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

Nunavut’s 26 000 inhabitants live in 28 communities widely scattered across 2 million square kilometres. All communities are accessible by air and by sea. The Inuit have occupied the region for thousands of years and form almost 85 percent of the current population. Their language, Inuktitut is spoken by 80 per cent of the population. Nunavut's society is the youngest in Canada, with half the population under 21.

Canada may be divided into six broad Aboriginal cultural areas based on major geographic regions. Tribes in the same region share a greater number of cultural affinities than tribes from different regions. However only in the Arctic do the lines of geography, language and culture coincide so closely. Nunavut’s boundary strongly reflects that of the cultural zone of the Aboriginal people of the Eastern Arctic. The Inuit are descendants of the Thule, who came from Asia and lived in the Arctic for thousands of years. Their language, Inuktitut, is spoken by most of the population.

Comprehensive demographic dataset for Nunavut, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Range map containing distribution information for the Harlequin Duck (Eastern Population) within Nunavut. This dataset contains the knownrange for where this species occurs within Nunavut and contains the presence and origin of the species.

Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). 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 as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada 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 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. Universe: Full Universe: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of 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 Need, regardless of their housing circumstances. Data Fields: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...

Across the Canadian North, Arctic Char, Salvelinus alpinus, are culturally important and critical for maintaining subsistence lifestyles and ensuring food security for Inuit. Arctic Char also support economic development initiatives in many Arctic communities through the establishment of coastal and inland commercial char fisheries. The Halokvik River, located near the community of Cambridge Bay, Nunavut, has supported a commercial fishery for anadromous Arctic Char since the late 1960s. The sustainable management of this fishery, however, remains challenging given the lack of biological data on Arctic Char from this system and the limited information on abundance and biomass needed for resolving sustainable rates of exploitation. In 2013 and 2014, we enumerated the upstream run of Arctic Char in this system using a weir normally used for commercial harvesting. Additionally, we measured fish length and used T-bar anchor tags to mark a subset of the run. Subsequently, we estimated population size using capture-mark-recapture (CMR) methods. The estimated number of Arctic Char differed substantially between years. In 2013, 1967 Arctic Char were enumerated whereas in 2014, 14,502 Arctic Char were enumerated. We attribute this marked difference primarily to differences in weir design between years. There was also no significant relationship between daily mean water temperature and number of Arctic Char counted per day in either year of the enumeration. The CMR population estimates of Arctic Char (those ≥450mm in length) for 2013 and 2014 were 35,546 (95% C.I 30,513-49,254) and 48,377 (95% C.I. 37,398-74,601) respectively. The 95% CI overlapped between years, suggesting that inter-annual differences may not be as extreme as what is suggested by the enumeration. The population estimates reported here are also the first estimates of population size for an Arctic Char stock in the Cambridge Bay region using CMR methodology. Overall, the results of this study will be valuable for understanding how population size may fluctuate over time in the region and for potentially providing advice on the sustainable rates of harvest for Halokvik River Arctic Char. Additionally, the results generated here may prove valuable for validating current stock assessment models that are being explored for estimating biomass and abundance for commercial stocks of Arctic Char in the region.

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...

The Inuit Regions, also known as the Inuit Nunangat, dataset contains the geographical boundaries of the 4 Inuit Regions in Canada: Inuvialuit, Nunavut, Nunavik and Nunatsiavut. The boundaries, land only, have been drawn as per information defined in each land claim agreement. The marine boundaries of the 4 Inuit Regions will soon be available. The Inuit Regions (Inuit Nunangat) geographical boundaries are approximate and should be used for illustration purposes only. This dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC) official source for Inuit regions on maps.

Data are available at: https://arcticdata.io/data/10.18739/A2K06X26P. This dataset provides the complete course curriculum for asynchronous/synchronous 8-week online course on the visualization of climate change in Arctic locations, namely Nunavut. The program was designed by collaboratively designed by Helen Roos from the ilinniapaa Skills Development Center (Iqaluit, Nunavut), Dr. Olaf Kuhlke of the University of Minnesota Duluth, and Dr. Alec C. Johnson from the University of St. Thomas, as well as local partner organizations including the West Baffin Eskimo Cooperative/Dorset Fine Arts. The program engaged high-school students and young adults in learning about two interrelated components: a) climate change evidence and visualization, utilizing and contributing to the Climate Visuals framework (https://climatevisuals.org/), and b) professional photography/videography. Students learned about existing evidence for climate change in different biomes across the globe, utilized the key principles of visualizing climate change, and practiced how to use photography and documentary filmmaking to collect evidence of climate change in their communities, ultimately creating professional photography and a documentary film that was included as part of the cultural program at the United Nations Framework Convention on Climate Change in Glasgow in November 2021, curated by the Center for Contemporary Arts in Glasgow, Scotland. This data set includes the curriculum content for Modules 4-7 of the course, which focuses on climate change visualization, photography skills development, and the production of documentary film. The files included are complete downloadable/uploadable Desire2Learn (D2L) Brightspace Learning Management System (LMS) archive, with instructions and assignments. The zipped file included here can be uploaded to Canvas and D2L Brightspace Learning Management Systems, for use in coursework by interested instructors. Separate datasets will include the documentary film produced as a result of this course, and the photography by students.

This map represents the proportion of the population under 15 years of age. There are a number of general patterns apparent on this map. The north has a higher proportion of youth than the south. The Aboriginal population in the north still exhibits what is termed a "young" population (consult the population pyramids for the Northwest Territories, Yukon and Nunavut). There are several regions in southern Canada that have a low proportion of youth. These tend to be in the agricultural regions of the country. Once the scale has been increased, notice the detailed pattern. The small centres in the Prairies have lower proportions of youth than the surrounding rural area.

