About this dataset

Context

The dataset tabulates the population of Canadian by race. It includes the population of Canadian across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Canadian across relevant racial categories.

Key observations

The percent distribution of Canadian population by race (across all racial categories recognized by the U.S. Census Bureau): 86.36% are white, 2.48% are American Indian and Alaska Native and 11.16% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Canadian
• Population: The population of the racial category (excluding ethnicity) in the Canadian is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Canadian total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Canadian Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of New Canada town by race. It includes the population of New Canada town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of New Canada town across relevant racial categories.

Key observations

The percent distribution of New Canada town population by race (across all racial categories recognized by the U.S. Census Bureau): 75.17% are white, 0.46% are Asian, 19.95% are some other race and 4.41% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the New Canada town
• Population: The population of the racial category (excluding ethnicity) in the New Canada town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New Canada town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Canada town Population by Race & Ethnicity. You can refer the same here

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

Data includes: board and school information, grade 3 and 6 EQAO student achievements for reading, writing and mathematics, and grade 9 mathematics EQAO and OSSLT. Data excludes private schools, Education and Community Partnership Programs (ECPP), summer, night and continuing education schools.

How Are We Protecting Privacy?

Results for OnSIS and Statistics Canada variables are suppressed based on school population size to better protect student privacy. In order to achieve this additional level of protection, the Ministry has used a methodology that randomly rounds a percentage either up or down depending on school enrolment. In order to protect privacy, the ministry does not publicly report on data when there are fewer than 10 individuals represented.

* Percentages depicted as 0 may not always be 0 values as in certain situations the values have been randomly rounded down or there are no reported results at a school for the respective indicator. * Percentages depicted as 100 are not always 100, in certain situations the values have been randomly rounded up.

The information in the School Information Finder is the most current available to the Ministry of Education at this time, as reported by schools, school boards, EQAO and Statistics Canada. The information is updated as frequently as possible.

This information is also available on the Ministry of Education's School Information Finder website by individual school.

Descriptions for some of the data types can be found in our glossary.

School/school board and school authority contact information are updated and maintained by school boards and may not be the most current version. For the most recent information please visit: https://data.ontario.ca/dataset/ontario-public-school-contact-information.

Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

Contained within the Atlas of Canada Poster Map Series, is a poster showing population density across Canada. There is a relief base to the map on top of which is shown all populated areas of Canada where the population density is great than 0.4 persons per square kilometer. This area is then divided into five colour classes of population density based on Statistics Canada's census divisions.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of New Canada town by race. It includes the distribution of the Non-Hispanic population of New Canada town across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of New Canada town across relevant racial categories.

Key observations

Of the Non-Hispanic population in New Canada town, the largest racial group is White alone with a population of 324 (97.89% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the New Canada town
• Population: The population of the racial category (for Non-Hispanic) in the New Canada town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New Canada town total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Canada town Population by Race & Ethnicity. You can refer the same here

The 1881 Canadian census database is a 100% sample of the 1881 Canadian census, including 4.3 million cases. Since this database covers the entire enumerated Canadian population in 1881, it is one of our most important resources for the study of social and economic organization during Canada 's formative period.

Presents socio-demographic information of York Region’s population and is aggregated from Statistics Canada’s Census data. For reference purposes, York Region data is compared to those of Ontario, Canada, the Greater Toronto Area and York Region local municipalities.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.

Data on visible minority by income, generation status, highest certificate, diploma or degree, age and gender for the population aged 15 years and over in private households in Canada, provinces and territories, census metropolitan areas, census agglomerations and parts.

Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, the yellow areas of highest density range from 30,000 to 150,000 persons per square kilometer. In those areas, if the people were spread out evenly across the area, there would be just 4 to 9 meters between them. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.This dataset is comprised of multiple sources. All of the demographic data are from Michael Bauer Research with the exception of the following countries:Australia: Esri Australia and MapData ServicesCanada: Esri Canada and EnvironicsFrance: Esri FranceGermany: Esri Germany and NexigaIndia: Esri India and IndicusJapan: Esri JapanSouth Korea: Esri Korea and OPENmateSpain: Esri España and AISUnited States: Esri Demographics

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Little Canada by race. It includes the distribution of the Non-Hispanic population of Little Canada across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Little Canada across relevant racial categories.

