The Remote Communities Energy Database is a public resource that provides pertinent factual information about the generation and use of electricity and other energy sources for all remote communities in Canada. Communities are identified as remote communities if they are not currently connected to the North-American electrical grid nor to the piped natural gas network; and is a permanent or long-term (5 years or more) settlement with at least 10 dwellings. The Remote Communities Energy Database is the only national data source on energy in remote communities that is publically available on one centralized site. The Remote Communities Energy Database allows users to search and conduct analyses of remote communities and their energy context. Users are also able download the data from the Remote Communities Energy Database dataset in CSV (i.e., excel compatible) format. This data is collected from a number of sources including the remote communities themselves, local utilities, provincial and territorial government’s, Indigenous and Northern Affairs Canada (INAC), Statistics Canada, Natural Resources Canada (NRCan) and various other stakeholders.

This audit focused on whether Innovation, Science and Economic Development Canada and the Canadian Radio-television and Telecommunications Commission have improved the accessibility, affordability, and quality of high-speed Internet and mobile cellular connectivity for Canadians in rural and remote areas.

This report presents research findings on the delivery of legal aid and associated legal services to persons living in rural and remote areas of all provinces and territories. It is based on a review of the literature and interviews with 17 key respondents (with one or more from each jurisdiction) who were either directly involved in or had oversight of delivery of legal services in rural and remote areas of their jurisdictions.

“Ecumene” is a term used by geographers, meaning “inhabited lands.” 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. The Canadian Ecumene GeoDatabase 3.0 includes the custom boundaries for more than 3,000 populated areas across Canada, many of which were derived from remote-sensing “night-lights” imagery. Each ecumene place has a corresponding set of attributes pertaining to place name, province, ecozone, indigenous communities, and other descriptive information, as well as an initial custom set of demographic variables derived from Statistics Canada Census and National Household Survey data for 2001, 2006, 2011 and 2016. A number of additional layers are also included that map the extents of Canada's ecumene in alternate ways, using transportation and utility networks, nightlights imagery, and population density. (NOTE: In the list below, the V2 Shape, KML, and TIFF files have not changed for the CanEcumene 3.0) Provided layer: The Canadian Ecumene (CanEcumene) 3.0 GIS Database ============================================================================================ Database Citation (Update): Eddy, B.G., Muggridge, M., LeBlanc, R., Osmond, J., Kean, C., and Boyd, E. 2023. The CanEcumene 3.0 GIS Database. Federal Geospatial Platform (FGP), Natural Resources Canada. https://open.canada.ca Methods Publication Citation: Eddy B, Muggridge M, LeBlanc R, Osmond J, Kean C, Boyd E (2020) An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada’s Forest Ecumene. One Ecosystem 5: e55881. https://doi.org/10.3897/oneeco.5.e55881

Food prices published by the Nunavut Bureau of Statistics were combined with data from the Nutrition North Canada program and Statistics Canada to estimate the percentage of the Nutrition North Subsidy that was being passed on to consumers, using regression analysis.

This dataset consists of shapefile outlines of winter roads and ice roads in Canada, verified for the 2022-2023 winter road season. It focuses on the public winter roads leading to remote First Nations communities which have no permanent land access. The line data also includes private winter roads, community-built winter roads where information is available, and feeder roads connecting to the permanent road network. First Nations communities connected solely by winter roads are included as point locations. Their local roads were likewise verified, updated, or newly digitised if not included in Canada''s National Road Network (NRN) data. Features were traced by hand and information was extracted from Canada''''s NRN open datasets and then modified using Esri Imagery Basemap, Planet Labs and provincial, municipal and federal information. This dataset aims to provide a temporally and spatially consistent record of varying provincial datasets to support respective infrastructure departments and environmental research of surface and climatic conditions surrounding winter roads. The dataset was produced and funded through a NERC QUADRAT DTP studentship (NE/S007377/1).

This table contains 137088 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...) Urban-rural status (3 items: Total; urban-rural status; Rural; Urban ...) Sex (3 items: Both sexes; Females; Males ...) Health profile (144 items: Total population for the variable self-rated health; Excellent self-rated health; Very good self-rated health; Very good or excellent self-rated health ...) Characteristics (8 items: Number of persons; Coefficient of variation for number of persons; High 95% confidence interval; number of persons; Low 95% confidence interval; number of persons ...).

