Non Financial Census of Municipalities - Amazon Web...
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1 The South Africa I know, the home I understand Pali Lehohla Statistician-General Statistics South Africa Cape Town 22 October 2014 Non Financial Census of Municipalities
Transcript of Non Financial Census of Municipalities - Amazon Web...
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The South Africa I know, the home I understand
Pali Lehohla
Statistician-General
Statistics South Africa
Cape Town
22 October 2014
Non Financial Census
of Municipalities
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The South Africa I know, the home I understand
Outline of Presentation
• Oversight Role of the Portfolio Committee
• Using Stats SA data for Monitoring and Evaluation
• Situation Analysis. What is the current position?
• Integrated Data Analysis
– Maputo Corridor Analysis
– Infrastructure development
– Causes of Death
• My Ward My Councilor
• Stats SA Services
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The South Africa I know, the home I understand
Health
Education
Child mortality
Years of schooling
School attendance
The four dimensions of poverty
Living
standards
Lighting
Heating
Cooking
Water
Sanitation
Economic
activity
Unemployment
Dwelling
Assets
(death of child under 5)
(completed 5 years of schooling)
(school-aged child out of school)
(no electricity)
(no electricity)
(no electricity)
(no piped water)
(informal/traditional/caravan/tent)
(no flush toilet)
(no radio/TV/phone/car)
(adults unemployed)
Deprivation
cut-offs
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INDIGENTS
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Free Basic Service Policy (Rebates): From 2001
6kl free per
household per month
50kwh free per
household per month
Target group = indigent
households
R50 average for
Sewerage and
sanitation
R50 average for
Solid waste
management
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The South Africa I know, the home I understand
GP
335 177
Number of indigent households registered with municipalities per province: 2013
3,4 million indigent
households
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Water services
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consumer units receiving
water service
2009: 9,7 million
2013: 11,8 million
Consumer units with
access to water inside
the yard
2009: 6,7 million
2013: 7,9 million
Consumer units with access to water South Africa: 2009-2013
88% of
consumer units
that had access to
water in 2009
received water
within RDP
standard
Access
increased to
90% in 2013
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WC
1 222
012
944 844
EC
1 534
704
685 865
NC
270
266
86 121
FS
734
019
272
151
NW
827
418
324
384
LP
1 235 595
481 205
GP
2 859
676
1 077
660
KZN
2 078
601
815 938
MP
1 032
235
581 307
Number of consumer units receiving basic water and free basic
water
6kl free per
household per month
11,8 million consumer
units
Basic water Free basic
water
2013 financial
year
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The South Africa I know, the home I understand
Mapping the poverty headcount
by Municipality
Eastern Cape – 2001-2011
(SAMPI)
Poverty headcount by municipality – 2001-2011 (SAMPI)
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The South Africa I know, the home I understand
Poverty headcount by municipality – 2001-2011 (SAMPI)
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The South Africa I know, the home I understand
Poverty headcount by municipality – 2001-2011 (SAMPI)
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The South Africa I know, the home I understand
Percentage of households that
have no toilet facility by improved
sanitation per province
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The South Africa I know, the home I understand
Mapping the poverty headcount by municipality –2011 (SAMPI)
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0%
20%
40%
60%
80%
100%
0% 20% 40% 60% 80% 100%
8%
33%
Food poverty line
R321
Lower-bound poverty line
R443
Upper-bound poverty line
R620
Measuring poverty
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Where are the
poorest
municipalities
located?
