Historical dataset of population level and growth rate for the Edmonton, Canada metro area from 1950 to 2025.

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

About this dataset

Context

The dataset tabulates the Edmonton 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 Edmonton. The dataset can be utilized to understand the population distribution of Edmonton by age. For example, using this dataset, we can identify the largest age group in Edmonton.

Key observations

The largest age group in Edmonton, KY was for the group of age 5-9 years with a population of 180 (9.06%), according to the 2021 American Community Survey. At the same time, the smallest age group in Edmonton, KY was the 80-84 years with a population of 38 (1.91%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Edmonton is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Edmonton 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 Edmonton Population by Age. You can refer the same here

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 dataset provides population and sources of data for the City of Edmonton.

CoE refers to City of Edmonton as the source.

Please note:

*Estimate 1 General Annexation - January 1, 1982 2 Annexation of Jasper Place - August 17, 1964 3 Annexation of Beverly - December 30, 1961 4 Annexation of Calder - 1917 5 Annexation of Strathcona - February 1, 1912 and Annexation of North Edmonton - July 18, 1912 6 Population figures have been extrapolated for non-census years

About this dataset

Context

The dataset tabulates the Edmonton 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 Edmonton 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 Edmonton was 1,706, a 0.53% increase year-by-year from 2022. Previously, in 2022, Edmonton population was 1,697, an increase of 0.06% compared to a population of 1,696 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Edmonton increased by 100. In this period, the peak population was 1,706 in the year 2023. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Edmonton is shown in this column.
• Year on Year Change: This column displays the change in Edmonton population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Edmonton Population by Year. You can refer the same here

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

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.

All Census information is as of April 1, 2016. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 50 are not posted to protect the information collected. Responses are voluntary consequently response rates vary among questions, neighbourhoods and wards.

About this dataset

Context

The dataset tabulates the Edmonton population by age. The dataset can be utilized to understand the age distribution and demographics of Edmonton.

Content

The dataset constitues the following three datasets

• Edmonton, KY Age Group Population Dataset: A complete breakdown of Edmonton age demographics from 0 to 85 years, distributed across 18 age groups
• Edmonton, KY Age Cohorts Dataset: Children, Working Adults, and Seniors in Edmonton - Population and Percentage Analysis
• Edmonton, KY Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

Canada's largest metropolitan area is Toronto, in Ontario. In 2022. Over 6.6 million people were living in the Toronto metropolitan area. Montréal, in Quebec, followed with about 4.4 million inhabitants, while Vancouver, in Britsh Columbia, counted 2.8 million people as of 2022.

This Alberta Official Statistic provides the distribution of Alberta’s population within the 8 economic regions of Alberta for 2011. 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. The economic regions of Calgary and Edmonton account for the largest proportion (69.0%) of Alberta’s population. The remaining six economic regions each accounted for less than 10% of the population.

Presents detailed demographic and socio-economic information for the Provincial Electoral Division of Edmonton-North West for the 2023 provincial general election. Data have been specifically tabulated from the 2021 Census of Canada and include age, gender, marital status, household types and family structure, language, Indigenous identity, immigrant population, visible minorities, religion, mobility, dwelling characteristics, education, labour force activity and income. A map of the electoral division is included.

