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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The South Africa I know, the home I understand

INDIGENTS

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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

Water services

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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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The South Africa I know, the home I understand

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 South Africa I know, the home I understand

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 South Africa I know, the home I understand

The scope of the research

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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

Building plans

passed

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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

Statistics are about:

People

Places

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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

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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The South Africa I know, the home I understand

Red indicates wards

that have less than 5%

households with flush

toilets

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The South Africa I know, the home I understand

Proportion with refuse removal

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The South Africa I know, the home I understand

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The South Africa I know, the home I understand

Proportion unemployed

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The South Africa I know, the home I understand

Red colour means

unemployment

rate greater than

71%

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The South Africa I know, the home I understand

%distribution of informal dwellings at ward level

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The South Africa I know, the home I understand

Informal dwelling

Red is less than 10%

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The South Africa I know, the home I understand

Green it greater

than 48%

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The South Africa I know, the home I understand

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The South Africa I know, the home I understand

RED is household with less than

5% access to piped water

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The South Africa I know, the home I understand

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The South Africa I know, the home I understand

Red shows 90% or

greater

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The South Africa I know, the home I understand

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The South Africa I know, the home I understand

Red is less than 10%

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The South Africa I know, the home I understand

Wards

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The South Africa I know, the home I understand

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The South Africa I know, the home I understand

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

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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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The South Africa I know, the home I understand

Main place

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The South Africa I know, the home I understand

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The South Africa I know, the home I understand

Red indicates

at least 50%

Households

don’t have

access to

piped water

No access to piped water

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The South Africa I know, the home I understand

Youth Unemployment Hot spot analysis

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The South Africa I know, the home I understand

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The South Africa I know, the home I understand

Red indicates areas with high

under-5 mortality

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The South Africa I know, the home I understand

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

The South Africa I know,

the home I understand www.statssa.gov.za

Thank you!