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.

In 2023, the median hourly earnings of wage and salary workers in the United States was 19.24 U.S. dollars. This is an increase from 1979, when median hourly earnings were at 4.44 U.S. dollars. Hourly Workers The United States national minimum wage is 7.25 U.S. dollars per hour, which has been the minimum wage since 2009. However, each state has the agency to set their state minimum wage. Furthermore, some cities are able to create their minimum wage. Many argue that the minimum wage is too low and should be raised, because it is not considered a living wage. There has been a movement to raise the minimum wage to 15 U.S. dollars per hour, called “Fight for 15” which began in the early 2010s. While there has been no movement at the federal level, some states have moved to increase their minimum wages, with at least three states and the District of Columbia setting minimum wage rates at or above 15 dollars per hour. More recently, some proponents of increasing the minimum wage say that 15 dollars is too low, and lawmakers should strive toward a higher goal, especially given that a 2021 analysis found that the minimum wage in the U.S. should be 22.88 U.S. dollars if it grew at the same rate as economic productivity. Salary Workers On the other hand, salary workers in the United States do not get paid on an hourly basis. The median weekly earnings of salary workers have significantly increased since 1979. Asian salary workers had the highest hourly earnings in the U.S. in 2021. Among female salary workers, those ages 45 to 54 years old had the highest median hourly earnings in 2021, likewise for male salary workers.

In 2023, the usual median hourly rate of a worker's wage in the United States was 19.24 U.S. dollars, a decrease from the previous year. Dollar value is based on 2023 U.S. dollars. In 1979, the median hourly earnings in the U.S. was 17.48 dollars.

Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2023 about family, median, income, real, and USA.

This map layer portrays 1979, 1980, and 1981 estimates for total personal income, per capita personal income, annual number of full-time and part- time jobs, average wage per job in dollars, population, and per capita number of jobs, for counties in the United States. Total personal income is all the income that is received by, or on behalf of, the residents of a particular area. It is calculated as the sum of wage and salary disbursements, other labor income, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and transfer payments to persons, minus personal contributions for social insurance. Per capita personal income is calculated as the total personal income of the residents of a county divided by the resident population of the county. The Census Bureau's annual midyear population estimates were used in the computation. The average annual number of full-time and part-time jobs includes all jobs for which wages and salaries are paid, except jury and witness service and paid employment of prisoners. The jobs are counted at equal weight, and employees, sole proprietors, and active partners are all included. Unpaid family workers and volunteers are not included. Average wage per job is the total wage and salary disbursements divided by the number of wage and salary jobs in the county. Wage and salary disbursements consist of the monetary remuneration of employees, including the compensation of corporate officers; commissions, tips, and bonuses; and receipts in kind, or pay-in-kind, such as the meals furnished to the employees of restaurants. It reflects the amount of payments disbursed, but not necessarily earned during the year. Per capita number of jobs is calculated as the average annual number of full-time and part-time jobs in a county divided by the resident population of the county. The Census Bureau's annual midyear population estimates were used in the computation. All dollar estimates are in current dollars, not adjusted for inflation. The information in this map layer comes from the Regional Economic Information System (REIS) that is distributed by the Bureau of Economic Analysis, http://www.bea.gov/. This is an updated version of the November 2004 map layer.

The data set recorded the statistical data of the average salary and index of employed non-private sector employees in Qinghai Province in major years from 1978 to 2020, divided by year and regions such as Xining city, Haidong Prefecture, Haibei Prefecture, Huangnan Prefecture, Hainan Prefecture, Goluo Prefecture, Yushu Prefecture and Haixi Prefecture. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 17 data tables, which are: Average wages and indices of major years 1978-2004 XLS, 1978-2005 XLS, 1978-2006 XLS, 1978-2007 Average Wages and Indices of Employed Staff in non-private Sector of major years 1978-2011 XLS, main years 1978-2009 XLS, main years 1978-2010 XLS, Main years 1978-2011 Main years Average Wage and Index of Employed Staff and Workers in Non-private Sector, 1981-2012, main years Average Wage and Index of Employed Staff and workers in Non-private Sector, 1981-2013. XLS, main years Average wage and index of Employed Staff and workers in Non-private Sector, 1981-2014. Average Wage and index of Employed Staff and Workers in non-private Sector in major years 1981-2015 XLS, Average Wage and Index of Employed Staff and workers in Non-private Sector in major years 1981-2016 XLS, average Wage and Index of Employed Staff and workers in Non-private Sector in major years 1981-2017 XLS, Average Wage and Index of Employed Staff and Workers in Non-private Units in Main years 1981-2018. XLS, Average wage of Employed Staff in Non-private Units by Industry and Region in Qinghai Province (2019). XLS, Average wage of Employed Staff in Non-private Units by Industry and Region in Qinghai Province (2020). For example, the 2018 table has 4 fields: Field 1: Year Field 2: region Field 3: Average salary Field 4: Index

