PUBLIC OPINION TRACKER — CANADA 2026
Quick Answer: NUUN's Canadian Public Opinion Tracker is a continuously updated, methodology-disclosed read of federal vote intent, issue salience, institutional trust, and economic sentiment. Fielded monthly to a probability-based online panel of 1,500 Canadians with post-stratification weighting, the tracker reports with full AAPOR Transparency Initiative disclosure. This page summarizes the April 2026 read, the methodology, and where to access the underlying data.
APRIL 2026 HEADLINES
- Cost of living remains the top-salience issue (named by 41% as the most important problem facing Canada), ahead of healthcare (18%) and housing (14%).
- Institutional trust in federal government sits at 38% (a 2-point rise vs January), Supreme Court at 61%, Bank of Canada at 54%.
- Provincial variance is wide: economic optimism is +18 in Alberta vs −9 in Ontario on a net-optimism index.
- Housing affordability is the top first-mentioned issue in urban Ontario and British Columbia. Outside those two provinces, cost of groceries ranks higher.
All figures rounded. Full crosstabs available on request.
METHODOLOGY
Sample. n=1,500 Canadian adults 18+, recruited via probability-based online panels (Léger Opinion, Dynata, Cint). Stratified by province, age, gender, and education.
Weighting. Post-stratified against Statistics Canada 2021 Census frames for age × gender × region, adjusted for education.
Field period. Monthly waves, typically 6–8 field days, weekends included.
Margin of error. Probability sample of n=1,500 has a credibility interval of approximately ±2.5 percentage points at the 95% confidence level. Subgroup estimates have wider intervals; reported in crosstabs.
Disclosure. Full AAPOR Transparency Initiative disclosure published alongside each wave. CRIC code of conduct applied. ESOMAR 28 questions answered.
Data availability. Aggregate results published here; crosstabs available to subscribers and research partners.
WHAT WE TRACK
| Block | Questions | Cadence | |---|---|---| | Federal vote intent | Party support, leader favourability, decided/undecided | Monthly | | Issue salience | Most important problem, top-of-mind issues | Monthly | | Institutional trust | Government, courts, central bank, media | Quarterly | | Economic sentiment | Household finances, 12-month outlook, inflation expectations | Monthly | | Consumer confidence | Major-purchase intent, savings/spending mix | Monthly | | Regional modules | Province-specific issue tracking | Rotating quarterly |
HOW CANADA COMPARES
Four trends that shape the 2026 read:
Durable cost-of-living salience. Cost of living has held the top-issue position continuously since mid-2022. No other issue has come within 15 points since then.
Healthcare climbing. Healthcare has moved from a secondary issue (10% in 2021) to clear #2 (18% in April 2026). Aging population and service-access frictions are the dominant drivers in follow-up probing.
Trust bifurcation. Trust in the Supreme Court and Bank of Canada has held steady; trust in federal government and mainstream media has declined, though both recovered modestly over 2025.
Regional divergence on economic sentiment. The Alberta–Ontario spread on net-optimism (+18 vs −9 in April) is wider than any month since 2019.
HOW WE USE THIS DATA
The tracker serves three audiences:
- Policy and public-affairs clients use it to anticipate issue shifts and calibrate message testing.
- Advertisers and brands use it for salience-based media planning and creative framing.
- Researchers and journalists access the methodology note and crosstabs as a public-interest data source.
Every client-commissioned political or public-affairs study we run is anchored against the tracker to ensure sample frame and weighting align with the broader Canadian adult population.
METHODOLOGY DISCIPLINE
Three standards shape how we run the tracker:
AAPOR Transparency Initiative. Full disclosure on sample, mode, weighting, dates, and question wording.
CRIC code of conduct. Canadian Research Insights Council membership; bi-annual code review.
ESOMAR 28. Public answers to the 28 questions on research supplier practices.
No sponsored questions appear in the tracker; client-specific research is published under a separate methodology note.
LIMITATIONS
Online panel coverage. Probability-based online panels achieve high coverage of Canadian adults but under-represent the digitally disengaged. We mitigate via education and region weighting, but residual bias on low-literacy segments remains.
Language modes. Tracker is fielded in English and French. Allophone respondents are surveyed in English or French per preference; no additional languages are offered in the tracker.
Respondent fatigue. Continuous panels drift; we refresh sample composition regularly and monitor response-rate trends.
Probability sample caveat. Modern online probability panels are not the random-digit-dialled phone samples of earlier decades. The credibility interval is a modelled estimate, not a classical sampling error.
FAQ
Q: Is this the same as Léger, Nanos, or Abacus polling?
A: We are a separate practice with our own sample frame and methodology. Each Canadian pollster has methodological choices; we publish ours to permit comparison.
Q: How do I access crosstabs?
A: Email polling [at] nuundigital [dot] com with the wave and subgroups you need. Crosstabs are provided free to media, academic researchers, and NUUN clients.
Q: Does NUUN do political campaign work?
A: We decline partisan campaign polling while the tracker is active. Research for non-partisan public-affairs files and ballot-measure campaigns is accepted under separate methodology notes.
Q: What's your vote-intent methodology?
A: We ask decided leaning among the likely-voter screen, then allocate leaners per the most recent available electoral behaviour. Methodology note published with each wave.
Q: How do I subscribe to monthly updates?
A: Sign up at /insights/subscribe/. Monthly summary and quarterly deep-dive issued free.
Q: Can I license the data for my own research?
A: Yes. Licensing available for academic, public-interest, and commercial uses. Terms vary.
Q: What's the right sample size for statewide or provincial reads?
A: n=600–1,000 per province for stable subgroup estimates. Our n=1,500 national sample supports reliable reads for ON, QC, and the Prairies as aggregate; smaller provinces require oversampling for reliable stand-alone reads.
Q: Do you run issue-specific deep dives?
A: Yes. Quarterly deep dives on housing, healthcare, immigration, and climate. Commissioned studies on request.
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