Diabetes in Canada: An interactive report on key statistics: Technical notes

Additional information on the data sources used to create this interactive report, and the indicators and terms used in this publication.

  • Last updated: 2025-11-20

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Data sources

  • Canadian Chronic Disease Surveillance System (CCDSS):
    The CCDSS collects data on all residents who are eligible for provincial or territorial health insurance. It can be used to generate national estimates and trends over time for over 20 chronic diseases and conditions, and other selected health outcomes. To identify people with chronic diseases and conditions, provincial and territorial health insurance registry records are linked using a unique personal identifier to the corresponding physician billing claims, hospital discharge abstract records and prescription drug records. Cases are identified based on the International Statistical Classification of Diseases, Injuries, and Causes of Death, Ninth Revision (ICD-9) and ICD-9-Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Canada (ICD-10-CA). The CCDSS data are reported by fiscal year, April 1 to March 31. The fiscal year period is denoted by a dash, for example 2023–2024.
  • Canadian Community Health Survey - Annual Component (CCHS):
    The CCHS is a cross-sectional survey that gathers health-related data at the sub-provincial levels of geography (health region or combined health regions). It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. 2019-2020 annual components were utilized. The 2020 annual file (excluding territories) was utilized for the physical activity and fruit and vegetable consumption indicators.
  • Canadian Health Measures Survey (CHMS):
    The CHMS aims to collect important health information through a household interview and direct physical measures at a mobile examination centre (MEC), sometimes referred to as a mobile clinic. Data from 2007 to 2019 from combined cycles 1-6 were utilized.

About the indicators

Where possible/applicable, the indicators were stratified by diabetes status and then stratified by sex and age group. Estimates could not be reported by diabetes type due to data source limitations. Cross-sectional surveys such as the CCHS and CHMS used to estimate our findings may be susceptible to reverse causality due to the cross-sectional nature of the survey designs. It is not possible to establish temporal sequence and there is potential bias due to self-reporting.

Indicator Definition Data source
Blood pressure target

Prevalence of individuals aged 18-79 years with diabetes (self-reported, measured, medication use) who had measured systolic blood pressure/diastolic blood pressure below 130/80 mm Hg.

Types of diabetes are combined. Gestational diabetes, pregnant women and respondents with missing laboratory blood test data are excluded.

CHMS, 2007-2019
Body mass index (BMI)

Obesity: Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) with an adjusted BMI greater or equal to 30.0 kg/m2.

Overweight: Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) with an adjusted BMI score greater or equal to 25.0 kg/m2 but less than 30.0 kg/m2

BMI calculations are based on self-reported height and weight and adjusted to respondent bias to more closely approximate measured values.

References:

  1. Connor Gorber S, Shields M, Tremblay MS, McDowell I. The feasibility of establishing correction factors to adjust self-reported estimates of obesity. Health Reports (Statistics Canada, Catalogue 82-003) 2008; 19(3): 71-82.
  2. Shields M, Gorber SC, Janssen I, Tremblay MS. Bias in self-reported estimates of obesity in Canadian health surveys: an update on correction equations for adults. Health Reports 2011; 22(3): 35-45.
CCHS, 2019-2020
Dementia, including Alzheimer's disease

Prevalence of health insured individuals aged 65 years and older that are diagnosed with dementia, including Alzheimer’s disease, per fiscal year.

Cases were identified by having one or more hospital separation records, or three or more physician claims within two years with at least 30 days between each claim with an ICD-9(-CM) or ICD-10-CA code for dementia, including Alzheimer’s disease (any diagnostic fields), or one or more prescription drug filled for dementia, including Alzheimer’s disease.

CCDSS, 2023–2024
Diabetes (diagnosed)footnote

Prevalence OR incidence rate of health insured individuals aged 1 year and older that are diagnosed with diabetes, per fiscal year.

Cases were identified by having one or more hospital separation records or two or more physician claims within two years with an ICD-9(-CM) or ICD-10-CA code for diabetes (any diagnostic fields).

Types of diabetes are combined and gestational diabetes excluded.