Key information about Thailand Household Income per Capita

• Thailand Annual Household Income per Capita reached 3,756.344 USD in Dec 2023, compared with the previous value of 3,728.753 USD in Dec 2021.
• Thailand Annual Household Income per Capita data is updated yearly, available from Dec 1981 to Dec 2023, with an averaged value of 1,292.258 USD.
• The data reached an all-time high of 3,756.344 USD in Dec 2023 and a record low of 384.846 USD in Dec 1986.
• In the latest reports, Retail Sales of Thailand grew 0.336 % YoY in Apr 2023.

CEIC calculates Annual Household Income per Capita from Monthly Average Household Income per Capita multiplied by 12 and converts it into USD. National Statistical Office provides Average Household Income per Capita in local currency. Federal Reserve Board average market exchange rate is used for currency conversions.

Graph and download economic data for Real Median Household Income in New Jersey (MEHOINUSNJA672N) from 1984 to 2023 about NJ, households, median, income, real, and USA.

United States HAI: First Time: Prime 1st Time Median Income data was reported at 49,795.000 USD in Sep 2018. This records an increase from the previous number of 49,403.000 USD for Jun 2018. United States HAI: First Time: Prime 1st Time Median Income data is updated quarterly, averaging 32,416.000 USD from Mar 1981 (Median) to Sep 2018, with 151 observations. The data reached an all-time high of 49,795.000 USD in Sep 2018 and a record low of 15,294.000 USD in Mar 1981. United States HAI: First Time: Prime 1st Time Median Income data remains active status in CEIC and is reported by National Association of Realtors. The data is categorized under Global Database’s United States – Table US.EB019: Housing Affordability Index: First Time Buyers.

Between 1948 and 1981, average wages in the U.S. agricultural sector grew by a factor of five. Agricultural wages doubled between 1955 and 1970, and doubled again by 1980. These rates were slightly higher, but similar to, wage growth in the industrial sector during these years.

Key information about Sri Lanka Household Income per Capita

• Sri Lanka Annual Household Income per Capita reached 1,422.182 USD in Jun 2019, compared with the previous value of 1,385.427 USD in Jun 2016.
• Sri Lanka Annual Household Income per Capita data is updated yearly, available from Jun 1981 to Jun 2019, with an averaged value of 577.877 USD.
• The data reached an all-time high of 1,422.182 USD in Jun 2019 and a record low of 125.248 USD in Jun 1981.

CEIC calculates Annual Household Income per Capita from Monthly Average Household Income per Capita multiplied by 12 and converts it into USD. The Department of Census and Statistics provides Average Household Income per Capita in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Household Income per Capita is in annual frequency, ending in June of each year.

Hong Kong Median Monthly Domestic Household Income (MI): incl Bonus data was reported at 28,900.000 HKD in Sep 2018. This records an increase from the previous number of 27,500.000 HKD for Jun 2018. Hong Kong Median Monthly Domestic Household Income (MI): incl Bonus data is updated quarterly, averaging 16,950.000 HKD from Dec 1981 (Median) to Sep 2018, with 148 observations. The data reached an all-time high of 28,900.000 HKD in Sep 2018 and a record low of 3,300.000 HKD in Dec 1981. Hong Kong Median Monthly Domestic Household Income (MI): incl Bonus data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.H021: Domestic Households Statistics.

