Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Wages in Sweden increased to 203.60 SEK/Hour in April from 202 SEK/Hour in March of 2025. This dataset provides - Sweden Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

Wages in Taiwan increased to 61902 TWD/Month in May from 55486 TWD/Month in April of 2025. This dataset provides - Taiwan Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

As of 2023, the average annual wage of Germany was 48,301 euros per year, a growth of almost 6,000 Euros when compared with 2000. From 2000 until 2007, wages rose by less than a thousand euros, with wage growth accelerating mainly in the period after 2010. Comparisons with rest of the EU Within the European Union Luxembourg had an average annual salary of almost 80 thousand Euros, with Germany having an annual salary comparable to other large European Countries, such as the United Kingdom and France. In neighboring Poland, the average annual salary was just over 39 thousand U.S dollars, meaning that German’s earned, on average, 20 percent more than what their Polish counterparts did. German economy slowing in 2023 While Germany initially had one of the strongest recoveries from the 2008 financial crash and as of 2020 had the largest economy in Europe its economy has started to slow in recent years. For 2023 the German economy is contracted by 0.26 percent, and while 2024 marked a slight improvement, the expectations are that 2025 remains a year of slow growth.

Pakistan Average Monthly Wages data was reported at 24,028.000 PKR in 2021. This records an increase from the previous number of 21,326.000 PKR for 2019. Pakistan Average Monthly Wages data is updated yearly, averaging 12,636.500 PKR from Jun 2008 (Median) to 2021, with 10 observations. The data reached an all-time high of 24,028.000 PKR in 2021 and a record low of 6,612.000 PKR in 2008. Pakistan Average Monthly Wages data remains active status in CEIC and is reported by Pakistan Bureau of Statistics. The data is categorized under Global Database’s Pakistan – Table PK.G004: Average Monthly Wages: by Industry. No data for 2016-2017 as per source. Labour Force Survey has not been conducted for these two years due to Population Census.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

This dataset computes the Benefit Cost Rate and Average Tax Rate based on total wages. UI benefits and contributions are divided by total wages in order to control for employment and wage growth. For example, the highest benefit payout was $772 million in 2009. However, 2009 was the third highest payout when controlled for wage growth. Both 1982 and 1983 had higher Benefit Cost Rates. The highest Benefit Cost Rate was 2.63% in 1982. The highest Average Tax Rate based on total wages was 1.89% in 1985. The lowest Benefit Cost Rate was 0.53% in 1998. The lowest Average Tax Rate based on total wages was 0.49% in 1988. Data excludes reimbursable employers. (Time period: 1980-2018).

This table contains 22 series, with data for years 1926 - 1960 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Nova Scotia; Prince Edward Island ...), Wages and salaries (2 items: Based on Standard Industrial Classification; 1948 (SIC); Based on Standard Industrial Classification; 1980 (SIC) ...).

Wages in Japan decreased to 335164 JPY/Month in May from 338252 JPY/Month in April of 2025. This dataset provides - Japan Average Monthly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

VITAL SIGNS INDICATOR
Income (EC4)

FULL MEASURE NAME
Household income by place of residence

LAST UPDATED
January 2023

DESCRIPTION
Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

DATA SOURCE
U.S. Census Bureau: Decennial Census - https://nhgis.org
Count 4Pb (1970)
Form STF3 (1980-1990)
Form SF3a (2000)

U.S. Census Bureau: American Community Survey - https://data.census.gov/
Form B19001 (2005-2021; household income by place of residence)
Form B19013 (2005-2021; median household income by place of residence)
Form B08521 (2005-2021; median worker earnings by place of employment)

Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
1970-2021

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Income derived from the decennial Census data reflects the income earned in the prior calendar year, whereas income derived from the American Community Survey (ACS) data reflects the prior 12 month period; note that this inconsistency has a minor effect on historical comparisons (see Income and Earnings Data section of the ACS General Handbook - https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020_ch09.pdf). ACS 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

Quintile income for 1970-2000 is imputed from decennial Census data using methodology from the California Department of Finance. Bay Area income is the population weighted average of county-level income.

Income has been inflated using the Consumer Price Index (CPI) for 2021 specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data uses national CPI for 1970. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

This table contains 33 series, with data for years 1983 - 2000 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Unit of measure (1 items: Index ...), Geography (13 items: Canada;Prince Edward Island;Nova Scotia;Newfoundland and Labrador ...), Standard Industrial Classification, 1980 (SIC) (21 items: Logging and forestry industries;Mining (including milling); quarrying and oil well industries;Goods producing industries;Industrial aggregate excluding unclassified establishments ...), Fixed weighted index, average hourly earnings (1 items: Fixed weighted index; average hourly earnings ...), Type of employee (1 items: All employees ...).

