For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset includes 18 tables which draw upon data from the 2006 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 16 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 14 for all census subdivisions (CSD) across Canada. The last two tables contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the variables within the Shelter Costs/Household Income dimension. Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many variables in the data order that we did not use that may be of value for others. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and variables: Geography: - Country of Canada, all CDs & Country as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. Universe: Full Universe: Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero. Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Variables: Housing indicators in Core Housing Universe (3) 1. Total - Private Households by core housing need status 2. Households examined for core housing need 3. Households in core housing need Tenure Including Presence of Mortgage and Subsidized Housing; Household size (11) 1. Total - Household tenure and mortgage status 2. Owners 3. With mortgage 4. Without mortgage 5. Renters 6. Total - Household size 7. 1 person 8. 2 persons 9. 3 persons 10. 4 persons 11. 5 or more persons Shelter costs groups/statistics (20) 1. Total – Private households by household income proportion to AMHI_1 2. Households with income 20% or under of area median household income (AMHI) 3. Households with income 21% to 50% of AMHI 4. Households with income 51% to 80% of AMHI 5. Households with income 81% to 120% of AMHI 6. Households with income 121% or over of AMHI 7. Total – Private households by household income proportion to AMHI_2 8. Households with income 30% and under of AMHI 9. Households with income 31% to 60% of AMHI 10. Households with income 61% or more of AMHI 11. Total – Private households by shelter cost proportion to AMHI_1 12. Households with shelter cost 0.5% and under of AMHI 13. Households with shelter cost 0.6% to 1.25% of AMHI 14. Households with shelter cost 1.26% to 2% of AMHI 15. Households with shelter cost 2.1% to 3% of AMHI 16. Households with shelter cost 3.1% or over of AMHI 17. Total – Private households by shelter cost proportion to AMHI_2 18. Households with shelter cost 0.75% or under of AMHI 19. Households with shelter cost 0.76% to 1.5% of AMHI 20. Households with shelter cost greater than or equal to 1.6% of AMHI Selected characteristics of the households (47) 1.Total - Household type 2. Census-family households 3. One-census-family households 4. Couple-family households 5. With children 6. Without children 7. Lone-parent-family households 8. Multiple-family households...

The 2021 Census Boundary Files depict the boundaries of all standard geographic areas established for the purpose of disseminating census data. They contain information such as unique identifier (UID), name and type where applicable, as well as land area and province or territory unique identifier (PRUID). Each boundary file can be linked to all higher level geographic areas using its DGUID and the new 2021 Dissemination Geographies Relationship File. They are available for download or viewing in two types: cartographic and digital. Both cartographic and digital boundary files are portrayed in Lambert conformal conic projection (North American Datum of 1983 [NAD83]). The purpose of the 2021 Census Boundary Files is to provide a framework for mapping and spatial analysis, and to support Geographic Information System (GIS) applications used for land use and demographic studies, or social, economic and market research. Geographic unique identifiers permit linkage of statistical data to geographic areas depicted in the boundary files. Boundary files can also be used to create new geographic areas by combining standard geographic areas. The boundary files are positionally consistent with the 2021 Road Network File, which provides additional reference for geographic context for mapping applications. Each 2021 Census Boundary File contains the UID, DGUID, name and type where applicable, and land area of the geographic level the file represents. It also contains the PRUID. A 2021 Census Boundary File is available for each of the following geographic areas: • Provinces and territories (PRs) • Census divisions (CDs) • Federal electoral districts (2013 Representation Order) (FEDs) • Census subdivisions (CSDs) • Designated places (DPLs) • Economic regions (ERs) • Census agricultural regions (CARs) • Census consolidated subdivisions (CCSs) • Census metropolitan areas and census agglomerations (CMA/CAs) • Census tracts (CTs) • Population centres (POPCTRs) • Dissemination areas (DAs) • Dissemination blocks (DBs) • Aggregate dissemination areas (ADAs) • Census Forward Sortation Areas© (CFSAs©) • Population Ecumene

