072,"Pump Operators, Except Wellhead Pumpers",0.0
-53-7073,Wellhead Pumpers,0.0
-53-7081,Refuse and Recyclable Material Collectors,0.0
-53-7121,"Tank Car, Truck, and Ship Loaders",0.0

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release_2026_01_15/data_documentation.md

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-# Data Documentation
-
-This document describes the data sources and variables used in the fourth Anthropic Economic Index (AEI) report.
-
-## Claude.ai Usage Data
-
-### Overview
-The core dataset contains Claude.ai usage metrics aggregated by geography and analysis dimensions (facets).
-
-**Source files**:
-- `aei_raw_claude_ai_2025-11-13_to_2025-11-20.csv` (pre-enrichment data in data/intermediate/)
-
-**Note on data sources**: The AEI raw file contains raw counts and percentages.
-
-### Data Schema
-Each row represents one metric value for a specific geography and facet combination:
-
-| Column | Type | Description |
-|--------|------|-------------|
-| `geo_id` | string | Geographic identifier (ISO-3166-1 country code for countries, ISO 3166-2 region code for country-state, or "GLOBAL"). Examples: "USA", "AGO-LUA" (Angola-Luanda), "ALB-02" (Albania-Fier) (raw version uses 2- instead of 3-letter country codes) |
-| `geography` | string | Geographic level: "country", "country-state", or "global" |
-| `date_start` | date | Start of data collection period |
-| `date_end` | date | End of data collection period |
-| `platform_and_product` | string | "Claude AI (Free and Pro)" |
-| `facet` | string | Analysis dimension (see Facets below) |
-| `level` | integer | Sub-level within facet (0-2) |
-| `variable` | string | Metric name (see Variables below) |
-| `cluster_name` | string | Specific entity within facet (task, pattern, etc.). For intersections, format is "base::category" |
-| `value` | float | Numeric metric value |
-
-### Facets
-
-**Geographic Facets:**
-- **country**: Country-level aggregations
-- **country-state**: Subnational region aggregations (ISO 3166-2 regions globally)
-
-**Content Facets:**
-- **onet_task**: O*NET occupational tasks
-- **collaboration**: Human-AI collaboration patterns
-- **request**: Request complexity levels (0=highest granularity, 1=middle granularity, 2=lowest granularity)
-- **multitasking**: Whether conversation involves single or multiple tasks
-- **human_only_ability**: Whether a human could complete the task without AI assistance
-- **use_case**: Use case categories (work, coursework, personal)
-- **task_success**: Whether the task was successfully completed
-
-**Numeric Facets** (continuous variables with distribution statistics):
-- **human_only_time**: Estimated time for a human to complete the task without AI
-- **human_with_ai_time**: Estimated time for a human to complete the task with AI assistance
-- **ai_autonomy**: Degree of AI autonomy in task completion
-- **human_education_years**: Estimated years of human education required for the task
-- **ai_education_years**: Estimated equivalent years of AI "education" demonstrated
-
-**Intersection Facets:**
-- **onet_task::collaboration**: Intersection of O*NET tasks and collaboration patterns
-- **onet_task::multitasking**: Intersection of O*NET tasks and multitasking status
-- **onet_task::human_only_ability**: Intersection of O*NET tasks and human-only ability
-- **onet_task::use_case**: Intersection of O*NET tasks and use case categories
-- **onet_task::task_success**: Intersection of O*NET tasks and task success
-- **onet_task::human_only_time**: Mean human-only time per O*NET task
-- **onet_task::human_with_ai_time**: Mean human-with-AI time per O*NET task
-- **onet_task::ai_autonomy**: Mean AI autonomy per O*NET task
-- **onet_task::human_education_years**: Mean human education years per O*NET task
-- **onet_task::ai_education_years**: Mean AI education years per O*NET task
-- **request::collaboration**: Intersection of request categories and collaboration patterns
-- **request::multitasking**: Intersection of request categories and multitasking status
-- **request::human_only_ability**: Intersection of request categories and human-only ability
-- **request::use_case**: Intersection of request categories and use case categories
-- **request::task_success**: Intersection of request categories and task success
-- **request::human_only_time**: Mean human-only time per request category
-- **request::human_with_ai_time**: Mean human-with-AI time per request category
-- **request::ai_autonomy**: Mean AI autonomy per request category
-- **request::human_education_years**: Mean human education years per request category
-- **request::ai_education_years**: Mean AI education years per request category
-
-### Core Variables
-
-Variables follow the pattern `{prefix}_{suffix}` with specific meanings:
-
-**From AEI raw file**: `*_count`, `*_pct`
-
-#### Usage Metrics
-- **usage_count**: Total number of conversations/interactions in a geography
-- **usage_pct**: Percentage of total usage (relative to parent geography - global for countries, parent country for country-state regions)
