JOE GQABI DISTRICT - ecsecc.org · Cape. The narrative report compares Joe Gqabi with the Eastern Cape and South Africa. Attached to the report are summary ... GEOGRAPHY 2 INTRODUCTION

INDICATORSDEVELOPMENT

JOEGQABI

DISTRICT MUNICIPALITY

JUNE 2012

ISBN 978-1-920493-58-5

FOREWORD

This report contains development indicators for Joe Gqabi District for the period 2000 to 2010. Indicators are provided foreconomic growth and transformation, demographics, poverty and income, labour force, crime, infrastructure and servicesand health.

The aim of the report is to provide up-to date information than can be utilised by municipalities, governmentdepartments, consultants and others in driving socio-economic planning and development in the regions of the EasternCape.

The narrative report compares Joe Gqabi with the Eastern Cape and South Africa. Attached to the report are summarytables for the district, local municipalities and the Eastern Cape. These summary tables provide statistics “at yourfingertips” for a range of indicators.

The report was commissioned by ECSECC and developed by Quantec. Unless otherwise is stated, this report uses data fromthe Quantec database. The Quantec database utilises the 2006 election demarcation boundaries.

Any data queries can be directed to ECSECC. The metadata documents referred to in this report can be found onhttp://www.ecsecc.org/files/library/documents/Quantec_Standardised_Regional_Metadata.pdf You can also find reportsfor all district municipalities, metropolitan municipalities and a provincial report for the Eastern Cape on ECSECC’s websitehttp://www.ecsecc.org/statistics-database. Summary tables are also available for all local municipalities in the EasternCape.

JOE GQABI DISTRICT DEVELOPMENT REPORT

GEOGRAPHY 2

INTRODUCTION 3

DEVELOPMENT GOALS 4

ECONOMIC GROWTH AND TRANSFORMATION 5

REGIONAL GROSS DOMESTIC PRODUCT (GDP-R) 6GROSS VALUE ADDED (GVA) 7GROSS OPERATING SURPLUS (GOS) 8TOTAL OUTPUT 9INTERMEDIATE CONSUMPTION EXPENDITURE 10TRESS INDEX 11

DEMOGRAPHICS 12

POPULATION 13HOUSEHOLDS 14

POVERTY 15

HUMAN DEVELOPMENT INDEX (HDI) 16

GINI COEFFICIENT 17

PEOPLE IN POVERTY 18POVERTY GAP 19EDUCATION 20DISPOSABLE INCOME 21

LABOUR FORCE 22

LABOUR FORCE 23UNEMPLOYMENT 24EMPLOYMENT 25

CRIME 26

MURDER 27SEXUAL CRIMES 27COMMON ROBBERY 28AGGRAVATED ROBBERY 28DRIVING UNDER THE INFLUENCE OF ALCOHOL 29

DRUG-RELATED CRIMES 29

INFRASTRUCTURE AND SERVICES 30

WATER 31

SANITATION 32

REFUSE 33

LIGHTING 34

HOUSING 35

TELEPHONE 36

HEALTH 37

HIV/AIDS 38TUBERCULOSIS (TB) 39

JOE GQABI

CONTENTS

EASTERN CAPE DEVELOPMENT REPORT: JOE GQABI

PAGE 1

JOE GQABI

GEOGRAPHY

EASTERN CAPE: DISTRICT COUNCILS

JOE GQABI : MAIN PLACES


PAGE 2

JOE GQABI

INTRODUCTION

The Joe Gqabi district borders the Free State Province and the country of Lesotho to the north, the district municipalities of Alfred Nzo, OR Tambo and

Chris Hani to the east and south and the Northern Cape Province to the west. The boundary of the district is an administrative boundary and not

necessarily an economic boundary. The west of the district (Gariep and Maletswai) is dry Karoo flatland and areas of the dry NamaKaroo biome. The

east (Senqu and Elundini) is mountainous and wetter with elements of the Maloti biome. Most of the district falls within the Orange River catchment

basin, except for Elundini, which falls in the Mzimvubu River Basin.

The Joe Gqabi District Municipality is very sparsely populated (about 6 people per km2).

The economy of the Joe Gqabi district is relatively small, contributing only 3,5% to the Eastern Cape economy.

The economic performance of the Joe Gqabi district has been satisfactory over the past decade or so. The average annual growth rate from 2000 to

2010 was 3.6%. The 2008–09 recession had a marginal effect on overall performance and growth rates dropped by -0.5%, as opposed to a national

average of -1.5% and a provincial average of -1%. However, the recovery has been slower. In 2010 the growth rate was only 2.3% in comparison with a

South African and an Eastern Cape average annual growth rate of 2.8% and 2.3% respectively.

The population’s quality of life is deteriorating as measured by the Human Development Index (HDI). This is largely because life expectancy is lower as a

result of the HIV/AIDS pandemic. Nevertheless, the Joe Gqabi district’s HDI is higher than the provincial average but less than that of South Africa.

Using the Gini coefficient, inequality in South Africa improved marginally from 0.664 in 2007 to 0.659 in 2010. The Eastern Cape, however, has become

more unequal with Gini coefficients of 0.636 in 2007 and 0.646 in 2010. The Gini coefficient for the district was 0.62 in 2008 and 0.61 in 2010 indicating a

moderate improvement. Nevertheless equity remains a problem.

Although the district’s poverty rate is lower than the provincial average, it is relatively high, with an estimated 170,000 people living in poverty.

The economy of the Joe Gqabi District Municipality is relatively small and there is evidence of above average economic growth in recent years. Its GDP

per capita is higher than the provincial average. The tertiary sector is the largest contributor to the municipality's economy.

The illiteracy rate in the Joe Gqabi district is relatively high with over 21.7% of the population being functionally illiterate. The number of people aged 15

years or older without any schooling is a matter for concern, although the number has fortunately been coming down. In 1995 more than 41,000 adults

had not received any schooling, but this figure dropped to just over 28,000 in 2010. This represents 8.6% of the population as opposed to 12.4% in 1995.

This 8.6% is higher than the figure for the Eastern Cape which stands at 7.2% and also higher than South Africa’s at 6.3%.

The number of economically active people in Joe Gqabi in 2009 was 78,000, representing 24% of the region’s population. The corresponding figures for

the Eastern Cape and South Africa are 27% and 33% respectively. In 1995 30% of the population were economically active. The LFPR has been falling and

is lower for the Joe Gqabi district at 32% than South Africa at 52%, which in turn is higher than the Eastern Cape at 44%. The unemployment rate in 2010

was 25%.

Crime in Joe Gqabi has generally been on a downward trend since 2004. The unweighted decline for total serious crimes has been -1.3% pa since 2004.

In comparison, the decline for South Africa was an average of

-2.5% pa and -3% pa for the Eastern Cape.

The South African Constitution states that municipalities have the responsibility to make sure that all citizens are provided with services to satisfy their

basic needs. Improving access to services has a crucial role to play in alleviating poverty, improving health and wellbeing and ensuring the dignity of

people. The term “services” broadly refers to infrastructure, in particular, civil and electrical engineering infrastructure. The Eastern Cape lags behind the

South African average with 24% of the population enjoying piped water and 17% having piped water inside their yards. Almost a quarter relies on dams,

rivers, streams, or springs, while only 8,000 rely on a water-carrier, tanker or water vendor for their water requirements. Although the number of

households having water piped into their dwelling or yard has increased since 1995, 38% still have to get their water from a community stand and a

further 29% rely on a natural water supply. In Joe Gqabi the proportion of households with access to electricity is less than in the Eastern Cape as a

whole. The proportion increased from just over one-third in 1995 to 60% in 2010. The number of households that rely on paraffin has halved from 27 to

14%.


PAGE 3

DEVELOPMENT GOALS

The development goals for the Eastern Cape and its sub-regions are as follows:

• Economic growth rate of 5-8% per annum.

• Half unemployment rate by 2014.

• 60 - 80% reduction in the number of households living below the poverty line and proportion of

people suffering from hunger by 2014.

• Food self-sufficiency in the Province by 2014.

• Universal education by 2014, with all children progressing to the first exit point in a secondary

education.

• Improve literacy rate by 50% by 2014.

• Clean water for all by 2014.

• Elimination of sanitation backlogs by 2014.

• Eliminate gender disparity in education and employment by 2014.

• Reduce by two-thirds the under-five mortality rate and three-quarters the maternal mortality rate by

2014.

• To halt and reverse the spread of HIV and AIDS, and TB by 2014.


PAGE 4

ECONOMIC GROWTH

AND

TRANSFORMATION

Economic development in the wake of the global crisis remains sluggish, with continued job losses

plaguing the recovery. Concerted, co-ordinated efforts should be undertaken to expand productive

sectors and to improve competitiveness in the Eastern Cape. Economic sectors currently targeted for

primary attention by the South African and Eastern Cape governments and local governments are those

that have been consistently identified in the Industrial Policy Action Plan 2 (IPAP2), the New Growth

Path and the Provincial Industrial Development Policy (PIDS) as exhibiting high labour absorption

potential, potential to address rural development, high growth potential and/or contribute to climate

change mitigation or adaptation.

The Provincial Industrial Development Strategy presents the Eastern Cape framework and broad

approach to industrialisation. PIDS sets out deliberate government efforts to alter the structure and

distribution of industrial activity to promote economic growth and development. Its vision is “a state-

led industrialisation path towards a robust, resilient and sustainable industrial base by 2025”. The

strategic imperatives of the PIDS are economic growth, labour absorption and job retention.

The prioritised sectors for the Eastern Cape are:

• Automotive;

• Agro-processing;

• Capital goods;

• Green economy;

• Petrochemicals; and,

• Tourism.

Within the framework of Provincial Industrial Development Strategy, New Growth Path and IPAP2

district and local municipalities identify priority sectors based on comparative and competitive

advantage, available natural resources. These sectors and priority projects are outlined in the

Integrated Development Plan and Local Economic Development strategy of all municipalities.

This section outlines key indicators for economic growth and transformation in the district.

PAGE 5


4 180 4 533 4 913 5 001 5 108

9.20 8.43 8.39 1.80 2.13

668 724 785 799 816

3.22 3.31 3.46 3.57 3.56

REGIONAL GROSS DOMESTIC PRODUCT (GDP-R)

ECONOMIC GROWTH AND TRANSFORMATION

REGIONAL GROSS DOMESTIC PRODUCT (GDP-R)The economy of the Joe Gqabi District Municipality is relatively small, contributing only 0.3%

of the South African economy and 3.6% to the Eastern Cape economy.

The performance of the district has been satisfactory over the past decade or so, with an

average annual growth rate from 2000 to 2010 of 5.2%. The 2008–09 recession had a

marginal effect overall performance and growth rates grew by 2%, as opposed to a national

average of -1.5% and a provincial average of -1%. However, the recovery has been slower. In

2010 the growth rate was only 2.3% compared with a South African and an Eastern Cape

annual average growth rate of 2.8 and 2.3% respectively.

The tertiary sector is the largest contributor to the municipality's economy, with a

contribution of 80%. This is followed by the secondary sector (14.9%) and the primary sector

(5.1%).

GDP-R as % of Eastern Cape (%)

GDP-R per Capita (R, 2005 prices)

REGIONAL GROSS DOMESTIC PRODUCT (GDP-R)

2006 2007 2008 2009 2010

GDP-R (Rm, 2005 prices)

% Change (y/y)

Definition Market value of all final goods and services produced within a region in a given period of time. Real GDP-R is the nominal GDP adjusted for inflation.

