The unemployment rate in South Africa stood at 33.17 percent in 2024. Between 1991 and 2024, the unemployment rate rose by 10.17 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

In the second quarter of 2024, the unemployment rate among Black South Africans was 36.9 percent, marking a year-on-year change of 0.8 percent compared to the second quarter of 2023. On the other hand, the unemployment rate among white South Africans was 7.9 percent in the second quarter of 2024, with a 0.5 percent year-on-year change. Unemployment prevalent among youth and women The unemployment rate is the share of the labor force population that is unemployed, while the labor force includes individuals who are employed as well as those who are unemployed but looking for work. South Africa is struggling to absorb its youth into the job market. For instance, the unemployment rate among young South Africans aged 15-24 years reached a staggering 60.7 percent in the second quarter of 2023. Furthermore, women had higher unemployment rates than men. Since the start of 2016, the unemployment rate of women has been consistently more than that of men, reaching close to 36 percent compared to 30 percent, respectively. A new minimum wage and most paying jobs      In South Africa, a new minimum hourly wage went into effect on March 1, 2022. The minimum salary reached 23.19 South African rand per hour (1.44 U.S. dollars per hour), up from 21.69 South African rand per hour (1.35 U.S. dollars per hour) in 2021. In addition, the preponderance of employed South Africans worked between 40 and 45 hours weekly in 2021. Individuals holding Executive Management and Change Management jobs were the highest paid in the country, with salaries averaging 74,000 U.S. dollars per year.

Unemployment Rate in South Africa increased to 32.90 percent in the first quarter of 2025 from 31.90 percent in the fourth quarter of 2024. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In the fourth quarter of 2024, the unemployment rate in South Africa was 27.2 percent among workers aged 35 to 44 years. The figure decreased from 27.7 percent in the same quarter of the previous year. This age group corresponded to the largest share of the labor force participation in the country. Among young South Africans (15 to 24 years), the unemployment rate was at its highest, at 59.6 percent.

Graph and download economic data for Unemployment Rate - Black or African American (LNS14000006) from Jan 1972 to Jun 2025 about African-American, 16 years +, household survey, unemployment, rate, and USA.

In 2019, Unemployment Rate for Men with Basic Education in South Africa jumped by 7.3points from a year earlier.

Abstract

The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (StatsSA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa. Since 2008, StatsSA have produced an annual dataset based on the QLFS data, "Labour Market Dynamics in South Africa". The dataset is constructed using data from all four QLFS datasets in the year. The dataset also includes a number of variables (including income) that are not available in any of the QLFS datasets from 2010.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

The QLFS sample covers the non-institutional population except for those in workers' hostels. However, persons living in private dwelling units within institutions are enumerated. For example, within a school compound, one would enumerate the schoolmaster's house and teachers' accommodation because these are private dwellings. Students living in a dormitory on the school compound would, however, be excluded.

Kind of data

Sample survey data [ssd]

Sampling procedure

Each year the LMDSA is created by combining the QLFS waves for that year and then including some additional variables. The QLFS master frame for this LMDSA was based on the 2011 population census by Stas SA. The sampling is stratified by province, district, and geographic type (urban, traditional, farm).

There are 3324 PSUs drawn each year, using probability proportional to size (PPS) sampling. In the second stage Dwelling Units (DUs) are systematically selected from PSUs. The 3324 PSU are split into four groups for the year, and at each quarter the DUs from the given group are replaced by substitute DUs from the same PSU or the next PSU on the list (in the same group). It should be noted that the sampling unit is the dwelling, and the unit of observation is the household. Therefore, if a household moves out of a dwelling after being in the sample for, two quarters and a new household moves in, the new household will be enumerated for two more quarters until the DU is rotated out. If no household moves into the sampled dwelling, the dwelling will be classified as vacant (or unoccupied).

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire consists of the following sections: - Particulars of each person in the household - Economic activities in the last week for persons aged 15 years - Unemployment and economic inactivity for persons aged 15 years - Main work activity in the last week for persons aged 15 years - Earnings in the main job for employees, employers and own-account workers aged 15 years - Migration for all persons aged 15 years

Response rate

For more information see the statistical release that accompanies the data.

Data appraisal

The statistical release notes that missing values were "generally imputed" for item non-response but provides no detail on how Stats SA did so.