-
-#### Content Facet Metrics
-**O*NET Task Metrics**:
-- **onet_task_count**: Number of conversations using this specific O*NET task
-- **onet_task_pct**: Percentage of geographic total using this task
-- **onet_task_pct_index**: Specialization index comparing task usage to baseline (global for countries, parent country for country-state regions)
-- **onet_task_collaboration_count**: Number of conversations with both this task and collaboration pattern (intersection)
-- **onet_task_collaboration_pct**: Percentage of the base task's total that has this collaboration pattern (sums to 100% within each task)
-
-#### Occupation Metrics
-- **soc_pct**: Percentage of classified O*NET tasks associated with this SOC major occupation group (e.g., Management, Computer and Mathematical)
-
-**Request Metrics**:
-- **request_count**: Number of conversations in this request category level
-- **request_pct**: Percentage of geographic total in this category
-- **request_collaboration_count**: Number of conversations with both this request category and collaboration pattern (intersection)
-- **request_collaboration_pct**: Percentage of the base request's total that has this collaboration pattern (sums to 100% within each request)
-
-**Collaboration Pattern Metrics**:
-- **collaboration_count**: Number of conversations with this collaboration pattern
-- **collaboration_pct**: Percentage of geographic total with this pattern
-
-**Multitasking Metrics**:
-- **multitasking_count**: Number of conversations with this multitasking status
-- **multitasking_pct**: Percentage of geographic total with this status
-
-**Human-Only Ability Metrics**:
-- **human_only_ability_count**: Number of conversations with this human-only ability status
-- **human_only_ability_pct**: Percentage of geographic total with this status
-
-**Use Case Metrics**:
-- **use_case_count**: Number of conversations in this use case category
-- **use_case_pct**: Percentage of geographic total in this category
-
-**Task Success Metrics**:
-- **task_success_count**: Number of conversations with this task success status
-- **task_success_pct**: Percentage of geographic total with this status
-
-#### Numeric Facet Metrics
-For numeric facets (human_only_time, human_with_ai_time, ai_autonomy, human_education_years, ai_education_years), the following distribution statistics are available:
-
-- **{facet}_mean**: Mean value across all conversations
-- **{facet}_median**: Median value across all conversations
-- **{facet}_stdev**: Standard deviation of values
-- **{facet}_mean_ci_lower**: Lower bound of 95% confidence interval for the mean
-- **{facet}_mean_ci_upper**: Upper bound of 95% confidence interval for the mean
-- **{facet}_median_ci_lower**: Lower bound of 95% confidence interval for the median
-- **{facet}_median_ci_upper**: Upper bound of 95% confidence interval for the median
-- **{facet}_count**: Total number of observations for this facet
-- **{facet}_histogram_count**: Count of observations in each histogram bin (one row per bin, bin range in cluster_name, e.g., "[1.0, 1.0)")
-- **{facet}_histogram_pct**: Percentage of observations in each histogram bin (one row per bin)
-
-For numeric intersection facets (e.g., onet_task::human_only_time), the same metrics are available per category (e.g., per O*NET task), with cluster_name containing the category identifier:
-- **{base}_{numeric}_mean**: Mean value for this category
-- **{base}_{numeric}_median**: Median value for this category
-- **{base}_{numeric}_stdev**: Standard deviation for this category
-- **{base}_{numeric}_count**: Number of observations for this category
-- **{base}_{numeric}_mean_ci_lower/upper**: 95% CI bounds for the mean
-- **{base}_{numeric}_median_ci_lower/upper**: 95% CI bounds for the median
-
-#### Special Values
-- **not_classified**: Indicates data that was filtered for privacy protection or could not be classified
-- **none**: Indicates the absence of the attribute (e.g., no collaboration, no task selected)
-
-### Data Processing Notes
-- **Minimum Observations**: 200 conversations per country, 100 per country-state region (applied in enrichment step, not raw preprocessing)
-- **not_classified**:
-  - For regular facets: Captures filtered/unclassified conversations
-  - For intersection facets: Each base cluster has its own not_classified (e.g., "task1::not_classified")
-- **Intersection Percentages**: Calculated relative to base cluster totals, ensuring each base cluster's percentages sum to 100%
-- **Country Codes**: ISO-3166-1 format for countries, three letter codes in the enriched file (e.g., "USA", "GBR", "FRA") and two letter codes in the raw file (e.g., "US", "GB", "FR"); ISO 3166-2 format for country-state regions (e.g., "AGO-LUA", "ALB-02" in enriched file, or "US-CA" in raw file)
-- **Variable Definitions**: See Core Variables section above
-
-## 1P API Usage Data
-
-### Overview
-Dataset containing first-party API usage metrics along various dimensions based on a sample of 1P API traffic and analyzed using privacy-preserving methods.
