Denmark: gross energy consumption by sector and fuel
Statistics Denmark (DST) energy account: gross energy consumption in gigajoules (GJ) by sector (total industries and households, total industries, households) and fuel (total energy, oil products, natural gas, coal and coke, renewable energy, electricity, district heat), annual 1966 onwards. Rows are sector x fuel x year.
Quality
Attribution
Statistics Denmark (StatBank Denmark). Source: Statistics Denmark – StatBank.dk. Data reproduced with source accreditation as required by Statistics Denmark.
Schema
| Column | Type | Description |
|---|---|---|
| date | timestamp | Reference period of the observation, mapped to the first day of the period (StatBank 'time' variable; table ENE3H on StatBank Denmark). |
| series_id | string | Stable machine identifier: StatBank table code followed by the provider's variable value codes, pipe-separated. |
| series_label | string | Human-readable series label built from Statistics Denmark's own StatBank variable value texts. |
| unit | string | Unit of measurement as published by Statistics Denmark for table ENE3H (table-level unit, or gigajoules for the energy account). |
| value | float | Observed value (StatBank 'INDHOLD' content column, table ENE3H); '..' or blank entries are stored as missing. |
| sector_code | string | Statistics Denmark StatBank variable code (industry). |
| sector_label | string | Statistics Denmark StatBank variable label (industry). |
| fuel_code | string | Statistics Denmark StatBank variable code (type of energy). |
| fuel_label | string | Statistics Denmark StatBank variable label (type of energy). |
Sample rows
| date | series_id | series_label | unit | value | sector_code | sector_label | fuel_code | fuel_label |
|---|---|---|---|---|---|---|---|---|
| 1966-01-01T00:00:00 | ENE3H|ETOT|ETOT | Industries and households — TOTAL | GJ | 781043603 | ETOT | Industries and households | ETOT | TOTAL |
| 1967-01-01T00:00:00 | ENE3H|ETOT|ETOT | Industries and households — TOTAL | GJ | 796964553 | ETOT | Industries and households | ETOT | TOTAL |
| 1968-01-01T00:00:00 | ENE3H|ETOT|ETOT | Industries and households — TOTAL | GJ | 748112102 | ETOT | Industries and households | ETOT | TOTAL |
| 1969-01-01T00:00:00 | ENE3H|ETOT|ETOT | Industries and households — TOTAL | GJ | 806937981 | ETOT | Industries and households | ETOT | TOTAL |
| 1970-01-01T00:00:00 | ENE3H|ETOT|ETOT | Industries and households — TOTAL | GJ | 899286367 | ETOT | Industries and households | ETOT | TOTAL |
Download sample data
Download the full sample snapshot for this dataset (sample rows, not the complete dataset).
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/dst/dst_energy_consumption" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/dst/dst_energy_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/dst/dst_energy_consumption
Tip: fetch /llms.txt for the full machine-readable catalog.