1 Statistical release Mid-year population estimates 2010 Embargoed until: 20 July :30 Enquiries: Forthcoming issue: Expected release date User Information Services Tel: (012) /4892/8390 Mid-year population estimates, 2011 July 2011
2 2 Contents Summary Introduction Demographic and other assumptions National population estimates Provincial population estimates Demographic assumptions Provincial distributions Migration patterns Provincial estimates by age and sex...12 References...16 Tables Table 1: Mid-year population estimates for South Africa by population group and sex, Table 2: Mid-year population estimates by province, Table 3: Estimated number of adults receiving ART and the percentage of children receiving ART and cotrimoxazole, Table 4: HIV prevalence estimates and the number of people living with HIV, Table 5: Assumptions about fertility, life expectancy and infant mortality levels, Table 6: Mid-year estimates by population group and sex, Table 7: Estimated annual population growth rates, Table 8: Births and deaths for the period Table 9: Number of persons in need for ART, Table 10: Other HIV related estimates, Table 11: Mid-year population estimates by population group, age and sex, Table 12: Percentage distribution of the projected provincial share of the total population, Table 13: Estimated provincial migration streams ( )...13 Table 14: Provincial population estimates by age and sex, Figures Figure 1: Provincial average total fertility rates for the periods and Figure 2: Provincial average life expectancy at birth, and (males)...11 Figure 3: Provincial average life expectancy at birth, and (females)...11
3 3 Summary This release uses the cohort-component methodology to estimate the 2010 mid-year population of South Africa. The estimates cover all the residents of South Africa at the 2010 mid-year, and are based on the latest available information. Estimates may change as new data become available. For 2010, Statistics South Africa (Stats SA) estimates the mid-year population as 49,99 million. Fifty-one per cent (approximately 25,66 million) of the population is female. Gauteng comprises the largest share of the South African population. Approximately 11,19 million people (22,4%) live in this province. KwaZulu-Natal is the province with the second largest population, with 10,65 million people (21,3%) living in this province. With a population of approximately 1,10 million people (2,2%), Northern Cape remains the province with the smallest share of the South African population. Nearly one-third (31,0%) of the population is aged younger than 15 years and approximately 7,6% (3,8 million) is 60 years or older. Of those younger than 15 years, approximately 23% (3,52 million) live in KwaZulu-Natal and 19,3% (2,99 million) live in Gauteng. Migration is an important demographic process in shaping the age structure and distribution of the provincial population. For the period it is estimated that approximately people will migrate from the Eastern Cape; Limpopo is estimated to experience a net out-migration of just over people. During the same period, Gauteng and Western Cape are estimated to experience a net inflow of migrants of approximately and respectively. Life expectancy at birth is estimated at 53,3 years for males and 55,2 years for females. The infant mortality rate is estimated at 46,9 per live births. The estimated overall HIV prevalence rate is approximately 10,5%. The total number of people living with HIV is estimated at approximately 5,24 million. For adults aged years, an estimated 17% of the population is HIV positive. For 2010, this release estimates that approximately 1,6 million people aged 15 and older; and approximately children would be in need of ART. The total number of new HIV infections for 2010 is estimated at Of these, an estimated will be among children.
4 4 Table 1: Mid-year population estimates for South Africa by population group and sex, 2010 Population group Number Male Female Total Percentage of Percentage of Percentage of total total total population Number population Number population African , , ,4 Coloured , , ,8 Indian/Asian , , ,6 White , , ,2 Total , , ,0 Table 2: Mid-year population estimates by province, 2010 Population estimate Percentage share of the total population Eastern Cape ,5 Free State ,7 Gauteng ,4 KwaZulu-Natal ,3 Limpopo ,9 Mpumalanga ,2 Northern Cape ,2 North West ,4 Western Cape ,4 Total ,0 PJ Lehohla Statistician-General