Data source Quantec*; StatsSA

Data note

GDP-R is calculated using the national ratio of gross value added to GDP at market prices and gross value added (GVA) for each location. Distribution variable is

calculated using variable as a percentage of the provincial total for the variable in question.

*Please consult the attached metadata documents.


PAGE 6

-4.00

-2.00

0.00

2.00

4.00

6.00

8.00

10.00

12.00

-

1 000

2 000

3 000

4 000

5 000

6 000

% C

han

ge (

y/y)

GD

P-R

(R

m, 2

00

5 p

rice

s)

GDP-R % CHANGE IN GDP-R (Y/Y)

-

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

-

100

200

300

400

500

600

700

800

900

GD

P-R

as

pe

rce

nta

ge o

f EC

(%

)

GD

P-R

pe

r C

apit

a (R

, 20

05

pri

ces)

GDP-R PER CAPITA DISTRIBUTION OF GDP-R

3 725 4 041 4 386 4 473 4 567

9.12 8.47 8.54 1.99 2.12

3.22 3.31 3.46 3.57 3.56

GROSS VALUE ADDED (GVA)


GROSS VALUE ADDED (GVA)Gross value added (GVA) measures the contribution to the economy of each individual

producer, industry or sector in a region. It is used in the estimation of gross domestic

product (GDP).

GVA = GDP - taxes on products + subsidies on products

The tertiary sector is dominated by general government (20.3%) and community, social and

personal services (11.4%). Both these sectors rely on government spending in the area. The

general government sector has grown an average of 3.6% since 2005. Government services

contribute 8.3% to the sector in the Eastern Cape and almost 1% to the sector in South

Africa. Community services have exhibited a strong growth since 1995 at 4.7% average

annual growth, while business services contribute 11.4% to the Joe Gqabi district’s

economy.

2006 2007 2008 2009

GVA as % of Eastern Cape (%)

GROSS VALUE ADDED (GVA) PER SECTOR (2010)

2010

GVA (Rm, 2005 prices)

% Change (y/y)

Definition

Gross value added (GVA) for a region includes the compensation of employees, the net operating surplus, the consumption of fixed capital (gross value added at

fixed costs), other taxes on production less other subsidies on production (gross value added at basic prices) in that region. SIC refers to the Standard Industrial

Classification all Economic Activities, is based upon the latest (third revision which appeared in 1990) International Standard Industrial Classification of all Economic

Activities (ISIC) with suitable adaptations for local conditions and is published by StatsSA.


Data noteDistribution variable is calculated using variable as a percentage of the provincial total for the variable in question.



PAGE 7

-4.00

-2.00

0.00

2.00

4.00

6.00

8.00

10.00

12.00

-

500

1 000

1 500

2 000

2 500

3 000

3 500

4 000

4 500

5 000

% C

han

ge (

y/y)

G

VA

as

pe

rce

nta

ge o

f EC

(%

)

GV

A (

Rm

, 20

05

) p

rice

s)

GVA % CHANGE IN GVA (Y/Y) DISTRIBUTION OF GVA

- 200 400 600 800 1 000 1 200 1 400

Agriculture, forestry and fishing

Mining and quarrying

Manufacturing

Electricity, gas and water

Construction

Wholesale and retail trade, catering and accommodation

Transport, storage and communication

Finance, insurance, real estate and business services

Community, social and personal services

General government

Rm, 2005 prices

1 584 1 795 2 025 2 059 2 152

14.86 13.28 12.81 1.71 4.48

3.08 3.23 3.45 3.59 3.58

GROSS OPERATING SURPLUS (GOS)Profits are an important economic measure in that they reflect the extent to which firms are

sustainable in the long term. If firms are relatively more profitable in one country or region

than others in the long run, new firms will then tend to relocate or establish themselves in

that area.

Gross operating surplus (GOS) is the surplus generated by an enterprise’s operations and

activities after the labour factor input has been recompensed. Although GOS is not exactly

the same as profits, it is used as a proxy and is useful in trend and cross-sectional analysis. It

does not, however, take factors such as depreciation or tax into account.

The GOS of the Joe Gqabi district was R2.2 billion in 2010, contributing just over 0.3% of

South Africa’s GOS and 3.6% of the Eastern Cape’s.

The three sectors that contribute the most to the Joe Gqabi district’s GOS are:

• Finance and insurance [SIC: 81-82]

• Wholesale and retail trade [SIC: 61-62]

• Business services [SIC: 83]

Agriculture is also important and contributes 8.2% of the Eastern Cape economy.

The finance and insurance sector was the fastest growing sector, exhibiting an average

growth of 23.6% between 2005 and 2010.


GROSS OPERATING SURPLUS (GOS)

GROSS OPERATING SURPLUS (GOS)

20102006 2007 2008 2009

GOS (Rm, 2005 prices)

% Change (y/y)

GOS as % of Eastern Cape (%)

Definition

Gross operating surplus (GOS) is the income received by factors of production in the economy, i.e. rent, interest and profit by those who owns the production

factors, taking into account the value of the consumption of fixed capital. SIC refers to the Standard Industrial Classification of all Economic Activities, is based

upon the latest (third revision which appeared in 1990) International Standard Industrial Classification of all Economic Activities (ISIC) with suitable adaptations for

local conditions and is published by StatsSA.

Data source Quantec*




PAGE 8

-4.00

-2.00

0.00

2.00

4.00

6.00

8.00

10.00

12.00

14.00

16.00

18.00

-

500

1 000

1 500

2 000

2 500

% C

han

ge (

y/y)

GO

S (R

m, 2

00

5 p

rice

s)

GOS % CHANGE IN GOS (Y/Y)

-

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

-

500

1 000

1 500

2 000

2 500

GO

S as

pe

rce

nta

ge o

f EC

(%

)

GO

S (R

m, 2

00

5 p

rice

s)

GOS DISTRIBUTION OF GOS

8 018 8 768 9 488 9 863 10 173

11.05 9.36 8.21 3.95 3.15

2.88 3.00 3.15 3.26 3.23

TOTAL OUTPUTTotal output includes products used as intermediaries, exports and products and services

destined for final demand.

Output has been increasing steadily since 2000, even during 2009 when the global recession

had an impact on the South African economy.

The Joe Gqabi district’s share of the Eastern Cape’s total output has remained stable at just

over 7%.

The sectors with the largest output are:

• General government [SIC: 91, 94]


• Community, social and personal services [SIC: 92, 95-6]

• Food, beverages and tobacco [SIC: 301-306]

• Wholesale and retail trade [SIC: 61-62]

In the Eastern Cape the sectors with the largest output are general government [SIC: 91, 94];

wholesale and retail trade [SIC: 61-62]; finance and insurance services [81-82]; business

services [SIC: 83]; and community, social and personal services [SIC: 92, 95-6].

The sectors with the largest share of South Africa’s output are transport equipment [SIC: 381-

387]; community, social and personal services [SIC: 92, 95-6]; electrical machinery and

apparatus [SIC: 361-363]; general government [SIC: 91, 94]; other non-metal mineral

products -342]; food, beverages and tobacco [SIC: 301-306]; textiles, clothing and leather

goods [SIC: 311-317]; and furniture and other manufacturing [SIC: 391-392].


TOTAL OUTPUT

TOTAL OUTPUT

2006 2007 2008 2009 2010

Output (Rm, 2005 prices)

% Change (y/y)

Output as % of Eastern Cape (%)

Definition

Total output of goods and services produced by a region, at basic prices. SIC refers to the Standard Industrial Classification of all Economic Activities, is based upon

the latest (third revision which appeared in 1990) International Standard Industrial Classification of all Economic Activities (ISIC) with suitable adaptations for local

conditions and is published by StatsSA.




PAGE 9


0.00

2.00

4.00

6.00

8.00

10.00

12.00

14.00

16.00

-

2 000

4 000

6 000

8 000

10 000

12 000

% C

han

ge (

y/y)

Ou

tpu

t (R

m, 2

00

5 p

rice

s)

OUTPUT % CHANGE IN OUTPUT (Y/Y)

-

0.50

1.00

1.50

2.00

2.50

3.00

3.50

-

2 000

4 000

6 000

8 000

10 000

12 000

Ou

tpu

t as

a p

erc

en

tage

of

EC (

%)

Ou

tpu

t (R

m, 2

00

5 p

rice

s)

OUTPUT DISTRIBUTION OF OUTPUT

4 292 4 727 5 102 5 390 5 606

12.79 10.13 7.93 5.64 4.01

2.64 2.78 2.91 3.04 3.00

INTERMEDIATE CONSUMPTION EXPENDITURE

INTERMEDIATE CONSUMPTION EXPENDITUREIntermediate consumption expenditure includes the inputs used to produce final goods and

services.

The sectors with the largest intermediate consumption expenditure include:

• General government [SIC: 91, 94]

• Food, beverages and tobacco [SIC: 301-306]


• Construction [SIC: 51-53]

• Community, social and personal services [SIC: 92, 95-6]

In the Eastern Cape the sectors with the largest intermediate consumption expenditure are

transport equipment [SIC: 381-387]; general government [SIC: 91, 94]; food, beverages and

tobacco [SIC: 301-306]; community, social and personal services [SIC: 92, 95-6]; wholesale

and retail trade [SIC: 61-62]; business services [SIC: 83]; finance and insurance [SIC: 81-82];

and petroleum products, chemicals, rubber and plastic [SIC: 331-338].

The sectors with the largest share of South Africa’s intermediate consumption expenditure

(per sector) include transport equipment [SIC: 381-387]; community, social and personal

services [SIC: 92, 95-6]; electrical machinery and apparatus [SIC: 361-363]; general

government [SIC: 91, 94]; food, beverages and tobacco [SIC: 301-306]; textiles, clothing and

leather goods [SIC: 311-317]; and other non-metal mineral products [SIC: 341-342].


INTERMEDIATE CONSUMPTION EXPENDITURE

20102006 2007 2008 2009

Int. consumption expenditure (Rm, 2005 prices)

% Change (y/y)

Int. consumption expenditure as % of the Eastern Cape (%)

Definition

Intermediate consumption expenditure represents the value of goods and services that the producer purchases in order to produce other goods and services. SIC

refers to the Standard Industrial Classification of all Economic Activities, is based upon the latest (third revision which appeared in 1990) International Standard

Industrial Classification of all Economic Activities (ISIC) with suitable adaptations for local conditions and is published by StatsSA.




PAGE 10


0.00

2.00

4.00

6.00

8.00

10.00

12.00

14.00

16.00

18.00

20.00

-

1 000

2 000

3 000

4 000

5 000

6 000

% C

han

ge (

y/y)

inte

rme

dia

te c

on

sum

pti

on

(R

m, 2

00

5 p

rice

s)

INT. CONSUMPTION % CHANGE IN INT. CONSUMPTION (Y/Y)

-

0.50

1.00

1.50

2.00

2.50

3.00

3.50

-

1 000

2 000

3 000

4 000

5 000

6 000

Inte

rme

dia

te c

on

sum

pti

on

as

a p

erc

en

tage

of

EC

(%)

inte

rme

dia

te c

on

sum

pti

on

(R

m, 2

00

5 p

rice

s)

INT. CONSUMPTION DISTRIBUTION OF INT. CONSUMPTION

76.70 76.30 76.50 76.50 76.40

-0.52 -0.52 0.26 0.00 -0.13

48.10 48.80 50.20 51.10 51.10

-0.82 1.46 2.87 1.79 0.00

TRESS INDEXThe sectoral composition of economic activity in a region is a good indication of the level of

diversification or concentration of a region’s economy and can be measured by the so-called

tress index. A tress index of zero represents a totally diversified economy. On the other

hand, the higher the index (closer to 100), the more concentrated or vulnerable the region’s

economy to exogenous variables, such as adverse climatic conditions, commodity price

fluctuations, and so forth.

