Canadian Index of Multiple Deprivation
The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2016 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition. Using factor analysis, DA-level factor scores were calculated for each dimension. Within a dimension, ordered scores were assigned a quintile value, 1 through 5, where 1 represents the least deprived and 5 represents the most deprived. The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.
- Publisher
- Statistics Canada
- Resources
- 12
- Catalogue metadata updated
- 2022-03-02
Data overview
- Formats
- ESRI REST, FGDB/GDB, HTML, MXD, WMS
- File languages
- English, French
Official sources and licences
Resources
- ArcMap Project File (English, MXD) MXD
- ArcMap Project File (French, MXD) MXD
- Canadian Index of Multiple Deprivation (English, ESRI REST) ESRI REST
- Canadian Index of Multiple Deprivation (French, WMS) WMS
- Canadian Index of Multiple Deprivation (French, ESRI REST) ESRI REST
- Canadian Index of Multiple Deprivation (English, WMS) WMS
- Canadian Index of Multiple Deprivation: Dataset and User Guide (French, HTML) HTML
- Canadian Index of Multiple Deprivation: Dataset and User Guide (English, HTML) HTML
- Dictionary, Census of Population, 2016 - Dissemination area (DA) (French, HTML) HTML
- Dictionary, Census of Population, 2016 - Dissemination area (DA) (English, HTML) HTML
- ESRI Geodatabase File (English, FGDB/GDB) FGDB/GDB
- ESRI Geodatabase File (French, FGDB/GDB) FGDB/GDB