-
-**Note**: Unlike Claude.ai data, API data has **no geographic breakdowns** (no country or country-state facets). All API metrics are reported at global level only (`geography: "global"`, `geo_id: "GLOBAL"`).
-
-**Source file**: `aei_raw_1p_api_2025-11-13_to_2025-11-20.csv` (in data/intermediate/)
-
-### Data Schema
-Each row represents one metric value for a specific facet combination at global level:
-
-| Column | Type | Description |
-|--------|------|-------------|
-| `geo_id` | string | Geographic identifier (always "GLOBAL" for API data) |
-| `geography` | string | Geographic level (always "global" for API data) |
-| `date_start` | date | Start of data collection period |
-| `date_end` | date | End of data collection period |
-| `platform_and_product` | string | "1P API" |
-| `facet` | string | Analysis dimension (see Facets below) |
-| `level` | integer | Sub-level within facet (0-2) |
-| `variable` | string | Metric name (see Variables below) |
-| `cluster_name` | string | Specific entity within facet. For intersections, format is "base::category" or "base::index"/"base::count" for mean value metrics |
-| `value` | float | Numeric metric value |
-
-### Facets
-
-**Content Facets:**
-- **onet_task**: O*NET occupational tasks
-- **collaboration**: Human-AI collaboration patterns
-- **request**: Request categories (hierarchical levels 0-2 from bottom-up taxonomy)
-- **multitasking**: Whether conversation involves single or multiple tasks
-- **human_only_ability**: Whether a human could complete the task without AI assistance
-- **use_case**: Use case categories (work, coursework, personal)
-- **task_success**: Whether the task was successfully completed
-
-**Numeric Facets** (continuous variables with distribution statistics):
-- **human_only_time**: Estimated time for a human to complete the task without AI
-- **human_with_ai_time**: Estimated time for a human to complete the task with AI assistance
-- **ai_autonomy**: Degree of AI autonomy in task completion
-- **human_education_years**: Estimated years of human education required for the task
-- **ai_education_years**: Estimated equivalent years of AI "education" demonstrated
-
-**Intersection Facets:**
-- **onet_task::collaboration**: Intersection of O*NET tasks and collaboration patterns
-- **onet_task::multitasking**: Intersection of O*NET tasks and multitasking status
-- **onet_task::human_only_ability**: Intersection of O*NET tasks and human-only ability
-- **onet_task::use_case**: Intersection of O*NET tasks and use case categories
-- **onet_task::task_success**: Intersection of O*NET tasks and task success
-- **onet_task::human_only_time**: Mean human-only time per O*NET task
-- **onet_task::human_with_ai_time**: Mean human-with-AI time per O*NET task
-- **onet_task::ai_autonomy**: Mean AI autonomy per O*NET task
-- **onet_task::human_education_years**: Mean human education years per O*NET task
-- **onet_task::ai_education_years**: Mean AI education years per O*NET task
-- **onet_task::cost**: Mean cost per O*NET task (indexed, 1.0 = average)
-- **onet_task::prompt_tokens**: Mean prompt tokens per O*NET task (indexed, 1.0 = average)
-- **onet_task::completion_tokens**: Mean completion tokens per O*NET task (indexed, 1.0 = average)
-- **request::collaboration**: Intersection of request categories and collaboration patterns
-- **request::multitasking**: Intersection of request categories and multitasking status
-- **request::human_only_ability**: Intersection of request categories and human-only ability
-- **request::use_case**: Intersection of request categories and use case categories
-- **request::task_success**: Intersection of request categories and task success
-- **request::human_only_time**: Mean human-only time per request category
-- **request::human_with_ai_time**: Mean human-with-AI time per request category
-- **request::ai_autonomy**: Mean AI autonomy per request category
-- **request::human_education_years**: Mean human education years per request category
-- **request::ai_education_years**: Mean AI education years per request category
-- **request::cost**: Mean cost per request category (indexed, 1.0 = average)
-- **request::prompt_tokens**: Mean prompt tokens per request category (indexed, 1.0 = average)
-- **request::completion_tokens**: Mean completion tokens per request category (indexed, 1.0 = average)
-
-### Core Variables
-
-#### Content Facet Metrics
-**O*NET Task Metrics**:
-- **onet_task_count**: Number of 1P API records using this specific O*NET task
-- **onet_task_pct**: Percentage of total using this task
-
-**Request Metrics**:
-- **request_count**: Number of 1P API records in this request category
