entityType = "role"
schemaVersion = "role.v1"
slug = "role-33-9021-00"
socCode = "33-9021.00"
title = "Private Detectives and Investigators"
summary = "Gather, analyze, compile, and report information regarding individuals or organizations to clients, or detect occurrences of unlawful acts or infractions of rules in private establishment."
aliases = ["Investigator", "Loss Prevention Detective", "Loss Prevention Officer", "Private Investigator", "Asset Protection Detective", "Field Investigator", "Loss Prevention Agent", "Loss Prevention Associate", "Loss Prevention Investigator", "Special Investigator", "AML Investigator (Anti Money Laundering Investigator)", "Alarm Investigator"]

[preparation]
jobZone = "3"
jobZoneName = "Job Zone Three: Medium Preparation Needed"
education = "Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree."
experience = "Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job."
svpRange = "(6.0 to < 7.0)"

[[preparation.educationDistribution]]
label = "Bachelor's Degree"
percentage = 37.69

[[preparation.educationDistribution]]
label = "High School Diploma"
percentage = 25.11

[[preparation.educationDistribution]]
label = "Associate's Degree (or other 2-year degree)"
percentage = 16.41

[[preparation.educationDistribution]]
label = "Some College Courses"
percentage = 12.07

[[preparation.educationDistribution]]
label = "Post-Baccalaureate Certificate"
percentage = 4.46

[[preparation.educationDistribution]]
label = "Post-Secondary Certificate"
percentage = 4.25

[educationLevel]
category = "High school diploma or equivalent"
slug = "high-school-diploma-or-equivalent"

[market]
medianWage = 52370
meanWage = 61680
pct10Wage = 37250
pct25Wage = 41940
pct75Wage = 75310
pct90Wage = 98770
employment = 38700
areaTitle = "U.S."

[industries]
count = 18

[[industries.top]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 14280
medianWage = 42500
lq = 3.65

[[industries.top]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 8130
medianWage = 52980
lq = 3.59

[[industries.top]]
naics = "52"
slug = "52"
title = "Finance and Insurance"
level = "Sector"
employment = 4770
medianWage = 74240
lq = 3.05

[[industries.top]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 2960
medianWage = 78700
lq = 1.1

[[industries.top]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 1580
medianWage = 77770
lq = 2.24

[[industries.top]]
naics = "81"
slug = "81"
title = "Other Services (except Public Administration)"
level = "Sector"
employment = 950
medianWage = 59840
lq = 0.86

[[industries.top]]
naics = "48-49"
slug = "48-49"
title = "Transportation and Warehousing"
level = "Sector"
employment = 880
medianWage = 82020
lq = 0.47

[[industries.top]]
naics = "51"
slug = "51"
title = "Information"
level = "Sector"
employment = 720
medianWage = 72140
lq = 0.99

[[industries.top]]
naics = "61"
slug = "61"
title = "Educational Services"
level = "Sector"
employment = 340
medianWage = 64940
lq = 0.1

[[industries.top]]
naics = "524114"
slug = "524114"
title = "Direct Health and Medical Insurance Carriers"
level = "National industry"
employment = 280
medianWage = 74960
lq = 2.48

[[industries.top]]
naics = "459110"
slug = "459110"
title = "Sporting Goods Retailers"
level = "National industry"
employment = 220
medianWage = 40090
lq = 2.94

[[industries.top]]
naics = "524210"
slug = "524210"
title = "Insurance Agencies and Brokerages"
level = "National industry"
employment = 170
medianWage = 103910
lq = 0.68

[[industries.concentrated]]
naics = "44-45"
slug = "44-45"
title = "Retail Trade"
level = "Sector"
employment = 14280
lq = 3.65

[[industries.concentrated]]
naics = "56"
slug = "56"
title = "Administrative and Support and Waste Management and Remediation Services"
level = "Sector"
employment = 8130
lq = 3.59

