Of the seven largest developed economies, in 2023, the United States had the highest average wage by a significant margin at over 77,000 U.S. dollars per year. Canada had the second highest annual average wages, followed by Germany. Meanwhile, Japan had the lowest average wages out of the seven largest developed economies.

Key information about Canada Monthly Earnings

• Canada Monthly Earnings stood at 3,624 USD in Dec 2024, compared with the previous figure of 3,680 USD in Nov 2024
• Canada Monthly Earnings data is updated monthly, available from Jan 1991 to Dec 2024, with an average number of 2,764 USD
• The data reached the an all-time high of 3,773 USD in Sep 2024 and a record low of 1,644 USD in Oct 1998

CEIC calculates Monthly Earnings from Average Weekly Earnings multiplied by 4 and converts it into USD. Statistics Canada provides Average Weekly Earnings in local currency based on NAICS 2022. Federal Reserve Board average market exchange rate is used for currency conversions. Monthly Earnings prior to January 2001 is based on NAICS 2017.


Further information about Canada Monthly Earnings

• In the latest reports, Canada Population reached 41 million people in Jun 2024
• Unemployment Rate of Canada dropped to 7 % in Jan 2025
• The country's Labour Force Participation Rate remained the same rate at 65 % in Jan 2025

Graph and download economic data for Estimate of Median Household Income for Canadian County, OK (MHIOK40017A052NCEN) from 1989 to 2023 about Canadian County, OK; Oklahoma City; OK; households; median; income; and USA.

Indexes of real expenditure per capita in the United States relative to those in Canada for categories of gross domestic income (GDI), Canada=100, on an International Comparison Project Classification (ICP) basis.

Graph and download economic data for Per Capita Personal Income in Canadian County, OK (PCPI40017) from 1969 to 2023 about Canadian County, OK; Oklahoma City; OK; personal income; per capita; personal; income; and USA.

This statistic shows the salaries of IT professionals in Canada, by province, in 2017. In Alberta, IT professionals had the highest mean salary in comparison to other provinces, earning **** thousand U.S. dollars on average.

The median total income in Canada increased by 1,440 dollars (+3.46 percent) in 2022. With 43,090 dollars, the median total income thereby reached its highest value in the observed period.

About this dataset

Context

The dataset illustrates the median household income in Canadian, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Canadian decreased by $22,912 (27.18%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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 Canadian median household income. You can refer the same here

Canada CA: GDP: USD: Gross National Income: Atlas Method data was reported at 2,167.054 USD bn in 2023. This records an increase from the previous number of 2,075.404 USD bn for 2022. Canada CA: GDP: USD: Gross National Income: Atlas Method data is updated yearly, averaging 606.697 USD bn from Dec 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 2,167.054 USD bn in 2023 and a record low of 44.354 USD bn in 1962. Canada CA: GDP: USD: Gross National Income: Atlas Method 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: Gross Domestic Product: Nominal. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.;World Bank national accounts data, and OECD National Accounts data files.;Gap-filled total;

United States Direct Investment Abroad: Income: Canada data was reported at 7.104 USD bn in Jun 2018. This records a decrease from the previous number of 7.480 USD bn for Mar 2018. United States Direct Investment Abroad: Income: Canada data is updated quarterly, averaging 1.416 USD bn from Mar 1960 (Median) to Jun 2018, with 234 observations. The data reached an all-time high of 9.575 USD bn in Dec 2011 and a record low of 54.000 USD mn in Mar 1960. United States Direct Investment Abroad: Income: Canada data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.O012: Direct Investment Abroad: by Country: Income.

Indexes of real expenditure per capita in the United States relative to those in Canada for categories of gross domestic income (GDI), Canada=100, on an International Comparison Project Classification (ICP) basis.

Estimate of Median Household Income for Canadian County, OK was 86539.00000 $ in January of 2023, according to the United States Federal Reserve. Historically, Estimate of Median Household Income for Canadian County, OK reached a record high of 86539.00000 in January of 2023 and a record low of 34070.00000 in January of 1989. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate of Median Household Income for Canadian County, OK - last updated from the United States Federal Reserve on July of 2025.

