basic services publication - cogta.fs.gov.za

BASIC SERVICES PUBLICATION

COMPARATIVE INFORMATION ON BASIC SERVICES

2009 Disclaimer

This publication does not replace or underscore the need for official and national statistics on basic services published by Statistics South Africa, and as such is intended to support the information needed for planning.

2

Published by Department of Cooperative Governance and Traditional Affairs

87 Hamilton Street, Arcadia Pretoria

Private Bag X804, Pretoria, 001, South Africa

Telephone: +27 (0) 12 334 0600

Facsimile: +27 (0) 12 334 0904

ISBN: 978-0-620-45326-4

Website: www.dplg.gov.za

3

Table of Contents

Foreword by the Minister …………………………………………………………… 5

Acknowledgement …………………………………………………………………….. 6 Executive Summary ………………………………………………………………….. 8

1. Purpose of the Report 10

2. Scope of the Report 10

3. Finding Common Ground – Reporting on Basic Services 10

4. National Perspective 11

5. Provincial Perspective 12

Water: 5.1 Access to Basic and Higher Levels of Service 12

5.2 Household Water Backlog 14

5.3 Free Basic Water 16

Sanitation: 5.4 Access to Basic and Higher Levels of Service 18

5.5 Sanitation Backlog 20

5.6 Free Basic Sanitation 22

Electricity: 5.7 Access to Electricity 24

5.8 Electricity Backlog 26

5.9 Free Basic Energy 28

Refuse Removal: 5.10 Access to Refuse Removal 30

5.11 Refuse Removal Backlog 32

5.12 Free Basic Refuse Removal 34

6. Application and Use of Report 36

4

7. Annexures: Annexure A: Data Collection Methodology 37

Annexure B: Data Quality Improvement Programme 42

Annexure C: uHABS index 43

Annexure D: Access to Water 44

Annexure E: Free Basic Water 49

Annexure F: Access to Sanitation 54

Annexure G: Access to Electricity 59

Annexure H: Free Basic Energy 67

Annexure I: Refuse Removal 74

Annexure J: District and Municipality Name Reference 81

Annexure K: RSA Municipalities and District Management Areas 88

Annexure L: Spatial Distribution of Water Backlogs (CS 2007) 90

Annexure M: Spatial Distribution of Water Backlogs (DWEA 2008) 92

Annexure N: Spatial Distribution of Water Backlogs (Municipal Source 2008) 94

Annexure O: Average National Share of Water Backlogs 96

Annexure P: Spatial Distribution of Sanitation Backlogs (CS 2007) 98

Annexure Q: Spatial Distribution of Sanitation Backlogs (DWEA 2008) 100

Annexure R: Spatial Distribution of Sanitation Backlogs (Municipal Source 2008) 102

Annexure S: Average National Share of Sanitation Backlogs 104

Annexure T: Spatial Distribution of Electricity Backlogs (DME 2008) 106

Annexure U: Municipal Share of National Backlogs (DME 2008) 108

Annexure V: Spatial Distribution of Refuse Removal Backlogs (CS 2007) 110

Annexure W: Municipal Share of the National Refuse Backlogs (CS 2007) 112

Annexure X: Spatial Distribution of Households Served with Free Basic Energy

(Municipal Source 2008) 114

Annexure Y: Spatial Distribution of Households Served with Free Basic Water

(Municipal Source 2008) 116

5

Foreword by the Minister

As government strives to achieve universal access to basic services for all households by 2014, understanding our current status in the delivery of basic services is critical both in terms of reporting accurately to the nation and in developing appropriate strategies and interventions. The diverse nature of our municipalities, notably their financial and human capacity, requires a differentiated and targeted set of interventions and strategies to reduce service delivery backlogs and to cope with the demand for new services. At the same time, municipalities must be able to maintain existing services and infrastructure.

Ideally, our reporting systems should be seamless across the three spheres of government, and horizontally across sector departments. Unfortunately, in the absence of this ideal, and the fact that the census is ten years apart, our planning agencies and government have to rely on other measures. The processes and consultations that have culminated in this publication are one such measure to assist decision-makers and planners with a platform for consistent reporting on basic services in a consultative manner.

I have no doubt that this publication will grow annually both in its acceptance by key stakeholders and the content that it will publish.

It is also my understanding that this reference document will give us the confidence to collate the information from different sources with greater understanding and to also work from the same page when reporting on the status and progress with regard to service delivery in our country.

This publication should take government’s efforts to deliver a better quality of life for all South Africans a number of steps forward.

This publication embodies the ethos of the new Department of Cooperative Governance and Traditional Affairs to achieve a coherent, cohesive and integrated government for improved service delivery. The publication will go some way to improving the credibility of baseline information and will make an important contribution in determining what resources are required to facilitate service delivery. In its current form, the publication focuses on basic services initially and will be extended over time to include other sectors not currently covered as well other information sources deemed necessary by other institutions and the COGTA.

Minister for Cooperative Governance and Traditional Affairs

6

Acknowledgement The Department of Cooperative Governance and Traditional Affairs would also like to express its gratitude to the following organisations:

o Statistics SA for their guidance and support with the data analysis; o Municipalities; o Department of Water and Environmental Affairs (DWEA);

o Department of Energy (DE);

o Department of Sport and Recreation South Africa (SRSA);

o National Treasury (NT);

o South Africa Local Government Association (SALGA);

o Department of Human Settlements (DHS); and

o Participating members of the Data Quality Improvement Programme.

7

Abbreviations COGTA......................................... : Cooperative Governance and Traditional Affairs CIP............................................. : Comprehensive Infrastructure Planning CPP………………………………. : Comprehensive Planning Process CS………………………………… : Community Survey DE………………………………… : Department of Energy DEAT…………………………….. : Department Environmental Affairs and Tourism DHS………………………………. : Department of Human Settlements DMA’s……………………………. : District Management Areas DME……………………………… : Department of Minerals and Energy DUs………………………………. : District Units DWAF……………………………. : Department of Water Affairs and Forestry DWEA……………………………. : Department of Water and Environmental Affairs EAs………………………………. : Enumeration areas FBE………………………………. : Free Basic Energy FBR………………………………. : Free Basic Removal (Refuse Removal) FBS………………………………. : Free Basic Services FBSAN………………………........ : Free Basic Sanitation FBW……………………………… : Free Basic Water GHS……………………………… : General Household Survey IDPs……………………………… : Integrated Development Plan MIG………………………………. : Management Infrastructure Grant MS………………………………… : Master Sample NFCM......................................... : Non-Financial Census of Municipalities NFC………………………………. : Non-Financial Census NSS………………………………. : National Security Systems NT………………………………… : National Treasury PSUs.......................................... : Primary Sampling Units RDP .......................................... : Reconstruction and Development Programme SALGA………………………......... : South Africa Local Government Association SASQAF………………………… : South African Quality Assurance Framework SRSA…………………………….. : Sport and Recreation of South Africa Stats SA…………………………. : Statistics South Africa

8

EXECUTIVE SUMMARY This publication does not replace or underscore the need for official and national statistics on basic services published by the Statistics South Africa. The information on basic services is presented for each of the 231 local municipalities and the 6 metropolitan municipalities. The information is presented at a national, provincial and municipal perspective.

The main purpose of this publication is to get a sense of the various information sources, and an appreciation of the differences in its methodology. This will provide a basis for robust debate and further work on streamlining processes to measure more consistently the status and progress with regard to basic services, as we gear to achieve universal access by 2014. It will also serve as a reference for planning and resource allocation between the census years. There is a 10 year gap in the census information per municipality, making it difficult to plan and allocate resources for infrastructure in the years between censuses. The difference in methodology by which the data was captured is key in understanding the variances among the different sources of information. The General Household Survey and Community Survey use various sampling techniques. In the case of the General Household Survey (GHS), 30 000 dwelling units are covered and in case of the Community Survey 2007 (CS), the sample size was 17 098 Enumerator Areas (EA’s). The Department of Water and Environmental Affairs (DWEA) and the Department of Energy (DE) on the other hand use the 2001 census as a base, and update their data sets annually. The 2009 figure supplied by the municipalities for basic water and sanitation make up the municipal source data and were captured in a template via the comprehensive infrastructure planning process. A pre-populated template with service delivery information from mainly Stats SA was sent to municipalities. The municipalities corrected the information and returned the completed template to COGTA. In the case of free basic services, a similar method of making available a template to municipalities to complete is applied. Control measures and quality controls were applied to data on free basic services received from the municipalities (Annexure A, Data Collection Methodology). Understanding the need to start somewhere, given the contestation around service delivery statistics, a Memorandum of Understanding (MOU) between Statistics South Africa and the Department of Cooperative Governance and Traditional Affairs (COGTA) was signed on 06 June 2009. Prior to the signing of the MOU, officials from COGTA, Stats SA and sector departments worked as a collective on the various information sources, focusing on its methodology, limitations and purpose. In this way a shared understanding of variances among the various data sets has been presented in a very constructive manner that simply indicates where we are with regard to access to water, sanitation, electricity and refuse removal and the backlogs per municipality. Personnel from Stats SA, COGTA, relevant sector departments, National Treasury, South African Local Government Association (SALGA) and municipalities worked together under the umbrella of the Municipal Data Quality Improvement Programme to achieve this publication.

9

It is from this very basic presentation of service delivery information per municipality that our attention is drawn to some very interesting trends. The various information sources (GHS, 2008, CS 2007, DWEA, 2008, Municipalities, 2009) presented in this publication indicate that more than 80% of households in the country have access to water at a basic level of service which is a stand pipe within 200 metres from the household, as a minimum. With regard to sanitation more than 67% of households in the country have access to sanitation at a basic level of service which is a ventilated improved latrine per household, as a minimum. 72,7 % of households are connected to the grid (DME, 2008) and 59% of all households in the country have access to adequate refuse removal service at least once per week (CS, 2007). In terms of the percentage access of households to basic water, sanitation, electricity, and refuse removal the information for GHS (2007), CS (2007), DWEA (2008) and municipalities (2009) are variable, yet comparable in terms of the trends exhibited. The percentage variation among the various data sources may be due to: (i) differences in the date stamp, (ii) methodology by which the data was gathered by the different entities, (iii) variances in the total number of households and (iv) interpretation of service levels for water, sanitation, electricity and refuse removal and the application thereof. Comparative analysis of the backlog figures for water and sanitation indicate higher figures from municipal sources. Stats SA 2007, reporting 11,3% of households below a basic level of service, DWEA 2008, reporting 10,3% and Municipal sources reporting 19,3%. In terms of Free Basic Services, the information from Statistics SA underscores the coverage of free basic water, sanitation, electricity and refuse removal as reported by municipalities. The differences are attributable to ascertaining the actual number of indigent household per municipality and difference in methodology used to gather the data with regard to basic services. Whilst this publication deals with the quantification of the services backlog per sector, a parallel process addresses how individual households are experiencing all services. This is achieved through the development Universal Household Access to Basic Services (uHABS) Index. The uHABS index indicates service delivery progress with regard to water, sanitation, electricity and domestic refuse removal, as reported by households in the community survey 2007 (Annexure C). It is anticipated that this report will:

� Provide leadership on the measurement and monitoring of basic services and reporting on service delivery more accurately and more consistently.

� To communicate to communities, planning practitioners and decision-makers on the status and progress with regard to basic services.

10

1. Purpose of the Report

� The main purpose of this publication is to get a sense of the various information sources, and an appreciation of the differences in its methodology.

� Provide a base for robust debate and further work on streamlining processes to measure more consistently the status and progress with regard to basic services, as we gear to achieve universal access by 2014.

� Serve as an information source for planning and resource allocation between censuses.

2. Scope of the Report

� The report includes the status of basic services, namely water, sanitation, electricity and refuse removal for each municipality.

� Contextualise and understand the different data sources that exist.

3. Finding Common Ground for Reporting on Basic Services

The current practice is that national departments publish service delivery statistics pertaining to their mandate. While there is no specific legislation that prohibits this practice, a number of problems have been encountered, which are:

� Statistics on similar indicators tend to differ depending upon the reporting entity.

� There are no agreed upon standards for collecting and verifying data as well

as measuring performance, which affects the statistics and reporting derived from the data.

� There is no agreed upon approach regarding how the reporting of statistics

can be executed for the purpose of public consumption.

� The public and private sectors need to have a common statistical basis from which to plan and assess implementation programmes and progress. This cannot happen if the statistics are not authenticated or at least the process of data validation sanctioned by Stats SA has occurred.

� Against this background, it is clear that if publications with unreliable service

delivery statistics by more than one authority continue, the outcome will be further public confusion and will affect public confidence in statistics reported by government. The problem has already manifested itself on a number of occasions, resulting in members of the public, government and politicians

questioning the accuracy and consistency of government reporting with regard to service delivery statistics.

� As much as it is a constitutional mandate for each Ministry, sector

department, provincial department or municipality to discharge responsibility and accountability for their business mandate, including the publishing of statistics, there is a need to streamline and perfect the reporting system in a manner that will ensure integrity of statistics reported to government, the general public and the private sector.

� The COGTA in partnership with Stats SA seeks to find a solution to remedy

the problem of a lack of common methodologies towards the generation of statistics, to agree on a credible baseline and update data on basic services and infrastructure provision.

4. National Perspective

� One of the key priority projects of Government is the speeding up of community infrastructure with intensified efforts to accelerate universal access to water, sanitation and electricity. This implies that by 2014 there should be decent human settlements and access by all households to these services.

� 88,6% of the population in South Africa enjoyed access to piped water. All

provinces recorded an increase in the percentage of households that had access to piped water (based on the Community Survey, 2007).

� A little more than 60% of the households in South Africa had access to flush

toilets (based on the Community Survey, 2007). � Electricity for lighting has increased in all provinces, with 80% of households

in South Africa using electricity for lighting (based on the Community Survey, 2007).

� A total of 7,4 million households in South Africa had refuse removed at least

once a week (based on the Community Survey, 2007).

11

5. P

rovi

ncia

l Per

spec

tive

5.

1 W

ater

: Acc

ess

to b

asic

and

hig

her l

evel

s of

ser

vice

Ta

ble

1: W

ater

: acc

ess

to b

asic

and

hig

her l

evel

s of

ser

vice

STA

TIST

ICS

SOU

TH A

FRIC

A

PRO

VIN

CE

CEN

SUS

2001

G

ENER

AL

HO

USE

HO

LD

SUR

VEY

2007

C

OM

MU

NIT

Y SU

RVE

Y 20

07

DW

EA 2

008

MU

NIC

IPA

L SO

UR

CE

2008

To

tal n

o. o

f H

ouse

hold

s To

tal n

o. o

f ho

useh

olds

No.

of

hous

ehol

ds

rece

ivin

g ba

sic

and

high

er

leve

ls o

f se

rvic

e

Hou

seho

ld

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w

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, as

a pe

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tage

Tota

l no.

of

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ds

No.

of

hous

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ds

rece

ivin

g ba

sic

and

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ls o

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e

Hou

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w

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, as

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tage

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of

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of

hous

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No.