[[industries.concentrated]]
naics = "52"
slug = "52"
title = "Finance and Insurance"
level = "Sector"
employment = 4770
lq = 3.05

[[industries.concentrated]]
naics = "459110"
slug = "459110"
title = "Sporting Goods Retailers"
level = "National industry"
employment = 220
lq = 2.94

[[industries.concentrated]]
naics = "524114"
slug = "524114"
title = "Direct Health and Medical Insurance Carriers"
level = "National industry"
employment = 280
lq = 2.48

[[industries.concentrated]]
naics = "55"
slug = "55"
title = "Management of Companies and Enterprises"
level = "Sector"
employment = 1580
lq = 2.24

[[industries.concentrated]]
naics = "54"
slug = "54"
title = "Professional, Scientific, and Technical Services"
level = "Sector"
employment = 2960
lq = 1.1

[[industries.concentrated]]
naics = "51"
slug = "51"
title = "Information"
level = "Sector"
employment = 720
lq = 0.99

[aiOutlook]
teleworkable = true
usageRelease = "2026-01-15-v4-plus-2025-03-27-v2"

[aiOutlook.index]
value = 60
percentile = 59
band = "Moderate"
version = "ai-exposure-index-v1"
componentCount = 3

[[aiOutlook.index.components]]
percentile = 66
source = "felten_aioe"

[[aiOutlook.index.components]]
percentile = 56
source = "openai_gpts_are_gpts"

[[aiOutlook.index.components]]
percentile = 59
source = "microsoft_working_with_ai"

[aiOutlook.freyHistorical]
source = "frey"
label = "Computerization probability (Frey & Osborne, 2013)"
value = 0.31
percentile = 39
band = "Moderate"
note = "A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking."

[aiOutlook.eloundou]
alpha = 0.07407407407407407
beta = 0.38888888888888884
gamma = 0.7037037037037037

[aiOutlook.bls]
growthPercent = 6
growthPercentile = 80
direction = "About average"
annualOpeningsThousands = 3.9
annualOpeningsPercentile = 42
employment2024Thousands = 43.6
employment2034Thousands = 46.2

[[aiOutlook.exposure]]
source = "felten_aioe"
label = "Overall AI exposure (Felten et al.)"
value = 0.7483108
percentile = 66
band = "Moderate"
note = "How much this job's abilities overlap with what AI systems can do, across many AI capabilities. A relative research score, not a forecast of job loss."

[[aiOutlook.exposure]]
source = "eloundou_gamma"
label = "LLM task exposure, γ (OpenAI / Eloundou)"
value = 0.7037037037037037
percentile = 56
band = "Moderate"
note = "Share of this job's tasks where a large language model plus simple tools could cut the time to do them by at least half. γ is capped at 1.0 and many jobs reach that ceiling, so treat a top score as 'in the top group', not a precise rank."

[[aiOutlook.exposure]]
source = "microsoft_applicability"
label = "AI assistant applicability (Microsoft)"
value = 0.17185695598444217
percentile = 59
band = "Moderate"
note = "How applicable today's AI assistants are to this job's activities, measured from real Microsoft Copilot conversations. Applicability is not the same as replacement."

[[aiOutlook.usageTasks]]
task = "Write reports or case summaries to document investigations."
usagePercent = 0.006265175075695639
importance = 4.8

[[aiOutlook.usageTasks]]
task = "Obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases."
usagePercent = 0.002978525855658583
importance = 4.33

[[aiOutlook.sources]]
source = "bls_employment_projections"
version = "2024-2034"

[[aiOutlook.sources]]
source = "dingel_neiman"
version = "dingel-neiman-workathome"

[[aiOutlook.sources]]
source = "felten_aioe"
version = "felten-raj-seamans-aioe"

[[aiOutlook.sources]]
source = "frey_osborne"
version = "frey-osborne-automation"

[[aiOutlook.sources]]
source = "microsoft_working_with_ai"
version = "working-with-ai"

