| # 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. | |
| - **Source**: Anthropic/EconomicIndex dataset on Hugging Face | |
| - **URL**: https://huggingface.co/datasets/Anthropic/EconomicIndex/tree/main/release_2025_03_27 | |
| - **License**: Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) | |
| - **Files**: | |
| - `automation_vs_augmentation_v1.csv` | |
| - `automation_vs_augmentation_v2.csv` | |
| - `task_pct_v1.csv` | |
| - `task_pct_v2.csv` | |
| ## 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. | |
| - **Series**: SC-EST2024-AGESEX-CIV | |
| - **Source**: U.S. Census Bureau, Population Division | |
| - **URL**: https://www2.census.gov/programs-surveys/popest/datasets/2020-2024/state/asrh/sc-est2024-agesex-civ.csv | |
| - **License**: Public Domain (U.S. Government Work) | |
| - **Download date**: September 2, 2025 | |
| - **Output files**: | |
| - `sc-est2024-agesex-civ.csv` (raw Census data in data/input/) | |
| - `working_age_pop_2024_us_state.csv` (processed data summed for ages 15-64 by state in data/intermediate/) | |
| - **Documentation**: https://www2.census.gov/programs-surveys/popest/technical-documentation/file-layouts/2020-2024/SC-EST2024-AGESEX-CIV.pdf | |
| ### 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. | |
| - **Series**: Population by single age (Medium variant, Total gender) | |
| - **Source**: National Development Council, Population Projections for the R.O.C (Taiwan) | |
| - **URL**: https://pop-proj.ndc.gov.tw/main_en/Custom_Detail_Statistics_Search.aspx?n=175&_Query=258170a1-1394-49fe-8d21-dc80562b72fb&page=1&PageSize=10&ToggleType= | |
| - **License**: Open Government Data License (Taiwan) (https://data.gov.tw/en/license) | |
| - **Update date**: 2025.06.17 | |
| - **Download date**: September 2, 2025 | |
| - **Reference year**: 2024 | |
| - **Variable name in script**: `df_taiwan` (raw data), added to `df_working_age_pop_country` | |
| - **Output files**: | |
| - `Population by single age _20250802235608.csv` (raw data in data/input/, pre-filtered to ages 15-64) | |
| - Merged into `working_age_pop_2024_country.csv` (processed country-level data in data/intermediate/) | |
| ## 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. | |
| - **Series**: NGDPD | |
| - **Source**: International Monetary Fund (IMF), World Economic Outlook Database | |
| - **URL**: https://www.imf.org/external/datamapper/api/v1/NGDPD | |
| - **License**: IMF Data Terms and Conditions (https://www.imf.org/en/About/copyright-and-terms#data) | |
| - **Reference year**: 2024 | |
| - **Download date**: September 2, 2025 | |
| - **Output files**: | |
| - `imf_gdp_raw_2024.json` (raw API response in data/input/) | |
| - `gdp_2024_country.csv` (processed country GDP data in data/intermediate/) | |
| ### 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. | |
| - **Source**: U.S. Census Bureau | |
| - **URL**: https://www.census.gov/hfp/btos/downloads/National.xlsx | |
| - **License**: Public Domain (U.S. Government Work) | |
| - **Download date**: September 5, 2025 | |
| - **Reference periods**: Ending in September 2023 and August 2025 | |
| - **Input file**: `BTOS_National.xlsx` | |