Note: Data on gender diverse households (formerly "2SLGBTQ+" households) has been added as of March 28th, 2025. For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset contains 18 tables which draw upon data from the 2021 Canadian Census of Population. The tables are a custom order and contain data pertaining to core housing need and characteristics of households and dwellings. This custom order was placed in collaboration with Housing, Infrastructure and Communities Canada to fill data gaps in their Housing Needs Assessment Template. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The 18th table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada, all CDs & Country as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole *- Data on gender diverse households is only available for geographies (provinces, territories, CDs, CSDs) with a population count greater than 50,000. Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts greater than 10 are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Counts less than 10 are rounded to a base of 10, meaning they will be rounded to either 10 or Zero. Universe: Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero. Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Tenure Including Presence of Mortgage and Subsidized Housing; Household size (7) 1. Total - Private households by tenure including presence of mortgage payments and subsidized housing 2. Owner 3. With mortgage 4. Without mortgage 5. Renter 6. Subsidized housing 7. Not subsidized housing Housing indicators in Core Housing Universe (12) 1. Total - Private Households by core housing need status 2. Households examined for core housing need 3. Households in core...

Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Universe: Full Universe: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...

About this dataset

Context

The dataset presents median household incomes for various household sizes in New Canada, Maine, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, New Canada town did not include 6, or 7-person households. Across the different household sizes in New Canada town the mean income is $103,835, and the standard deviation is $59,699. The coefficient of variation (CV) is 57.49%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $16,552. It then further increased to $136,465 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/new-canada-me-median-household-income-by-household-size.jpeg" alt="New Canada, Maine median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

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

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 median household income. You can refer the same here

