Population is the sum of births plus in-migration, and it signifies the total market size possible in the area. This is an important metric for economic developers to measure their economic health and investment attraction. Businesses also use this as a metric for market size when evaluating startup, expansion or relocation decisions.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the Oshawa Township, Minnesota population pyramid, which represents the Oshawa township population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Oshawa township Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Oshawa township population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Oshawa township. The dataset can be utilized to understand the population distribution of Oshawa township by age. For example, using this dataset, we can identify the largest age group in Oshawa township.
Key observations
The largest age group in Oshawa Township, Minnesota was for the group of age 65 to 69 years years with a population of 75 (13.44%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Oshawa Township, Minnesota was the 85 years and over years with a population of 1 (0.18%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Oshawa township Population by Age. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Oshawa township by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Oshawa township. The dataset can be utilized to understand the population distribution of Oshawa township by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Oshawa township. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Oshawa township.
Key observations
Largest age group (population): Male # 65-69 years (37) | Female # 65-69 years (38). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Oshawa township Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Oshawa township population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Oshawa township across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Oshawa township was 577, a 1.37% decrease year-by-year from 2022. Previously, in 2022, Oshawa township population was 585, a decline of 1.02% compared to a population of 591 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Oshawa township increased by 105. In this period, the peak population was 593 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Oshawa township Population by Year. You can refer the same here
This is spatial data from the 2021 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada. This data contains thematic data about the 2021 population, including average age, for each of the Region’s census Dissemination Areas (DA).
This is spatial data from the 2021 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada.This spatial data is of Census Tract (CT) geography, for the Durham census division (CD). The column "CTUID" can be used to identify specific CT's and to link census tables, such as total population and dwellings.
This is spatial data from the 2021 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada. This data contains reports the total population for each of the Region’s lower-tier municipalities.
This is spatial data that combines population data from the 2021 Canadian Census of Population and the business counts from the Region's annual Business Directory, reported for each of the Region’s census Dissemination Areas (DA).
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.
https://www.durham.ca/en/regional-government/resources/Documents/OpenDataLicenceAgreement.pdfhttps://www.durham.ca/en/regional-government/resources/Documents/OpenDataLicenceAgreement.pdf
This is spatial data from the 2016 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada. This data contains reports the total population for each of the Region’s lower-tier municipalities.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Between 2001 and 2006, Canada’s population grew by 5.4%. Only two provinces, Alberta and Ontario and three territories registered growth rates above the national average. The three Maritime provinces (Prince Edward Island, Nova Scotia and New Brunswick) had the smallest population growth, while Newfoundland and Labrador and Saskatchewan experienced population declines. In 2006, about 21.5 million people, almost two-thirds of Canada’s population lived in 33 census metropolitan areas (CMAs). Between 2001 and 2006, the population of these CMAs climbed 6.9%, faster that the national average. Barrie registered the fastest population growth of any CMA (19.2%), followed by Calgary (13.4%), Oshawa (11.6%) and Edmonton (10.4%).
This is spatial data from the 2021 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada. This data contains thematic data about ethnicity of the enumerated female population, for each of the Region’s census Dissemination Areas (DA).
"This is spatial data from the 2021 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada.This spatial data is of census Dissemination Area (DA) geography, for the Durham census division (CD). The column "DAUID" can be used to identify specific DA's and to link census tables, such as total population and dwellings."
https://www.durham.ca/en/regional-government/resources/Documents/OpenDataLicenceAgreement.pdfhttps://www.durham.ca/en/regional-government/resources/Documents/OpenDataLicenceAgreement.pdf
This is spatial data from the 2016 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada. This data reports the 2011 population for each of the Region’s census Dissemination Areas (DA). The column 'DAUID' can be used to link and compare to related datasets, such as the 2016 population.