[[aiOutlook.sources]]
source = "openai_gpts_are_gpts"
version = "gpts-are-gpts"

[aiPlaybook]
trustedTaskCount = 1
taskCount = 2
totalSample = 60
autonomyMedian = 3
dominantCollaboration = "learning"
augmentationShare = 38.64
release = "2026-01-15-v4-plus-2025-03-27-v2"

[[aiPlaybook.collaboration]]
label = "learning"
percent = 38.64

[[aiPlaybook.useCase]]
label = "personal"
percent = 88.64

[[aiPlaybook.delegatedTasks]]
task = "Obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases."
usagePercent = 0.004400550068758595
collaboration = "learning"
autonomyMedian = 3
sampleCount = 44

[[aiPlaybook.boundaryTasks]]
task = "Obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases."
humanNeededPercent = 100
sampleCount = 44

[[aiPlaybook.seedPrompts]]
prompt = "Teach me how to obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases, then check my work as I try it myself."
collaboration = "learning"

[counts]
tasks = 14
skills = 41
capabilities = 120
tools = 12
relatedRoles = 20

[source]
dataset = "gold.onet_role_starter_surface"
version = "30.3"
generatedAt = "2026-06-02T21:00:32.945303+00:00"
contentHash = "127547ca43a592bd"

[[tasks]]
text = "Write reports or case summaries to document investigations."
type = "Core"
iwa = "4.A.3.b.6.b"

[[tasks]]
text = "Conduct private investigations on a paid basis."
type = "Core"
iwa = "4.A.1.a.1.o"

[[tasks]]
text = "Search computer databases, credit reports, public records, tax or legal filings, or other resources to locate persons or to compile information for investigations."
type = "Core"
iwa = "4.A.1.a.1.c"

[[tasks]]
text = "Expose fraudulent insurance claims or stolen funds."
type = "Core"
iwa = "4.A.1.a.1.c"

[[tasks]]
text = "Conduct personal background investigations, such as pre-employment checks, to obtain information about an individual's character, financial status, or personal history."
type = "Core"
iwa = "4.A.1.a.1.o"

[[tasks]]
text = "Obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases."
type = "Core"
iwa = "4.A.1.a.1.c"

[[tasks]]
text = "Testify at hearings or court trials to present evidence."
type = "Core"
iwa = "4.A.4.a.3.a"

[[tasks]]
text = "Question persons to obtain evidence for cases of divorce, child custody, or missing persons or information about individuals' character or financial status."
type = "Core"
iwa = "4.A.1.a.1.w"

[[tasks]]
text = "Observe and document activities of individuals to detect unlawful acts or to obtain evidence for cases, using binoculars and still or video cameras."
type = "Core"
iwa = "4.A.1.a.1.o"

[[tasks]]
text = "Investigate companies' financial standings, or locate funds stolen by embezzlers, using accounting skills."
type = "Supplemental"
iwa = "4.A.1.a.1.c"

[[tasks]]
text = "Perform undercover operations, such as evaluating the performance or honesty of employees by posing as customers or employees."
type = "Supplemental"
iwa = "4.A.1.a.1.o"

[[tasks]]
text = "Alert appropriate personnel to suspects' locations."
type = "Supplemental"
iwa = "4.A.4.a.2.g"

[[emergingTasks]]
text = "Serve documents to parties named in legal proceedings."

[[emergingTasks]]
text = "Use advanced technology, such as drones, GPS trackers, and surveillance cameras, to facilitate investigations."

