AndreaBozzo/ceres-open-data-index huggingface dataset:
2021 Census: Population, Age, and Gender (CMA CSD)

This layer includes data from Statistics Canada 2021 Census of Population, including total population counts population change from previous census period, population breakdown by 5 years age groups and gender by census metropolitan area (CMA) and census subdivisions (CSD). For the first time, the 2021 census introduced the concept of gender, making the distinction between gender and sex at birth. Both concepts are different but interrelated, therefore Statistics Canada now uses ‘Male+’ and ‘Female+’ to capture this information gap. This allows all cisgender, transgender, and non-binary individuals the opportunity to report their gender. Moving forward ‘Gender’ will be Statistics Canada's default indicator, while also ensuring comparability with historical census data. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Indigenous Peoples (Electoral Districts)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on the Indigenous Identity population within the City of Kingston's Electoral Districts. Indigenous Identity data in this layer includes population age range breakdowns for Indigenous identity, single Indigenous identity responses, First Nations identity responses, Métis identity responses, Inuk (Inuit) identity responses, and multiple Indigenous identity responses. Indigenous Identity refers to those who reported they identify with the Indigenous peoples of Canada, including First Nations, Métis and/or Inuk(Inuit). Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Indigenous Peoples (CMA CSD)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on the Indigenous Identity population within the census metropolitan area (CMA) and census subdivisions (CSD) in the Kingston area. Indigenous Identity data in this layer includes population age range breakdowns for Indigenous identity, single Indigenous identity responses, First Nations identity responses, Métis identity responses, Inuk (Inuit) identity responses, and multiple Indigenous responses. Indigenous Identity refers to those who reported they identify with the Indigenous peoples of Canada, including First Nations, Métis and/or Inuk(Inuit). Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Housing, Households and Families (Neighbourhoods)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on Neighbourhoods in the City of Kingston. This summary highlights data based on indicators of Housing, Households and Families from the 2021 census of population. Housing indicators describe the phyical and financial characteristics of dwellings, Household indicators refer to the characteristics of the people occupying a dwelling and Family indicators outline family structures and the relationship between household members in the City of Kingston. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Income (Electoral Districts)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on the 12 unique Electoral Districts in the City of Kingston. This summary highlights after-tax income data which is a useful measure of disposable income that is available for use by individuals and households. For the 2016 and 2021 Census, income data for the Census of Population was gathered exclusively from the Canada Revenue Agency. For these years, the income data represents a 100% sample and uses actual tax data, while the previous long-form Censuses collected data from a 20% sample and used mostly self-reported income data. It is also important to note the impact of the COVID-19 pandemic in 2020 and the extent to which the introduction of pandemic relief benefits was an important component of income. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Housing, Households & Families (Electoral Districts)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on Electoral Districts in the City of Kingston. This summary highlights data based on indicators of Housing, Households and Families from the 2021 census of population. Housing indicators describe the phyical and financial characteristics of dwellings, Household indicators refer to the characteristics of the people occupying a dwelling and Family indicators outline family structures and the relationship between household members in the City of Kingston. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Education, Employment & Commuting (CMA CSD)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on census metropolitan area (CMA) and census subdivisions (CSD) in the Kingston area. This summary highlights data based on indicators of education, employment and commuting from the 2021 Census of Population. Education indicators refer to types of certificates and major fields of study; Employment indicators describe the characteristics of the labour force; and Commuting indicators outline the transportation variables for the employed workforce. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Education, Employment & Commuting (Neighbourhoods)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on the City of Kingston Neighbourhoods. This summary highlights data based on indicators of education, employment and commuting from the 2021 Census of Population. Education indicators refer to types of certificates and major fields of study; Employment indicators describe the characteristics of the labour force; and Commuting indicators outline the transportation variables for the employed workforce. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Education, Employment & Commuting (Electoral Districts)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on the City of Kingston Electoral Districts. This summary highlights data based on indicators of education, employment and commuting from the 2021 Census of Population. Education indicators refer to types of certificates and major fields of study; Employment indicators describe the characteristics of the labour force; and Commuting indicators outline the transportation variables for the employed workforce. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Income (Neighbourhoods)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on the 42 unique Neighbourhoods in the City of Kingston. This summary highlights after-tax income data which is a useful measure of disposable income that is available for use by individuals and households. For the 2016 and 2021 Census, income data for the Census of Population was gathered exclusively from the Canada Revenue Agency. For these years, the income data represents a 100% sample and uses actual tax data, while the previous long-form Censuses collected data from a 20% sample and used mostly self-reported income data. It is also important to note the impact of the COVID-19 pandemic in 2020 and the extent to which the introduction of pandemic relief benefits was an important component of income. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Income (CMA CSD)

