r/OpenDataCanada

Image 1 — Ontario's opioid crisis is concentrated in the North — Thunder Bay's death rate is nearly 4× the provincial average
Image 2 — Ontario's opioid crisis is concentrated in the North — Thunder Bay's death rate is nearly 4× the provincial average
▲ 75 r/OpenDataCanada+1 crossposts

Ontario's opioid crisis is concentrated in the North — Thunder Bay's death rate is nearly 4× the provincial average

Context: Ontario recorded 2,242 confirmed and probable opioid toxicity deaths in 2024. Rates varied substantially across the province’s 34 public health units, with the highest rates concentrated in Northern Ontario.

Source: Office of the Chief Coroner of Ontario, via ODPRN; population estimates from Statistics Canada Table 17-10-0157-01

Full breakdown: https://opendatacanada.ca/articles/ontario-opioid-deaths-by-phu-2024

u/Banner9922 — 18 hours ago
▲ 179 r/OpenDataCanada+1 crossposts

Union Membership (Coverage) as % of Employees Across Canada — Ontario and Alberta Lowest, Quebec Highest (StatCan, 2025)

u/Expensive-Aerie-2479 — 8 days ago

Change in vote share between 2021 and 2025 election

Ternary Plot Showing Change in vote share between 2021 and 2025 election (Liberal / Conservative / Other)

Data: Canadian Election Study

Interpretation :

  • Younger Voters (Blue/Darker Lines): Show a strong shift away from "Other" parties, moving primarily downward toward the main establishment options, and a bit left toward liberals
  • Middle age voters, light blue and green moved down away from "Other" and split roughly equal between liberal and conservatives.
  • Older Voters (Red/Orange Lines): Moved strongly toward Liberals from both conservative and Other
u/hswerdfe_2 — 9 days ago

[OC] Crime Trends in Canadian Cities (1998–2025): Rising vs. Falling Offense Categories

Data: Statistics Canada, Table 35-10-0177 (police-reported crime severity/incidents by CMA). Tools: R, ggplot2 (mixed-effects modeling via lme4/arm).

Police-reported crime data across Canadian census metropolitan areas from 1998–2025, showing which offense categories are trending up or down over time.

Chart 1 : Long-term trend by city (mixed-effects model)
Estimated relative rate of change per CMA, where 0 = no net shift over the period. Red = upward trajectory, blue = downward. This isolates the direction of change in an typical city rather than raw volume.

Chart 2 : Category breakdown over time
Incidents per 100,000 population, faceted by offense category. Grey lines = individual CMAs, solid line/band = national median and interquartile range, dashed line = national average.

  • Rising: extortion, online/cyber-related exploitation, fraud, and shoplifting all show marked increases post-2015/2020 across most CMAs.
  • Falling: traditional property crimes — breaking & entering, motor vehicle theft, theft under $5,000 — show multi-decade declines since the early 2000s, despite some recent upticks.

A note on interpretation: this is police-reported data, so shifts can reflect actual changes in criminal activity, but also changing legal definitions, new digital reporting channels (e.g., online fraud reporting tools), shifting police enforcement priorities, and changes in public reporting behaviour over time.

Substack post with some more details.

u/hswerdfe_2 — 11 days ago
▲ 108 r/OpenDataCanada+1 crossposts

[OC] Dependency Ratio in Canada [1851 - 2075]

Dependency Ratio in Canada [1851 - 2075]

Data Comes directly from Statscan, I used the R programming language:

  • 2007 Lowest total dependency ratio ever
  • 2016 when seniors dependency overtook child dependency
u/hswerdfe_2 — 11 days ago