Population by single year of age and sex, annual
Resident population of Norway by single year of age (0-105) and sex, whole country, annual from 1986. Source: StatBank table 07459.
populationdemographicsage-structurenorway
Qualité
100
Attribution
Statistics Norway
Schéma
| Colonne | Type | Description |
|---|---|---|
| date | timestamp | Start of the observation period (SSB StatBank dimension Tid: month for monthly tables, year for annual tables). |
| series_id | string | Stable row key: the SSB StatBank dimension codes for this observation, joined by '.'. |
| series_label | string | Human-readable label: the SSB StatBank dimension value texts for this observation, joined by ' — '. |
| region | string | SSB StatBank dimension 'region'. Provider code values include: 0: The whole country; 31: Østfold; 3101: Halden; 3103: Moss; 3105: Sarpsborg; 3107: Fredrikstad. |
| region_name | string | Statistics Norway's value text for the 'region' dimension code. |
| sex | string | SSB StatBank dimension 'sex'. Provider code values include: 2: Females; 1: Males. |
| sex_name | string | Statistics Norway's value text for the 'sex' dimension code. |
| age | string | SSB StatBank dimension 'age'. Provider code values include: 000: 0 years; 001: 1 year; 002: 2 years; 003: 3 years; 004: 4 years; 005: 5 years. |
| age_name | string | Statistics Norway's value text for the 'age' dimension code. |
| contents | string | SSB StatBank dimension 'contents'. Provider code values include: Personer1: Persons. |
| contents_name | string | Statistics Norway's value text for the 'contents' dimension code. |
| value | integer | Measured value. Definition and unit depend on the series — see the 'contents' / 'contents_name' dimension, whose value texts are Statistics Norway's own (e.g. 'Consumer Price Index', '12-month rate (per cent)', 'Unemployment rate (LFS)', 'Persons'). |
Exemple de lignes
| date | series_id | series_label | region | region_name | sex | sex_name | age | age_name | contents | contents_name | value |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1986-01-01T00:00:00 | 0.1.000.Personer1 | The whole country — Males — 0 years — Persons | 0 | The whole country | 1 | Males | 000 | 0 years | Personer1 | Persons | 26175 |
| 1987-01-01T00:00:00 | 0.1.000.Personer1 | The whole country — Males — 0 years — Persons | 0 | The whole country | 1 | Males | 000 | 0 years | Personer1 | Persons | 26923 |
| 1988-01-01T00:00:00 | 0.1.000.Personer1 | The whole country — Males — 0 years — Persons | 0 | The whole country | 1 | Males | 000 | 0 years | Personer1 | Persons | 27394 |
| 1989-01-01T00:00:00 | 0.1.000.Personer1 | The whole country — Males — 0 years — Persons | 0 | The whole country | 1 | Males | 000 | 0 years | Personer1 | Persons | 29332 |
| 1990-01-01T00:00:00 | 0.1.000.Personer1 | The whole country — Males — 0 years — Persons | 0 | The whole country | 1 | Males | 000 | 0 years | Personer1 | Persons | 30325 |
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/ssb/population_by_age_sex" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/ssb/population_by_age_sex").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/ssb/population_by_age_sex
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.