[[activities]]
name = "Prepare investigation or incident reports."
iwa = "4.A.3.b.6.b"

[[activities]]
name = "Examine records or other types of data to investigate criminal activities."
iwa = "4.A.1.a.1.c"

[[activities]]
name = "Use databases to locate investigation details or other information."
iwa = "4.A.1.a.1.d"

[[activities]]
name = "Investigate personal characteristics or activities of individuals."
iwa = "4.A.1.a.1.o"

[[activities]]
name = "Testify at legal or legislative proceedings."
iwa = "4.A.4.a.3.a"

[[activities]]
name = "Interview people to obtain information about actions or status of individuals."
iwa = "4.A.1.a.1.w"

[[activities]]
name = "Observe individuals' activities to gather information or compile evidence."
iwa = "4.A.1.a.1.o"

[[activities]]
name = "Record crime or accident scene evidence with video or still cameras."
iwa = "4.A.3.b.6.e"

[[activities]]
name = "Communicate situation details to appropriate personnel."
iwa = "4.A.4.a.2.g"

[[activities]]
name = "Investigate crimes committed within organizations."
iwa = "4.A.1.a.1.c"

[[activities]]
name = "Collaborate with law enforcement or security agencies to respond to incidents."
iwa = "4.A.4.b.1.c"

[[activities]]
name = "Balance receipts."
iwa = "4.A.2.a.2.d"

[[capabilities]]
name = "English Language"
family = "knowledge"
value = 4.21

[[capabilities]]
name = "Customer and Personal Service"
family = "knowledge"
value = 4.16

[[capabilities]]
name = "Active Listening"
family = "essential_skill"
value = 4.12

[[capabilities]]
name = "Inductive Reasoning"
family = "ability"
value = 4.12

[[capabilities]]
name = "Law and Government"
family = "knowledge"
value = 4.02

[[capabilities]]
name = "Speaking"
family = "essential_skill"
value = 4

[[capabilities]]
name = "Oral Comprehension"
family = "ability"
value = 4

[[capabilities]]
name = "Oral Expression"
family = "ability"
value = 4

[[capabilities]]
name = "Problem Sensitivity"
family = "ability"
value = 4

[[capabilities]]
name = "Near Vision"
family = "ability"
value = 4

[[capabilities]]
name = "Reading Comprehension"
family = "essential_skill"
value = 3.88

[[capabilities]]
name = "Critical Thinking"
family = "essential_skill"
value = 3.88

[[capabilities]]
name = "Written Comprehension"
family = "ability"
value = 3.88

[[capabilities]]
name = "Written Expression"
family = "ability"
value = 3.88

[[capabilities]]
name = "Deductive Reasoning"
family = "ability"
value = 3.88

[[capabilities]]
name = "Complex Problem Solving"
family = "transferable_skill"
value = 3.75

[[capabilities]]
name = "Writing"
family = "essential_skill"
value = 3.62

[[capabilities]]
name = "Speech Recognition"
family = "ability"
value = 3.62

[[capabilities]]
name = "Speech Clarity"
family = "ability"
value = 3.62

[[capabilities]]
name = "Computers and Electronics"
family = "knowledge"
value = 3.56

[[capabilities]]
name = "Administrative"
family = "knowledge"
value = 3.55

[[capabilities]]
name = "Social Perceptiveness"
family = "transferable_skill"
value = 3.5

[[capabilities]]
name = "Administration and Management"
family = "knowledge"
value = 3.5

[[capabilities]]
name = "Information Ordering"
family = "ability"
value = 3.5

[[capabilities]]
name = "Public Safety and Security"
family = "knowledge"
value = 3.44

[[capabilities]]
name = "Active Learning"
family = "essential_skill"
value = 3.38

[[capabilities]]
name = "Monitoring"
family = "essential_skill"
value = 3.38

[[capabilities]]
name = "Judgment and Decision Making"
family = "transferable_skill"
value = 3.38

[[capabilities]]
name = "Selective Attention"
family = "ability"
value = 3.38

[[capabilities]]
name = "Psychology"
family = "knowledge"
value = 3.31

[[capabilities]]
name = "Flexibility of Closure"
family = "ability"
value = 3.25

[[capabilities]]
name = "Category Flexibility"
family = "ability"
value = 3.12

[[capabilities]]
name = "Far Vision"
family = "ability"
value = 3.12

[[capabilities]]
name = "Coordination"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Service Orientation"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Time Management"
family = "transferable_skill"
value = 3