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hous

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sic

and

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, as

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72.7

%

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4,78

7 1,

122,

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%

1,59

8,99

4 1,

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360

84.1

%

1,63

4,64

2 1,

121,

554

68.6

%

Free

Sta

te

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873,

415

845,

000

96.7

%

802,

859

781,

072

97.3

%

795,

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784,

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98.6

%

770,

062

558,

953

72.6

%

Gau

teng

2,

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676

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6 3,

163,

000

97.5

%

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4,15

7 3,

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97.9

%

3,38

1,99

5 3,

272,

194

96.8

%

3,17

4,14

3 3,

118,

839

98.3

%

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ulu-

Nat

al

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3,49

8 2,

537,

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2,11

6,00

0 83

.4%

2,

231,

975

1,77

0,75

3 79

.3%

2,

451,

294

2,00

2,39

0 81

.7%

2,

317,

293

1,66

5,68

3 71

.9%

Lim

popo

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036

1,31

7,45

9 1,

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83.1

%

1,21

5,93

5 1,

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83.6

%

1,25

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3 1,

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937

80.0

%

1,31

9,75

5 1,

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79.1

%

Mpu

mal

anga

83

0,98

7 88

8,40

6 78

7,00

0 88

.6%

94

0,31

4 85

6,26

3 91

.1%

90

2,51

5 79

3,50

4 87

.9%

1,

024,

416

829,

965

81.0

%

Nor

th W

est

898,

740

943,

782

843,

000

89.3

%

911,

121

819,

443

89.9

%

925,

893

827,

685

89.4

%

924,

430

713,

807

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%

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ther

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ape

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633

293,

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278,

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94.7

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257,

130

243,

357

94.6

%

257,

279

237,

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92.5

%

273,

887

256,

342

93.6

%

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tern

Cap

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7,17

1 1,

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%

1,35

9,87

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%

1,42

2,72

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388,

941

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%

1,37

1,21

7 1,

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531

74.6

%

Gra

nd T

otal

11

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,636

13

,260

,928

11

,761

,000

88

.7%

12

,478

,152

11

,063

,370

88

.7%

12

,996

,300

11

,659

,407

89

.7%

12

,809

,845

10

,332

,339

80

.7%

12

Goal

� All households to have basic level of water by 2014. Indicator

� Number of households receiving basic level of water supply. Definition

� Higher level of service includes piped water inside dwelling. � Basic level of service includes piped water inside yard and piped water within

200m.

Data source

� Stats SA, Census 2001. � Stats SA, GHS – July 2007 survey based on households. � Stats SA, Community Survey February 2007 based on households. � DWEA ,2008, data based on updated census 2001 (households). � Municipal Source, 2009, data gathered via comprehensive infrastructure

planning in April 2009. Interpretation

� In terms of the percentage of households that have access to basic water the data sets for GHS (2007), CS (2007), DWEA (2008) and Municipal Source (2009) are variable, yet comparable in terms of the trends exhibited.

� The percentage variation may be due to: (I) Date stamp of the data; (II) Methodology by which the data were gathered; (III) Total number of households varying per data set; and (IV) Interpretation of the service levels for water and the application

thereof. Data note/explanatory note

� Data include the local municipalities, metropolitan municipalities and exclude

the District Management Areas (DMAs). � Household access to water figures determined by adding, households receiving

piped water inside dwelling, piped water inside yard and piped water within 200m.

� Table 1 reflects a summation of the unit data contained in Annexure D. � Number of households for any given year may vary due to methodology or

demographic model used.

13

5.2

Hou

seho

ld W

ater

Bac

klog

s Ta

ble

2: W

ater

: Hou

seho

ld B

ackl

ogs

ST

ATI

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UTH

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S 20

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07

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MM

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ITY

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2007

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WEA

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UN

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AL

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RC

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08

PRO

VIN

CE

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tal n

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f H

ouse

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s

Tota

l no.

of

hous

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ds

No.

of

hous

ehol

ds

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low

bas

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leve

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serv

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low

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s a

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hous

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ds

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g be

low

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ic

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serv

ice

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ba

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, as

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of

hous

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ds

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of

hous

ehol

ds

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g be

low

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ic

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serv

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ba

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, as

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ds

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low

ba

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, as

a

perc

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ge

East

ern

Cap

e 1,

506,

540

1,79

5,87

2 49

0,87

2 27

.3%

1,

584,

787

462,

478

29.2

%

1,59

8,99

4 25

4,63

4 15

.9%

1,

634,

642

513,

088

31.4

%

Free

Sta

te

758,

112

873,

415

28,4

15

3.3%

80

2,85

9 21

,787

2.

7%

795,

862

11,3

38

1.4%

77

0,06

2 21

1,10

9 27

.4%

Gau

teng

2,

889,

676

3,24

3,96

6 80

,966

2.

5%

3,17

4,15

7 65

,997

2.

1%

3,38

1,99

5 10

9,80

1 3.

2%

3,17

4,14

3 55

,304

1.

7%

Kw

aZul

u-N

atal

2,

233,

498

2,53

7,15

6 42

1,15

6 16

.6%

2,

231,

975

461,

222

20.7

%

2,45

1,29

4 44

8,90

4 18

.3%

2,

317,

293

651,

610

28.1

%

Lim

popo

1,

194,

036

1,31

7,45

9 22

2,45

9 16

.9%

1,

215,

935

198,

930

16.4

%

1,25

9,74

3 25

1,80

6 20

.0%

1,

319,

755

276,

090

20.9

%

Mpu

mal

anga

83

0,98

7 88

8,40

6 10

1,40

6 11

.4%

94

0,31

4 84

,051

8.

9%

902,

515

109,

011

12.1

%

1,02

4,41

6 19

4,45

1 19

.0%

Nor

th W

est

898,

740

943,

782

100,

782

10.7

%

911,

121

91,6

78

10.1

%

925,

893

98,2

08

10.6

%

924,

430

210,

623

22.8

%

Nor

ther

n C

ape

25

9,63

3 29

3,70

1 15

,701

5.

3%

257,

130

13,7

73

5.4%

25

7,27

9 19

,407

7.

5%

273,

887

17,5

45

6.4%

Wes

tern

Cap

e 1,

211,

414

1,36

7,17

1 38

,171

2.

8%

1,35

9,87

4 14

,866

1.

1%

1,42

2,72

5 33

,784

2.

4%

1,37

1,21

7 34

7,68

6 25

.4%

Gra

nd T

otal

11

,782

,636

13

,260

,928

1,

499,

928

11.3

%

12,4

78,1

52

1,41

4,78

2 11

.3%

12

,996

,300

1,

336,

893

10.3

%

12,8

09,8

45

2,47

7,50

6 19

.3%

14

Goal

� All households to have basic level of water by 2014. Indicator

� Number of households below basic level of water supply. Definition

� Below basic level constitutes a backlogs and includes, piped water further than 200m, springs, rain water tanks, dam/pool/stagnant water and water vendors.

Data source

� Stats SA, Census 2001. � Stats SA, GHS – July 2007 survey based on households. � Stats SA, Community Survey February 2007 based on households. � DWEA ,2008, data based on updated census 2001 (households). � Municipal Source , 2009, data gathered via comprehensive infrastructure


� In terms of the percentage of households with water backlog the data sets for

GHS (2007), CS (2007), DWEA (2008) and Municipal Source (2009) are variable, yet comparable in terms of the trends exhibited.

� The percentage variation may be due to:

(V) Date stamp of the data; (VI) Methodology by which the data were gathered; (VII) Total number of households varying per data set; and (VIII) Interpretation of what constitutes a backlog and the application

thereof

Data note/explanatory note � Data include the local municipalities, metropolitan municipalities and exclude

the DMAs. � Household water backlog figures determined by adding, piped water further

than 200m, springs, rain water tanks, dam/pool/stagnant water and water vendors.

� Table 2 reflects a summation of the unit data contained in Annexure D. � Number of households for any given year may vary due to methodology or


15

CEN

SUS,

200

1

TOTA

L IN

DIG

ENTS

H

OU

SEH

OLD

S(C

ensu

s 20

01)

Indi

gent

Hou

seho

lds

Rec

eivi

ng F

BW

Indi

gent

Hou

seho

lds

Rec

eivi

ng F

BW

, as

a Pe

rcen

tage

Indi

gent

Hou

seho

lds

Rec

eivi

ng F

BW

Indi

gent

Hou

seho

lds

Rec

eivi

ng F

BW

, as

a

Perc

enta

ge

Indi

gent

Hou

seho

lds

Rec

eivi

ng F

BW

Indi

gent

Hou

seho

lds

Rec

eivi

ng F

BW

, as

a Pe

rcen

tage

East

ern

Cap

e93

9,77

625

0,69

626

.7%

327,

596

34.9

%48

1,72

351

.3%

Free

Sta

te42

5,04

921

2,87

250

.1%

203,

525

47.9

%42

5,00

310

0.0%

Gau

teng

967,

539

303,

297

31.3

%24

5,60

325

.4%

869,

396

89.9

%K

waZ

ulu-

Nat

al1,

162,

490

323,

305

27.8

%88

3,62

176

.0%

807,

798

69.5

%Li

mpo

po74

4,67

620

1,60

127

.1%

637,

350

85.6

%50

8,09

268

.2%

Mpu

mal

anga

444,

112

253,

834

57.2

%22

4,69

050

.6%

273,

630

61.6

%N

orth

Wes

t44

0,73

330

6,27

569

.5%

112,

161

25.4

%27

6,90

962

.8%

Nor

ther

n C

ape

118,

194

67,9

2457

.5%

85,0

1971

.9%

81,0

5268

.6%

Wes

tern

Cap

e29

0,21

335

7,65

512

3.2%

118,

341

40.8

%20

7,30

971

.4%

Tota

l5,

532,

782

2,27

7,45

941

.2%

2,83

7,90

651

.3%

3,93

0,91

371

.0%

Indi

gent

Hou

seho

lds

Rec

eivi

ng F

BW

NFC

M, 2

007

STA

TIST

ICS

SOU

TH A

FRIC

AM

UN

ICIP

AL

SOU

RC

E, 2

008

DW

EA, 2

008

PRO

VIN

CE

5.3

Free

Bas

ic W

ater

Tabl

e 3:

Fre

e B

asic

Wat

er

Not

e: In

dige

nt h

ouse

hold

is a

hou

seho

ld th

at q

ualif

ies

to re

ceiv

e so

me

or a

ll ba

sic

serv

ices

for f

ree

beca

use

they

hav

e no

inco

me

or a

low

inco

me.

Thes

e ho

useh

olds

mus

t hav

e be

en id

entif

ied

by th

e m

unic

ipal

ity a

nd a

ppea

r on

the

indi

gent

regi

ster

, in

line

with

the

mun

icip

al in

dige

nt p

olic

y.

16

Goal

All indigent households to have access to Free Basic Water by 2014.

Indicator

Number of indigent households receiving Free Basic Water.

Definition

An amount of water determined by government that should be provided free to poor households to meet basic needs, currently set at 6kl per month per household.

Data source

Stats SA, Census 2001. Stats SA, NFCM - 2007, Survey-based municipalities – Stats SA. Municipal Source – 2008, based on municipality reports. DWEA – 2008, data based on updated census 2001 (households).

Interpretation

Bearing in mind methodological differences among the three Departments, households with access to Free Basic Water vary significantly across all the three Departments (Municipal Source, DWEA and Stats SA).

Difference in data collection methodology could be one of the factors affecting the households’ differentials across all three Departments (Municipal Source, DWEA and Stats SA).

One of the reasons that account for differences between DWEA and Municipal Source figure is due to the fact that COGTA only counts households receiving measured (6 kl) water per policy prescription, whereas DWEA’s statistics is inclusive of households receiving water by other means other than piped household connections.

Some municipalities extend the provision of FBW to households that are not indigent and this explains why some municipalities have provided FBW to 100% or more of the identified indigent households.

The percentage of households served with FBW (Table 3) is measured against the total indigent households from the Census 2001, the reason for this, is that this was adopted as the target the department had to service with FBS by 2014.

Data note/explanatory note

The table reflects data from Stats SA, COGTA and DWEA. Table 3 reflects a summation of the municipal unit data contained in Annexure E. There are different probable scenarios why there are hyphened (-) data cells on

FBW Annexure E, firstly it might be that the municipality or district in question is not providing the service(s) (most likely on the beneficiary columns) or secondly that there was no data provided (most likely the total households or indigent columns).

17

5.4

Acc

ess

to S

anita

tion

Tabl

e 4:

Acc

ess

to S

anita

tion

STA

TIST

ICS

SOU

TH A

FRIC

A

CEN

SUS

2001

G

ENER

AL

HO

USE

HO

LD

SUR

VEY

2007

C

OM

MU

NIT

Y SU

RVE

Y 20

07

DW

EA 2

008

MU

NIC

IPA

L SO

UR

CE

2008

PRO

VIN

CE

To

tal n

o. o

f H

ouse

hold

s To

tal n

o. o

f ho

useh

olds

No.

of

hous

ehol

ds

rece

ivin

g ba

sic

and

high

er

leve

ls o

f se

rvic

e

Hou

seho

ld

acce

ss to

sa

nita

tion,

as

a

perc

enta

ge

Tota

l no.

of

hous

ehol

ds

No.

of

hous

ehol

ds

rece

ivin

g ba

sic

and

high

er

leve

ls o

f se

rvic

e

Hou

seho

ld

acce

ss to

sa

nita

tion,

as

a

perc

enta

ge

Tota

l no.

of

hous

ehol

ds

No.

of

hous

ehol

ds

rece

ivin

g ba

sic

and

high

er le

vels

of

ser

vice

Hou

seho

ld

acce

ss to

sa

nita

tion,

as

a

perc

enta

ge

Tota

l no.

of

hous

ehol

ds

No.

of

hous

ehol

ds

rece

ivin

g ba

sic

and

high

er le

vels

of

ser

vice

Hou

seho

ld

acce

ss to

sa

nita

tion,

as

a pe

rcen

tage

East

ern

Cap

e 1,

506,

540

1,79

5,87

2 89

1,00

0 49

.6%

1,58

4,79

1

729,

375

46.0

%

1,

598,

994

1,0

85,0

47

67.9

%

1

,634

,642

8

38,6

32

51.3

%

Free

Sta

te

758,

112

873,

415

632,

000

72.4

%

80

2,87

3

546,

654

68.1

%

79

5,86

2

530

,346

66

.6%

7

70,0

62

573

,545

74

.5%

Gau

teng

2,

889,

676

3,24

3,96

6 2,

843,

000

87.6

%

3,17

4,15

2

2,72

0,42

7 85

.7%

3,38

1,99

5

2

,956

,398

87

.4%

3,1

74,1

43

2

,942

,706

92

.7%

Kw

aZul

u-N

atal

2,

233,

498

2,53

7,15

6 1,

620,

000

63.9

%

2,23

1,94

7

1,25

2,64

7 56

.1%

2,45

1,29

4

1

,847

,136

75

.4%

2,3

17,2

93

1

,479

,775

63

.9%

Lim

popo

1,

194,

036

1,31

7,45

9 44

1,00

0 33

.5%

1,

215,

941

36

1,20

6 29

.7%

1,25

9,74

3

593

,994

47

.2%

1,3

19,7

55

515

,765

39

.1%

Mpu

mal

anga

83

0,98

7 88

8,40

6 50

4,00

0 56

.7%

940,

309

47

7,71

1 50

.8%

902,

515

5

42,9

17

60.2

%

1

,024

,416

5

73,5

74

56.0

%

Nor

th W

est

898,

740

943,

782

557,

000

59.0

%

91

1,12

0

486,

658

53.4

%

92

5,89

3

601

,452

65

.0%

9

24,4

30

484

,291

52

.4%

Nor

ther

n C

ape

25

9,63

3 29

3,70

1 23

1,00

0 78

.7%

257,

125

19

5,19

0 75

.9%

257,

279

1

98,2

95

77.1

%

273

,887

2

18,7

14

79.9

%

Wes

tern

Cap

e 1,

211,

414

1,36

7,17

1 1,

270,

000

92.9

%

1,35

9,87

0

1,25

9,97

2 92

.7%

1,42

2,72

5

1

,332

,028

93

.6%

1,3

71,2

17

1

,012

,460

73

.8%

Gra

nd T

otal

11

,782

,636

13

,260

,928

8,

989,

000

67.8

%

12,

478,

128

8

,029

,840

64

.4%

12,9

96,3

00

9,6

87,6

13

74.5

%

12

,809

,845

8,6

39,4

62

67.4

%

18

Goal

� All households to have basic level of sanitation by 2014.

Indicator

� Number of households having access to basic level of sanitation. Definition

� Higher level of service includes, flush toilet connected to sewerage system � Basic level of service includes flush toilet with septic tank and PIT latrine with

ventilation.

