Leading Economies GDP Feature Panel
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: Paid PRO companion to the free base macro panel. 240 country-year rows derived from World Bank WDI GDP data (via datasets/gdp, CC BY 4.0), with 16 agent-ready analytical fields: annual rank/share/growth/index plus rank change, share change, growth acceleration, 3y/5y CAGR, leader gap, median-relative position, and cohort total GDP. Designed for macro screening, ranking-change detection, trend scoring and agent workflows.
- 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.
Sample structure score: 97.2 / 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 | 47.2 / 50 | 151 of 160 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 | 151 of 151 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 |
| year | 0 / 10 | number | 0 / 10 |
| gdp_usd_trillion | 0 / 10 | number | 0 / 10 |
| rank_within_top10 | 0 / 10 | number | 0 / 10 |
| share_of_top10_pct | 0 / 10 | number | 0 / 10 |
| yoy_nominal_usd_growth_pct | 1 / 10 | number | 0 / 9 |
| index_2000_100 | 0 / 10 | number | 0 / 10 |
| previous_year_rank | 1 / 10 | number | 0 / 9 |
| rank_change_yoy | 1 / 10 | number | 0 / 9 |
| share_change_yoy_pp | 1 / 10 | number | 0 / 9 |
| growth_acceleration_yoy_pp | 1 / 10 | number | 0 / 9 |
| cagr_3y_pct | 2 / 10 | number | 0 / 8 |
| cagr_5y_pct | 2 / 10 | number | 0 / 8 |
| gap_to_year_leader_pct | 0 / 10 | number | 0 / 10 |
| relative_to_year_median_pct | 0 / 10 | number | 0 / 10 |
| top10_total_gdp_usd_trillion | 0 / 10 | number | 0 / 10 |
About this data
Country-year rows with 16 analytical fields derived from World Bank WDI GDP data: annual rank, share, growth, index, rank change, share change, growth acceleration, 3-year and 5-year CAGR, leader gap, median-relative position, and cohort total GDP. Designed for macro screening, ranking-change detection, and trend scoring.
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 e48573ed-a96f-43bc-b018-c8ac2a3b633c --output dataset.bin
Full supplier documentation
Schema
| Name | Type | Description |
|---|---|---|
| country | string | |
| year | string | |
| gdp_usd_trillion | string | |
| rank_within_top10 | string | |
| share_of_top10_pct | string | |
| yoy_nominal_usd_growth_pct | string | |
| index_2000_100 | string | |
| previous_year_rank | string | |
| rank_change_yoy | string | |
| share_change_yoy_pp | string | |
| growth_acceleration_yoy_pp | string | |
| cagr_3y_pct | string | |
| cagr_5y_pct | string | |
| gap_to_year_leader_pct | string | |
| relative_to_year_median_pct | string | |
| top10_total_gdp_usd_trillion | string |
Sample Data
Preview a sample of the data before downloading.
Public sample only. Sign in to retrieve the full dataset, including free datasets.
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: "Leading Economies GDP Feature " })
// Found: e48573ed-a96f-43bc-b018-c8ac2a3b633c
get_download_url({ dataset_id: "e48573ed-a96f-43bc-b018-c8ac2a3b633c" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/e48573ed-a96f-43bc-b018-c8ac2a3b633c/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"