-- **request_pct**: Percentage of total in this category
-
-**Collaboration Pattern Metrics**:
-- **collaboration_count**: Number of 1P API records with this collaboration pattern
-- **collaboration_pct**: Percentage of total with this pattern
-
-**Multitasking Metrics**:
-- **multitasking_count**: Number of records with this multitasking status
-- **multitasking_pct**: Percentage of total with this status
-
-**Human-Only Ability Metrics**:
-- **human_only_ability_count**: Number of records with this human-only ability status
-- **human_only_ability_pct**: Percentage of total with this status
-
-**Use Case Metrics**:
-- **use_case_count**: Number of records in this use case category
-- **use_case_pct**: Percentage of total in this category
-
-**Task Success Metrics**:
-- **task_success_count**: Number of records with this task success status
-- **task_success_pct**: Percentage of total with this status
-
-#### Numeric Facet Metrics
-For numeric facets (human_only_time, human_with_ai_time, ai_autonomy, human_education_years, ai_education_years), the following distribution statistics are available:
-
-- **{facet}_mean**: Mean value across all records
-- **{facet}_median**: Median value across all records
-- **{facet}_stdev**: Standard deviation of values
-- **{facet}_mean_ci_lower**: Lower bound of 95% confidence interval for the mean
-- **{facet}_mean_ci_upper**: Upper bound of 95% confidence interval for the mean
-- **{facet}_median_ci_lower**: Lower bound of 95% confidence interval for the median
-- **{facet}_median_ci_upper**: Upper bound of 95% confidence interval for the median
-- **{facet}_count**: Total number of observations for this facet
-- **{facet}_histogram_count**: Count of observations in each histogram bin (one row per bin)
-- **{facet}_histogram_pct**: Percentage of observations in each histogram bin (one row per bin)
-
-#### Indexed Facet Metrics (API-specific)
-For indexed facets (cost_index, prompt_tokens_index, completion_tokens_index), values are normalized so that 1.0 represents the average:
-
-- **{facet}_index**: Re-indexed mean value (1.0 = average across all categories)
-- **{facet}_count**: Number of records for this metric
-
-#### Intersection Metrics
-For categorical intersections (e.g., onet_task::collaboration):
-- **{base}_{secondary}_count**: Records with both this base category and secondary category
-- **{base}_{secondary}_pct**: Percentage of the base category's total with this secondary category
-
-For numeric intersections (e.g., onet_task::human_only_time):
-- **{base}_{numeric}_mean**: Mean value for this category
-- **{base}_{numeric}_median**: Median value for this category
-- **{base}_{numeric}_stdev**: Standard deviation for this category
-- **{base}_{numeric}_count**: Number of observations for this category
-- **{base}_{numeric}_mean_ci_lower/upper**: 95% CI bounds for the mean
-- **{base}_{numeric}_median_ci_lower/upper**: 95% CI bounds for the median
-
-## External Data Sources
-
-We use external data to enrich Claude usage data with external economic and demographic sources.
-
-### ISO Country Codes
-
-**ISO 3166 Country Codes**
-
-International standard codes for representing countries and territories, used for mapping IP-based geolocation data to standardized country identifiers.
-
-- **Standard**: ISO 3166-1
-- **Source**: GeoNames geographical database
-- **URL**: https://download.geonames.org/export/dump/countryInfo.txt
-- **License**: Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/)
-- **Attribution note**: Data in the data/intermediate and data/output folders have been processed and modified from original source; modifications to data in data/intermediate include extracting only tabular data, selecting a subset of columns, and renaming columns; modifications to data in data/output include transforming data to long format
-- **Download date**: September 2, 2025
-- **Output files**:
-  - `geonames_countryInfo.txt` (raw GeoNames data in data/input/)
-  - `iso_country_codes.csv` (processed country codes in data/intermediate/)
-- **Key fields**:
-  - `iso_alpha_2`: Two-letter country code (e.g., "US", "GB", "FR")
-  - `iso_alpha_3`: Three-letter country code (e.g., "USA", "GBR", "FRA")
-  - `country_name`: Country name from GeoNames
-- **Usage**: Maps IP-based country identification to standardized ISO codes for consistent geographic aggregation
-
-### ISO Region Code Mapping
-
-Region-level geographic data uses ISO 3166-2 standard subdivision codes. Some countries were excluded from region-level analysis due to mapping issues between source data codes and ISO 3166-2 standards. Country-level data remains available for all countries.

