

Global Gender Equality Data
Data
Premium Product
Available ActionsEach successful request consumes credits as outlined below.
query_gender_data100cr
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.
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
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npm install -g @agentpmt/mcp-routeragentpmt-setupActions(1)
query_gender_data100cr4 params(1 required)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.
query_gender_data100cr4 params(1 required)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.
country_or_regionrequiredstringCountry or region name (e.g., 'Rwanda', 'India', 'United States', 'Africa', 'Latin America')
gender_aspectstringGender 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)
Values:
laboreducationpoliticallegalhealtheconomicviolenceall
Default:
allcalculate_gapsbooleanAutomatically calculate gender gaps (absolute and percentage differences between male and female indicators)
Default:
truetime_periodstringTime period for data: 'latest', a year like '2020', a range like '2010:2020', or shorthand 'last5'/'last10'
Default:
latestcurl -X POST "https://api.agentpmt.com/products/purchase" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ********" \
-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"
}
}'import requests
import json
url = "https://api.agentpmt.com/products/purchase"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer ********"
}
data = {
"product_id": "6980e11471cad8f61bf5b1ff",
"parameters": {
"action": "query_gender_data",
"country_or_region": "example_country_or_region",
"gender_aspect": "all",
"calculate_gaps": true,
"time_period": "latest"
}
}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)
print(response.json())const url = "https://api.agentpmt.com/products/purchase";
const headers = {
"Content-Type": "application/json",
"Authorization": "Bearer ********"
};
const data = {
product_id: "6980e11471cad8f61bf5b1ff",
parameters: {
"action": "query_gender_data",
"country_or_region": "example_country_or_region",
"gender_aspect": "all",
"calculate_gaps": true,
"time_period": "latest"
}
};
fetch(url, {
method: "POST",
headers,
body: JSON.stringify(data)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error("Error:", error));const axios = require('axios');
const url = "https://api.agentpmt.com/products/purchase";
const headers = {
"Content-Type": "application/json",
"Authorization": "Bearer ********"
};
const data = {
product_id: "6980e11471cad8f61bf5b1ff",
parameters: {
"action": "query_gender_data",
"country_or_region": "example_country_or_region",
"gender_aspect": "all",
"calculate_gaps": true,
"time_period": "latest"
}
};
axios.post(url, data, { headers })
.then(response => {
console.log(response.status);
console.log(response.data);
})
.catch(error => {
console.error("Error:", error.message);
});Login to view your API and budget keys. The example above uses placeholder values. Sign in to see personalized code with your bearer token.
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Purchase credits via x402 payment (500 credit minimum, 100 credits = $1).
# Request payment requirements (returns 402 + PAYMENT-REQUIRED header)
curl -i -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
-H "Content-Type: application/json" \
-d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'
# Sign the EIP-3009 authorization, then retry with signature header
curl -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
-H "Content-Type: application/json" \
-H "PAYMENT-SIGNATURE: <base64-json>" \
-d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'2. Create a Session Nonce (nonce used in signed balance/invoke)
curl -s -X POST "https://www.agentpmt.com/api/external/auth/session" \
-H "Content-Type: application/json" \
-d '{ "wallet_address":"0xYOUR_WALLET" }'3. Invoke This Tool
Sign the message with your wallet (EIP-191 personal-sign), then POST to the invoke endpoint.
# Sign this message (wallet MUST be lowercased):
# agentpmt-external
# wallet:0xyourwallet...
# session:<session_nonce>
# request:<request_id>
# method:POST
# path:/external/tools/gender-equality-women-s-empowerment/actions/<actionSlug>/invoke
# payload:<sha256(canonical_json(parameters))>
curl -s -X POST "https://www.agentpmt.com/api/external/tools/gender-equality-women-s-empowerment/actions/<actionSlug>/invoke" \
-H "Content-Type: application/json" \
-d '{
"wallet_address": "0xYOUR_WALLET",
"session_nonce": "<session_nonce>",
"request_id": "invoke-uuid",
"signature": "0x<signature>",
"parameters": {
"your_param": "value"
}
}'Usage Instructions
Usage guidance provided directly by the developer for this product.
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 gendereducation-- Female and male adult literacy rates, Gender Parity Index (GPI) for primary, secondary, and tertiary education enrollmentpolitical-- 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 attendanceeconomic-- 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
{
"action": "query_gender_data",
"country_or_region": "Rwanda",
"gender_aspect": "political",
"time_period": "latest"
}
Example: Labor force gender gaps in India
{
"action": "query_gender_data",
"country_or_region": "India",
"gender_aspect": "labor",
"calculate_gaps": true,
"time_period": "latest"
}
Example: Education parity trends in Sweden
{
"action": "query_gender_data",
"country_or_region": "Sweden",
"gender_aspect": "education",
"time_period": "2010:2023"
}
Example: Full gender equality profile for Africa
{
"action": "query_gender_data",
"country_or_region": "Africa",
"gender_aspect": "all",
"time_period": "latest"
}
Example: Maternal health in the United States
{
"action": "query_gender_data",
"country_or_region": "United States",
"gender_aspect": "health",
"time_period": "latest"
}
Example: Legal framework without gap calculations
{
"action": "query_gender_data",
"country_or_region": "Saudi Arabia",
"gender_aspect": "legal",
"calculate_gaps": false
}
Example: Economic empowerment for a specific year
{
"action": "query_gender_data",
"country_or_region": "Kenya",
"gender_aspect": "economic",
"time_period": "2021"
}
Workflows
Comprehensive Gender Equality Report
- Call
query_gender_datawithgender_aspect: "all"andcalculate_gaps: truefor a full country profile. - The response includes indicators across all dimensions, gender gap calculations, contextual interpretations, and SDG 5 alignment summary.
Cross-Country Comparison
- Call
query_gender_datafor each country with the samegender_aspectandtime_period. - Compare gender gaps, interpretation levels (e.g., parliamentary representation thresholds), and indicator values side by side.
Gender Gap Trend Analysis
- Call
query_gender_datawith atime_periodrange (e.g.,"2005:2023") andcalculate_gaps: true. - For time-series requests, the response includes year-by-year data points for tracking gap evolution.
SDG 5 Progress Assessment
- Call
query_gender_datawithgender_aspect: "all"to get all SDG 5-aligned indicators. - Review the interpretations against SDG targets (e.g., maternal mortality below 70 per 100,000, parliamentary parity).
Regional Gender Landscape
- Call
query_gender_datawith a region name (e.g.,"Africa","Latin America","Middle East") andgender_aspect: "all". - The response provides regional aggregate indicators weighted by population.
Notes
- Gender gap calculation: When
calculate_gapsis 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_alignmentsection 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 aYYYY:YYYYrange. 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.