The tress index for Joe Gqabi is 76.4 compared to 71.2 for the Eastern Cape and 66.1 for

South Africa.

Given that the structure of the economy changes very slowly, the tress index is fairly stable

over time. However, the economy has marginally diversified since 1995 when the tress index

was 79.2.


TRESS INDEX

INDUSTRY COMPOSITION BY SECTOR (2010)

2006 2007 2008 2009 2010

Tress Index for 23 industries

Tress Index for 10 industries

% Change (y/y)

% Change (y/y)

Definition

The level of diversification or concentration of a region’s economy is measured by a Tress index. A Tress index of zero represents a totally diversified economy. On

the other hand, the higher the index (closer to 100), the more concentrated or vulnerable the region’s economy to exogenous variables, such as adverse climatic

conditions, commodity price fluctuations, etc.




PAGE 11


-1.20

-1.00

-0.80

-0.60

-0.40

-0.20

0.00

0.20

0.40

74.00

75.00

76.00

77.00

78.00

79.00

80.00

% C

han

ge (

y/y)

Tre

ss In

de

x fo

r 2

3 in

du

stri

es

TRESS % CHANGE IN TRESS (Y/Y)

- 200 400 600 800 1 000 1 200 1 400 1 600

Agriculture, forestry and fishing

Mining and quarrying

Manufacturing

Electricity, gas and water

Construction

Wholesale and retail trade, catering and accommodation

Transport, storage and communication

Finance, insurance, real estate and business services

Community, social and personal services

General government

Rm, 2005 prices

Demographics are about the population of a region and the culture of the people there. Demographic

shifts tell us about the shifting composition of a region’s population. Demographic information allows

us to plan for the future, allocate scarce resources and monitor the impact of policy, political and

economic changes in society.

DEMOGRAPHICS

PAGE 12


338 384 333 401 328 185 326 602 326 072

-1.31 -1.47 -1.56 -0.48 -0.16

5.11 5.00 4.90 4.85 4.84

13.17 12.98 12.78 12.71 12.69

POPULATIONIn 2010 there were an estimated 824,383 people in the Joe Gqabi district.

The racial composition of the Joe Gqabi district is as follows:

• Black 93.3%

• Coloured 4.0%

• Asian 0.1%

• White 2.5%

The Joe Gqabi district’s population has been in decline since 2004. The annual rate of

population growth since 2005 has been about -1.0%, which is far below the national and

provincial averages.

From 2005 to 2010, the population groups grew at the following annual average:

• Black -1.1%

• Coloured -1.0%

• Asian 6.3%

• White -2.0%

The Joe Gqabi district is relatively sparsely populated with only 13 people per km2 compared

to South with 41 people per km2 and the Eastern Cape with 40 people per km2.

DEMOGRAPHICS

POPULATION

POPULATION BY AGE AND GENDER

20102006 2007 2008 2009

Population

Population as % of Eastern Cape (%)

% Change (y/y)

Population density

Definition The population includes all inhabitants (both South African citizens and foreigners) of all races, gender and ages.




PAGE 13


-2.00

-1.50

-1.00

-0.50

0.00

0.50

310 000

315 000

320 000

325 000

330 000

335 000

340 000

345 000

350 000

355 000

% C

han

ge (

y/y)

Nu

mb

er

of

pe

op

le

POP % CHANGE IN POP (Y/Y)

00-04

05-09

10-14

15-19

20-24

25-29

30-34

35-39

40-44

45-49

50-54

55-59

60-64

65-69

70-74

75-79

80+

Age

gro

up

(ye

ars)

FEMALE 2000 MALE 2000 FEMALE 2010 MALE 2010

94 954 95 505 95 980 97 597 99 644

0.76 0.58 0.50 1.69 2.10

5.74 5.70 5.66 5.69 5.75

0.76 0.58 0.50 1.69 2.10

NUMBER OF HOUSEHOLDSIn 2010 there were an estimated 326 072 households in the Joe Gqabi district. This

represents 0.8% of the South African households and 5.7% of those in the Eastern Cape.

The racial composition of households of the Joe Gqabi district is as follows:

• Black 94.1%

• Coloured 2.9%

• Asian 0.1%

• White 2.9%

Since 2005 the number of households in the Joe Gqabi district has declined marginally (-

0.3%), while the number of households in South Africa as a whole has increased by an

annual average rate of 1% per annum and 1.2% in the Eastern Cape.

From 2005 to 2010 households grew at the following annual average:

• Black 1.3%

• Coloured -0.2%

• Asian 6.3%

• White -2.9%

Currently, the trend is towards fewer people per household.

DEMOGRAPHICS

HOUSEHOLDS

DISTRIBUTION OF HOUSEHOLDS (2010)

2006 2007 2008 2009 2010

Households

% Change (y/y)

Households as % of Eastern Cape (%)

% Change (y/y)

DefinitionA person, or group of persons, who occupy a common dwelling unit (or part of it) at least four days a week on average. They live together and share resources as a

unit.




PAGE 14


0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

75 000

80 000

85 000

90 000

95 000

100 000

105 000

% C

han

ge (

y/y)

Nu

mb

er

of

ho

use

ho

lds

HH % CHANGE IN HH (Y/Y) HHDIST

0 10 000 20 000 30 000 40 000 50 000 60 000 70 000

Black households

Coloured households

Asian households

White households

Number of households

Poverty in the Eastern Cape remains widespread and deep. Due to South Africa’s Apartheid history

poverty is intergenerational and structural. The South African and Eastern Cape governments have

undertaken a series of programmes to address poverty and have been achieving successful

mainstreaming of anti-poverty initiatives into the planning and implementation of government

programmes and in the budgeting process. However, government programmes implemented since

1994 have not yielded the desired impact in eradicating poverty. The notable exception to this is the

availability of social security grants. In the Eastern Cape, the number of people living on less than a

dollar a day is largely eradicated due to comprehensive social security programmes.

In May 2012 the Eastern Cape government adopted an anti-poverty strategy. The strategic goals of the

strategy are to:

• Eradicate extreme poverty and hunger;

• Promote sustainable community livelihoods and self reliant households; and,

• Ensure well targeted, joined-up implementation and service delivery by government and its social

partners.

POVERTY

AND

INCOME

PAGE 15


0.492 0.496 0.499 0.498 0.497

HUMAN DEVELOPMENT INDEX (HDI)

HUMAN DEVELOPMENT INDEX (HDI)

POVERTY AND INCOME

The Human Development Index (HDI) is a comparative measure of health, education and income, measured in terms of life expectancy, literacy and level of education, and GDP

per capita, respectively. It is a standard means of measuring living standards.

Although the index has also been described as "redundant" and a "reinvention of the wheel", measuring aspects of development that have already been exhaustively studied, it

is useful for measuring progress over time and the impact of economic policies on quality of life.

In South Africa the HDI has dropped from 0.627 in 1995 to 0.556 in 2010, although the index has been fairly constant for the past few years. The HDI for the Eastern Cape has

been lower than South Africa’s HDI since 1995 and has dropped from 0.582 (1995) to 0.513 (2010). The trend for the past five years has been downward, largely because of the

lower life expectancy resulting from the HIV/AIDS pandemic.

In 2010 the district’s HDI was 0.50 which was lower than the provincial HDI but lower than South Africa’s.

20102006 2007 2008 2009

HDI

DefinitionThe Human Development Index (HDI) is a comparative measure of health, education and income, measured in terms of life expectancy, literacy and level of

education, and GDP per capita, respectively. It is a standard means of measuring living standards.


Data note

It is important to note that the UNDP publishes an annual development report with its own HDI figures. Unfortunately the methodology changes making

comparisons difficult. The latest UNDP report (2011) lists South Africa with an HDI of 0.619 and ranks it 123 in the world. The HDI presented above should

therefore not be compared to the UNDP's HDI.

PAGE 16


0.482

0.484

0.486

0.488

0.490

0.492

0.494

0.496

0.498

0.500

0.502

0.504

HD

I

HDI

0.626 0.621 0.617 0.613 0.608

GINI COEFFICIENT

GINI COEFFICIENT

POVERTY AND INCOME

Poverty and inequality remain major challenges for the Joe Gqabi district, the Eastern Cape and South Africa alike. The Gini coefficient is merely an indicator of how equally

income (or poverty) is distributed, as countries that have identical Gini coefficients can differ greatly in terms of income and quality of life. The Gini coefficient measures the

extent to which the incomes of individuals or households in an economy deviate from a perfectly equal distribution. It is important to bear in mind that the Gini coefficient is

neither a necessary nor a sufficient indicator or condition for improving the lives of the poor in South Africa.

Methodological differences in the available underlying data and differences in the methodology by which the Gini coefficient is calculated, complicate comparisons.

The Gini coefficient measures inequality using a ratio analysis that makes it easy to interpret. A Gini coefficient of 0 represents perfect equality and 1 means perfect inequality.

Using the Gini coefficient, inequality in South Africa improved marginally from 0.664 in 2007 to 0.659 in 2010. The Eastern Cape on the other hand became more unequal with

Gini coefficients of 0.636 in 2007 and 0.646 in 2010.

The Gini coefficient for the district was 0.62 in 2008 and 0.61 in 2010 indicating a moderate improvement. Nevertheless equity remains a problem.

In the past inequality in South Africa was largely defined along racial lines. Today it has become increasingly defined by inequality within population groups, as the gap between

rich and poor within each group has increased substantially.

2006 2007 2008 2009 2010

Gini coefficient

DefinitionThe Gini coefficient measures the inequality as a proportion of its theoretical maximum. The Gini coefficient ranges from 0 (no inequality) to 1 (complete

inequality).

Data source Quantec*; Presidency


PAGE 17

Data note *Please consult the attached metadata documents.

0.580

0.590

0.600

0.610

0.620

0.630

0.640

0.650

Gin

i co

eff

icie

nt

GINI COEFFICIENT

204 486 179 900 184 605 176 888 169 787

-4.61 -12.02 2.61 -4.18 -4.01

60.43 53.96 56.25 54.16 52.07

338 384 333 401 328 185 326 602 326 072

PEOPLE IN POVERTYPoverty is notoriously difficult to define but researchers typically take one of two

approaches; the first is the poverty-line approach and the second is the access-to-services

approach. Following the poverty-line approach, the number of households that fall below a

chosen minimum income threshold are said to be living in poverty (the minimum income

threshold is the minimum level of income that is required to meet basic needs).

The number of people living poverty in both South Africa and the Eastern Cape is declining.

Of the 22 million people living in poverty in South Africa, nearly 3.9 million people live in the

Eastern Cape. This means that 44% of South Africa’s population and 57% of the province’s

population are living in poverty.

There are an estimated 169,787 people living in poverty in the district, representing 52% of

the district’s local population. The number of people living poverty is declining, however, and

since 2005 it has declined by an annual average of -4.6%.