This service is available to all ArcGIS Online users with organizational accounts. For more information on this service, including the terms of use, visit us at http://goto.arcgisonline.com/landscape7/World_Population_Density_Estimate_2016.This layer is a global estimate of human population density for 2016. The advantage population density affords over raw counts is the ability to compare levels of persons per square kilometer anywhere in the world. Esri calculated density by converting the the World Population Estimate 2016 layer to polygons, then added an attribute for geodesic area, which allowed density to be derived, and that was converted back to raster. A population density raster is better to use for mapping and visualization than a raster of raw population counts because raster cells are square and do not account for area. For instance, compare a cell with 185 people in northern Quito, Ecuador, on the equator to a cell with 185 people in Edmonton, Canada at 53.5 degrees north latitude. This is difficult because the area of the cell in Edmonton is only 35.5% of the area of a cell in Quito. The cell in Edmonton represents a density of 9,810 persons per square kilometer, while the cell in Quito only represents a density of 3,485 persons per square kilometer. Dataset SummaryEach cell in this layer has an integer value with the estimated number of people per square kilometer likely to live in the geographic region represented by that cell. Esri additionally produced several additional layers: World Population Estimate 2016: this layer contains estimates of the count of people living within the the area represented by the cell. World Population Estimate Confidence 2016: the confidence level (1-5) per cell for the probability of people being located and estimated correctly. World Settlement Score 2016: the dasymetric likelihood surface used to create this layer by apportioning population from census polygons to the settlement score raster.To use this layer in analysis, there are several properties or geoprocessing environment settings that should be used:Coordinate system: WGS_1984. This service and its underlying data are WGS_1984. We do this because projecting population count data actually will change the populations due to resampling and either collapsing or splitting cells to fit into another coordinate system. Cell Size: 0.0013474728 degrees (approximately 150-meters) at the equator. No Data: -1Bit Depth: 32-bit signedThis layer has query, identify, pixel, and export image functions enabled, and is restricted to a maximum analysis size of 30,000 x 30,000 pixels - an area about the size of Africa.What can you do with this layer?This layer is primarily intended for cartography and visualization, but may also be useful for analysis, particularly for estimating where people living above specified densities. There are two processing templates defined for this layer: the default, "World Population Estimated 2016 Density Classes" uses a classification, described above, to show locations of levels of rural and urban populations, and should be used for cartography and visualization; and "None," which provides access to the unclassified density values, and should be used for analysis. The breaks for the classes are at the following levels of persons per square kilometer:100 - Rural (3.2% [0.7%] of all people live at this density or lower) 400 - Settled (13.3% [4.1%] of all people live at this density or lower)1,908 - Urban (59.4% [81.1%] of all people live at this density or higher)16,978 - Heavy Urban (13.0% [24.2%] of all people live at this density or higher)26,331 - Extreme Urban (7.8% [15.4%] of all people live at this density or higher) Values over 50,000 are likely to be erroneous due to spatial inaccuracies in source boundary dataNote the above class breaks were derived from Esri's 2015 estimate, which have been maintained for the sake of comparison. The 2015 percentages are in gray brackets []. The differences are mostly due to improvements in the model and source data. While improvements in the source data will continue, it is hoped the 2017 estimate will produce percentages that shift less.For analysis, Esri recommends using the Zonal Statistics tool or the Zonal Statistics to Table tool where you provide input zones as either polygons, or raster data, and the tool will summarize the average, highest, or lowest density within those zones.

This map features the World Population Density Estimate 2016 layer for the Caribbean region. The advantage population density affords over raw counts is the ability to compare levels of persons per square kilometer anywhere in the world. Esri calculated density by converting the the World Population Estimate 2016 layer to polygons, then added an attribute for geodesic area, which allowed density to be derived, and that was converted back to raster. A population density raster is better to use for mapping and visualization than a raster of raw population counts because raster cells are square and do not account for area. For instance, compare a cell with 185 people in northern Quito, Ecuador, on the equator to a cell with 185 people in Edmonton, Canada at 53.5 degrees north latitude. This is difficult because the area of the cell in Edmonton is only 35.5% of the area of a cell in Quito. The cell in Edmonton represents a density of 9,810 persons per square kilometer, while the cell in Quito only represents a density of 3,485 persons per square kilometer. Dataset SummaryEach cell in this layer has an integer value with the estimated number of people per square kilometer likely to live in the geographic region represented by that cell. Esri additionally produced several additional layers: World Population Estimate 2016: this layer contains estimates of the count of people living within the the area represented by the cell. World Population Estimate Confidence 2016: the confidence level (1-5) per cell for the probability of people being located and estimated correctly. World Settlement Score 2016: the dasymetric likelihood surface used to create this layer by apportioning population from census polygons to the settlement score raster.To use this layer in analysis, there are several properties or geoprocessing environment settings that should be used:Coordinate system: WGS_1984. This service and its underlying data are WGS_1984. We do this because projecting population count data actually will change the populations due to resampling and either collapsing or splitting cells to fit into another coordinate system. Cell Size: 0.0013474728 degrees (approximately 150-meters) at the equator. No Data: -1Bit Depth: 32-bit signedThis layer has query, identify, pixel, and export image functions enabled, and is restricted to a maximum analysis size of 30,000 x 30,000 pixels - an area about the size of Africa.Frye, C. et al., (2018). Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement. Data Science Journal. 17, p.20. DOI: https://doi.org/10.5334/dsj-2018-020.What can you do with this layer?This layer is primarily intended for cartography and visualization, but may also be useful for analysis, particularly for estimating where people living above specified densities. There are two processing templates defined for this layer: the default, "World Population Estimated 2016 Density Classes" uses a classification, described above, to show locations of levels of rural and urban populations, and should be used for cartography and visualization; and "None," which provides access to the unclassified density values, and should be used for analysis. The breaks for the classes are at the following levels of persons per square kilometer:100 - Rural (3.2% [0.7%] of all people live at this density or lower) 400 - Settled (13.3% [4.1%] of all people live at this density or lower)1,908 - Urban (59.4% [81.1%] of all people live at this density or higher)16,978 - Heavy Urban (13.0% [24.2%] of all people live at this density or higher)26,331 - Extreme Urban (7.8% [15.4%] of all people live at this density or higher) Values over 50,000 are likely to be erroneous due to spatial inaccuracies in source boundary dataNote the above class breaks were derived from Esri's 2015 estimate, which have been maintained for the sake of comparison. The 2015 percentages are in gray brackets []. The differences are mostly due to improvements in the model and source data. While improvements in the source data will continue, it is hoped the 2017 estimate will produce percentages that shift less.For analysis, Esri recommends using the Zonal Statistics tool or the Zonal Statistics to Table tool where you provide input zones as either polygons, or raster data, and the tool will summarize the average, highest, or lowest density within those zones.

