Uruguay was the Latin American country with the highest average monthly salary as of 2024, with a net value of around 1,088 U.S. dollars per month, followed by Costa Rica, with 947 U.S. dollars per month. Employment development areas in Latin America Following the recuperation in this sector after the job losses endured throughout the COVID-19 pandemic, the unemployment rate persists in its endeavor to stabilize. Informal employment remains as the predominant actor across most Latin American countries, serving as a primary avenue for economic sustenance. Notably, the construction sector has experienced substantial growth, outpacing other relevant industries like tourism and hospitality. Poverty Throughout the past two decades, poverty levels in Latin America remain unchanged. Honduras takes the lead as the country bearing the highest poverty rate, with nearly half of its population dwelling in these circumstances. Across the region, the prevalent delineation is that of individuals classified within the non-extreme and lower-middle poverty strata, characterized by modest income levels.

This dataset provides values for WAGES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This graph shows average wages around the world in 2012 as calculated by purchasing power parity. In 2012 the highest average wage was earned in Luxembourg at 4,089 purchasing power parity dollars. Wages and salaries Wages and salaries in the United States have increased during the last decades. The median weekly earnings of a full-time wage and salary worker were about 241 U.S. dollars in 1979 and shifted up to 768 U.S. dollars in 2012.

The median earnings of U.S. full-time wage and salary workers vary across their educational attainment. The highest paid workers are those who hold a bachelor’s degree, according to the U.S. Bureau of Labor Statistics.

The U.S. federal government specified minimum wage laws for workers in the United States, which say that workers must be paid no less than the current federal minimum wage. The minimum wage was set at 7.25 U.S. dollars per hour by federal law. The actual minimum wage varies from state to state, as some states have additional minimum wage laws.

For instance, the minimum wage in Washington was around 9.04 U.S. dollars per hour, while the worst minimum wage can be found in Georgia, where workers earn at least 5.15 U.S. dollars per hour. No minimum wages can be found in Tennessee, Alabama, Louisiana, South Carolina and Mississippi, as of January 1, 2012.

The number of workers paid hourly rates with earnings at or below the minimum wage in the U.S. was at its highest in the industry type of leisure and hospitality in 2013.

Recent statistics show that the share of female workers paid hourly rates at or below prevailing federal minimum wage in the United States decreased since 1979. In that year, 20.2 percent of the female wage and salary workers were paid below the federal minimum wage, while only 2.9 percent of the female workers were paid below the federal minimum wage in 2006.

This dataset provides values for AVERAGE HOURLY EARNINGS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Luxembourg had the highest average monthly salary of employees in the world in 2024 in terms of purchasing power parities (PPP), which takes the average cost of living in a country into account. Belgium followed in second, with the Netherlands in third.

This dataset provides values for WAGES IN MANUFACTURING reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

As of the first half of 2023, Australia had the highest net salaries in the Asia-Pacific region at an average 4,172 U.S. dollars per month. In contrast, the average monthly net salary in Pakistan amounted to 154 U.S. dollars per month in the same period.

This dataset presents the average daily wage earnings during the preceding calendar month from regular wage/salaried employment among the regular wage/salaried employees in CWS for each State/ UT. For 2023-24, Chandigarh's entire area has been considered urban for this survey. Before 2019-20, Ladakh was part of Jammu and Kashmir, and since 2020-21, Daman and Diu have been merg ed with Dadra and Nagar Haveli to form the union territory of Dadra and Nagar Haveli and Daman and Diu.

This dataset provides values for WAGES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for MINIMUM WAGES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Average Wage: Guizhou: South Guizhou data was reported at 94,821.000 RMB in 2023. This records an increase from the previous number of 92,881.000 RMB for 2022. Average Wage: Guizhou: South Guizhou data is updated yearly, averaging 57,270.000 RMB from Dec 2005 (Median) to 2023, with 18 observations. The data reached an all-time high of 94,821.000 RMB in 2023 and a record low of 14,054.000 RMB in 2005. Average Wage: Guizhou: South Guizhou data remains active status in CEIC and is reported by South Guizhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GP: Average Wage: Prefecture Level Region.

This dataset provides values for WAGE GROWTH reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

AMI: Female: Dien Bien data was reported at 7,643.000 VND th in 2022. This records an increase from the previous number of 7,311.000 VND th for 2021. AMI: Female: Dien Bien data is updated yearly, averaging 6,057.000 VND th from Dec 2011 (Median) to 2022, with 12 observations. The data reached an all-time high of 7,643.000 VND th in 2022 and a record low of 3,559.000 VND th in 2011. AMI: Female: Dien Bien data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G053: Average Monthly Income: Wage Workers: By Provinces: Annual.

Average Monthly Nominal Wages: SB: Novosibirsk Region data was reported at 75,052.400 RUB in 2024. This records an increase from the previous number of 64,188.700 RUB for 2023. Average Monthly Nominal Wages: SB: Novosibirsk Region data is updated yearly, averaging 15,713.600 RUB from Dec 1992 (Median) to 2024, with 33 observations. The data reached an all-time high of 75,052.400 RUB in 2024 and a record low of 5.000 RUB in 1992. Average Monthly Nominal Wages: SB: Novosibirsk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GC008: Average Monthly Wages: by Region.

Average Monthly Nominal Income: per Capita: Region: Severo-Kazakhstanskaya data was reported at 79,253.360 KZT in Jun 2018. This records an increase from the previous number of 71,946.070 KZT for Mar 2018. Average Monthly Nominal Income: per Capita: Region: Severo-Kazakhstanskaya data is updated quarterly, averaging 65,116.494 KZT from Mar 2015 (Median) to Jun 2018, with 14 observations. The data reached an all-time high of 79,253.360 KZT in Jun 2018 and a record low of 50,090.492 KZT in Mar 2015. Average Monthly Nominal Income: per Capita: Region: Severo-Kazakhstanskaya data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.H011: Average Population Income: per Capita.

North America and the Middle East had the highest wages for customer support workers worldwide in 2018, with a median wage of 55,000 U.S. dollars according to a 2018 survey of employees in customer support roles. The region with the lowest wages was Asia, with 14,700 U.S. dollars.

VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

LAST UPDATED January 2019

DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

American Community Survey (2001-2017) http://api.census.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling concern of underestimating a median wage for a teaching occupation that requires less than 2080 hours of work a year (equivalent to 12 months fulltime). Finally, the OES has missing employment data for occupations across the time series. To make the employment data comparable between years, gaps in employment data for occupations are ‘filled-in’ using linear interpolation if there are at least two years of employment data found in OES. Occupations with less than two years of employment data were dropped from the analysis. Over 80% of interpolated cells represent missing employment data for just one year in the time series. While this interpolating technique may impact year-over-year comparisons, the long-term trends represented in the analysis generally are accurate.

This dataset provides values for MINIMUM WAGES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

China Average Wage: Shandong: Qingdao: Jiaonan data was reported at 29,000.000 RMB in 2010. This records an increase from the previous number of 27,014.020 RMB for 2009. China Average Wage: Shandong: Qingdao: Jiaonan data is updated yearly, averaging 20,613.000 RMB from Dec 2004 (Median) to 2010, with 7 observations. The data reached an all-time high of 29,000.000 RMB in 2010 and a record low of 9,732.000 RMB in 2004. China Average Wage: Shandong: Qingdao: Jiaonan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GK: Average Wage: County Level Region.

Graph and download economic data for Median Personal Income in Midwest Census Region (MEPAINUSMWA646N) from 1974 to 2023 about Midwest Census Region, personal income, personal, median, income, and USA.