Data quality: Hamilton, City (C) Total non-response (TNR) rate, short-form census questionnaire: 2.5% Total non-response (TNR) rate, long-form census questionnaire: 3.5%Notes: 76: 'Citizenship' refers to the country where the person has citizenship. A person may have more than one citizenship. A person may be stateless that is they may have no citizenship. Citizenship can be by birth or naturalization.For more information on citizenship variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Place of Birth Generation Status Citizenship and Immigration Reference Guide Census of Population 2021. 77: 'Canadian citizens' includes persons who are citizens of Canada only and persons who are citizens of Canada and at least one other country. 78: 'Not Canadian citizens' includes persons who are not citizens of Canada. They may be citizens of one or more other countries. Persons who are stateless are included in this category. 79: 'Immigrant status' refers to whether the person is a non-immigrant an immigrant or a non-permanent resident.'Period of immigration' refers to the period in which the immigrant first obtained landed immigrant or permanent resident status. For more information on immigration variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Place of Birth Generation Status Citizenship and Immigration Reference Guide Census of Population 2021. 80: 'Non-immigrants' includes persons who are Canadian citizens by birth. 81: 'Immigrants' includes persons who are or who have ever been landed immigrants or permanent residents. Such persons have been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this category. In the 2021 Census of Population 'Immigrants' includes immigrants who were admitted to Canada on or prior to May 11 2021. 82: Includes immigrants who were admitted to Canada on or prior to May 11 2021. 83: 'Non-permanent residents' includes persons from another country with a usual place of residence in Canada and who have a work or study permit or who have claimed refugee status (asylum claimants). Family members living with work or study permit holders are also included unless these family members are already Canadian citizens landed immigrants or permanent residents. 84: 'Age at immigration' refers to the age at which an immigrant first obtained landed immigrant or permanent resident status.'Immigrants' includes persons who are or who have ever been landed immigrants or permanent residents. Such persons have been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this category. In the 2021 Census of Population 'Immigrants' includes immigrants who were admitted to Canada on or prior to May 11 2021. For more information on immigration variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Place of Birth Generation Status Citizenship and Immigration Reference Guide Census of Population 2021. 85: 'Immigrant' refers to a person who is or who has ever been a landed immigrant or permanent resident. Such a person has been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this group. In the 2021 Census of Population 'Immigrants' includes immigrants who were admitted to Canada on or prior to May 11 2021.The places of birth selected are the most frequently reported by immigrants at the Canada level. 'Place of birth' refers to the name of the geographic location where the person was born. The geographic location is specified according to geographic boundaries current at the time of data collection not the geographic boundaries at the time of birth. In the 2021 Census of Population the geographic location refers to a country or area of interest if the person was born outside Canada. For more information on the place of birth variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Place of Birth Generation Status Citizenship and Immigration Reference Guide Census of Population 2021. 86: Serbia excludes Kosovo. 87: The official name of United Kingdom is United Kingdom of Great Britain and Northern Ireland. United Kingdom includes Scotland Wales England and Northern Ireland (excludes Isle of Man the Channel Islands and British Overseas Territories). 88: The official name of Iran is Islamic Republic of Iran. 89: The official name of Syria is Syrian Arab Republic. 90: China excludes Hong Kong and Macao. 91: The full name of Hong Kong is the Hong Kong Special Administrative Region of China. 92: The official name of South Korea is Republic of Korea. 93: The category 'Oceania and other' includes places of birth in Oceania and responses not included elsewhere such as 'born at sea.' 94: 'Recent immigrant' refers to an immigrant who first obtained his or her landed immigrant or permanent resident status between January 1 2016 and May 11 2021.'Immigrant' refers to a person who is or who has ever been a landed immigrant or permanent resident. Such a person has been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this group. The places of birth selected are the most frequently reported by recent immigrants at the Canada level. 'Place of birth' refers to the name of the geographic location where the person was born. The geographic location is specified according to geographic boundaries current at the time of data collection not the geographic boundaries at the time of birth. In the 2021 Census of Population the geographic location refers to a country or area of interest if the person was born outside Canada. For more information on the place of birth variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Place of Birth Generation Status Citizenship and Immigration Reference Guide Census of Population 2021. 95: The official name of Venezuela is Bolivarian Republic of Venezuela. 96: Ireland is also referred to as Republic of Ireland. 97: The full name of Sudan is the Republic of the Sudan. 98: The category 'Other places of birth' includes other places of birth in Oceania and responses not included elsewhere such as 'born at sea.' 99: 'Generation status' refers to whether or not the person or the person's parents were born in Canada.For more information on generation status variables including information on their classifications the questions from which they are derived data quality and their comparability with other sources of data please refer to the Place of Birth Generation Status Citizenship and Immigration Reference Guide Census of Population 2021. 100: 'First generation' includes persons who were born outside Canada. For the most part these are people who are now or once were immigrants to Canada. 101: 'Second generation' includes persons who were born in Canada and had at least one parent born outside Canada. For the most part these are the children of immigrants. 102: 'Third generation or more' includes persons who were born in Canada with all parents born in Canada. 103: 'Admission category' refers to the name of the immigration program or group of programs under which an immigrant has been granted for the first time the right to live in Canada permanently by immigration authorities.'Applicant type' refers to whether an immigrant was identified as the principal applicant the spouse or the dependant on their application for permanent residence. 'Immigrant' refers to a person who is or who has ever been a landed immigrant or permanent resident. Such a person has been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this group. In the 2021 Census of Population data on admission category and applicant type are available for immigrants who were admitted to Canada between January 1 1980 and May 11 2021. For more information on immigration variables including information on their classifications data quality and their comparability with other sources of data please refer to the Place of Birth Generation Status Citizenship and Immigration Reference Guide Census of Population 2021. 104: 'Economic immigrants' includes immigrants who have been selected for their ability to contribute to Canada's economy through their ability to meet labour market needs to own and manage or to build a business to make a substantial investment to create their own employment or to meet specific provincial or territorial labour market needs. 105: 'Principal applicants' includes immigrants who were identified as the principal applicant on their application for permanent residence. 106: 'Secondary applicants' includes immigrants who were identified as the married spouse the common-law or conjugal partner or the dependant of the principal applicant on their application for permanent residence. 107: 'Immigrants sponsored by family' includes immigrants who were sponsored by a Canadian citizen or permanent resident and were granted permanent resident status on the basis of their

Abstract

Statistics Canada conducts the Census of Population in order to paint a statistical portrait of Canada and Canadians on one specific day. The census is designed to provide information about people and housing units in Canada by their demographic, social and economic characteristics.

The Census of Population is a reliable basis for the estimation of the population of the provinces, territories and municipal areas. These counts are essential for maintaining Canada’s equitable representation, as they are used to set electoral boundaries; estimate the demand for services in minority official languages; and calculate federal, provincial and territorial transfer payments.