5 5 1. Introduction Statistics South Africa (Stats SA) subscribes to the specifications of the Special Data Dissemination Standards (SDDS) of the International Monetary Fund (IMF) and publishes the mid-year population estimates for the country annually. This release uses the latest available software from UNAIDS. The HIV epidemic curves were derived using the Estimation and Projection Package (EPP-Version 10.0/EPP2010 Beta U). Estimates from EPP were then used as input into SPECTRUM (Version 3.49). Stats SA also used JMP script language (JSL) developed by the SAS institute Inc. 2. Demographic and other assumptions Our knowledge of the HIV epidemic in South Africa is based primarily on the prevalence data collected annually from pregnant women attending public antenatal clinics (ANC) since However antenatal surveillance data produce biased prevalence estimates for the general population because only a select group of people (i.e. pregnant women attending public health services) are included in the sample. To correct this bias we adjusted the ANC prevalence estimates by adjusting for relative attendance rates at antenatal clinics and for the difference in prevalence between pregnant women and the general adult population. For a detailed description of the adjustment see: Antiretroviral therapy (ART) for adults and children Those who become infected with HIV do not need treatment with antiretroviral drugs immediately. There is an asymptomatic period during which the body s immune system controls the HIV infection. After some time the rapid replication of the virus overwhelms the immune system and the patient is in need of antiretroviral treatment (USAID Health Policy Initiative, 2009). The WHO recommends that cotrimoxazole be provided to all children born to HIV+ mothers until their status can be determined. With normal antibody tests a child s HIV status cannot be determined until 18 months of age because the mother s antibodies are present in the child s blood. Thus all children born to HIV-positive mothers should receive cotrimoxazole until 18 months. For children aged between 18 months and 5 years the WHO recommends cotrimoxazole should be provided to all children who are HIV positive. After the age of 5 years children should be on cotrimoxazole if they have progressed to Stage III or IV. If early diagnosis is available then only HIV-positive children are considered in need of cotrimoxazole (USAID Health Policy Initiative, 2009). Table 3: Estimated number of adults receiving ART and the percentage of children receiving ART and cotrimoxazole, Adults (15+ years) Estimated number receiving ART* Estimated percentage receiving ART Children Estimated percentage receiving cotrimoxazole *Source: Health Information Epidemiology Evaluation and Research, Department of Health (November 09/Report)
6 6 Median time from HIV infection to death This release assumed the median time from HIV infection to death in line with the UNAIDS Reference Group recommendation of 10,5 years for men and 11,5 years for women. Ratio of new infections Adult HIV incidence is disaggregated into female and male incidence by specifying the ratio of new female infections to new male infections. This report assumes a ratio of female to male prevalence for those aged of 1,5 by HIV prevalence Table 4 shows the prevalence estimates and the total number of people living with HIV from 2001 to The total number of persons living with HIV in South Africa increased from an estimated 4,10 million in 2001 to 5,24 million by For 2010 an estimated 10,5% of the total population is HIV positive. Shisana, et al. (2009) estimated the HIV prevalence for 2008 at 10,9%. Approximately one-fifth of South African women in their reproductive ages are HIV positive. Table 4: HIV prevalence estimates and the number of people living with HIV, Year Population years Percentage of women Percentage of the population Percentage of the total population Total number of people living with HIV (in millions) ,7 15,4 9,4 4, ,2 15,8 9,6 4, ,4 16,1 9,8 4, ,6 16,3 9,9 4, ,7 16,5 10,0 4, ,7 16,6 10,1 4, ,7 16,7 10,2 4, ,7 16,9 10,3 5, ,6 17,0 10,3 5, ,7 17,3 10,5 5,24 International migration This release assumes an inflow of 1,3 million for the Black/Africa population since For the same period it assumes an out-migration of whites. Expectation of life at birth and Total fertility This report makes assumptions about life expectancy at birth by sex and uses a model life table of agespecific mortality rates. Stats SA used the UN East Asia model life tables. Table 5 shows the life expectancies used to generate survival ratios from the UN East Asia model life tables. It also shows the estimates of the fertility assumptions and the infant mortality rates associated with the given mortality pattern. Life expectancy at birth had declined between 2001 and 2005 but has since increased partly due to the roll-out of antiretrovirals. For 2010 life expectancy at birth is estimated at 53,3 years for males and 55,2 years for females. This increase in life expectancy at birth is expected to continue. While still high, infant mortality has declined from an estimated 57 live births per in 2001 to 47 per live births in Fertility has declined from an average of 2,86 children per woman in 2001 to 2,38 children in 2010.
