The Labour Force Distribution (LFD) maps are derived from the CanEcumene 2.0 Geodatabase using custom tabulations of census-based labour force data. These LFD maps were calculated for each of the five major natural resource sectors in Canada: Forestry, Fisheries, Agriculture, Minerals, and Petroleum and Coal. The measure used is the labour force of each sector as a proportion of the goods-producing sectors in the economy. Labour force proportions were first calculated at the individual community level, and then interpolated on a regional level using GIS (see Eddy et. al. 2020 for more detail). In effect, these maps show the strong importance of Canada’s natural resource sectors in various regions of the country. The darker the tone in each map indicates a region’s higher degree of dependency on a given sector for their economic livelihood.

This layer represents the Employment Program Catchment Areas that the Employment and Labour Market Services Division of the Ministry of Social Development and Social Innovation maintains.

This layer represents the regional boundaries that the Employment and Labour Market Services Division of the Ministry of Social Development and Social Innovation maintains.

Boundaries of the National Capital Region since 1959, with the coming into force of the National Capital Act

This dataset includes commonly used socio-economic indicators by CSD (census subdivision). The feature classes were created from geosptial boundary files and tabular data related to the 2016 Census of Canada, Statistics Canada. The topics included are: Age groups and sex, core housing needs, dwelling types, Education, labour force, immigration, Income, knowledge of languages, lone parent family, mobility, housing tenure and visible minorities. This does not constitute an endorsement by Statistics Canada of this product.

A collection of online resources where one can obtain different Labour Market Information.

The Community Well-Being (CWB) Index is a method of assessing socio-economic well-being in Canadian communities. Various indicators of socio-economic well-being, including education, labour force activity, income and housing, are derived from Statistics Canada's Census of Population and combined to give each community a well-being "score". These scores are used to compare well-being across First Nations and Inuit communities with well-being in other Canadian communities. Indicator values may be missing for a community because of non-participation in the census, inadequate data quality, or insufficient population size. For more information on the subject, visit https://www.sac-isc.gc.ca/eng/1100100016579.

The data represents the relative cultivation intensity in the agricultural area of Alberta. Cultivation intensity refers to the frequency of cultivation associated with the following management systems: no till, conventional tillage and summerfallow. It is an estimate of the degree to which cultivation contributes to wind and water erosion. The classes shown on the map are ranked between 0 (lowest) and 1 (highest).This map was created in 2002 using ArcGIS.

Land uses of the most recent version in force of the revised land use and development plan for the City of Sherbrooke. For more details, see the Planning and Land Use Section.attributs:ID - Unique IdentifierType - Assignment Type**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Many communities in Canada depend to some extent on forestry and the forest sector. The importance of the forest industry to the regional economy can be assessed using the CanEcumene GIS Database. “Ecumene” is a term used by geographers, meaning “inhabited lands.” A forest ecumene refers to areas where human settlement coincides with forested areas, including locations where people depend on the forest for their livelihood. Populated places in the ecumene database are referenced using natural boundaries, as opposed to administrative or census boundaries, and provide a more suitable means for integrating socio-economic data with ecological and environmental data in a region.An analysis of ecumene labour force data and location of mill facilities resulted in a generalized rendering showing regional dependency of the forest industry. The location of mill facilities layer includes information on mill type (i.e., pulp and saw) and ownership. The sensitivity to forest industry layer shows which forest communities and regions are more sensitive to economic impacts in the forest industry.Two layers are provided: the sensitivity of forest communities and regions to forest industry, and the location of mill facilities.