Thailand Avg Monthly Household Income: Northeastern data was reported at 20,271.000 THB in 2017. This records a decrease from the previous number of 21,094.000 THB for 2015. Thailand Avg Monthly Household Income: Northeastern data is updated yearly, averaging 8,413.500 THB from Dec 1981 (Median) to 2017, with 20 observations. The data reached an all-time high of 21,094.000 THB in 2015 and a record low of 2,512.000 THB in 1981. Thailand Avg Monthly Household Income: Northeastern data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.H013: Household Socio Economic Survey: Household Income and Expenditure.

Thailand Avg Monthly Household Income: Central data was reported at 27,042.000 THB in 2017. This records an increase from the previous number of 26,601.000 THB for 2015. Thailand Avg Monthly Household Income: Central data is updated yearly, averaging 12,909.500 THB from Dec 1981 (Median) to 2017, with 20 observations. The data reached an all-time high of 27,042.000 THB in 2017 and a record low of 3,665.000 THB in 1981. Thailand Avg Monthly Household Income: Central data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.H013: Household Socio Economic Survey: Household Income and Expenditure.

According to the source, the average salary in Poland in 1981 amounted to nearly 7.7 thousand zloty, the equivalent of about 25-30 U.S. dollars at the time. In 2021, Poles earned 15 times more than in 1981, considering the equivalent in dollars. For example, one person could buy 907 loaves of bread in 2021 for an average salary, compared to 324 in 1981.

This metadata record describes the average daily precipitation intensity for rain events during the 30-year period 1981 – 2010 for the conterminous United States. A rain event is defined as a period when the number of consecutive days with precipitation equals or exceeds 1 millimeter. Daily precipitation intensity is defined as the amount of precipitation over the duration of a rain event divided by the number of days in a rain event. The source data was produced and acquired from DAYMET (2018) and is presented here as a 1-kilometer resolution GeoTIFF file.

Thailand Avg Monthly Household Income: Southern data was reported at 26,913.000 THB in 2017. This records an increase from the previous number of 26,286.000 THB for 2015. Thailand Avg Monthly Household Income: Southern data is updated yearly, averaging 11,323.500 THB from Dec 1981 (Median) to 2017, with 20 observations. The data reached an all-time high of 27,504.000 THB in 2013 and a record low of 3,256.000 THB in 1981. Thailand Avg Monthly Household Income: Southern data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.H013: Household Socio Economic Survey: Household Income and Expenditure.

Costa Rica CR: Proportion of People Living Below 50 Percent Of Median Income: % data was reported at 18.700 % in 2022. This records a decrease from the previous number of 19.600 % for 2021. Costa Rica CR: Proportion of People Living Below 50 Percent Of Median Income: % data is updated yearly, averaging 20.000 % from Dec 1981 (Median) to 2022, with 36 observations. The data reached an all-time high of 25.000 % in 1981 and a record low of 18.300 % in 2010. Costa Rica CR: Proportion of People Living Below 50 Percent Of Median Income: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Social: Poverty and Inequality. The percentage of people in the population who live in households whose per capita income or consumption is below half of the median income or consumption per capita. The median is measured at 2017 Purchasing Power Parity (PPP) using the Poverty and Inequality Platform (http://www.pip.worldbank.org). For some countries, medians are not reported due to grouped and/or confidential data. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported.;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).

Tunisia Minimum Wages: Agriculture: Annual: Daily Average data was reported at 13.763 TND/Day in 2018. This stayed constant from the previous number of 13.763 TND/Day for 2017. Tunisia Minimum Wages: Agriculture: Annual: Daily Average data is updated yearly, averaging 5.559 TND/Day from Jul 1981 (Median) to 2018, with 38 observations. The data reached an all-time high of 13.763 TND/Day in 2018 and a record low of 2.000 TND/Day in 1981. Tunisia Minimum Wages: Agriculture: Annual: Daily Average data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Tunisia – Table TN.G014: Minimum Wages. Minimum Wages for 2012 are exceptionally announced in September instead of July.

This EnviroAtlas dataset provides the average annual precipitation by 12-digit Hydrologic Unit (HUC). The values were estimated from maps produced by the PRISM Climate Group, Oregon State University. The original data was at the scale of 800 m grid cells representing average precipitation from 1981-2010 in mm. The data was converted to inches of precipitation and then zonal statistics were estimated for a final value of average annual precipitation for each 12 digit HUC. For more information about the original dataset please refer to the PRISM website at http://www.prism.oregonstate.edu/. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).