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Government spending breaches R2 trillion

Government spending breaches R2 trillion

South African government spending broke the R2 trillion mark in the 2020/21 financial year. Large increases in expenditure were recorded for social protection, health, and general public services as the country battled the COVID-19 pandemic. At the same time, total revenue declined on the back of lower taxes received. The Financial statistics of consolidated general government   read more »


Government finances: Social spending jumped in 2020/21

Government finances: Social spending jumped in 2020/21

The 254 institutions known as extra-budgetary accounts and funds (EBAs) form an important arm of government. Financial data for 2020/21 (1 April to 31 March) show a sharp rise in EBA spending as government rushed to mitigate the impact of the pandemic. Much of the increase was on social benefits, mainly for the COVID-19 Temporary   read more »


Increase in number of out-of-school children and youth in SA in 2020

Increase in number of out-of-school children and youth in SA in 2020

In 2021, close to 3% of 15-year-olds and nearly 9% of 17-year-olds dropped out of school. The General Household Survey, 2021, released by Statistics South Africa, indicates that although most 18- and 19-year-olds were still attending secondary school, almost three out of 10 pupils aged 18 years (29,3%) and 4 out of 9 (46,3%) of   read more »


What do South African households look like?

What do South African households look like?

In 2021, South Africa had a population of approximately 60,5 million people. Although some South Africans resided in institutions such as hospitals and old age homes, SA had an estimated 18 million households, with an average household size of 3,34 persons. A quick glance at the General Household Survey, 2021 (GHS) released by Statistics South   read more »


Pre-lockdown business profits fall to their lowest level in 14 years

Pre-lockdown business profits fall to their lowest level in 14 years

Net profit before tax in the formal business sector tumbled by 33,4% in the financial year 2020 compared with 2019, with business services and manufacturing the hardest hit. The data, from Stats SA’s latest Annual financial statistics (AFS) survey1 , which mostly covers the period before the lockdown, show that total net profit before tax   read more »


A new and improved GDP is here!

A new and improved GDP is here!

Stats SA has finalised a comprehensive overhaul of its national accounts. The latest gross domestic product (GDP) rebasing and benchmarking exercise has resulted in an upward revision in the size of the economy, as well as changes to the composition of the supply and demand sides of economic activity. Remaining relevant is key Any statistical   read more »


Municipal dependence on national government financing

Municipal dependence on national government financing

What makes Stats SA’s Financial census of municipalities report so interesting is that it provides an idea of how financially dependent municipalities are on national government. The latest data show that the share of income that municipalities generate on their own has increased slightly since 2017, but there is more to this finding than meets   read more »


An update on municipal finances for the quarter ending June 2020

An update on municipal finances for the quarter ending June 2020

Even though South Africa’s 257 municipalities increased their spending in the quarter ended June 2020, the rise was slower than increases recorded in previous quarters. Spending increases by 4,6% Local government spent R105,9 billion in the quarter ended June 2020, up by R4,6 billion (or 4,6%) compared with the quarter ended June 2019, according to the latest   read more »


An update to municipal spending and revenue (March 2020)

An update to municipal spending and revenue (March 2020)

Local government increased spending by 12,2% over the last year, driven largely by increased spending on employee costs. South Africa’s 257 municipalities spent R96,8 billion in the quarter ended March 2020 on operational costs, up from R86,3 billion in the quarter ended March 2019. This excludes capital spending. The latest Quarterly financial statistics of municipalities report shows   read more »


HOW UNEQUAL IS SOUTH AFRICA?

HOW UNEQUAL IS SOUTH AFRICA?

South Africa is known as one of the most unequal countries in the world, reporting a per-capita expenditure Gini coefficient of 0,67 in 2006, dropping to 0,65 in 2015. This is according to the Inequality Trends in South Africa report released by Stats SA. According to the Palma ratio, the top 10% of the population   read more »


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Baviaans

The Baviaans Municipality covers an area of 8 005,41 square kilometers with two urban nodes, namely Willowmore and Steytherville.  Willomore serves as the administrative hub of the area where local departments are situated. The area is scarcely populated (0–100 people per square kilometers).

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Kouga

Kouga Local Municipality is situated in the Cacadu District Municipality in the Eastern Cape province, on the south-eastern coast of South Africa. The major towns that fall within the municipality include Humansdorp, Jeffreys Bay and Hankey.read more »


Kou-Kamma

Kou-Kamma Local Municipality is situated in the Cacadu District Municipality alongside the coast of the Indian Ocean in the south-western area of the Eastern Cape province. Kou-Kamma spans 35 575 km2 and neighbours the Baviaans Local Municipality in the north, and the Kouga Local Municipality to the east.

