Homeland Security, Law Enforcement, Firefighting and Related Protective Services
Field of study · CIP 2020
Homeland Security, Law Enforcement, Firefighting and Related Protective Services is one of the fields of study in the U.S. Department of Education's Classification of Instructional Programs (CIP). It contains 37 detailed programs and, through the official CIP–SOC crosswalk, connects to 34 occupations employing about 7,132,340 workers, with a median wage of $77,185. The crosswalk shows which jobs a field of study is related to — not a guarantee of entry.
What the occupations pay
Median annual wage across the occupations this field of study leads to, from BLS OEWS (national, cross-industry, May 2024). The middle range is the 25th–75th percentile of those occupation medians — it describes the field, not any one job or graduate.
| Median occupation wage | $77,185 |
| Middle range (p25–p75) | $59,300 – $87,648 |
| Occupations with wage data | 32 of 34 |
AI exposure of this field of study
Two published studies estimate how exposed each occupation is to today's AI. The OpenAI "GPTs are GPTs" study rates the share of an occupation's tasks a large language model (with tools) could speed up by half or more; averaged across the occupations this field of study leads to it is 38% — 40th percentile of all fields of study. The independent Felten/Raj/Seamans AI Occupational Exposure index averages 0.29 here.
Computed across the 30 of 34 occupations this field leads to that carry a published exposure score.
The most-exposed fields of study lead to knowledge, language and analytical work; the least-exposed lead to physical trades and hands-on production. Exposure measures where AI could assist tasks, not a prediction that these jobs will be automated; high exposure most often means augmentation. Bands are comparable across the cluster, education, job-zone and field-of-study tiers (same two studies, same percentile method).
Where this field of study leads
The largest occupations connected to this field by the CIP–SOC crosswalk, by employment. Wage and employment describe the occupation, not an individual.
Programs in this field
A sample of the detailed CIP programs within this family. The full family contains 37 programs.
- 43.0102 Corrections
- 43.0113 Corrections Administration
- 43.0199 Corrections and Criminal Justice, Other
- 43.0100 Criminal Justice and Corrections, General
- 43.0103 Criminal Justice/Law Enforcement Administration
- 43.0107 Criminal Justice/Police Science
- 43.0104 Criminal Justice/Safety Studies
- 43.0402 Criminalistics and Criminal Science
- 43.0302 Crisis/Emergency/Disaster Management
- 43.0119 Critical Incident Response/Special Police Operations
- 43.0303 Critical Infrastructure Protection
- 43.0123 Cultural/Archaelogical Resources Protection
- 43.0403 Cyber/Computer Forensics and Counterterrorism
- 43.0404 Cybersecurity Defense Strategy/Policy
- 43.0405 Financial Forensics and Fraud Investigation
- 43.0201 Fire Prevention and Safety Technology/Technician
- 43.0299 Fire Protection, Other
- 43.0203 Fire Science/Fire-fighting
- 43.0202 Fire Services Administration
- 43.0205 Fire/Arson Investigation and Prevention
- 43.0406 Forensic Science and Technology
- 43.0407 Geospatial Intelligence
- 43.0301 Homeland Security
- 43.0399 Homeland Security, Other
- 43.0110 Juvenile Corrections
- 43.0408 Law Enforcement Intelligence Analysis
- 43.0114 Law Enforcement Investigation and Interviewing
- 43.0115 Law Enforcement Record-Keeping and Evidence Management
- 43.0122 Maritime Law Enforcement
- 43.0120 Protective Services Operations
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- CIP-2020 2020 U.S. National Center for Education Statistics
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Homeland Security, Law Enforcement, Firefighting and Related Protective Services." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; CIP-2020 2020; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/programs/homeland-security-law-enforcement-firefighting-and-related-protective-services
Singulariki. (2026). Homeland Security, Law Enforcement, Firefighting and Related Protective Services. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/programs/homeland-security-law-enforcement-firefighting-and-related-protective-services
@misc{singulariki-homeland-security-law-enforcement-firefighting-and-related-protective-services,
title = {Homeland Security, Law Enforcement, Firefighting and Related Protective Services},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; CIP-2020 2020; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/programs/homeland-security-law-enforcement-firefighting-and-related-protective-services}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.