AndreaBozzo/ceres-open-data-index huggingface dataset:
Family Income Groups (22A) in Constant (2000) Dollars, Economic Family Structure (9) and Number of Earners (6A) for Economic Families in Private Households, for Canada, Provinces and Territories, 1995 and 2000 - 20% Sample Data

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Organization: Statistics Canada | Statistique Canada
Dwellings Occupied by Usual Residents (10) of Canada, Provinces, Territories, Census Metropolitan Areas and Census Agglomerations, 2006 Census - 100% Data

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Organization: Statistics Canada | Statistique Canada
Major Field of Study - Classification of Instructional Programs, 2000 (423), Age Groups (10A) and Sex (3) for the Population 15 Years and Over With University Certificates, Diplomas or Degrees of Canada, Provinces, Territories, Census Metropolitan Areas and Census Agglomerations, 2006 Census - 20% Sample Data

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Organization: Statistics Canada | Statistique Canada
Legal Marital Status (5), Age Groups (12A) and Sex (3) for Population 15 Years and Over Living in Common-law Unions, for Canada, Provinces, Territories, Census Metropolitan Areas and Census Agglomerations, 2001 Census - 100% Data

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Organization: Statistics Canada | Statistique Canada
Number of Children at Home (8) and Family Structure (7) for Census Families in Private Households, for Census Metropolitan Areas, Tracted Census Agglomerations and Census Tracts, 2001 Census - 20% Sample Data

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Organization: Statistics Canada | Statistique Canada
Census Profile - Age, Sex, Marital Status, Families, Households and Dwellings for Canada, Provinces, Territories and Federal Electoral Districts (2003 Representation Order), 2011 Census

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Organization: Statistics Canada | Statistique Canada
Employment Income Groups (23) in Constant (2005) Dollars, Work Activity in the Reference Year (3), Age Groups (9A) and Sex (3) for the Population 15 Years and Over of Canada, Provinces, Territories, Census Metropolitan Areas and Census Agglomerations, 2000 and 2005 - 20% Sample Data

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Organization: Statistics Canada | Statistique Canada
Census Profile - Age, Sex, Marital Status, Families, Households, Dwellings and Language for Canada, Provinces, Territories and Federal Electoral Districts (2003 Representation Order), 2011 Census

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Organization: Statistics Canada | Statistique Canada
Individual Tax Statistics by Area (ITSA) (Tax Year 2019)

Individual Tax Statistics by Area data present personal income tax data based on geographic area. The statistics are compiled by province and territory, as well as for all of Canada. The tables provide income and taxation statistics by specific geographic area, tax status classification, total income class, source of income class, and gender. The Individual Tax Statistics by Area publication for the 2019 tax year is comprised of four tables compiled from the Income Tax and Benefit Returns processed for the 2019 tax year. The dollar amount fields contain the most recent tax year assessment or reassessment information of all 2019 tax returns assessed up to June 30, 2021. Individual Tax Statistics by Area data are also published on the Canada Revenue Agency (CRA) website. Please consult the CRA website for an explanation of changes that have been incorporated to these tables.

Organization: Canada Revenue Agency | Agence du revenu du Canada
Individual Tax Statistics by Forward Sortation Area (FSA) − 2021 Edition (2019 tax year)

Individual Tax Statistics by Forward Sortation Area data present personal income tax data based on forward sortation areas. The statistics are compiled by province and territory, as well as for all of Canada. These data tables provide income statistics, Tax-Free Savings Account (TFSA) statistics, Goods and Services Tax/Harmonized Sales Tax (GST/HST) credit statistics, Child Care Benefit (CCB) statistics by specific geographic area, income range, source of income, age and sex for the 2019 tax year. Individual Tax Statistics by Forward Sortation Area data are also published on the Canada Revenue Agency (CRA) website. Please consult the CRA website for an explanation of changes that have been incorporated to these tables.

Organization: Canada Revenue Agency | Agence du revenu du Canada
Health Characteristics, Two-year Period Estimates

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. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years.  
  
  The primary use of the CCHS data is for health surveillance and population health research. The data presented here is by age group and sex, for Canada, provinces, territories and health regions (2017 boundaries).