PEOPLE IN POVERTY

POVERTY AND INCOME

POVERTY RATE

20102006 2007 2008 2009

Number of people living in poverty

% Change (y/y)

Poverty rate (%)

Population

DefinitionNumber of people living below the poverty line. There is no official poverty line defined in South Africa, therefore UNISA's BMR poverty line has been used. The

poverty line for Port Elizabeth is R1 892 per month at 2005 prices and has been used as a benchmark for all the districts in the Eastern Cape.

Data source StatsSA; Quantec; BMR

Data noteThe Minimum Living Levels were projected from calculations of previously disadvantaged households living in former segregated urban areas in Port Elizabeth in

2003/2004. The poverty rate is taken as the percentage of people in poverty relative to the population of that area.


PAGE 18

-14.00

-12.00

-10.00

-8.00

-6.00

-4.00

-2.00

0.00

2.00

4.00

-

50 000

100 000

150 000

200 000

250 000

300 000

% C

han

ge (

y/y)

Nu

mb

er

of

pe

op

le l

ivin

g in

po

vert

y

POV % CHANGE IN POV (Y/Y)

-

10.00

20.00

30.00

40.00

50.00

60.00

70.00

80.00

310 000

315 000

320 000

325 000

330 000

335 000

340 000

345 000

350 000

355 000

Po

vert

y ra

te (

%)

Po

pu

lati

on

POP PERCENTAGE POV

34 213 32 445 30 762 29 402 28 141

-5.01 -5.17 -5.19 -4.42 -4.29

74 581 73 232 71 969 71 414 71 033

-1.88 -1.81 -1.72 -0.77 -0.53

NO SCHOOLING: PERSONS AGED 15+

EDUCATION

POVERTY AND INCOME

The effects of education (or non-education) are extensive throughout society. Education

links directly to poverty-reduction efforts, with poverty levels tending to be lower among

families in which the head of the household has had some education than in those where

the head of the household has no education. Education is also directly related to improved

health and impacts especially on premature death rates among children. Even with

improved education levels, jobs may still be hard to find, although education considerably

enhances the chances of finding employment.

The illiteracy rate in the Joe Gqabi district is relatively high with over 21.7% of the population

being functionally illiterate.

The number of people aged 15 years or older without any schooling is a matter of concern.

Fortunately this figure has been coming down. In 1995 more than 41,000 adults had not

received any schooling, but this figure dropped to just over 28,000 in 2010. This represents

8.6% of the population as opposed to 12.4% in 1995. This is higher than the percentage for

the Eastern Cape at 7.2% and for South Africa at 6.3%.

This has, however, been improving. Since 1995 the number has been dropping by an average

of -2.4% per annum, although this rate of improvement has declined in recent years to an

average of -3.9% per annum since 2005.

ILLITERACY: PERSONS AGED 20+

2006 2007 2008 2009 2010

Number of people with no schooling

% Change (y/y)

% Change (y/y)

Number of illiterate people

Definition A literate adult is defined as a person 20 years and older who has achieved at least seven years of education (i.e. passed grade 7).




PAGE 19


-6.00

-5.00

-4.00

-3.00

-2.00

-1.00

0.00

-

5 000

10 000

15 000

20 000

25 000

30 000

35 000

40 000

45 000

% C

han

ge (

y/y)

Nu

mb

er

of

pe

op

le a

ged

15

+ ye

ars

wit

h n

o

sch

oo

ling

SCHOOL % CHANGE IN SCHOOL (Y/Y)

-2.00

-1.80

-1.60

-1.40

-1.20

-1.00

-0.80

-0.60

-0.40

-0.20

0.00

66 000

68 000

70 000

72 000

74 000

76 000

78 000

80 000

82 000

% C

han

ge (

y/y)

Nu

mb

er

of

illit

era

te p

eo

ple

age

20

+ ye

ars

ILLIT % CHANGE IN ILLIT (Y/Y)

3 546 3 835 4 017 4 013 4 188

7.82 8.16 4.75 -0.10 4.35

POVERTY AND INCOME

HOUSEHOLD EXPENDITURE

HOUSEHOLD EXPENDITUREHousehold expenditure in this district is estimated to be just under R4.2 billion. Household

income is R4.3 billion - indicating very little household savings.

Households tend to spend less on durable goods (just over 10%) and a greater percentage

on non-durable goods and services. There is consequently very little wealth accumulation.

DISTRIBUTION OF HOUSEHOLD EXPENDITURE (2010)

2006 2007 2008 2009 2010

Household expenditure (Rm, 2005 prices)

% Change (y/y)

Definition Final consumption expenditure by households.


PAGE 20



-1.00

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

-

500

1 000

1 500

2 000

2 500

3 000

3 500

4 000

4 500

% C

han

ge (

y/y)

An

nu

al t

ota

l HH

exp

en

dit

ure

(R

m, 2

00

5 p

rice

s)

HH EXPENDITURE % CHANGE IN HH EXPENDITURE (Y/Y)

- 500 1 000 1 500 2 000

Durable goods

Semi-durable goods

Non-durable goods

Services

R, 2005 prices

3 546 3 842 4 053 4 072 4 291

6.84 8.33 5.48 0.47 5.40

DISPOSABLE INCOME

POVERTY AND INCOME

DISPOSABLE HOUSEHOLD INCOMETotal household income for 2010 in the Joe Gqabi district was estimated at R4,291 million,

most of which (97.6%) was used as household expenditure. Of total income, remuneration

(salaries, wages, business proceeds etc.) accounted for 61.1% and whole unearned income

accounted for 38.9% of total income, which suggests that considerably more than a third of

households in the district are surviving on pensions, government grants and remittances.

The average household income in Joe Gqabi in 2010 was just more than R43,000 (2005).

DISTRIBUTION OF DISPOSABLE INCOME (2007)

2006 2007 2008 2009 2010

Disposable income (R, 2005 prices)

% Change (y/y)

Definition Disposable household income looks at the total household income for the region less the tax commitments by all the members of that household.


PAGE 21




0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

9.00

-

500

1 000

1 500

2 000

2 500

3 000

3 500

4 000

4 500

5 000

% C

han

ge (

y/y)

An

nu

al t

ota

l d

isp

osa

ble

inco

me

(R

m, 2

00

5)

HH INCOME % CHANGE IN HH INCOME (Y/Y)

0 5 000 10 000 15 000 20 000 25 000

No income

R 1- R 4,800

R 4,801- R 9,600

R 9,601- R 19,200

R 19,201- R 38,400

R 38,401- R 76,800

R 76,801- R 153,600

R 153,601- R 307,200

R 307,201- R 614,400

R 614,401- R 1,228,800

R 1,228,801- R 2,457,600

R 2,457,601 or more


Inco

me

cat

ego

ry (

R, 2

00

5 p

rice

s)

LABOUR FORCE

It is well known that South Africa and the Eastern Cape is facing a jobs crisis. There are large numbers of

unemployed people, large and increasing numbers of discouraged workers and a growing non-

economically active population. Official unemployment has remained around the 30% mark for more

than 15 years. The Eastern Cape has the highest net out-migration of any province in SA. In the absence

of high net out-migration the Eastern Cape’s unemployment rates would be much higher than they

currently are. Further there is a large and steady inflow of new entrants into the labour market from our

schools. The jobs crisis is compounded by a skills crisis.

The Eastern Cape government has developed a Jobs Strategy. The purpose of the Jobs Strategy is to

present the provincial government’s understanding of the present provincial jobs and skills crises and

explain and justify government’s comprehensive approach to tackling these crises. The strategy shows

how government’s activities are being ramped up to align with the New Growth Path (NGP) jobs

targets. Sectors and projects with job-creation potential are identified. Quantified and disaggregated

job creation targets for 2012-15 have been developed. The strategy also identifies and defines the

priority interventions necessary to achieve these targets and identifies key issues, challenges and

constraints that must be addressed to optimise job creation outcomes.

The strategy has five pillars:

1) Retain existing jobs.

2) Stimulate new jobs in priority sectors.

3) Build the social economy.

4) Increase the pace of provincial economic infrastructure investments in critical areas.

5) Radically improve our skills development processes.

This section outlines key indicators for the labour market in the region.

PAGE 22


89 427 86 038 82 725 78 468 75 805

-1.11 -3.79 -3.85 -5.15 -3.39

4.64 4.54 4.46 4.37 4.23

48.13 46.52 44.92 42.25 40.35

LABOUR FORCE

LABOUR MARKET

ECONOMICALLY ACTIVE POPULATION (EAP)The economically active population (EAP) includes all persons of either sex, and above a

certain age, who supply labour for productive activities, during a specified time-reference

period. Productive activities are either market production activities (work done for others

and usually associated with pay or profit) or non-market production activities (work done for

the benefit of the household, e.g. subsistence farming). The EAP therefore includes the

proportion of the population from 15 to 64 years of age that is employed, self-employed or

seeking employment. In essence, it is the number of people that are willing and able to work

and can generally be viewed as the labour force.

The number of economically active people in Joe Gqabi in 2009 was 78,000, representing

24% of the region’s population. The corresponding figure for the Eastern Cape is 27% and

33% for South Africa. In 1995, 30% of the population was economically active.

The labour force participation rate (LFPR) has been falling. Moreover, the LFPR for the Joe

Gqabi district is lower (32%) than that of South Africa (52%) which in turn is higher than that

of the Eastern Cape (44%).

Although the population has been growing, the labour force has been falling by an average -

3.5% pa since 2005. Nationally, this decline is

-1.1% pa. This can be attributed to the growing number of the population that can be

described as “not economically active”. Since 2006 this has grown at almost 5% pa. Of

concern is the growth in the number of discouraged work seekers, which has grown by a

staggering 34% pa since 2006. Although high, the national average is about half that of the

Eastern Cape at 17.2% pa.

LABOUR FORCE PARTICIPATION RATE

20102006 2007 2008 2009

EAP

% Change (y/y)

LFPR (%)

EAP as % of Eastern Cape (%)

Definition

Economically active population (or labour force) consists of employed and unemployed people and refers to the working age population (between the ages of 15-

65). The not economically active population are people out of the labour market who are not available for work and includes students, fulltime scholar, fulltime

homemakers, retired and those unable or unwilling to work. The labour force participation rate (LFPR) is the labour force divided by the population of working age

(15 to 64 years).


PAGE 23




-6.00

-5.00

-4.00

-3.00

-2.00

-1.00

0.00

1.00

2.00

3.00

-

20 000

40 000

60 000

80 000

100 000

120 000

% C

han

ge (

y/y)

Nu

mb

er

of

eco

no

mic

ally

act

ive

pe

rso

ns

(EA

P)

EAP % CHANGE IN EAP (Y/Y)

-

10.00

20.00

30.00

40.00

50.00

60.00

-

20 000

40 000

60 000

80 000

100 000

120 000

LFP

R (

%)

Nu

mb

er

of

eco

no

mic

ally

act

ive

pe

rso

ns

(EA

P)

EAP LFPR

23 696 21 944 20 110 18 773 18 900

-5.38 -7.39 -8.36 -6.65 0.68

26.50 25.50 24.31 23.92 24.93

UNEMPLOYMENT

LABOUR MARKET

NUMBER OF UNEMPLOYEDEmployment is a function of economic activity. As the economy grows so does the number

of people employed. In recent times, employment growth has not been commensurate with

economic growth rates. This is because some sectors are able to create more employment

opportunities with a given economic growth rate.

