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, the average annual salary of selected high-paid professions in South Africa was highest among radiation oncologists, with 2.26 million South African rand (around 125,516 U.S. dollars) per annum. Neurosurgeons followed, with 1.85 million South African rand (approximately 102,720) per year.

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.

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.

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.

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.

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.

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.

South Africa Annual Salary: Mining: Female data was reported at 12,845,490.657 ZAR th in 2015. This records an increase from the previous number of 11,249,883.475 ZAR th for 2014. South Africa Annual Salary: Mining: Female data is updated yearly, averaging 656,057.716 ZAR th from Dec 1984 (Median) to 2015, with 32 observations. The data reached an all-time high of 12,845,490.657 ZAR th in 2015 and a record low of 99,577.808 ZAR th in 1984. South Africa Annual Salary: Mining: Female 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.

Adjusted net national income per capita (annual % growth) in South Africa was reported at 5.2024 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Adjusted net national income per capita (annual % growth) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

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.

Abstract

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.

Geographic coverage

The survey had national coverage.

Analysis unit

Households

Universe

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.

Kind of data

Sample survey data

Sampling procedure

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.

Mode of data collection

Face-to-face [f2f]

Research instrument

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.

Response rate

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.

Data appraisal

All continous household income and expenditure data collected during the Income and Expenditure Survey 2010-2011 are contained in the Total IES data file. The household data file contains only categorical variables. For example, expenditure data on electricity collected with the questions in sub-section 5.7 of the questionnaire will be found in the "Total_IES" data file under the COICOP codes 04511010, 04511110, 04404500. This is explained under "Data Organisation" on page 6 of the metadata record for the IES 2010 2011, which documents how the data files are organised and the variables in each data file.

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.

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.

South Africa ZA: Income Share Held by Highest 20% data was reported at 68.200 % in 2014. This records a decrease from the previous number of 68.900 % for 2010. South Africa ZA: Income Share Held by Highest 20% data is updated yearly, averaging 68.200 % from Dec 1993 (Median) to 2014, with 7 observations. The data reached an all-time high of 71.000 % in 2005 and a record low of 62.700 % in 2000. South Africa ZA: Income Share Held by Highest 20% 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.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

About this dataset

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

• White: In South Prairie, the median household income for the households where the householder is White increased by $38,105(46.18%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $82,520 in 2013 and $120,625 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in South Prairie, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in South Prairie.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for South Prairie median household income by race. You can refer the same here

About this dataset

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

• White: In South Franklin township, the median household income for the households where the householder is White decreased by $20,399(21.75%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $93,809 in 2013 and $73,410 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in South Franklin township, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

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:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in South Franklin township.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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.

Inspiration

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/.

Recommended for further 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

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.

South Africa ZA: Price to Income Ratio: sa data was reported at 92.410 2015=100 in 2023. This records a decrease from the previous number of 95.657 2015=100 for 2022. South Africa ZA: Price to Income Ratio: sa data is updated yearly, averaging 98.801 2015=100 from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 132.663 2015=100 in 2007 and a record low of 71.323 2015=100 in 1997. South Africa ZA: Price to Income Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Africa – Table ZA.OECD.AHPI: House Price Index: Seasonally Adjusted: Non OECD Member: Annual. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database.