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Mbhashe

The Mbhashe municipality is situated in the south eastern part of the Eastern Cape Province, and is bound by the Qhora River in the south to Mncwasa River in the north along the Indian Ocean. Mbhashe has earned the name from the fast-flowing river called Mbhashe which flows from the banks of eNgcobo. Mbhashe municipality comprises the three towns of Idutywa, Gatyana, Xhora and numerous rural settlements. Source:  (www.mbhashemun.gov.za).

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Mnquma

Mnquma Local Municipality is located in the south eastern part of the Eastern Cape province.  It is a category B municipality falling under the jurisdiction of the Amathole District Municipality and comprises of an amalgamation of the former Butterworth, Ngqamakhwe and Centane Tribal Regional Councils (TRC’s). Mnquma Local Municipality shares borders with three other local municipalities i.e. Mbhashe, Intsika Yethu and Great Kei Municipality. It is approximately 32 995 240 square kilometres and consists of 31 wards. (http://www.mnquma.gov.za/)read more »


Unemployment

Employment is a key economic indicator and it is sensitive to the business cycle. For example employment peaked in 2008 to approximately 13,8 million when the economy was better. However, during the recession of 2009 and 2010 approximately 806 000 persons lost their jobs. After these two successive years of decline, employment grew by 204 000 and 258 000 persons in 2011 and 2012 respectively. Community & social services industry contributed the most to the growth in employment observed in the past two years. This was followed by Finance and other business services.read more »


Crime statistics

  Crime prevention and ultimate elimination is one of the priority goals of the National Development Plan (NDP). Crime affects all people irrespective of their background, and it is a topic that attracts a lot of media attention. Analysis will show that some groupings are affected by certain types of crime more than others. Crime statistics are essential in order to understand the temporal and spatial dynamics of crime. Such understanding is vital for planning targeted interventions and assessing progress made towards achieving a crime free nation where "people living in South Africa feel safe at home, at school and at work, and they enjoy a community life free of fear. Women walk freely in the streets and children play safely outside". There are two major sources of crime statistics in South Africa, namely the South African Police Service (SAPS) and Statistics South Africa (Stats SA). The other smaller sources such as the Institute for Security Studies (ISS) and the Medical Research Council (MRC) are by no means insignificant, as they provide statistics for types of crime not adequately covered by the major players, such as domestic violence. While the methodologies used by the SAPS and Stats SA are very different, the two institutions produce crime statistics that complement each other. The SAPS produces administrative data of crime reported to police stations by victims, the public and crime reported as a result of police activity. Stats SA produces crime statistics estimated from household surveys. Crimes reported to the SAPS do not always have the same definitions as crime statistics produced from VOCS. In addition, not all crimes reported by the SAPS are reported by VOCS and vice versa. Working in close collaboration with Stats SA, the South African Police Service has undertaken to align its Classification of Crime for Statistical Purposes (CCSP) to the International Classification of Crime for Statistical Purposes (ICCS). Highlights of the 2017/18 Victims of Crime report Aggregate crime levels increased in 2017/18 compared to 2016/17. It is estimated that over 1,5 million incidences of household crime occurred in South Africa in 2017/18, which constitutes an increase of 5% compared to the previous year. Incidences of crime on individuals are estimated to be over 1,6 million, which is an increase of 5% from the previous year. Aggregate household crime levels increased in Free State, KwaZulu-Natal, North West, Gauteng and Mpumalanga. Individual crime levels increased in Free State, North West and Gauteng. North West experienced a drastic increase of 80% in the individual crime level. Perceptions of South Africans on crime in 2017/18 were more skeptical compared to the previous year. About 42% thought property crime increased during the past three years. This is an increase of 6,9% from the previous year. 46% thought violent crime increased during the past three years, an increase of 4,5% over the previous year. Western Cape was the most skeptical about crime trends, as 84% of Western Cape residents thought that crime in South African increased or stayed the same. Mpumalanga was the least skeptical among the nine provinces, where 65% thought that crime increased or stayed the same during the past three years. Crimes that are feared most are those that are most common. An estimated 79% of South Africans felt safe walking alone in their neighbourhoods during the day, which is a decrease of 6,7% from last year. About 32% of South Africans felt safe walking alone in their neighbourhoods at night, constituting an increase of 8% from last year. The highlights for household and individual experiences of crime from the 2016/17 VOCS report are as follows:  read more »


