The tabular and visual dataset focuses on South African basic education and provides insights into the distribution of schools and basic population statistics across the country. This tabular and visual data are stratified across different quintiles for each provincial and district boundary. The quintile system is used by the South African government to classify schools based on their level of socio-economic disadvantage, with quintile 1 being the most disadvantaged and quintile 5 being the least disadvantaged. The data was joined by extracting information from the debarment of basic education with StatsSA population census data. Thereafter, all tabular data and geo located data were transformed to maps using GIS software and the Python integrated development environment. The dataset includes information on the number of schools and students in each quintile, as well as the population density in each area. The data is displayed through a combination of charts, maps and tables, allowing for easy analysis and interpretation of the information.

South Africa ZA: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Total: % Cumulative data was reported at 1.179 % in 2015. South Africa ZA: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 1.179 % from Dec 2015 (Median) to 2015, with 1 observations. South Africa ZA: Educational Attainment: At Least Master's or Equivalent: Population 25+ Years: Total: % Cumulative 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: Education Statistics. The percentage of population ages 25 and over that attained or completed Master's or equivalent.; ; UNESCO Institute for Statistics; ;

Between the years 2015 to 2022, the percentage rate of individuals aged 20 years and older in South Africa who have attained 12th grade has generally been increasing from 28.3 percent to 34.6 percent. Individuals without any school education at all have decreased from five percent to 3.3 percent within the given time period.

Higher education performance indicators

South Africa ZA: Gender Parity Index (GPI): Tertiary School Enrollment: Gross data was reported at 1.412 Ratio in 2014. This records a decrease from the previous number of 1.414 Ratio for 2013. South Africa ZA: Gender Parity Index (GPI): Tertiary School Enrollment: Gross data is updated yearly, averaging 0.853 Ratio from Dec 1988 (Median) to 2014, with 10 observations. The data reached an all-time high of 1.414 Ratio in 2013 and a record low of 0.789 Ratio in 1990. South Africa ZA: Gender Parity Index (GPI): Tertiary School Enrollment: Gross 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: Education Statistics. Gender parity index for gross enrollment ratio in tertiary education is the ratio of women to men enrolled at tertiary level in public and private schools.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Actual value and historical data chart for South Africa Educational Attainment At Least Completed Post Secondary Population 25 Total Percent Cumulative

Seven USAID, The ELMA Foundation and J.P. Morgan funded South African project's data are included in this folder covering the period from 2012 to 2020: 1) Early Grade Reading Study (EGRS), 2) Reading Support Project (RSP), 3) South Africa Story Powered School Program, 4) Strengthening Teaching of Early Language and Literacy (STELLAR), 5) Teacher Assessment Resources for Monitoring and Improving Instruction for Foundation Phase (TARMII-FP), 6) Ukusiza, and 7) kaMhinga Literacy Project. Across these projects, the folder contains the following files and numbers of each: codebooks (30), consent (17), data files (98), instruments (63), and reports (5).

In 2022, approximately 76 percent of individuals aged 7 to 24 years attended educational institutions in South Africa. While Mpumalanga experienced a slight increase of 0.1 percentage points over that period, other provinces like the Northern Cape, Western Cape, and Free State experienced higher increases of 7.3, 6.4, and 5.4 percentage points, respectively.

The gross tertiary enrollment ratio in South Africa amounted to ***** percent in 2022. Between 1970 and 2022, the gross tertiary enrollment ratio rose by ***** percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

As of 2022, poor academic performance was the highest cited reason for South Africans aged seven to 18 for not attending an educational institution. Some 24 percent of South African learners aged seven to 18 dropped out for this reason. Moreover, 22 percent of learners were not attending due to having no money for fees.

Historical dataset showing South Africa education spending by year from 1996 to 2022.

In 2022, the number of children out of school in South Africa stood at 919,820 people. Between 1970 and 2022, the figure dropped by 357,610 people, though the decline followed an uneven course rather than a steady trajectory.

As of 2022, 22.3 percent of female and 25.9 percent of male South African learners aged 7 to 18 stated that poor academic performance was the main reason for dropping out and not attending educational institutions. The rate of learners not attending educational institutions due to family commitments was significantly higher among females at 12.1 percent than among males at 0.2 percent.