Organization: Statistics Canada | Statistique Canada
Census division 2016

Group of neighbouring municipalities joined together for the purposes of regional planning and managing common services (such as police or ambulance services). These groupings are established under laws in effect in certain provinces of Canada. Census division (CD) is the general term for provincially legislated areas (such as county, municipalité régionale de comté and regional district) or their equivalents. In other provinces and the territories where laws do not provide for such areas, Statistics Canada defines equivalent areas for statistical reporting purposes in cooperation with these provinces and territories. Census divisions are intermediate geographic areas between the province/territory level and the municipality (census subdivision).  
  
  Census divisions (CD) have been established in provincial law to facilitate regional planning, as well as the provision of services that can be more effectively delivered on a scale larger than a municipality. In Newfoundland and Labrador, Manitoba, Saskatchewan, Alberta, Yukon, Northwest Territories and Nunavut, provincial or territorial law does not provide for these administrative geographic areas. Therefore, Statistics Canada, in cooperation with these provinces and territories, has created equivalent areas called CDs for the purpose of disseminating statistical data. In Yukon, the CD is equivalent to the entire territory.  
  
  Next to provinces and territories, census divisions (CD) are the most stable administrative geographic areas, and are therefore often used in longitudinal analysis.

Organization: Statistics Canada | Statistique Canada
Population in long-term care facilities, 2016 Census

Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis. The data provided here show the counts of the population in nursing homes and/or residences for senior citizens by broad age groups (0 to 79 years and 80 years and over) and sex, from the 2016 Census.  
  
  Nursing homes and/or residences for senior citizens are facilities for elderly residents that provide accommodations with health care services or personal support or assisted living care.  
  
  Health care services include professional health monitoring and skilled nursing care and supervision 24 hours a day, 7 days a week, for people who are not independent in most activities of daily living.  
  
  Support or assisted living care services include meals, housekeeping, laundry, medication supervision, assistance in bathing or dressing, etc., for people who are independent in most activities of daily living.  
  
  Included are nursing homes, residences for senior citizens, and facilities that are a mix of both a nursing home and a residence for senior citizens.  
  
  Excluded are facilities licensed as hospitals, and facilities that do not provide any services (which are considered private dwellings).

Organization: Statistics Canada | Statistique Canada
Province and territory 2016

'Province' and 'territory' refer to the major political units of Canada. From a statistical point of view, province and territory are basic areas for which data are tabulated. Canada is divided into 10 provinces and 3 territories.   
  
  Statistics Canada uses standard codes and abbreviations to represent provinces and territories. The two-digit code that uniquely identifies each province/territory is based on the Standard Geographical Classification (SGC). The code is assigned from east to west. The first digit represents the geographical region of Canada in which the province/territory is located and the second digit denotes one of the 10 provinces and 3 territories.

Organization: Statistics Canada | Statistique Canada
Population by broad age groups (50+) and sex, 2016 Census – 100% Data

Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis.The data provided here show the population counts and percentage distribution for various geographic levels by broad age groups, males, females and both sexes, from the 2016 Census.

Organization: Statistics Canada | Statistique Canada
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.

Organization: Statistics Canada | Statistique Canada
Daily snow cover fraction maps over Canada of the period of 2006-2010 from 1km resolution NOAA AVHRR imagery.

This dataset corresponds to daily snow cover percentage at 1km resolution grid over land areas of Canada from 2006-2010.  The data are subsampled by 4km to reduce data volumes and considering the geolocation uncertainty of the input satellite imagery. The daily maps are generated by assimilation of daily cloud screened NOAA AVHRR satellite imagery and Canadian Meteorological Centre (CMC) snow depth analysis snow depth and density fields within an off-line version of the CMC daily snow depth model.  The snow depth model is modified to include snowpack reflectance model and a surface radiative transfer scheme that relates vegetation and snowpack reflectance to top-of-canopy bi-directional reflectance.  A logistic vegetation phenology model is used to parameterize temporal dynamics of canopy leaf area index.  A per-pixel particle filter with a 30 day moving window is applied to assimilation observations corresponding to 1km resolution visible band directional reflectance and normalized difference vegetation index and 24km CMC daily snow depth and monthly snow density fields.  The assimilation is forced using daily air temperature and precipitation fields.  Validation of the datasets has been performed by comparison to MODIS snow cover maps and in-situ snow depth stations across Canada.  Validation suggests similar accuracy to MODIS snow cover products over relatively flat terrain.  Validation over mountainous regions is ongoing.