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release_2026_03_24/data_documentation.md

@@ -1,315 +0,0 @@
-# Data Documentation
-
-This document describes the data sources and variables used in the fourth Anthropic Economic Index (AEI) report.
-
-## Claude.ai Usage Data
-
-### Overview
-The core dataset contains Claude.ai usage metrics aggregated by geography and analysis dimensions (facets).
-
-**Source files**:
-- `aei_raw_claude_ai_2026-02-05_to_2026-02-12.csv` 
-
-**Note on data sources**: The AEI raw file contains raw counts and percentages.
-
-### Data Schema
-Each row represents one metric value for a specific geography and facet combination:
-
-| Column | Type | Description |
-|--------|------|-------------|
-| `geo_id` | string | Geographic identifier (ISO-3166-1 country code for countries, ISO 3166-2 region code for country-state, or "GLOBAL"). Examples: "USA", "AGO-LUA" (Angola-Luanda), "ALB-02" (Albania-Fier) (raw version uses 2- instead of 3-letter country codes) |
-| `geography` | string | Geographic level: "country", "country-state", or "global" |
-| `date_start` | date | Start of data collection period |
-| `date_end` | date | End of data collection period |
-| `platform_and_product` | string | "Claude AI (Free and Pro)" |
-| `facet` | string | Analysis dimension (see Facets below) |
-| `level` | integer | Sub-level within facet (0-2) |
-| `variable` | string | Metric name (see Variables below) |
-| `cluster_name` | string | Specific entity within facet (task, pattern, etc.). For intersections, format is "base::category" |
-| `value` | float | Numeric metric value |
-
-### Facets
-
-**Geographic Facets:**
-- **country**: Country-level aggregations
-- **country-state**: Subnational region aggregations (ISO 3166-2 regions globally)
-
-**Content Facets:**
-- **onet_task**: O*NET occupational tasks
-- **collaboration**: Human-AI collaboration patterns
-- **request**: Request complexity levels (0=highest granularity, 1=middle granularity, 2=lowest granularity)
-- **multitasking**: Whether conversation involves single or multiple tasks
-- **human_only_ability**: Whether a human could complete the task without AI assistance
-- **use_case**: Use case categories (work, coursework, personal)
-- **task_success**: Whether the task was successfully completed
-
-**Numeric Facets** (continuous variables with distribution statistics):
-- **human_only_time**: Estimated time for a human to complete the task without AI
-- **human_with_ai_time**: Estimated time for a human to complete the task with AI assistance
-- **ai_autonomy**: Degree of AI autonomy in task completion
-- **human_education_years**: Estimated years of human education required for the task
-- **ai_education_years**: Estimated equivalent years of AI "education" demonstrated
-
-**Intersection Facets:**
-- **onet_task::collaboration**: Intersection of O*NET tasks and collaboration patterns
-- **onet_task::multitasking**: Intersection of O*NET tasks and multitasking status
-- **onet_task::human_only_ability**: Intersection of O*NET tasks and human-only ability
-- **onet_task::use_case**: Intersection of O*NET tasks and use case categories
-- **onet_task::task_success**: Intersection of O*NET tasks and task success
-- **onet_task::human_only_time**: Mean human-only time per O*NET task
-- **onet_task::human_with_ai_time**: Mean human-with-AI time per O*NET task
-- **onet_task::ai_autonomy**: Mean AI autonomy per O*NET task
-- **onet_task::human_education_years**: Mean human education years per O*NET task
-- **onet_task::ai_education_years**: Mean AI education years per O*NET task
-- **request::collaboration**: Intersection of request categories and collaboration patterns
-- **request::multitasking**: Intersection of request categories and multitasking status
-- **request::human_only_ability**: Intersection of request categories and human-only ability
-- **request::use_case**: Intersection of request categories and use case categories
-- **request::task_success**: Intersection of request categories and task success
-- **request::human_only_time**: Mean human-only time per request category
-- **request::human_with_ai_time**: Mean human-with-AI time per request category
-- **request::ai_autonomy**: Mean AI autonomy per request category
-- **request::human_education_years**: Mean human education years per request category
-- **request::ai_education_years**: Mean AI education years per request category
-
-### Core Variables
-
-Variables follow the pattern `{prefix}_{suffix}` with specific meanings:
-
-**From AEI raw file**: `*_count`, `*_pct`
-
-#### Usage Metrics
-- **usage_count**: Total number of conversations/interactions in a geography
-- **usage_pct**: Percentage of total usage (relative to parent geography - global for countries, parent country for country-state regions)
-
-#### Content Facet Metrics
-**O*NET Task Metrics**:
-- **onet_task_count**: Number of conversations using this specific O*NET task