Data source

� Stats SA, Census 2001. � Stats SA, GHS – July 2007 survey based on households. � Stats SA, Community Survey February 2007 based on households. � DWEA , 2008, data based on updated census 2001 (households). � Municipal Source, 2009, data gathered via comprehensive infrastructure


� In terms of the percentage of households that have access to basic sanitation

the data sets for GHS (2007), CS (2007), DWEA (2008) and Municipal Source (2009) are variable, yet comparable in terms of the trends exhibited.

� The percentage variation may be due to: (IX) Date stamp of the data; (X) Methodology by which the data were gathered; (XI) Total number of households varying per data set; and (XII) Interpretation of the service levels for sanitation and the application

thereof. Data note/explanatory note

� Data include the local municipalities, metropolitan municipalities and exclude the DMAs.

� Household access to sanitation figures determined by adding, households using flush toilet connected to sewerage system, flush toilet with septic tank and PIT latrine with ventilation.

� Table 4 reflects a summation of the unit data contained in Annexure F. � Number of households for any given year may vary due to methodology or

19


5.5

Sani

tatio

n B

ackl

ogs

Tabl

e 5:

San

itatio

n B

ackl

ogs

STA

TIST

ICS

SOU

TH A

FRIC

A

CEN

SUS

2001

G

ENER

AL

HO

USE

HO

LD S

UR

VEY

2007

C

OM

MU

NIT

Y SU

RVE

Y 20

07

DW

EA 2

008

MU

NIC

IPA

L SO

UR

CE

2008

PRO

VIN

CE

To

tal n

o. o

f H

ouse

hold

s

Tota

l no.

of

hous

ehol

ds

No.

of

hous

ehol

ds

rece

ivin

g be

low

a

basi

c le

vel

of s

ervi

ce

Hou

seho

ld

sani

tatio

n ba

cklo

gs,

as a

pe

rcen

tage

Tota

l no.

of

hous

ehol

ds

Com

mun

ity

Surv

ey

No.

of

hous

ehol

ds

rece

ivin

g be

low

a

basi

c le

vel

of s

ervi

ce

Hou

seho

ld

sani

tatio

n ba

cklo

gs,

as a

pe

rcen

tage

Tota

l no.

of

hous

ehol

ds

No.

of

hous

ehol

ds

rece

ivin

g be

low

a

basi

c le

vel

of s

ervi

ce

Hou

seho

ld

sani

tatio

n ba

cklo

gs,

as a

pe

rcen

tage

Tota

l no.

of

hous

ehol

ds

No.

of

hous

ehol

ds

rece

ivin

g be

low

a b

asic

le

vel o

f se

rvic

e

Hou

seho

ld

sani

tatio

n ba

cklo

gs,

as a

pe

rcen

tage

East

ern

Cap

e 1,

506,

540

1,79

5,87

2

889,

000

49.5

%

1,

584,

791

85

5,41

6 54

.0%

1,59

8,99

4

513,

947

32.1

%

1,

634,

642

79

6,01

0 48

.7%

Free

Sta

te

758,

112

873,

415

20

9,00

0 23

.9%

802,

873

25

6,21

9 31

.9%

795,

862

26

5,51

6 33

.4%

770,

062

19

6,51

7 25

.5%

Gau

teng

2,

889,

676

3,24

3,96

6

372,

000

11.5

%

3,

174,

152

45

3,72

5 14

.3%

3,38

1,99

5

425,

597

12.6

%

3,

174,

143

23

1,43

7 7.

3%

Kw

aZul

u-N

atal

2,

233,

498

2,53

7,15

6

892,

000

35.2

%

2,

231,

947

97

9,30

0 43

.9%

2,45

1,29

4

604,

158

24.6

%

2,

317,

293

83

7,51

8 36

.1%

Lim

popo

1,

194,

036

1,31

7,45

9

858,

000

65.1

%

1,

215,

941

85

4,73

5 70

.3%

1,25

9,74

3

665,

749

52.8

%

1,

319,

755

80

3,99

0 60

.9%

Mpu

mal

anga

83

0,98

7 88

8,40

6

337,

000

37.9

%

94

0,30

9

462,

598

49.2

%

90

2,51

5

359,

598

39.8

%

1,

024,

416

45

0,84

2 44

.0%

Nor

th W

est

898,

740

943,

782

37

2,00

0 39

.4%

911,

120

42

4,46

2 46

.6%

925,

893

32

4,44

1 35

.0%

924,

430

44

0,13

9 47

.6%

Nor

ther

n C

ape

25

9,63

3 29

3,70

1

26,0

00

8.9%

257,

125

61

,935

24

.1%

257,

279

58

,984

22

.9%

273,

887

55

,173

20

.1%

Wes

tern

Cap

e 1,

211,

414

1,36

7,17

1

67,0

00

4.9%

1,35

9,87

0

99,8

98

7.3%

1,42

2,72

5

90,6

97

6.4%

1,37

1,21

7

358,

757

26.2

%

Gra

nd T

otal

11

,782

,636

13

,260

,928

4,0

22,0

00

30.3

%

12

,478

,128

4,4

48,2

88

35.6

%

1

2,99

6,30

0

3,3

08,6

87

25.5

%

1

2,80

9,84

5

4

,170

,383

32

.6%

20

Goal

� All households to have basic level of sanitation by 2014. Indicator

� Number of households that have access to sanitation.

Definition

� Below basic level constitutes a backlog and includes chemical toilets, pit latrine without ventilation, bucket latrine and no sanitation facility.

Data source

� Stats SA, Census 2001. � Stats SA, GHS – July 2007 survey based on households. � Stats SA, Community Survey February 2007 based on households. � DWEA ,2008, data based on updated census 2001 (households). � Municipal Source, 2009 data gathered via comprehensive infrastructure

planning in April 2009.

Interpretation

� In terms of the percentage of households with sanitation backlog the data sets for GHS (2007), CS (2007), DWEA (2008) and Municipal Source (2009) are variable, yet comparable in terms of the trends exhibited.

� The percentage variation may be due to: (XIII) Date stamp of the data; (XIV) Methodology by which the data were gathered; (XV) Total number of households varying per data set; and (XVI) Interpretation of what constitutes a sanitation backlog and the

application thereof.


� Data includes the local municipalities, metropolitan municipalities and exclude the DMAs.

� Household sanitation backlog figures determined by adding households using chemical toilets, pit latrine without ventilation, bucket latrine and no sanitation facility.

� Table 5 reflects a summation of the unit data contained in Annexure F. � Number of households for any given year may vary due to methodology or


21

5.6

Free

Bas

ic S

anita

tion

Tabl

e 6:

Fre

e B

asic

San

itatio

n

Indi

gent

hou

seho

lds

bene

fitin

g fr

om in

dige

nt s

uppo

rt s

yste

m S

ewer

age

and

Sani

tatio

n

ST

ATI

STIC

S SO

UTH

AFR

ICA

PRO

VIN

CE

NFC

M, 2

007

TO

TAL

IND

IGEN

TS

HO

USE

HO

LDS

In

dige

nt h

ouse

hold

s be

nefit

ing

Indi

gent

hou

seho

lds

bene

fitin

g , a

s a

Perc

enta

ge

East

ern

Cap

e 41

5,83

8 21

8,84

7 52

.6%

Free

Sta

te

215,

878

185,

074

85.7

%

Gau

teng

30

3,35

1 29

4,27

0 97

.0%

Kw

aZul

u-N

atal

69

5,79

4 17

6,16

7 25

.3%

Lim

popo

45

2,01

4 10

7,80

9 23

.9%

Mpu

mal

anga

25

9,65

3 10

9,75

5 42

.3%

Nor

th W

est

325,

823

112,

246

34.4

%

Nor

ther

n C

ape

81,8

27

64,4

98

78.8

%

Wes

tern

Cap

e 35

9,54

4 35

2,88

8 98

.1%

Tota

l 3,

109,

722

1,62

1,55

4 52

.1%

Not

e: In

dige

nt h

ouse

hold

is a

hou

seho

ld th

at q

ualif

ies

to re

ceiv

e so

me

or a

ll ba

sic

serv

ices

for f

ree

beca

use

they

hav

e no

inco

me

or a

low

inco

me.

Th

ese

hous

ehol

ds m

ust h

ave

been

iden

tifie

d by

the

mun

icip

ality

and

app

ear o

n th

e in

dige

nt re

gist

er, i

n lin

e w

ith th

e m

unic

ipal

indi

gent

pol

icy.

22

Goal

� All indigent households to have access to FBS by 2014. Indicator

� Total indigent households benefiting from free basic sanitation services. Data source

� Stats SA, NFCM - 2007, survey-based municipalities. Interpretation

� Table 4 above shows the proportion of indigent households identified by municipalities and indigent households benefiting from indigent support system for the year ended 30 June 2007. Of the 3,1 million indigent households, 1,6 million (52,1%) indigent households benefited from indigent support of sewerage and sanitation services.


� All data on table 4 ‘Sewerage and Sanitation’ are drawn from one source, namely NFCM, 2007.

23

5.7

Acc

ess

to E

lect

ricity

Ta

ble

7: A

cces

s to

Ele

ctric

ity

C

ENSU

S 20

01

DM

E 20

08

Prov

ince

To

tal n

o. o

f Hou

seho

lds

To

tal n

o. o

f hou

seho

lds

N

o. o

f hou

seho

lds

conn

ecte

d to

the

Grid

H

ouse

hold

acc

ess

to

elec

tric

ity, a

s a

perc

enta

ge

East

ern

Cap

e 1,

506,

540

1

,643

,689

9

67,9

17

58.9

%

Free

Sta

te

758,

112

813

,693

6

11,8

24

75.2

%

Gau

teng

2,

889,

676

3

,069

,373

2,3

54,8

65

76.7

%

Kw

aZul

u-N

atal

2,

233,

498

2

,369

,367

1,5

56,7

97

65.7

%

Mpu

mal

anga

1,

194,

036

868

,892

6

35,0

26

73.1

%

Nor

ther

n C

ape

830,

987

261

,082

2

14,2

79

82.1

%

Lim

popo

89

8,74

0

1,2

36,8

10

896

,747

72

.5%

Nor

th W

est

259,

633

904

,184

7

08,3

63

78.3

%

Wes

tern

Cap

e 1,

211,

414

1

,303

,591

1,1

23,0

25

86.1

%

Gra

nd T

otal

11

,782

,636

1

2,47

0,68

2

9,0

68,8

43

72.7

%

24

Goal

� All households to have access to electricity by 2014. Indicator

� Number of households connected to grid network. Definition

� Higher level of service includes connection to the grid. � Basic level of service includes 10 Amp connection.

Data source

� Stats SA, Census 2001. � DE, 2008, data based on updated census 2001 (households).

Interpretation

� Data from DE, 2008 is not comparable with GHS (2007) and CS (2007) due to differences by which the data has been grouped and reported on GHS (2008) and CS (2007) report in terms of household access to electricity for cooking, lighting and heating, separately. For the purpose of this report a distinction is made between household connection to grid and non-grid (use of wood, coal and gas), which constitutes a backlog.



� Household access to electricity figures determined by considering only households that are connected to the grid.

� Table 7 reflects a summation of the unit data contained in Annexure G. � The total number of households for any given year may vary due to

methodology or demographic model used. � A negative sign preceding unit data in Annexure G denotes households

electrified as a result of the housing programme and consequently, the number of households receiving access to basic and higher levels may be reflected as greater than the actual number of households reflected some of these municipalities.

25

5.8

Elec

tric

ity B

ackl

ogs

Tabl

e 8:

Ele

ctric

ity B

ackl

ogs

C

ENSU

S 20

01

DM

E 20

08

Prov

ince

To

tal n

o. o

f Hou

seho

lds

To

tal n

o. o

f hou

seho

lds

N

o. o

f hou

seho

lds

belo

w a

bas

ic le

vel

of s

ervi

ce

Elec

tric

ity B

ackl

ogs,

as

a p

erce

ntag

e

East

ern

Cap

e 1,

506,

540

1

,643

,689

6

75,7

72

41.1

%

Free

Sta

te

758,

112

813

,693

2

01,8

69

24.8

%

Gau

teng

2,

889,

676

3

,069

,373

7

14,5

08

23.3

%

Kw

aZul

u-N

atal

2,

233,

498

2

,369

,367

8

12,5

70

34.3

%

Mpu

mal

anga

1,

194,

036

868

,892

2

33,8

66

26.9

%

Nor

ther

n C

ape

830,

987

261

,082

46,8

03

17.9

%

Lim

popo

89

8,74

0

1,2

36,8

10

340

,064

27

.5%

Nor

th W

est

259,

633

904

,184

1

95,8

21

21.7

%

Wes

tern

Cap

e 1,

211,

414

1

,303

,591

1

80,5

66

13.9

%

Gra

nd T

otal

11

,782

,636

1

2,47

0,68

2

3,4

01,8

38

27.3

%

26

Goal

� All households to have access to electricity by 2014. Indicator

� Number of households not connected to grid network. Definition

� Below Basic electrical supply constitutes a backlog and includes households using any of the following:

� Gas; � Paraffin; � Wood; and � Coal.

Data source

� Stats SA, Census, 2001. � DE, 2008 data based on updated census 2001 (households).

Interpretation

� Data from DE, 2008 is not comparable with GHS (2007) and CS, 2007 due to differences by which the data have been grouped and reported on. The General Household Survey, 2008 and Community Survey, 2007 report in terms of household access to electricity for cooking, lighting and heating, separately. For the purpose of this report a distinction is made between household connection to grid and non-grid (use of wood, coal and gas) which constitutes a backlog.



� Household electricity backlogs figures determined by adding households using gas, paraffin, wood and coal.

� Table 8 reflects a summation of the unit data contained in Annexure G. � The total number of households for any given year may vary due to

methodology or demographic model used.

27

5.9

Free

Bas

ic E

nerg

y

Tabl

e 9:

Fre

e B

asic

Ene

rgy

N

umbe

r of i

ndig

ent h

ouse

hold

s be

nefit

ing

from

Fre

e B

asic

Ene

rgy

STA

TIST

ICS

SOU

TH A

FRIC

A

CEN

SUS,

200

1 N

FCM

, 200

7 M

UN

ICIP

AL S

OU

RC

E, 2

008

PRO

VIN

CE

TO

TAL

IND

IGE

NT

S H

OU

SEH

OL

DS

Indi

gent

hou

seho

lds r

ecei

ving

FB

E

Indi

gent

hou

seho

lds

rece

ivin

g FB

E

Hou

seho

lds

Rec

eivi

ng F

BE

Hou

seho

lds R

ecei

ving

FB

E, a

s a

Perc

enta

ge

East

ern

Cap

e 93

9,77

6 24

2,11

0 25

.8%

34

8,33

8 37

.1%

Free

Sta

te

425,

049

191,

101

45.0

%

481,

939

113.

4%

Gau

teng

96

7,53

9 29

7,20

5 30

.7%

80

0,06

4 82

.7%

Kw

aZul

u-N

atal

1,

162,

490

149,

228

12.8

%

277,

702

23.9

%

Lim

popo

74

4,67

6 87

,890

11

.8%

31

6,21

5 42

.5%

Mpu

mal

anga

44

4,11

2 64

,725

14

.6%

21

9,51

0 49

.4%

Nor

th W

est

440,

733

122,

987

27.9

%

97,8

95

22.2

%

Nor

ther

n C

ape

118,

194

60,1

23

50.9

%

88,9

83

75.3

%

Wes

tern

Cap

e 29

0,21

3 35

2,61

2 12

1.5%

59

5,49

8 20

5.2%

Tota

l 5,

532,

782

1,56

7,98

1 28

.3%

3,

226,

144

58.3

%

Not

e: In

dige

nt h

ouse

hold

is a

hou

seho

ld th

at q

ualif

ies

to re

ceiv

e so

me

or a

ll ba

sic

serv

ices

for f

ree

beca

use

they

hav

e no

inco

me

or a

low

inco

me.