7 7 Table 5: Assumptions about fertility, life expectancy and infant mortality levels, Crude birth rate Total fertility rate (TFR Male life expectancy at birth Female life expectancy at birth Infant mortality rate (IMR) Crude death rate ,43 2,86 52,7 56, , ,03 2,81 51,6 55,0 56,4 12, ,61 2,75 50,9 53,8 56,0 13, ,16 2,70 50,3 52,8 55,4 13, ,71 2,65 50,3 52,6 54,6 14, ,27 2,59 50,8 52,9 52,4 14, ,78 2,54 51,4 53,4 51,3 14, ,28 2,48 52,5 54,6 49,3 13, ,81 2,43 53,2 55,3 48,2 13, ,33 2,38 53,3 55,2 46,9 13,9 3. National population estimates Table 6 shows the mid-year estimates by population group and sex. The mid-year population is estimated at 49,99 million. The Black Africans are in the majority (39,68 million) and constitute just more than 79% of the total South African population. The white population is estimated at 4,58 million, the coloured population at 4,42 million and the Indian/Asian population at 1,30 million. Fifty-one per cent (25,66 million) of the population is female. Table 6: Mid-year estimates by population group and sex, 2010 Population group Number Male Female Total Percentage Percentage Percentage of total of total of total population Number population Number population African , , ,4 Coloured , , ,8 Indian/Asian , , ,6 White , , ,2 Total , , ,0 Table 7 shows that the implied rate of growth for the South African population has declined between 2001 and The estimated overall growth rate declined from approximately 1,40% between to 1,06% for The growth rate for females is lower than that of males. Table 7: Estimated annual population growth rates, Male 1,53 1,43 1,34 1,30 1,27 1,25 1,26 1,25 1,18 Female 1,29 1,18 1,08 1,03 1,00 0,99 1,00 1,01 0,94 Total 1,40 1,30 1,21 1,16 1,13 1,11 1,13 1,12 1,06
8 8 Selected indicators Tables 8, 9 and 10 show estimates for selected indicators 1. Table 8: Births and deaths for the period Number of births Total number of deaths Total number of AIDS deaths Percentage AIDS deaths , , , , , , , , , ,0 From the Spectrum model, the need for ART may be determined. These estimates are shown in Table 9. The need for ART has increased between 2005 and By 2010 it is estimated that approximately 1,6 million people are in need of ART. Table 9: Number of persons in need for ART, Year Adults (15+ years) Children Table 10: Other HIV related estimates, 2010 Indicator Estimate AIDS orphans 1,99 million Number of new HIV infections among adults aged New infections among children Table 11 shows the 2010 mid-year population estimates by age, sex and population group for the medium variant. Approximately one-third of the population is aged 0 14 years and approximately 7,6% is 60 years and older. 1 Births, deaths and AIDS deaths as well as the need for ART and the estimated number of orphans refer to events from July t-1 to July t. New infections refer to events during the calendar year.
9 9 Table 11: Mid-year population estimates by population group age and sex, 2010 African Coloured Indian/Asian White South Africa Age Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Total All numbers have been rounded off to the nearest hundred and may therefore lead to small differences in the overall totals by age and sex.
10 10 4. Provincial population estimates When provincial population estimates are desired and the appropriate data are available a multi-regional approach should be considered as this is the only way to guarantee that the total migration flows between regions will sum to zero (United Nations, 1992). The methods developed for this purpose by Willekens and Rogers (1978) have not been widely used in developing countries, partly due to the lack of adequate migration data and the difficulty of applying these methods. Multi-regional methods require the estimation of separate age-specific migration rates between every region of the country and every other region and such detailed data are rarely available. Although it is possible to estimate some of the missing data (see Willekens et al., 1979) the task of preparing data can become overwhelming if there are many regions. If there are only a few streams however the multi-regional method is the best method to use. In South Africa 2448 (9x8x17x2) migration streams are derived if the multi-regional model is applied in calculating migration streams by age group (17 in total) and sex for each of the nine provinces. The cohort-component approach suggested by the United Nations (United Nations, 1992) was used to undertake the provincial projections for this report. The programming was done through JMP script language (JSL). JMP was developed by the SAS Institute Inc. JMP is not a part of the SAS System though portions of JMP were adapted from routines in the SAS System particularly for linear algebra and probability calculations. Version 8.01 was used to develop the projection for the 2010 provincial mid-year estimates and used the matrix algebra approach. A detailed description of the methodology that Stats SA used for the provincial projections is available at: Demographic assumptions Figure 1 shows the provincial fertility estimates for the periods and For all the provinces it was assumed that the total fertility rates will decline, although the decline in Western Cape was much smaller and Gauteng experienced a slight increase. This was expected because the rates of these two provinces were already on low levels. Figure 1: Provincial average total fertility rates for the periods and Figures 2 and 3 show the average provincial life expectancies at birth for males and females for the periods and The assumptions for this projection were that Western Cape has the highest life expectancy at birth for both males and females; while the Free State has the lowest life expectancy at birth.
