The gini index in Canada was forecast to remain on a similar level in 2029 as compared to 2024 with 0.33 points. According to this forecast, the gini will stay nearly the same over the forecast period. The Gini coefficient here measures the degree of income inequality on a scale from 0 (=total equality of incomes) to one (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the gini index in countries like United States and Mexico.

Statistics on income inequality based on the Gini index and the p90/p10 ratio on various household income concepts (market income, total income, after-tax income) for Canada, provinces and territories, census divisions and census subdivisions.

This statistic shows the share of total after-tax income earned by the lowest income decile in Canada in 2021, by province. In 2021, income earners in the lowest income decile earned 1.3 percent of all after-tax income in Saskatchewan, Canada.

This statistic shows the Gini coefficient of Canada from 2000 to 2021. In 2021, the Gini coefficient of Canada was 0.288.

Distribution of employment income of individuals by sex and work activity, Canada, provinces and selected census metropolitan areas, annual.

This statistic shows the income distribution of Canadians for 2020, distinguished by level of income. In 2020, about 302,050 Canadians had an income of 250,000 Canadian dollars or more.

This statistic shows the Gini coefficient of provinces in Canada in 2021. In 2021, the Gini coefficient of Ontario, Canada was 0.3, making it Canada's most inequitable province in terms of after-tax income.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in New Canada town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In New Canada town, the median income for all workers aged 15 years and older, regardless of work hours, was $52,250 for males and $27,500 for females.

These income figures highlight a substantial gender-based income gap in New Canada town. Women, regardless of work hours, earn 53 cents for each dollar earned by men. This significant gender pay gap, approximately 47%, underscores concerning gender-based income inequality in the town of New Canada town.

- Full-time workers, aged 15 years and older: In New Canada town, among full-time, year-round workers aged 15 years and older, males earned a median income of $63,125, while females earned $51,375, leading to a 19% gender pay gap among full-time workers. This illustrates that women earn 81 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in New Canada town.

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.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 by race. You can refer the same here

Gini coefficients of adjusted market, total and after-tax income, annual.

Historical dataset showing Canada income inequality - gini coefficient by year from N/A to N/A.

When surveyed in May 2021, nearly ********* of people living in Canada (** percent), whether or not they have a disability, had an annual household income of between ****** and 100,000 Canadian dollars before taxes. However, nearly *** in **** Canadians with disabilities earned less than ****** Canadian dollars a year, compared to *** in **** Canadians without disabilities. Meanwhile, ********* of Canadians without disabilities earned more than 100,000 Canadian dollars a year, compared to ** percent of people with disabilities.

Canada CA: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 31.700 % in 2019. This records a decrease from the previous number of 32.500 % for 2018. Canada CA: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 33.200 % from Dec 1971 (Median) to 2019, with 43 observations. The data reached an all-time high of 37.300 % in 1971 and a record low of 31.000 % in 1989. Canada CA: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Poverty and Inequality. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

This table contains 186 series (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Income quintile (6 items: All quintiles; Lowest income quintile; Second income quintile; Third income quintile; ...); Socio-demographic characteristics (31 items: All households; One-person households; Single less than 65 years; Single 65 years and older; ...).

This table contains 8840 series, with data for years 2012 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...); Low income lines (4 items: Low income cut-offs after tax, 1992 base; Low income cut-offs before tax, 1992 base; Market basket measure, 2011 base; Low income measure after tax); Statistics (5 items: Number of persons in low income; Percentage of persons in low income; Average gap ratio (percent); Median gap ratio (percent); ...); Persons in low income (34 items: All persons; Persons under 18 years; Persons 18 to 64 years; Persons 65 years and over; ...).

When surveyed in September 2022, over three-quarters of Canadians believed that the government should reduce the income gap between rich and poor. This opinion was more widely shared among Canadians supporting the New Democratic Party (** percent) and Bloc Québécois sympathizers (** percent), than among Conservative Party supporters (** percent) and among Canadians not supporting any particular party (** percent).

Canada CA: Income Share Held by Highest 20% data was reported at 39.100 % in 2019. This records a decrease from the previous number of 39.700 % for 2018. Canada CA: Income Share Held by Highest 20% data is updated yearly, averaging 40.100 % from Dec 1971 (Median) to 2019, with 43 observations. The data reached an all-time high of 43.000 % in 1971 and a record low of 38.300 % in 1989. Canada CA: Income Share Held by Highest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Poverty and Inequality. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

The data and programs replicating tables and figures from "Wealth of Two Nations: The U.S. Racial Wealth Gap, 1860-2020", by Derenoncourt, Kim, Kuhn, and Schularick are too large to host on the Harvard Dataverse. They are available for download here instead: https://hu.sharepoint.com/:f:/s/HarvardEconomicsDatasets/Eq4g3n5WstlBvdknSsAI_FYBVNFV2trgP1It-Wv0rb9G3w?e=axHfn0 They are also hosted by the authors on openICPSR: https://www.openicpsr.org/openicpsr/project/194203/version/V1/view Please see the ReadMe_DKKS_QJE_2023 file for additional details.

Graph and download economic data for Income Inequality in Canadian County, OK (2020RATIO040017) from 2010 to 2023 about Canadian County, OK; Oklahoma City; inequality; OK; income; and USA.

The 'Canada Per Capita Income' dataset offers a comprehensive collection of data showcasing the average income per person in Canada across numerous years. Its primary objective is to furnish valuable insights into the economic well-being and financial advancement of the Canadian populace. It serves as an invaluable resource for economists, researchers, policymakers, and analysts, facilitating the examination of income distribution trends, evaluation of the effects of economic policies, and the identification of wealth disparities.

The dataset draws its information from dependable and authoritative sources, primarily the official statistical agencies of the Canadian government, notably Statistics Canada. These agencies routinely gather and disseminate data on various economic indicators, including per capita income, through a variety of means such as surveys, censuses, and economic reports.

The motivation behind the creation of this dataset stems from the critical importance of per capita income as a fundamental metric for assessing a nation's standard of living and economic progress. By presenting historical data, this dataset empowers users to monitor Canada's economic journey, discern patterns of growth or decline, and delve into the factors influencing shifts in individual income levels. A thorough understanding of this dataset is crucial in shaping evidence-based policies that promote fair economic opportunities and overall prosperity for all members of the Canadian population.

In 2023, 25.5 percent of the Canadian population had an annual income of 100,000 Canadian dollars or more. Moreover, some 19 percent had an annual income between 60,000 and 79,999 Canadian dollars, representing the second-largest group.