Graph and download economic data for Income Before Taxes: Self-Employment Income by Occupation: Self-Employed Workers (CXUSFEMPINCLB1202M) from 1984 to 2023 about self-employed, occupation, workers, tax, income, and USA.

Poland Household Income: Monthly Avg: per Capita: Self Employed data was reported at 1,918.940 PLN in 2017. This records an increase from the previous number of 1,792.330 PLN for 2016. Poland Household Income: Monthly Avg: per Capita: Self Employed data is updated yearly, averaging 1,102.630 PLN from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 1,918.940 PLN in 2017 and a record low of 520.170 PLN in 1995. Poland Household Income: Monthly Avg: per Capita: Self Employed data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.H015: Household Budget Survey: Income and Expenditure per Capita.

The average annual self-employment income per household of those in the top decile group amounted to 26 thousand British pounds. This is nearly 25 times more than the average annual self-employment income per household of those in the bottom decile, which came to 1 thousand British pounds.

Graph and download economic data for Income Before Taxes: Self-Employment Income by Age: from Age 65 to 74 (CXUSFEMPINCLB0408M) from 1984 to 2023 about self-employed, 65-years +, age, tax, income, and USA.

This table contains statistics regarding income and capital of self-employed persons in the Netherlands. A distinction is made between, on the one hand, persons for whom self-employment provides for the main source of income, and on the other hand all persons with income from self-employed work. The figures in this table are broken down by type of self-employed person, sector, gender, age, migration background, position in the household, and by income and wealth decile groups.

All statistics in this table are at the individual level, this includes capital; (corporate) assets are summed per household and then assigned to all household members, thus serving as a measure of personal prosperity. The sample date for both population and capital is the first of January of the reporting year. For the older years 2007 up to and including 2010, capital is sampled on the first of January of the year following the reporting year.

The General Business Register (ABR) is used to determine the sector (SBI) of self-employed persons. The ABR has been subject to various trend breaks in the period 2007-2011. This leads to a sharp decrease in the number of self-employed persons in the financial services (sector K) in 2010. Therefore caution is advised when consulting sector trends or comparing numbers across sectors.

Data available from: 2007.

Status of the figures: The figures for 2006 to 2022 are final. The figures for 2023 are preliminary.

Changes as of November 1 2024: Figures for 2022 have been finalized. Figures for 2023 have been added.

Changes as of March 2022: Figures on the wealth of the self-employed in 2010 were incorrect, and have been removed. For this year the wealth of 2011 applies, as 2011 marks a shift in sample date from December 31 to January 1. Missing wealth figures for 2013 have been supplemented.

Changes as of July 2021: Revised data for 2006 to 2019 have been added. Due to the availability of new sources and improvements in the methodology, wealth figures have changed. Additionally everyone with personnel is now classified as self-employed with employee (formerly this distinction was based solely on the enterprise constituting the main source of income).

When will new figures be published? New figures for 2024 will be published in December 2025.

As of August 2023, self-employed persons between the ages of 25 to 54 years could expect a net monthly income of around 2.18 million Indonesian rupiah. The average net monthly income for self-employed persons in that year was around two million Indonesian rupiah, with different degrees of variation among the different provinces.

As of August 2023, self-employed persons working in rural areas between the ages of 25 to 54 years could expect a net monthly income of around 1.81 million Indonesian rupiah. The average net monthly income for self-employed persons in rural areas that year was around 1.65 million Indonesian rupiah, with different degrees of variation among the different provinces.

Vietnam AMI: MR: Male: Self-Employed, Business Household data was reported at 5,444.000 VND th in Dec 2019. This records an increase from the previous number of 5,331.000 VND th for Sep 2019. Vietnam AMI: MR: Male: Self-Employed, Business Household data is updated quarterly, averaging 3,505.600 VND th from Mar 2011 (Median) to Dec 2019, with 36 observations. The data reached an all-time high of 5,444.000 VND th in Dec 2019 and a record low of 1,936.100 VND th in Mar 2011. Vietnam AMI: MR: Male: Self-Employed, Business Household data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G058: Average Monthly Income: Wage Workers: By Economic Sector: By Provinces: Quarterly (Discontinued).