11 11 Figure 2: Provincial average life expectancy at birth, and (males) Figure 3: Provincial average life expectancy at birth, and (females)
12 Provincial distributions Table 12 shows the estimated percentage of the total population residing in each of the provinces from 2001 to The provincial estimates show that since 2004 Gauteng had the largest share of the population followed by KwaZulu-Natal and Eastern Cape. Approximately 10% of South Africa s population lives in Western Cape. Northern Cape has the smallest population. Free State has the second smallest share of the South African population, constituting approximately 6% of the population. Table 12: Percentage distribution of the projected provincial share of the total population Eastern Cape 14,3 14,2 14,1 14,0 13,9 13,9 13,8 13,7 13,6 13,5 Free State 6,1 6,1 6,0 6,0 5,9 5,8 5,8 5,7 5,7 5,7 Gauteng 21,0 21,2 21,3 21,5 21,7 21,8 21,9 22,1 22,2 22,4 KwaZulu-Natal 21,3 21,3 21,3 21,3 21,4 21,4 21,4 21,4 21,3 21,3 Limpopo 11,1 11,0 11,0 11,0 10,9 10,9 10,9 10,9 10,9 10,9 Mpumalanga 7,4 7,4 7,4 7,4 7,4 7,3 7,3 7,3 7,3 7,2 Northern Cape 2,4 2,4 2,4 2,3 2,3 2,3 2,3 2,2 2,2 2,2 North West 6,6 6,5 6,5 6,5 6,5 6,5 6,4 6,4 6,4 6,4 Western Cape 9,8 9,8 9,9 10,0 10,1 10,2 10,2 10,3 10,4 10,4 Total 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 4.3 Migration patterns From Census 2001 and the Community Survey that Stats SA undertook in 2007, it was possible to determine out-migration rates for each province. Applying these rates to the age-structures of the province, it was possible to establish migration streams between the provinces. The result of these analyses is shown in Table 13 below. Although the assumptions still implies that Gauteng and Western are the only provinces that receive migrants, the number of migrants is lower in comparison to the estimates in the 2009 release. The Eastern Cape and Limpopo experienced the largest outflow. 4.4 Provincial estimates by age and sex Table 14 shows the detailed provincial population estimates by age and sex. Where necessary the totals by age were reconciled with the national totals for males and females separately 2. Nearly one-third (31,4%) of the population is younger than 15 years and approximately 7 5% (3,7 million) is 60 years or older. Of those younger than 15 years approximately 23% (3,54 million) live in KwaZulu-Natal and 17,9% (2,78 million) live in Gauteng. The smallest province Northern Cape has nearly one-third (32%) of its population aged younger than 15 years. 2 Due to the rounding off of data in the tables to the nearest 100, the population totals by sex and age may not always correspond with the totals presented elsewhere.
13 13 Table 13: Estimated provincial migration streams, Province Province in 2011 In 2006 EC FS GP KZN LP MP NC NW WC Outmigration In-migration Net migration EC FS GP KZN LP MP NC NW WC All numbers have been rounded off to the nearest hundred and may therefore lead to small differences in the overall totals.
14 14 Table 14: Provincial population estimates by age and sex, 2010 Eastern Cape Free State Gauteng KwaZulu-Natal Limpopo Age Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Total All numbers have been rounded off to the nearest hundred and may therefore lead to small differences in the overall totals by age and sex.
15 15 Table 14: Provincial mid-year population estimates by age and sex, 2010 (concluded) Mpumalanga Northern Cape North West Western Cape All provinces Age Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total Total All numbers have been rounded off to the nearest hundred.
16 16 References Shisana, O. et al South African National HIV Prevalence, Incidence, Behaviour and Communication Survey 2008: A Turning Tide among Teenagers? HSRC Press, Cape Town. Stover, J. & Kirmeyer, S. March Demproj Version 4. A computer program for making population projections (The Spectrum system of policy models). UNAIDS Spectrum Version United Nations, Geneva, Switzerland. UNAIDS EPP Version 10.0/2009 Beta U. United Nations, Geneva, Switzerland. United Nations Preparing Migration Data for Subnational Population Projections. Department of International and Economic and Social Affairs. United Nations, New York. USAID Health Policy Initiative. March AIM: A Computer Program for Making HIV/AIDS Projections and Examining the Demographic and Social Impacts of AIDS. Willekens, F. & Rogers, A Spatial Population Analysis: Methods and Computer Programs. International Institute for Applied System Analysis. Research Report RR Laxenberg, Austria. Willekens, F., Por, A. & Raquillet, R Entropy multiproportional and quadratic techniques for inferring detailed migration patterns from aggregate data. International Institute for Applied System Analysis. Working Paper WP Laxenberg, Austria.
