The average monthly salary for South Africans who were employed in the formal non-agricultural sector was just over 26,800 South African rands (comparable to roughly 1,500 U.S. dollars) in November 2023, which represented a yearly increase of tw0 percent. During the period under review, the overall growth trend was positive, with the earnings increasing by 24.4 percent from 21,500 South African rands (approximately 1,180 U.S. dollars) in November 2018. Minimum wage and highest-paid professions Starting in March 2023, the minimum hourly wage in the country increased to 25.42 South African rands (comparable to 1.40 U.S. dollars), which represented an increase of 9.6 percent from 23.19 South African rands (1.27 U.S. dollars) per hour in the preceding year. On the other hand, professionals in executive and change management positions were paid the highest salaries in South Africa, with an average of 74,000 U.S. dollars yearly. Individuals with jobs in retail, trade, and craft followed, receiving an average of 66,000 U.S. dollars per annum. Highest unemployment among Black South Africans In 2022, the unemployment rate in South Africa was nearly 30 percent following an increasing trend since 2008. The rate was highest among Black South Africans reaching as high as 36.8 percent in the second quarter of 2023. Moreover, Colored South Africans followed with around 22 percent, while white South Africans had a much lower unemployment rate of over 7 percent.
As of 2024, Morocco had the highest average monthly salaries in Africa. Employees in the country earned around 2,030 U.S. dollars per month. South Africa and Tunisia followed, with average monthly salaries amounting to 2,026 U.S. dollars and 1,348 U.S. dollars, respectively.
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Wages in Manufacturing in South Africa increased to 24088 ZAR/Month in the fourth quarter of 2024 from 23735 ZAR/Month in the third quarter of 2024. This dataset provides - South Africa Total Quarterly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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South Africa ZA: Wages Index data was reported at 275.340 2010=100 in 2018. This records an increase from the previous number of 261.578 2010=100 for 2017. South Africa ZA: Wages Index data is updated yearly, averaging 127.770 2010=100 from Dec 2009 (Median) to 2018, with 10 observations. The data reached an all-time high of 275.340 2010=100 in 2018 and a record low of 87.920 2010=100 in 2009. South Africa ZA: Wages Index data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s South Africa – Table ZA.IMF.IFS: Wages, Labour Cost and Employment Index: Annual.
In 2016, average salaries and wages in the South African post industry amounted to 168,274 South African Rand. In that same year, post and associated courier activities in South Africa employed 36,337 people.
The minimum hourly wage in South Africa reached 27.58 South African rand (1.45 U.S. dollars) in 2024. Compared to the previous year, this was an increase from 25.42 South African rand (1.34 U.S. dollars) per hour. This represented an increment of 8.2 percent, which was the highest in the period reviewed. South Africa's Minister of Employment and Labor, Thusla Nxesi, announced the increase in February with effect from March 1, 2024.
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South Africa ZA: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data was reported at 82.704 % in 2017. This records a decrease from the previous number of 82.712 % for 2016. South Africa ZA: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data is updated yearly, averaging 82.653 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 84.146 % in 2008 and a record low of 79.848 % in 1991. South Africa ZA: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank: Employment and Unemployment. Wage and salaried workers (employees) are those workers who hold the type of jobs defined as 'paid employment jobs,' where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.
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Los salarios en Sudáfrica aumentaron a 28220 ZAR/mes en el tercer trimestre de 2024 desde 27511 ZAR/mes en el segundo trimestre de 2024. Los valores actuales, los datos históricos, las previsiones, estadísticas, gráficas y calendario económico - Sudáfrica - Salarios.
In 2019, the average real wage in the African continent increased by a slight 0.3 percent compared to the previous year, after it significantly dropped in 2017 and 2018 by 3.5 percent and 3.6 percent respectively. There have been several fluctuations in the real wages between 2010 and 2019, with the highest increase registered in 2010 at five percent.
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South Africa Annual Salary: Mining: Male data was reported at 101,162,448.773 ZAR th in 2015. This records an increase from the previous number of 90,896,537.984 ZAR th for 2014. South Africa Annual Salary: Mining: Male data is updated yearly, averaging 20,434,325.411 ZAR th from Dec 1984 (Median) to 2015, with 32 observations. The data reached an all-time high of 101,162,448.773 ZAR th in 2015 and a record low of 4,515,132.502 ZAR th in 1984. South Africa Annual Salary: Mining: Male data remains active status in CEIC and is reported by Department of Mineral Resources. The data is categorized under Global Database’s South Africa – Table ZA.G031: Gross Employee Earnings: Mining Sector.
The Income and Expenditure Survey is conducted every five years in South Africa.The main purpose of the survey is to determine the average expenditure patterns of households in different areas of the country. This survey forms the basis for the determination of the "basket" of consumer goods and services used for the calculation of the Consumer Price Index.
The survey had national coverage
Units of analysis in the survey are households
The survey covered private dwellings, workers' hostels, residential hotels, and nurses' and doctors' quarters, but excluded hospitals and clinics, hotels and guest houses, prisons, schools and student hostels and old-age homes.