Statistics Canada publishes monthly labour force statistics for all Canadian Census Metropolitan Areas (CMAs) and provinces. In addition, the City of Toronto purchases a special run from Statistics Canada of Labour Force Survey (LFS) data for city of Toronto residents (i.e. separate from the rest of the Toronto CMA). LFS data are collected by place of residence, and therefore city of Toronto's "employment" represents "employed residents" and not "jobs" in the city of Toronto. There are more jobs in the city of Toronto than employed city of Toronto residents. In this LFS database, you will find 22 monthly tables and 28 annual tables. Most of the tables contain data for five geographies: city of Toronto, Toronto CMA, Toronto/Hamilton/Oshawa CMAs, Ontario and Canada ( see attachment Table of Contents below a full description ). LFS data in the IVT tables are not seasonally adjusted. Top level seasonally adjusted LFS data are available in our monthly Toronto Economic Bulletin on Open Data. LFS is based on a monthly sample of approximately 2,800 households in the Toronto CMA, about half of the sample is from the city of Toronto; therefore, estimates will vary from the results of a complete census. LFS follows a rotating panel sample design, in which households remain in the sample for six consecutive months. The total sample consists of six representative sub-samples of panels, and each month a panel is replaced after completing its six month stay in the survey. Outgoing households are replaced by households in the same or similar area. This results in a five-sixths month-to-month sample overlap, which makes the design efficient for estimating month-to-month changes. The rotation after six months prevents undue respondent burden for households that are selected for the survey ( see attachment Guide to the Labour Force Survey for more information). Upon reviewing the data, you will see that at least some cells in the IVT tables have been suppressed. For confidentiality reasons, Statistics Canada suppresses Labour Force Survey data for any cell that corresponds to less than 1,500 persons. At the beginning of 2015, Statistics Canada substantially changed the methodology used to produce LFS population estimates for the city of Toronto. These changes have resulted in large and inexplicable swings in population and related counts, which are not real. However, the unemployment and participation rates for city residents showed very little change in this revision. The red dots in the chart above represents Statistics Canada's Annual Demographics estimates for the populations of the city of Toronto, age 15 and over. These are only estimates, but they are generally accepted as the most accurate estimates for the city's population. (Source: https://www150.statcan.gc.ca/n1/pub/91-214-x/91-214-x2018000-eng.htm). The most recent Statistics Canada population estimate for the city of Toronto is for July 1, 2015; therefore, we have to use projections thereafter. There are several population projections for the city. The projection that EDC staff has chosen to use for rebasing city of Toronto LFS data is the Ontario Ministry of Finance Population Projections 2017-2041 and downloaded June, 2017 from http://www.fin.gov.on.ca/en/economy/demographics/projections/ Please see attachment Rebased Labour Force Survey for City of Toronto below for annual adjustment factors, monthly adjustment factors and an example of how to rebase the absolute numbers for the city of Toronto.
This table contains thematic data from the 2006 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada.This table represents population and age data by Census Tract (CT) geography, for the Durham census division (CD). It includes data on themes such as total population and age, broken down by male and female populations. The column "ProfileofCens" contains all individual CT identifying codes, and these codes may be used to link the data to an associated geography / GIS shape file.
This is spatial data from the 2021 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada. This data contains thematic data about ethnicity and visible minority status, for each of the Region’s census Dissemination Areas (DA).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Oshawa township by race. It includes the population of Oshawa township across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Oshawa township across relevant racial categories.
Key observations
The percent distribution of Oshawa township population by race (across all racial categories recognized by the U.S. Census Bureau): 95.88% are white, 2.51% are Asian and 1.61% are multiracial.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Oshawa township Population by Race & Ethnicity. You can refer the same here
This is spatial data from the 2021 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada. This data contains thematic data about education of the enumerated female population, for each of the Region’s census Dissemination Areas (DA).
Population is the sum of births plus in-migration, and it signifies the total market size possible in the area. This is an important metric for economic developers to measure their economic health and investment attraction. Businesses also use this as a metric for market size when evaluating startup, expansion or relocation decisions.