Statistical release Mid-year population estimates 2011 Embargoed until: 27 July 2011 10:00 Enquiries: Forthcoming issue: Expected release date User Information Services Mid-year population estimates, 2012
Statistical release Mid-year population estimates 2014 Embargoed until: 31 July 2014 11:30 Enquiries: Forthcoming issue: Expected release date User Information Services Mid-year population estimates, 2015
Statistical release Mid-year population estimates 2015 Embargoed until: 23 July 2015 10:00 Enquiries: Forthcoming issue: Expected release date User Information Services Mid-year population estimates, 2016
Figure 2.1 Number of people newly infected with HIV 4.0 3.5 3.0 M I L L I O N S 2.5 2.0 1.5 1.0 0.5 0.0 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Q&A on methodology on HIV estimates 09 Understanding the latest estimates of the 2008 Report on the global AIDS epidemic Part one: The data 1. What data do UNAIDS and WHO base their HIV prevalence estimates
UNAIDS July 2014 Methodology Understanding the HIV estimates Produced by the Strategic Information and Monitoring Division Notes on UNAIDS methodology Unless otherwise stated, findings in this report are
Business owners in SA. Who, where, how big, what they do, and a few other facts. Mike Schüssler 14 September 2012 Agenda for ABSA SME index Business owners Fact sheet Where Business are. How many years
Population, Health, and Human Well-Being-- Benin Demographic and Health Indicators Benin Sub- Saharan Africa World Total Population (in thousands of people) 1950 2,046 176,775 2,519,495 2002 6,629 683,782
Statistical release P4141 Electricity generated available for distribution (Preliminary) July 2014 Embargoed until: 4 September 2014 13:00 Enquiries: Forthcoming issue: Expected release date: User Information
The State of Youth in South Africa: A DEMOGRAPHIC PERSPECTIVE M.B. MAKIWANE Human Sciences Research Council and G.C. CHIMERE-DAN Africa Strategic Research Corporation 18 December 2009 centre for poverty
Update January 2014 Quick Start Guide for Spectrum Contents Part I. Overview of estimates and projections tools... 3 Introduction... 3 A. Purpose of estimation and projection tools... 3 B. Reference Group
Statistical release General household survey 2013 Embargoed until: 18 June 2014 13:00 Enquiries: Forthcoming issue: Expected release date User Information Services GHS 2014 May 2015 Tel.: (012) 310 8600
Road Traffic Accident Deaths in South Africa, 2001 2006: Evidence from death notification Pali Lehohla Statistician-General Report No. 03-09-07 (2001 2006) Statistics South Africa 2009 Road Traffic Accident
SUB-SAHARAN AFRICA INDICATOR REGION WORLD Demographic indicators Total population (2005) 713,457,000 6,449,371,000 Population under 18 (2005) 361,301,000 2,183,143,000 Population under 5 (2005) 119,555,000
Statistical release Mortality and causes of death in South Africa, 2011: Findings from death notification Embargoed until: 18 March 2014 10:00 Enquiries: Forthcoming issue: Expected release date User Information
E c o n o m i c & DRAFT S o c i a l A f f a i r s WORLD POPULATION IN 2300 Highlights United Nations ESA/P/WP.187 9 December 2003 DRAFT Department of Economic and Social Affairs Population Division WORLD
. European Union (a) Past trends The total fertility rate in the 15 countries that presently constitute the European Union was on a rising curve until 196-65, when it attained 2.69 births per woman. Since
New South Wales State and Regional Population Projections 21-251 251 24 Release TRANSPORT AND POPULATION DATA CENTRE THE TRANSPORT AND POPULATION DATA CENTRE (TPDC) The TPDC is located in the NSW Department
World Population Ageing 9- I. DEMOGRAPHIC DETERMINANTS OF POPULATION AGEING Underlying global population ageing is a process known as the demographic transition in which mortality and then fertility decline
2. Germany (a) Past trends While the total fertility rate increased steadily from 2.1 to 2.4 children per woman between 15-155 and 1-15, Germany experienced a continuous decline afterwards, to 1. children
World Population Ageing 195-25 IV. DEMOGRAPHIC PROFILE OF THE OLDER POPULATION A. AGE COMPOSITION Older populations themselves are ageing A notable aspect of the global ageing process is the progressive
SUB-SAHARAN AFRICA INDICATOR REGION WORLD Demographic indicators Total population (2006) 748,886,000 6,577,236,000 Population under 18 (2006) 376,047,000 2,212,024,000 Population under 5 (2006) 125,254,000