Creating jobs for unskilled labour is especially difficult, hindering efforts to disperse the

benefits of economic growth more evenly. The number of total employed has been

decreasing since 2000. Jobs have been shed at a rate of -2.7% pa since 2005. In 2001, 71,000

people were employed but this dropped to 57,000 in 2010.

The percentage of employed people with formal jobs is declining slowly as more people find

informal positions. In South Africa this fell from 87% in 1995 to 82% in 2010. The same trend

is evident in the Eastern Cape where 85% formal employment was recorded in 1995 and

only 75% in 2010. Joe Gqabi follows this trend with 84% formally employed in 1995 and only

76% in 2010.

It is evident that there is a lower percentage of highly skilled and skilled people working Joe

Gqabi than in the Eastern Cape or South Africa as a whole.

In addition, 24% of employed people have found work in the informal sector compared to

25% in the Eastern Cape and 18% in South Africa.

UNEMPLOYMENT RATE

20102006 2007 2008 2009

Unemployment

% Change (y/y)

Unemployment rate (%)

Definition

The unemployed are those people within the economically active population who: 1) did not work during the seven days prior to the interview 2) want to work

and are available to start work within two weeks of the interview 3) have taken steps to look for work or to start some form of self-employment in the four weeks

prior to the interview. The expanded definition of unemployment excludes criterion (3). The unemployment rate is the total number of unemployed persons as a

percentage of the economically active population (or labour force).



PAGE 24



-10.00

-8.00

-6.00

-4.00

-2.00

0.00

2.00

4.00

-

5 000

10 000

15 000

20 000

25 000

30 000

% C

han

ge (

y/y)

Nu

mb

er

of

un

em

plo

yed

pe

rso

ns

UNEMPL % CHANGE IN UNEMPL (Y/Y)

21.00

22.00

23.00

24.00

25.00

26.00

27.00

28.00

29.00

310 000

315 000

320 000

325 000

330 000

335 000

340 000

345 000

350 000

355 000

Un

em

plo

yme

nt

rate

(%

)

Po

pu

lati

on

POP UNEMPL RATE

75.97 76.28 76.72 75.84 76.22

24.03 23.72 23.28 24.16 23.78

65 731 64 094 62 615 59 695 56 905

73.50 74.50 75.69 76.08 75.07

LABOUR MARKET

EMPLOYMENT

FORMAL AND INFORMAL EMPLOYMENTThe number of employed people in Joe Gqabi has dropped since 2001, largely due to the

decline in formal employment.

The percentage of employed people with formal jobs is declining slowly as more people find

informal positions. In South Africa this fell from 87% in 1995 to 82% in 2010.

The same trend is evident in the Eastern Cape where 85% formal employment was recorded

in 1995 and only 75% in 2010.

EMPLOYMENT RATE

20102006 2007 2008 2009

Formal employment as % of total employment (%)

Informal employment as % of total employment (%)

Employment rate (%)

Total employment

Definition

The employed include all people that are employed either by the formal or the informal sector or those that are self employed. The informal economy has no

formal definition and is sometimes called the unrecorded economy, shadow economy or hidden economy. Businesses in this sector are generally so small that

they cannot or do not want to pay taxes or are engaged in illegal activities. Employers in the formal sector are businesses that generally comply with all tax and

other regulations and are typically larger than those in the informal sector.



PAGE 25

Data noteDistribution variable is calculated using variable as a percentage of the provincialtotal for the variable in question.


-6.00

-5.00

-4.00

-3.00

-2.00

-1.00

0.00

1.00

2.00

3.00

-

10 000

20 000

30 000

40 000

50 000

60 000

70 000

80 000

% C

han

ge (

y/y)

Tota

l nu

mb

er

of

pe

rso

ns

em

plo

yed

in t

he

fo

rmal

an

d in

form

al s

ect

or

FORMAL EMPL INFORMAL EMPL % CHANGE IN EMPL (Y/Y)

69.00

70.00

71.00

72.00

73.00

74.00

75.00

76.00

77.00

310 000

315 000

320 000

325 000

330 000

335 000

340 000

345 000

350 000

355 000

Emp

loym

en

t ra

te (

%)

Po

pu

lati

on

POP EMPL RATE

CRIME

High levels of crime are a concern to all South Africans. South Africa has an extraordinarily high rate of

murders, assaults, rapes (adult, child and infant), and other crimes compared to most countries. The

South Africa Police Service (SAPS) is tasked with policing and crime prevention. In the Eastern Cape

there are 17,600 sworn police officers and over 4,000 civilian police officers.

The crime prevention strategy for the Eastern Cape focuses on strengthening communities against

crime, preventing violence, preventing corruption and strengthening the criminal justice system.

The Eastern Cape Department of Safety and Liaison reports that crimes of particular concern for the

Eastern Care are:

• Crimes involving fire-arms which have significantly increased the level of violence associated with

crime;

• Organised crime, including the organised smuggling of narcotics and human trafficking;

• Gender Based Violence and crimes against women and children;

• Violence associated with inter-group conflict, such as political conflicts, taxi violence and land

disputes;

• Vehicle theft and hijacking; and,

• Corruption within the criminal justice system .

PAGE 26


689 643 636 572 548

7.28 -6.67 -1.10 -10.08 -4.27

1 621 1 523 1 632 1 599 1 640

7.28 -6.67 -1.10 -10.08 -4.27

CRIME

MURDER AND SEXUAL CRIMES

MURDERCrime in the Joe Gqabi district has generally been on a downward trend since 2004. The

unweighted decline for total serious crimes has been

-1.3% pa since 2004. The decline for South Africa and the Eastern Cape was -2.5 and -3% pa

respectively.

MURDER

In 2010, there were 168 murders in Joe Gqabi compared with 199 the year before.

Accordingly, there has been a downward trend with murders decreasing -2.8% annually

since 2004. This decrease is better than the national average which has also declined by -

2.5% pa since 2004 and the provincial average of-2.4% pa.

Attempted murder has also declined by -3.4% pa since 2004. This is above the national

average (which declined by -7%) and the provincial average (which declined by -8%).

Nevertheless, the murder rate in Joe Gqabi remains high at 168 murders per 100,000 people -

the rate in 2010 for South Africa and the Eastern Cape was 32 and 47 murders per 100,000

respectively.

SEXUAL CRIMES

Sexual crimes have been increasing at an average of 0.6% pa since 2004. In 2010, 1,640

incidents were reported in the Joe Gqabi district. Nationally, sexual crimes have been

decreasing moderately (-0.2% pa since 2004) but increasing in the Eastern Cape (0.5% pa

since 2004).

In 2010, Joe Gqabi had 503 sexual crimes per 100,000 people. This is higher than the rate for

South Africa (135 sexual crimes per 100,000 people) and about the same as the Eastern Cape

(161 sexual crimes per 100,000 people). However, it is by far the highest of all the districts in

the Eastern Cape.

SEXUAL CRIMES

2006 2007 2008 2009 2010

Number of cases of murder

% Change (y/y)

Number of cases of sexual crime

% Change (y/y)

Definition

Murder is a social contact crime resulting in the loss of life of the victim, but excludes cases where the loss of life occurred as a result of a response to a crime, i.e.

self defence.

The concept of sexual crimes includes rape (updated to the new definition of rape to provide for the inclusion of male rape), sex work, pornography, public

indecency and human trafficking.

Data source Quantec, SAPS


PAGE 27

Data note The police station areas have been generalised around point objects.

-12.00

-10.00

-8.00

-6.00

-4.00

-2.00

0.00

2.00

4.00

6.00

8.00

10.00

-

100

200

300

400

500

600

700

800

% C

han

ge (

y/y)

Nu

mb

er

of

case

s o

f m

urd

er

MURDER % CHANGE IN MURDER (Y/Y)

-8.00

-6.00

-4.00

-2.00

0.00

2.00

4.00

6.00

8.00

1 400

1 450

1 500

1 550

1 600

1 650

1 700

% C

han

ge (

y/y)

Nu

mb

er

of

case

s o

f se

xual

cri

me

s

SEX % CHANGE IN SEX (Y/Y)

1 415 1 101 1 104 952 786

0.23 -22.16 0.27 -13.75 -17.46

3 214 2 839 3 481 3 093 2 706

0.23 -22.16 0.27 -13.75 -17.46

CRIME

ROBBERY

COMMON ROBBERYCOMMON ROBBERY

Although 786 common robberies were reported in 2010, there has been a substantial

reduction since 2004 when 1,627 common robberies were reported. The average rate of

decline has been -11.4% pa since 2004 compared with a decline of -8% pa for South Africa

and -10% pa for the Eastern Cape.

The common robbery rate in Joe Gqabi (241 common robberies per 100,000) is higher than

South Africa (110 common robberies per 100,000) and the Eastern Cape (113 common

robberies per 100,000).

20102006 2007 2008 2009

AGGRAVATED ROBBERY

Number of cases common robbery

% Change (y/y)

Number of cases of aggravated robbery

% Change (y/y)

DefinitionIn a common robbery incident, offenders usually do not have a firearm. In order to execute the robbery, they use swift action and the element of surprise to

ensure that they manage to take the victim’s possessions.




PAGE 28

-25.00

-20.00

-15.00

-10.00

-5.00

0.00

5.00

-

200

400

600

800

1 000

1 200

1 400

1 600

1 800

% C

han

ge (

y/y)

Nu

mb

er

of

case

s o

f co

mm

on

ro

bb

ery

COMMON ROBBERY % CHANGE IN COMMON ROBBERY (Y/Y)

-20.00

-15.00

-10.00

-5.00

0.00

5.00

10.00

15.00

20.00

25.00

-

500

1 000

1 500

2 000

2 500

3 000

3 500

4 000

% C

han

ge (

y/y)

Nu

mb

er

of

case

s o

f ag

grav

ate

d r

ob

be

ry

AGGRAGATED ROBBERY % CHANGE IN AGGRAGATED ROBBERY (Y/Y)

971 1 652 1 226 1 572 1 122

70.12 70.16 -25.74 28.17 -28.60

3 128 2 969 2 799 2 875 3 592

70.12 70.16 -25.74 28.17 -28.60

CRIME

DRIVING UNDER THE INFLUENCE OF ALCOHOL AND DRUG-RELATED CRIME

DRUG-RELATED CRIME

2006 2007 2008 2009

DRIVING UNDER THE INFLUENCE OF ALCOHOLDRIVING UNDER THE INFLUENCE OF ALCOHOL

The number of cases of driving under the influence of alcohol or drugs has increased

substantially over the past few years. In 2004, 444 incidents were dealt with in the district

compared with 1,122 in 2010. This represents an increase of 17% pa since 2004, although

this is lower than the increases over the same period for both national (15% pa) and

provincial (16% pa) contraventions.

The rate of offences per 100,000 people for driving under the influence of alcohol is high in

the district (344 per 100,000) compared to 131 per 100,000 people in South Africa and

112per 100,000 in the Eastern Cape.

DRUG-RELATED CRIME

In 2010, 3,592 drug-related crimes were reported in the district. Drug-related crimes have

increased in the Joe Gqabi area by an average of 9% pa since 2004. This is compared to an

increase of 12% pa since 2004 for the whole of South Africa and 8% pa for the Eastern Cape.

The rate of offences per 100,000 people for drug-related crime is high in the Eastern Cape

(293 per 100,000 people) but very high in the Joe Gqabi district area (1,102 per 100,000

people). The national rate is 298 per 100,000 people.

