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Data Documentation

This document describes the data sources and variables used in the third 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_2025-08-04_to_2025-08-11.csv (pre-enrichment data in data/intermediate/)
  • aei_enriched_claude_ai_2025-08-04_to_2025-08-11.csv (enriched data in data/output/)

Note on data sources: The AEI raw file contains raw counts and percentages. Derived metrics (indices, tiers, per capita calculations, automation/augmentation percentages) are calculated during the enrichment process in aei_report_v3_preprocessing_claude_ai.ipynb.

Data Schema

Each row represents one metric value for a specific geography and facet combination:

Column Type Description
geo_id string Geographic identifier (ISO-2 country code for countries, US state code, or "GLOBAL", ISO-3 country codes in enriched data)
geography string Geographic level: "country", "state_us", 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

  • country: Country-level aggregations
  • state_us: US state-level aggregations
  • onet_task: O*NET occupational tasks
  • collaboration: Human-AI collaboration patterns
  • request: Request complexity levels (0=highest granularity, 1=middle granularity, 2=lowest granularity)
  • onet_task::collaboration: Intersection of tasks and collaboration patterns
  • request::collaboration: Intersection of request categories and collaboration patterns

Core Variables

Variables follow the pattern {prefix}_{suffix} with specific meanings:

From AEI processing: *_count, *_pct From enrichment: *_per_capita, *_per_capita_index, *_pct_index, *_tier, automation_pct, augmentation_pct, soc_pct

Usage Metrics

  • usage_count: Total number of conversations/interactions in a geography
  • usage_pct: Percentage of total usage (relative to parent geography - gobal for countries, US for states)
  • usage_per_capita: Usage count divided by working age population
  • usage_per_capita_index: Concentration index showing if a geography has more/less usage than expected based on population share (1.0 = proportional, >1.0 = over-representation, <1.0 = under-representation)
  • usage_tier: Usage adoption tier (0 = no/little adoption, 1-4 = quartiles of adoption among geographies with sufficient usage)

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, US for states)
  • 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_pct_index: Specialization index comparing request usage to baseline
  • 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
  • collaboration_pct_index: Specialization index comparing pattern to baseline
  • automation_pct: Percentage of classifiable collaboration that is automation-focused (directive, feedback loop patterns)
  • augmentation_pct: Percentage of classifiable collaboration that is augmentation-focused (validation, task iteration, learning patterns)

Demographic & Economic Metrics

  • working_age_pop: Population aged 15-64 (working age definition used by World Bank)
  • gdp_per_working_age_capita: Total GDP divided by working age population (in USD)

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 US state (applied in enrichment step, not raw preprocessing)
  • Population Base: Working-age population (ages 15-64)
  • 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%
  • Percentage Index Calculations:
    • Exclude not_classified and none categories from index calculations as they are not meaningful
  • Country Codes: ISO-2 format (e.g., "US" in raw data), ISO-3 (e.g., "USA", "GBR", "FRA") for countries after enrichment
  • 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.

Source file: aei_raw_1p_api_2025-08-04_to_2025-08-11.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

  • onet_task: O*NET occupational tasks
  • collaboration: Human-AI collaboration patterns
  • request: Request categories (hierarchical levels 0-2 from bottom-up taxonomy)
  • onet_task::collaboration: Intersection of tasks and collaboration patterns
  • onet_task::prompt_tokens: Mean prompt tokens per task (normalized, average = 1.0)
  • onet_task::completion_tokens: Mean completion tokens per task (normalized, average = 1.0)
  • onet_task::cost: Mean cost per task (normalized, average = 1.0)
  • request::collaboration: Intersection of request categories and collaboration patterns

Core Variables

Usage Metrics

  • collaboration_count: Number of 1P API records with this collaboration pattern
  • collaboration_pct: Percentage of total with this pattern

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
  • onet_task_collaboration_count: Records with both this task and collaboration pattern
  • onet_task_collaboration_pct: Percentage of the task's total with this collaboration pattern

Mean Value Intersection Metrics (unique to API data):

  • prompt_tokens_index: Re-indexed mean prompt tokens (1.0 = average across all tasks)
  • prompt_tokens_count: Number of records for this metric
  • completion_tokens_index: Re-indexed mean completion tokens (1.0 = average across all tasks)
  • completion_tokens_count: Number of records for this metric
  • cost_index: Re-indexed mean cost (1.0 = average across all tasks)
  • cost_count: Number of records for this metric

Request Metrics:

  • request_count: Number of 1P API records in this request category
  • request_pct: Percentage of total in this category
  • request_collaboration_count: Records with both this request category and collaboration pattern
  • request_collaboration_pct: Percentage of the request's total with this collaboration pattern

Claude.ai Request Hierarchy

Contains the hierarchy of request clusters for Claude.ai usage with their names and descriptions.

Source file: request_hierarchy_tree_claude_ai.json (in data/output/)

1P API Request Hierarchy

Contains the hierarchy of request clusters for 1P API usage with their names and descriptions.

Source file: request_hierarchy_tree_1p_api.json (in data/output/)

Claude.ai Usage Data from Prior Anthropic Economic Index Releases

Data on task usage and automation/augmentation patterns from the first and second Anthropic Economic Index reports.