Census 2011
EC
KZN
1
2
3
4
5
6 7
8
9
10
Headcount
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The South Africa I know, the home I understand
Mapping the poverty headcount by ward - 2001
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The South Africa I know, the home I understand
Mapping the poverty headcount by ward - 2011
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The South Africa I know, the home I understand
THE SOUTH AFRICA I KNOW, THE HOME I UNDERSTAND
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1.3
16.3
3.6
5.9
7.5
7.3
6.3
7.0
5.4
6.6
32.9
1.5
13.7
2.3
5.2
7.3
6.3
6.5
7.4
5.4
4.5
39.8
Child mortality
Years of schooling
School attendance
Lighting
Heating
Cooking
Water
Sanitation
Dwelling
Assets
Unemployment
2011 2001
Poverty drivers in South Africa
Unemployment is now the
major driver of poverty in the
country
Living
standard
Education
Health
Economic
activity
0.0
5.0
10.0
15.0
20.0
25.0
30.0
2001 2011 2012 2013
Men Women Total
Unemployment
rate
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Major service delivery protests, by year (2004 – 2012)
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The South Africa I know, the home I understand
Major service delivery protests, 2012, by province
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The South Africa I know, the home I understand
Hotspots for service delivery protests in SA
http://marionwalton.com/examples/servicedelivery/ Police crowd control data – Map of protests in South Africa 01/01/2009-30/11/2012 23
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The Maputo Development Corridor
Problem Statement
According to Spatial Development Initiatives (1999), some of the objectives of
the MDC include:
1. rehabilitating the primary infrastructure network along the corridor
2. maximising investment in both the inherent corridor area and in the added
opportunities
3. maximising social development, employment opportunities and
increase the participation of historically disadvantaged people
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The scope of the research
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Reported positive impacts of the MDC on local communities
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Reported negative impacts of the MDC on local communities
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Selected indicators Description Variable(s)
Demographic characteristics 1. Total population
2. Population aged 15-64 as a proxy for the
labour force group: 1996, 2001, 2007 and 2011
Educational characteristics Educational level for the population aged 15-64:
1996, 2001 and 2007 and 2011
Categories
1. Less than primary education (used as a proxy for
unskilled labour)
2. Achieved high school education and above (used
as a proxy for skilled labour)
Employment Percentage of the labour force employed (all sector
employment):
1996, 2001, 2007 and 2011
Grouped employment sector Agriculture and mining
Infrastructure related
Wholesale,
Migration – in vs out Number of persons aged 15-64 who reported that
they moved from other places to others between
2001 and 2011: census 2011
Provision of basic services to households Percentage of households with piped water in
dwelling or yard: 1996, 2001, 2007 and 2011
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Percentage of population
aged 15-64 employed
0
10
20
30
40
50
60
70
1996 2001 2006 2011
Per
cen
tage
Year
MDC region Mpumalanga Province South Africa
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Percentage of persons aged 15-64 employed by
employment sector
0 20 40 60
Agriculture and mining
Infrastructure related
Wholesale, retail and services
Agriculture and mining
Infrastructure related
Wholesale, retail and services
Agriculture and mining
Infrastructure related
Wholesale, retail and services
1996
20
01
2007
Percentage employed
Yea
r
SOUTH AFRICA
MPUMALANGA
MDC REGION
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Numbers of in and out migrants:
2001-2011 In migrants into MDC municipalities
Out migrants from MDC municipalities
0
5000
10000
15000
20000
25000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Nu
mb
er o
f p
erso
ns
ag
ed 1
5-6
4
Year moved
Victor Khanye Emalahleni Steve Tshwete
Emakhazeni Mbombela Nkomazi
0
5000
10000
15000
20000
25000
30000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Nu
mb
er o
f p
erso
ns
ag
ed 1
5-6
4
Year moved
Victor Khanye Emalahleni Steve Tshwete
Emakhazeni Mbombela Nkomazi
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Building plans
passed
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South Africa
R86,1bn
/
LP R2,3bn
3%
MP R4,1bn
5%
KZN R13,8bn
16%
EC R4,8bn
6%
FS R2,5bn
3%
NW R3,8bn
4%
NC R1,0bn
1%
WC R18,6bn
22%
GP R35,3bn
41%
Value of building plans passed
by province, 2013
Municipalities in Gauteng
recorded building plans to
the value of R35,3 billion,
41% of the national total
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Buildings completed
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The South Africa I know, the home I understand
South Africa
R52,2bn
/
LP R0,7bn
1%
MP R2,0bn
4%
KZN R7,0bn
13%
EC R2,3bn
4%
FS R1,1bn
2%
NW R1,7bn
3%
NC R0,4bn
1%
WC R15,7bn
30%
GP R21,3bn
41%
Value of buildings completed
by province, 2013
Municipalities in Gauteng
recorded completed buildings to
the value of R21,3 billion,
41% of the national total
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Number of buildings
completed
In both 2006 and 2013, Cape
Town and Tswhane completed
the most number of buildings
2006
2013
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The South Africa I know, the home I understand
Links to Capital Spending
CoJ CoCT RLM Average
Capital
expenditure (%
of municipal budget)
15 21.5 16.7 17.7
Economic (%) 2.4 1.2 1.1 1.5
Social (%) 4.4 6.8 7.2 6.1
Housing (%) 10.2 8.1 3.1 7.1
Infrastructure (%)
81.1 81.4 86.6 83.0
• Public capital spending impetus for
private sector investments.