-- **onet_task_pct**: Percentage of geographic total using this task
-- **onet_task_pct_index**: Specialization index comparing task usage to baseline (global for countries, parent country for country-state regions)
-- **onet_task_collaboration_count**: Number of conversations with both this task and collaboration pattern (intersection)
-- **onet_task_collaboration_pct**: Percentage of the base task's total that has this collaboration pattern (sums to 100% within each task)
-
-#### Occupation Metrics
-- **soc_pct**: Percentage of classified O*NET tasks associated with this SOC major occupation group (e.g., Management, Computer and Mathematical)
-
-**Request Metrics**:
-- **request_count**: Number of conversations in this request category level
-- **request_pct**: Percentage of geographic total in this category
-- **request_collaboration_count**: Number of conversations with both this request category and collaboration pattern (intersection)
-- **request_collaboration_pct**: Percentage of the base request's total that has this collaboration pattern (sums to 100% within each request)
-
-**Collaboration Pattern Metrics**:
-- **collaboration_count**: Number of conversations with this collaboration pattern
-- **collaboration_pct**: Percentage of geographic total with this pattern
-
-**Multitasking Metrics**:
-- **multitasking_count**: Number of conversations with this multitasking status
-- **multitasking_pct**: Percentage of geographic total with this status
-
-**Human-Only Ability Metrics**:
-- **human_only_ability_count**: Number of conversations with this human-only ability status
-- **human_only_ability_pct**: Percentage of geographic total with this status
-
-**Use Case Metrics**:
-- **use_case_count**: Number of conversations in this use case category
-- **use_case_pct**: Percentage of geographic total in this category
-
-**Task Success Metrics**:
-- **task_success_count**: Number of conversations with this task success status
-- **task_success_pct**: Percentage of geographic total with this status
-
-#### Numeric Facet Metrics
-For numeric facets (human_only_time, human_with_ai_time, ai_autonomy, human_education_years, ai_education_years), the following distribution statistics are available:
-
-- **{facet}_mean**: Mean value across all conversations
-- **{facet}_median**: Median value across all conversations
-- **{facet}_stdev**: Standard deviation of values
-- **{facet}_mean_ci_lower**: Lower bound of 95% confidence interval for the mean
-- **{facet}_mean_ci_upper**: Upper bound of 95% confidence interval for the mean
-- **{facet}_median_ci_lower**: Lower bound of 95% confidence interval for the median
-- **{facet}_median_ci_upper**: Upper bound of 95% confidence interval for the median
-- **{facet}_count**: Total number of observations for this facet
-- **{facet}_histogram_count**: Count of observations in each histogram bin (one row per bin, bin range in cluster_name, e.g., "[1.0, 1.0)")
-- **{facet}_histogram_pct**: Percentage of observations in each histogram bin (one row per bin)
-
-For numeric intersection facets (e.g., onet_task::human_only_time), the same metrics are available per category (e.g., per O*NET task), with cluster_name containing the category identifier:
-- **{base}_{numeric}_mean**: Mean value for this category
-- **{base}_{numeric}_median**: Median value for this category
-- **{base}_{numeric}_stdev**: Standard deviation for this category
-- **{base}_{numeric}_count**: Number of observations for this category
-- **{base}_{numeric}_mean_ci_lower/upper**: 95% CI bounds for the mean
-- **{base}_{numeric}_median_ci_lower/upper**: 95% CI bounds for the median
-
-#### Special Values
-- **not_classified**: Indicates data that was filtered for privacy protection or could not be classified
-- **none**: Indicates the absence of the attribute (e.g., no collaboration, no task selected)
-
-### Data Processing Notes
-- **Minimum Observations**: 200 conversations per country, 100 per country-state region (applied in enrichment step, not raw preprocessing)
-- **not_classified**:
-  - For regular facets: Captures filtered/unclassified conversations
-  - For intersection facets: Each base cluster has its own not_classified (e.g., "task1::not_classified")
-- **Intersection Percentages**: Calculated relative to base cluster totals, ensuring each base cluster's percentages sum to 100%
-- **Country Codes**: ISO-3166-1 format for countries, three letter codes in the enriched file (e.g., "USA", "GBR", "FRA") and two letter codes in the raw file (e.g., "US", "GB", "FR"); ISO 3166-2 format for country-state regions (e.g., "AGO-LUA", "ALB-02" in enriched file, or "US-CA" in raw file)
-- **Variable Definitions**: See Core Variables section above
-
-## 1P API Usage Data
-
-### Overview
-Dataset containing first-party API usage metrics along various dimensions based on a sample of 1P API traffic and analyzed using privacy-preserving methods.