A CRITICAL ANALYSIS OF THE UNDERLYING ASSUMPTIONS USED BY CHIGWEDERE ET AL IN THEIR ARTICLE ESTIMATING THE LOST BENEFITS OF ANTIRETROVIRAL DRUG USE IN SOUTH AFRICA PUBLISHED IN JAIDS IN DECEMBER 2008 Christopher
Education Statistics in South Africa 2014 Published by the Department of Basic Education Education Statistics in South Africa 2014 Published by the Department of Basic Education March 2016 i Department
Business Intelligence Statistical Bulletin September 2015 Migration indicators in Kent 2014 Related information The and Census web page contains more information which you may find useful. change presents
Use of health facilities and levels of selected health conditions in South Africa: Findings from the General Household Survey, 2011 Statistics South Africa Report No. 03 00 05 (2011) Pali Lehohla Statistician
HIV and AIDS in Bangladesh BACKGROUND The first case of HIV/AIDS in Bangladesh was detected in 1989. Since then 1495 cases of HIV/AIDS have been reported (as of December 2008). However UNAIDS estimates
Children in Egypt 2014 A STATISTICAL DIGEST CHAPTER 1 DEMOGRAPHY Children in Egypt 2014 is a statistical digest produced by UNICEF Egypt to present updated and quality data on major dimensions of child
EPIDEMIOLOGY OF HEPATITIS B IN IRELAND Table of Contents Acknowledgements 3 Summary 4 Introduction 5 Case Definitions 6 Materials and Methods 7 Results 8 Discussion 11 References 12 Epidemiology of Hepatitis
Demographic Indicators With AIDS Series Without AIDS Scenario With AIDS Series Without AIDS Scenario Population (1,s),186,978 Growth rate 2.8 2.9 Crude birth rate 4 39 Crude death rate 14 12 Infant mortality
Global Demographic Trends and their Implications for Employment BACKGROUND RESEARCH PAPER David Lam and Murray Leibbrandt Submitted to the High Level Panel on the Post-2015 Development Agenda This paper
Malawi Population Data Sheet 2012 Malawi s Population Is Growing Rapidly Malawi Population (Millions) 26.1 19.1 13.1 9.9 8.0 4.0 5.5 1966 1977 1987 1998 2008 2020 2030 Malawi s population is growing rapidly,
19 November 2012 Population Projections for 2012 Current demographic trends are to lead Spain to lose one tenth of its population in the coming 40 years From 2018 onwards, there will be more deaths than
Shaping attitudes Challenging injustice Changing lives Policy briefing HIV prevention and the wider UK population September 2011 What HIV prevention work should be directed towards the general population
HIV/AIDS AND OTHER SEXUALLY TRANSMITTED INFECTIONS 11 11.1 INTRODUCTION D. Zanera and I. Miteka The 2004 Malawi Demographic and Health Survey (MDHS) collected information on HIV/AIDS as well as other sexually
PRESS RELEASE Embargoed until 12:00 PM, 11 March, 2009 WORLD POPULATION TO EXCEED 9 BILLION BY 2050: Developing Countries to Add 2.3 Billion Inhabitants with 1.1 Billion Aged Over 60 and 1.2 Billion of
2004 Update Sierra Leone 2 Sierra Leone HIV/AIDS estimates In 2003 and during the first quarter of 2004, UNAIDS and WHO worked closely with national governments and research institutions to recalculate
Estimating National HIV Prevalence in Ghana Using Sentinel Surveillance Data Methodology National AIDS/STI Control Programme Disease Control Unit Ministry of Health Accra August 1, 2001 Sentinel surveillance
South African Health Sector: Presented to Budget committee By Dr. Olive Shisana CEO Human Sciences Research Council Vision of the Department of Health An accessible, caring and high quality health care
Long Term Socio-Economic Impact of HIV/AIDS on Children and Policy Response in Thailand Wattana S. Janjaroen Faculty of Economics and College of Public Health Chulalongkorn University Suwanee Khamman and
ISBN 978-92-64-04661-0 Trends Shaping Education OECD 2008 Chapter 1 Ageing OECD Societies FEWER CHILDREN LIVING LONGER CHANGING AGE STRUCTURES The notion of ageing societies covers a major set of trends
UNITED NATIONS PRESS RELEASE EMBARGOED UNTIL 3 MAY 2011, 11:00 A.M., NEW YORK TIME World Population to reach 10 billion by if Fertility in all Countries Converges to Replacement Level UNITED NATIONS, 3
GENERAL HOUSEHOLD SURVEY (GHS) 2013 REPORT: FOCUS ON SCHOOLING DEPARTMENT OF BASIC EDUCATION GENERAL HOUSEHOLD SURVEY (GHS) 2013 REPORT: FOCUS ON SCHOOLING 1 Published by the Department of Basic Education
Promoting Family Planning INTRODUCTION Voluntary family planning has been widely adopted throughout the world. More than half of all couples in the developing world now use a modern method of contraception
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this