• Cities generally have larger capital
budgets than other municipalities.
• Highest spending in services
infrastructure (transport, water,
electricity, sanitation) followed by
Housing for 2007/8 to 2011/12.
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The South Africa I know, the home I understand
SDF priorities: corridor development – EW, NS, public transport
management areas; nodal development; marginalised areas; non-
prioritized areas.
Wards containing SDF features generally attracted higher levels
of capital spending.
Average investment in the corridors was the highest, followed by
the mixed-use & industrial nodes, and the marginalised areas.
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The South Africa I know, the home I understand
Census 2001 Population Census 2011 Population
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Statistics are about:
People
Places
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Outcome: use of evidence
For USE in
Planning
(baseline information for NDP)
Monitoring & Evaluation
(measuring development and
impact)
Policy development
(increasing rationale for making
decisions for better policies)
Decision-making
(decision making in government,
subnational, business & the public)
Increased knowledge, understanding and use by the leadership, citizens and state
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The South Africa I know, the home I understand
The importance of a spatial information frame?
Postal services
Address provision for household mail delivery
Emergency services
Rapid response to save lives Disaster management
Service delivery
Provide basic services to consumer units
Retail and business services
Deliver goods, financial services, business location
Plan for the future
Inform urban and regional planning
Valuation roll
Property descriptions and rates valuation
An accurate and complete statistical frame
Data collection
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Benefits
Using the
customer unit
as the spatial
integrator
Geo-information integration Link customer unit to
fundamental data
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The South Africa I know, the home I understand
and the need to know
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The South Africa I know, the home I understand
Industrial revolution of data
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The South Africa I know, the home I understand
structured and planned unstructured
and unfiltered
product by-product
high cost
centralised
regulated
manageable size
HUGE
point-in-time
macro-level
clear concept & method
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The South Africa I know, the home I understand
Proportion with flush
toilet
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Red indicates wards
that have less than 5%
households with flush
toilets
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Proportion with refuse removal
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Proportion unemployed
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Red colour means
unemployment
rate greater than
71%
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%distribution of informal dwellings at ward level
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Informal dwelling
Red is less than 10%
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Green it greater
than 48%
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RED is household with less than
5% access to piped water
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Red shows 90% or
greater
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Red is less than 10%
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Wards
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The red indicates
household with
piped water inside
dwelling between
0 and 3.98%
Piped water inside dwelling
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The South Africa I know, the home I understand
The red
Indicates
household with
f
lush toilets
between 0 and
2.1%
Flush toilet
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Main place
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Red indicates
at least 50%
Households
don’t have
access to
piped water
No access to piped water
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Youth Unemployment Hot spot analysis
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Red indicates areas with high
under-5 mortality
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Training and Analysis
• All Stats SA data is free
• Free Supercross training
• Spatial analysis
• Integrated Statistical analysis
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The South Africa I know,
the home I understand www.statssa.gov.za
Thank you!