The census also provides information about the characteristics of the population and its housing within small geographic areas and for small population groups to support planning, administration, policy development and evaluation activities of governments at all levels. The information provided by the census for these geographic areas and population groups is also used by the private sector as well as data users in their decision-making process.

In 2021, for the first time, immigrant status and year of immigration was obtained from administrative files provided by Immigration, Refugees and Citizenship Canada (IRCC). These data provide vital information to help understand the living conditions and socioeconomic outcomes of immigrants and their children in Canada.

Geographic coverage

Whole country

Analysis unit

Household and individual

Universe

The census enumerates the entire Canadian population, on a “usual residence” basis (de jure). The population enumerated consists of usual residents of Canada who are Canadian citizens (by birth or by naturalization), landed immigrants and non-permanent residents and their families living with them in Canada. Non-permanent residents are persons who hold a work or student permit, or who claim refugee status.

The census also counts Canadian citizens and landed immigrants who are temporarily outside the country on Census Day. This includes federal and provincial government employees working outside Canada, Canadian embassy staff posted to other countries, members of the Canadian Forces stationed abroad, all Canadian crew members of merchant vessels and their families. Because people outside the country are enumerated, the Census’ population concept is considered a “modified” de jure census.

Foreign residents such as representatives of a foreign government assigned to an embassy, high commission or other diplomatic mission in Canada, and residents of another country who are visiting Canada temporarily are not covered by the census.

Kind of data

Census/enumeration data [cen]

Sampling procedure

For the census long-form, a random sample of 1 in 4 private dwellings in Canada is selected systematically. The sample size was determined to ensure the dissemination of reliable estimates for small areas and small populations. The long-form sample is selected from the 2021 Census of Population dwelling list.

Mode of data collection

Other [oth]

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in New Canada, Maine, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 21,378, while the mean income for the highest quintile (20% of households with the highest income) is 175,530. This indicates that the top earners earn 8 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 303,570, which is 172.94% higher compared to the highest quintile, and 1420.01% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 median household income. You can refer the same here

IMPORTANT NOTICE This item has moved to a new organization and entered Mature Support on February 3rd, 2025. This item is scheduled to be Retired and removed from ArcGIS Online on June 27th, 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here A census metropolitan area (CMA) or a census agglomeration (CA) is formed by one or more adjacent municipalities centred on a population centre (known as the core). A CMA must have a total population of at least 100,000, based on data from the current Census of Population Program, of which 50,000 or more must live in the core based on adjusted data from the previous Census of Population Program. A CA must have a core population of at least 10,000 also based on data from the previous Census of Population Program. To be included in the CMA or CA, other adjacent municipalities must have a high degree of integration with the core, as measured by commuting flows derived from data on place of work from the previous Census Program.If the population of the core of a CA falls below 10,000, the CA is retired from the next census. However, once an area becomes a CMA, it is retained as a CMA even if its total population declines below 100,000 or the population of its core falls below 50,000. All areas inside the CMA or CA that are not population centres are rural areas. When a CA has a core of at least 50,000, based on data from the previous Census of Population, it is subdivided into census tracts. Census tracts are maintained for the CA even if the population of the core subsequently falls below 50,000. All CMAs are subdivided into census tracts.The CMA boundaries were obtained from the Statistics Canada website.

About this dataset

Context

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

Key observations

The largest age group in New Canada, Maine was for the group of age 10 to 14 years years with a population of 101 (23.43%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in New Canada, Maine was the 85 years and over years with a population of 1 (0.23%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 New Canada town is shown in this column.
• % of Total Population: This column displays the population of each age group 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 Age. You can refer the same here

This 90 minute session will cover data discovery and extraction via the CHASS Census Analyzer and basic GIS visualization. We will highlight the added value features of using CHASS compared to Statistics Canada Census Profiles. We will provide an overview of the steps involved in visualizing Census data in ArcGIS, including data elements and major processes. This session will also feature a critical discussion on visualizing Census data in GIS software, focusing on the technical expertise required to produce usable visualizations as well as the responsibility (and credit) for producing visualizations.