Key observations

Of the Non-Hispanic population in Little Canada, the largest racial group is White alone with a population of 6,571 (70.74% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Little Canada
• Population: The population of the racial category (for Non-Hispanic) in the Little Canada is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Little Canada total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Little Canada Population by Race & Ethnicity. You can refer the same here

This table contains 12960 series, with data for years 2000 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (15 items: Canada; Nova Scotia; Prince Edward Island; Newfoundland and Labrador ...), Age group (12 items: Total; 15 years and over;15-19 years;20-24 years;20-34 years ...), Sex (3 items: Both sexes; Females; Males ...), Patient satisfaction - hospital care (3 items: Received hospital care in past 12 months; Quality of hospital care received rated as excellent or good; Very or somewhat satisfied with hospital care received ...), Characteristics (8 items: Number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons; Low 95% confidence interval - number of persons ...).

This Alberta Official Statistic describes the proportion of population based on language spoken most often at home in each economic region as reported in the 2011 population census. Alberta is divided into eight economic regions as follows: Lethbridge – Medicine -Hat; Camrose-Drumheller; Calgary; Banff – Jasper – Rocky Mountain House; Red Deer; Edmonton; Athabasca – Grande Prairie – Peace River; and Wood Buffalo – Cold Lake.

BackgroundAccess equity has been raised as a fundamental concern with virtual care, both as it was used during the SARS-CoV-2 pandemic as well as its future applications within health systems. These concerns have not yet been substantiated with quantifiable data. We conducted a comparison of healthcare utilization and access across all dimensions of the Ontario Marginalization Index between virtual care and in-person care in the province of Ontario.MethodsWe conducted a retrospective observational study using ICES databases in the Province of Ontario between March 14, 2020, and March 13,2022. We identified all virtual and in-person visits using billing codes. All visits were linked to their individual postal dissemination area for which there was census data from the Ontario Marginalization Index. Dissemination areas were divided, according to their categorization within each marginalization dimension, and visit rates were calculated for both populations.ResultsA total of 93,363,194 visits were included as part of the final analysis. Significant differences in virtual healthcare utilization were noted between the most and least marginalized populations within each dimension. This effect was not observed by visits for in-person care. The only exception was that racialized, and newcomer populations had higher virtual care utilization among the most marginalized.InterpretationThis data is the first that uses a large retrospective dataset and seems to confirm concerns for access inequity among the most marginalized populations. These differences much be part of policy considerations for the future of virtual care use.

Employment income of visible minority groups by educational characteristics, for census divisions and large municipalities.

Boundaries identifying similar behavioural ecotypes and sub-populations of Grizzly bears. This dataset contains versions from multiple years. From 2018 on, NatureServe conservation concern ranking categories (e.g., Very Low, Low, Moderate, High, Extreme Concern) supersede the pre-2018 population status categories (e.g., Viable, Threatened, Extirpated) contained in the field STATUS. NatureServe conservation concern ranking categories reflect population size and trend, genetic and demographic isolation, as well as threats to bears and their habitats. The NatureServe conservation concern ranking fields are named CONSERVATION_CONCERN_RANK and CONSERVATION_CONCERN_DESC. Please view the attached PDF file for a summary of changes to this dataset from 2012 onward. To download only the 2018 units, in the link below, select the "Export" tab, then select the "Provincial Layer Download" button: https://maps.gov.bc.ca/ess/hm/imap4m/?catalogLayers=7744,7745 Grizzly Bear Conservation Ranking results table is available here: https://catalogue.data.gov.bc.ca/dataset/e08876a1-3f9c-46bf-b69a-3d88de1da725 Grizzly Bear population estimates from various years are available here: https://catalogue.data.gov.bc.ca/dataset/2bf91935-9158-4f77-9c2c-4310480e6c29 Grizzly Bear reports are available here: https://www2.gov.bc.ca/gov/content/environment/plants-animals-ecosystems/wildlife/wildlife-conservation/grizzly-bear

