Exports of goods and services (% of GDP)
Exports of goods and services represent the value of all goods and other market services provided to the rest of the world, as a share of GDP.
tradeexportsworld-bank
Quality
99.9
Attribution
World Bank (https://data.worldbank.org)
Schema
| Column | Type | Description |
|---|---|---|
| country_code | string | ISO 3166-1 alpha-3 country code (World Bank API field countryiso3code). |
| country_name | string | Country name as published by the World Bank API. |
| year | integer | Calendar year of the observation (World Bank API field date). |
| value | float | Indicator value for the country and year, as defined by the World Bank indicator (see the dataset description). Missing values are null. (unit: % of GDP) |
Sample rows
| country_code | country_name | year | value |
|---|---|---|---|
| CAN | Canada | 2000 | 44.209235821106 |
| CAN | Canada | 2001 | 42.0399550909321 |
| CAN | Canada | 2002 | 40.0585914756691 |
| CAN | Canada | 2003 | 36.8659264359901 |
| CAN | Canada | 2004 | 37.3277433603474 |
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/world_bank/exports_gnfs" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/world_bank/exports_gnfs").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/world_bank/exports_gnfs
Tip: fetch /llms.txt for the full machine-readable catalog.