This layer includes data from Statistics Canada 2021 Census of Population with a focus on census metropolitan area (CMA) and census subdivisions (CSD) in the Kingston area. This summary highlights after-tax income data which is a useful measure of disposable income that is available for use by individuals and households. For the 2016 and 2021 Census, income data for the Census of Population was gathered exclusively from the Canada Revenue Agency. For these years, the income data represents a 100% sample and uses actual tax data, while the previous long-form Censuses collected data from a 20% sample and used mostly self-reported income data. It is also important to note the impact of the COVID-19 pandemic in 2020 and the extent to which the introduction of pandemic relief benefits was an important component of income. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. Standard geography census profiles for the Kingston CMA and CSD geographies use information from both the short‑form (100% sample) and long‑form databases, depending on the variable. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Languages - Spoken at Home (CMA CSD)

This layer provides detailed data on languages spoken most often at home based on the 2021 Census of Population by Statistics Canada, focusing on Kingston Census Metropolitan Area (CMA) and associated Census Subdivisions (CSD), including the City of Kingston, South Frontenac, Loyalist, and Frontenac Islands. This summary highlights total population counts for individual languages spoken most often at home, which refers to the language the individual speaks most often at home or is most comfortable with. A person can report more than one language if they are spoken equally. Standard geography census profiles for the Kingston CMA and CSD geographies use data from both the short‑form (100% sample) and long‑form databases, depending on the variable. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Languages - Spoken at Home (Neighbourhoods)

This layer provides detailed data on languages spoken most often at home based on the 2021 Census of Population by Statistics Canada, focusing on the City of Kingston Neighbourhoods. This summary highlights total population counts for individual languages spoken most often at home, which refers to the language the individual speaks most often at home or is most comfortable with. A person can report more than one language if they are spoken equally. Standard geography census profiles for the Kingston CMA and CSD geographies use data from both the short‑form (100% sample) and long‑form databases, depending on the variable. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Languages - Spoken at Home (Electoral Districts)

This layer provides detailed data on languages spoken most often at home based on the 2021 Census of Population by Statistics Canada, focusing on the City of Kingston Electoral Districts. This summary highlights total population counts for individual languages spoken most often at home, which refers to the language the individual speaks most often at home or is most comfortable with. A person can report more than one language if they are spoken equally. Standard geography census profiles for the Kingston CMA and CSD geographies use data from both the short‑form (100% sample) and long‑form databases, depending on the variable. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]
2021 Census: Languages - Mother Tongue (Neighbourhoods)

This layer provides detailed data on mother tongue languages based on the 2021 Census of Population by Statistics Canada, focusing on the City of Kingston neighbourhoods. This summary highlights population counts for total mother tongue speakers, which refers to the first language learned at home in childhood and is still understood. Standard geography census profiles for the Kingston CMA and CSD geographies use data from both the short‑form (100% sample) and long‑form databases, depending on the variable. Custom geography census profiles, including Electoral Districts and Neighbourhood‑level profiles, are created entirely from the long‑form (25% sample) census database. To protect respondent confidentiality, all Census data is processed using Statistics Canada’s Random Rounding method. This technique randomly adjusts numbers up or down to the nearest 0 or 5, helping ensure privacy while keeping overall results as accurate and unbiased as possible. Because of these differences in data sources and rounding methods, users may notice that some counts do not align perfectly across variables or geographic levels. More information on definitions and background for the Census of Population can be found here: [https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/index-eng.cfm]