The youth unemployment rate in South Africa amounted to 60.89 percent in 2024. Between 1991 and 2024, the youth unemployment rate rose by 18.22 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

Abstract

The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

The QLFS sample covers the non-institutional population of South Africa with one exception. The only institutional subpopulation included in the QLFS sample are individuals in worker's hostels. Persons living in private dwelling units within institutions are also enumerated. For example, within a school compound, one would enumerate the schoolmaster's house and teachers' accommodation because these are private dwellings. Students living in a dormitory on the school compound would, however, be excluded.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Quarterly Labour Force Survey (QLFS) uses a master sample frame which has been developed as a general-purpose household survey frame that can be used by all other Stats SA household surveys that have reasonably compatible design requirement as the QLFS. The 2013 master sample is based on information collected during the 2011 population Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103 576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the master sample since they covered the entire country and had other information that is crucial for stratification and creation of PSUs. There are 3 324 primary sampling units (PSUs) in the master sample with an expected sample of approximately 33 000 dwelling units (DUs). The number of PSUs in the current master sample (3 324) reflects an 8,0% increase in the size of the master sample compared to the previous (2007) master sample (which had 3 080 PSUs). The larger master sample of PSUs was selected to improve the precision (smaller CVs) of the QLFS estimates.

From the master sample frame, the QLFS takes draws employing a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage. The primary stratification occurred at provincial, metro/non-metro, mining and geography type while the secondary strata were created within the primary strata based on the demographic and socio-economic characteristics of the population. For each quarter of the QLFS, a ¼ of the sampled dwellings is rotated out of the sample. These dwellings are replaced by new dwellings from the same PSU or the next PSU on the list.

For more see the release document that is distributed with the data.

Sampling deviation

It should be noted that the Quarterly Labour Force Survey (QLFS) for Quarter 1 (January to March) of 2020 data collection was disrupted when Stats SA suspended face-to-face data collection for all its surveys on 19 March 2020 as a result of the COVID-19 pandemic and restricted movement. This was to ensure that the field staff and respondents were not exposed to the risk of contracting coronavirus and to contain its spread. As a result, some dwellings (621 or 2,0% of the 30 608 sampled dwelling units) were not interviewed which otherwise would have been interviewed. To compensate for this, Stats SA made use of the fact that the design of the QLFS is such that sampled dwelling units are in the sample for four successive quarters. So, for persons in dwelling units that were not visited as a result of the lockdown, imputations were done where possible using data from the previous quarter. For respondents who were not visited in the first quarter of 2020 but had information from the fourth quarter of 2019, their responses were carried over to the first quarter of 2020.

If the person was shown as unemployed or not economically active in the last quarter of 2019, that was the status assigned to them for the first quarter of 2020. If the person was shown as employed in the fourth quarter of 2019, the imputation was somewhat more complex. This was necessitated by the fact that that there are usually temporary jobs created in the fourth quarter of each year that do not continue into the following year. Accordingly, if the person started the job that he/she held in Q4: 2019 in some previous quarter, it was assumed that the job continued into Q1: 2020. On the other hand, if the job held in Q4: 2019 had only started in that quarter, that person was treated as non-respondent in Q1: 2020.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire consists of five section: Section 1: Biographical information (marital status, language, migration, education, training, literacy, etc.) Section 2: Economic activities for persons aged 15 years and older Section 3: Unemployment and economic inactivity for persons aged 15 years and older Section 4: Main work activities in the last week for persons aged 15 years and older Section 5: Earnings in the main job for employees, employers and own-account workers aged 15 years and older

Data appraisal

COVID 19 Affected data collection for QLFS 2020 Q1. Please see the sampling section for more on this.

Youth Unemployment Rate in South Africa increased to 62.40 percent in the first quarter of 2025 from 59.60 percent in the fourth quarter of 2024. This dataset provides - South Africa Youth Unemployment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