-
-**Note**: Unlike Claude.ai data, API data has **no geographic breakdowns** (no country or country-state facets). All API metrics are reported at global level only (`geography: "global"`, `geo_id: "GLOBAL"`).
-
-**Source file**: `aei_raw_1p_api_2026-02-05_to_2026-02-12.csv` 
-
-### Data Schema
-Each row represents one metric value for a specific facet combination at global level:
-
-| Column | Type | Description |
-|--------|------|-------------|
-| `geo_id` | string | Geographic identifier (always "GLOBAL" for API data) |
-| `geography` | string | Geographic level (always "global" for API data) |
-| `date_start` | date | Start of data collection period |
-| `date_end` | date | End of data collection period |
-| `platform_and_product` | string | "1P API" |
-| `facet` | string | Analysis dimension (see Facets below) |
-| `level` | integer | Sub-level within facet (0-2) |
-| `variable` | string | Metric name (see Variables below) |
-| `cluster_name` | string | Specific entity within facet. For intersections, format is "base::category" or "base::index"/"base::count" for mean value metrics |
-| `value` | float | Numeric metric value |
-
-### Facets
-
-**Content Facets:**
-- **onet_task**: O*NET occupational tasks
-- **collaboration**: Human-AI collaboration patterns
-- **request**: Request categories (hierarchical levels 0-2 from bottom-up taxonomy)
-- **multitasking**: Whether conversation involves single or multiple tasks
-- **human_only_ability**: Whether a human could complete the task without AI assistance
-- **use_case**: Use case categories (work, coursework, personal)
-- **task_success**: Whether the task was successfully completed
-
-**Numeric Facets** (continuous variables with distribution statistics):
-- **human_only_time**: Estimated time for a human to complete the task without AI
-- **human_with_ai_time**: Estimated time for a human to complete the task with AI assistance
-- **ai_autonomy**: Degree of AI autonomy in task completion
-- **human_education_years**: Estimated years of human education required for the task
-- **ai_education_years**: Estimated equivalent years of AI "education" demonstrated
-
-**Intersection Facets:**
-- **onet_task::collaboration**: Intersection of O*NET tasks and collaboration patterns
-- **onet_task::multitasking**: Intersection of O*NET tasks and multitasking status
-- **onet_task::human_only_ability**: Intersection of O*NET tasks and human-only ability
-- **onet_task::use_case**: Intersection of O*NET tasks and use case categories
-- **onet_task::task_success**: Intersection of O*NET tasks and task success
-- **onet_task::human_only_time**: Mean human-only time per O*NET task
-- **onet_task::human_with_ai_time**: Mean human-with-AI time per O*NET task
-- **onet_task::ai_autonomy**: Mean AI autonomy per O*NET task
-- **onet_task::human_education_years**: Mean human education years per O*NET task
-- **onet_task::ai_education_years**: Mean AI education years per O*NET task
-- **onet_task::cost**: Mean cost per O*NET task (indexed, 1.0 = average)
-- **onet_task::prompt_tokens**: Mean prompt tokens per O*NET task (indexed, 1.0 = average)
-- **onet_task::completion_tokens**: Mean completion tokens per O*NET task (indexed, 1.0 = average)
-- **request::collaboration**: Intersection of request categories and collaboration patterns
-- **request::multitasking**: Intersection of request categories and multitasking status
-- **request::human_only_ability**: Intersection of request categories and human-only ability
-- **request::use_case**: Intersection of request categories and use case categories
-- **request::task_success**: Intersection of request categories and task success
-- **request::human_only_time**: Mean human-only time per request category
-- **request::human_with_ai_time**: Mean human-with-AI time per request category
-- **request::ai_autonomy**: Mean AI autonomy per request category
-- **request::human_education_years**: Mean human education years per request category
-- **request::ai_education_years**: Mean AI education years per request category
-- **request::cost**: Mean cost per request category (indexed, 1.0 = average)
-- **request::prompt_tokens**: Mean prompt tokens per request category (indexed, 1.0 = average)
-- **request::completion_tokens**: Mean completion tokens per request category (indexed, 1.0 = average)
-
-### Core Variables
-
-#### Content Facet Metrics
