Health status and chronic conditions, Canada and provinces

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Annual health status and chronic-condition prevalence for the population aged 18 and over, from Statistics Canada table 13-10-0905-01 (Canadian Community Health Survey, annual component): the percent whose self-rated health and mental health are very good/excellent or fair/poor, and the percent reporting diagnosed diabetes, high blood pressure, arthritis, a mood disorder or an anxiety disorder, or whose adjusted self-reported BMI classifies them as overweight or obese. Covers Canada (excluding territories) and the 10 provinces, 2015 to 2024; territorial data are not included in the annual estimates. CCHS is a survey, so small-province estimates carry sampling variability and suppressed cells stay null, never imputed. Released roughly annually.

Source: Statistics Canada — Health
Rows: 1,210
Columns: 8
Source cadence: Yearly
Last refreshed: Sep 27, 2026
Theme: health

Column	Type	Description
date	date	Reference year of the observation (the WDS Datapoint 'refPer' field), mapped to the first day of the year for this annual table (e.g. 2024-01-01 means the 2024 reference year).
country_code	string	ISO 3166-1 alpha-3 country code, always 'CAN' — the join key for the 'Enrich with public data' feature.
geo_name	string	Geography: 'Canada' (Canada excluding the territories — the annual estimates publish no territorial data) or one of the 10 provinces.
indicator_name	string	The CCHS health indicator, e.g. 'Diabetes', 'Current smoker, daily', 'Life satisfaction, satisfied or very satisfied'.
series_id	string	Statistics Canada vector identifier for the series (the WDS 'vectorId', prefixed with 'v', e.g. 'v1600652214'). Vectors are the stable public identifiers printed on StatCan tables.
series_label	string	Official English series title from WDS Series Info, e.g. 'Canada (excluding territories);Total, 18 years and over;Both sexes;Diabetes;Percent'.
unit	string	Unit of measure: 'percent' for both datasets (share of the population aged 18 and over).
value	float	Observation value as published by Statistics Canada, with no transformation. May be null where StatCan suppressed a cell or published no value; missing values are never imputed.

First 10 sample rows — a preview, not the complete dataset.

date	country_code	geo_name	indicator_name	series_id	series_label	unit	value
2015-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	61.1
2016-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	60
2017-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	59.9
2018-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	59.7
2019-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	60.1
2020-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	61.3
2021-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	58.8
2022-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	53.8
2023-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	52.2
2024-01-01	CAN	Canada	Perceived health, very good or excellent	v1600652150	Canada (excluding territories);Total, 18 years and over;Both sexes;Perceived health, very good or excellent;Percent	percent	52

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/statcan_health/ca_health_conditions" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/statcan_health/ca_health_conditions").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/statcan_health/ca_health_conditions

Tip: fetch /llms.txt for the full machine-readable catalog.

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Pinned to snapshot 20260927T070248Z-38f2fefd6dec and its content hash, so readers get exactly the data you used.

APA

Statistics Canada — Health. (2026). Health status and chronic conditions, Canada and provinces [Data set, snapshot 20260927T070248Z-38f2fefd6dec, sha256 38f2fefd6dec]. Datazimuts. Retrieved 2026-09-27, from https://datazimuts.com/en/datasets/statcan_health/ca_health_conditions?snapshot=20260927T070248Z-38f2fefd6dec

BibTeX

@misc{dz_statcan_health_ca_health_conditions_38f2fefd,
  title        = {{Health status and chronic conditions, Canada and provinces}},
  author       = {{Statistics Canada — Health}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/statcan_health/ca_health_conditions?snapshot=20260927T070248Z-38f2fefd6dec}},
  note         = {Snapshot 20260927T070248Z-38f2fefd6dec, sha256 38f2fefd6dec1a9a23abb0fa8ed6895e717b0756805d86bf4ab8529efd9b3a47; accessed 2026-09-27}
}

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Health status and chronic conditions, Canada and provinces

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