UNAIDS 2013 AIDS by the numbers 33 % decrease in new HIV infections since 2001 29 % decrease in AIDS-related deaths (adults and children) since 2005 52 % decrease in new HIV infections in children since
Population Ageing 195-25 III. CHANGING BALANCE BETWEEN AGE GROUPS A. BROAD AGE GROUPS The young-old balance is shifting throughout the world The increasing proportions of aged persons have been accompanied,
Dublin Declaration on Partnership to fight HIV/AIDS in Europe and Central Asia Against the background of the global emergency of the HIV/AIDS epidemic with 40 million people worldwide living with HIV/AIDS,
Per 1 LB African Region Maternal and Perinatal Health Profile Department of Maternal, Newborn, Child and Adolescent Health (MCA/WHO) Demographics and Information System Health status indicators - Maternal
World Population Monitoring E c o n o m i c & S o c i a l A f f a i r s Adolescents and Youth A Concise Report asdf United Nations Department of Economic and Social Affairs Population Division ST/ESA/SER.A/330
2. Incidence, prevalence and duration of breastfeeding Key Findings Mothers in the UK are breastfeeding their babies for longer with one in three mothers still breastfeeding at six months in 2010 compared
Statistical release Mining: Production and sales (Preliminary) September 2012 Embargoed until: 8 November 2012 11:30 Enquiries: Forthcoming issue: Expected release date: User Information Services October
Statistical release Consumer Price Index January 2009 Embargoed until: 25 February 2009 11:30 Enquiries: Forthcoming issue: Expected release date User information services February 2009 25 March 2009 Tel:
8 Health and Longevity The health of a country s population is often monitored using two statistical indicators: life expectancy at birth and the under-5 mortality rate. These indicators are also often
UN/POP/MORT/2003/2 5 September 2003 ENGLISH ONLY WORKSHOP ON HIV/AIDS AND ADULT MORTALITY IN DEVELOPING COUNTRIES Population Division Department of Economic and Social Affairs United Nations Secretariat
U.S. Population Projections: 2012 to 2060 Jennifer M. Ortman Population Division Presentation for the FFC/GW Brown Bag Seminar Series on Forecasting Washington, DC February 7, 2013 2012 National Projections
Shared Interest 121 West 27 th Street, Suite 901, New York, NY 10001 (212) 337-8547 firstname.lastname@example.org South Africa Delegation Briefing Paper November 2006 South Africa 2006: Population and HIV/AIDS
Per 1 LB African Region Maternal and Perinatal Health Profile Department of Maternal, Newborn, Child and Adolescent Health (MCA/WHO) Demographics and Information System Health status indicators Maternal
POPULATION AND MIGRATION ESTIMATES NORTHERN IRELAND (2013) STATISTICAL REPORT 9.30am Thursday 26 June 2014 Key Points Northern Ireland population at 30 June 2013 is estimated to be 1.830 million people.
Getting to zero new infections in children: what will it take? Dr Lee Fairlie 27 September2014 Content What will it take from us individually? Back to basics Pressure points for PMTCT What else do we need?
Population Division Department of Economic and Social Affairs United Nations Secretariat Replacement Migration United Nations ST/ESA/SER.A/206 Population Division Department of Economic and Social Affairs
Projections of the Size and Composition of the U.S. Population: to Population Estimates and Projections Current Population Reports By Sandra L. Colby and Jennifer M. Ortman Issued March 15 P25-1143 INTRODUCTION
ST/ESA/SER.A/209/ES DEPARTMENT OF ECONOMIC AND SOCIAL AFFAIRS POPULATION DIVISION HIV/AIDS: AWARENESS AND BEHAVIOUR EXECUTIVE SUMMARY UNITED NATIONS NEW YORK 200 1 2 HIV/AIDS: AWARENESS AND BEHAVIOUR Executive
Population Aging in Developed Countries: Emerging Trends and Dynamics Wan He, Ph.D. Population Division U.S. Census Bureau This presentation is released to inform interested parties of population aging
Per 1 LB Eastern Mediterranean Region Maternal and Perinatal Health Profile Department of Maternal, Newborn, Child and Adolescent Health (MCA/WHO) Demographics and Information System Health status indicators
Education Most Pakistani Women Lack Any Education Only one in three ever-married women ages 15-49 in Pakistan has any education. Most women never learn how to read. The new Demographic and Health Survey
Fact Sheet Poverty in South Africa INTRODUCTION New estimates of poverty show that the proportion of people living in poverty in South Africa has not changed significantly between 1996 and 2001. However,
