Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.

Characteristics of the included Manitoba population from July 2016 to March 2021.

Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.

This statistic shows the expenses of the Manitoba provincial government in 2021, by type of expense. In 2021, 170 million Canadian dollars was spent by the Manitoba government on social security benefits.

Note: The data release is complete as of August 14th, 2023. 1. (Added April 4th) Canada and Census Divisions = Early April 2023 2. (Added May 1st) Ontario, British Columbia, and Alberta Census Subdivisions (CSDs) = Late April 2023 3a. (Added June 8th) Manitoba and Saskatchewan CSDs 3b. (Added June 12th) Quebec CSDs = June 12th 2023 4. (Added June 30th) Newfoundland and Labrador, Prince Edward Island, New Brunswick, and Nova Scotia CSDs = Early July 2023 5. (Added August 14th) Yukon, Northwest Territories, and Nunavut CSDs = Early August 2023. For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset contains 18 tables which draw upon data from the 2021 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The last table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension. Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many data fields in the data order that we did not use that may be of value for others. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada, all CDs & Country as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts greater than 10 are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Counts of 10 or less are rounded to a base of 10, meaning they will be rounded to either 10 or zero. Universe: Full Universe: Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero. Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing...

In 2021, roughly four billion Canadian dollars in revenue was collected by the Manitoba government through taxes on goods and services. A further 692 million Canadian dollars in revenue was collected through sales of goods and services in that year.

This statistic shows the distribution of the gross domestic product (GDP) of Manitoba, Canada, in 2021, by industry. In that year, the construction industry accounted for almost seven percent of the GDP of Manitoba.

Mesh Blocks are the smallest geographic areas defined by the ABS and form the building blocks for the larger regions of the Australian Statistical Geography Standard (ASGS). They broadly identify land use such as residential, commercial, primary production and parks. Statistical Area Level 1 (SA1s) are generally the smallest geographic unit used to release Census of Population and Housing data; however, for ASGS Edition 3, limited Census of Population and Housing data may also be available at the Mesh Block level.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 3Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 - Mesh BlocksFurther information: Australian Statistical Geography Standard (ASGS) Edition 3 - Main Structure and Greater Capital City Statistical AreasSource: Australian Bureau of Statistics (ABS)Made possible by the Digital Atlas of AustraliaThe Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas of Australia.Contact the Australian Bureau of StatisticsEmail geography@abs.gov.au if you have any questions or feedback about this web service.Subscribe to get updates on ABS web services and geospatial products.Privacy at the Australian Bureau of StatisticsRead how the ABS manages personal information - ABS privacy policy.

In 2022, the percentage of persons in low income for all persons in Manitoba was 15.7 percent. Between 1976 and 2022, the figure dropped by 1.1 percentage points, though the decline followed an uneven course rather than a steady trajectory.

