This statistic shows the estimated population of Saskatchewan, Canada from 2000 to 2023. In 2023, the estimated population of Saskatchewan was about **** million people. This is an increase from 2000, when there were about one million people living in Saskatchewan.

This statistic shows the population of Saskatchewan, Canada in 2023, by age and sex. In 2023, there were ******* females 65 years of age and over in Saskatchewan.

This statistic shows the population of Saskatchewan, Canada, over the age of ** in 2023, by highest level of education achieved. In 2023, about ******* people over the age of ** in Saskatchewan possessed a Bachelor's degree.

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

Chart and table of population level and growth rate for the Saskatoon, Canada metro area from 1950 to 2025.

This statistic shows the number of immigrants to Saskatchewan, Canada from 2000 to 2023. Between July 1, 2022 and June 30, 2023, there were 26,124 new immigrants to Saskatchewan.

Ages chart illustrates the age and gender trends across all age and gender groupings. A chart where the the covered area is primarily on the right describes a very young population while a chart where the the covered area is primarily on the left illustrates an aging population.

This table contains 13 series, with data for years 1926 - 1960 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...).

The aboriginal populations chart shows the composition of the aboriginal population in a municipality.

Overall, women outnumber men by 25 people. The 5 to 9 years old age cohort exhibits the largest discrepancy with a difference of 10 people between the sexes. Furthermore, majority of the population is between the ages 25 to 29 years old, comprising 9.24 per cent of the population.

This statistic shows the number of deaths in Saskatchewan, Canada from 2000 to 2023. Between July 1, 2022 and June 30, 2023, a total of 11,219 people died in Saskatchewan.

Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in Saskatchewan, 1998 to 2023.

SK: Total Population data was reported at 5,529.704 Person th in 2023. This records an increase from the previous number of 5,488.885 Person th for 2022. SK: Total Population data is updated yearly, averaging 5,397.338 Person th from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 5,529.704 Person th in 2023 and a record low of 5,283.000 Person th in 1991. SK: Total Population data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Slovakia – Table SK.OECD.MSTI: Population, Labour Force and Employment: OECD Member: Annual.

For the Slovak Republic, data before 1994 refer to the Research and Development Base (RDB) and cover the whole activity of institutions and not only R&D. Defence R&D was totally excluded until 1997 and only partially included thereafter.

Since 2002, a new budget classification compatible with COFOG enables the identification of government budget allocations for defence R&D. The defence category includes R&D allocations for defence, safety, and security of the country. For earlier years, defence R&D was included in the GBARD total.

Number of people belonging to a visible minority group as defined by the Employment Equity Act and, if so, the visible minority group to which the person belongs. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.' The visible minority population consists mainly of the following groups: South Asian, Chinese, Black, Filipino, Latin American, Arab, Southeast Asian, West Asian, Korean and Japanese.

This statistic shows the labor productivity in Saskatchewan, Canada in 2022, by industry. In 2022, the labor productivity in the manufacturing industry in Saskatchewan was 83.3 chained 2017 Canadian dollars added to the GDP per hour worked.

This statistic shows the liabilities of the Saskatchewan provincial government in 2022, by type of liability. In 2022, the provincial government of Saskatchewan had debt securities liabilities totaling around 28.4 billion Canadian dollars.

This statistic shows the number of jobs in Saskatchewan in 2022, by NAICS category. In 2022, there were 65,775 jobs in the retail trade industry in Saskatchewan.

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...

This statistic shows the labor force participation rate in Saskatchewan from 2000 to 2022. In 2022, the labor participation rate in Saskatchewan was 67.8 percent of all tax filers and dependents.

In 2022, 1.46 billion Canadian dollars was spent by the Saskatchewan government on social assistance benefits. The largest expense for the provincial government in that year were grants to general government units, totaling to about 9.1 billion Canadian dollars.