| #1-1-1 |
data.Geography, data.Persons in low income |
2 |
| #1-2-1 |
data.Geography, data.Age group and family type, data.Statistics |
3 |
| #10-1-1 |
data.Geography |
1 |
| #10-2-1 |
Geography |
1 |
| #10-3-1 |
data.Geography, data.Type of work, data.National Occupational Classification (NOC), data.Age |
4 |
| #10-4-1 |
data.Geography, data.Economic family type |
2 |
| #11-1-1 |
data.Estimates |
1 |
| #11-2-1 |
data.Select housing vulnerable populations, data.Living with housing problems |
2 |
| #11-4-1 |
data.Geography |
1 |
| #11-5-1 |
data.Geography, data.Gender, data.Type of commute |
3 |
| #11-6-1 |
data.Geography, data.Sources of waste for disposal |
2 |
| #11-7-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #12-1-1 |
data.Geography |
1 |
| #12-2-1 |
data.Industries, data.Environmental protection activities or management practices |
2 |
| #12-3-1 |
data.Geography, data.Type of materials diverted, data.Sources of materials prepared for recycling |
3 |
| #13-1-1 |
Geography, Source |
2 |
| #13-2-1 |
data.Event type, data.Event sub-type |
2 |
| #13-3-1 |
data.Geography, data.Core public infrastructure assets, data.Type of municipality by population size |
3 |
| #14-2-1 |
data.Stock group |
1 |
| #15-1-1 |
data.Species group |
1 |
| #15-2-1 |
data.Trend |
1 |
| #15-3-1 |
data.Geography |
1 |
| #16-1-1 |
Selected sociodemographic characteristics |
1 |
| #16-2-1 |
data.Geography, data.Index |
2 |
| #16-3-1 |
data.Geography, data.Violations |
2 |
| #16-4-1 |
data.Geography, data.Type of cyber-related violation, data.Cyber-related violation |
3 |
| #16-5-1 |
data.Geography, data.Offences, data.Age of accused, data.Sex of accused |
4 |
| #16-6-1 |
data.Geography |
1 |
| #16-7-1 |
data.Institutions, data.Characteristics, data.Level of confidence |
3 |
| #17-2-1 |
data.Pillar, data.Region |
2 |
| #2-1-1 |
data.Geography, data.Economic family type, data.Demographic characteristics, data.Household food security status |
4 |
| #2-2-1 |
data.Index |
1 |
| #3-1-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #3-10-1 |
data.Sex, data.Age at time of death, data.Leading causes of death (ICD-10) |
3 |
| #3-11-1 |
data.Sex |
1 |
| #3-12-1 |
Geography, Type of event |
2 |
| #3-13-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #3-2-1 |
data.Geography, data.Sex, data.Grade, data.Type of e-cigarettes |
4 |
| #3-3-1 |
data.Geography, data.Age group, data.Sex, data.Measures |
4 |
| #3-4-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #3-5-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #3-6-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #3-7-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #3-8-1 |
data.Geography, data.Age, data.Selected diseases |
3 |
| #3-9-1 |
data.Disease |
1 |
| #4-1-1 |
data.Geography, data.Age group, data.Gender, data.Selected demographic characteristics |
4 |
| #4-2-1 |
data.Geography, data.Age group, data.Sex, data.Population characteristics, data.Educational attainment level |
5 |
| #5-1-1 |
data.Geography, data.Sex, data.Type of perpetrator |
3 |
| #5-1-2 |
data.Type of intimate partner violence, data.Selected characteristic |
2 |
| #5-2-1 |
data.Leadership position |
1 |
| #5-3-1 |
data.Geography, data.Sex, data.Age, data.Activity group |
4 |
| #6-1-1 |
data.Geography |
1 |
| #6-2-1 |
data.Geography |
1 |
| #6-3-1 |
data.Sector |
1 |
| #6-4-1 |
data.Geography, data.Land use category, data.Water quality |
3 |
| #7-2-1 |
data.Geography |
1 |
| #7-3-1 |
data.Geography, data.Type of electricity generation |
2 |
| #8-1-1 |
data.Geography, data.Age group, data.Sex, data.Population |
4 |
| #8-2-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #8-3-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #8-4-1 |
data.Geography, data.Age group, data.Sex |
3 |
| #8-5-1 |
data.Geography |
1 |
| #8-6-1 |
Geography |
1 |
| #9-2-1 |
data.Geography |
1 |
| #9-3-1 |
data.Geography, data.Population centres |
2 |
| #9-4-1 |
data.Geography, data.Population centres |
2 |
| #9-5-1 |
data.Geography, data.Asset |
2 |
| #9-6-1 |
data.Type of charging stations |
1 |