2010

Number of cases of drunk driving

% Change (y/y)

% Change (y/y)

Number of cases of drug-related crime

Definition

Driving under the influence of alcohol refers to the situation where the driver of a vehicle is found to be over the legal blood-alcohol limit. This is a crime detected

through police activity rather than reports by members of the public.

Drug-related crime refers to the situation where the perpetrator is found to be in possession of, under the influence of, or selling illegal drugs. This is a crime

detected through police activity rather than reports by members of the public. An increase in crimes of this nature may therefore reflect an increase in police

activity and visibility.



PAGE 29


-40.00

-20.00

0.00

20.00

40.00

60.00

80.00

100.00

-

200

400

600

800

1 000

1 200

1 400

1 600

1 800

% C

han

ge (

y/y)

Nu

mb

er

of

case

s o

f d

rivi

ng

un

de

r th

e in

flu

en

ce

of

alco

ho

l

ALCOHOL % CHANGE IN ALCOHOL (Y/Y)

-10.00

-5.00

0.00

5.00

10.00

15.00

20.00

25.00

30.00

35.00

-

500

1 000

1 500

2 000

2 500

3 000

3 500

4 000

% C

han

ge (

y/y)

Nu

mb

er

of

case

s o

f d

rug-

rela

ted

cri

me

s

DRUGS % CHANGE IN DRUGS (Y/Y)

SERVICES

AND

INFRASTRUCTURE

The South African Constitution states that municipalities have the responsibility to make sure that all

citizens are provided with services to satisfy their basic needs. Improving access to services has a crucial

role to play in alleviating poverty, improving health, wellbeing and ensuring the dignity of people.

The term “services” broadly refers to infrastructure, in particular, civil and electrical engineering

infrastructure. The notion of access to service in South Africa generally refers to a service above the

1994 Reconstruction and Development Plan (RDP) prescribed standards and levels of service.

Access to services does not indicate the quality or sustainability of the service.

The most important municipal services are water supply, sewage collection and disposal, refuse

removal and electricity supply. Housing and access to telephone are not considered municipal services,

but are included here due to their importance.

PAGE 30


94 954 95 505 95 980 97 597 99 644

9.44 9.81 10.20 10.56 10.92

3.68 3.89 3.97 3.52 3.50

SERVICES AND INFRASTRUCTURE

WATER

ACCESS TO WATER

ACCESS TO WATER BY CATEGORY (2010)

2010

Piped water is accessed by 39% of South African households and a further 26% have piped

water inside their yards. A further 25% have piped water on community stand – half of these

are more than 200 m from their dwellings. A tenth relies on a natural water supply

(boreholes, rainwater tanks, dams, rivers, streams, or springs)

The Eastern Cape lags behind the South African average with 24% enjoying piped water and

17% having piped water inside their yards. Almost a quarter relies on dams, rivers, streams,

or springs, while only 8,000 rely on a water-carrier, tanker or water vendor for their water

requirements.

Although the number of households having water piped into their dwelling or yard has

increased since 1995, 38% still have to get their water from a community stand (regardless

of distance from the dwelling) and a further 29% rely on a natural supply - including dams,

streams, boreholes and rainwater.

2006 2007 2008 2009


Proportion of houses with piped water inside dwelling (%)

% Change (y/y)

Definition

The relevant basic service levels (RDP service levels) are defined as a minimum quantity of 25 litres of potable water per person per day within 200 meters of a

household not interrupted for more than seven days in any year and a minimum flow of 10 litres per year for communal water points. This is a substantially higher

standard than the basic services defined by MDGs as 20 litres of potable water per person per day within 1 000 metres of a household.



PAGE 31


0.00 5.00 10.00 15.00 20.00 25.00 30.00

Piped water inside dwelling

Piped water inside yard

Piped water on community stand: distance less than 200m. from dwelling

Piped water on community stand: distance greater than 200m. from dwell

Borehole/rain-water tank/well

Dam/river/stream/spring

Water-carrier/tanker/Water vendor

Other/Unspecified/Dummy

Percentage of total (%)

-5.00

-4.00

-3.00

-2.00

-1.00

0.00

1.00

2.00

3.00

4.00

5.00

-

2.00

4.00

6.00

8.00

10.00

12.00

% C

han

ge (

y/y)

Pro

po

rtio

n o

f h

ou

seh

old

s w

ith

pip

ed

wat

er

insi

de

th

e d

we

llin

g (%

)

WATER RATIO % CHANGE IN WATER RATIO (Y/Y)

94 954 95 505 95 980 97 597 99 644

19.36 19.88 20.40 20.84 21.28

2.63 2.69 2.60 2.20 2.09

SANITATION


ACCESS TO SANITATIONSanitation service levels reflect those of water while flush toilets tend to be more closely

aligned to the establishment of formal housing. Therefore buckets are usually provided to

informal settlements as an interim measure until the establishment of a formal human

settlement.

In 2010 South Africa had 58% flush or chemical toilets, 26% pit latrines and 3% buckets. In

contrast, the Eastern Cape had only 39% flush or chemical toilets, 27% pit latrines and 4%

buckets.

Only 21% of households in the Joe Gqabi district had flush or chemical toilets, 35% had pit

latrines and 6% had to rely on bucket latrines.

ACCESS TO SANITATION BY CATEGORY (2010)

2006 2007 2008 2009 2010


Proportion of households with a flush or chemical toilet (%)

% Change (y/y)

DefinitionA basic acceptable sanitation facility is defined as a ventilated improved pit latrine. Millennium Development Goal (Target 10): Halve by 2015 the proportion of

people without sustainable access to improved sanitation.




PAGE 32

0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00

Flush or chemical toilet

Pit latrine

Bucket latrine

None of the above

Unspecified/Dummy


0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

-

5.00

10.00

15.00

20.00

25.00

% C

han

ge (

y/y)

Pro

po

rtio

n o

f h

ou

seh

old

s w

ith

a f

lush

or

che

mic

al t

oile

t (%

)

SAN RATIO % CHANGE IN SAN RATIO (Y/Y)

94 954 95 505 95 980 97 597 99 644

17.18 17.06 16.96 16.89 16.83

-0.75 -0.67 -0.58 -0.46 -0.33

REFUSE


ACCESS TO REFUSE REMOVALRefuse removal is essential for safe and healthy living conditions. This is especially true in

urban areas. There are also many households that have provided for their own refuse

removal or use a communal refuse dump.

Although there has been an improvement in service in South Africa 7% of households still do

not have access to rubbish disposal services. In the Eastern Cape there are still 13% of

households that do not have access to rubbish disposal services. However, the proportion of

households that dispose of their own refuse is declining.

In the Joe Gqabi area, service delivery levels have improved even though they are low

measured against national and provincial standards. The proportion of households without

rubbish disposal has decreased from 20% in 1995 to 17% in 2010. However, the majority of

households still rely on their own refuse dumps.

ACCESS TO REFUSE REMOVAL BY CATEGORY (2010)

20102006 2007 2008 2009


Proportion of houses with no form of refuse removal (%)

% Change (y/y)

The availability of refuse removal services to the household, categorised according the nature and timing of the refuse removal service.Definition




PAGE 33

0.00 10.00 20.00 30.00 40.00 50.00 60.00

Unspecified / other

Removed by local authority at least once a week

Removed by local authority less often

Communal refuse dump

Own refuse dump

No rubbish disposal


-1.80

-1.60

-1.40

-1.20

-1.00

-0.80

-0.60

-0.40

-0.20

0.00

-

5.00

10.00

15.00

20.00

25.00

% C

han

ge (

y/y)

Pro

po

rtio

n o

f h

ou

seh

old

s w

ith

no

fo

rm o

f re

fuse

re

mo

val (

%)

REFUSE RATIO % CHANGE IN REFUSE RATIO (Y/Y)

94 954 95 505 95 980 97 597 99 644

52.10 53.89 55.68 57.49 59.32

3.59 3.44 3.31 3.26 3.18

LIGHTING


ENERGY FOR LIGHTINGEveryone needs energy for cooking and for warmth during cold spells. Electricity is an

important source of energy in that it is safe and the easiest source to use. Although there

are efforts to provide electricity universally, there are still shortfalls. Nevertheless, it is

encouraging to see the proportion of households that use electricity.

Electricity usage in South Africa increased from about 60% in 1995 to over 80% in 2010. This

percentage is not as high in the Eastern Cape although electricity usage increased from

about 35% in 1995 to over 68.6% in 2010. Many households are still reliant on paraffin and

even candles.

In the Joe Gqabi district, the proportion of households with access to electricity is lower than

in the Eastern Cape, although proportion increased from just over one-third in 1995 to 60%

in 2010. The number of households that rely on paraffin has halved from 27 to 14%.

ENERGY FOR LIGHTING BY CATEGORY (2010)

2006 2007 2008 2009 2010


% Change (y/y)

Proportion of electrified households (%)

Definition The source of lighting in a household, categorised by type. The lighting ratio refers to the number of households which derive lighting from electricity.




PAGE 34

0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00

Solar/other/unspecified

Electricity

Gas

Paraffin

Candles


0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

-

10.00

20.00

30.00

40.00

50.00

60.00

70.00

% C

han

ge (

y/y)

Pro

po

rtio

n o

f h

ou

seh

old

s n

ot

usi

ng

ele

ctri

city

as

a so

urc

e o

f lig

hti

ng

(%)

LIGHT RATIO % CHANGE IN LIGHT RATIO (Y/Y)

94 954 95 505 95 980 97 597 99 644

6.36 6.27 6.17 6.03 5.87

-1.63 -1.49 -1.52 -2.29 -2.65

HOUSING


ACCESS TO HOUSING Despite the delivery of 2.5 million houses in South Africa since 1994, the backlog of houses

has increased considerably and is worse in urban areas because of migration from rural

areas. In 2010 informal structures in Joe Gqabi comprised 8% of total dwellings as opposed

to 1995 when informal structures made up 10% of housing units.

On average, 46% of housing units in the district are formal houses or brick structures on

separate stands, as opposed to 58% in South Africa and 46% in the Eastern Cape. The

number of brick structures has increased by 1.6% pa since 2005 compared to 1.6% in South

Africa and 2.2% in the Eastern Cape. Traditional dwellings make up 38% of the total housing

units and have been growing at 2.5% pa for the past five years. On average, 6% of the Joe

Gqabi district’s housing units are flats. This is compared to 5% of the province’s housing

units and 5% of South Africa’s housing units. There has been a 2.8% pa growth in the

number of flats since 2005 in the district.

ACCESS TO HOUSING BY CATEGORY (2010)

2006 2007 2008 2009 2010


% Change (y/y)

Proportion of dwelling which are classified as informal (%)

Definition

The total number of dwellings of any kind, categorised by type of dwelling. The population to dwelling ratio gives an indication of the number of people per

dwelling, which represents a measure of the burden on housing services.

The dwelling ratio gives an indication of the households that live in informal dwellings or shacks in an informal settlement or backyard.




