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Population estimates, quarterly

Statistics Canada quarterly population estimates (table 17-10-0009-01): total population for Canada, the 10 provinces and the 3 territories. Quarterly, in persons.

Source: Statistics Canada4,508 lignesMis à jour: 22/09/2026
populationdemographicscanadaprovinces

Qualité

99.2

Attribution

Source: Statistics Canada

Schéma

ColonneTypeDescription
datestringReference period of the observation (the WDS Datapoint 'refPer' field), mapped to the start of the period: first day of the month for monthly series, first day of the quarter for quarterly series.
series_idstringStatistics Canada vector identifier for the series (the WDS 'vectorId', prefixed with 'v', e.g. 'v41690973'). Vectors are the stable public identifiers printed on StatCan tables.
series_labelstringOfficial English series title from the WDS Series Info response ('SeriesTitleEn'), e.g. 'Canada;All-items'.
unitstringUnit of measure for the series, from Statistics Canada's own UOM code set (memberUom): index (2002=100) for CPI, percent for labour force rates, millions of chained (2017) dollars for GDP by industry, persons for population estimates. Values are stored as published (not rescaled).
valuefloatObserved value for the series and reference period (the WDS Datapoint 'value' field), in the unit given by the 'unit' column. Missing observations are null.

Exemple de lignes

dateseries_idseries_labelunitvalue
1946-01-01v1Canadapersons12188000
1946-04-01v1Canadapersons12241000
1946-07-01v1Canadapersons12316000
1946-10-01v1Canadapersons12393000
1947-01-01v1Canadapersons12450000

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/statcan/statcan_population_estimates" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/statcan/statcan_population_estimates").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/statcan/statcan_population_estimates

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

Population estimates, quarterly