# Global Gender Equality Data ## Links - Product page URL: https://www.agentpmt.com/marketplace/gender-equality-women-s-empowerment - Product markdown URL: https://www.agentpmt.com/marketplace/gender-equality-women-s-empowerment?format=agent-md - Product JSON URL: https://www.agentpmt.com/marketplace/gender-equality-women-s-empowerment?format=agent-json ## Overview - Product ID: 6980e11471cad8f61bf5b1ff - Vendor: Apoth3osis - Type: data - Unit type: request - Price: 10000 credits - Categories: Data Science, Data Processing, Academic & Scientific Research, Public Records & Government Data, Health & Fitness Data, Civic Data & Demographics - Generated at: 2026-05-21T08:24:09.840Z ### Page Description Dive into gender equality data for any country in the world. Explore labor force participation gaps, education parity, political representation, legal rights scores, and maternal health outcomes. Compare male and female indicators side by side, track progress over time, and see how countries measure up on gender parity — all from a comprehensive global data set. ### Agent Description Access gender equality indicators for any country or region. Query labor participation gaps, education parity indices, political representation, legal rights scores, maternal health, economic inclusion, and attitudes toward violence. Supports male/female comparisons, gap calculations, and time-series trends. ## Details ### Details Dive into gender equality data for any country in the world. Explore labor force participation gaps, education parity, political representation, legal rights scores, and maternal health outcomes. Compare male and female indicators side by side, track progress over time, and see how countries measure up on gender parity — all from a comprehensive global data set. ### Actions - `query_gender_data` (100 credits): Query World Bank gender equality and women's empowerment indicators by country/region and gender aspect. Returns data on labor force participation gaps, education parity indices, political representation, legal framework scores, maternal health, economic empowerment, and attitudes toward violence. Includes automatic gender gap calculations and SDG 5 alignment. ### Use Cases Analyze gender gaps in labor force participation, Compare education parity across countries, Research women's political representation, Track maternal health outcomes by region, Evaluate legal rights and Women Business and Law scores, Study economic inclusion and financial access by gender, Monitor progress toward SDG 5 targets, Assess attitudes toward violence against women, Compare male vs female employment rates, Research reproductive health indicators ### 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": "6980e11471cad8f61bf5b1ff", "parameters": { "action": "query_gender_data", "country_or_region": "example_country_or_region", "gender_aspect": "all", "calculate_gaps": true, "time_period": "latest" } }' ``` ### 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_gender_data": { "description": "Query World Bank gender equality and women's empowerment indicators by country/region and gender aspect. Returns data on labor force participation gaps, education parity indices, political representation, legal framework scores, maternal health, economic empowerment, and attitudes toward violence. Includes automatic gender gap calculations and SDG 5 alignment.", "properties": { "country_or_region": { "type": "string", "description": "Country or region name (e.g., 'Rwanda', 'India', 'United States', 'Africa', 'Latin America')", "required": true }, "gender_aspect": { "type": "string", "description": "Gender dimension to query: 'labor' (participation, employment), 'education' (literacy, parity indices), 'political' (parliament, ministerial), 'legal' (WBL index), 'health' (maternal mortality, reproductive), 'economic' (financial inclusion, firm ownership), 'violence' (attitudes toward IPV), 'all' (all indicators)", "required": false, "default": "all", "enum": [ "labor", "education", "political", "legal", "health", "economic", "violence", "all" ] }, "calculate_gaps": { "type": "boolean", "description": "Automatically calculate gender gaps (absolute and percentage differences between male and female indicators)", "required": false, "default": true }, "time_period": { "type": "string", "description": "Time period for data: 'latest', a year like '2020', a range like '2010:2020', or shorthand 'last5'/'last10'", "required": false, "default": "latest" } } } }, "properties": { "action": { "type": "string", "description": "Action to perform: 'get_instructions' (returns documentation) or 'query_gender_data' (query gender