Organization: Natural Resources Canada | Ressources naturelles Canada
230 m agricultural mask from the Crop Condition Assessment Program (CCAP) - 2015

The following dataset correspond to the 230 m agricultural mask from Statistics Canada’s Crop Condition Assessment Program (CCAP). The mask have been generated from the classes 110 to 199 of the 2015 Agriculture and Agri-Food Canada’s landcover classification. The selection was then generalized to a spatial resolution of 230 m. The 2015 mask was used from the 2015 to the 2018 growing seasons inclusively.

Organization: Statistics Canada | Statistique Canada
Proximity measures database

Over the last year, Statistics Canada (StatCan) and Canada Mortgage and Housing Corporation (CMHC) have collaborated on the implementation of a set of proximity measures to services and amenities. CMHC funded this collaboration to generate data and analytical work in support of the National Housing Strategy.  
  
  The result of this collaboration is the first nation-wide Proximity Measures Database (PMD). This database is now available as an early release to meet urgent information needs of departments and other stakeholders across Canada who are dealing with the COVID-19 crisis. The current situation involving COVID-19 emphasizes the importance of having timely and accessible information available to the public at all levels of government. Proximity measures developed for this project are relevant to the current situation by providing a wealth of information (at the granular level) in terms of proximity to health facilities, pharmacies and other essential services/amenities that can be used to make rapid informed decisions at different geographical levels.  
  
  WARNING: This map contains detailed data which makes it heavy to load. To improve loading time, please uncheck the "Proximity measures" group from legend at loading, then load only the desired thematic.

Organization: Statistics Canada | Statistique Canada
Occupation - 2001 National Occupational Classification for Statistics (60), Age Groups (10) and Sex (3) for Labour Force 15 Years and Over, for Census Metropolitan Areas, Tracted Census Agglomerations and Census Tracts, 2001 Census - 20% Sample Data

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Organization: Statistics Canada | Statistique Canada
Historical and actual Crops Small Area Data (SAD) Regions

Small area data (SAD) on field crops show seeded and harvested area, yield and production estimates for most principal field crops and some special crops in Canada. Most SAD geographies correspond exactly with the Census Agriculture Region (CAR) limits, excepts for some regions of Quebec (where small areas are defined by provincial administrative boundaries), Saskatchewan (where small areas coincide with census divisions boundaries as of 2017) and British Columbia.  
  
  For exact correspondence between Census Agricultural Regions (CAR) and Small Area Data (SAD) Regions, see the following link:  
  
  https://www.statcan.gc.ca/eng/statistical-programs/document/3401_D2_V2  
  
  These regions are associated with Statistics Canada estimates on principal field crops available in the following table: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210000201

Organization: Statistics Canada | Statistique Canada
Open Database of Healthcare Facilities

The Open Database of Healthcare Facilities (ODHF) is a collection of open data containing the names, types, and locations of health facilities across Canada. It is released under the Open Government License - Canada.  
  
  The ODHF compiles open, publicly available, and directly-provided data on health facilities across Canada. Data sources include regional health authorities, provincial, territorial and municipal governments, and public health and professional healthcare bodies. This database aims to provide enhanced access to a harmonized listing of health facilities across Canada by making them available as open data. This database is a component of the Linkable Open Data Environment (LODE).

Organization: Statistics Canada | Statistique Canada
1 km agricultural mask from the Crop Condition Assessment Program (CCAP) - 2015

The following dataset correspond to the 1 km agricultural mask from Statistics Canada’s Crop Condition Assessment Program (CCAP). The mask have been generated from the classes 110 to 199 of the 2015 Agriculture and Agri-Food Canada’s landcover classification. The selection was then generalized to a spatial resolution of 1 km. The 2015 mask was used from the 2015 to the 2018 growing seasons inclusively.

