Employment & Labor Market Statistics
1970–2024
Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- Not documented — confirm reuse terms with the seller
- Source / creator
- Supplier-cited: World Bank Open Data
- Collection method
- Supplier description: Harmonized dataset covering employment and labor market indicators for 215 countries from 1970 to 2024. Sourced from the World Bank Open Data API (ILO modeled estimates and national statistics). Includes 33 columns: unemployment rates (total, male, female, youth), labor force participation rates by gender, employment by sector (agriculture, industry, services), self-employment and vulnerable employment shares, GDP per capita, GDP growth, inflation, population, and labor productivity metrics. Ideal for analyzing global labor market trends, gender gaps in employment, structural economic transitions, and the relationship between economic development and employment patterns across regions and income groups.
- Coverage / snapshot
- 1970–2024
- Data last updated
- Not documented
- Update schedule
- Not documented
Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Coverage is stated by the supplier; it has not been verified against every record in the full file.
Sample structure score: 83.5 / 100
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.
| Check | Points | Evidence |
|---|---|---|
| Populated cells | 33.5 / 50 | 221 of 330 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated. |
| Consistent value types | 30 / 30 | 221 of 221 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth. |
| Consistent record shape | 20 / 20 | 10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys. |
Field-level findings and improvements
Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.
| Field | Missing cells | Most common type | Other populated types |
|---|---|---|---|
| country_code | 0 / 10 | string | 0 / 10 |
| country_name | 0 / 10 | string | 0 / 10 |
| region | 0 / 10 | string | 0 / 10 |
| income_level | 0 / 10 | string | 0 / 10 |
| capital_city | 0 / 10 | string | 0 / 10 |
| latitude | 0 / 10 | number | 0 / 10 |
| longitude | 0 / 10 | number | 0 / 10 |
| year | 0 / 10 | number | 0 / 10 |
| unemployment_rate_pct | 4 / 10 | number | 0 / 6 |
| unemployment_rate_male_pct | 4 / 10 | number | 0 / 6 |
| unemployment_rate_female_pct | 4 / 10 | number | 0 / 6 |
| youth_unemployment_rate_pct | 4 / 10 | number | 0 / 6 |
| labor_force_participation_rate_pct | 4 / 10 | number | 0 / 6 |
| labor_force_participation_male_pct | 10 / 10 | unknown | 0 / 0 |
| labor_force_participation_female_pct | 4 / 10 | number | 0 / 6 |
| employment_agriculture_pct | 4 / 10 | number | 0 / 6 |
| employment_industry_pct | 4 / 10 | number | 0 / 6 |
| employment_services_pct | 10 / 10 | unknown | 0 / 0 |
| labor_force_total | 4 / 10 | number | 0 / 6 |
| employment_to_population_ratio_pct | 4 / 10 | number | 0 / 6 |
| gdp_per_capita_usd | 0 / 10 | number | 0 / 10 |
| population | 0 / 10 | number | 0 / 10 |
| labor_force_female_pct | 4 / 10 | number | 0 / 6 |
| vulnerable_employment_pct | 4 / 10 | number | 0 / 6 |
| long_term_unemployment_pct | 10 / 10 | unknown | 0 / 0 |
| gdp_per_person_employed_constant_usd | 4 / 10 | number | 0 / 6 |
| self_employed_pct | 4 / 10 | number | 0 / 6 |
| wage_and_salaried_workers_pct | 4 / 10 | number | 0 / 6 |
| youth_unemployment_male_pct | 4 / 10 | number | 0 / 6 |
| youth_unemployment_female_pct | 4 / 10 | number | 0 / 6 |
| children_in_employment_pct | 10 / 10 | unknown | 0 / 0 |
| gdp_growth_annual_pct | 0 / 10 | number | 0 / 10 |
| inflation_consumer_prices_pct | 1 / 10 | number | 0 / 9 |
About this data
Harmonized employment and labor market indicators sourced from World Bank Open Data (ILO modeled estimates and national statistics). Covers unemployment rates by gender and age group, labor force participation, employment by sector, self-employment, vulnerable employment shares, and labor productivity metrics across 33 columns.
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py e9a92188-1f5e-4e1f-b158-87e163b8d84f --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| country_code | string | |
| country_name | string | |
| region | string | |
| income_level | string | |
| capital_city | string | |
| latitude | string | |
| longitude | string | |
| year | string | |
| unemployment_rate_pct | string | |
| unemployment_rate_male_pct | string | |
| unemployment_rate_female_pct | string | |
| youth_unemployment_rate_pct | string | |
| labor_force_participation_rate_pct | string | |
| labor_force_participation_male_pct | string | |
| labor_force_participation_female_pct | string | |
| employment_agriculture_pct | string | |
| employment_industry_pct | string | |
| employment_services_pct | string | |
| labor_force_total | string | |
| employment_to_population_ratio_pct | string | |
| gdp_per_capita_usd | string | |
| population | string | |
| labor_force_female_pct | string | |
| vulnerable_employment_pct | string | |
| long_term_unemployment_pct | string | |
| gdp_per_person_employed_constant_usd | string | |
| self_employed_pct | string | |
| wage_and_salaried_workers_pct | string | |
| youth_unemployment_male_pct | string | |
| youth_unemployment_female_pct | string | |
| children_in_employment_pct | string | |
| gdp_growth_annual_pct | string | |
| inflation_consumer_prices_pct | string |
Sample Data
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For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Employment & Labor Market Stat" })
// Found: e9a92188-1f5e-4e1f-b158-87e163b8d84f
get_download_url({ dataset_id: "e9a92188-1f5e-4e1f-b158-87e163b8d84f" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/e9a92188-1f5e-4e1f-b158-87e163b8d84f/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"