Participation rate in education, population aged 18 to 34, by age group and type of institution attended, Canada, provinces and territories. This table is included in Section E: Transitions and outcomes: Transitions to postsecondary education of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Little Canada. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Little Canada. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Little Canada, householders within the 45 to 64 years age group have the highest median household income at $90,843, followed by those in the 25 to 44 years age group with an income of $75,693. Meanwhile householders within the under 25 years age group report the second lowest median household income of $61,250. Notably, householders within the 65 years and over age group, had the lowest median household income at $52,125.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 median household income by age. You can refer the same here

This table contains 696 series, with data for years 1994 - 1998 (not all combinations necessarily have data for all years), and was last released on 2007-01-29. This table contains data described by the following dimensions (Not all combinations are available): Geography (29 items: Austria; Belgium (French speaking); Canada; Belgium (Flemish speaking) ...), Sex (2 items: Males; Females ...), Age groups (3 items: 11 years;15 years;13 years ...), Frequency (4 items: None; A little; a lot; Some ...).

Families of tax filers; Census families with children by age of children and children by age groups (final T1 Family File; T1FF).

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.

Here is a selection of map services from Statistics Canada displaying socio-economic variables as thematic maps, viewed by census division. This selection covers the following themes: families and households, housing, education, language, income, immigration, aboriginal people, age and transport. Census division (CD) is the general term for provincially legislated areas (such as county, municipalité régionale de comté and regional district) or their equivalents. In other provinces and the territories where laws do not provide for such areas, Statistics Canada defines equivalent areas for statistical reporting purposes in cooperation with these provinces and territories. Census divisions are intermediate geographic areas between the province/territory level and the municipality (census subdivision). NOTE: Services by theme may not all be listed in the Related Products section below as they are added individually only once available for publication.

This dataset contains the boundaries of all 3,302 Census Tracts (CT) in Canada for the 1981 Census.

Census tracts are small, relatively stable geographic areas that usually have a population of 2,500 to 8,000. They are located in census metropolitan areas and in census agglomerations with an urban core population of 50,000 or more from the previous census.

These files were digitized at the University of Toronto Map & Data Library to improve accuracy over the original 1981 CARTLIB files from Statistics Canada. They were digitized by tracing 2011 census tract polygons where boundaries have not changed, and using georeferenced Statistics Canada 1981 census tract maps where boundaries have changed. All maps were georeferenced using first order polynomial transformation. The digitized dataset contains CMAUID, CTNAME and CTUID fields containing the identifiers for each census metropolitan area and each census tract. These fields can be used to join associated tabular data.

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.