PAGE 35

0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00 45.00 50.00

House or brick structure on a separate stand or yard

Traditional dwelling/hut/structure made of traditional materials

Flat in a block of flats

Town/cluster/semi-detached house (simplex, duplex or triplex)

House/flat/room, in backyard

Informal dwelling/shack, in backyard

Informal dwelling/shack, NOT in backyard, e.g. in an informal/squatter settlement

Room/flatlet not in backyard but on a shared property

Other/unspecified/NA


-3.00

-2.50

-2.00

-1.50

-1.00

-0.50

0.00

0.50

1.00

1.50

5.20

5.40

5.60

5.80

6.00

6.20

6.40

6.60

6.80

7.00

7.20

% C

han

ge (

y/y)

Pro

po

rtio

n o

f in

form

al d

we

llin

gs (

%)

DWEL RATIO % CHANGE IN DWEL RATIO (Y/Y)

94 954 95 505 95 980 97 597 99 644

31.30 34.85 38.70 42.76 46.98

11.44 11.35 11.05 10.50 9.86

TELEPHONE


Modern communication technology plays a critical role in both the economic and social lives

of a region’s citizens. A well-established telecommunications network can improve both the

competiveness and efficiency of local business, while it also encourages the development of

new business ventures. Telecommunications also improve the ability of people to find

employment.

In 2010 there was one phone (either a private telephone or one nearby) per 3.27 people in

the Joe Gqabi area. The number of telephones in the area has increased from 74,000 in 1995

to 100,000 in 2010. However mobile phones are more common as many people do not have

access to fixed landlines.

ACCESS TO TELEPHONE

ACCESS TO TELEPHONE BY CATEGORY (2010)

2006 2007 2008 2009 2010


% Change (y/y)

Proportion of households with a phone in the dwelling and/or cellular phone (%)

Definition

The number of households with access to a telephone, categorised by the relative location of the telephone. The population to telephone ratio gives an indication

of the number of people per telephone, which represents a measure of the burden on telephone services.

The phone ratio refers to the proportion of households with a phone inside the dwelling and/or cellular phone.




PAGE 36

- 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00 45.00 50.00

In this dwelling and/or cellular phone

At a public telephone nearby

At a neighbour nearby

At another location, not nearby

At another location nearby

NA (institution)/unspecified/none


0.00

2.00

4.00

6.00

8.00

10.00

12.00

14.00

16.00

18.00

-

5.00

10.00

15.00

20.00

25.00

30.00

35.00

40.00

45.00

50.00

% C

han

ge (

y/y)

Pro

po

rtio

n o

f h

ou

seh

old

s w

ith

a p

ho

ne

in t

he

d

we

llin

g an

d/o

r ce

llula

r p

ho

ne

(%

)

PHONE RATIO % CHANGE IN PHONE RATIO (Y/Y)

HEALTH

While the number of new infections continues to rise in many parts of the Eastern Cape, a review of

progress with the response to HIV/AIDS in the Eastern Cape shows that the province has made a

number of significant inroads in response within the fields of treatment and prevention. The review

however showed that the province is lagging behind in the fields of human rights and support to

orphans and vulnerable children (OVC).

The Eastern Cape government has developed a Provincial Strategic Plan on HIV/AIDS, STIs and TB (2012-

2016). The strategy is results-based and aims to generate unity of purpose among all sectors of society

and work towards the achievements of quantified targets.

The goals of the strategy are to:

1) Reduce HIV incidence in the EC by 50%.

2) Reduce TB incidence by 50% and STI incidence by 50%.

3) Initiate at least 80% of eligible patients on antiretroviral treatment, with 70% alive and on treatment

five years after initiation.

4) Reduce the number of new TB infections, as well as the number of TB deaths, by 50%.

5) Reduce self-reported stigma related to HIV and TB by at least 50% from the baseline study in 2012.

PAGE 37


32 037 32 938 33 665 34 678 35 676

3.24 2.81 2.21 3.01 2.88

1 982 2 088 2 167 2 265 2 326

36.29 37.62 38.65 39.72 40.33

HIV/AIDS

HEALTH

HIV INFECTIONSSouth Africa faces one of the highest HIV-prevalence rates in the world and is home to the

world's largest population of people living with HIV. In 2010 there were an estimated 6.3

million people infected with AIDS, representing over 12.5% of the South African population.

However, the proportion of infected people is lower in the Eastern Cape (11.6% of the

population) and the Joe Gqabi district (10.9% of the population). The Eastern Cape

accounted for 12.4% of South Africa’s HIV-positive people while the district accounted for

0.6%.

In South Africa the number of HIV-positive people has risen, but at a declining rate. The

number of new infections peaked in 1999 with 676,000 people. From 1995 to 2005 the

increase in the number of new infections was 1.2% pa, but this declined to -0.5% pa from

2005 to 2010. New infections in the Eastern Cape increased by 2.9% pa from 1995 to 2005

and 0.5% from 2005 to 2010 and the number of new infections in the Eastern Cape peaked

in 2002 at 77,000 people. In the district the corresponding figures are 1.1% for the 1995 to

2005 period and 1.2% from 2005 to 2010. The table below shows the estimated number of

new infections

The HIV/AIDS pandemic has a negative economic impact on society, but especially on

patients and their families through spending on diagnosis and treatment, transport to get to

healthcare facilities, and the time lost from work. Households tend to incur much higher

direct costs for treatment than for any other disease. The pervasiveness of this disease has

resulted in lower life expectancy and a generally lower standard of living (see section on the

HDI). At the beginning of 2011 it was estimated that 1.2 million South Africans were

receiving antiretroviral treatment through the public sector treatment programme.

However, while South Africa now has the largest HIV treatment programme in the world,

less that 60% of South Africans requiring treatment are covered because of capacity and

infrastructure constraints.

AIDS-RELATED DEATHS

Quantec*

% Change (y/y)

2006 2007 2008 2009 2010

Number of new cases of HIV/AIDS

Number of AIDS-related deaths

Ratio of AIDS-related deaths to total deaths

DefinitionThe estimated number of people who have been infected with the Human Immunodeficiency Virus (HIV) that causes Acquired Immunodeficiency Syndrome (AIDS)

or the number of people who have died from AIDS-related deaths.

Data source



PAGE 38

0.00

2.00

4.00

6.00

8.00

10.00

12.00

14.00

16.00

18.00

20.00

-

5 000

10 000

15 000

20 000

25 000

30 000

35 000

40 000

% C

han

ge (

y/y)

Nu

mb

er

of

pe

op

le w

ith

HIV

HIV % CHANGE IN HIV (Y/Y)

0.00

5.00

10.00

15.00

20.00

25.00

30.00

35.00

40.00

45.00

-

500

1 000

1 500

2 000

2 500

% C

han

ge (

y/y)

A

IDS

to t

ota

l de

ath

s ra

tio

(%

)

Nu

mb

er

of

AID

S re

late

d d

eat

hs

AIDS-RELATED DEATHS

% CHANGE IN AIDS-RELATED DEATHS (Y/Y)

AIDS/DEATH RATIO

2 005 2 851 2 880 2 939

42.19 1.02 2.05

TUBERCULOSIS (TB)

HEALTH

TUBERCULOSIS (TB)

The country is also struggling with tuberculosis (TB), maternal and child mortality, non-communicable diseases, and violence, injuries and trauma. South Africa is ranked fifth by

the WHO on the list of 22 countries in the world with a high burden of TB, with the prevalence of TB now being closely associated with HIV. The TB situation has been aggravated

by the emergence of new drug-resistant strains.

In 2010 there were just over 400,000 people suffering from TB in South Africa. Fifteen per cent or just over 62,000 lived in the Eastern Cape and 3000 (0.7%) live in the district.

The infection rate is growing by 4.3% pa in South Africa, but it is higher in the Eastern Cape (4.5% pa) and considerably higher in the Joe Gqabi district (13.6% pa).

20102006 2007 2008 2009

Number of new cases of tuberculosis (all TB)

% Change (y/y)

Definition The estimated number of people who have been infected with tuberculosis bacterium.

Data source HST



PAGE 39

-

500

1 000

1 500

2 000

2 500

3 000

3 500

Nu

mb

er

of

pe

op

le w

ith

TB

TUBERCULOSIS (TB)

JOE GQABI

2000 2005 2010 Trend *

ECONOMIC GROWTH AND TRANSFORMATION - -

Regional Gross Domestic Product (GDP-R) Rm, 2005 3 080 3 828 5 108 5.94 5.19

Regional Gross Domestic Product (GDP-R) per Capita R, 2005 492 612 816 5.94 5.19

Gross Value Added (GVA) Rm, 2005 2 740 3 414 4 567 5.99 5.24

Gross Operating Surplus (GOS) Rm, 2005 1 018 1 379 2 152 9.30 7.77

Total Output Rm, 2005 5 203 7 220 10 173 7.10 6.94

Intermediate Consumption Rm, 2005 2 463 3 806 5 606 8.05 8.57

Tress Index for 10 Industries Index 49.90 48.50 51.10 1.05 0.24

Tress Index for 23 Industries Index 79.70 77.10 76.40 -0.18 -0.42 DEMOGRAPHICS

Population Number 347 811 342 887 326 072 -1.00 -0.64

Number of Households Number 85 636 94 243 99 644 1.12 1.53 POVERTY AND INCOME

Human Development Index (HDI) Index 0.50 0.49 0.50 0.16 -0.08

Gini Coefficient Coefficient 0.65 0.63 0.61 -0.69 -0.61

Number of People in Poverty Number 252 398 214 373 169 787 -4.56 -3.89

Poverty rate % 72.57 62.52 52.07 -3.59 -3.26

No Schooling: Persons Aged 15+ Years Number 42 483 36 019 28 141 -4.82 -4.04

Illiteracy: Persons Aged 20+ Years Number 79 414 76 010 71 033 -1.35 -1.11

Population Density Persons per km² 13.54 13.35 12.69 -1.00 -0.64

Total Household Disposable Income Rm, 2004 2 740 3 319 4 291 5.27 4.59

Total Household Expenditure Rm, 2005 2 693 3 289 4 188 4.95 4.51 LABOUR MARKET

Economically Active Population (EAP) Number 95 944 90 428 75 805 -3.47 -2.33

Labour Force Participation Rate Rate (%) 53.52 48.45 40.35 -3.60 -2.79

Number of Unemployed Number 26 014 25 044 18 900 -5.47 -3.14

Rate of Unemployment Rate (%) 27.11 27.69 24.93 -2.08 -0.84

Number of Formally Employed Number 55 813 51 433 43 370 -3.35 -2.49

Number of Informally Employed Number 14 116 13 951 13 534 -0.60 -0.42

Total Number of Employed Number 69 929 65 384 56 905 -2.74 -2.04

Employment Rate Rate (%) 72.89 72.31 75.07 0.75 0.30 CRIME *

Number of Cases of Murder Number - 642 548 -3.14 -

Number of Cases of Sexual Crimes Number - 1 671 1 640 -0.37 -

Number of Cases of Common Robbery Number - 1 411 786 -11.05 -

Number of Cases of Drug-related Crimes Number - 2 745 3 592 5.53 -

Number of Cases of Driving Under the Influence of Alcohol Number - 571 1 122 14.49 - INFRASTRUCTURE AND SERVICES

Proportion of Houses With Piped Water Inside Dwelling Ratio (%) 8.32 9.10 10.92 3.71 2.76

Proportion of Households With a Flush or Chemical Toilet Ratio (%) 16.22 18.86 21.28 2.44 2.76

Proportion of Houses With No Form of Refuse Removal Ratio (%) 18.20 17.31 16.83 -0.56 -0.78

Proportion of Electrified Households Ratio (%) 40.41 50.29 59.32 3.36 3.91

Proportion of Dwellings Which are Classified as Informal Ratio (%) 6.89 6.47 5.87 -1.92 -1.60

Proportion of Households With a Phone in the Dwelling and/or Cellular Phone Ratio (%) 16.09 28.09 46.98 10.84 11.31 HEALTH

Number of New Cases of HIV Number 20 047 31 031 35 676 2.83 5.93

Number of AIDS Related Deaths Number 815 1 860 2 326 4.57 11.06

AIDS Related Deaths as a Proportion of All Deaths Rate (%) 18.95 34.83 40.33 2.97 7.84

Number of New Cases of Tuberculosis (All TB) * Number - - 2 939 - -

* Notes:1. Crime data only available from 2004 onwards. Crime trend graphs from 2004 onwards.2. Trend graphs show trend for the last 10 years.3. TB data only available from 2007 onwards. Trend graph from TB from 2007 onwards.