[[capabilities]]
name = "Fluency of Ideas"
family = "ability"
value = 3

[[capabilities]]
name = "Originality"
family = "ability"
value = 3

[[capabilities]]
name = "Perceptual Speed"
family = "ability"
value = 3

[[capabilities]]
name = "Persuasion"
family = "transferable_skill"
value = 2.88

[[skills]]
name = "English Language"
type = "Common Skill"

[[skills]]
name = "Inductive Reasoning"
type = "Common Skill"

[[skills]]
name = "Active Listening"
type = "Common Skill"

[[skills]]
name = "Reading Comprehension"
type = "Common Skill"

[[skills]]
name = "Deductive Reasoning"
type = "Common Skill"

[[skills]]
name = "Critical Thinking"
type = "Common Skill"

[[skills]]
name = "Complex Problem Solving"
type = "Common Skill"

[[skills]]
name = "Writing"
type = "Common Skill"

[[skills]]
name = "Speech Recognition"
type = "Specialized Skill"

[[skills]]
name = "Social Perceptiveness"
type = "Common Skill"

[[skills]]
name = "Microsoft Word"
type = "Common Skill"

[[skills]]
name = "Microsoft Excel"
type = "Common Skill"

[[skills]]
name = "Information Ordering"
type = "Specialized Skill"

[[skills]]
name = "Active Learning"
type = "Common Skill"

[[skills]]
name = "Psychology"
type = "Specialized Skill"

[[skills]]
name = "Time Management"
type = "Common Skill"

[[skills]]
name = "Microsoft Windows"
type = "Common Skill"

[[skills]]
name = "Microsoft PowerPoint"
type = "Common Skill"

[[skills]]
name = "Microsoft Outlook"
type = "Common Skill"

[[skills]]
name = "Microsoft Access"
type = "Specialized Skill"

[[skills]]
name = "Facebook"
type = "Specialized Skill"

[[skills]]
name = "Systems Analysis"
type = "Specialized Skill"

[[skills]]
name = "Negotiation"
type = "Common Skill"

[[skills]]
name = "Learning Strategies"
type = "Specialized Skill"

[[skills]]
name = "Telecommunications"
type = "Specialized Skill"

[[skills]]
name = "Mathematics"
type = "Common Skill"

[[skills]]
name = "Visualization"
type = "Specialized Skill"

[[skills]]
name = "Instructing"
type = "Specialized Skill"

[[skills]]
name = "Finger Dexterity"
type = "Common Skill"

[[skills]]
name = "Depth Perception"
type = "Common Skill"

[[skills]]
name = "Geography"
type = "Specialized Skill"

[[skills]]
name = "LexisNexis"
type = "Specialized Skill"

[[skills]]
name = "Email Software"
type = "Specialized Skill"

[[skills]]
name = "Foreign Language"
type = "Common Skill"

[[skills]]
name = "Chemistry"
type = "Specialized Skill"

[[skills]]
name = "Biology"
type = "Specialized Skill"

[[skills]]
name = "Equipment Selection"
type = "Specialized Skill"

[[skills]]
name = "Physics"
type = "Specialized Skill"

[[skills]]
name = "Presentation Software"
type = "Specialized Skill"

[[skills]]
name = "Installation"
type = "Specialized Skill"

[[tools]]
example = "Microsoft Excel"
category = "Spreadsheet software"
hot = true
inDemand = true

[[tools]]
example = "Microsoft Office software"
category = "Office suite software"
hot = true
inDemand = true

[[tools]]
example = "Microsoft Word"
category = "Word processing software"
hot = true
inDemand = true