Youth not in education, employment or training by visible minority, selected sociodemographic characteristics and the census year: Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts (1)Frequency: OccasionalTable: 98-10-0648-01Release date: 2024-03-26Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census metropolitan area partUniverse: Persons in private households in occupied private dwellings, 2021 and 2016 censuses — 25% Sample dataVariable List: Visible minority (15), Gender (3a), Age (6), First official language spoken (5), Immigrant and generation status (7), Census year (2), Youth not in employment, education or training (1)List of abbreviations and acronyms found within various Census products.(https://www12.statcan.gc.ca/census-recensement/2021/ref/symb-ab-acr-eng.cfm)Footnotes:1 Historical comparison of geographic areas The boundaries and names of census geographies can change from one census to the next. In order to facilitate data comparisons between censuses, previous census data have been adjusted to reflect as closely as possible the 2021 boundaries of these areas. The methodology used for this adjustment involved spatially linking blocks of previous censuses (concordance to the 1996 Census used the 1996 enumeration areas to the 2021 boundaries). A previous census block was linked to the 2021 area within which its representative point fell. A limited number of interactive linkages were completed to further enhance the adjustment in certain areas. For some census geographies, it was not possible to reflect the 2021 boundaries. The 2021 boundaries may not be reflected as there was no previous census block to assign to the 2021 area. As well previous census data for some 2021 areas may not be available due to the fact that the concordance did not produce an accurate representation of the 2021 area.2 Gender Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender.3 Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol. The sex variable in census years prior to 2021 and the two-category gender variable in the 2021 Census are included together. Although sex and gender refer to two different concepts, the introduction of gender is not expected to have a significant impact on data analysis and historical comparability, given the small size of the transgender and non-binary populations. For additional information on changes of concepts over time, please consult the Age, Sex at Birth and Gender Reference Guide.4 Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date).5 First official language spoken refers to the first official language (English or French) spoken by the person.6 Immigrant status refers to whether the person is a non-immigrant, an immigrant or a non-permanent resident. Period of immigration refers to the period in which the immigrant first obtained landed immigrant or permanent resident status. For more information on immigration variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Place of Birth, Generation Status, Citizenship and Immigration Reference Guide, Census of Population, 2021.7 Generation status refers to whether or not the person or the person's parents were born in Canada.8 "Visible minority refers to whether a person is a visible minority or not, as defined by the Employment Equity Act. 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, Arab, Latin American, Southeast Asian, West Asian, Korean, and Japanese.9 For more information on language variables, including information on their classifications, the questions from which they are derived, data quality and their comparability with other sources of data, please refer to the Languages Reference Guide, Census of Population, 2021.10 Non-immigrants' includes persons who are Canadian citizens by birth.11 Immigrants' includes persons who are, or who have ever been, landed immigrants or permanent residents. Such persons have been granted the right to live in Canada permanently by immigration authorities. Immigrants who have obtained Canadian citizenship by naturalization are included in this category. In the 2021 Census of Population, 'Immigrants' includes immigrants who were admitted to Canada on or prior to May 11, 2021.12 Non-permanent residents' includes persons from another country with a usual place of residence in Canada and who have a work or study permit or who have claimed refugee status (asylum claimants). Family members living with work or study permit holders are also included, unless these family members are already Canadian citizens, landed immigrants or permanent residents.13 First generation' includes persons who were born outside Canada. For the most part, these are people who are now, or once were, immigrants to Canada.14 Second generation' includes persons who were born in Canada and had at least one parent born outside Canada. For the most part, these are the children of immigrants.15 "Refers to the proportion of youth aged 15 to 29 who were not in employment during the census reference week (in 2021, the reference week is May 2 to May 8) and who had not attended any accredited educational institution or program in the eight months preceding the census day (for example, in 2021 this period is between September 2020 and 11 May 2021). The Labor Force Survey (LFS) is the main data source for calculating national estimates of the youth not in employment, education, or training indicator, commonly known as NEET." This indicator is calculated using data from the first quarter or the average of the first three months of the calendar year which excludes summer employment. This LFS-based indicator is published on an annual basis and is used for international comparisons. The NEET indicator has regularly published by the Organization for Economic Cooperation and Development (OECD) since the late 1990s. However the census and other data sources such as social surveys like the Canadian Community Health Survey serve a different purpose. These data sources provide more specialized data that allowed deeper analysis of specific sociodemographic characteristics and conditions for a given population group which is a rich complement to understand the context and the factors behind the NEET estimates provided by the LFS. Although the Census of the Canadian population and the Labor Force Survey (LFS) measure similar concepts linked to labour market activities there are several fundamental differences between the characteristics of the two concept that measure the population of youth not in employment education or training. The most important of these differences is that in the LFS the reference period for school attendance and the reference period for employment are the same whereas in the Census they are different. Other differences between the census and the LFS include the length of the reference period the number of questions and their content the sample size the enumeration method and the coverage. For more information about the comparability of labour force status data from the Census of Population versus that of the LFS please consult the Appendix 2.11 from the Dictionary Census of Population 2021. which excludes summer employment. This LFS-based indicator is published on an annual basis and is used for international comparisons. The NEET indicator has regularly published by the Organization for Economic Cooperation and Development (OECD) since the late 1990s. However the census and other data sources such as social surveys like the Canadian Community Health Survey serve a different purpose. These data sources provide more specialized data that allowed deeper analysis of specific sociodemographic characteristics and conditions for a given population group which is a rich complement to understand the context and the factors behind the NEET estimates provided by the LFS. Although the Census of the Canadian population and the Labor Force Survey (LFS) measure similar concepts linked to labour market activities there are several fundamental differences between the characteristics of the two concept that measure the population of youth not in employment education or training. The most important of these differences is that in the LFS the reference period for school attendance and the reference period for employment are the same whereas in the Census they are different. Other differences between the census and the LFS include the length of the reference