Th

ese

hous

ehol

ds m

ust h

ave

been

iden

tifie

d by

the

mun

icip

ality

and

app

ear o

n th

e in

dige

nt re

gist

er, i

n lin

e w

ith th

e m

unic

ipal

indi

gent

pol

icy.

28

Goal

� All indigent households to have access to FBE by 2014. Indicator

� Total number of indigent households receiving FBE. Definition

� An amount of electricity determined by government that should be provided free to poor households to meet basic needs, currently set at 50kW per month per household.

Data source

� Stats SA, Census 2001. � Municipal Source, 2008, based on Municipality and Eskom reports. � Stats SA, NFCM - 2007, Survey based municipalities.

Interpretation

� Large percentage variation (51,4%) between the NFCM 2007 and COGTA 2008 data sets.

� The large scale percentage variation could be attributed to methodological difference in data collection.

� Some municipalities extend the provision of FBE to households that are not indigent and this explains why some municipalities have provided FBE to 100% or more of the identified indigent households.

� The percentage of households served with FBE (Table 9) is measured against the total number of indigent household from the Census 2001, the reason for this is that, this figure was adopted by the department as the target of households to be serviced with FBS by 2014.


� Data from both Departments dates. � The difference between the figures resulted from the different definitions and

reference period used to report the data. � Table 9 reflects a summation of the unit data contained in Annexure Free Basic

Energy. � There are different probable scenarios why there are hyphened (-) data cells on

FBE Annexure H, firstly it might be that the municipality or district in question is not providing the service(s) (most likely on the beneficiary columns) or secondly that there was no data provided (most likely the total households or indigent columns).

29

5.10

Ref

use

Rem

oval

Ta

ble

10: R

efus

e R

emov

al

ST

ATI

STIC

S SO

UTH

AFR

ICA

Prov

ince

To

tal n

o. o

f H

ouse

hold

s C

ensu

s 20

01

Tota

l no.

of h

ouse

hold

s G

ener

al H

ouse

hold

Sur

vey

(GH

S, 2

007)

No.

of h

ouse

hold

s re

ceiv

ing

basi

c an

d hi

gher

leve

ls o

f se

rvic

e (G

HS,

200

7)

Hou

seho

ld

acce

ss to

re

fuse

rem

oval

(G

HS,

200

7), a

s a

perc

enta

ge

Tota

l no.

of

hous

ehol

ds

Com

mun

ity

Surv

ey (C

S, 2

007)

No.

of

hous

ehol

ds

rece

ivin

g ba

sic

and

high

er le

vels

of

ser

vice

(CS,

20

07)

Hou

seho

ld

acce

ss to

re

fuse

rem

oval

(C

S, 2

007)

, as

a

perc

enta

ge

East

ern

Cap

e 1,

506,

540

1,79

5,87

2 68

5,00

0 38

.1%

1,58

3,80

2

586,

539

37.0

%

Free

Sta

te

758,

112

873,

415

651,

000

74.5

%

80

2,86

1

597,

249

74.4

%

Gau

teng

2,

889,

676

3,24

3,96

6 2,

756,

000

85.0

%

3,

174,

153

2,

691,

334

84.8

%

Kw

aZul

u-N

atal

2,

233,

498

2,53

7,15

6 1,

236,

000

48.7

%

2,

231,

961

1,

125,

159

50.4

%

Lim

popo

1,

194,

036

1,31

7,45

9 22

2,00

0 16

.9%

1,21

5,92

9

214,

605

17.6

%

Mpu

mal

anga

83

0,98

7 88

8,40

6 38

6,00

0 43

.4%

940,

314

37

2,53

0 39

.6%

Nor

th W

est

898,

740

943,

782

461,

000

48.8

%

91

1,12

6

478,

842

52.6

%

Nor

ther

n C

ape

25

9,63

3 29

3,70

1 22

8,00

0 77

.6%

257,

111

18

3,50

0 71

.4%

Wes

tern

Cap

e 1,

211,

414

1,36

7,17

1 1,

221,

000

89.3

%

1,35

9,86

4

1,22

8,57

6 90

.3%

G

rand

Tot

al

11,7

82,6

36

13,2

60,9

28

7,84

6,00

0 59

.2%

12,

477,

121

7,

478,

334

59.9

%

30

Goal

� All households to have access to refuse removal by 2014. Indicator

� Number of households receiving refuse removal service at least once a week.

Definition

� Higher level of service includes removal by local authorities/private company at least once a week.

� Basic level of service includes a communal skip.

Data source

� Stats SA, Census, 2001. � Stats SA, GHS, 2007 – July 2007 survey based on households. � Stats SA, Community Survey 2007, February 2007 based on households.

Interpretation

The GHS, 2007 and Community Survey 2007 are comparable as both data sets are from the same source and reflects data of the same year.

The percentage variation may be due to: (XVII) Methodology by which the data were gathered; (XVIII) Total number of households varying per data set; and (XIX) Interpretation of the service levels for refuse removal and the



� Data include the local municipalities, metropolitan municipalities and exclude the DMAs.

� Household access to refuse removal service figures are determined by considering only households receiving refuse removal service at least once a week.

� Table 11 reflects a summation of the unit data contained in Annexure I. � The total number of households for any given year may vary due to

methodology or demographic model used.

31

5.11

Ref

use

Rem

oval

Bac

klog

s Ta

ble

11: R

efus

e R

emov

al B

ackl

ogs

ST

ATI

STIC

S SO

UTH

AFR

ICA

Prov

ince

To

tal n

o. o

f H

ouse

hold

s C

ensu

s 20

01

Tota

l no.

of h

ouse

hold

s G

ener

al H

ouse

hold

Sur

vey

(GH

S, 2

007)

No.

of h

ouse

hold

s re

ceiv

ing

belo

w a

bas

ic le

vel o

f se

rvic

e (G

HS,

200

7)

Hou

seho

ld

acce

ss to

re

fuse

rem

oval

(G

HS,

200

7), a

s a

perc

enta

ge

Tota

l no.

of

hous

ehol

ds

Com

mun

ity S

urve

y 20

07 (C

S, 2

007)

No.

of

hous

ehol

ds

rece

ivin

g be

low

a

basi

c le

vel o

f se

rvic

e (C

S,

2007

)

Hou

seho

ld

refu

se re

mov

al

back

logs

CS,

20

07),

as a

pe

rcen

tage

East

ern

Cap

e 1,

506,

540

1,79

5,87

2

1,11

1,00

0

61.9

%

1,

583,

802

99

7,26

3 63

.0%

Free

Sta

te

758,

112

873,

415

22

2,00

0

25.4

%

80

2,86

1

205,

612

25.6

%

Gau

teng

2,

889,

676

3,24

3,96

6

488,

000

15

.0%

3,17

4,15

3

482,

819

15.2

%

Kw

aZul

u-N

atal

2,

233,

498

2,53

7,15

6

1,30

1,00

0

51.3

%

2,

231,

961

1,

106,

802

49.6

%

Lim

popo

1,

194,

036

1,31

7,45

9

1,09

6,00

0

83.2

%

1,

215,

929

1,

001,

324

82.4

%

Mpu

mal

anga

83

0,98

7 88

8,40

6

502,

000

56

.5%

940,

314

56

7,78

4 60

.4%

Nor

th W

est

898,

740

943,

782

48

3,00

0

51.2

%

91

1,12

6

432,

284

47.4

%

Nor

ther

n C

ape

25

9,63

3 29

3,70

1

65,0

00

22.1

%

25

7,11

1

73,6

11

28.6

%

Wes

tern

Cap

e 1,

211,

414

1,36

7,17

1

146,

000

10

.7%

1,35

9,86

4

131,

288

9.7%

Gra

nd T

otal

11

,782

,636

13

,260

,928

5

,414

,000

40

.8%

1

2,47

7,12

1

4

,998

,787

40

.1%

32

Goal

� All households to have access to refuse removal by 2014. Indicator

� Number of households receiving refuse removal service after a week or never.

Definition

� Below a basic service for refuse removal includes, removal by local authority/private company less often, communal refuse dump, own refuse dump, no rubbish disposal and other.

Data source

� Stats SA, Census 2001. � Stats SA, GHS – July 2007 survey based on households. � Stats SA, Community Survey 2007, February 2007 based on households.

Interpretation

� The GHS, 2007 and Community Survey 2007 are comparable as both data sets are from the same source and reflects data of the same year.

� The percentage variation may be due to: (XX) Total number of households varying per data set; and (XXI) Interpretation of what constitutes a refuse removal backlog and the



� Data include the local municipalities, metropolitan municipalities and exclude the DMA.

� Household refuse removal backlog figures determined by adding removal by local authority/private company less often, communal refuse dump, own refuse dump, no rubbish disposal and other.

� Table 10 reflects a summation of the municipal unit data contained in Annexure I. � The total number of households for any given year may vary due to methodology

or demographic model used.

33

5.12

Ref

use

Rem

oval

Ta

ble

12: F

ree

Bas

ic R

efus

e R

emov

al

In

dige

nt h

ouse

hold

s be

nefit

ing

from

indi

gent

sup

port

sys

tem

: Ref

use

Rem

oval

ST

ATI

STIC

S SO

UTH

AFR

ICA

N

FCM

200

7

PRO

VIN

CE

TOTA

L IN

DIG

ENTS

HO

USE

HO

LDS

Indi

gent

hou

seho

lds

bene

fitin

g In

dige

nt h

ouse

hold

s be

nefit

ing

as

a pe

rcen

tage

East

ern

Cap

e 41

5,83

8 22

0,78

3 53

.1%

Free

Sta

te

215,

878

187,

067

86.7

%

Gau

teng

30

3,35

1 29

4,39

3 97

.0%

Kw

aZul

u-N

atal

69

5,79

4 19

4,40

4 27

.9%

Lim

popo

45

2,01

4 68

,193

15

.1%

Mpu

mal

anga

25

9,65

3 11

0,11

5 42

.4%

Nor

th W

est

325,

823

142,

286

43.7

%

Nor

ther

n C

ape

81,8

27

64,5

34

78.9

%

Wes

tern

Cap

e 35

9,54

4 35

3,80

4 98

.4%

Tota

l 3,

109,

722

1,63

5,57

9 52

.6%

N

ote:

Indi

gent

hou

seho

ld is

a h

ouse

hold

that

qua

lifie

s to

rece

ive

som

e or

all

basi

c se

rvic

es fo

r fre

e be

caus

e th

ey h

ave

no in

com

e or

a lo

w in

com

e.

Thes

e ho

useh

olds

mus

t hav

e be

en id

entif

ied

by th

e m

unic

ipal

ity a

nd a

ppea

r on

the

indi

gent

regi

ster

, in

line

with

the

mun

icip

al in

dige

nt p

olic

y.

34

Goal � All indigent households to have access to FBS by 2014.

Indicator

� Total indigent households benefiting from refuse removal services. Definition

� The basic refuse removal service level is defined as the most appropriate level of waste removal service provided based on site specific circumstances. Such a basic level of service, be it in an urban or rural set-up, is attained when a municipality provides or facilitates waste removal through:

� On-site appropriate and regularly supervised disposal (applicable mainly to

remote rural areas with low density settlements and farms supervised by the waste management officer);

� Community transfer to central collection point (medium density settlements); � Organised transfer to central collection points and/or Kerbside collection (high

density settlements); and � Mixture of ‘b’ and ‘c’ above for the medium to high density settlements.

Data source

� Stats SA, NFCM - 2007, Survey based municipalities. � Table 12 reflects a summation of the municipal unit data contained in Annexure

Refuse removal.

Interpretation

� Table 5 above shows the proportion of indigent households identified by municipalities and indigent households benefiting from indigent support systems for the year ended 30 June 2007. Of the 3,1 million indigent households, 1.6 million (52,6%) indigent households benefited from indigent support of Refuse Removal services.


� All data on table 5 ‘Refuse Removal’ are drawn from one source, namely NFCM, 2007.

35

36

6. Application and Use of the Report � Provide leadership on the measurement and monitoring of basic services that is

transparent. � Share with communities, planning practitioners, decision-makers the status and

progress with regard to basic services. � Provide baseline information to planning practitioners. � Collectively improve reporting on service delivery more accurately and more

consistently. � Provide a basis to improve integrity of service delivery data across the spheres

of government.

37

ANNEXURE A: DATA COLLECTION METHODOLOGY This document outlines the comparisons between the data obtained from the following publications and departments: Non-Financial Census of Municipalities (NFC), General Household Survey (GHS), Community Survey (CS), the Department of Water and Environmental Affairs (DWEA), Department of Energy (DE) and the municipalities through the CIP process. The reporting outlines the methodology used in each of the publications stated below. It should be noted that the data may not be consistent for a number of reasons including the use of different data item definitions, classifications, scope, reference period, etc.

� General Household Survey (GHS) The sample design used by GHS was based on a Master Sample (MS) and was developed specifically for the households sample survey. A multi-stage stratified areas probability sample was used and stratification was done per province and according to district councils within provinces. Approximately 3 000 Primary Sampling Units (PSUs) were selected. In each selected PSU a systematic sample of ten dwelling units was drawn, thus, resulting in approximately 30 000 dwelling units. All households in the sampled dwelling were enumerated.

� Community Survey (CS) Community Survey (CS) uses two-stage stratified random sampling. Given that the main objective of the survey was to provide data at municipality level, each municipality was considered as an explicit stratum at the first stage. The second stage involved the selection of enumeration areas (EAs) within each municipality. EAs were used in drawing up the sample for the 2001 census. The systematic simple random sampling method was used to select EAs. Out of 80 787 EAs, 79 466 were considered for sampling. A total of 1 321 EAs, of which 919 were institutions and 402 were recreational areas, was excluded. The final selected sample size for the survey was 17 098 EAs, translating to 274 344 sampled District Units (DU).

� Department of Water and Environmental Affairs (DWEA ) In 1994 the Department of Water Affairs and Forestry (DWAF) received the mandate, through the White Paper on Water Supply and Sanitation Policy: “to ensure that all South Africans have equitable access to basic water supply and sanitation services” specifically focusing on basic services and rural development. In 1997 the Water Services Act changed this challenge to “ensure that all South Africans have equitable access to effective, economical and sustainable water supply and sanitation services”. This meant that higher levels of service needed to be addressed in addition to the basic services.

38

In order to understand the challenge, the Department mobilised a national team to gather information on water services and related issues. The purpose of this study was to serve as a platform to understand South Africa in all its water services related demographic aspects and to make the data available to all interested parties. The results of this were captured in a database, which is currently maintained and updated. The methodology used to update estimated population/household, water and sanitation services levels is discussed in some detail below: Population The estimated population figures are based on the results of Census 2001 and are updated by DWAF annually using Stats SA population growth parameters as follows: Using the census totals for 1996 and 2001, exponential growth of the population was assumed and the inter census growth rate, r, was obtained using the equation below: P t2 = P t1 * exp[r * (t2 – t1)] where 1 is the initial time and 2 is the final time. Hence, r = 0.2* log e (P 2001 / P 1996 ) The assumption was made that r (the growth rate obtained between the 1996 and 2001 datasets) had remained constant. Community level populations are projected from 2001 to 2009/current year and backwards towards 1994 (once off) using the calculated growth rate. Water Supply & Sanitation Service Levels DWAF negotiated with Stats SA to gather information on water and sanitation supply service levels to South Africans during the Census 1996 and 2001 as well as the Community Survey 2007 and annual General Household Surveys. The baseline water supply and sanitation service levels are updated by DWAF annually based on the following:

o Service levels are updated with the results of actual project delivery through implementation – MIG information;

o Should no actual project delivery figures be available, the delivery is calculated based on the financial allocation on municipal level (financial allocation / average unit cost = possible delivery based on the assumption that finances are used appropriately);

39

o Bucket system delivery is updated monthly based on actual delivery progress as provided by a management consultant responsible for project implementation; and

o Sanitation delivery figures are improved by quarterly inputs from the DWAF Sanitation Unit (based on information received from regional sanitation coordinators who are tasked with the responsibility of monitoring sanitation project implementation at local government level).

