Denmark: national accounts - demand and supply
Statistics Denmark (DST) annual national accounts (demand and supply): gross domestic product, imports, exports, private and government consumption, gross capital formation and final demand in current prices (billion DKK), 2020 chained prices (billion DKK) and period-to-period real growth (per cent), 1966 onwards. Rows are transaction x year x price measure.
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 NAN1 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 NAN1 (table-level unit, or gigajoules for the energy account). |
| value | float | Observed value (StatBank 'INDHOLD' content column, table NAN1); '..' or blank entries are stored as missing. |
| transaction_code | string | Statistics Denmark StatBank variable code (transaction). |
| transaction_label | string | Statistics Denmark StatBank variable label (transaction). |
| price_measure_code | string | Statistics Denmark StatBank variable code (price unit). |
| price_measure_label | string | Statistics Denmark StatBank variable label (price unit). |
Sample rows
| date | series_id | series_label | unit | value | transaction_code | transaction_label | price_measure_code | price_measure_label |
|---|---|---|---|---|---|---|---|---|
| 1966-01-01T00:00:00 | NAN1|B1GQK|V_M | B.1*g Gross domestic product — Current prices, (bill. DKK.) | - | 82.4 | B1GQK | B.1*g Gross domestic product | V_M | Current prices, (bill. DKK.) |
| 1967-01-01T00:00:00 | NAN1|B1GQK|V_M | B.1*g Gross domestic product — Current prices, (bill. DKK.) | - | 90.8 | B1GQK | B.1*g Gross domestic product | V_M | Current prices, (bill. DKK.) |
| 1968-01-01T00:00:00 | NAN1|B1GQK|V_M | B.1*g Gross domestic product — Current prices, (bill. DKK.) | - | 101.3 | B1GQK | B.1*g Gross domestic product | V_M | Current prices, (bill. DKK.) |
| 1969-01-01T00:00:00 | NAN1|B1GQK|V_M | B.1*g Gross domestic product — Current prices, (bill. DKK.) | - | 115.6 | B1GQK | B.1*g Gross domestic product | V_M | Current prices, (bill. DKK.) |
| 1970-01-01T00:00:00 | NAN1|B1GQK|V_M | B.1*g Gross domestic product — Current prices, (bill. DKK.) | - | 128.1 | B1GQK | B.1*g Gross domestic product | V_M | Current prices, (bill. DKK.) |
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_national_accounts" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/dst/dst_national_accounts").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_national_accounts
Tip: fetch /llms.txt for the full machine-readable catalog.