This data set includes 1) customised geographies for 3047 settlements in Australia and their associated sociodemographic data as calculated from ABS data, and 2) detailed codes reflecting the legal protections for residential electricity customers across 12 selected indicators, which applied in each settlement in Australia on 1 July 2022. This data is best interpreted with the associated codebook, and the associated manuscript provides further details on the coding process.Geography identificationThe Australian Bureau of Statistics (ABS) Urban Centres and Localities (UCL) dataset identifies all settlements in Australia with populations of 200 or more people. There are also many smaller towns and settlements in Australia. To capture both large and small settlements, we developed a detailed settlement classification based on ABS’s smallest geographical units, Mesh Blocks (MBs), which cover the whole country without gaps or overlaps and which are intended to contain between 30 and 60 dwellings. Settlements have latitude and longitude of centre point included. We identified settlements using several steps:Estimated Residential Populations (ERP) at 30 June 2021 are imputed for every MB for the total population and the Indigenous population by progressively downscaling state/territory ERPs using Census counts tabulated at the SA4, SA3, SA2, SA1 and MB level.All MBs within a UCLs are allocated to that UCL.All remaining MBs classified by the ABS as being primarily used for residential purposes are grouped into clusters based on spatial contiguity.Clusters of MBs that are contiguous with a UCL are allocated to that UCL.Unallocated MB clusters are classified based on OpenStreetMap data. Specifically, a place name is allocated to a cluster of MBs if the MBs intersect an OpenStreetMap node with a “place” tag containing any of the values “city”, “town”, “village”, “hamlet” or “isolated_dwelling” and with a “name” tag.Unallocated MB clusters with a total ERP of 20 or less are excluded.Unallocated MB clusters that are within 10 km of a UCL are allocated to that UCL.Unallocated MB clusters that are within 10 km of a named OpenStreetMap place node (as above) are allocated to that place.Some outliers (e.g., prisons, a fracking field) were manually removed.Extensive manual checking against satellite photographs and other gazetteers was undertaken, especially of those MBs allocated to a settlement on the basis of distance to the closest named place. We manually added a number of named place nodes in OpenStreetMap based on a visual inspection of interim results.The exclusions column reflects 42 settlements (additional to the mapped 3047) for which names were identified but for which there is incomplete sociodemographic and policy data; we do not recommend using these settlements for analytical purposes.Sociodemographic data mapped to this settlement levelSEIFA indicators for the customised geographies, calculated as a population-weighted average of its constituent MBs. IRSAD, IRSD, IER, and IEO are included. See ABS for descriptions of these indicators.Remoteness as a dichotomous indicator (0 = 'Remote' or 'Very Remote'; 1 = ‘Major Cities’, ‘Inner Regional’, ‘Outer Regional’). Remoteness is determined from the ABS 2021 Remoteness Areas (see associated manuscript for further details).Estimated Resident Population (ERP).Percent of population that is Aboriginal or Torres Strait Islander People.Coding of legal protectionsData collection was completed during October 2021 to February 2023 and included review of 284 legal documents to identify protections in each settlement (reflected in respective "Agency, document" columns). Regulatory environment at the settlement level was cross-checked with review of over 800 further documents to ensure no exceptions were overlooked. Settlements were coded based on their legal protections up to and including 1 July 2022. Regulation undergoes frequent iteration, and there were many pending changes variously proposed, in draft form or in the process of introduction during our review. For example, one major change not captured by review is the transfer for responsibility for electricity services for 141 remote Aboriginal communities in WA (Remote Essential and Municipal Services communities) from the Department of Communities to the licensed utility Horizon Power (effective 1 April 2023). Document review focused on consumer focused electricity retail regulation (such as the National Energy Retail Law, NERL). Where categories of interest for electricity services fell within distributor remit as opposed to retailer remit (such as solar connections), we reviewed the appropriate documents associated with that level of electricity regulation (such as the National Electricity Rules (NER) made by the Australian Energy Market Commission (AEMC) under the NEL). Further details on the regulatory review process are included in the associated manuscript.We mapped twelve categories, separately recording prepay and post-pay customer protections where applicable. Separate coding of prepay and post-pay was undertaken due to the different types of legal protections afforded to customers for each of these payment types. The coding questions are as follows:Is the use of prepayment meters expressly prohibited by act, regulation, code, or licence condition?Are protections from disconnection due to non-payment required for life support customers pursuant to act, regulation, code or licence condition? (pre and post)Is the retailer required to have a family violence policy pursuant to act, regulation, code or licence condition? (pre and post)Is the retailer required to provide protections from disconnection/self-disconnection during an extreme weather event pursuant to act, regulation, code, or licence condition? (pre and post)Does an act, regulation, code or licence condition establish a guaranteed service level scheme which the distributor must adhere to regarding unplanned interruptions in the customer's electricity supply? (pre and post)What type of discretion does the regulation establish for customer right to connect residential solar?In the contract (such as a model standing offer) that a customer would refer to when connecting solar to a distribution network, are there clear eligibility criteria laid out under which the consumer could reasonably expect the distributor to approve a connection request for solar? (pre and post)Is the retailer required to report total numbers of customer disconnections for non‐payment (i.e., disconnections in the case of post-pay or so-called ‘self‐disconnections’ in the case of prepay) pursuant to act, regulation, code, or licence condition? (pre and post)Does an act, regulation, code, or licence condition require the retailer to have and publish customer complaints / dispute resolution procedures? (pre and post)Does an act, regulation, code, or licence condition require the retailer to be subject to an independent investigation and resolution process e.g., ombudsman scheme in relation to customer complaints / disputes? (pre and post)Does an act, regulation, code, or licence condition require the distributor to have and publish customer complaint / dispute resolution procedures? (pre and post)Does legislation, regulation, code, or licence condition require the distributor to be subject to an independent investigation and resolution process e.g., ombudsman scheme in relation to customer complaints / disputes? (pre and post)In addition to recording these protections, we also assessed:Do individual residential customers have a direct contractual relationship (e.g., a retail contract) with the utility?Is the settlement located within the National Electricity Market (NEM) (i.e., part of the interconnected network)?What category of NEM and consumer protections regime does the location belong to? (where the category is descriptive of the type of network (e.g., interconnected, isolated) and regulatory framework (e.g., NERL, local code) which applies for residential customers in each case).The Stata do file is included for ease of aggregating (changing) indicator assignment.

In 2022, the median employment income of tax filers in Manitoba increased by 1,210 dollars (+3.23 percent) since 2021. With 38,680 dollars, the median thereby reached its highest value in the observed period. Find further statistics regarding median employment income of tax filers (Northwest Territories), median employment income of tax filers (Alberta), and median employment income of tax filers (Nunavut).

In 2021, the total number of tax filers in Canada was equal to around 28.1 million individuals. This statistic breaks down this figure by province of residence of the tax filers. In 2021, about 10.8 million Ontarians filed an income tax return.

According to a survey carried out in Canada in June 2021, respondents from Quebec were the most likely to have a pet. Pet ownership was lowest in Saskatchewan and Manitoba, where ** percent of respondents stated that they had a pet.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

In Canada, the territory of Nunavut had the highest suicide rate among all Canadian provinces and territories in 2023. That year there were around 84 deaths from suicide in Nunavut per 100,000 population, compared to a rate of 4.5 per 100,000 population in British Columbia. This statistic shows the suicide death rate in Canada in 2023, by province or territory.

Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by Atlantic region, Central provinces, Western provinces, Indigenous population (First Nations or Métis) and Non-Indigenous population, sex, and age group, last 5 years.