Actual water supply and sanitation service levels are used to derive/calculate the backlogs annually. DWAF ensures alignment with other stakeholders by comparison to other stakeholder data such as Stats, SA GHS & CS as well as DPLG and DBSA. People/households served with Free Basic Water are updated in real time (using a system developed by DWA) by Provincial Support Units (PSU’s) with delivery figures provided by Municipalities. Delivery is broken down into service levels: Above RDP, at RDP, below RDP and households/population with no access to formal water infrastructure.

� Department of Energy (DE) The number of households and backlog in electricity connections are based on the 2001 census figures. These figures were then used to calculate the estimated backlog as at October 2001. Actual connections, as provided by Eskom and the Department of Energy (DE) (Municipal Programme) for the period November 2001 and December 31 to March 2006, were deducted from estimated backlogs as at October 2006 to provide an estimated electrification backlog up to 31 March 2006 (Growth in household numbers of 2% were recommended by Stats SA). The Department has now revised the growth in household’s number i.e. 1% for rural municipalities and 2% for metros, bigger towns and municipalities that share its borders with other African countries. Every year the actual connections from the Eskom programme and the Municipality programme (per municipality) are deducted from the previous year’s figures. The electricity backlog status is released once per annum (beginning of each financial year) as electricity connections on both programmes run for a year and are aligned with (DE) financial year.

� Non-Financial Census of Municipalities The Non-Financial Census of Municipalities (NFCM) collects information directly from municipalities. The methods used for collection included personal visits, telephone calls, facsimiles, e-mails and post. All 283 municipalities were covered in this census for 2007. A response rate of 100% was attained. NFCM data are not necessarily

40

comparable with the Stats SA population census of 2001 and/or household survey data, mainly due to the following: o The data source is municipalities as opposed to households; and o The different definitions of 'household'. Most municipalities do not have a system

for identifying multiple households served by one billing unit or delivery point.

� Municipal Source

o Basic Services

The Municipal Comprehensive Infrastructure Plan (CIP) provides a strategic plan for addressing the long-term sustainability of infrastructure in a municipality. It is therefore closely linked to the availability of accurate data on assets and service levels in a municipality. It is thus crucial that the most recent, accurate data be used in compiling such plans. However, various studies, projects, and programmes are conducted in municipalities, by provinces, and even from a national perspective to provide planning information to various implementers of projects. The result of this is that some discrepancies may exist between data sets for different services. In compiling the CIPs the objective was to ensure that all such sources of data are aligned, and that the most recent data could be used. To this end, a process had been developed that was based upon the following principles: � The most recent data on service levels were obtained from Stats SA: the data at

ward level was used from the 2001 Census and this was augmented with summary data (at municipal level) from the 2007 Community Survey. A similar growth rate was assumed across all wards;

� All sector departments were asked to provide their latest backlog statistics and, where possible, these were then used to align the service level data;

� The data were then distributed to the municipalities, who were asked to update the data based upon local inputs;

� Apart from having to confirm (or adjust) these backlog figures, municipalities also had to identify projects that would address these backlogs; and

� The final data were then compared with national level statistics provided by sector departments (where available) again, and adjusted where required.

o Free Basic Services The FBS data collection questionnaire/template is updated and dispatched to local municipalities via facsimile, e-mail, post and other instances. Municipalities are then expected to complete the questionnaire with data depicting current status of FBS

41

beneficiaries. After the questionnaire is completed as a control measure, the Municipal Managers are expected to sign the questionnaire giving consent to the data provided by their officials. Where a selected unit does not respond in a given survey period, a value for the previous quarter is reported on. If data is subsequently provided, the previous value/figure is replaced with reported data. The data collection instrument used by COGTA in collecting FBW statistics is limited only to indigents receiving 6kl, thus those that have access to metered water supply. Indigent households who receive water through communal stand pipes, water tankers and boreholes are not included. COGTA then receives the questionnaire, before it is captured into an Excel data sheet, previous questionnaires are compared with the latest responses from municipalities. If any inconsistencies are detected municipalities are called upon to provide explanation as a means of verification. Once the cross-checking process is complete, data is captured into an Excel spreadsheet. Once data capturing is complete, a process of verifying whether the data was captured as depicted on questionnaires resumes thereafter to ensure that no data was entered incorrectly. After the verification process, the COGTA then analyses the data and report are compiled. Once reports are approved by the authorized management team, it is ready to be published.

42

ANNEXURE B: DATA QUALITY IMPROVEMENT PROGRAMME Overview The Municipal Data Quality Improvement Programme focuses on working towards producing and publishing a credible service delivery baseline and to update data on basic local government services and infrastructure delivery. This will result in evidence-based and more consistent reporting and monitoring of service delivery across all spheres of government. Objectives The objectives of the Programme are:

� to assess the quality and coverage of data from the registers and administrative

records of municipalities; � to develop processes of improving the quality of the registers and

administrative records data of municipalities to become sustainable sources for quality data;

� to strengthen the information management systems in municipalities so that they will become suitable for production of quality data; and

� to identify and adopt mechanisms for aligning the collection of data in the municipalities with the reporting requirements of the COGTA and other stakeholders.

Outcomes

The outcomes of the Programme are: � Sustained maintenance of the production of quality statistics on basic services

and infrastructure backlogs and progress; � improved data production systems and statistical skills in municipalities and in

the COGTA; � COGTA capacity to generate statistics that can be compared with related

statistics in the NSS; � COGTA capacity to generate quality statistics for internal departmental

use; � Credible service delivery baseline and update data in respect of basic services

and municipal infrastructure backlogs and progress; � Improved validity of allocation of resources; � improved service delivery planning and management decision-making; � IDPs with quality baseline and updated statistical information; and � credible government-wide information for reporting on, and monitoring of basic

services and municipal infrastructure backlogs.

43

ANNEXURE C: uHABS INDEX Universal Household Access to Basic Services (uHABS) Index. In parallel with the Data Quality Improvement Programme, COGTA has developed a Universal Household Access to Basic Services (uHABS) Index with assistance from the Support Programme for Accelerated Infrastructure Development (SPAID) ), which is a joint Presidency / Business Trust Initiative. The Index is being developed in recognition of the fact that an important aspect of the success or failure of the government’s programme of service delivery is the ways in which such efforts are communicated to stakeholders. Proactive and full communication breeds confidence that the issues of service delivery backlog are being consistently addressed, which will in turn garner support for service delivery efforts. The uHABS Index is a vital tool in ensuring that such communication happens clearly and effectively, in a way understood by all. The key objective for the uHABS index is therefore to be an indicator for independently measuring and communicating the extent and nature of basic service backlogs in communities and demonstrating progress in addressing these service backlogs. The index will enable a broad-based and consistent understanding of the challenges of and progress on the eradication of basic services infrastructure backlogs amongst defined audiences, and will also enable responsible authorities to participate in the uniform reporting framework. The uHABS Index indicates service delivery progress in respect of water, sanitation, electricity and domestic refuse removal, as reported by households. The Index is based on Stats SA data (Census, Community and Household Surveys). The use of the Stats SA data for the uHABS index has the advantage of representing the perspective of households and end-users with regards to what they perceive to be their level of access to services. It also has the advantage of providing trend data for district municipalities and provinces since 1996. The uHABS Index does not engage in any sourcing or cleaning up of data, but only utilises official data agreed and released by Stats SA. The presentation of performance and levels of access to basic services in the uHABS Index is based on the application of the minimum level for norms and standards in respect of service delivery as prepared by the COGTA and documented in this publication.

44

ANNEXURE D: ACCESS TO WATER

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48

49

ANNEXURE E: FREE BASIC WATER

Tota

l Hou

seho

lds

Tota

l Ind

igen

ts

Hou

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lds

Tota

l Hou

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rianc

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M

unic

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tal I

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Serv

ed

Tota

l Ind

igen

t H

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ved

as

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er h

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hold

s Se

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Tota

l H

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s Se

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Tota

l Hou

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ed a

s a

perc

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Eas

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Am

ahla

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34,7

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29

7

14,7

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155

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16

86.6

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aste

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Dis

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9

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Eas

tern

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Buf

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Eas

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Cap

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Mun

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Cap

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Gre

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Cap

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Chr

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Chr

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40,8

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Chr

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Dis

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Dis

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Nel

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Nel

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Am

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Dis

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ma

9,2

29

4,33

2

9,

703

3,

392

940

3,

392

78.3

%4,

620

8,01

2

18

4.9%

Nor

ther

n C

ape

Pix

ley

Ka

Sem

e D

istri

ct M

unic

ipal

ityS

iyat

hem

ba

4

,182

1,

944

4,

261

2,

114

(170

)

2,

114

108.

7%-

2,

114

108.

7%N

orth

ern

Cap

eFr

ance

s B

aard

Dis

trict

Mun

icip

ality

Sol

Pla

atjie

5

1,10

4 19

,756

53,2

56

9,

865

9,89

1

9,

865

49.9

%40

,685

50

,550

25

5.9%

Nor

ther

n C

ape

Pix

ley

Ka

Sem

e D

istri

ct M

unic

ipal

ityTh

embe

lihle

3,4

90

1,48

7

3,

667

1,

192

295

1,

200

80.7

%-

1,

200

80.7

%N

orth

ern

Cap

eS

iyan

da D

istri

ct M

unic

ipal

ityTs

ants

aban

e

5

,840

2,

450

5,74

2

2,48

0

(3

0)

2,47

4

10

1.0%

-

2,47

4

10

1.0%

Nor

ther

n C

ape

Pix

ley

Ka

Sem

e D

istri

ct M

unic

ipal

ityU

bunt

u

4

,267

1,

910

4,24

9

1,56

0

35

0

1,56

0

81

.7%

-

1,56

0

81

.7%

Nor

ther

n C

ape

Pix

ley

Ka

Sem

e D

istri

ct M

unic

ipal

ityU

mso

bom

vu

5

,909

3,

330

6,11

3

2,34

7

98

3

2,34

7

70

.5%

2,81

5

5,

162

155.

0%W

este

rn C

ape

Cen

tral K

aroo

Dis

trict

Mun

icip

ality

Bea

ufor

t Wes

t9,

103

73

9

10,8

04

2,

957

(2,2

18)

3,

698

500.

4%-

3,

698

500.

4%W

este

rn C

ape

Wes

t Coa

st D

istri

ct M

unic

ipal

ityB

ergr

ivie

r13

,362

2,55

7

14

,739

-

2,55

7

-

0.

0%-

-

0.

0%W

este

rn C

ape

Ede

n D

istri

ct M

unic

ipal

ityB

itou

8,94

4

2,88

1

11

,363

-

2,88

1

2,

036

70.7

%-

2,

036

70.7

%W

este

rn C

ape

Cap

e W

inel

ands

Dis

trict

Mun

icip

ality

Bre

ede

Riv

er W

inel

ands

21,2

15

6,

122

25,7

64

4,

048

2,07

4

3,

589

58.6

%9,

521

13,1

10

214.

1%W

este

rn C

ape

Cap

e W

inel

ands

Dis

trict

Mun

icip

ality

Bre

ede

Val

ley

35,0

96

8,

746

41,3

54

5,

422

3,32

4

5,

422

62.0

%13

,769

19

,191

219.

4%W

este

rn C

ape

Ove

rber

g D

istri

ct M

unic

ipal

ityC

ape

Agu

lhas

7,65

3

1,80

3

9,

170

1,

950

(147

)

7,

637

423.

6%5,

133

12,7

70

708.

3%W

este

rn C

ape

Wes

t Coa

st D

istri

ct M

unic

ipal

ityC

eder

berg

11,2

20

3,

123

12,8

63

-

3,

123

-

0.0%

-

-

0.0%

Wes

tern

Cap

eC

ity o

f Cap

e To

wn

City

of C

ape

Tow

n77

8,23

7

183,

997

92

4,22

4

101,

294

82,7

03

-

0.0%

-

-

0.0%

Wes

tern

Cap

eC

ape

Win

elan

ds D

istri

ct M

unic

ipal

ityD

rake

nste

in46

,266

9,90

9

53

,044

29,3

96

(19,

487)

30

,024

30

3.0%

-

30,0

24

303.

0%W

este

rn C

ape

Ede

n D

istri

ct M

unic

ipal

ityG

eorg

e36

,191

10,3

47

44

,111

10,1

53

194

12

,723

12

3.0%

30,2

77

43,0

00

415.

6%W

este

rn C

ape

Ede

n D

istri

ct M

unic

ipal

ityH

asse

qua

12,6

64

3,

192

15,2

60

4,

051

(859

)

4,

051

126.

9%15

,705

19

,756

61

8.9%

Wes

tern

Cap

eE

den

Dis

trict

Mun

icip

ality

Kan

nala

nd6,

156

2,

190

7,39

3

-

2,19

0

1,

263

57.7

%2,

617

3,88

0

17

7.2%

Wes

tern

Cap

eE

den

Dis

trict

Mun

icip

ality

Kny

sna

14,9

72

4,

316

18,1

31

10

,500

(6

,184

)

1,57

2

36

.4%

13,2

48

14,8

20

343.

4%W

este

rn C

ape

Cen

tral K

aroo

Dis

trict

Mun

icip

ality

Lain

gsbu

rg1,

945

82

4

2,30

8

751

73

73

9

89.7

%25

9

998

12

1.1%

Wes

tern

Cap

eW

est C

oast

Dis

trict

Mun

icip

ality

Mat

zika

ma

14,4

97

1,

176

17,5

68

1,

400

(224

)

1,

134

96.4

%6,

366

7,50

0

63

7.8%

Wes

tern

Cap

eE

den

Dis

trict

Mun

icip

ality

Mos

sel B

ay20

,258

4,91

3

24

,690

6,10

3

(1

,190

)

6,54

5

13

3.2%

30,8

50

37,3

95

761.

1%W

este

rn C

ape

Ede

n D

istri

ct M

unic

ipal

ityO

udts

hoor

n18

,413

5,03

9

21

,817

3,61

1

1,

428

3,61

1

71

.7%

9,59

5

13

,206

26

2.1%

Wes

tern

Cap

eO

verb

erg

Dis

trict

Mun

icip

ality

Ove

rstra

nd19

,020

4,81

4

24

,083

2,46

8

2,

346

2,56

0

53

.2%

22,5

95

25,1

55

522.

5%W

este

rn C

ape

Cen

tral K

aroo

Dis

trict

Mun

icip

ality

Prin

ce A

lber

t2,

614

2,

978

3,05

6

928

2,

050

928

31

.2%

-

928

31

.2%

Wes

tern

Cap

eW

est C

oast

Dis

trict

Mun

icip

ality

Sal

danh

a B

ay18

,923

4,12

0

23

,081

4,60

4

(4

84)

4,90

0

11

8.9%

-

4,90

0

11

8.9%

Wes

tern

Cap

eC

ape

Win

elan

ds D

istri

ct M

unic

ipal

ityS

telle

nbos

ch35

,124

5,90

9

34

,954

8,94

8

(3

,039

)

8,94

8

15

1.4%

-

8,94

8

15

1.4%

Wes

tern

Cap

eW

est C

oast

Dis

trict

Mun

icip

ality

Sw

artla

nd18

,758

3,17

1

21

,153

3,55

9

(3

88)

3,83

5

12

0.9%

-

3,83

5

12

0.9%

Wes

tern

Cap

eO

verb

erg

Dis

trict

Mun

icip

ality

Sw

elle

ndam

7,61

9

2,08

8

9,

274

1,

758

330

1,

758

84.2

%4,

200

5,95

8

28

5.3%

Wes

tern

Cap

eO

verb

erg

Dis

trict

Mun

icip

ality

Thee

wat

ersk

loof

24,3

63

6,

978

28,8

01

6,

029

949

5,

872

84.2

%-

5,

872

84.2

%W

este

rn C

ape

Cap

e W

inel

ands

Dis

trict

Mun

icip

ality

Witz

enbe

rg20

,459

5,47

5

23

,720

3,18

9

2,

286

3,17

2

57

.9%

5,75

1

8,

923

163.