Abstract

Well-functioning financial systems serve a vital purpose, offering savings, credit, payment, and risk management products to people with a wide range of needs. Yet until now little had been known about the global reach of the financial sector - the extent of financial inclusion and the degree to which such groups as the poor, women, and youth are excluded from formal financial systems. Systematic indicators of the use of different financial services had been lacking for most economies.

The Global Financial Inclusion (Global Findex) database provides such indicators. This database contains the first round of Global Findex indicators, measuring how adults in more than 140 economies save, borrow, make payments, and manage risk. The data set can be used to track the effects of financial inclusion policies globally and develop a deeper and more nuanced understanding of how people around the world manage their day-to-day finances. By making it possible to identify segments of the population excluded from the formal financial sector, the data can help policy makers prioritize reforms and design new policies.

Geographic coverage

The sample excludes Yukon, Northwest Territories, and Nunavut. The excluded area represents approximately 0.3% of the total adult population.

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Global Findex indicators are drawn from survey data collected by Gallup, Inc. over the 2011 calendar year, covering more than 150,000 adults in 148 economies and representing about 97 percent of the world's population. Since 2005, Gallup has surveyed adults annually around the world, using a uniform methodology and randomly selected, nationally representative samples. The second round of Global Findex indicators was collected in 2014 and is forthcoming in 2015. The set of indicators will be collected again in 2017.

Surveys were conducted face-to-face in economies where landline telephone penetration is less than 80 percent, or where face-to-face interviewing is customary. The first stage of sampling is the identification of primary sampling units, consisting of clusters of households. The primary sampling units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid.

Surveys were conducted by telephone in economies where landline telephone penetration is over 80 percent. The telephone surveys were conducted using random digit dialing or a nationally representative list of phone numbers. In selected countries where cell phone penetration is high, a dual sampling frame is used. Random respondent selection is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to teach a person in each household, spread over different days and times of year.

The sample size in Canada was 1,013 individuals.

Mode of data collection

Landline telephone

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup, Inc. also provided valuable input. The questionnaire was piloted in over 20 countries using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on insurance, mobile payments, and loan purposes were asked only in developing economies. The indicators on awareness and use of microfinance insitutions (MFIs) are not included in the public dataset. However, adults who report saving at an MFI are considered to have an account; this is reflected in the composite account indicator.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country- and indicator-specific standard errors, refer to the Annex and Country Table in Demirguc-Kunt, Asli and L. Klapper. 2012. "Measuring Financial Inclusion: The Global Findex." Policy Research Working Paper 6025, World Bank, Washington, D.C.

This data set contains interviews of three hunters from Sanikiliaq, Belcher Islands, in the territory of Nunavut, Canada. The hunters describe their observations of sea ice conditions around the Belcher Islands gathered from their many hunting expeditions. The local and traditional knowledge (LTK) gathered from these interviews reveals that the ice is changing and becoming more dangerous and less predictable than it once was.

In addition to the three video interviews, the hunters drew important ice features and changes on maps which are included as part of the data set. Photographs of ice conditions at specific places on the maps are available. Two of the three interviews are in English; the third is in Inuktitut and English.

Data are available via the Product Web Site as edited video files, maps, and photographs. Full video interviews, maps, and photographs are on ftp as a compressed file via the Access Data link.

This table contains mortality indicators by sex for Canada and all provinces except Prince Edward Island. These indicators are derived from the single-year complete life tables. Mortality indicators derived from three-year life tables are also available (table 13-10-0114). For Prince Edward Island, Yukon, the Northwest Territories and Nunavut, the population sizes are too small to allow the calculation of single-years life tables with sufficient accuracy, but mortality indicators derived from three-year abridged life tables are available (table 13-10-0140).

New satellite-derived observations of the cryosphere are being developed by Canadian scientists to contribute a snapshot of the current state of the cryosphere in northern Canada and to generate new information, data sets and monitoring capabilities for tundra and alpine snow cover, seasonal frozen ground, lake ice, albedo, land cover and phenology, snow melt characteristics over ice caps, sea ice fluxes through the Arctic islands, and river ice monitoring in northern Québec. Field campaigns are essential for these satellite retrieval activities, and to provide unique observations on characteristics of the cryosphere. Since April 2007, several field campaigns involving both ground-based surveys of snow cover, glaciers and ice caps, river ice and frozen ground characteristics and aircraft remote sensing have taken place across northern Canada (Yukon, NWT, northern Québec, Nunavut and Labrador). These field measurement data sets are an important Canadian contribution to the IPY "snapshot" by providing key information on the state of the cryosphere in northern Canada and an important baseline for assessing future changes. Many residents in northern Canada depend on frozen rivers and sea ice for transportation routes by snowmobile and sled in order to carry out traditional hunting and fishing activities. Outreach activities with northern communities are focussed on providing new information on current river ice and sea ice con ditions in their local area to assist residents in planning safe navigation routes. The development of specialized river ice and sea ice floe edge map products based on satellite radar images has been achieved through the integration of science and traditional knowledge.

National Historic Sites and their associated artefacts are preserved to promote an appreciation of historic places, people, and events and their contribution to the Canadian identity. There are eleven national historic sites in Nunavut. The first designated historic sites in Nunavut recognized European activities. More recently, the national historic sites have been designated to recognize sites important in aboriginal history.

Enrollment under an Inuit land claims agreement by residence inside or outside Inuit Nunangat, Indigenous identity, age and gender for the population in private households.