Abstract

The Beijing Platform for Action which emerged from the 1995 Fourth United Nations World Conference on Women called for the development of 'suitable statistical means to recognise and make visible the full extent of the work of women and all their contributions to the national economy, including their contribution in the unremunerated and domestic sectors'. During 2000, Statistics South Africa (Stats SA) conducted the fieldwork for the first national time use study in the country. The aim of the survey was to provide information on the way in which different individuals in South Africa spend their time. Such information contributes to greater understanding of policymakers on the economic and social well-being of different societal groups. In particular, the study was intended to provide new information on the division of both paid and unpaid labour between women and men, and greater insight into less well understood productive activities such as subsistence work,casual work and work in the informal sector.

The survey thus had dual objectives: (1) improvement of concepts, methodology and measurement of all types of work and work-related activity, and (2) the feeding of information into better policy-making, with a particular focus on gender equity.

Geographic coverage

The survey had national coverage

Analysis unit

Units of analysis for the survey include households and individuals

Universe

The survey covered household members in South Africa, ten years old and above

Kind of data

Sample survey data [ssd]

Sampling procedure

The time use study sample frame was based on the frame prepared for the 1999 Survey of activities of young people (SAYP). This sample frame was based on the 1996 population census enumerator areas (EAs) and the number of households counted in the 1996 population census. The sampled population excluded all prisoners in prison, patients in hospital, people residing in boarding houses and hotels (whether temporary or semi-permanent), and boarding schools. The 16 EA types from the 1996 Population Census were condensed into four area types, or strata. The four strata were formal urban, informal urban, non-commercial farming rural, and commercial farming areas. Institution type EAs were excluded from the sample.

The EAs were explicitly stratified by province, and within a province by the four strata. The sample size (10 800 dwelling units, with 3 600 units in each of the three tranches) was disproportionately allocated to the explicit strata using the square root method. Within the strata, the EAs were ordered by magisterial district and the EA-types included in the area type (implicit stratification). Primary sampling units (PSUs) consisted of an EA of at least 100 dwelling units. Where an EA contained less than 100 dwelling units, EAs were pooled (using Kish's method of pooling) to meet this requirement. Most EAs had fewer than 100 dwelling units. The dwelling unit was taken as the ultimate sampling unit (USU).

Firstly, a two stage sampling procedure was applied. The allocated number of PSUs was systematically selected with probability proportional to size in each explicit stratum (with the measure of size being the number of dwelling units in a PSU). In each PSU, a systematic sample of 12 households was drawn.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire for the time use survey was comprised of three sections. Section one covered details of the household. Section two covered demographic details of the first person selected as a respondent in that household. Section three consisted of a Background and methodology diary in which to record the activities performed by the first person selected during the 24 hours between 4 am on the day preceding the interview and 4 am on the day of the interview. Sections four and five were for the second selected person in the household but were otherwise identical to sections two and three respectively.

The household and demographic sections of the questionnaire contained many of the standard questions of Stats SA household surveys. This was done so as to facilitate comparison across surveys. These sections also contained some additional questions on issues that would be likely to affect time use. For the household section, for example, there were questions on access to household aids such as washing machines and vacuum cleaners. In the demographic section there were questions about the presence of the respondent's young children in the household.

The diary, which forms the core instrument of a time use study, was divided into half-hour slots. Respondents were asked an open-ended question as to the activities performed during a given half-hour. These activities were then post-coded by the fieldworker according to the activity classification system (see below). The respondent could report up to three activities for each time slot. Where there was more than one activity reported for a half hour, the respondent was asked whether these activities were conducted simultaneously, or one after the other. For each recorded activity, the questionnaire also included two location codes. The first code provides for eight broadly defined locations plus the mobile activity of travel. Where the location of a particular activity could be classified as more than one of the given options, the option highest on the list took precedence. For example, a domestic worker was classified as working in someone else's dwelling rather than in a workplace. The second code distinguished between interior (inside) and exterior (outside) for the eight broadly-defined locations, and distinguished the mode of travel for all travel activity.

