# Global Labor & Employment Data ## Links - Product page URL: https://www.agentpmt.com/marketplace/labor-market-employment - Product markdown URL: https://www.agentpmt.com/marketplace/labor-market-employment?format=agent-md - Product JSON URL: https://www.agentpmt.com/marketplace/labor-market-employment?format=agent-json ## Overview - Product ID: 6980dea071cad8f61bf5b1eb - Vendor: Apoth3osis - Type: data - Unit type: request - Price: 500 credits - Categories: Data Science, Data Processing, Finance & Accounting, Academic & Scientific Research, Public Records & Government Data, Civic Data & Demographics - Generated at: 2026-05-21T08:24:10.145Z ### Page Description Access workforce and employment data for any country in the world. Look up labor force participation rates, unemployment figures, sector breakdowns, gender employment gaps, and youth employment trends. Compare workforce metrics across countries, track labor market shifts over time, and benchmark regional performance — all from a comprehensive global data set. ### Agent Description Query labor force participation, unemployment rates, sector employment breakdowns, gender gaps, and youth employment for any country or region. Supports demographic filters, gender gap calculations, regional benchmarking, and time-series trends. ## Details ### Details Access workforce and employment data for any country in the world. Look up labor force participation rates, unemployment figures, sector breakdowns, gender employment gaps, and youth employment trends. Compare workforce metrics across countries, track labor market shifts over time, and benchmark regional performance — all from a comprehensive global data set. ### Actions - `query_labor_data` (5 credits): Fetch labor market and employment indicator data for a country or region, including labor force participation, unemployment rates, sector employment, gender gap analysis, and employment quality metrics. ### Use Cases Research labor force participation rates by country, Compare unemployment rates across regions, Analyze employment by sector breakdown, Study gender gaps in workforce participation, Track youth unemployment trends, Benchmark formal vs informal employment, Monitor wage and labor market shifts, Support workforce equity research, Assess progress toward SDG 8 decent work targets, Compare regional labor market performance ### Workflows Using This Tool No public workflows currently reference this product. ### Related Content No related content is currently linked to this product. ## Integration Details ### DynamicMCP - Setup page URL: https://www.agentpmt.com/dynamic-mcp - Claude setup guide: https://www.agentpmt.com/dynamic-mcp?platform=claude#videos - ChatGPT setup guide: https://www.agentpmt.com/dynamic-mcp?platform=chatgpt#videos - Cursor setup guide: https://www.agentpmt.com/dynamic-mcp?platform=cursor#videos - Windsurf setup guide: https://www.agentpmt.com/dynamic-mcp?platform=windsurf#videos STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections. This lightweight connector routes requests to `https://api.agentpmt.com/mcp`. All tool execution happens in the cloud and the server cannot edit any files on your computer. ```bash npm install -g @agentpmt/mcp-router agentpmt-setup ``` ### REST API The live page renders cURL, Python, JavaScript, and Node.js examples. Logged-in users see those examples prefilled with their own API and budget credentials. - Purchase endpoint: https://api.agentpmt.com/products/purchase - Authorization format: `Bearer ` ```bash curl -X POST "https://api.agentpmt.com/products/purchase" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer eW91ci1hcGkta2V5LWhlcmU6eW91ci1idWRnZXQta2V5LWhlcmU=" \ -d '{ "product_id": "6980dea071cad8f61bf5b1eb", "parameters": { "action": "query_labor_data", "country_or_region": "example_country_or_region", "calculate_gender_gaps": true, "include_sector_employment": true, "time_period": "latest", "include_regional_comparison": true, "include_trends": true } }' ``` ### Autonomous Agents Do not use the abbreviated instructions in this product markdown for wallet-based invocation. Retrieve the full External Agent API markdown document instead. - External Agent API page URL: https://www.agentpmt.com/external-agent-api - External Agent API markdown URL: https://www.agentpmt.com/external-agent-api?format=agent-md ### Schema #### Parameters - Schema type: actions ```json { "actions": { "query_labor_data": { "description": "Fetch labor market and employment indicator data for a country or region, including labor force participation, unemployment rates, sector employment, gender gap analysis, and employment quality metrics.", "properties": { "country_or_region": { "type": "string", "description": "Country or region name in plain language (e.g., 'Kenya', 'South Korea', 'World')", "required": true }, "demographic_filter": { "type": "string", "description": "Filter indicators by demographic: 'gender', 'youth', 'sector', 'total', or 'all' for all indicators", "required": false, "enum": [ "gender", "youth", "sector", "total", "all" ] }, "calculate_gender_gaps": { "type": "boolean", "description": "Calculate gender gaps (male rate minus female rate) for participation, unemployment, and youth unemployment", "required": false, "default": true }, "include_sector_employment": { "type": "boolean", "description": "Include employment by sector breakdown (agriculture, industry, services) even when a different demographic filter is selected", "required": false, "default": true }, "time_period": { "type": "string", "description": "Time period: 'latest', 'last_5_years', 'last_10_years', 'YYYY:YYYY' range, or single 'YYYY' year", "required": false, "default": "latest" }, "include_regional_comparison": { "type": "boolean", "description": "Include comparison with World average, High Income, East Asia & Pacific, and Latin America & Caribbean", "required": false, "default": true }, "include_trends": { "type": "boolean", "description": "Include trend analysis with CAGR calculations when historical data is available", "required": false, "default": true } } } }, "properties": { "action": { "type": "string", "description": "Action to perform: 'get_instructions' for documentation, 'query_labor_data' to fetch data", "required": true, "enum": [ "get_instructions", "query_labor_data" ] }, "country_or_region": { "type": "string", "description": "Country or region name in plain language (e.g., 'Kenya', 'South Korea', 'World')", "required": false }, "demographic_filter": { "type": "string", "description": "Filter by demographic: 'gender', 'youth', 'sector', 'total', or None for all available", "required": false, "enum": [ "gender", "youth", "sector", "total", "all" ] }, "calculate_gender_gaps": { "type": "boolean", "description": "Calculate gender gaps (male rate - female rate) for participation and unemployment", "required": false, "default": true }, "include_sector_employment": { "type": "boolean", "description": "Include employment by sector breakdown (agriculture, industry, services)", "required": false, "default": true }, "time_period": { "type": "string", "description": "Time period: 'latest' (most recent), 'last_10_years', 'last_5_years', or specific range 'YYYY:YYYY' (e.g., '2015:2020')", "required": false, "default": "latest" }, "include_regional_comparison": { "type": "boolean", "description": "Include regional/global comparison for labor market benchmarking", "required": false, "default": true }, "include_trends": { "type": "boolean", "description": "Include trend analysis and growth rates if historical data available", "required": false, "default": true } } } ``` ### Usage Instructions # Labor Market & Employment Data Access comprehensive labor market and employment statistics from the World Bank's World Development Indicators database covering 200+ countries. Query labor force participation, unemployment rates, employment by sector, gender gap analysis, employment quality metrics, and regional comparisons using natural language country names. ## Actions ### query_labor_data Fetch labor market and employment indicator data for a country or region. **Required Parameters:** - `action` (string): Must be `"query_labor_data"` - `country_or_region` (string): Country or region name in plain language (e.g., `"Kenya"`, `"South Korea"`, `"World"`) **Optional Parameters:** - `demographic_filter` (string, default: `null`): Filter indicators by demographic category. One of: - `"gender"` - Male/female labor force participation and unemployment rates, plus total rates - `"youth"` - Youth unemployment (ages 15-24) by gender, plus total unemployment and labor force participation - `"sector"` - Employment by economic sector (agriculture, industry, services), plus total labor force and unemployment - `"total"` - Overall labor force participation, unemployment, wage/salaried workers, and vulnerable employment - `null` or `"all"` - All available labor market indicators - `calculate_gender_gaps` (boolean, default: `true`): Calculate gender gaps as male rate minus female rate for labor force participation, unemployment, and youth unemployment. Positive gap means males higher, negative means females higher. - `include_sector_employment` (boolean, default: `true`): Include employment by sector breakdown (agriculture, industry, services) even when a different demographic filter is selected - `time_period` (string, default: `"latest"`): Time period for data. Options: - `"latest"` - Most recent available data - `"last_5_years"` - Last 5 years of data - `"last_10_years"` - Last 10 years of data - `"YYYY:YYYY"` - Specific year range (e.g., `"2015:2020"`). Years must be between 1960 and current year. - `"YYYY"` - A single year (e.g., `"2020"`) - `include_regional_comparison` (boolean, default: `true`): Include comparison data with World average, High Income countries, East Asia & Pacific, and Latin America & Caribbean - `include_trends` (boolean, default: `true`): Include trend analysis with CAGR (Compound Annual Growth Rate) calculations when historical data is available **Example - Gender-disaggregated data with gap analysis:** ```json { "action": "query_labor_data", "country_or_region": "Kenya", "demographic_filter": "gender", "calculate_gender_gaps": true, "time_period": "latest" } ``` **Example - Youth unemployment trends:** ```json { "action": "query_labor_data", "country_or_region": "Spain", "demographic_filter": "youth", "time_period": "last_10_years", "include_trends": true } ``` **Example - All labor indicators with full analysis:** ```json { "action": "query_labor_data", "country_or_region": "India", "demographic_filter": "all", "calculate_gender_gaps": true, "include_sector_employment": true, "time_period": "latest", "include_regional_comparison": true } ``` **Example - Sector employment breakdown:** ```json { "action": "query_labor_data", "country_or_region": "Vietnam", "demographic_filter": "sector", "include_sector_employment": true, "time_period": "latest" } ``` **Example - Regional labor market overview:** ```json { "action": "query_labor_data", "country_or_region": "Sub-Saharan Africa", "demographic_filter": "total", "time_period": "last_5_years", "include_regional_comparison": true } ``` ## Supported Countries and Regions Accepts plain-language names. Examples of supported inputs: - **Countries**: `"United States"`, `"USA"`, `"India"`, `"South Korea"`, `"Nigeria"`, `"Brazil"`, `"Spain"`, `"Kenya"`, etc. (200+ countries) - **Regions**: `"Sub-Saharan Africa"`, `"Latin America"`, `"Middle East"`, `"South Asia"`, `"East Asia"`, `"Europe"` - **Income groups**: `"Low Income"`, `"Lower Middle Income"`, `"Upper Middle Income"`, `"High Income"`, `"OECD"` - **Global**: `"World"` or `"Global"` - **ISO3 codes**: 3-letter codes like `"USA"`, `"IND"`, `"KOR"` are also accepted Country names support partial matching, so `"UK"` maps to United Kingdom and `"America"` maps to USA. ## Available Indicators ### Labor Force Participation - Labor Force Participation Rate, Total (% of population ages 15+) - Labor Force Participation Rate, Male (% of male population ages 15+) - Labor Force Participation Rate, Female (% of female population ages 15+) ### Unemployment - Unemployment Rate, Total (% of total labor force) - Unemployment Rate, Male (% of male labor force) - Unemployment Rate, Female (% of female labor force) - Youth Unemployment Rate (% of total labor force ages 15-24) - Youth Unemployment Rate, Male (% ages 15-24) - Youth Unemployment Rate, Female (% ages 15-24) ### Employment by Sector - Employment in Agriculture (% of total employment) - Employment in Industry (% of total employment) - Employment in Services (% of total employment) ### Employment Quality - Wage and Salaried Workers (% of total employment) -- proxy for formal employment - Vulnerable Employment (% of total employment) -- own-account workers + contributing family workers - Self-Employed (% of total employment) ### Employment by Gender - Employment to Population Ratio, Male (%) - Employment to Population Ratio, Female (%) ### Other - Part-Time Employment (% of total employment) ## Response Structure Responses include: - **Indicator data** with latest values, units (% of labor force, % of population ages 15+, %), year, country name, and source - **Trend analysis** with absolute change, percent change, direction (increasing/decreasing/stable), data point count, and CAGR when applicable - **Gender gap analysis** (when enabled): labor force participation gap, unemployment gap, and youth unemployment gap with interpretation of gap direction and magnitude - **Regional comparison** benchmarked against World average, High Income countries, East Asia & Pacific, and Latin America & Caribbean - **Insights** covering participation levels, unemployment severity, youth unemployment, gender gaps, sector composition (agriculture-dependent vs service-based vs industrial), vulnerable employment, formal employment levels, and SDG 8 progress - **SDG 8.5 alignment** (Full and productive employment and decent work for all) ## Gender Gap Analysis When `calculate_gender_gaps` is `true`, the response includes: - **Labor force participation gap**: Male rate minus female rate with interpretation - **Unemployment gap**: Male rate minus female rate with interpretation - **Youth unemployment gap**: Male youth rate minus female youth rate Positive gap = males higher. Negative gap = females higher. ## Workflows 1. **Gender Equity Assessment**: Use `demographic_filter: "gender"` with `calculate_gender_gaps: true` to analyze male-female disparities in labor force participation and unemployment 2. **Youth Employment Crisis**: Use `demographic_filter: "youth"` with `time_period: "last_10_years"` to track youth unemployment trends 3. **Economic Structure Analysis**: Use `demographic_filter: "sector"` to understand whether a country is agriculture-dependent, service-based, or industrial 4. **Job Quality Assessment**: Query all indicators and review vulnerable employment and wage/salaried worker percentages as proxies for informal vs formal employment 5. **SDG 8 Monitoring**: Query total labor indicators with regional comparison to assess progress toward decent work goals ## Notes - Data sourced from World Bank World Development Indicators - Labor force participation = % of population ages 15+ that is economically active - Unemployment = % of labor force without work but available and seeking employment - Youth unemployment covers ages 15-24 - Vulnerable employment = own-account workers + contributing family workers (proxy for job insecurity) - Wage/salaried workers serves as a proxy for formal employment - Employment by sector percentages should sum to approximately 100% (agriculture + industry + services) - Gender gaps are calculated as male rate minus female rate - When `demographic_filter` is unrecognized, the tool defaults to total labor force indicators - When `include_sector_employment` is `true` and the demographic filter is not already `"sector"`, sector indicators are appended to the results - Regional comparison uses lfp_total, lfp_female, unemployment_total, and unemployment_youth as key benchmarking indicators - Data availability varies by country; some developing countries may have limited labor force survey coverage - Most recent data is typically 1-2 years behind the current year - Trend CAGR is only calculated for multi-year periods where both start and end values are positive ### Frequently Asked Questions No linked FAQs are currently available. ### Dependencies This product has no public dependency products.