Brazil Average Nominal Wages: Actual Earnings: Amazonas: Self Employed data was reported at 949.000 BRL in Mar 2019. This records an increase from the previous number of 896.000 BRL for Dec 2018. Brazil Average Nominal Wages: Actual Earnings: Amazonas: Self Employed data is updated quarterly, averaging 919.000 BRL from Mar 2012 (Median) to Mar 2019, with 29 observations. The data reached an all-time high of 1,023.000 BRL in Mar 2015 and a record low of 795.000 BRL in Dec 2016. Brazil Average Nominal Wages: Actual Earnings: Amazonas: Self Employed data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBD002: Continuous National Household Sample Survey: Average Nominal Wages: Actual Earnings.

Latvia HD: per Capita: Monthly Avg: Income from Self Employment data was reported at 13.320 EUR in 2016. This records a decrease from the previous number of 15.570 EUR for 2015. Latvia HD: per Capita: Monthly Avg: Income from Self Employment data is updated yearly, averaging 12.230 EUR from Dec 2004 (Median) to 2016, with 13 observations. The data reached an all-time high of 15.990 EUR in 2014 and a record low of 7.970 EUR in 2009. Latvia HD: per Capita: Monthly Avg: Income from Self Employment data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.H012: Household Disposable Income per Capita: Monthly Average.

This statistic displays the average self-employment income received by non-retired households in the United Kingdom (UK) in 2017/18, by decile group. Households in the bottom decile received, on average, 1,482 British pounds in self-employment income, this was the lowest of any decile group, whilst households in the top decile received, on average, 21,381 British pounds in self-employment income, which was the highest of any decile group.

This table contains data on the income and wealth of the self-employed. A distinction is made between, on the one hand, persons for whom the main income is generated from self-employed activities, and, on the other hand, all persons with income from self-employed activities. The number of types of income sources of the self-employed is also reported. The groups are distinguished by type of self-employed person, industry, gender, age, migration background, position in the household, number of people with income in the household, and income and wealth groups. The reference date of the assets is January 1 of the year under review, for volumes from 2011. For older volumes from 2007 to 2010, this is January 1 of the year following the research year. The General Business Register (ABR) is used to determine the SBI of self-employed persons. In the period 2007-2011, the ABR was confronted with various trend breaks. In this table, this leads to a sharp drop in the number of self-employed people in the financial services sector (K) in 2010. Caution is therefore advised when comparing the figures by SBI. Data available from 2007 to 2015 Status of the figures: The figures in this table are provisional. Changes as of February 20, 2018: This table has been discontinued. Changes as of March 7, 2017: The figures on Self-employed all incomes for the industries with composite letter codes (aggregations) were incorrectly calculated for all years. It concerns the aggregates B-F Industry and energy, G-N Commercial services, O-U Non-commercial services, B-E Industry (no construction) and energy, G-I Trade, transport and catering, M-N Business services, O-Q Government and healthcare, R-U Culture, recreation, other services. This has been fixed in this version. Changes as of February 8, 2017: The topics Persons with company assets and Median company assets have been added. In addition to average incomes, median incomes are now also available. Data for the years 2007 to 2010 and 2015 have been added. From the year 2011, a general revision of the income statistics has been carried out. Due to various changes in the method, this leads to a trend break with previous years across the board. When will new numbers come out? Not applicable anymore

Vietnam AMI: Urban: Female: Self-Employed, Business Household data was reported at 4,884.000 VND th in Dec 2019. This records an increase from the previous number of 4,746.000 VND th for Sep 2019. Vietnam AMI: Urban: Female: Self-Employed, Business Household data is updated quarterly, averaging 3,215.600 VND th from Mar 2011 (Median) to Dec 2019, with 36 observations. The data reached an all-time high of 4,884.000 VND th in Dec 2019 and a record low of 1,838.000 VND th in Jun 2011. Vietnam AMI: Urban: Female: Self-Employed, Business Household data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G057: Average Monthly Income: Wage Workers: By Economic Sector: Quarterly (Discontinued).