Quarterly series on labour productivity growth and related variables have been published for the first time on December 20th, 2000. These statistical series go back to the first quarter of 1981. The data are published two months after the reference quarter. The quarterly productivity measures are meant to assist in the analysis of the short-run relationship between the fluctuations of output, employment, compensation and hours worked. This measure is fully comparable with the United States quarterly measure. The quarterly estimations of this table are limited to the overall business sector. This aggregate excludes government and non-profit institutions expenditures on primary factors as well as the output of households (including the rental value of owner-occupied dwellings). Corresponding exclusions are also made to labour compensation and hours worked to make output and labour input data consistent with one another. The real output of the business sector is constructed using a Fisher-chained index, after excluding from GDP at market prices the real gross value added of the government sector, of the non-profit institutions and of households (including the rental value of owner-occupied dwellings). This approach is similar to that used for the quarterly productivity of the business sector in the United States. The estimate of the total number of jobs covers four main categories: employee jobs, work owner of an unincorporated business, own account self-employment, and unpaid family jobs. This last category is found mainly in sectors where family firms are important (agriculture and retail trade, in particular). Jobs data are consistent with the System of National Accounts. This is the quarterly average of hours worked for jobs in all categories. The number of hours worked in all jobs is the quarterly average for all jobs times the annual average hours worked in all jobs. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. Labour productivity is a measure of real gross domestic product (GDP) per hour worked. The ratio between total compensation for all jobs, and the number of hours worked. The term hourly compensation" is often used to refer to the total compensation per hour worked." This measures the cost of labour input required to produce one unit of output, and equals labour compensation in current dollars divided by the real output. It is often calculated as the ratio of labour compensation per hour worked and labour productivity. Unit labour cost increases when labour compensation per hour worked increases more rapidly than labour productivity. It is widely used to measure inflation pressures arising from wage growth. Unit non-labour payments are the non-labour payments associated with each unit of output of goods and services, and they are calculated as the non-labour payments divided by the real output. The implicit price deflator is equal to current-dollar output, divided by real output. The output measure is consistent with the Quarterly Income and Expenditure Accounts, prepared by the National Economic Accounts Division. Labor share is equal to the labour compensation divided by current dollar output. The output measure is consistent with the Quarterly Income and Expenditure Accounts, prepared by the National Economic Accounts Division. Current-dollar gross domestic product (GDP) in business sector equals current-dollar GDP in the economy less the gross value added of government, nonprofit institutions, households, and the rental of owner-occupied-dwellings. The output measure is consistent with the Quarterly Income and Expenditure Accounts. The total compensation for all jobs consists of all payments in cash or in kind made by domestic producers to workers for services rendered. It includes wages and salaries and employer's social contributions of employees, plus an imputed labour income for self-employed workers. Non-labour payments are the excess of current-dollar output in the business sector over corresponding labour compensation, and include non-labour costs as well as corporate profits and the profit-type income of proprietors. Non-labour costs include interest, depreciation, rent, and indirect business taxes. Unit labour cost in United States dollars is the equivalent of the ratio of Canadian unit labour cost to the exchange rate. This latter corresponds to the United States dollar value expressed in Canadian dollars.

About this dataset

Context

The dataset illustrates the median household income in New Canada town, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for New Canada town increased by $34,964 (76.57%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 6 years.