-**O*NET Task Metrics**:
-- **onet_task_count**: Number of 1P API records using this specific O*NET task
-- **onet_task_pct**: Percentage of total using this task
-
-**Request Metrics**:
-- **request_count**: Number of 1P API records in this request category
-- **request_pct**: Percentage of total in this category
-
-**Collaboration Pattern Metrics**:
-- **collaboration_count**: Number of 1P API records with this collaboration pattern
-- **collaboration_pct**: Percentage of total with this pattern
-
-**Multitasking Metrics**:
-- **multitasking_count**: Number of records with this multitasking status
-- **multitasking_pct**: Percentage of total with this status
-
-**Human-Only Ability Metrics**:
-- **human_only_ability_count**: Number of records with this human-only ability status
-- **human_only_ability_pct**: Percentage of total with this status
-
-**Use Case Metrics**:
-- **use_case_count**: Number of records in this use case category
-- **use_case_pct**: Percentage of total in this category
-
-**Task Success Metrics**:
-- **task_success_count**: Number of records with this task success status
-- **task_success_pct**: Percentage of total with this status
-
-#### Numeric Facet Metrics
-For numeric facets (human_only_time, human_with_ai_time, ai_autonomy, human_education_years, ai_education_years), the following distribution statistics are available:
-
-- **{facet}_mean**: Mean value across all records
-- **{facet}_median**: Median value across all records
-- **{facet}_stdev**: Standard deviation of values
-- **{facet}_mean_ci_lower**: Lower bound of 95% confidence interval for the mean
-- **{facet}_mean_ci_upper**: Upper bound of 95% confidence interval for the mean
-- **{facet}_median_ci_lower**: Lower bound of 95% confidence interval for the median
-- **{facet}_median_ci_upper**: Upper bound of 95% confidence interval for the median
-- **{facet}_count**: Total number of observations for this facet
-- **{facet}_histogram_count**: Count of observations in each histogram bin (one row per bin)
-- **{facet}_histogram_pct**: Percentage of observations in each histogram bin (one row per bin)
-
-#### Indexed Facet Metrics (API-specific)
-For indexed facets (cost_index, prompt_tokens_index, completion_tokens_index), values are normalized so that 1.0 represents the average:
-
-- **{facet}_index**: Re-indexed mean value (1.0 = average across all categories)
-- **{facet}_count**: Number of records for this metric
-
-#### Intersection Metrics
-For categorical intersections (e.g., onet_task::collaboration):
-- **{base}_{secondary}_count**: Records with both this base category and secondary category
-- **{base}_{secondary}_pct**: Percentage of the base category's total with this secondary category
-
-For numeric intersections (e.g., onet_task::human_only_time):
-- **{base}_{numeric}_mean**: Mean value for this category
-- **{base}_{numeric}_median**: Median value for this category
-- **{base}_{numeric}_stdev**: Standard deviation for this category
-- **{base}_{numeric}_count**: Number of observations for this category
-- **{base}_{numeric}_mean_ci_lower/upper**: 95% CI bounds for the mean
-- **{base}_{numeric}_median_ci_lower/upper**: 95% CI bounds for the median
-
-## External Data Sources
-
-We use external data to enrich Claude usage data with external economic and demographic sources.
-
-### ISO Country Codes
-
-**ISO 3166 Country Codes**
-
-International standard codes for representing countries and territories, used for mapping IP-based geolocation data to standardized country identifiers.
-
-- **Standard**: ISO 3166-1
-- **Source**: GeoNames geographical database
-- **URL**: https://download.geonames.org/export/dump/countryInfo.txt
-- **License**: Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/)
-- **Download date**: September 2, 2025
-- **Key fields**:
-  - `iso_alpha_2`: Two-letter country code (e.g., "US", "GB", "FR")
-  - `iso_alpha_3`: Three-letter country code (e.g., "USA", "GBR", "FRA")
-  - `country_name`: Country name from GeoNames
-- **Usage**: Maps IP-based country identification to standardized ISO codes for consistent geographic aggregation
-
-### ISO Region Code Mapping
-
-Region-level geographic data uses ISO 3166-2 standard subdivision codes. Some countries were excluded from region-level analysis due to mapping issues between source data codes and ISO 3166-2 standards. Country-level data remains available for all countries.