Gross domestic product (GDP) at basic prices, by industry, monthly

Name: Gross domestic product (GDP) at basic prices, by industry, monthly
Creator: Statistics Canada
License: https://www.statcan.gc.ca/en/terms-conditions/open-licence
Keywords: gdp, national-accounts, industry, canada, output

Statistics Canada monthly GDP at basic prices by industry (table 36-10-0434-01): all industries plus 16 key sectors (goods- and services-producing aggregates, manufacturing, construction, mining/oil/gas, wholesale, retail, transportation and warehousing, finance and insurance, real estate, professional services, health care, public administration, accommodation and food, education, utilities). Seasonally adjusted at annual rates, chained (2017) dollars, in millions. Monthly.

Source: Statistics Canada6,018 lignesMis à jour: 22/09/2026

gdpnational-accountsindustrycanadaoutput

Qualité

100

Attribution

Source: Statistics Canada

Schéma

Colonne	Type	Description
date	string	Reference 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_id	string	Statistics 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_label	string	Official English series title from the WDS Series Info response ('SeriesTitleEn'), e.g. 'Canada;All-items'.
unit	string	Unit 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).
value	float	Observed 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

date	series_id	series_label	unit	value
1997-01-01	v65201210	Canada;Seasonally adjusted at annual rates;Chained (2017) dollars;All industries	millions of chained (2017) dollars	1200427
1997-02-01	v65201210	Canada;Seasonally adjusted at annual rates;Chained (2017) dollars;All industries	millions of chained (2017) dollars	1207984
1997-03-01	v65201210	Canada;Seasonally adjusted at annual rates;Chained (2017) dollars;All industries	millions of chained (2017) dollars	1207836
1997-04-01	v65201210	Canada;Seasonally adjusted at annual rates;Chained (2017) dollars;All industries	millions of chained (2017) dollars	1216027
1997-05-01	v65201210	Canada;Seasonally adjusted at annual rates;Chained (2017) dollars;All industries	millions of chained (2017) dollars	1220355

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

Télécharger l'exemple CSV Télécharger l'exemple JSON

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_gdp_by_industry" | jq '{title, rows, columns_count, license}'

Python

import requests

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

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