0%TO

TAL

11,8

03,3

545,

532,

782

12,9

96,3

002,

512,

799

2,69

0,25

32,

837,

906

51.3

%2,

561,

749

5,39

9,65

597

.6%

Not

e: In

dige

nt h

ouse

hold

is a

hou

seho

ld th

at q

ualif

ies

to re

ceiv

e so

me

or a

ll ba

sic

serv

ices

for f

ree

beca

use

they

hav

e no

inco

me

or a

low

inco

me.

Thes

e ho

useh

olds

mus

t hav

e be

en id

entif

ied

by th

e m

unic

ipal

ity a

nd a

ppea

r on

the

indi

gent

regi

ster

, in

line

with

the

mun

icip

al in

dige

nt p

olic

y.

53

54

ANNEXURE F: ACCESS TO SANITATION

PRO

VIN

CE

MU

NIC

IPA

LITY

Tot

al H

ouse

hold

s H

ouse

hold

acc

ess

to s

anita

tion

Hou

seho

ld a

cces

s to

sa

nita

tion

as a

pe

rcen

tage

Hou

seho

lds

belo

w

basi

c le

vel o

f se

rvic

e/ b

ackl

ogs

Hou

seho

lds

belo

w

basi

c le

vel o

f se

rvic

e/ b

ackl

ogs

as a

per

cent

age

Tot

al H

ouse

hold

sH

ouse

hold

acc

ess

to s

anita

tion

Hou

seho

ldac

cess

to

sani

tatio

n as

a

perc

enta

ge

Hou

seho

lds

belo

w

basi

c le

vel o

f se

rvic

e/ b

ackl

ogs

Hou

seho

lds

belo

w b

asic

leve

l of

ser

vice

/ ba

cklo

gs a

s a

perc

enta

ge

Tot

al H

ouse

hold

s H

ouse

hold

acc

ess

to s

anita

tion

Hou

seho

ld a

cces

s to

sa

nita

tion

as a

pe

rcen

tage

Hou

seho

lds

belo

w b

asic

leve

l of

ser

vice

/ ba

cklo

gs

Hou

seho

lds

belo

w b

asic

leve

l of

ser

vice

/ ba

cklo

gs a

s a

perc

enta

ge

Eas

tern

Cap

eA

mah

lath

i Loc

al M

unic

ipal

ity36

,388

16,3

46

44

.9%

20,0

42

55

.1%

36,9

20

17,0

65

46

.2%

19,8

55

53

.8%

36,3

87

16,7

15

45

.9%

19,6

72

54

.1%

Eas

tern

Cap

eB

avia

ans

Loca

l Mun

icip

ality

3,73

9

2,93

4

78.5

%80

5

21

.5%

4,21

9

2,

521

59.8

%1,

698

40

.2%

3,97

1

3,

677

92

.6%

294

7.

4%E

aste

rn C

ape

Blu

e C

rane

Rou

te L

ocal

Mun

icip

ality

9,65

6

6,80

6

70.5

%2,

850

29

.5%

10,2

94

5,77

8

56

.1%

4,51

6

43.9

%9,

655

6,93

1

71.8

%2,

724

28.2

%E

aste

rn C

ape

Buf

falo

City

Loc

al M

unic

ipal

ity20

8,38

7

14

4,33

9

69.3

%64

,048

30.7

%20

6,45

4

18

0,14

8

87.3

%26

,306

12.7

%20

8,38

9

15

1,91

1

72.9

%56

,478

27.1

%E

aste

rn C

ape

Cam

debo

o Lo

cal M

unic

ipal

ity8,

994

8,

624

95

.9%

370

4.1%

11,1

32

9,06

0

81

.4%

2,07

2

18.6

%8,

994

8,65

6

96.2

%33

8

3.8%

Eas

tern

Cap

eU

mzi

mvu

bu L

ocal

Mun

icip

ality

47,8

02

11

,577

24.2

%36

,225

75.8

%46

,259

31

,931

69.0

%14

,328

31.0

%47

,800

16

,187

33.9

%31

,613

66.1

%E

aste

rn C

ape

Elu

ndin

i Loc

al M

unic

ipal

ity35

,552

11,0

51

31

.1%

24,5

01

68

.9%

35,8

08

15,1

90

42

.4%

20,6

18

57

.6%

35,5

54

13,8

51

39

.0%

21,7

03

61

.0%

Eas

tern

Cap

eE

mal

ahle

ni L

ocal

Mun

icip

ality

31,1

95

7,

320

23

.5%

23,8

75

76

.5%

30,8

58

20,7

31

67

.2%

10,1

27

32

.8%

31,1

97

9,96

2

31.9

%21

,235

68.1

%E

aste

rn C

ape

Eng

cobo

Loc

al M

unic

ipal

ity35

,187

4,93

9

14.0

%30

,248

86.0

%32

,821

13

,087

39.9

%19

,734

60.1

%35

,186

6,

858

19

.5%

28,3

28

80

.5%

Eas

tern

Cap

eG

arie

p Lo

cal M

unic

ipal

ity8,

211

6,

377

77

.7%

1,83

4

22.3

%8,

899

5,38

1

60

.5%

3,51

8

39.5

%8,

772

7,41

9

84.6

%1,

353

15.4

%E

aste

rn C

ape

Gre

at K

ei L

ocal

Mun

icip

ality

11,9

58

4,

933

41.3

%7,

025

58.7

%12

,152

7,

059

58.1

%5,

093

41

.9%

11,9

57

5,30

2

44.3

%6,

655

55.7

%E

aste

rn C

ape

Ikw

ezi L

ocal

Mun

icip

ality

2,56

7

1,37

3

53.5

%1,

194

46

.5%

2,95

7

1,

062

35.9

%1,

895

64

.1%

2,56

7

31

6

12

.3%

2,25

1

87

.7%

Eas

tern

Cap

eIn

kwan

ca L

ocal

Mun

icip

ality

5,30

1

4,83

4

91.2

%46

7

8.

8%5,

744

5,12

6

89

.2%

618

10.8

%5,

303

4,11

9

77.7

%1,

184

22.3

%E

aste

rn C

ape

Ints

ika

Yet

hu L

ocal

Mun

icip

ality

43,5

01

4,

132

9.

5%39

,369

90.5

%41

,656

20

,275

48.7

%21

,381

51.3

%43

,504

9,

011

20

.7%

34,4

93

79

.3%

Eas

tern

Cap

eIn

xuba

Yet

hem

ba L

ocal

Mun

icip

ality

14,4

91

13

,437

92.7

%1,

054

7.

3%17

,054

13

,684

80.2

%3,

370

19

.8%

14,4

91

14,0

15

96

.7%

476

3.

3%E

aste

rn C

ape

Kin

g S

abat

a D

alin

dyeb

o Lo

cal M

unic

ipal

ity93

,384

31,4

81

33

.7%

61,9

03

66

.3%

97,3

65

66,3

11

68

.1%

31,0

54

31

.9%

93,3

84

41,0

16

43

.9%

52,3

68

56

.1%

Eas

tern

Cap

eK

ouga

Loc

al M

unic

ipal

ity19

,084

16,0

84

84

.3%

3,00

0

15.7

%21

,380

16

,693

78.1

%4,

687

21

.9%

19,0

84

16,1

24

84

.5%

2,96

0

15

.5%

Eas

tern

Cap

eK

ou-K

amm

a Lo

cal M

unic

ipal

ity10

,373

8,47

4

81.7

%1,

899

18

.3%

10,4

47

9,62

0

92

.1%

827

7.9%

10,3

71

8,86

5

85.5

%1,

506

14.5

%E

aste

rn C

ape

Luka

nji L

ocal

Mun

icip

ality

49,6

74

34

,435

69.3

%15

,239

30.7

%47

,185

33

,963

72.0

%13

,222

28.0

%49

,673

36

,455

73.4

%13

,218

26.6

%E

aste

rn C

ape

Mak

ana

Loca

l Mun

icip

ality

18,8

65

14

,922

79.1

%3,

943

20

.9%

19,1

64

11,9

64

62

.4%

7,20

0

37.6

%18

,866

15

,130

80.2

%3,

736

19.8

%E

aste

rn C

ape

Mal

etsw

ai L

ocal

Mun

icip

ality

11,4

44

8,

326

72

.8%

3,11

827

.2%

10,2

579,

988

97.4

%26

9

2.

6%11

,444

8,

858

77

.4%

2,58

6

22

.6%

Eas

tern

Cap

eM

atat

iele

Loc

al M

unic

ipal

ity54

,210

12,4

55

23

.0%

41,7

55

77

.0%

53,8

80

33,5

19

62

.2%

20,3

61

37

.8%

54,2

09

13,4

85

24

.9%

40,7

24

75

.1%

Eas

tern

Cap

eM

bhas

he L

ocal

Mun

icip

ality

59,7

05

4,

223

7.

1%55

,482

92.9

%56

,161

23

,699

42.2

%32

,462

57.8

%59

,703

6,

721

11

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3.

2%2,

748

2,08

8

76.0

%66

0

24.0

%W

este

rn C

ape

Sal

danh

a B

ay L

ocal

Mun

icip

ality

20,7

85

20

,065

96.5

%72

0

3.

5%23

,081

23

,081

100.

0%0

0.0%

20,7

85

14,7

44

70

.9%

6,04

1

29

.1%

Wes

tern

Cap

eS

telle

nbos

ch L

ocal

Mun

icip

ality

36,4

11

34

,924

95.9

%1,

487

4.

1%34

,954

33

,323

95.3

%1,

631

4.

7%36

,413

29

,142

80.0

%7,

271

20.0

%W

este

rn C

ape

Sw

artla

nd L

ocal

Mun

icip

ality

19,9

38

18

,817

94.4

%1,

121

5.

6%21

,153

19

,817

93.7

%1,

336

6.

3%19

,938

15

,721

78.8

%4,

217

21.2

%W

este

rn C

ape

Sw

elle

ndam

Loc

al M

unic

ipal

ity6,

959

6,

592

94

.7%

367

5.3%

9,27

4

8,

778

94.7

%49

6

5.

3%6,

957

5,71

5

82.1

%1,

242

17.9

%W

este

rn C

ape

Thee

wat

ersk

loof

Loc

al M

unic

ipal

ity23

,464

20,9

73

89

.4%

2,49

1

10.6

%28

,801

25

,784

89.5

%3,

017

10

.5%

23,4

64

18,5

64

79

.1%

4,90

0

20

.9%

Wes

tern

Cap

eW

itzen

berg

Loc

al M

unic

ipal

ity24

,411

22,3

02

91

.4%

2,10

9

8.6%

23,7

20

22,2

49

93

.8%

1,47

1

6.2%

24,4

10

20,5

53

84

.2%

3,85

7

15

.8%

Tota

l12

,478

,128

8,02

9,84

0

13

6.2%

4,44

8,28

8

10

0.8%

12,9

96,3

00

9,68

7,61

3

16

7.8%

3,30

8,68

7

69

.2%

12,8

09,8

45

8,

639,

462

144.

1%4,

170,

383

92.9

%

58

59

ANNEXURE G: ACCESS TO ELECTRICITY

Prov

ince

Mun

icip

ality

DM

E, 2

008

Tota

lH

ouse

hold

s

DM

E, 2

008

Hou

seho

ldA

cces

s to

G

rid

DM

E, 2

008

Hou

seho

ldA

cces

s to

Grid

as

a

perc

enta

ge

DM

E, 2

008

Hou

seho

lds

belo

w b

asic

le

vel o

f ser

vice

/b

ackl

ogs

DM

E, 2

008

Hou

seho

lds

belo

w b

asic

le

vel o

f ser

vice

/b

ackl

ogs

as a

pe

rcen

tage

Eas

tern

Cap

eA

mah

lath

i Loc

al M

unic

ipal

ity38

,082

23,8

81

62.7

%14

,201

37.3

%E

aste

rn C

ape

Bav

iaan

s Lo

cal M

unic

ipal

ity4,

285

3,

557

83.0

%72

8

17

.0%

Eas

tern

Cap

eB

lue

Cra

ne R

oute

Loc

al M

unic

ipal

ity10

,457

7,58

9

72

.6%

2,86

8

27.4

%E

aste

rn C

ape

Buf

falo

City

Loc

al M

unic

ipal

ity21

5,15

1

13

3,33

8

62.0

%81

,813

38.0

%E

aste

rn C

ape

Cam

debo

o Lo

cal M

unic

ipal

ity11

,402

10,2

69

90.1

%1,

133

9.

9%E

aste

rn C

ape

Um

zim

vubu

Loc

al M

unic

ipal

ity95

,910

23,3

42

24.3

%72

,568

75.7

%E

aste

rn C

ape

Elu

ndin

i Loc

al M

unic

ipal

ity36

,704

11,4

28

31.1

%25

,276

68.9

%E

aste

rn C

ape

Em

alah

leni

Loc

al M

unic

ipal

ity28

,513

23,2

02

81.4

%5,

312

18

.6%

Eas

tern

Cap

eE

ngco

bo L

ocal

Mun

icip

ality

34,1

06

14

,909

43

.7%

19,1

97

56

.3%

Eas

tern

Cap

eG

arie

p Lo

cal M

unic

ipal

ity9,

089

9,

451

104.

0%-3

63

-4

.0%

Eas

tern

Cap

eG

reat

Kei

Loc

al M

unic

ipal

ity12

,550

9,03

1

72

.0%

3,51

9

28.0

%E

aste

rn C

ape

Ikw

ezi L

ocal

Mun

icip

ality

3,02

5

2,20

1

72

.7%

825

27.3

%E

aste

rn C

ape

Inkw

anca

Loc

al M

unic

ipal

ity5,

948

5,

598

94.1

%35

0

5.