We estimate the union premium for young men over a period of declining unionization (1980-87) through a procedure which identifies the alternative sources of the endogeneity of union status. While we estimate the average increase in wages resulting from union employment to be in excess of 20% we find that the return to unobserved heterogeneity operating through union status is substantial and that the union premium is highly variable. We also find that the premium is sensitive to the form of sorting allowed in estimation. Moreover, the data are consistent with comparative advantage sorting. Our results suggest that the unobserved heterogeneity which positively contributes to the likelihood of union membership is associated with higher wages. We are unable, however, to determine whether this is due to the ability of these workers to extract monopoly rents or whether it reflects the more demanding hiring standards of employers faced by union wages.

This table contains 9891 series, with data for years 1983 - 2000 (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: Newfoundland and Labrador; Canada; Nova Scotia; Prince Edward Island ...), Overtime (2 items: Including overtime; Excluding overtime ...), Estimates (2 items: Average weekly hours; Average hourly earnings ...), Standard Industrial Classification, 1980 (SIC) (283 items: Industrial aggregate excluding unclassified establishments; Logging and forestry industries; Logging industry; Goods producing industries ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted ...).

This map shows female median income for the female population 15 years of age and over reporting income in 1995 (not including institutional residents). The distribution of incomes above the national female median of $14 508 were most prominent in Vancouver, Calgary, Toronto, Ottawa-Hull, Montréal, and Quebec. Based on the 1996 Census, the number of women reporting income has steadily increased over the years. In 1995, women represented nearly half of all income recipients, compared with 17% in 1990. However, women still represented the majority of workers in the 25 lowest paying occupations. Women had on average increased their purchasing power by 5% between 1980 and 1985, with an additional 12% gain over men between 1985 and 1990.

This table contains 9891 series, with data for years 1983 - 2000 (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: Newfoundland and Labrador; Canada; Nova Scotia; Prince Edward Island ...), Overtime (2 items: Including overtime; Excluding overtime ...), Estimates (2 items: Average weekly hours; Average hourly earnings ...), Standard Industrial Classification, 1980 (SIC) (283 items: Industrial aggregate excluding unclassified establishments; Logging and forestry industries; Logging industry; Goods producing industries ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted ...).

The ongoing Consumer Expenditure Survey (CES) provides detailed information on income and expenditures and also furnishes the Bureau of Labor Statistics with data needed to maintain and review the Consumer Price Index. The quarterly Interview Survey component of the CES was designed to gather data on major items of expense, household characteristics, and income. Expenditures examined in this survey are those which respondents could be expected to recall fairly accurately for three months or longer. Consumer units, which are roughly equivalent to households, are interviewed once per quarter for five consectutive quarters. The initial interview collects demographic and family characteristics data and an inventory of major durable goods for each consumer unit. Expenditures are collected in this interview using a one-month recall. They are used along with the inventory information to bound the expenditure responsed for subsequent interviews and to classify the unit for analysis. The bounding of expenditure responses prevents duplicate reporting in subsequent interviews. Because the collected expenditure estimates in this initial interview are used for bounding purposes and not for expenditure estimates, these data are not placed on the files. The second through fifth interviews use uniform questionnaires to collect expenditure information in each quarter. Income information, such as wage, salary, unemployment compensation, child support, alimony, as well as information on the employment of each household member, are collected in the second and fifth interviews only. For new consumer unit members and members who started work since the previous interview, wage, salary, and other information on employment are collected in the third and fourth interviews. If there is no new employment information, it is carried over from the second interview to the third and fourth interviews. In the fifth interview, a supplement is used to collect information on stock values and changes in balances of assets and liabilities. There are four files of data in this collection. The Family Characteristis and Income (FMLY) files (Parts 1, 5, 9, 13, 17, 21, 29, and 33) contain consumer unit characteristics, consumer unit income, characteristics and earnings of the reference person, and characteristics and earnings of the spouse. The Member Characteristics and Income (MEMB) files (Parts 2, 6, 10, 14, 18, 22, 26, 30, and 34) supply selected characteristics for each consumer unit member, including reference person and spouse. The Detailed Expenditure (MTAB) files (Parts 3, 7, 11, 15, 19, 23, 27, 31, and 35) furnish monthly data at the Universal Classification Code (UCC) level. In these files expenditures for each consumer unit are classified according to UCC categories and are specified as gifts or non-gifts. The income (ITAB) files (Parts 4, 8, 12, 16, 20, 24, 28, 32, and 36) contain monthly data for consumer unit characteristics and income at the UCC level. There are in addition nine detailed expenditure files (Parts 37-45). (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08423.v2. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Labour Costs in Singapore increased to 125.90 points in the first quarter of 2025 from 118.80 points in the fourth quarter of 2024. This dataset provides - Singapore Labour Costs - actual values, historical data, forecast, chart, statistics, economic calendar and news.