Minimum Wage & PPP Benchmark
2025
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: Research-grade dataset covering 62 countries with statutory minimum wages normalized to monthly USD equivalents, PPP-adjusted values, GDP per capita, and wage-to-GDP ratios. Data sourced from ILO, national labor ministries, World Bank GDP indicators, and IMF PPP conversion factors. Includes 10 fields per country: local currency amounts, USD nominal and PPP conversions, economic context metrics, and source annotations. Covers all major economies across 9 world regions.
- Coverage / snapshot
- 2025
- 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.
Sample structure score: 100 / 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 | 50 / 50 | 100 of 100 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 | 100 of 100 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 | 0 / 10 | string | 0 / 10 |
| region | 0 / 10 | string | 0 / 10 |
| minimum_wage_monthly_local | 0 / 10 | number | 0 / 10 |
| local_currency | 0 / 10 | string | 0 / 10 |
| minimum_wage_monthly_usd | 0 / 10 | number | 0 / 10 |
| minimum_wage_monthly_ppp_usd | 0 / 10 | number | 0 / 10 |
| gdp_per_capita_usd | 0 / 10 | number | 0 / 10 |
| wage_to_gdp_pct | 0 / 10 | number | 0 / 10 |
| data_year | 0 / 10 | number | 0 / 10 |
| source_notes | 0 / 10 | string | 0 / 10 |
About this data
Statutory minimum wages for 62 countries normalized to USD equivalents with PPP adjustment, GDP per capita, and wage-to-GDP ratios. Data sourced from ILO, national labor ministries, World Bank, and IMF, with 10 fields per country including local currency amounts, conversions, and source annotations.
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 e60feb44-72e2-4b98-a977-3cea05730c89 --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| country | string | |
| region | string | |
| minimum_wage_monthly_local | string | |
| local_currency | string | |
| minimum_wage_monthly_usd | string | |
| minimum_wage_monthly_ppp_usd | string | |
| gdp_per_capita_usd | string | |
| wage_to_gdp_pct | string | |
| data_year | string | |
| source_notes | string |
Sample Data
Preview a sample of the data before downloading.
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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: "Minimum Wage & PPP Benchmark" })
// Found: e60feb44-72e2-4b98-a977-3cea05730c89
get_download_url({ dataset_id: "e60feb44-72e2-4b98-a977-3cea05730c89" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/e60feb44-72e2-4b98-a977-3cea05730c89/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"