South Africa is expected to register the highest unemployment rate in Africa in 2024, with around ** percent of the country's labor force being unemployed. Djibouti and Eswatini followed, with unemployment reaching roughly ** percent and ** percent, respectively. On the other hand, the lowest unemployment rates in Africa were in Niger and Burundi. The continent’s average stood at roughly ***** percent in the same year. Large shares of youth among the unemployed Due to several educational, socio-demographic, and economic factors, the young population is more likely to face unemployment in most regions of the world. In 2024, the youth unemployment rate in Africa was projected at around ** percent. The situation was particularly critical in certain countries. In 2022, Djibouti recorded a youth unemployment rate of almost ** percent, the highest rate on the continent. South Africa followed, with around ** percent of the young labor force being unemployed. Wide disparities in female unemployment Women are another demographic group often facing high unemployment. In Africa, the female unemployment rate stood at roughly ***** percent in 2023, compared to *** percent among men. The average female unemployment on the continent was not particularly high. However, there were significant disparities among African countries. Djibouti and South Africa topped the ranking once again in 2022, with female unemployment rates of around ** percent and ** percent, respectively. In contrast, Niger, Burundi, and Chad were far below Africa’s average, as only roughly *** percent or lower of the women in the labor force were unemployed.

Key information about South Africa Unemployment Rate

• South Africa Unemployment Rate dropped to 32.10% in Sep 2024, from the previously reported figure of 33.50% in Jun 2024.
• South Africa Unemployment Rate is updated quarterly, available from Mar 2008 to Sep 2024, with an average rate of 26.50%.
• The data reached an all-time high of 35.30% in Dec 2021 and a record low of 21.50% in Dec 2008.
• The data is reported by reported by Statistics South Africa.
• In the latest reports, South Africa Population reached 60.60 million people in Jun 2022.

Unemployment Rate in Switzerland remained unchanged at 2.70 percent in June. This dataset provides - Switzerland Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The labor force participation rate for males in South Africa saw no significant changes in 2024 in comparison to the previous year 2023 and remained at around 64.5 percent. In comparison to 2023, the rate decreased not significantly by 0.1 percentage points (-0.15 percent). Male labor force participation is the share of men over 15 years who are economically active. For example, all men providing labor in a specific period for the production of goods and services.Find more statistics on other topics about South Africa with key insights such as youth unemployment rate, labor participation rate among the total population aged between 15 and 64, and female labor force participation rate.

The unemployment rate in South Africa increased by 1.1 percentage points (+3.43 percent) in 2024 in comparison to the previous year. In total, the unemployment rate amounted to 33.17 percent in 2024. This increase was preceded by a declining unemployment rate.The unemployment rate refers to the share of the workforce that is currently not working but is actively searching for work. It does not include the economically inactive population, such as the long-term unemployed, those aged under 15 years, or retired persons.Find more statistics on other topics about South Africa with key insights such as gross tertiary enrollment ratio, youth literacy rate (people aged 15-24), and Gender Parity Index (GPI) in youth literacy.

In 2024, the youth unemployment rate in South Africa increased by 1.2 percentage points (+2.01 percent) compared to 2023. In total, the youth unemployment rate amounted to 60.89 percent in 2024. This increase was preceded by a declining youth unemployment rate.The youth unemployment rate of a country or region refers to the share of the total workforce aged 15 to 24 that is currently without work, but actively searching for employment. It does not include economically inactive persons such as full-time students or the long-term unemployed.Find more statistics on other topics about South Africa with key insights such as labor participation rate among the total population aged between 15 and 64, labor force participation rate for males, and female labor force participation rate.

Over the observed period, the unemployment rate in South Africa has increased, dropping significantly only in the second quarter of 2020. It was continuously higher among women than men, recording approximately 35.8 percent of the total labor force during the second quarter of 2024. The unemployment rate is the percentage of a country's labor force without jobs, and includes those who are available to work and are actively seeking employment.

Key information about South Africa population

• The South Africa population reached 63.0 million people in Jun 2024, compared with the previously reported figure of 62.2 million people in Jun 2023
• The data reached an all-time high of 63.0 million people in Jun 2024 and a record low of 16.4 million people in Jun 1960

• In the latest reports, South Africa Unemployment Rate dropped to 32.1 % in Sep 2024
• Monthly earnings of the South Africa population was 1,547.4 USD in Aug 2024
• South Africa Labour Force Participation Rate dropped to 60.2 % in Sep 2024

As of 2022, the female unemployment rate varied significantly across African countries. Djibouti registered the highest rate, with almost ** percent of the women in the labor force being unemployed. South Africa and Sudan followed: there, female unemployment reached around ** percent and ** percent, respectively. On the other hand, women without a job accounted for only **** percent of the female labor force in Niger.