Cleaning operations

The data from the diary were captured in Sybase at Stats SA head office through a custom-designed data capture programme. The programme contained some in-built checks. Further checks were done manually prior to and after capture. The data were subsequently downloaded into SAS format, and the SAS programme was used for analysis.

Abstract

The Time Use Survey (TUS) is a household-based survey that measures and analyses the time spent by women and men, girls and boys, the rich and the poor, on different activities over a specified period. Statistics South Africa (Stats SA) conducts time use surveys using the 'yesterday' diary approach. A 'yesterday' diary is one in which the respondent is asked what they did for each period in the 24 hours of a day preceding the survey interview. Unlike data from other surveys, time use data reflects what activities are performed, how they are performed and how long it takes to perform such activities. Such activities include paid work, unpaid work, volunteer work, domestic work, leisure and personal activities.

Stats SA conducted the first TUS in 2000 and the second one in 2010. The TUS aims to provide information on the division of both paid and unpaid labour between women and men, shed light on the reproductive and leisure activities of household members, and provide information about less well-understood productive activities such as subsistence work, casual work and work in the informal sector. Therefore, TUS surveys can be used for gender policy analysis in relation to employment and unemployment, services for children, the elderly and people with disabilities, and provision of basic household services such as electricity and water that obviate the need for manual collection of fuel and water for household use.

Geographic coverage

The survey has national coverage

Analysis unit

Households and individuals

Universe

The TUS sample covered the non-institutional population aged 10 years and above excluding those living in worker hostels - thus representing an estimated 39,9 million people.

Kind of data

Sample survey data

Sampling procedure

The Time Use Survey (TUS) utilised the frame developed as a general-purpose household survey frame that can be used by all other household surveys irrespective of the sample size of the survey. The sample size for the TUS is roughly 30 000 dwellings.The sample is based on information collected during the 2001 Population Census conducted by Stats SA. In preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA's household-based surveys use a master sample of primary sampling units (PSUs) which comprises EAs that are drawn from across the country. The sample is designed to be representative at provincial level and within provinces at metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, rural formal and tribal areas.

The current sample size is 3 080 PSUs divided equally into four subgroups or panels called rotation groups. The rotation groups are designed in such a way that each of these groups has the same distribution pattern as that which is observed in the whole sample. They are numbered from one to four and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group. The sample for TUS is based on 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.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire for the TUS is comprised of five sections:

Section 1 - details of all household members Section 2 - demographic details of the two selected individuals in a household Section 3 - economic activities of the two selected individuals in a household Section 4 - main work activity of the two selected individuals in a household Section 5 - recorded activities performed by the selected person in a household (diary)

The diary was divided into half-hour slots. Respondents were asked an open-ended question as to the activities performed during a given half-hour. These activities were then post-coded by the fieldworker according to the activity classification system.The respondent could report up to three activities for each time slot. Where there was more than one activity reported for a half hour, the respondent was asked whether these activities were done simultaneously, or one after the other.

The questionnaire includes two location codes for each recorded activity. The first code provides for eight broadly-defined locations plus the mobile activity of travel. Where the location of a particular activity could be classified as more than one of the given options, the option highest on the list took precedence. The second code distinguished whether the activity was done inside or outside for the eight broadly-defined locations, and distinguished the mode of travel for all travel activity.

Data appraisal

Question 1.4 in the questionnaire for the Time Use Survey 2010 is about the travel distance for wood/dung collection. It has six response options. Option 6 (Not Applicable) would be for the households not relying on wood/dung for fuel. However, the corresponding variable in the data file "Q14FarWood" has seven choices, including 'Other', which has quite significant number of responses (720 households). And these 'Other' households still have responses for Q1.5 about 'who's collecting wood/dung'. So they cannot relate to missing responses. It is not clear what this "Other" response category is and Statistics SA has been approached for further information.

Censuses are principal means of collecting basic population and housing statistics required for social and economic development, policy interventions, their implementation and evaluation.The census plays an essential role in public administration.
The results are used to ensure:
• equity in distribution of government services
• distributing and allocating government funds among various regions and districts for education and health services
• delineating electoral districts at national and local levels, and
• measuring the impact of industrial development, to name a few
The census also provides the benchmark for all surveys conducted by the national statistical office. Without the sampling frame derived from the census, the national statistical system would face difficulties in providing reliable official statistics for use by government and the public. Census also provides information on small areas and population groups with minimum sampling errors. This is important, for example, in planning the location of a school or clinic. Census information is also invaluable for use in the private sector for activities such as business planning and market analyses. The information is used as a benchmark in research and analysis.