[[tools]]
example = "Facebook"
category = "Web page creation and editing software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Access"
category = "Data base user interface and query software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Outlook"
category = "Electronic mail software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft PowerPoint"
category = "Presentation software"
hot = true
inDemand = false

[[tools]]
example = "Microsoft Windows"
category = "Operating system software"
hot = true
inDemand = false

[[tools]]
example = "Computer imaging software"
category = "Graphics or photo imaging software"
hot = false
inDemand = false

[[tools]]
example = "Email software"
category = "Electronic mail software"
hot = false
inDemand = false

[[tools]]
example = "LexisNexis"
category = "Information retrieval or search software"
hot = false
inDemand = false

[[tools]]
example = "Web browser software"
category = "Internet browser software"
hot = false
inDemand = false

[[workContext]]
name = "Telephone Conversations"
value = 4.93

[[workContext]]
name = "E-Mail"
value = 4.8

[[workContext]]
name = "Importance of Being Exact or Accurate"
value = 4.74

[[workContext]]
name = "Freedom to Make Decisions"
value = 4.61

[[workContext]]
name = "Determine Tasks, Priorities and Goals"
value = 4.39

[[workContext]]
name = "Contact With Others"
value = 4.33

[[workContext]]
name = "Time Pressure"
value = 4.32

[[workContext]]
name = "Spend Time Sitting"
value = 4.2

[[workContext]]
name = "Deal With External Customers or the Public in General"
value = 4.19

[[workContext]]
name = "Face-to-Face Discussions with Individuals and Within Teams"
value = 4.16

[[workContext]]
name = "Impact of Decisions on Co-workers or Company Results"
value = 4.13

[[workContext]]
name = "Frequency of Decision Making"
value = 3.98

[[workContext]]
name = "Written Letters and Memos"
value = 3.9

[[workContext]]
name = "Indoors, Environmentally Controlled"
value = 3.87

[[workContext]]
name = "Importance of Repeating Same Tasks"
value = 3.43

[[workContext]]
name = "Work With or Contribute to a Work Group or Team"
value = 3.31

[[workContext]]
name = "In an Enclosed Vehicle or Operate Enclosed Equipment"
value = 3.25

[[workContext]]
name = "Work Outcomes and Results of Other Workers"
value = 3.18

[[workContext]]
name = "Coordinate or Lead Others in Accomplishing Work Activities"
value = 3.09

[[workContext]]
name = "Physical Proximity"
value = 3.05

[[workContext]]
name = "Dealing With Unpleasant, Angry, or Discourteous People"
value = 3.02

[[workContext]]
name = "Level of Competition"
value = 2.88

[[workContext]]
name = "Consequence of Error"
value = 2.83

[[workContext]]
name = "Conflict Situations"
value = 2.82

[[workContext]]
name = "Spend Time Making Repetitive Motions"
value = 2.74

[[workContext]]
name = "Outdoors, Exposed to All Weather Conditions"
value = 2.72

[[workContext]]
name = "Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls"
value = 2.66

[[workContext]]
name = "Health and Safety of Other Workers"
value = 2.3

[[workContext]]
name = "Indoors, Not Environmentally Controlled"
value = 2.23

[[workContext]]
name = "Exposed to Very Hot or Cold Temperatures"
value = 2.23

[[workContext]]
name = "Degree of Automation"
value = 2.01

[[workContext]]
name = "Public Speaking"
value = 2

[[workContext]]
name = "Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable"
value = 2

[[workContext]]
name = "Outdoors, Under Cover"
value = 1.94

[[workContext]]
name = "Exposed to Extremely Bright or Inadequate Lighting Conditions"
value = 1.9

[[workContext]]
name = "Spend Time Standing"
value = 1.9

[[workContext]]
name = "Spend Time Walking or Running"
value = 1.83

[[workContext]]
name = "Spend Time Bending or Twisting Your Body"
value = 1.76

[[workContext]]
name = "Dealing with Violent or Physically Aggressive People"
value = 1.69

