Real GDP growth
Gross domestic product is the most commonly used single measure of a country's overall economic activity. It represents the total value at constant prices of final goods and services produced within a country during a specified time period, such as one year.
Source: IMF DataMapper10,914 rowsUpdated: 9/21/2026
gdpgrowthmacroeconomicsimf
Quality
92.5
Attribution
International Monetary Fund (IMF DataMapper)
Schema
| Column | Type | Description |
|---|---|---|
| country_code | string | IMF country code (ISO 3166-1 alpha-3). |
| country_name | string | Country label from the IMF DataMapper country list. |
| year | integer | Calendar year of the observation. |
| value | float | Indicator value for the country and year, as defined by the IMF World Economic Outlook (see the dataset description). Missing values are null. (unit: annual % change) |
Sample rows
| country_code | country_name | year | value |
|---|---|---|---|
| ABW | Aruba | 1987 | 16.1 |
| ABW | Aruba | 1988 | 18.6 |
| ABW | Aruba | 1989 | 12.1 |
| ABW | Aruba | 1990 | 4 |
| ABW | Aruba | 1991 | 8 |
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/imf/imf_real_gdp_growth" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/imf/imf_real_gdp_growth").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/imf/imf_real_gdp_growth
Tip: fetch /llms.txt for the full machine-readable catalog.