This dataset uses RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) satellite images to identify open water regions within ice-covered rivers during winter, with the aim to assess hydrokinetic resources near remote communities reliant on diesel fuel for electricity generation. The data is processed with the HyRASS, a machine learning-based SAR image processing and classification algorithm. Disclaimer: This dataset was designed to identify open water regions within ice-covered rivers for assessing hydrokinetic resources near remote communities reliant on diesel fuel for electricity generation and is subject to the following limitations: • This dataset was derived from RADARSAT Constellation Mission (RCM) Synthetic Aperture Radar (SAR) satellite images. While these images are generally reliable, they are subject to inherent limitations, including resolution constraints, potential distortion, and occasional inaccuracies in real-time conditions capture. • The HyRASS algorithm is designed to pinpoint open water areas using satellite images, with a particular emphasis on RCM quad polarization (QP) imagery. This specialization means that its effectiveness depends on the accessibility of this specific type of imagery. Consequently, the data it produces might not cover a broad spectrum of time periods. For more reliable results, it's essential to classify areas more regularly, ensuring that detected open water regions are consistent over time. This dataset is intended for preliminary assessment and should not be the sole basis for making critical decisions or investments related to hydrokinetic energy projects. Further validation and in-depth analysis are strongly recommended, and users should conduct their own due diligence and additional research to verify the data accuracy and relevance for specific applications. By accessing and using this dataset, users acknowledge and accept these disclaimers. The providers of this dataset explicitly absolve themselves of any responsibility or liability for any consequences arising from the use, reliance upon, or interpretation of this dataset. Users are advised that their use of the dataset is at their own risk, and they assume full responsibility for any actions or decisions made based on the information contained therein. This disclaimer is in accordance with applicable laws and regulations, and by accessing or utilizing the dataset, users agree to release the providers of this dataset from any legal claims, damages, or liabilities that may arise from such use.

The 2021 Regina Point-in-Time Count is supported through the Government of Canada’s Reaching Home: Canada’s Homelessness Strategy, as administered in Regina by Namerind Housing Corporation. Reaching Home is a community-based program aimed at preventing and reducing homelessness by providing direct support and funding to Designated Communities (urban centers), Indigenous communities, territorial communities and rural and remote communities across Canada. The opinions and interpretations in this publication are those of the author and do not necessarily reflect those of the Government of Canada. The Regina Point-in-Time Count Project was managed locally by Flow Community Projects. HelpSeeker Technologies conducted data validation and analysis, and collaborated on writing the final report.

Canada CA: Rural Land Area data was reported at 9,197,138.473 sq km in 2015. This records a decrease from the previous number of 9,198,346.026 sq km for 2000. Canada CA: Rural Land Area data is updated yearly, averaging 9,198,346.026 sq km from Dec 1990 (Median) to 2015, with 3 observations. The data reached an all-time high of 9,199,344.420 sq km in 1990 and a record low of 9,197,138.473 sq km in 2015. Canada CA: Rural Land Area data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Environmental: Land Use, Protected Areas and National Wealth. Rural land area in square kilometers, derived from urban extent grids which distinguish urban and rural areas based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights. Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons.;Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.;Sum;

Canada CA: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 0.548 % in 2015. This records a decrease from the previous number of 0.675 % for 2000. Canada CA: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 0.675 % from Dec 1990 (Median) to 2015, with 3 observations. The data reached an all-time high of 0.756 % in 1990 and a record low of 0.548 % in 2015. Canada CA: Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Environmental: Land Use, Protected Areas and National Wealth. Rural population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.;Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.;Weighted average;

The ePCCF product comprised of two files, the Unique ePCCF and the Rural Enhanced PCCF. The Unique Enhanced PCCF file contains 911,992 postal code points. The ePCCF is released twice per year to capture changes to the Canada Post postal code roster throughout the year.

While the basic PCCF may report a single postal code representing a half-dozen rural communities, our Enhanced PCCF uses a combination of place name and postal code data to assign to each record the characteristics (and location) of the DA. This Rural Enhanced PCCF refines rural postal code assignments by including the ability to match using a combination of postal code and community names commonly associated with that postal code.