CCDSS, 2023–2024
Diabetes (undiagnosed)footnote ¥

Prevalence of individuals aged 20-79 years who did not self-report being diagnosed with diabetes, did not take blood glucose lowering medications in the past month and had an A1C level greater or equal to 6.5%.

Types of diabetes are combined. Gestational diabetes, pregnant women and respondents with missing laboratory blood test data are excluded.

CHMS, 2007-2019
Diabetes (self-reported, measured, medication use)footnote §

Prevalence of individuals aged 18-79 years who self-reported being diagnosed with diabetes or took blood glucose lowering medications in the past month or had a measured A1C level greater or equal to 6.5%.

Types of diabetes are combined. Gestational diabetes, pregnant women and respondents with missing laboratory blood test data are excluded.

CHMS, 2007-2019
Diabetes (self-diagnosed)footnote

Prevalence of individuals aged 18 years and older who self-reported being diagnosed with diabetes.

Types of diabetes are combined. Gestational diabetes and pregnant women are excluded.

CCHS, 2019-2020
Diabetes ketoacidosis

Number of individuals aged 1 year and older hospitalized with evidence of diabetes ketoacidosis, per fiscal year.

Cases were identified by having one or more hospital separation records with an ICD-9(-CM) or ICD-10-CA code for diabetes ketoacidosis.

CCDSS, 2023–2024
Education Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) who self-reported completing less than a high school level of education. CCHS, 2019-2020
Fruit and vegetable consumption

Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) who self-reported consuming fruits and vegetables less than 5 times per day, during the last month.

Territories are excluded.

CCHS, 2020
Glycemic target

Prevalence of individuals aged 18-79 years with diabetes (self-reported, measured or medication use) who meet optimal blood glucose targets of A1C less or equal to 7.0%.

Types of diabetes are combined. Gestational diabetes, pregnant women and respondents with missing laboratory blood test data are excluded.

CHMS, 2007-2019
Heart failure

Prevalence of health insured individuals aged 40 years and older with diagnosed heart failure, per fiscal year.

Cases were identified by having one or more hospital separation records with an ICD-9(-CM) or ICD-10-CA for heart failure or two or more physician claims within one year with an ICD-9 or ICD-10-CA code for heart failure (any diagnostic fields).

CCDSS, 2023–2024
Hospitalizations by cause (lower limb amputations, end-stage kidney disease, chronic kidney disease, heart failure, ischemic heart disease, stroke or any cause)

Rate ratios between the proportions of individuals with and without diabetes (diagnosed) by cause of hospitalization, per fiscal year.

Cases were identified by having one or more hospital separation records with an ICD-9(-CM) or ICD-10-CA code either for lower limb amputations, end-stage kidney disease, chronic kidney disease, heart failure, ischemic heart disease, stroke or any cause.

CCDSS, 2023–2024
Hypertension

Prevalence of health insured individuals aged 20 years and older with diagnosed hypertension, per fiscal year.

Cases were identified by having one or more hospital separation records or two or more physician claims within two years with an ICD-9(-CM) or ICD-10-CA code for hypertension (any diagnostic fields).

Gestational hypertension is excluded.

CCDSS, 2023–2024
Immigrant status Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) who self-reported being an immigrant (landed immigrant and non-permanent resident). Respondents reporting being born in Canada were considered non-immigrant. CCHS, 2019-2020
Income quintile Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) by self-reported income quintile, for the last calendar year. Income quintile is a relative measure of respondents’ household income to the household income of all other respondents. Q1 refers to the lowest income and Q5 to the highest income. CCHS, 2019-2020
Ischemic heart disease

Prevalence of health insured individuals aged 20 years and older with diagnosed ischemic heart disease, per fiscal year.

Cases were identified by having one or more hospital separation records with an ICD-9(-CM) or ICD-10-CA or procedure code (CCI or CCP) for ischemic heart disease or two or more physician claims within one year with an ICD-9 or ICD-10-CA code for ischemic heart disease (any diagnostic fields).

