Sovereign Debt & Fiscal Indicators
2000–2023
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: Cross-national dataset of sovereign debt, fiscal policy, and financial indicators for 214 countries from 2000 to 2023. Sourced from the World Bank Open Data API, this dataset covers 28 key indicators including: central government debt (% of GDP), government revenue and expenditure, tax revenue composition (income, goods/services, international trade), external debt stocks, debt service ratios, current account balance, foreign reserves, lending and real interest rates, broad money supply, domestic credit, GDP and GDP per capita, GDP growth, foreign direct investment, trade openness, imports/exports, exchange rates, and stock market metrics.
- Coverage / snapshot
- 2000–2023
- 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: 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 | 70 of 70 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 | 70 of 70 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 |
| year | 0 / 10 | number | 0 / 10 |
| indicator_code | 0 / 10 | string | 0 / 10 |
| indicator_name | 0 / 10 | string | 0 / 10 |
| indicator_description | 0 / 10 | string | 0 / 10 |
| value | 0 / 10 | number | 0 / 10 |
About this data
Cross-national dataset covering central government debt, fiscal policy, tax revenue composition, external debt stocks, debt service ratios, and macroeconomic indicators from the World Bank World Development Indicators. Includes 28 key series across 214 countries and territories in long/tidy format.
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 9d2ac7a0-aadc-498c-a1d2-5a57ba7d20a9 --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| country_code | string | |
| country_name | string | |
| year | string | |
| indicator_code | string | |
| indicator_name | string | |
| indicator_description | string | |
| value | 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: "Sovereign Debt & Fiscal Indica" })
// Found: 9d2ac7a0-aadc-498c-a1d2-5a57ba7d20a9
get_download_url({ dataset_id: "9d2ac7a0-aadc-498c-a1d2-5a57ba7d20a9" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/9d2ac7a0-aadc-498c-a1d2-5a57ba7d20a9/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"