Actual value and historical data chart for South Africa Labor Force With Advanced Education Percent Of Total

Commuting times to schools and study places

Abstract

The Survey of Activities of Young People (SAYP) is a household-based survey that collects data on the activities of young people aged 7-17 years who live in South Africa. The survey covers involvement of children in market production activities, production for own final consumption, household chores as well as activities that children engaged in at school. Statistics South Africa collects SAYP information as part of the module of the Quarterly Labour Force Survey (QLFS) every four years. This information is gathered from respondents who are members of households living in dwellings that have been selected to take part in the QLFS and have children aged 7-17 years.

The aim of the first survey (SAYP 1999) was to collect information on childrens economic activities, including paid and unpaid work. All subsequent survey's (SAYP 2010, 2015 and 2019) are intended to provide updated information on the economic activities of children, including an analysis of child labour in South Africa. The specific objectives of the SAYP are to understand the extent of childrent's involvement in economic activities, provide information for the formulation of an informed policy to combat child labour within the country and to monitor the South African Child Programme of Action (CLPA) and Sustainable Development Goal (SDG'S).

Geographic coverage

The survey has national coverage.

Analysis unit

Households and individuals

Universe

The SAYP covers children aged 7-17 years resident in a household. The survey excluded all people in prison, patients in hospitals, people residing in boarding houses and hotels, and boarding schools. Any single person households were screened out in all areas before the sample was drawn. Families living in hostels were treated as households.

Kind of data

Sample survey data

Sampling procedure

The Survey of Activities of Young People (SAYP) comprised two stages. The first stage involved identifying households with children aged 7-17 years during the Quarterly Labour Force Survey (QLFS) data collection that took place in the third quarter of 2019 (Q3:2019). The second stage involved a follow-up interview with children in those households to establish what kind of activities they were involved in and several other aspects related to the activities they engaged in.

Mode of data collection

Face-to-face [f2f]

Research instrument

The SAYP collected data in two phases using one questionnaire.

The first phase questionnaire covered the following topics: Living conditions of the household, including the type of dwelling, fuels used for cooking, lighting and heating,water source for domestic use, land ownership,tenure and cultivation; demographic information on members of the household, both adults and children. Questions covered the age, gender and population group of each household member, their marital status, their relationships to each other, and their levels of education; migration details; household income; school attendance of children aged 5 -17 years; information on economic and non-economic activities of children aged 5-17 years in the 12 months prior to the survey

The second phase questionnaire was administered to the sampled sub-set of households in which at least one child was involved in some form of work in the year prior to the interview. It covered activities of children in much more detail than in phase one, and the work situation of related adults in the household. Both adults and children were asked to respond.

South Africa ZA: School Enrollment: Secondary: Private: % of Total Secondary data was reported at 4.187 % in 2014. This records an increase from the previous number of 4.107 % for 2012. South Africa ZA: School Enrollment: Secondary: Private: % of Total Secondary data is updated yearly, averaging 2.936 % from Dec 1999 (Median) to 2014, with 15 observations. The data reached an all-time high of 4.187 % in 2014 and a record low of 2.295 % in 2000. South Africa ZA: School Enrollment: Secondary: Private: % of Total Secondary 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: Education Statistics. Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

South Africa ZA: Government Expenditure on Education: Total: % of GDP data was reported at 5.943 % in 2016. This records a decrease from the previous number of 6.047 % for 2014. South Africa ZA: Government Expenditure on Education: Total: % of GDP data is updated yearly, averaging 5.291 % from Dec 1987 (Median) to 2016, with 25 observations. The data reached an all-time high of 6.372 % in 2012 and a record low of 4.853 % in 1989. South Africa ZA: Government Expenditure on Education: Total: % of GDP 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: Education Statistics. General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;

Actual value and historical data chart for South Africa Public Spending On Education Total Percent Of Government Expenditure

The number of South African students at the tertiary level studying abroad amounted to ****** in 2019. North America and Western Europe were the most popular destinations, with around ***** students. Latin America and the Caribbean followed with ***** South African enrollees in the same year.