9%E

aste

rn C

ape

Ints

ika

Yet

hu L

ocal

Mun

icip

ality

49,4

32

14

,304

28

.9%

35,1

28

71

.1%

Eas

tern

Cap

eIn

xuba

Yet

hem

ba L

ocal

Mun

icip

ality

17,6

49

15

,227

86

.3%

2,42

3

13.7

%E

aste

rn C

ape

Kin

g S

abat

a D

alin

dyeb

o Lo

cal M

unic

ipal

ity98

,786

57,3

45

58.0

%41

,441

42.0

%E

aste

rn C

ape

Kou

ga L

ocal

Mun

icip

ality

21,2

57

17

,681

83

.2%

3,57

6

16.8

%E

aste

rn C

ape

Kou

-Kam

ma

Loca

l Mun

icip

ality

10,2

21

8,

257

80.8

%1,

964

19

.2%

Eas

tern

Cap

eLu

kanj

i Loc

al M

unic

ipal

ity48

,878

41,6

13

85.1

%7,

265

14

.9%

Eas

tern

Cap

eM

akan

a Lo

cal M

unic

ipal

ity19

,668

14,4

34

73.4

%5,

234

26

.6%

Eas

tern

Cap

eM

alet

swai

Loc

al M

unic

ipal

ity10

,471

6,29

4

60

.1%

4,17

7

39.9

%E

aste

rn C

ape

Mat

atie

le L

ocal

Mun

icip

ality

5,76

4

5,89

8

10

2.3%

-134

-2.3

%E

aste

rn C

ape

Mbh

ashe

Loc

al M

unic

ipal

ity58

,003

14,5

62

25.1

%43

,441

74.9

%E

aste

rn C

ape

Mbi

zana

Loc

al M

unic

ipal

ity50

,482

16,6

66

33.0

%33

,817

67.0

%E

aste

rn C

ape

Mhl

ontlo

Loc

al M

unic

ipal

ity46

,688

25,5

24

54.7

%21

,164

45.3

%E

aste

rn C

ape

Mnq

uma

Loca

l Mun

icip

ality

74,1

61

30

,238

40.8

%43

,922

59.2

%E

aste

rn C

ape

Ndl

ambe

Loc

al M

unic

ipal

ity17

,182

11,6

57

67.8

%5,

526

32

.2%

Eas

tern

Cap

eN

gqus

hwa

Loca

l Mun

icip

ality

23,8

91

16

,074

67

.3%

7,81

8

32.7

%E

aste

rn C

ape

Nko

nkob

e Lo

cal M

unic

ipal

ity35

,531

27,8

75

78.5

%7,

656

21

.5%

Eas

tern

Cap

eN

elso

n M

ande

la B

ay M

etro

polit

an M

unic

ipal

i t29

3,70

1

23

3,63

2

79.5

%60

,069

20.5

%E

aste

rn C

ape

Nta

bank

ulu

Loca

l Mun

icip

ality

29,7

35

6,

337

21.3

%23

,398

78.7

%E

aste

rn C

ape

Nxu

ba L

ocal

Mun

icip

ality

7,22

6

8,83

3

12

2.2%

-1,6

08

-2

2.2%

Eas

tern

Cap

eN

yand

eni L

ocal

Mun

icip

ality

61,5

64

27

,306

44

.4%

34,2

58

55

.6%

Eas

tern

Cap

eP

ort S

t Joh

ns L

ocal

Mun

icip

ality

31,7

16

16

,831

53

.1%

14,8

85

46

.9%

Eas

tern

Cap

eQ

auke

ni L

ocal

Mun

icip

ality

55,6

24

24

,753

44

.5%

30,8

71

55

.5%

Elec

tric

ity D

eliv

ery

Stat

us, 2

008

AN

NEX

UR

E G

- H

OU

SEH

OLD

AC

CES

S TO

ELE

CTR

ICIT

Y

60

Prov

ince

Mun

icip

ality

DM

E, 2

008

Tota

lH

ouse

hold

s

DM

E, 2

008

Hou

seho

ldA

cces

s to

G

rid

DM

E, 2

008

Hou

seho

ldA

cces

s to

Grid

as

a

perc

enta

ge

DM

E, 2

008

Hou

seho

lds

belo

w b

asic

le

vel o

f ser

vice

/b

ackl

ogs

DM

E, 2

008

Hou

seho

lds

belo

w b

asic

le

vel o

f ser

vice

/b

ackl

ogs

as a

pe

rcen

tage

Elec

tric

ity D

eliv

ery

Stat

us, 2

008

AN

NEX

UR

E G

- H

OU

SEH

OLD

AC

CES

S TO

ELE

CTR

ICIT

Y

Eas

tern

Cap

eS

akhi

sizw

e Lo

cal M

unic

ipal

ity13

,874

11,6

10

83.7

%2,

264

16

.3%

Eas

tern

Cap

eS

enqu

Loc

al M

unic

ipal

ity37

,245

22,2

64

59.8

%14

,982

40.2

%E

aste

rn C

ape

Sun

day'

s R

iver

Val

ley

Loca

l Mun

icip

ality

11,0

67

7,

415

67.0

%3,

652

33

.0%

Eas

tern

Cap

eTs

olw

ana

Loca

l Mun

icip

ality

8,64

8

7,49

2

86

.6%

1,15

6

13.4

%Fr

ee S

tate

D

ihla

beng

Loc

al M

unic

ipal

ity36

,468

25,7

65

70.7

%10

,703

29.3

%Fr

ee S

tate

K

opan

ong

Loca

l Mun

icip

ality

19,3

05

14

,332

74

.2%

4,97

2

25.8

%Fr

ee S

tate

Le

tsem

eng

Loca

l Mun

icip

ality

13,2

49

11

,478

86

.6%

1,77

1

13.4

%Fr

ee S

tate

M

afub

e Lo

cal M

unic

ipal

ity16

,183

12,0

43

74.4

%4,

140

25

.6%

Free

Sta

te

Mal

uti a

Pho

fung

Loc

al M

unic

ipal

ity99

,804

66,0

87

66.2

%33

,718

33.8

%Fr

ee S

tate

M

anga

ung

Loca

l Mun

icip

ality

208,

354

170,

130

81

.7%

38,2

24

18

.3%

Free

Sta

te

Man

tsop

a Lo

cal M

unic

ipal

ity15

,208

12,4

88

82.1

%2,

720

17

.9%

Free

Sta

te

Mas

ilony

ana

Loca

l Mun

icip

ality

18,8

42

13

,269

70

.4%

5,57

3

29.6

%Fr

ee S

tate

M

atjh

aben

g Lo

cal M

unic

ipal

ity13

2,81

8

87

,734

66

.1%

45,0

84

33

.9%

Free

Sta

te

Met

sim

ahol

o Lo

cal M

unic

ipal

ity35

,628

29,5

82

83.0

%6,

046

17

.0%

Free

Sta

te

Moh

okar

e Lo

cal M

unic

ipal

ity10

,386

6,90

6

66

.5%

3,48

0

33.5

%Fr

ee S

tate

M

oqha

ka L

ocal

Mun

icip

ality

45,8

35

36

,853

80

.4%

8,98

2

19.6

%Fr

ee S

tate

N

ala

Loca

l Mun

icip

ality

28,5

25

21

,680

76

.0%

6,84

4

24.0

%Fr

ee S

tate

N

aled

i Loc

al M

unic

ipal

ity8,

363

6,

099

72.9

%2,

264

27

.1%

Free

Sta

te

Ngw

athe

Loc

al M

unic

ipal

ity35

,449

29,5

84

83.5

%5,

864

16

.5%

Free

Sta

te

Nke

toan

a Lo

cal M

unic

ipal

ity16

,457

12,0

44

73.2

%4,

413

26

.8%

Free

Sta

te

Phu

mel

ela

Loca

l Mun

icip

ality

13,1

67

8,

691

66.0

%4,

476

34

.0%

Free

Sta

te

Set

soto

Loc

al M

unic

ipal

ity36

,161

30,1

14

83.3

%6,

048

16

.7%

Free

Sta

te

Toko

logo

Loc

al M

unic

ipal

ity9,

769

7,

795

79.8

%1,

973

20

.2%

Free

Sta

te

Tsw

elop

ele

Loca

l Mun

icip

ality

13,7

23

9,

148

66.7

%4,

574

33

.3%

Gau

teng

City

of J

ohan

nesb

urg

Met

ropo

litan

Mun

icip

al1,

133,

970

91

2,84

9

80.5

%22

1,12

1

19.5

%G

aute

ngC

ity o

f Tsh

wan

e M

etro

polit

an M

unic

ipal

ity63

3,64

3

48

7,97

677

.0%

145,

667

23

.0%

Gau

teng

Eku

rhul

eni M

etro

polit

an M

unic

ipal

ity33

,105

14,7

04

44.4

%18

,400

55.6

%G

aute

ngE

mfu

leni

Loc

al M

unic

ipal

ity83

8,92

0

59

9,93

2

71.5

%23

8,98

8

28.5

%G

aute

ngK

ungw

ini L

ocal

Mun

icip

ality

21,7

05

15

,978

73

.6%

5,72

7

26.4

%G

aute

ngLe

sedi

Loc

al M

unic

ipal

ity33

,302

22,7

70

68.4

%10

,532

31.6

%G

aute

ngM

idva

al L

ocal

Mun

icip

ality

15,7

15

10

,477

66

.7%

5,23

8

33.3

%G

aute

ngM

ogal

e C

ity L

ocal

Mun

icip

ality

20,3

24

18

,984

93

.4%

1,33

9

6.6%

Gau

teng

Nok

eng

tsa

Taem

ane

Loca

l Mun

icip

ality

206,

528

169,

927

82

.3%

36,6

00

17

.7%

Gau

teng

Ran

dfon

tein

Loc

al M

unic

ipal

ity92

,232

70,9

24

76.9

%21

,307

23.1

%G

aute

ngW

esto

naria

Loc

al M

unic

ipal

ity39

,930

30,3

43

76.0

%9,

587

24

.0%

Kw

aZul

u-N

atal

Aba

qulu

si L

ocal

Mun

icip

ality

40,0

51

21

,164

52

.8%

18,8

87

47

.2%

61

Prov

ince

Mun

icip

ality

DM

E, 2

008

Tota

lH

ouse

hold

s

DM

E, 2

008

Hou

seho

ldA

cces

s to

G

rid

DM

E, 2

008

Hou

seho

ldA

cces

s to

Grid

as

a

perc

enta

ge

DM

E, 2

008

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seho

lds

belo

w b

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le

vel o

f ser

vice

/b

ackl

ogs

DM

E, 2

008

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seho

lds

belo

w b

asic

le

vel o

f ser

vice

/b

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ogs

as a

pe

rcen

tage

Elec

tric

ity D

eliv

ery

Stat

us, 2

008

AN

NEX

UR

E G

- H

OU

SEH

OLD

AC

CES

S TO

ELE

CTR

ICIT

Y

Kw

aZul

u-N

atal

Dan

nhau

ser

Loca

l Mun

icip

ality

21,5

44

13

,159

61

.1%

8,38

6

38.9

%K

waZ

ulu-

Nat

aleD

umbe

Loc

al M

unic

ipal

ity16

,843

6,58

2

39

.1%

10,2

61

60

.9%

Kw

aZul

u-N

atal

Em

adla

ngen

i Loc

al M

unic

ipal

ity6,

906

2,

520

36.5

%4,

386

63

.5%

Kw

aZul

u-N

atal

Em

nam

bith

i-Lad

ysm

ith L

ocal

Mun

icip

ality

56,3

46

37

,977

67

.4%

18,3

69

32

.6%

Kw

aZul

u-N

atal

End

umen

i Loc

al M

unic

ipal

ity13

,694

9,39

7

68

.6%

4,29

6

31.4

%K

waZ

ulu-

Nat

aleT

hekw

ini M

etro

polit

an M

unic

ipal

ity88

6,00

3

71

8,50

5

81.1

%16

7,49

8

18.9

%K

waZ

ulu-

Nat

alE

zing

olen

i Loc

al M

unic

ipal

ity11

,912

7,68

4

64

.5%

4,22

8

35.5

%K

waZ

ulu-

Nat

alG

reat

er K

okst

ad L

ocal

Mun

icip

ality

21,8

93

13

,636

62

.3%

8,25

7

37.7

%K

waZ

ulu-

Nat

alH

ibis

cus

Coa

st L

ocal

Mun

icip

ality

57,3

91

44

,410

77

.4%

12,9

80

22

.6%

Kw

aZul

u-N

atal

Hla

bisa

Loc

al M

unic

ipal

ity29

,971

11,2

20

37.4

%18

,752

62.6

%K

waZ

ulu-

Nat

alIm

baba

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Mag

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Mie

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Nor

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20,0

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Cap

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Nor

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Pho

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Nor

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Ren

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Ric

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Nor

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Siy

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Cap

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56,5

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Nor

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Them

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84.2

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Nor

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Ubu

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Loca

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Mun

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Bea

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t Loc

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Ber

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Mun

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12,9

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Bito

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Prov

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DM

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Mat

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67

ANNEXURE H: FREE BASIC ENERGY

Tota

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Mhl

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Am

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Mun

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Ndl

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Nel

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Man

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Nel

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Man

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Met

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Mun

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Ngq

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Am

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-

51

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tern

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icip

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Sun

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Dis

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Lets

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Sta

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Sta

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00

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12

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Sta

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Sta

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cipa

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852

15

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-

2,

249

2,

925

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Sta

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Dis

trict

Mun

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Mas

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20,5

15

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TRIC

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Mun

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128,

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Sta

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10

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26,0

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Sta

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13

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Dis

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Set

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33,6

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Sta

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Dis

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Mun

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Toko

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8,97

6

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4

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134

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City

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Met

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Mun

icip

ality

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mun

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93

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Dis

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mun

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Mid

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51,5

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37,0

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11,6

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51,9

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55

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4,66

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45,9

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i15

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Moo

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10,5

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Msi

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Mth

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12,6

57

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24,3

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Wes

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Cap

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Not

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the

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line

with

the

mun

icip

al in

dige

nt p

olic

y. 73

74

ANNEXURE I: ACCESS TO REFUSE REMOVAL

Tot

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Kw

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Loc

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Kw

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Hla

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Loc

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Loc

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Kw

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764

19

.7%

Nor

ther

n C

ape

Ga-

Seg

onya

na L

ocal

Mun

icip

ality

15,6

56

14

,489

92.5

%1,

167

7.5%

Nor

ther

n C

ape

Han

tam

Loc

al M

unic

ipal

ity4,

276

3,

302

77.2

%97

4

22.8

%N

orth

ern

Cap

eK

ai !G

arib

Loc

al M

unic

ipal

ity7,

094

5,

507

77.6

%1,

587

22.4

%N

orth

ern

Cap

eK

amie

sber

g Lo

cal M

unic

ipal

ity3,

786

3,

092

81.7

%69

4

18.3

%N

orth

ern

Cap

eK

aree

berg

Loc

al M

unic

ipal

ity5,

069

4,

165

82.2

%90

4

17.8

%N

orth

ern

Cap

eK

aroo

Hoo

glan

d Lo

cal M

unic

ipal

ity5,

643

4,

610

81.7

%1,

033

18.3

%N

orth

ern

Cap

eK

gate

lope

le L

ocal

Mun

icip

ality

5,66

8

4,06

9

71

.8%

1,59

9

28

.2%

Nor

ther

n C

ape

Kha

i-Ma

Loca

l Mun

icip

ality

9,48

9

7,54

0

79

.5%

1,94

9

20

.5%

Nor

ther

n C

ape

Mag

aren

g Lo

cal M

unic

ipal

ity17

,105

4,25

4

24

.9%

12,8

51

75.1

%

79

Tot

al

Hou

seho

lds

Hou

seho

ld a

cces

s to

refu

se re

mov

al

serv

ice

Hou

seho

ldac

cess

to

refu

se re

mov

al

serv

ice

as a

pe

rcen

tage

Hou

seho

lds

belo

w

basi

c le

vel o

f ser

vice

/ ba

cklo

gs

Hou

seho

lds

belo

w

basi

c le

vel o

f se

rvic

e/ b

ackl

ogs

as a

per

cent

age

CO

MM

UN

ITY

SUR

VEY

2007

REF

USE

REM

OVA

L D

ELIV

ERY

STA

TUS,

200

7A

NN

EXU

RE

I - H

OU

SEH

OLD

AC

CES

S TO

REF

USE

REM

OVA

L

PRO

VIN

CE

MU

NIC

IPA

LITY

Nor

ther

n C

ape

Mie

r Loc

al M

unic

ipal

ity4,

487

2,

871

64.0

%1,

616

36.0

%N

orth

ern

Cap

eM

osha

wen

g Lo

cal M

unic

ipal

ity3,

953

3,

257

82.4

%69

6

17.6

%N

orth

ern

Cap

eN

ama

Kho

i Loc

al M

unic

ipal

ity2,

983

2,

074

69.5

%90

9

30.5

%N

orth

ern

Cap

eP

hokw

ane

Loca

l Mun

icip

ality

7,63

9

7,24

8

94

.9%

391

5.

1%N

orth

ern

Cap

eR

enos

terb

erg

Loca

l Mun

icip

ality

8,85

2

7,14

8

80

.8%

1,70

4

19

.2%

Nor

ther

n C

ape

Ric

hter

svel

d Lo

cal M

unic

ipal

ity5,

821

5,

106

87.7

%71

5

12.3

%N

orth

ern

Cap

eS

iyan

cum

a Lo

cal M

unic

ipal

ity20

,939

19,1

54

91

.5%

1,78

5

8.