equality indicators)", "required": true, "enum": [ "get_instructions", "query_gender_data" ] }, "country_or_region": { "type": "string", "description": "Country or region name (e.g., 'Rwanda', 'India', 'Latin America', 'Africa'). Required for query_gender_data action.", "required": false }, "gender_aspect": { "type": "string", "description": "Gender aspect to query: 'labor' (labor force participation, employment), 'education' (literacy, gender parity indices), 'political' (parliamentary seats, ministerial positions), 'legal' (Women Business and Law index), 'health' (maternal mortality, reproductive health), 'economic' (financial inclusion, firm ownership), 'violence' (attitudes toward violence against women), 'all' (complete gender equality profile). Optional, defaults to 'all'.", "required": false, "enum": [ "labor", "education", "political", "legal", "health", "economic", "violence", "all" ] }, "calculate_gaps": { "type": "boolean", "description": "Automatically calculate gender gaps (absolute and percentage differences between male and female indicators). Optional, defaults to true.", "required": false }, "time_period": { "type": "string", "description": "Time period for data: 'latest' (most recent), 'YYYY' (specific year like '2020'), or 'YYYY:YYYY' (year range like '2010:2020'). Optional, defaults to 'latest'.", "required": false } } } ``` ### Usage Instructions # Gender Equality Data ## Overview Query World Bank gender equality and women's empowerment indicators for any country or region. Access data on labor force participation gaps, education parity indices, political representation, legal framework scores, maternal health, economic empowerment, and attitudes toward violence against women. All indicators are aligned with SDG 5 (Achieve gender equality and empower all women and girls). Data sourced from the World Bank Data360 API and Women, Business and the Law Database. ## Actions ### query_gender_data Query gender equality indicators by country/region and gender aspect. **Required Parameters:** | Parameter | Type | Description | |-----------|------|-------------| | `action` | string | Must be `"query_gender_data"` | | `country_or_region` | string | Country name or region. Examples: `"Rwanda"`, `"India"`, `"United States"`, `"Africa"`, `"Latin America"` | **Optional Parameters:** | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `gender_aspect` | string | `"all"` | Specific gender dimension to query. One of: `"labor"`, `"education"`, `"political"`, `"legal"`, `"health"`, `"economic"`, `"violence"`, `"all"` | | `calculate_gaps` | boolean | `true` | Automatically calculate gender gaps (male minus female) where male/female pairs exist | | `time_period` | string | `"latest"` | Time period for data. Accepts: `"latest"`, a single year like `"2020"`, a range like `"2010:2020"`, or shorthand `"last5"` / `"last10"` | **Gender Aspects:** - **`labor`** -- Female and male labor force participation rates, female-to-male ratio, employment rates by gender - **`education`** -- Female and male adult literacy rates, Gender Parity Index (GPI) for primary, secondary, and tertiary education enrollment - **`political`** -- Proportion of parliamentary seats held by women (%), proportion of women in ministerial positions (%) - **`legal`** -- Women, Business and the Law Index (0-100 scale measuring legal protections and economic opportunities) - **`health`** -- Maternal mortality ratio (per 100,000 live births), adolescent fertility rate, contraceptive prevalence, antenatal care coverage, skilled birth attendance - **`economic`** -- Financial account ownership by gender (%), female firm ownership (%) - **`violence`** -- Attitudes toward intimate partner violence (% of women who believe husband is justified in beating wife) - **`all`** -- All available indicators combined #### Example: Political representation in Rwanda ```json { "action": "query_gender_data", "country_or_region": "Rwanda", "gender_aspect": "political", "time_period": "latest" } ``` #### Example: Labor force gender gaps in India ```json { "action": "query_gender_data", "country_or_region": "India", "gender_aspect": "labor", "calculate_gaps": true, "time_period": "latest" } ``` #### Example: Education parity trends in Sweden ```json { "action": "query_gender_data", "country_or_region": "Sweden", "gender_aspect": "education", "time_period": "2010:2023" } ``` #### Example: Full gender equality profile for Africa ```json { "action": "query_gender_data", "country_or_region": "Africa", "gender_aspect": "all", "time_period": "latest" } ``` #### Example: Maternal health in the United States ```json { "action": "query_gender_data", "country_or_region": "United States", "gender_aspect": "health", "time_period": "latest" } ``` #### Example: Legal framework without gap calculations ```json { "action": "query_gender_data", "country_or_region": "Saudi Arabia", "gender_aspect": "legal", "calculate_gaps": false } ``` #### Example: Economic empowerment for a specific year ```json { "action": "query_gender_data", "country_or_region": "Kenya", "gender_aspect": "economic", "time_period": "2021" } ``` ## Workflows ### Comprehensive Gender Equality Report 1. Call `query_gender_data` with `gender_aspect: "all"` and `calculate_gaps: true` for a full country profile. 