Census 2011 was the third democratic census to be conducted in South Africa. Census 2011 specific objectives included:
- To provide statistics on population, demographic, social, economic and housing characteristics;
- To provide a base for the selection of a new sampling frame;
- To provide data at lowest geographical level; and
- To provide a primary base for the mid-year projections.

United States AHE: sa: PW: EH: Offices of Specialty Therapists data was reported at 33.440 USD in Mar 2025. This records a decrease from the previous number of 33.480 USD for Feb 2025. United States AHE: sa: PW: EH: Offices of Specialty Therapists data is updated monthly, averaging 21.160 USD from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 33.480 USD in Feb 2025 and a record low of 10.930 USD in Jan 1990. United States AHE: sa: PW: EH: Offices of Specialty Therapists data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G076: Current Employment Statistics: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

As of 2023/2024, the highest number of commercial crime offenses recorded by the South African police was in the Midrand location, which is located in the province of Gauteng. The number of offenses in this station amounted to over ***** offenses. Sandton in Gauteng came in second, with ***** offenses.

United States AHE: sa: PW: EH: Offices of All Other Health Practitioners data was reported at 32.020 USD in Mar 2025. This records an increase from the previous number of 31.960 USD for Feb 2025. United States AHE: sa: PW: EH: Offices of All Other Health Practitioners data is updated monthly, averaging 18.280 USD from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 32.020 USD in Mar 2025 and a record low of 10.180 USD in Mar 1990. United States AHE: sa: PW: EH: Offices of All Other Health Practitioners data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G076: Current Employment Statistics: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

Employment, unemployment and economic inactivity levels and rates by age group, UK, rolling three-monthly figures, seasonally adjusted. Labour Force Survey. These are official statistics in development.

Abstract

Marriage data: In South Africa Civil Marriages are administered through the Marriage Act, 1961 (Act No. 25 of 1961) as amended, and its associated regulations. Customary marriages are governed by the Recognition of Customary Marriages Act, 1998 (Act No. 120 of 1998) which came into effect on 15 November 2000. Civil unions (relationships between same-sex couples that are legally recognized by a state authority) are covered by the Civil Union Act, 2006 (Act No. 17 of 2006) which came into operation on 30 November 2006.

The South African Department of Home Affairs is responsible for the administration of marriages in South Africa, under these laws. After the ceremony of a marriage or a civil union, the marriage officer submits the data to the nearest office of the Department of Home Affairs (DHS), where the marriage / civil union details for citizens and permanent residents are recorded in the National Population Register (NPR). Statistics South Africa obtains data on marriages and civil unions from DHA through the State Information Technology Agency (SITA) for this dataset.

NOTE: In customary marriages, the two spouses and their witnesses present themselves at a DHA office in order to register a customary marriage. Therefore the province of registration is not necessarily the province of the place of usual residence of the couple since the registration of the marriage can take place in any DHA office.

Divorce data: The dissolution of registered marriages and civil unions is governed by the Divorce Act, 1979 as amended, and its associated regulations (Act No.70 of 1979) and the Jurisdiction of Regional Courts Amendment Act, 2008 (Act No. 32 of 2008) as amended which came into effect on 9 August 2010. The South African Department of Justice and Constitutional Development (DJCD) is responsible for managing divorces under these Acts. Statistics South Africa obtains the divorce data from the DJCD for this dataset.

NOTE: The data includes divorce applications that were concluded in 2015, that is, that were finalised and issued with decrees of divorce in 2015 by DJCD.

Geographic coverage

The data has national coverage.

Analysis unit

Individuals

Universe

The data covers all civil marriages that were recoreded by the Department of Home Affairs and all divorce applications that were granted by the Department of Justice and Constitutional Development in 2015 in South Africa.

