Electric power consumption (kWh per capita)
Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants, divided by midyear population.
energyelectricityclimateworld-bank
Quality
99.6
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: kWh per capita) |
Sample rows
| country_code | country_name | year | value |
|---|---|---|---|
| CAN | Canada | 2000 | 16844.4746140959 |
| CAN | Canada | 2001 | 16625.7828805815 |
| CAN | Canada | 2002 | 16912.1985545613 |
| CAN | Canada | 2003 | 16920.8709777662 |
| CAN | Canada | 2004 | 16823.8281411075 |
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/electric_power_consumption" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/world_bank/electric_power_consumption").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/electric_power_consumption
Tip: fetch /llms.txt for the full machine-readable catalog.