5%N

orth

ern

Cap

eS

iyat

hem

ba L

ocal

Mun

icip

ality

17,3

89

7,

773

44.7

%9,

616

55.3

%N

orth

ern

Cap

eS

ol P

laat

jie L

ocal

Mun

icip

ality

13,7

69

8,

093

58.8

%5,

676

41.2

%N

orth

ern

Cap

eTh

embe

lihle

Loc

al M

unic

ipal

ity1,

706

98

6

57

.8%

720

42

.2%

Nor

ther

n C

ape

Tsan

tsab

ane

Loca

l Mun

icip

ality

10,0

12

6,

042

60.3

%3,

970

39.7

%N

orth

ern

Cap

eU

bunt

u Lo

cal M

unic

ipal

ity2,

728

2,

196

80.5

%53

2

19.5

%N

orth

ern

Cap

eU

mso

bom

vu L

ocal

Mun

icip

ality

2,71

9

2,28

2

83

.9%

437

16

.1%

Wes

tern

Cap

eB

eauf

ort W

est L

ocal

Mun

icip

ality

9,14

9

8,47

6

92

.6%

673

7.

4%W

este

rn C

ape

Ber

griv

ier L

ocal

Mun

icip

ality

12,1

96

10

,574

86.7

%1,

622

13.3

%W

este

rn C

ape

Bito

u Lo

cal M

unic

ipal

ity12

,645

11,9

84

94

.8%

661

5.

2%W

este

rn C

ape

Bre

ede

Riv

er/W

inel

ands

Loc

al M

unic

ipal

ity21

,856

14,7

03

67

.3%

7,15

3

32

.7%

Wes

tern

Cap

eB

reed

e V

alle

y Lo

cal M

unic

ipal

ity36

,496

27,7

06

75

.9%

8,79

0

24

.1%

Wes

tern

Cap

eC

ape

Agu

lhas

Loc

al M

unic

ipal

ity7,

616

6,

776

89.0

%84

0

11.0

%W

este

rn C

ape

Ced

erbe

rg L

ocal

Mun

icip

ality

9,21

2

5,67

5

61

.6%

3,53

7

38

.4%

Wes

tern

Cap

eC

ity o

f Cap

e To

wn

Met

ropo

litan

Mun

icip

ality

902,

277

84

9,94

3

94.2

%52

,334

5.

8%W

este

rn C

ape

Dra

kens

tein

Loc

al M

unic

ipal

ity51

,615

36,8

91

71

.5%

14,7

24

28.5

%W

este

rn C

ape

Geo

rge

Loca

l Mun

icip

ality

42,7

92

39

,931

93.3

%2,

861

6.7%

Wes

tern

Cap

eH

esse

qua

Loca

l Mun

icip

ality

12,4

81

10

,180

81.6

%2,

301

18.4

%W

este

rn C

ape

Kan

nala

nd L

ocal

Mun

icip

ality

6,34

4

4,56

9

72

.0%

1,77

5

28

.0%

Wes

tern

Cap

eK

nysn

a Lo

cal M

unic

ipal

ity17

,416

16,3

46

93

.9%

1,07

0

6.

1%W

este

rn C

ape

Lain

gsbu

rg L

ocal

Mun

icip

ality

1,96

5

1,50

2

76

.4%

463

23

.6%

Wes

tern

Cap

eM

atzi

kam

a Lo

cal M

unic

ipal

ity12

,879

9,48

4

73

.6%

3,39

5

26

.4%

Wes

tern

Cap

eM

osse

l Bay

Loc

al M

unic

ipal

ity28

,347

26,7

65

94

.4%

1,58

2

5.

6%W

este

rn C

ape

Oud

tsho

orn

Loca

l Mun

icip

ality

17,9

13

15

,670

87.5

%2,

243

12.5

%W

este

rn C

ape

Ove

rstra

nd L

ocal

Mun

icip

ality

21,9

52

21

,496

97.9

%45

6

2.1%

Wes

tern

Cap

eP

rince

Alb

ert L

ocal

Mun

icip

ality

2,74

8

2,21

7

80

.7%

531

19

.3%

Wes

tern

Cap

eS

alda

nha

Bay

Loc

al M

unic

ipal

ity20

,785

19,9

37

95

.9%

848

4.

1%W

este

rn C

ape

Ste

llenb

osch

Loc

al M

unic

ipal

ity36

,411

31,9

17

87

.7%

4,49

4

12

.3%

Wes

tern

Cap

eS

war

tland

Loc

al M

unic

ipal

ity19

,939

17,3

22

86

.9%

2,61

7

13

.1%

Wes

tern

Cap

eS

wel

lend

am L

ocal

Mun

icip

ality

6,95

6

5,79

3

83

.3%

1,16

3

16

.7%

Wes

tern

Cap

eTh

eew

ater

sklo

of L

ocal

Mun

icip

ality

23,4

64

20

,475

87.3

%2,

989

12.7

%W

este

rn C

ape

Witz

enbe

rg L

ocal

Mun

icip

ality

24,4

10

12

,244

50.2

%12

,166

49

.8%

Tota

l12

,477

,121

7,47

8,33

4

59

.9%

4,99

8,78

7

40.1

%

80

81

ANNEXURE J: DISTRICT AND MUNICIPALITY NAME REFERENCE

PRO

VIN

CE

NA

ME

OF

MU

NIC

IPA

LITY

NA

ME

OF

DIS

TRIC

TE

aste

rn C

ape

Am

ahla

thi L

ocal

Mun

icip

ality

Am

atol

e D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Bav

iaan

s Lo

cal M

unic

ipal

ityC

acad

u D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Blu

e C

rane

Rou

te L

ocal

Mun

icip

ality

Cac

adu

Dis

trict

mun

icip

ality

Eas

tern

Cap

eB

uffa

lo C

ity L

ocal

Mun

icip

ality

Am

atol

e D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Cam

debo

o Lo

cal M

unic

ipal

ityC

acad

u D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Elu

ndin

i Loc

al M

unic

ipal

ityU

khah

lam

ba D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Em

alah

leni

Loc

al M

unic

ipal

ityC

hris

Han

i Dis

trict

mun

icip

ality

Eas

tern

Cap

eE

ngco

bo L

ocal

Mun

icip

ality

Chr

is H

ani D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Gar

iep

Loca

l Mun

icip

ality

Ukh

ahla

mba

Dis

trict

mun

icip

ality

Eas

tern

Cap

eG

reat

Kei

Loc

al M

unic

ipal

ityA

mat

ole

Dis

trict

mun

icip

ality

Eas

tern

Cap

eIk

wez

i Loc

al M

unic

ipal

ityC

acad

u D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Inkw

anca

Loc

al M

unic

ipal

ityC

hris

Han

i Dis

trict

mun

icip

ality

Eas

tern

Cap

eIn

tsik

a Y

ethu

Loc

al M

unic

ipal

ityC

hris

Han

i Dis

trict

mun

icip

ality

Eas

tern

Cap

eIn

xuba

Yet

hem

ba L

ocal

Mun

icip

ality

Chr

is H

ani D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Kin

g S

abat

a D

alin

dyeb

o Lo

cal M

unic

ipal

ityO

.R.T

ambo

Dis

trict

mun

icip

ality

Eas

tern

Cap

eK

ouga

Loc

al M

unic

ipal

ityC

acad

u D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Kou

-Kam

ma

Loca

l Mun

icip

ality

Cac

adu

Dis

trict

mun

icip

ality

Eas

tern

Cap

eLu

kanj

i Loc

al M

unic

ipal

ityC

hris

Han

i Dis

trict

mun

icip

ality

Eas

tern

Cap

eM

akan

a Lo

cal M

unic

ipal

ityC

acad

u D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Mal

etsw

ai L

ocal

Mun

icip

ality

Ukh

ahla

mba

Dis

trict

mun

icip

ality

Eas

tern

Cap

eM

atat

iele

Loc

al M

unic

ipal

ityA

lfred

Nzo

Dis

trict

mun

icip

ality

Eas

tern

Cap

eM

bhas

he L

ocal

Mun

icip

ality

Am

atol

e D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Mbi

zana

Loc

al M

unic

ipal

ityO

.R.T

ambo

Dis

trict

mun

icip

ality

Eas

tern

Cap

eM

hlon

tlo L

ocal

Mun

icip

ality

O.R

.Tam

bo D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Mnq

uma

Loca

l Mun

icip

ality

Am

atol

e D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Ndl

ambe

Loc

al M

unic

ipal

ityC

acad

u D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Nel

son

Man

dela

Bay

Met

ropo

litan

Mun

icip

Nel

son

Man

dela

Met

ropo

litan

Mun

icip

ality

Eas

tern

Cap

eN

gqus

hwa

Loca

l Mun

icip

ality

Am

atol

e D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Nko

nkob

e Lo

cal M

unic

ipal

ityA

mat

ole

Dis

trict

mun

icip

ality

Eas

tern

Cap

eN

taba

nkul

u Lo

cal M

unic

ipal

ityO

.R.T

ambo

Dis

trict

mun

icip

ality

Eas

tern

Cap

eN

xuba

Loc

al M

unic

ipal

ityA

mat

ole

Dis

trict

mun

icip

ality

Eas

tern

Cap

eN

yand

eni L

ocal

Mun

icip

ality

O.R

.Tam

bo D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Por

t St J

ohns

Loc

al M

unic

ipal

ityO

.R.T

ambo

Dis

trict

mun

icip

ality

Eas

tern

Cap

eQ

auke

ni L

ocal

Mun

icip

ality

O.R

.Tam

bo D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Sak

hisi

zwe

Loca

l Mun

icip

ality

Chr

is H

ani D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Sen

qu L

ocal

Mun

icip

ality

Ukh

ahla

mba

Dis

trict

mun

icip

ality

Eas

tern

Cap

eS

unda

y's

Riv

er V

alle

y Lo

cal M

unic

ipal

ityC

acad

u D

istri

ct m

unic

ipal

ityE

aste

rn C

ape

Tsol

wan

a Lo

cal M

unic

ipal

ityC

hris

Han

i Dis

trict

mun

icip

ality

Eas

tern

Cap

eU

mzi

mvu

bu L

ocal

Mun

icip

ality

Alfr

ed N

zo D

istri

ct m

unic

ipal

ityFr

ee S

tate

Dih

labe

ng L

ocal

Mun

icip

ality

Thab

o M

ofut

sany

ane

Dis

trict

mun

icip

ality

NA

ME

OF

MU

NIC

IPA

LITY

AN

D D

ISTR

ICT

REF

EREN

CE

AN

NEX

UR

E J

- DIS

TRIC

T A

ND

MU

NIC

IPA

LITY

NA

ME

REF

EREN

CE

82

PRO

VIN

CE

NA

ME

OF

MU

NIC

IPA

LITY

NA

ME

OF

DIS

TRIC

TN

AM

E O

F M

UN

ICIP

ALI

TY A

ND

DIS

TRIC

T R

EFER

ENC

E A

NN

EXU

RE

J - D

ISTR

ICT

AN

D M

UN

ICIP

ALI

TY N

AM

E R

EFER

ENC

E

Free

Sta

teK

opan

ong

Loca

l Mun

icip

ality

Xha

riep

Dis

trict

mun

icip

ality

Free

Sta

teLe

tsem

eng

Loca

l Mun

icip

ality

Xha

riep

Dis

trict

mun

icip

ality

Free

Sta

teM

afub

e Lo

cal M

unic

ipal

ityN

orth

ern

Free

Sta

te D

istri

ct m

unic

ipal

ityFr

ee S

tate

Mal

uti a

Pho

fung

Loc

al M

unic

ipal

ityTh

abo

Mof

utsa

nyan

e D

istri

ct m

unic

ipal

ityFr

ee S

tate

Man

gaun

g Lo

cal M

unic

ipal

ityM

othe

o D

istri

ct m

unic

ipal

ityFr

ee S

tate

Man

tsop

a Lo

cal M

unic

ipal

ityM

othe

o D

istri

ct m

unic

ipal

ityFr

ee S

tate

Mas

ilony

ana

Loca

l Mun

icip

ality

Lejw

elep

utsw

a D

istri

ct m

unic

ipal

ityFr

ee S

tate

Mat

jhab

eng

Loca

l Mun

icip

ality

Lejw

elep

utsw

a D

istri

ct m

unic

ipal

ityFr

ee S

tate

Met

sim

ahol

o Lo

cal M

unic

ipal

ityN

orth

ern

Free

Sta

te D

istri

ct m

unic

ipal

ityFr

ee S

tate

Moh

okar

e Lo

cal M

unic

ipal

ityX

harie

p D

istri

ct m

unic

ipal

ityFr

ee S

tate

Moq

haka

Loc

al M

unic

ipal

ityN

orth

ern

Free

Sta

te D

istri

ct m

unic

ipal

ityFr

ee S

tate

Nal

a Lo

cal M

unic

ipal

ityLe

jwel

eput

swa

Dis

trict

mun

icip

ality

Free

Sta

teN

aled

i Loc

al M

unic

ipal

ityM

othe

o D

istri

ct m

unic

ipal

ityFr

ee S

tate

Ngw

athe

Loc

al M

unic

ipal

ityN

orth

ern

Free

Sta

te D

istri

ct m

unic

ipal

ityFr

ee S

tate

Nke

toan

a Lo

cal M

unic

ipal

ityTh

abo

Mof

utsa

nyan

e D

istri

ct m

unic

ipal

ityFr

ee S

tate

Phu

mel

ela

Loca

l Mun

icip

ality

Thab

o M

ofut

sany

ane

Dis

trict

mun

icip

ality

Free

Sta

teS

etso

to L

ocal

Mun

icip

ality

Thab

o M

ofut

sany

ane

Dis

trict

mun

icip

ality

Free

Sta

teTo

kolo

go L

ocal

Mun

icip

ality

Lejw

elep

utsw

a D

istri

ct m

unic

ipal

ityFr

ee S

tate

Tsw

elop

ele

Loca

l Mun

icip

ality

Lejw

elep

utsw

a D

istri

ct m

unic

ipal

ityG

aute

ngC

ity o

f Joh

anne

sbur

g M

etro

polit

an M

unic

ipC

ity o

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87

88

ANNEXURE K: RSA MUNICIPALITIES AND DISTRICT MANAGEMENT AREAS

90

ANNEXURE L: SPATIAL DISTRIBUTION OF WATER BACKLOGS (CS 2007)

92

ANNEXURE M: SPATIAL DISTRIBUTION OF WATER BACKLOGS (DWEA 2008)

94

ANNEXURE N: SPATIAL DISTRIBUTION OF WATER BACKLOGS (MUNICIPAL SOURCE 2008)

96

ANNEXURE O: AVERAGE NATIONAL SHARE OF WATER BACKLOGS

98

ANNEXURE P: SPATIAL DISTRIBUTION OF SANITATION BACKLOGS (CS 2007)

100

ANNEXURE Q: SPATIAL DISTRIBUTION OF SANITATION BACKLOGS (DWEA 2008)

102

ANNEXURE R: SPATIAL DISTRIBUTION OF SANITATION BACKLOGS (MUNICIPAL SOURCE 2008)

104

ANNEXURE S: AVERAGE NATIONAL SHARE OF SANITATION BACKLOGS

106

ANNEXURE T: SPATIAL DISTRIBUTION OF ELECTRICITY BACKLOGS (DME 2008)

108

ANNEXURE U: MUNICIPAL SHARE OF NATIONAL BACKLOGS (DME 2008)

110

ANNEXURE V: SPATIAL DISTRIBUTION OF REFUSE REMOVAL BACKLOGS (CS 2007)

112

ANNEXURE W: MUNICIPAL SHARE OF THE NATIONAL REFUSE BACKLOGS (CS 2007)

114

ANNEXURE X: SPATIAL DISTRIBUTION OF HOUSEHOLDS SERVEDWITH FREE BASIC ENERGY(MUNICIPAL SOURCE 2008)

116

ANNEXURE Y: SPATIAL DISTRIBUTION OF HOUSEHOLDS SERVEDWITH FREE BASIC WATER(MUNICIPAL SOURCE 2008)

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