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 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

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

A dataset, 1970-2009, containing equivalently defined variables for the British Household Panel Study (BHPS), the Household Income and Labour Dynamics in Australia (HILDA), the Korea Labor and Income Panel Study (KLIPS) (new this year), the Panel Study of Income Dynamics (PSID), the Russia Longitudinal Monitoring Survey (RLMS-HSE) (new this year), the Swiss Household Panel (SHP), the Canadian Survey of Labour and Income Dynamics (SLID), and the German Socio-Economic Panel (SOEP). The data are designed to allow cross-national researchers not experienced in panel data analysis to access a simplified version of these panels, while providing experienced panel data users with guidelines for formulating equivalent variables across countries. The CNEF permit researchers to track yearly changes in the health and economic well-being of older people relative to younger people in the study countries. The equivalent file provides a set of constructed variables (for example pre- and post-government income and United States and international household equivalence weights) that are not directly available on the original surveys. Since the Cross-National Equivalent File 1970-2009 can be merged with the original surveys, PSID-CNEF users can easily incorporate these constructed variables into current analyses. The most recent release of the Equivalent File includes: * BHPS data from 1991 to 2005 on over 21,000 individuals and approximately 6,000 households. * GSOEP data from 1984 to 2007 on over 20,000 individuals and approximately 6,000 households in Germany. * HILDA data from 2001 to 2006 on over 19,000 individuals and 7,000 households. * PSID data from 1980 to 2005 on over 33,000 individuals and approximately 7,000 households. * SHP data from 1999 to 2006 on 12,900 individuals and 5,000 households. * SLID data from 1993 to 2006 on over 95,000 individuals and approximately 32,000 households. With one exception, the CNEF country data are available on CD-ROM from Cornell University for a fee. The Canadian SLID data are not distributed on the CD but are available to CNEF registered researchers through special arrangements with Statistics Canada. Complete instructions for obtaining CNEF data may be accessed on the project website. * Dates of Study: 1980-2007 * Study Features: International, Longitudinal * Sample Size: ** BHPS: 21,000+ ** PSID: 33,000+ ** SLID: 95,000+ ** GSOEP: 20,000+ ** HILDA: 19,000+ ** SHP: 12,900+ NACDA link: http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/00145/detail

Canada CA: GDP: USD: Gross National Income per Capita: Atlas Method data was reported at 54,040.000 USD in 2023. This records an increase from the previous number of 53,300.000 USD for 2022. Canada CA: GDP: USD: Gross National Income per Capita: Atlas Method data is updated yearly, averaging 20,870.000 USD from Dec 1962 (Median) to 2023, with 62 observations. The data reached an all-time high of 54,040.000 USD in 2023 and a record low of 2,380.000 USD in 1962. Canada CA: GDP: USD: Gross National Income per Capita: Atlas Method 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: Gross Domestic Product: Nominal. GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI, calculated in national currency, is usually converted to U.S. dollars at official exchange rates for comparisons across economies, although an alternative rate is used when the official exchange rate is judged to diverge by an exceptionally large margin from the rate actually applied in international transactions. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and through 2000, the G-5 countries (France, Germany, Japan, the United Kingdom, and the United States). From 2001, these countries include the Euro area, Japan, the United Kingdom, and the United States.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;

This table contains 67200 series, with data for years 1976 - 2011 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (35 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...); Sex (3 items: Both sexes; Males; Females); Age group (8 items: All age groups; Under 20 years; 20 to 24 years; 25 to 34 years; ...); Income recipient (4 items: Number of recipients; Aggregate income of recipients; Average income of recipients; Median income of recipients); Income source (20 items: Total income; Market income; Earnings; Wages, salaries and commissions; ...).

United States (FDI) Foreign Direct Investment: Income: Canada data was reported at 5.006 USD bn in Mar 2018. This records a decrease from the previous number of 5.276 USD bn for Dec 2017. United States (FDI) Foreign Direct Investment: Income: Canada data is updated quarterly, averaging 125.000 USD mn from Mar 1960 (Median) to Mar 2018, with 233 observations. The data reached an all-time high of 6.626 USD bn in Sep 2017 and a record low of -3.407 USD bn in Jun 2001. United States (FDI) Foreign Direct Investment: Income: Canada data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.O002: Foreign Direct Investment: By Country: Income.

Real expenditures by category of gross domestic income for the United States, converted annually with purchasing power parities (PPP), expressed in Canadian dollars and shown as a percentage of gross domestic income, Canada=100, on an International Comparison Project Classification (ICP) basis.

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.