Graph and download economic data for Income Before Taxes: Self-Employment Income by Occupation: Wage and Salary Earners: Operators, Fabricators and Laborers (CXUSFEMPINCLB1208M) from 1984 to 2021 about self-employed, fabrication, operating, occupation, salaries, tax, wages, labor, income, and USA.

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 presents the average gross earnings (in Rs.) during the last 30 days for individuals engaged in self-employment work under current weekly status (CWS). The data is sourced from the annual report of the Periodic Labour Force Survey (PLFS) conducted by the Ministry of Statistics and Programme Implementation. It provides insights into the income generated from self-employment activities across different sectors.

As of August 2023, self-employed persons in a five-member households could expect a net monthly income of around 2.59 million Indonesian rupiah. The average net monthly income for a self-employed person's family in that year was around two million Indonesian rupiah, with different degrees of variation among the different provinces.

This table contains data on the income and wealth of the self-employed by region. These are people for whom work as a self-employed person is the main source of income. A distinction is made between self-employed persons and economic activity. The data is broken down into various regional classifications, from municipality to part of the country. The reference date of the assets is January 1 of the year under review, for volumes from 2011. For older volumes from 2007 to 2010, this is January 1 of the year following the research year. The General Business Register (ABR) is used to determine the SBI of self-employed persons. In the period 2007-2011, the ABR was confronted with various trend breaks. In this table, this leads to a sharp drop in the number of self-employed people in the financial services sector (K) in 2010. Caution is therefore advised when comparing the figures by SBI. Data available from 2007 to 2015. Status of the figures: The figures in this table are provisional. Regional data at municipality level are not yet available for 2015. Changes as of February 20, 2018: None, this table has been discontinued Changes as of February 8, 2017: The topics Persons with business assets and Median business assets have been added. In addition to average incomes, median incomes are now also available. Data for the years 2007 to 2010 and 2015 have been added. From the year 2011, a general revision of the income statistics has been carried out. Due to various changes in the method, this leads to a trend break with previous years across the board. When will new numbers come out? Not applicable anymore

Source : Derived based on data from Central Provident Fund Board Notes : 1) Average (Mean) Monthly Earnings (AME) refers to all remuneration received before deduction of the employee Central Provident Fund (CPF) contributions and personal income tax. It comprises basic wages, overtime pay, commissions, allowances and bonuses but exclude employer CPF contributions. 2) Data cover full-time and part-time employees who have CPF contributions. They exclude identifiable self-employed persons who have made CPF contribution. 3) Average (Mean) Monthly Earnings covers employees who contribute to the Central Provident Fund. Available quarterly, AME provides a timely rough gauge of average wage movement. However, the AME can be influenced by the changing mix of full-time and part-time workers and variations in overtime as the data are compiled based on the payroll of contributors to the CPF which do not allow for breakdown separately to full-timers and part-timers. Also, as AME pertains to mean earnings, it can be skewed upwards by a small number of very high income earners. For income of a typical worker, users should refer to the median Gross Monthly Income From Work and for wage growth of employees over a year they can refer to the Annual Wage Changes, both of which are available on MOM’s website.

Estonia Monthly Household Disposable Income: per Capita: Self Employment data was reported at 8.700 EUR in 2016. This records a decrease from the previous number of 9.200 EUR for 2015. Estonia Monthly Household Disposable Income: per Capita: Self Employment data is updated yearly, averaging 9.200 EUR from Dec 2008 (Median) to 2016, with 9 observations. The data reached an all-time high of 13.100 EUR in 2014 and a record low of 6.992 EUR in 2008. Estonia Monthly Household Disposable Income: per Capita: Self Employment data remains active status in CEIC and is reported by Statistics Estonia. The data is categorized under Global Database’s Estonia – Table EE.H011: Monthly Household Disposable Income per Capita: Social Survey.