This combination provides a greater degree of precision in locating rural records and results in more accurate assignment of data to customer records for rural areas.

The Enhanced PCCF can be used to geocode a company’s customer list and to append demographic and PRIZM® lifestyle segments to records for mapping and other analytical applications like data mining to uncover behavioural patterns for targeting campaigns.

The Inuit Communities geographic location dataset contains the geographic location of inhabited and serviced Inuit Communities in Canada as points, as well as data attributes specific to each community. This dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC) official source for Inuit Communities geographic location on maps. For more information, visit https://www.rcaanc-cirnac.gc.ca/eng/1100100014187/1534785248701.

Number of employees and unemployment rate by population centre and rural area, sex and age group, last 5 years.

“Ecumene” is a term used by geographers, meaning “inhabited lands.” 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. The Canadian Ecumene GeoDatabase 3.0 includes the custom boundaries for more than 3,000 populated areas across Canada, many of which were derived from remote-sensing “night-lights” imagery. Each ecumene place has a corresponding set of attributes pertaining to place name, province, ecozone, indigenous communities, and other descriptive information, as well as an initial custom set of demographic variables derived from Statistics Canada Census and National Household Survey data for 2001, 2006, 2011 and 2016. A number of additional layers are also included that map the extents of Canada's ecumene in alternate ways, using transportation and utility networks, nightlights imagery, and population density. (NOTE: In the list below, the V2 Shape, KML, and TIFF files have not changed for the CanEcumene 3.0) Provided layer: The Canadian Ecumene (CanEcumene) 3.0 GIS Database ============================================================================================ Database Citation (Update): Eddy, B.G., Muggridge, M., LeBlanc, R., Osmond, J., Kean, C., and Boyd, E. 2023. The CanEcumene 3.0 GIS Database. Federal Geospatial Platform (FGP), Natural Resources Canada. https://open.canada.ca Methods Publication Citation: Eddy B, Muggridge M, LeBlanc R, Osmond J, Kean C, Boyd E (2020) An Ecological Approach for Mapping Socio-Economic Data in Support of Ecosystems Analysis: Examples in Mapping Canada’s Forest Ecumene. One Ecosystem 5: e55881. https://doi.org/10.3897/oneeco.5.e55881

The collection of geolocated placenames in Canada represents a consistent and comprehensive distribution of named places across Canada. Named places include large and small cities, villages, First Nations Communities, Small Hamlets etc. This data draws from public information maintained by Natural Resources Canada as part of the Canadian Geographical Names Database and public information maintained by Crown-Indigenous Relations and Northern Affairs Canada. The set of geolocated placenames is currently used for the administration of rural broadband Internet contribution programs, but is equally applicable for other mapping or modelling purposes where a comprehensive set of geolocated placenames across Canada is required.

This table shows the distribution of the population by population centre size groups and the residual rural areas, for census divisions.

The Map of Radiocommunication Areas and the related data set were developed by Innovation, Science and Economic Development Canada (ISED) to delineate urban and rural areas of Canada for the purpose of the point-to-point fee model referenced in the Decision on the Licence Fee Framework for Fixed Point-to-Point Systems. The areas are based on the spectrum licensing Tier 5 service areas developed by ISED in 2019. For the point-to-point fee model, the Tier 5 metropolitan and urban areas are combined into one designation called “urban areas”. The Canada-US border is applied, and all areas other than urban and rural, including those outside of Canada, are considered to be remote. In the point-to-point fee model, different base rates for urban, rural, and remote areas are set per frequency range. The station location in relation to these areas is therefore one of the factors used in determining the base rate. The data available here for download is published on the Map of Radiocommunication Areas.

The documents below provide information about relationships between rural municipalities and their communities. (See the "related" tab for a link to pdf versions of this dataset.)

Ontario's Tele-Mental Health Service provides access to specialized mental health consultants to children and youth in rural, remote and underserved communities. This service uses videoconferencing. These shapefiles provide geospatial data used for mapping the 6 Tele-Mental Health service regions in Ontario. 3 serve the aboriginal population and 3 serve the general population.