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

US State Codes

State FIPS Codes and USPS Abbreviations

Official state and territory codes including FIPS codes and two-letter USPS abbreviations for all U.S. states, territories, and the District of Columbia.

  • Series: State FIPS Codes
  • Source: U.S. Census Bureau, Geography Division
  • URL: https://www2.census.gov/geo/docs/reference/state.txt
  • License: Public Domain (U.S. Government Work)
  • Download date: September 2, 2025
  • Output files:
    • census_state_codes.txt (raw pipe-delimited text file in data/input/)
  • Usage: Maps state names to two-letter abbreviations (e.g., "California" → "CA")

Population Data

US State Population

State Characteristics Estimates - Age and Sex - Civilian Population

Annual estimates of the civilian population by single year of age, sex, race, and Hispanic origin for states and the District of Columbia.

Country Population

Population ages 15-64, total

Total population between the ages 15 to 64. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

  • Series: SP.POP.1564.TO
  • Source: World Population Prospects, United Nations (UN), publisher: UN Population Division; Staff estimates, World Bank (WB)
  • URL: https://api.worldbank.org/v2/country/all/indicator/SP.POP.1564.TO?format=json&date=2024&per_page=1000
  • License: Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/)
  • Attribution note: Data in the data/intermediate folder have been processed and modified from original source; modifications to data in data/input include changing the file format; modifications to data/intermediate include adding Taiwan population data, removing non-country aggregates, removing invalid country codes, removing excluded countries, and renaming columns; modifications to data in data/output include transforming data to long format
  • Download date: September 2, 2025
  • Output files:
    • working_age_pop_2024_country_raw.csv (raw World Bank data in data/input/)
    • working_age_pop_2024_country.csv (processed country-level data including Taiwan in data/intermediate/)

Taiwan Population

Population by single age

Population projections by single year of age for Taiwan (Republic of China). This data supplements the World Bank country data which excludes Taiwan.

GDP Data

Country GDP

Gross Domestic Product, Current Prices (Billions of U.S. Dollars)

Total gross domestic product at current market prices for all countries and territories.

US State GDP

SASUMMARY State Annual Summary Statistics: Personal Income, GDP, Consumer Spending, Price Indexes, and Employment

Gross domestic product by state in millions of current U.S. dollars.

  • Series: SASUMMARY (Gross Domestic Product by State)
  • Source: U.S. Bureau of Economic Analysis (BEA)
  • URL: https://apps.bea.gov/itable/?ReqID=70&step=1
  • License: Public Domain (U.S. Government Work)
  • Download date: September 2, 2025
  • Reference year: 2024
  • Output files:
    • bea_us_state_gdp_2024.csv (raw data in data/input/, manually downloaded from BEA)
    • gdp_2024_us_state.csv (processed state GDP data in data/intermediate/)
  • Citation: U.S. Bureau of Economic Analysis, "SASUMMARY State annual summary statistics: personal income, GDP, consumer spending, price indexes, and employment" (accessed September 2, 2025)

SOC and O*NET Data

O*NET Task Statements

O*NET Task Statements Dataset

Comprehensive database of task statements associated with occupations in the O*NET-SOC taxonomy, providing detailed work activities for each occupation.

  • Database Version: O*NET Database 20.1
  • Source: O*NET Resource Center, U.S. Department of Labor
  • URL: https://www.onetcenter.org/dl_files/database/db_20_1_excel/Task%20Statements.xlsx
  • License: Public Domain (U.S. Government Work)
  • Download date: September 2, 2025
  • Output files:
    • onet_task_statements_raw.xlsx (raw Excel file in data/input/)
    • onet_task_statements.csv (processed data with soc_major_group in data/intermediate/)
  • Key fields:
    • O*NET-SOC Code: Full occupation code (e.g., "11-1011.00")
    • Title: Occupation title
    • Task ID: Unique task identifier
    • Task: Description of work task
    • Task Type: Core or Supplemental
    • soc_major_group: First 2 digits of SOC code (e.g., "11" for Management)
  • Notes:
    • SOC major group codes extracted from O*NET-SOC codes for aggregation
    • Used to map Claude usage patterns to occupational categories

SOC Structure

Standard Occupational Classification (SOC) Structure

Hierarchical classification system for occupations, providing standardized occupation titles and codes.

  • SOC Version: 2019
  • Source: O*NET Resource Center (SOC taxonomy)
  • URL: https://www.onetcenter.org/taxonomy/2019/structure/?fmt=csv
  • License: Public Domain (U.S. Government Work)
  • Download date: September 2, 2025
  • Variable name in script: df_soc (SOC structure dataframe)
  • Output files:
    • soc_structure_raw.csv (raw data in data/input/)
    • soc_structure.csv (processed SOC structure in data/intermediate/)
  • Key fields:
    • Major Group: SOC major group code (e.g., "11-0000")
    • Minor Group: SOC minor group code
    • Broad Occupation: Broad occupation code
    • Detailed Occupation: Detailed occupation code
    • soc_major_group: 2-digit major group code (e.g., "11")
    • SOC or O*NET-SOC 2019 Title: Occupation group title
  • Notes:
    • Provides hierarchical structure for occupational classification

Business Trends and Outlook Survey

Core questions, National.