[[workContext]]
name = "Exposed to Cramped Work Space, Awkward Positions"
value = 1.63

[[personFit]]
name = "Dependability"
family = "work_style"
value = 7

[[personFit]]
name = "Attention to Detail"
family = "work_style"
value = 6

[[personFit]]
name = "Conventional"
family = "career_interest_type"
value = 5.45

[[personFit]]
name = "Protective Service"
family = "specific_interest_area"
value = 5.24

[[personFit]]
name = "Integrity"
family = "work_style"
value = 5

[[personFit]]
name = "Enterprising"
family = "career_interest_type"
value = 4.07

[[personFit]]
name = "Law"
family = "specific_interest_area"
value = 4.05

[[personFit]]
name = "Achievement Orientation"
family = "work_style"
value = 4

[[personFit]]
name = "Investigative"
family = "career_interest_type"
value = 3.9

[[personFit]]
name = "Office Work"
family = "specific_interest_area"
value = 3.03

[[personFit]]
name = "Self-Control"
family = "work_style"
value = 3

[[personFit]]
name = "Social"
family = "career_interest_type"
value = 2.87

[[personFit]]
name = "Social Science"
family = "specific_interest_area"
value = 2.8

[[personFit]]
name = "Management/Administration"
family = "specific_interest_area"
value = 2.76

[[personFit]]
name = "Realistic"
family = "career_interest_type"
value = 2.39

[[personFit]]
name = "Public Speaking"
family = "specific_interest_area"
value = 2.35

[[relatedRoles]]
socCode = "33-3021.00"
slug = "role-33-3021-00"
title = "Detectives and Criminal Investigators"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "13-2099.04"
slug = "role-13-2099-04"
title = "Fraud Examiners, Investigators and Analysts"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "33-3021.06"
slug = "role-33-3021-06"
title = "Intelligence Analysts"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "33-3021.02"
slug = "role-33-3021-02"
title = "Police Identification and Records Officers"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "33-9099.02"
slug = "role-33-9099-02"
title = "Retail Loss Prevention Specialists"
tier = "Primary-Short"

[[relatedRoles]]
socCode = "33-3051.00"
slug = "role-33-3051-00"
title = "Police and Sheriff's Patrol Officers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "13-1041.00"
slug = "role-13-1041-00"
title = "Compliance Officers"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "13-1041.04"
slug = "role-13-1041-04"
title = "Government Property Inspectors and Investigators"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "33-1012.00"
slug = "role-33-1012-00"
title = "First-Line Supervisors of Police and Detectives"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "19-4092.00"
slug = "role-19-4092-00"
title = "Forensic Science Technicians"
tier = "Primary-Long"

[[relatedRoles]]
socCode = "23-2011.00"
slug = "role-23-2011-00"
title = "Paralegals and Legal Assistants"
tier = "Supplemental"

[[relatedRoles]]
socCode = "23-1011.00"
slug = "role-23-1011-00"
title = "Lawyers"
tier = "Supplemental"

[[careerClusters]]
cluster = "Public Service & Safety"
slug = "public-service-safety"

[[studyPrograms]]
title = "Homeland Security, Law Enforcement, Firefighting and Related Protective Services"
slug = "homeland-security-law-enforcement-firefighting-and-related-protective-services"

[[aiSignals]]
source = "frey_osborne"
label = "Computerization probability"
score = 0.31
scale = "0-1 probability"
release = "2013-baseline-2016-employment-snapshot"

[[aiSignals]]
source = "felten_aioe"
label = "AI occupational exposure"
score = 0.7483108
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_image_generation_aioe"
label = "Image generation occupational exposure"
score = 0.9329001
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"

[[aiSignals]]
source = "felten_language_modeling_aioe"
label = "Language modeling occupational exposure"
score = 0.6147625
scale = "relative exposure score"
release = "2021-plus-generative-ai-workbooks"
