What municipalities say about service delivery: the supply-side approach

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What municipalities say about service delivery: the supply-side approach

What municipalities say about service delivery: the supply-side approach

If you are interested in the extent of service delivery in South Africa, it might be good to know that it can be measured from two different fronts. In most instances, the extent of service delivery is measured from the demand side. Surveys such as the Population Census, Community Survey (CS) and General Household Survey   read more »


Media Release: General Household Survey (GHS) 2015

Media Release                                                                                                 2 June 2016 General Household Survey (GHS) 2015   More people continued to rely on state coffers as the percentage of individuals that benefited from social grants increased from 12,7% in 2003 to 30,1% in 2015. The percentage of households that received at least one grant increased from 29,9% to 45,5% in   read more »


Facts you might not know about social grants

Facts you might not know about social grants

Data from Stats SA’s latest Financial statistics of national government report1 provides some insights into government spending on social grants. Below are just two examples about the grant spending social welfare system in South Africa. Fact 1: For every R100 national government spends on social grants, R42 goes to family and children grants; R41 goes   read more »


Press Statement : Quest for Nodal Development: Evidence from Census 2001 and Census 2011

Press Statement                                                                                                            12 May 2016   Quest for Nodal Development: Evidence from Census 2001 and Census 2011 (Report No. 03-10-14) According to the South African Multidimensional Poverty Index (SAMPI), the number of households that were multidimensionally poor in South Africa had decreased to 8.0% by 2011 from 18.2% in 2001. The decrease   read more »


Focus of the Conference

Focus of 5th ISIbalo Conference of African Young Statisticians The Conference will also take advantage of being held in the week of 16 June 2016 to address the elusive topic of statistical leadership with young professionals as leaders of tomorrow’s statistical community.  The 16th June is a day celebrated in South Africa to commemorate brave   read more »


Media Release – Quarterly Labour Force Survey

9 May 2016   Unemployment increased in the first quarter of 2016 Employment declined by 2,2% or 355 000 in Q1: 2016, which combined with an increase in the number of unemployed persons of 521 000 resulted in an unemployment rate of 26,7%; this was 2,2 percentage points higher compared to that reported in Q4: 2015. However,   read more »


ISIbalo -4: Maths & Stats Education

Welcome to the page of ISIbalo-4: Maths, Stats & Geography Education. Maths, statistics and geography … three core subjects that form a basic foundation for the basket of disciplines required by the statistical value chain and official statistics.The history of separate development in South Africa, gave rise to an intended consequence of generations of people   read more »


Upcoming Events

Upcoming Events A number of upcoming events include: Conference of the Population Ascociation of South Africa 2016 www.populationassociationsa.co.za Africa Symposium for Statistical Development 2016 www.statssa.gov.za South African Statistical Association Conference 2016 www.sastat.org.za 5thISIbalo Conference of African Young Statisticians 2016 www.statssa.gov.za 61st World Congress of the ISI 2017 www.isi2017.org 28th International Population Conference 2017 www.iussp.org


Documents

DOCUMENTS Scientific Writing and publications, Download (PPT 7411KB) PHIA Surveys overview w Flowchart, Download (PPTX 927KB) ISIbalo PHIA intro Sally, Download (PPTX 1603KB) Collinson Data Methods and Sources Isibalo June 2016, Download (PPTX 6501KB) Writing a successful research proposal, Download (PPT 5949KB) ISIbalo training session on Presenting Data v01, Download (PPTX 8776KB) Demographic Dividend in   read more »


About Conference

5th ISIbalo Conference of African Young Statisticians  Theme: Population and Sustainable Development in Africa Pretoria, SOUTH AFRICA 13-17 June 2016 About the 5th ISIbalo Conference of African Young Statisticians  Focus of the Conference  Themes  5th Young Statisticians Program Outline 


SAM - Overview of the 1998 Social Accounting Matrix

This report provides further insight into the previously published Social Accounting Matrix, Report No. 04-03-02 (1998). Its main focus is on the income and expenditure patterns of the South African population. The aim of the report is not to give a detailed analysis or any policy simulations, but rather to give an overview of the 1998 Social Accounting Matrix that was published in November 2002.read more »


TechPaperMaritalStatus - Marital status and the South African labour market

This report examines the extent to which marital status is relevant in the South African labour market today. In addition to marital status, this report analyses participation rates and other labour market indicators in terms of three demographic variables. These are sex, age and population group.read more »


TechPaperAgeSex - The population of South Africa: An overall and demographic description of the South African population based on Census 1996

This report gives a profile of the South African population, as provided by Census 1996. In addition to the usual variables, the report provides breakdowns by age-sex groupings. read more »


LivingInSA - Living in South Africa

This report is a summary of the findings of the 1995 October Household Survey. It paints a demographic, social and economic picture of life in South Africa.read more »


EducationInSA - Education in South Africa: Selected findings from Census 96

This report examines the responses to the three education questions contained in South Africas 1996 population census. It focuses, in particular, on what the census tells us about the links between education and the characteristics of households and individuals.read more »


Great Kei

The Great Kei Local Municipality is located within the Eastern Cape province and covers an area of 1 421 km². The municipality is bounded in the east by the Great Kei River and MnqumaLocal Municipality, in the south-east by the coastline between Kwelera and Kei Mouth, in the west by the Buffalo City Metropolitan, and by the AmahlathiLocal Municipality, which is situated to the north. Source: (www.greatkeilm.gov.za)read more »


Amahlathi

Amahlathi Local Municipality is an administrative area in the Amatole District of the Eastern Cape in South Africa. Amahlati is an isiXhosa name that means “a place where many trees are grouped together, a forest”.  Forests are a key feature of the area. Source: (www.amahlathi.gov.za).

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Ngqushwa

Ngqushwa Local Municipality, located in the Eastern Cape, is bounded on the east by the Great Fish River and on the south by the Indian Ocean. The municipality is an amalgamation of two towns namely, Hamburg and Peddie. It is one of the eight municipalities that fall under the Amathole District Municipality. Source: Ngqushwa municipality website.read more »


Inkwanca

Inkwanca Local Municipality is an administrative area in the Chris Hani District of the Eastern Cape in South Africa. Inkwanca is an isiXhosa name meaning cold. The municipal area is the coldest area in the country and the lowest temperatures are recorded in the area every year. (http:// en wikipedia.org)

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Sakhisizwe

Sakhisizwe Local Municipality is an administrative area in the Chris Hani District Municipality of the Eastern Cape in South Africa. Sakhisizwe is an isiXhosa name meaning "we are building the nation" (http://en.wikipedia.org).read more »


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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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 »