This dataset covers ballots 300-305, spanning January, March, April, June, August, and November 1963. The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 300 - January This Canadian Gallup poll seeks the views of Canadians on a number of politically rooted issues, including opinions toward politicians and political parties, and political ideas, such as medicare. The respondents were also asked questions so that they could be grouped according to geographic, demographic and social variables. The topics of interest include: American prestige in Canada; who would make the best premier for Ontario; car ownership; which country is the biggest threat to peace; the Conservative party; the development of Canada as a nation; federal elections; John Diefenbaker's potential successor; Lester B. Pearson's potential successor; the Liberal party; Medicare; the New Democratic party; political party word association; the propaganda war between the United States and Russia; product-brand name association; Robert Thompson; the Social Credit party; Tommy Douglas; union membership; and voting behaviour. Basic demographics variables are also included. 301 - March This Gallup poll seeks the opinions of Canadians on predominantly political issues, prior to an election. The questions aim to gather views on political leaders and parties, and Canadians' feelings towards several issues that are of importance to the election. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. The topics of interest include: Canadian forces having nuclear weapons; car ownership; defence policy; Diefenbaker's performance as Prime Minister; federal elections; frequency of being home during weekdays; major problems facing Canada; Pearson's performance as leader of the opposition; preferred political parties; preferred Prime Minister; union membership; and voting behaviour. Basic demographic variables are also included. 302 - April This Gallup poll aims to collect the opinions of Canadians on issues of a political nature. There are questions about voting patterns and interest, issues of national importance, including defence, the National Anthem and the Canadian Flag, and questions involving Canada and other nations. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. The topics of interest include: alcohol prohibition; Britain's status as a world power; Canada's dependency on the United States; Canadian national anthem; car ownership; defence policy; preferred designs for the Canadian flag; employment; English-French relations; federal elections; leaving school at the age of 16; strikes; union membership; and voting behaviour. Basic demographics variables are also included. 303 - June This Gallup poll seeks the opinions and views of Canadians on several leading topics of the day. The major issues discussed are all significant from a political perspective, as the questions often involve problems facing politicians, or are about opinions towards the political leaders and parties directly. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. The topics of interest include: whether Bingo games should be allowed to raise money in Canada; American investment in Canada; artists developing their talents in Canada; cigarette smoking; dating in highschool; Diefenbaker's performance as leader of the opposition; whether it is easy to get a divorce in Canada; federal elections; free trade with the United States; whether French Canadians are receiving full rights under Confederation; listening to shortwave radio; using government lotteries to help pay for social services; whether to legalize off-track betting; Pearson's performance as Prime Minister; unemployment predictions; union membership; and voting behaviour. Basic demographics variables are also included. 304 - August This Gallup poll aims to collect the opinions of Canadians on several leading topics of the day, including health related subjects, taxation, and other policies and government activities. Some questions have international significance, and deal with Britain, China, and the United Nations. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. The topics of interest include: predictions for Britain's next Prime Minister; Communist China in the United Nations; federal elections; higher wages for labour; housing of respondents; John Diefenbaker's chances of returning to power; Lester B. Pearson's performance as Prime Minister; pay raises for Members of Parliament; pay raises for senators; peace with Russia; whether the population of Canada should be larger; preventing the break up of Confederation; racism; Real Caouette's performance; smoking habits; tax increases; union membership; voting behaviour; and Walter Gordon's performance as Minister of Finance. Basic demographic variables are also included. 305 - November This Gallup poll seeks the opinions of Canadians on leading political issues of the day. The tone of the questions is entirely political, with major subjects including serious crimes, juvenile delinquency, bilingualism, and government. The respondents were also asked questions so that they could be grouped according to geographic, demographic, and social variables. The topics of interest include: ambitions for the next year; Commission on Bilingualism and Biculturalism; federal elections; farmers getting a fair deal from the provinces; increase in juvenile delinquency; Lester B. Pearson's performance as Prime Minister; Liberal government's performance; whether the minority government should try to avoid an election; official recognition of bilingualism; people working multiple jobs; relations with the United States; seriousness of various crimes; two party political system in Canada; union membership; and voting membership. Basic demographics variables are also included.The codebook for this dataset is available through the UBC Library catalogue, with call number HN110.Z9 P84.

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.