CCDSS, 2023–2024
Mental health Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) who self-reported their own mental health status as being either “fair” or “poor”. CCHS, 2019-2020
Mood and anxiety disorder Prevalence of individuals aged 18 years and older with/without diabetes, who self-reported having a diagnosed mood disorder (such as depression, bipolar disorder, mania or dysthymia) and/or a diagnosed anxiety disorder (phobia, obsessive-compulsive disorder, or a panic disorder) that is expected to last or have already lasted for a period of 6 months or longer. CCHS, 2019-2020
Mortality (all-cause) All-cause mortality rates and rate ratios among individuals aged 1 year and older with and without diabetes (diagnosed), per fiscal year. Estimates are age-standardized to the 2021 Canadian population, using unrounded counts and five-year age groups, to adjust for differences in population age structure. CCDSS, 2023–2024
Physical activity

Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) who self-reported meeting the Canadian 24-Hour Movement Guidelines (150 minutes of moderate-to-vigorous intensity physical activity per week), in the last 7 days.

CCHS data only permits reporting on physical activity obtained in bouts of 10 minutes or more (as prescribed by the previous Canadian Physical Activity Guidelines), but not the current physical activity recommendation within the Canadian 24-Hour Movement Guidelines for adults and older adults, where the 10 minutes bouts requirement was removed.

Territories are excluded.

CCHS, 2020
Prediabetesfootnote ф

Prevalence of individuals aged 20-79 years who did not self-report being diagnosed with diabetes, did not take blood glucose lowering medications in the past month and had a measured A1C that is greater than or equal to 6.0% but less than 6.5%.

Gestational diabetes, pregnant women and respondents with missing laboratory blood test data are excluded.

CHMS, 2007-2019
Regular healthcare provider Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) who self-reported having a regular health care provider. CCHS, 2019-2020
Rural areas and population centres

Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) who self-reported living in a population centre or rural area.

This variable identifies whether the respondent lives in a population centre or a rural area within or outside of a census metropolitan area or census agglomeration. Population centres are those continuously built-up areas having a population concentration of 1,000 or more and a population density of 400 or more per square kilometre based on 2016 Census population counts.

CCHS, 2019-2020
Sleep apnea Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) who self-reported being diagnosed with sleep apnea, that has lasted 6 months or longer. CCHS, 2019-2020
Smoking Prevalence of individuals aged 18 years and older with/without diabetes (self-reported) who self-reported being a current smoker (daily or occasional). Number of cigarettes smoked is not considered. CCHS, 2019-2020
Statin use Prevalence of individuals aged 40-79 years with diabetes (self-reported, measured, medication use) who reported taking statins or lipid modifying agents. CHMS, 2007-2019
Stroke

Prevalence of health insured individuals aged 20 years and older with diagnosed stroke, per fiscal year.

Cases were identified by having one or more hospital separation records (any diagnosis fields) or two or more physician claims (first diagnosis field) within one year with an ICD-9(-CM) or ICD-10-CA code for stroke.

CCDSS, 2023–2024

Definitions

Reference *

Types of diabetes are combined. Gestational diabetes is excluded from the estimates presented. Undiagnosed diabetes and prediabetes estimates are not considered in the calculation of the prevalence of diabetes.

Return to reference * referrer

Reference †

Diabetes (diagnosed): Individuals with at least one inpatient hospital separation or at least two physician claims within two years with an ICD-9(-CM) or ICD-10-CA code for diabetes.

Return to reference referrer

Reference ‡

Diabetes (self-reported): Individuals who self-reported being diagnosed with diabetes by a healthcare professional.

Return to reference referrer

Reference §

Diabetes (self-reported, measured, medication use): Individuals who self-reported being diagnosed with diabetes, took blood glucose lowering medications in the past month or had an A1C level greater or equal to 6.5%.

Return to reference § referrer

Reference ¥

Diabetes (undiagnosed): Individual who did not self-report being diagnosed with diabetes, did not take blood glucose lowering medications in the past month and had hemoglobin A1C level greater or equal to 6.5%.

Return to reference ¥ referrer

Reference Ф

Prediabetes: Individual who did not self-report being diagnosed with diabetes, did not take blood glucose lowering medications and had hemoglobin A1C level of ≤ 6.0% and < 6.5%.

Return to reference Ф referrer

Reference ¤

Self-reported measures.

Return to reference ¤ referrer

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