2. The response includes indicators across all dimensions, gender gap calculations, contextual interpretations, and SDG 5 alignment summary. ### Cross-Country Comparison 1. Call `query_gender_data` for each country with the same `gender_aspect` and `time_period`. 2. Compare gender gaps, interpretation levels (e.g., parliamentary representation thresholds), and indicator values side by side. ### Gender Gap Trend Analysis 1. Call `query_gender_data` with a `time_period` range (e.g., `"2005:2023"`) and `calculate_gaps: true`. 2. For time-series requests, the response includes year-by-year data points for tracking gap evolution. ### SDG 5 Progress Assessment 1. Call `query_gender_data` with `gender_aspect: "all"` to get all SDG 5-aligned indicators. 2. Review the interpretations against SDG targets (e.g., maternal mortality below 70 per 100,000, parliamentary parity). ### Regional Gender Landscape 1. Call `query_gender_data` with a region name (e.g., `"Africa"`, `"Latin America"`, `"Middle East"`) and `gender_aspect: "all"`. 2. The response provides regional aggregate indicators weighted by population. ## Notes - **Gender gap calculation**: When `calculate_gaps` is true, the tool calculates absolute gap (male - female), percentage gap ((gap / male) * 100), and interpretation: "Near parity" (gap < 1 point), "Male advantage" (male > female), or "Female advantage" (female > male). Gaps are calculated for labor force participation, adult literacy, and financial inclusion. - **Gender Parity Index (GPI)**: For education indicators, GPI values of 0.97-1.03 are interpreted as "Gender parity achieved". Values below 0.97 indicate female disadvantage; above 1.03 indicate female advantage. GPI is reported for primary, secondary, and tertiary enrollment. - **Parliamentary representation thresholds**: Interpreted as "Gender parity achieved" (>= 50%), "Strong representation" (40-50%), "Approaching critical mass" (30-40%), "Moderate representation" (20-30%), "Low representation" (10-20%), or "Very low representation" (< 10%). - **Women, Business and the Law Index**: Scored 0-100 (higher is better). Interpreted as "Excellent legal framework" (90-100), "Strong legal protections" (80-90), "Good protections" (70-80), "Moderate protections" (60-70), "Weak protections" (50-60), "Very weak legal framework" (< 50). - **Maternal mortality interpretation**: "SDG target achieved" (< 70 per 100,000), "Above target but relatively low" (70-140), "Moderate" (140-300), "High" (300-500), "Very high" (> 500). SDG 3.1 target is below 70 per 100,000 live births. - **Country input**: Accepts common country names (e.g., `"United States"`, `"South Korea"`), and supports partial matching. Unrecognized countries return a descriptive error. - **Supported regions**: `"World"`, `"Africa"`, `"Asia"`, `"Europe"`, `"Latin America"`, `"Middle East"`, `"North America"`. - **Supported countries**: 190+ World Bank member countries including all major economies, African nations, Asian countries, European countries, Latin American countries, and Middle Eastern countries. - **SDG 5 alignment**: Every response includes an `sdg_alignment` section referencing SDG 5 and its targets (5.1 through 5.c) on gender equality, violence elimination, and women's empowerment. - **time_period validation**: Accepts `"latest"`, `"last5"`, `"last10"`, a 4-digit year, or a `YYYY:YYYY` range. Invalid formats return a validation error. - **Concurrency**: Indicator fetches are batched concurrently (up to 10 simultaneous API calls) for performance. - **Data availability**: World Bank data may lag 1-3 years behind the current year. Some indicators are not collected in all countries. Regional aggregates are weighted by population. - **Values are rounded** to 2 decimal places where applicable. - **Data source**: World Bank Data360 (World Development Indicators) and Women, Business and the Law Database, updated regularly. ### Frequently Asked Questions No linked FAQs are currently available. ### Dependencies This product has no public dependency products.