Organization: Statistics Canada | Statistique Canada
Estimates 2022-23

Part I of the Estimates process is the Government Expenditure Plan. It provides a summary and highlights of year-over-year changes in departmental spending and transfer payments in order to provide perspective on the major issues influencing government planned spending. Part II is the Main Estimates, known traditionally as the “Blue Book.” It directly supports the appropriation acts for the Main Estimates. The publication provides a listing of the resources required by individual departments and agencies for the upcoming fiscal year in order to deliver the programs for which they are responsible. It identifies the spending authorities (votes) and the amounts to be included in subsequent appropriation bills that Parliament will be asked to approve to enable the government to proceed with its spending plans

Organization: Treasury Board of Canada Secretariat | Secrétariat du Conseil du Trésor du Canada
Supplementary Estimates (C) 2021-22

Supplementary Estimates are part of the normal parliamentary approval process to ensure that previously planned government initiatives receive the necessary funding to move them forward, therefore meeting the needs of Canadians. They present information to Parliament on the Government of Canada’s spending requirements that were not sufficiently developed in time for inclusion in the Main Estimates, and will from time to time include urgent but unforeseen expenditures, such as natural disasters (an ice storm, H1N1, etc.). Supplementary Estimates directly support an appropriation act. Supplementary Estimates are published throughout the year; each release is identified alphabetically (A, B, C, etc.). Supplementary Estimates (A) are tabled in May and the associated appropriation act is granted royal assent and becomes law in June. These provide federal organizations with the funding they need early in the year. Supplementary Estimates (B) are tabled in late October or early November and the associated appropriation act is granted royal assent in December. Supplementary Estimates (C) are tabled in February and the associated appropriation act is granted royal assent in March.

Organization: Treasury Board of Canada Secretariat | Secrétariat du Conseil du Trésor du Canada
Sediment Profile Imagery at Disposal at Sea Sites in British Columbia

Sediment profile imagery (SPI) (also known as REMOTS (Rhoads and Germano, 1982)) facilitates the assessment of the biophysical processes that occur in the benthic environment through the acquisition and analysis of high resolution images of vertical sections and surfaces of the seafloor. The SPI apparatus incorporates the use of a 12-megapixel Digital SLR camera to obtain in situ photographs of the first 20 cm of the seafloor. Because the sediment is not disturbed in the process, SPI photographs provide information on the physical and biological components of the seabed that is not readily available using traditional methods. From 2012 to 2019, 17 SPI datasets were acquired at 13 disposal at sea sites in British Columbia to monitor the environmental conditions of the sea floor. SPI & surface photographs, tabular data, and a geodatabase with attachments are provided in zipfolders for each study.

Organization: Environment and Climate Change Canada | Environnement et Changement climatique Canada
Earthquakes in Canada 2010-2019

Historical earthquakes recorded by Earthquakes Canada. This dataset contains the earthquakes recorded in decade 2010. However, the National Earthquake Database makes available seismic bulletin data from 1985 and onward. For a complete listing of current and historical earthquakes, visit https://www.earthquakescanada.nrcan.gc.ca/.

Organization: Natural Resources Canada | Ressources naturelles Canada
Earthquakes in Canada

Historical earthquakes recorded by Earthquakes Canada.  This serie is composed of 4 earthquake datasets. Each dataset contains the earthquakes grouped by decade; 1980-1989, 1990-1999, 2000-2009, 2010-2019. However, the National Earthquake Database makes available seismic bulletin data from 1985 and onward. For a complete listing of current and historical earthquakes, visit https://www.earthquakescanada.nrcan.gc.ca/.

Organization: Natural Resources Canada | Ressources naturelles Canada
Earthquakes in Canada 1990-1999

Historical earthquakes recorded by Earthquakes Canada. This dataset contains the earthquakes recorded in decade 1990. However, the National Earthquake Database makes available seismic bulletin data from 1985 and onward. For a complete listing of current and historical earthquakes, visit https://www.earthquakescanada.nrcan.gc.ca/.

Organization: Natural Resources Canada | Ressources naturelles Canada