making children count:
DESCRIPTION
International Society of Child Indicators Conference: June 2007. Making Children Count:. Using child-centred data to monitor the realisation of children’s socio-economic rights in South Africa. Authors: Lizette Berry and Double-Hugh Marera E-mail: [email protected]. - PowerPoint PPT PresentationTRANSCRIPT
Using child-centred data to monitor the realisation of children’s socio-economic rights in South Africa
Making Children Count:
Authors: Lizette Berry and Double-Hugh Marera
E-mail: [email protected]
Children’s Institute, University of Cape Town
International Society of Child Indicators Conference: June 2007International Society of Child Indicators Conference: June 2007
Significant progress in the social, economic and human development arenas has been made post-1994
Little is known about the extent to which children are beneficiaries of such progress
South Africa’s government are obliged to ensure that the rights of children are realised
Conceptual framework of this project is presented - uses indicators to monitor the realisation of children’s socio-economic rights
Introduction
The policy and legislative environment
Children have theoretically enjoyed greater attention post-1994
A progressive legislative and policy framework intends to serve the best interests of children in South Africa
12 years post-democracy, comprehensive implementation has yet to be experienced by all children
A rights-based framework
South Africa ratified the United Nation’s Convention on the Rights of the Child (UNCRC) in 1995
Adopted a progressive Constitution in 1996
Careful monitoring of the implementation of laws, policies and programmes is required
A focus on socio-economic rights
Socio-economic rights aim to ensure equal access to resources, opportunities and services needed for an adequate standard of living for all [Liebenberg & Pillay, 2000]
The South African government has an obligation to advance the realisation of children’s socio-economic rights
The importance of child-centred data
Child-centred data: the child is the primary unit of observation and analysis [Saporiti, 1998]
Such data are scarce in South Africa Although survey and administrative data
are available - children are often not the unit of analysis
Child-centred data are required to provide an accurate picture of the realisation of children’s rights
The making of Children Count-Abantwana Babalulekile
The project addresses the paucity of information on children in South Africa
It performs a monitoring function Indicators of children’s socio-economic
rights are used to measure the degree to which these rights are being fulfilled
Key findings: The apartheid legacy is evident in the inequity
experienced by the majority of African children Although progress is gradual in some policy
areas, in others steady improvements have been made
Indicator domains
Health
Nutrition
Education Housing
Water & Sanitation
Social Security
Demography
Monitoring childsocio-economic
rights
Indicators per domain
Social SecurityTake-up of the Child Support Grant
Children in receipt of the Care Dependency GrantChildren in receipt of the Foster Care Grant
DemographyChild population
Orphan populationIncome poverty
Presence of employed adultChild-parent co-residence
Orphan-parent co-residenceChild-headed households
Water & SanitationAccess to water
Access to sanitation
EducationSchool attendance rate
Gender parity indexLearner-educator ratioSchool access to water
School access to sanitationDistance to school
HousingUrban/rural location
Housing typeOvercrowding
Access to electricity
NutritionLow birth-weight rate
StuntingUnderweight
Vitamin A deficiencyIron deficiency
Iodine deficiencyChildren experiencing hunger
HealthInfant mortality rate
Under-5 mortality rateMaternal deaths
Cause-specific deaths among childrenTeenage pregnancy rateImmunisation coverage
HIV prevalence among childrenHIV prevalence among pregnant women
Proportion of children on ARV’sProportion of adults on ARV’s
Methodological approach & strategies
The project uses household survey data and administrative data
Employ statistical techniques to extract child-centred data from annual household survey data
Generate reliable child-centred indicators and develop trends
Communicate our findings via: a dedicated web site -
www.childrencount.ci.org.za An annual publication called the ‘South
African Child Gauge’
Illustration 1: monitoring child poverty [1]
Child income poverty: children who live in households with an income of less than R1,200 per month for all the household members combined
Over the 2002-2005 period, an average of 79% of African children were living in income poverty
The number of African children living in poverty remains dis-proportionately high
Illustration 1: monitoring child poverty [2]
Proportion of children living in poor households in South Africa by population group, 2002-2005
Source: Statistics South Africa (2003, 2004, 2005, 2006) General Household Survey 2002; General Household Survey 2003;
General Household Survey 2004; General Household Survey 2005. Pretoria: Statistics South Africa. Analysis by Double-Hugh Marera, Children’s Institute, UCT.
84% 81%75% 75%
53%49%
35% 37%
20% 17%10% 10%
5% 5% 3% 2%0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
2002 2003 2004 2005
Year
Pro
po
rtio
n o
f p
oo
r ch
ild
ren
African
Coloured
Indian
White
Illustration 2: monitoring water access [1]
Children’s access to water: clean and reliable, on site water supply
Children living in predominantly rural provinces have poor access to water
Provincial disparities are stark, pointing to inequity in service delivery
Illustration 2: monitoring water access [2]
Proportion of children without access to drinking water on site in South Africa by province, in 2005
Source: Statistics South Africa (2006)General Household Survey 2005. Pretoria: Statistics South Africa. Analysis by Double-Hugh Marera, Children’s Institute, UCT.
68%
53%
68%
35%
38%
9%
9%
7%
10%
0% 10% 20% 30% 40% 50% 60% 70% 80%
EC
KZN
LM
MP
NW
FS
NC
WC
GT
Are
a
Proportion of children
Illustration 3: monitoring access to housing [1]
Children’s access to housing: overcrowded households = more than 2 people per habitable room [UN-HABITAT]
The majority of children live in non-crowded households
There are slightly larger proportions of older children than younger children living in non-crowded households
Illustration 3: monitoring access to housing [2]
70%
73%
77%
64%
66%
68%
70%
72%
74%
76%
78%
0-5 6-12 13-17
Age in years
Pro
po
rtio
n o
f ch
ild
ren
Proportion of children living in non-crowded households in South Africa by age, in 2005
Source: Statistics South Africa (2006)General Household Survey 2005. Pretoria: Statistics South Africa. Analysis by Double-Hugh Marera, Children’s Institute, UCT.
Conclusion
There is a “…great need for simple and user-friendly statistical indicators...” that direct and strengthen arguments over social policy issues [Garonna, 1994]
This project attempts to fill the information void and provides user-friendly and accessible child-centred data
Child indicators provide benchmarks against which improvements in children’s living conditions can be monitored
The project serves as a useful resource for those who develop policy, laws and programmes that shape the lives of children in South Africa
Visit www.childrencount.ci.org.za
Contact details
Lizette BerryChildren’s InstituteUniversity of Cape TownEmail: [email protected]: www.ci.org.za