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Orthorectified aerial imagery of the UBC Vancouver campus, 2017. Ortho Pixel size - 10 cm

Last Released: Nov 24, 2017

The 2016 Census Geographic Attribute File contains information at the dissemination block level, based on 2016 Census standard geographic areas. The data available include population counts, dwelling counts and land area. In addition, the 2016 Census Geographic Attribute File contains higher level standard geographic codes, names and, where applicable, types and classes. Data for higher level standard geographic areas can be derived by aggregating dissemination block-level data. The dissemination area representative point coordinates are also included in the 2016 Census Geographic Attribute File.

This version of the Geographic Attribute File is a dissemination block (DB)-level dataset which also includes data for the following 2016 Census standard geographic areas:

  • province and territory (PR)
  • economic region (ER)
  • census division (CD)
  • census consolidated subdivision (CCS)
  • census subdivision (CSD)
  • designated place (DPL)
  • federal electoral district (FED) (2013 Representation Order)
  • census metropolitan area (CMA), census agglomeration (CA) and census metropolitan in uenced zone (MIZ)
  • census tract (CT)
  • population centre (POPCTR) and rural area (RA)
  • aggregate dissemination area (ADA)
  • dissemination area (DA)

Last Released: Nov 22, 2017

This series of cross-tabulations present a portrait of Canada based on the various census topics. They range in complexity and are available for various levels of geography.

Last Released: Nov 20, 2017
Mapping permeability of saturated terrestrial lithologies over the surface of the Earth (data)by Gleeson, Tom; Smith, Leslie; Moosdorf, Nils; Hartmann, Jens; Durr, Hans; Manning, Andrew; van Beek, Ludovicus; Jellinek, A M

Auxiliary Materials for ‘Mapping permeability over the surface of the earth’ [Gleeson et al.] Table S1 is a compilation of horizontal intrinsic permeability, vertical anisotropy and horizontal unit length from peer-reviewed, calibrated models with hydrolithologic units that are >5 km in length with a shallow upper contact (< 100m depth). We compiled two-hundred and thirty hydrogeologic units from calibrated models which are grouped into seven hydrolithologic categories.

Last Released: Nov 17, 2017
Global volume and distribution of modern groundwater: groundwater age transport modeling results (data)by Gleeson, Tom ; Befus, Kevin; Jasechko, Scott; Luijendijk, Elco; Cardenas, M. Bayani

The authors combine geochemical, geologic, hydrologic and geospatial data sets with numerical simulations of groundwater and analyse tritium ages to show that less than 6% of the groundwater in the uppermost portion of Earth’s landmass is modern. We find that the total groundwater volume in the upper 2 km of continental crust is approximately 22.6 million km3, of which 0.1–5.0 million km3 is less than 50 years old. Although modern groundwater represents a small percentage of the total groundwater on Earth, the volume of modern groundwater is equivalent to a body of water with a depth of about 3 m spread over the continents. This water resource dwarfs all other components of the active hydrologic cycle. For each continent, we present the geomatic assignment of hydrologic parameters and the resulting simulation-based modern groundwater equivalent (D_eq50) for the purely geomatic assignment of parameters, an estimate pairing models to watersheds using groundwater recharge and strict lithology control, and an estimate using recharge and strict water table gradient control. These files have a 2 letter acronym for the continent/landmass followed by _globalws_results_Gleesonetal_NatGeo.csv. The corresponding watershed data can be downloaded at Geomatic analyses used an updated, unpublished HydroSHEDS watershed boundaries that are slightly different than those available on (Bernhard Lehner, personal communication 2014). Therefore, in the data presented here, we used a spatial join to assign the modeling results and geomatic data to the currently downloadable HydroSHEDS zeroth-level watersheds. Nearly all of the watersheds were very similar in extent, however a variable small percent (< 0.1%) of watersheds in each continent were not located in the currently downloadable HydroSHEDS data.

Last Released: Nov 17, 2017
Last Released: Nov 9, 2017

The Labour Force Survey provides estimates of employment and unemployment which are among the most timely and important measures of performance of the Canadian economy. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released.

The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these.

LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. For a full listing and description of LFS variables, see the Guide to the Labour Force Survey (71-543-G), available through the "Publications" link above.

These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.

Important note -- 4 August 2017

Labour Force Survey (LFS) data from January 2017 – July 2017 contained errors with numerical variables. Variables such as HRLYARN and UHRSMAIN were missing decimal place holders. As such, their values were off by a factor of 100. The issue has been addressed and the data for the year re-released

116 downloads + analyses
Last Released: Nov 3, 2017

Description RouteLogistics supplies users with access to a national rail network, a roads Look Up table displaying current and legacy information nationwide Points of Interest data, turn restrictions, speed limits, and identification of one-ways and many more forms of data intelligence. RouteLogistics supplies users with access to a national rail network, a roads look up table displaying current and legacy information, nationwide points of interest data, turn restrictions, speed limits, and identification of one-ways and many more forms of location data. This information is readily available in a Standard Data Compression for those applications that require it. Key features include: Significant Roads, Major Waterways, Local Streets, Exit Points, Nationwide Parks, Address Range Data, CanMap Rail, Building Footprints, Land Use, FSA Boundaries, Turn Restrictions, Speed Limits, Bridges and Tunnels.

Last Released: Oct 31, 2017

Location Hub Viewer is an easy-to-use web tool that allows you to visualize your customers, prospects, physical assets, and retail locations on a map. When combined with DMTI Spatial’s robust data offering, you can better manage risk, increase operational efficiency, identify new prospects, and improve business performance.

Data may be uploaded in the form of spreadsheets, which may then be cleaned by DMTI's algorithms. The enhanced data can then be downloaded. Extra information may include:

  • Cleaned address information
  • Postal code information
  • Latitude/longitude
  • Census geography information

Any data uploaded to the Location Hub Server using the supplied credentials will be visible to all using them. If you have sensitive data, delete your data after using Location Hub.

Last Released: Oct 27, 2017

The central objective of the Canadian Community Health Survey (CCHS) is to gather health-related data at the sub-provincial levels of geography (health region or combined health regions).

In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived.

The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level. The CCHS has the following objectives:

  • Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels;
  • Provide a single data source for health research on small populations and rare characteristics;
  • Timely release of information easily accessible to a diverse community of users;
  • Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population.

Since 2007, data for the Canadian Community Health Survey (CCHS) are collected yearly instead of every two years. While a sample of approximately 130,000 respondents were interviewed during the reference periods of 2001, 2003 and 2005, the sample size was changed to 65,000 respondents each year starting in 2007.

The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years can also be combined by users to examine populations or rare characteristics.

The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians . Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians.

404 downloads + analyses
Last Released: Oct 26, 2017
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