Statistical bulletin National Life Tables, United Kingdom: 2012 2014 Trends for the UK and constituent countries in the average number of years people will live beyond their current age measured by "period
THE GAP REPORT 2014 People aged 50 years and older The ageing of the world s population is one of the most significant demographic trends of this era, and there are a growing number of people aged 50 and
07 AIDS epidemic update UNAIDS/07.27E / JC1322E (English original, December 2007) Joint United Nations Programme on HIV/AIDS (UNAIDS) and World Health Organization (WHO) 2007. All rights reserved. Publications
New Brunswick Health Indicators Issue 8, July 2013 A population health bulletin published by the Office of the Chief Medical Officer of Health Youth Sexual Health Sexual health is an important aspect of
GLOBAL AIDS UP GLOBAL AIDS UPDATE UNAIDS 2016 DATE 2016 ENORMOUS GAINS, PERSISTENT CHALLENGES The world has committed to ending the AIDS epidemic by 2030. How to reach this bold target within the Sustainable
Tanzania: Population, Reproductive Health & Development Photo credits: IFAD / Christine Nesbitt and Robert Grossman and USAID. Hosted by the Government Population Planning Section President s s Office,
II. NET INTERNATIONAL MIGRATION A. GLOBAL TRENDS During the period 195-21, the developed regions experienced population gains from positive net international migration while the developing regions were
MALAWI YOUTH DATA SHEET 2014 2 of Every 3 People in Malawi Are Under Age 25 Age 80+ 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 Male Female 20-24 POPULATION 700,000 700,000 0 POPULATION
JAPAN Past trends The total fertility rate in Japan fell from 2.75 births per women in 195-1955 to 2.8 births in 1955-196. Total fertility remained at the near-replacement level between 196 and 1975, and
Statistics South Africa Private Bag X44 Pretoria 0001 South Africa 170 Andries Street Pretoria 0002 User information services: (012) 310 8600 Fax: (012) 310 8500 Main switchboard: (012) 310 8911 Website:
Income poverty in South Africa Annie Leatt (Children s Institute) It is important to understand child poverty as multidimensional and more than just a lack of income. Nevertheless, this essay specifically
Paper title: SIMPLE TOOL FOR ANNUAL ESCALATING (AND DE-ESCALATING) INFRASTRUCTURE VALUE BASED ON THE CONSTRUCTION PRICE ADJUSTMENT FACTOR As presented at the Institute of Municipal Engineering of South
Statistical release Financial statistics of consolidated general government 2013/2014 Embargoed until: 23 November 2015 09:00 Enquiries: Forthcoming issue: Expected release date User information services
Maternal & Child Mortality and Total Fertility Rates Sample Registration System (SRS) Office of Registrar General, India 7th July 2011 Sample Registration System (SRS) An Introduction Sample Registration
UN AID S PROGRAM M E COORDIN AT ING BO ARD UNAIDS/PCB (32)/13.CRP 3 Issue date: 07 June 2013 THIRTY-SECOND MEETING Date: 25-27 June 2013 Venue: Executive Board Room, WHO, Geneva Agenda item 4 Joint United
Population, Health, and Human Well-Being-- EarthTrends Country Profiles Demographic and Health Indicators Total Population (in thousands of people) 195 29,79 176,775 2,519,495 22 12,47 683,782 6,211,82
CORRELATIONAL ANALYSIS BETWEEN TEENAGE PREGNANCY AND MATERNAL MORTALITY IN MALAWI Abiba Longwe-Ngwira and Nissily Mushani African Institute for Development Policy (AFIDEP) P.O. Box 31024, Lilongwe 3 Malawi
Population, Health, and Human Well-Being-- EarthTrends Country Profiles Demographic and Health Indicators Total Population (in thousands of people) 195 152 111,647 2,519,495 22 2,23 423,296 6,211,82 225
Summary The thesis examines the factors that impact on access and utilisation of health services in Ghana. The utilisation behaviour of residents of a typical urban and a typical rural district are used
PROFILE OF THE SINGAPORE CHINESE DIALECT GROUPS by Edmond Lee Eu Fah Social Statistics Section Singapore Department of Statistics INTRODUCTION The Singapore society is made up of different ethnic groups
AUSTRALIA AND NEW ZEALAND FACTSHEET What is Stillbirth? In Australia and New Zealand, stillbirth is the death of a baby before or during birth, from the 20 th week of pregnancy onwards, or 400 grams birthweight.
Part Burden of disease:. Broad cause composition 0 5. The age distribution of burden of disease 6. Leading causes of burden of disease 7. The disease and injury burden for women 6 8. The growing burden