Kind of data

Administrative records

Mode of data collection

Other

Data appraisal

Geography is problematic in this dataset as not all the data files have geographic data. The Civil Marriages and Civil Unions data files include a Province of Registration variable but the Customary Marriages data file does not. There is also no geographical data in the Divorces file. As this data file includes divorce data from only a subset of divorce courts, this lack of geographical information compromises its usability.

Abstract

Marriages data Statistics South Africa (Stats SA) publishes marriage data on citizens and permanent residents that are collected through the national civil registration systems. The data in this dataset is based only on registered marriages and divorces that are stipulated and governed by the country’s legal frameworks. The management of registered marriages is the responsibility of the Department of Home Affairs (DHA). Two main legislations cover the registration of civil marriages and customary marriages. Civil marriages are administered through the Marriage Act, 1961 (Act No. 25 of 1961) as amended, and its associated regulations. Customary marriages are governed by the Recognition of Customary Marriages Act, 1998 (Act No. 120 of 1998) that came into effect on 15 November 2000. An additional legislation is the registration of civil unions - relationships between same-sex couples that are legally recognized by a state authority. These unions are covered by the Civil Union Act, 2006 (Act No. 17 of 2006) that came into operation on 30 November 2006. After the solemnisation ceremony of a marriage or a civil union, the marriage officer submits the marriage /civil union register to the nearest office of the DHA, where the marriage / civil union details are recorded in the National Population Register (NPR). With respect to customary marriages, the two spouses and their witnesses present themselves at a DHA office in order to register a customary marriage. Hence the province of registration is not necessarily the province of the place of usual residence of the couple since the registration of the marriage can take place in any DHA office. Statistics South Africa obtains data on marriages and civil unions in digital format from DHA through the State Information Technology Agency (SITA) and the Marriages and Divorces 2010 dataset is compiled from this data.

Divorces data The dissolution of registered marriages and civil unions falls under the jurisdiction of the Department of Justice and Constitutional Development (DoJ&CD). This responsibility of the department is mandated through the Divorce Act, 1979 as amended, and its associated regulations (Act No.70 of 1979) and the Jurisdiction of Regional Courts Amendment Act, 2008 (Act No. 31 of 2008) as amended which came into effect on 9 August 2010.

The divorces data file only provides 2010 data on divorces from civil marriages. It is limited in its usability by this and by the fact that the data is on divorces that were granted in 2010 by the Department of Justice and Constitutional Development at 12 of the 62 divorce courts mandated to deal with divorce cases in South Africa. The lack of geographical data in the dataset also compromises its usability.

Geographic coverage

The Marriages and Divorces 2010 has national coverage.

Analysis unit

The units of anaylsis for the Marriages and Divorces 2010 are individuals.

Kind of data

Administrative records data [adm]

Mode of data collection

Other [oth]

Economic inactivity (aged 16 to 64 years ) by reason (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households. These are official statistics in development.

In 2020, the box office revenue generated in Nigeria decreased by ** percent compared to 2019. Similarly, South Africa's box office dropped by ** percent. Due to the coronavirus (COVID-19) pandemic, cinemas had to close. In Nigeria, they reopened in September 2020. Similarly, in South Africa movie theaters were closed for five months, after the country introduced a hard lockdown in March 2020.

Provides the number and value of dwelling units approved by sector (public/private) and by state, number and value of new houses, new other residential dwelling units approved by type of building, and the number and value of non-residential building jobs approved by type of building (i.e. by function such as 'retail and wholesale trade', 'offices') and value ranges. State data includes the number of private sector houses approved; number and value of new other residential dwellings by type of building such as flats, units or apartments in a building of one or two storeys; number and value of non-residential building jobs by type of building and sector; and for Greater Capital City Statistical Areas, the total number of dwelling units approved broken down by Houses, Dwellings Excluding Houses and Total Dwelling Units. Seasonally adjusted and trend estimates by state are included for the number of dwelling units and value of building approved. The quarterly value of building approved is shown in chain volume measure terms. Small geographic area data cubes are presented for Statistical Areas Level 2 and Local Government Areas. Small area data cubes will be released in an "Additional information" release five business days after the main publication.

