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.
Qualité
Attribution
Statistics Denmark (StatBank Denmark). Source: Statistics Denmark – StatBank.dk. Data reproduced with source accreditation as required by Statistics Denmark.
Schéma
| Colonne | 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). |
Exemple de lignes
| 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 |
Télécharger un échantillon
Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).
Utiliser avec un LLM
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (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)Point d’accès API: https://datazimuts.com/v1/datasets/dst/dst_energy_consumption
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.