Sample survey data [ssd]
The sampling frame for the IES 2010/2011 was obtained from Statistics South Africa’s Master Sample (MS) based on the 2001 Population Census enumeration areas (EAs). The scope of the Master Sample (MS) is national coverage of all households in South Africa and the target population consists of all qualifying persons and households in the country. In summary, it has been designed to cover all households living in private dwelling units and workers living in workers’ quarters in the country. The IES 2010/2011 sample is based on an extended sample of 3 254 PSUs, which consists of the 3 080 PSUs in the Master Sample and a supplement of 174 urban PSUs selected from the PSU frame. The IES sample file contained 31 419 sampled dwelling units (DUs). The 31 419 sampled DUs consist of 31 007 DUs sampled from the 3 080 design PSUs in the Master Sample and 412 DUs from the supplemented 174 urban PSUs. In the case of multiple households at a sampled DU, all households in the DU were included.
Face-to-face [f2f]
There were four modules in the household questionnaire with eighteen subsections. The first module collected general household data and data on household members. Modules 2 to 4 collected data on consumption expenditure, household finances and income. The diary was a booklet in which the respondent recorded weekly expenditure data. A household completed a different diary for each week of the survey period.
From the 31 419 dwelling units sampled across South Africa, 33 420 households were identified. Out of these, there was a sample realisation of 27 665 (82,8%) households, with the remaining 5 755 (17,2%) households being classified as out of scope.
In 2016, average salaries and wages in the air transport segment of transport and storage industry in South Africa corresponded to 525,141 South African Rand. That same year, the transport and storage industry in South Africa employed 332,000 people.
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South Africa Nominal Avg Monthly Earnings: IB: Electricity, Gas and Water Supply data was reported at 53,980.000 ZAR in Aug 2024. This records an increase from the previous number of 52,249.000 ZAR for May 2024. South Africa Nominal Avg Monthly Earnings: IB: Electricity, Gas and Water Supply data is updated quarterly, averaging 44,384.942 ZAR from May 2015 (Median) to Aug 2024, with 38 observations. The data reached an all-time high of 53,980.000 ZAR in Aug 2024 and a record low of 33,315.000 ZAR in May 2015. South Africa Nominal Avg Monthly Earnings: IB: Electricity, Gas and Water Supply data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G025: Nominal and Real Average Monthly Earnings: 2016 Business Sampling Frame.
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South Africa Tourism Income: Total: Guest Houses and Farms data was reported at 124.200 ZAR mn in Aug 2018. This records an increase from the previous number of 112.000 ZAR mn for Jul 2018. South Africa Tourism Income: Total: Guest Houses and Farms data is updated monthly, averaging 101.100 ZAR mn from Sep 2004 (Median) to Aug 2018, with 168 observations. The data reached an all-time high of 238.800 ZAR mn in Dec 2017 and a record low of 16.300 ZAR mn in Jun 2005. South Africa Tourism Income: Total: Guest Houses and Farms data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.Q009: Tourism Income.
As of 2022, Seychelles was the African country with the highest estimated minimum gross monthly wage, standing at 464.76 U.S. dollars. It was followed by Morocco at 285.61 U.S. dollars and South Africa 248.12 U.S. dollars. Among the selected nations, only five countries had a minimum wage above 200 U.S. dollars on the continent. Minimum wage adjustments Legislations regarding minimum wages vary significantly across countries. The minimum remuneration of employees is usually proportionate to a specific area's cost of living. Determining a minimum wage aims to increase employees' living conditions while reducing poverty and inequality. Due to rising prices and inflation, governments occasionally adjust the minimum salary. In Africa, Sierra Leone experienced the highest increase in the minimum wage in recent years, with a growth of almost 30 percent between 2010 and 2019. However, governments can also lower minimum wages. Liberia and Burundi reduced the lowest possible remuneration by around 14 percent and eight percent, respectively, between 2010 and 2019. Widespread informal employment Despite legislation in force, minimum wages are not always guaranteed. In fact, several forms of employment allow employers to avoid paying minimum wages. In addition, undeclared work remains a common practice in many countries worldwide. The situation is particularly critical in some African countries. According to estimates, over 96 percent of the working population in Niger, The Democratic Republic of Congo, Benin, and Madagascar engaged in informal employment between 2019 and 2023. In Egypt and South Africa, the share stood at 67 percent and 42 percent, respectively. Seychelles had the lowest rate on the continent at around 17 percent.
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in South Prairie. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Prairie median household income by race. You can refer the same here
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Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in South Hanover township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Hanover township median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in South Coffeyville. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Coffeyville median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in South Franklin township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Franklin township median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in South Fayette township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for South Fayette township median household income by race. You can refer the same here
The average monthly salary for South Africans who were employed in the formal non-agricultural sector was just over 26,800 South African rands (comparable to roughly 1,500 U.S. dollars) in November 2023, which represented a yearly increase of tw0 percent. During the period under review, the overall growth trend was positive, with the earnings increasing by 24.4 percent from 21,500 South African rands (approximately 1,180 U.S. dollars) in November 2018. Minimum wage and highest-paid professions Starting in March 2023, the minimum hourly wage in the country increased to 25.42 South African rands (comparable to 1.40 U.S. dollars), which represented an increase of 9.6 percent from 23.19 South African rands (1.27 U.S. dollars) per hour in the preceding year. On the other hand, professionals in executive and change management positions were paid the highest salaries in South Africa, with an average of 74,000 U.S. dollars yearly. Individuals with jobs in retail, trade, and craft followed, receiving an average of 66,000 U.S. dollars per annum. Highest unemployment among Black South Africans In 2022, the unemployment rate in South Africa was nearly 30 percent following an increasing trend since 2008. The rate was highest among Black South Africans reaching as high as 36.8 percent in the second quarter of 2023. Moreover, Colored South Africans followed with around 22 percent, while white South Africans had a much lower unemployment rate of over 7 percent.