Abstract

Marriage data: In South Africa Civil Marriages are administered through the Marriage Act, 1961 (Act No. 25 of 1961) as amended, and its associated regulations. Customary marriages are governed by the Recognition of Customary Marriages Act, 1998 (Act No. 120 of 1998) which came into effect on 15 November 2000. Civil unions (relationships between same-sex couples that are legally recognized by a state authority) are covered by the Civil Union Act, 2006 (Act No. 17 of 2006) which came into operation on 30 November 2006.

The South African Department of Home Affairs is responsible for the administration of marriages in South Africa, under these laws. After the ceremony of a marriage or a civil union, the marriage officer submits the data to the nearest office of the Department of Home Affairs (DHS), where the marriage / civil union details for citizens and permanent residents are recorded in the National Population Register (NPR). Statistics South Africa obtains data on marriages and civil unions from DHA through the State Information Technology Agency (SITA) for this dataset.

NOTE: In customary marriages, the two spouses and their witnesses present themselves at a DHA office in order to register a customary marriage. Therefore the province of registration is not necessarily the province of the place of usual residence of the couple since the registration of the marriage can take place in any DHA office.

Divorce data: The dissolution of registered marriages and civil unions is governed by the Divorce Act, 1979 as amended, and its associated regulations (Act No.70 of 1979) and the Jurisdiction of Regional Courts Amendment Act, 2008 (Act No. 32 of 2008) as amended which came into effect on 9 August 2010. The South African Department of Justice and Constitutional Development (DJCD) is responsible for managing divorces under these Acts. Statistics South Africa obtains the divorce data from the DJCD for this dataset.

NOTE: The data includes divorce applications that were concluded in 2014, that is, that were finalised and issued with decrees of divorce in 2014 by DJCD.

Geographic coverage

The data has national coverage.

Analysis unit

Individuals

Universe

The data covers all civil marriages that were recoreded by the Department of Home Affairs and all divorce applications that were granted by the Department of Justice and Constitutional Development in 2014 in South Africa.

Kind of data

Administrative records

Mode of data collection

Other

Data appraisal

Geography is problematic in this dataset as not all the data files have geographic data. The Civil Marriages and Civil Unions data files include a Province of Registration variable but the Customary Marriages data file does not. There is also no geographical data in the Divorces file. As this data file includes divorce data from only a subset of divorce courts, this lack of geographical information compromises its usability.

Educational status and labour market status of people aged 16 to 24 years, by sex, in and out of full-time education, UK, rolling three-monthly figures published monthly, seasonally adjusted. Labour Force Survey. These are official statistics in development.

Actual weekly hours worked including by sex, full-time, part-time and second jobs, UK, rolling three-monthly figures published monthly, seasonally adjusted. Labour Force Survey. These are official statistics in development.

As of January 2024, the number of domestic banks registered in South Africa amounted to **, while there were ** local branches of foreign banks. Furthermore, some ** foreign banks had approved representative offices in the country.

Unemployment by age and duration (seasonally adjusted). These estimates are sourced from the Labour Force Survey, a survey of households. These are official statistics in development.

United States AHE: sa: PW: EH: Offices of Physicians data was reported at 43.250 USD in Mar 2025. This records an increase from the previous number of 42.910 USD for Feb 2025. United States AHE: sa: PW: EH: Offices of Physicians data is updated monthly, averaging 17.940 USD from Jan 1982 (Median) to Mar 2025, with 519 observations. The data reached an all-time high of 43.250 USD in Mar 2025 and a record low of 7.030 USD in Feb 1982. United States AHE: sa: PW: EH: Offices of Physicians data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G076: Current Employment Statistics: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

Suburb-based crime statistics for crimes against the person and crimes against property. The Crime statistics datasets contain all offences against the person and property that were reported to police in that respective financial year. The Family and Domestic Abuse-related offences datasets are a subset of this, in that a separate file is presented for these offences that were flagged as being of a family and domestic abuse nature for that financial year. Consequently the two files for the same financial year must not be added together. Data is point in time.

In 2024, South Australia had a total of *** public EV charging locations. These included ** fast charging facilities and ** ultrafast charging stations.