Context

The files in this dataset are for Edmonton Neighbourhood Crime Stats and Population Figures. These files were merged and used to calculate crime rates for the various types of incidents.

Content

Both files were downloaded from the City of Edmonton Open Data Portal and estimated population figures were obtained from various independent sources for the missing years.

Acknowledgements

• Kaggle Learning
• City of Edmonton, Open Data Project

Inspiration

To analyze crime/policy data from the City of Edmonton to identify initiatives that have had success in reducing various crime rates. To also look at the culture/society of Edmonton to analyze if that contributes to increased/decreased crime rates.

About this dataset

Context

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

Key observations

The percent distribution of Edmonton population by race (across all racial categories recognized by the U.S. Census Bureau): 85.01% are white, 2.49% are Black or African American, 0.09% are American Indian and Alaska Native, 6.69% are some other race and 5.72% 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 Edmonton
• Population: The population of the racial category (excluding ethnicity) in the Edmonton is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Edmonton 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 Edmonton Population by Race & Ethnicity. You can refer the same here

Presents detailed demographic and socio-economic information for the Provincial Electoral Division of Edmonton-Beverly-Clareview for the 2023 provincial general election. Data have been specifically tabulated from the 2021 Census of Canada and include age, gender, marital status, household types and family structure, language, Indigenous identity, immigrant population, visible minorities, religion, mobility, dwelling characteristics, education, labour force activity and income. A map of the electoral division is included.

The Naming Committee approves names for municipal facilities, new neighbourhoods, parks and roads. Matthew Dance, a local geographer and open data advocate, created this dataset in conjunction with the City of Edmonton.

Indigenous people have lived in the Edmonton area for more than 10,000 years. Edmonton currently has an urban Indigenous population of over 50,000, the second-largest in Canada, and it is growing quickly. Reflecting this rich past and large population are over 100 place names in Edmonton with Indigenous roots. Many of the names are familiar, but not automatically associated with their Cree or Métis origins. This data set allows users to explore Edmonton by learning the Indigenous source of many of the place names found in our city, including streets, parks, neighbourhoods, walkways and more.

All Census information is as of April 1, 2014. Ages of residents are effective April 1, 2014. No data on any individual residence will be released. To protect the privacy of individuals, data is compiled and presented at the city, ward and neighbourhood level only. Neighbourhood results with a population under 49 are not posted to protect the information collected. The designation of “No Response” includes households from which no census data could be collected or only partial data was available. Bulk-count data from multiple-resident facilities (such as group homes, transient drop-in centres, residential hotels or criminal detention centres) may be limited when personal information cannot be obtained (i.e. information is not available or cannot be released by the facility administration).