Gender Statistics

South Africa has a history of exclusion and discrimination on all kinds of grounds, such as race and gender. For this reason we have developed one of the most inclusive constitutions in the world, with a Bill of Rights that specifically refers to equal treatment for all regardless of race, age, disability status, socio-economic status and gender (Section 9). Legislation – such as the Employment Equity Act of 1998 – has facilitated access to formal employment for women, where employers are legally required to work towards more equitable representation based on gender, race and disability. Our National Development Plan 2030 envisions an inclusive society and economy, free from unequal opportunities through capacity building, redress and increased interaction. Through a combination of legislation, monitoring and accountability, significant progress has been made in this regard, especially in the public sector. For example, the percentage of women in senior management positions in the public service increased from 13% in 1998 to 42% in 2017. Gender and gender statistics are not just about women. Whereas the term sex refers to a biological male/female classification, the word gender connotes more than that. It encapsulates social and cultural differences, and also includes how an individual views him-/herself. The term “gender role” relates to society’s concept of how men and women are expected to act. Gender stereotypes form the basis of sexism, or the prejudiced beliefs that value males over females or vice versa. Gender inequality refers to the unequal treatment and/or perceptions of inequality of men in relation to women or vice versa. Even though there are instances where discrimination occurs against men, more often than not women are at a disadvantage. This is manifested in, for example, preferential access to work and/or certain jobs for men, unequal pay for equal work, bullying, domination and violence against women, selective abortion of female children, and preferential household expenditure on boys’ education. While great strides have been made towards equality for women, there still remains great challenges; there is a need for continued measurement and policy and programmatic interventions. In addition to monitoring progress with regard to the situation of men and women, an understanding of gender gaps in the following key areas will move the agenda of leaving no one behind forward: Market participation – Equal representation of both sexes in the labour force is important; gender equality allows for an increase in the number of women participating in the work force, which expands the labour force and can contribute towards increased economic productivity and growth. Resource equity – Indicators of men’s and women’s asset ownership and control are important measures used to monitor gender equality. This is achieved when people are able to access and enjoy the same rewards, resources and opportunities regardless of whether they are male or female. Women’s ownership of and control over resources is one of the key elements of empowerment. Governance – Gender equality in positions of decision-making, as well as political representation, are important not only from an empowerment perspective, but also to ensure that issues affecting women are considered during policy formulation, planning and programme/project implementation. Stats SA publishes a wide range of statistics in various reports and publications, highlighting the challenges experienced by women and men in South Africa as measured through household surveys and censuses conducted by Stats SA, as well as other sources.read more »


Poverty

Poverty is a key development challenge in social, economic and political terms; not only in South Africa but throughout the developing world. In post-apartheid South Africa, fighting the legacy of poverty and under-development has always been a central theme of Government. This was cemented in the Reconstruction and Development Plan (RDP) of 1994 and reiterated in the National Development Plan (NDP) published in 2011.

The guiding objectives of the NDP is the elimination of poverty and the reduction in inequality and all the elements of the plan must demonstrate their effect on these two objectives. The Living Conditions Survey (LCS) and the Income and Expenditure Survey (IES) conducted by Stats SA are the two primary contributors toward profiling and monitoring poverty and inequality over time.

These two surveys are fundamental components to the survey programme of any statistical agency. They are the leading tools for the measurement of absolute poverty and inequality and they are an extremely important building block for the Consumer Price Index (CPI) to stay current with the changing spending and consumption patterns of the country.

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Work & Labour Force

There are different forms of work, these include work as employment (work to generate income), unpaid work which includes volunteer work and domestic work for own final household consumption. Statistics South Africa measures all forms of work including work which should be abolished like child labour.

Work as employment is measured from two sources, establishment surveys and household based surveys. The Quarterly Employment Survey (QES) is establishment based while The Quarterly Labour Force Survey (QLFS) is a household based survey. The two sources differ in coverage, scope, unit of measurement and method of collection. Because of these differences, the two sources yield different figures. However, the two sources should be regarded as complementary rather than competitive.

Each source has advantages and limitations in terms of statistics yielded. The QES covers non-agricultural formal sector employment while the QLFS covers total employment in all industries and sectors. The QLFS can also provide information on demographic characteristics of the labour force (employment and unemployment) which the QES cannot provide.

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