- -

DEVELOPMENT INDICATORS

Ave. Growth Rate (5-Year)


- -

- -

- -

- -

- -

JOE GQABI1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

ECONOMIC GROWTH AND TRANSFORMATION -Regional Gross Domestic Product (GDP-R) Rm, 2005 2 476 2 627 2 743 2 785 2 937 3 080 3 379 3 324 3 481 3 641 3 828 4 180 4 533 4 913 5 001 5 108Regional Gross Domestic Product (GDP-R) per Capita R, 2005 395 420 438 445 469 492 540 531 556 582 612 668 724 785 799 816Gross Value Added (GVA) Rm, 2005 2 188 2 320 2 422 2 464 2 606 2 740 3 010 2 964 3 105 3 246 3 414 3 725 4 041 4 386 4 473 4 567Gross Operating Surplus (GOS) Rm, 2005 746 814 853 855 928 1 018 1 180 1 160 1 227 1 293 1 379 1 584 1 795 2 025 2 059 2 152Total Output Rm, 2005 3 797 3 920 4 174 4 371 4 755 5 203 5 922 5 979 6 432 6 806 7 220 8 018 8 768 9 488 9 863 10 173Intermediate Consumption Rm, 2005 1 610 1 601 1 753 1 907 2 149 2 463 2 912 3 015 3 327 3 560 3 806 4 292 4 727 5 102 5 390 5 606Tress Index for 10 Industries Index 48.60 49.30 49.30 49.40 49.50 49.90 48.00 48.30 47.70 47.60 48.50 48.10 48.80 50.20 51.10 51.10Tress Index for 23 Industries Index 79.20 79.50 79.50 79.60 79.80 79.70 78.90 78.60 77.90 77.40 77.10 76.70 76.30 76.50 76.50 76.40

DEMOGRAPHICSPopulation Number 337 416 343 356 345 613 347 150 347 862 347 811 347 218 348 380 347 826 346 035 342 887 338 384 333 401 328 185 326 602 326 072Number of Households Number 73 899 76 934 79 266 81 524 83 654 85 636 87 489 89 783 91 628 93 130 94 243 94 954 95 505 95 980 97 597 99 644

POVERTY AND INCOMEHuman Development Index (HDI) Index 0.52 0.52 0.52 0.51 0.51 0.50 0.49 0.50 0.49 0.49 0.49 0.49 0.50 0.50 0.50 0.50Gini Coefficient Coefficient 0.66 0.66 0.66 0.65 0.65 0.65 0.64 0.64 0.64 0.63 0.63 0.63 0.62 0.62 0.61 0.61Number of People in Poverty Number 273 328 258 727 268 302 263 636 258 306 252 398 242 381 239 650 231 999 223 573 214 373 204 486 179 900 184 605 176 888 169 787Poverty rate % 81.01 75.35 77.63 75.94 74.26 72.57 69.81 68.79 66.70 64.61 62.52 60.43 53.96 56.25 54.16 52.07No Schooling: Persons Aged 15+ Years Number 41 859 42 512 42 611 42 668 42 636 42 483 42 244 40 968 39 431 37 772 36 019 34 213 32 445 30 762 29 402 28 141Illiteracy: Persons Aged 20+ Years Number 78 481 79 882 79 978 79 950 79 758 79 414 79 024 78 947 78 302 77 312 76 010 74 581 73 232 71 969 71 414 71 033Population Density Persons per km² 13.13 13.37 13.45 13.51 13.54 13.54 13.52 13.56 13.54 13.47 13.35 13.17 12.98 12.78 12.71 12.69Total Household Disposable Income Rm, 2004 1 975 2 162 2 306 2 386 2 533 2 740 2 856 2 983 3 028 3 160 3 319 3 546 3 842 4 053 4 072 4 291Total Household Expenditure Rm, 2005 1 940 2 117 2 252 2 344 2 491 2 693 2 822 2 932 2 984 3 124 3 289 3 546 3 835 4 017 4 013 4 188

LABOUR MARKETEconomically Active Population (EAP) Number 83 643 87 325 89 923 92 302 94 321 95 944 97 448 96 882 94 577 91 707 90 428 89 427 86 038 82 725 78 468 75 805Labour Force Participation Rate Rate (%) 49.70 50.49 51.60 52.47 53.08 53.52 53.96 52.72 50.96 49.16 48.45 48.13 46.52 44.92 42.25 40.35Number of Unemployed Number 24 112 24 823 24 878 25 118 25 516 26 014 26 367 26 803 26 476 26 069 25 044 23 696 21 944 20 110 18 773 18 900Rate of Unemployment Rate (%) 28.83 28.43 27.67 27.21 27.05 27.11 27.06 27.67 27.99 28.43 27.69 26.50 25.50 24.31 23.92 24.93Number of Formally Employed Number 50 115 51 090 52 748 54 099 55 098 55 813 57 331 56 418 55 070 52 422 51 433 49 934 48 890 48 039 45 270 43 370Number of Informally Employed Number 9 416 11 412 12 297 13 085 13 707 14 116 13 749 13 661 13 030 13 216 13 951 15 798 15 204 14 576 14 425 13 534Total Number of Employed Number 59 531 62 502 65 045 67 184 68 805 69 929 71 080 70 079 68 100 65 638 65 384 65 731 64 094 62 615 59 695 56 905Employment Rate Rate (%) 71.17 71.57 72.33 72.79 72.95 72.89 72.94 72.33 72.01 71.57 72.31 73.50 74.50 75.69 76.08 75.07

CRIME Number of Cases of Murder Number - - - - - - - - - 650.18 642.46 689.21 643.27 636.18 572.06 547.62Number of Cases of Sexual Crimes Number - - - - - - - - - 1 587.15 1 671.06 1 620.57 1 522.65 1 631.89 1 599.02 1 640.48Number of Cases of Common Robbery Number - - - - - - - - - 1 627.05 1 411.45 1 414.72 1 101.26 1 104.27 952.46 786.15Number of Cases of Drug-related Crimes Number - - - - - - - - - 2 130.81 2 745.06 3 128.24 2 969.38 2 799.08 2 874.76 3 592.42Number of Cases of Driving Under the Influence of Alcohol Number - - - - - - - - - 444.13 570.54 970.61 1 651.56 1 226.42 1 571.90 1 122.33

INFRASTRUCTURE AND SERVICESProportion of Houses With Piped Water Inside Dwelling Ratio (%) 9.21 9.06 8.90 8.74 8.55 8.32 8.02 8.27 8.52 8.80 9.10 9.44 9.81 10.20 10.56 10.92Proportion of Households With a Flush or Chemical Toilet Ratio (%) 12.91 13.35 13.89 14.53 15.30 16.22 17.32 17.63 17.99 18.41 18.86 19.36 19.88 20.40 20.84 21.28Proportion of Houses With No Form of Refuse Removal Ratio (%) 20.00 19.59 19.19 18.82 18.48 18.20 17.97 17.78 17.61 17.45 17.31 17.18 17.06 16.96 16.89 16.83Proportion of Electrified Households Ratio (%) 28.52 30.76 33.10 35.52 37.97 40.41 42.81 44.73 46.61 48.47 50.29 52.10 53.89 55.68 57.49 59.32Proportion of Dwellings Which are Classified as Informal Ratio (%) 6.51 6.58 6.66 6.74 6.82 6.89 6.95 6.83 6.71 6.58 6.47 6.36 6.27 6.17 6.03 5.87Proportion of Households With a Phone in the Dwelling and/or Cellular Phone Ratio (%) 9.57 10.34 11.30 12.52 14.08 16.09 18.67 20.55 22.73 25.23 28.09 31.30 34.85 38.70 42.76 46.98HEALTHNumber of New Cases of HIV Number 4 428 7 049 10 115 13 484 16 892 20 047 22 821 25 671 27 942 29 698 31 031 32 037 32 938 33 665 34 678 35 676Number of AIDS Related Deaths Number 132 200 305 441 612 815 1 042 1 295 1 549 1 735 1 860 1 982 2 088 2 167 2 265 2 326AIDS Related Deaths as a Proportion of All Deaths Rate (%) 3.66 5.38 7.81 10.79 14.40 18.95 23.42 27.41 30.98 33.35 34.83 36.29 37.62 38.65 39.72 40.33Number of New Cases of Tuberculosis (All TB) Number - - - - - - - - - - - - 2 005 2 851 2 880 2 939

* Notes:

1. Crime data only available from 2004 onwards.2. TB data only available from 2007 onwards.


ELUNDINI LOCAL MUNICIPALITY

2000 2005 2010 Trend *


Regional Gross Domestic Product (GDP-R) Rm, 2005 800 1 213 1 958 10.06 9.36


Gross Value Added (GVA) Rm, 2005 712 1 081 1 751 10.12 9.42

Gross Operating Surplus (GOS) Rm, 2005 253 433 833 13.99 12.66

Total Output Rm, 2005 1 292 2 284 4 071 12.26 12.16

Intermediate Consumption Rm, 2005 580 1 202 2 320 14.05 14.87

Tress Index for 10 Industries Index 54.40 48.10 50.40 0.94 -0.76

Tress Index for 23 Industries Index 83.10 78.40 76.40 -0.52 -0.84 DEMOGRAPHICS



Gini Coefficient Coefficient 0.58 0.58 0.58 0.04 0.03


Poverty rate % 73.26 69.33 67.87 -0.42 -0.76




Total Household Disposable Income Rm, 2004 816 1 274 1 993 9.36 9.34

Total Household Expenditure Rm, 2005 805 1 263 1 886 8.35 8.89 LABOUR MARKET





Number of Formally Employed Number 15 072 16 459 17 111 0.78 1.28

Number of Informally Employed Number 3 698 4 550 5 549 4.05 4.14

Total Number of Employed Number 18 771 21 009 22 660 1.52 1.90



Number of Cases of Sexual Crimes Number - 292 323 2.03 -

Number of Cases of Common Robbery Number - 215 131 -9.41 -

Number of Cases of Drug-related Crimes Number - 333 418 4.61 -

Number of Cases of Driving Under the Influence of Alcohol Number - 170 362 16.26 - INFRASTRUCTURE AND SERVICES

Proportion of Houses With Piped Water Inside Dwelling Ratio (%) 3.20 2.73 2.12 -4.95 -4.05

Proportion of Households With a Flush or Chemical Toilet Ratio (%) 7.46 7.42 6.76 -1.84 -0.98

Proportion of Houses With No Form of Refuse Removal Ratio (%) 24.89 21.19 17.59 -3.65 -3.41



Proportion of Households With a Phone in the Dwelling and/or Cellular Phone Ratio (%) 10.52 24.75 48.88 14.58 16.60

* Notes:1. Crime data only available from 2004 onwards. Crime trend graphs from 2004 onwards.2. Trend graphs show trend for the last 10 years.

- -




- -

- -

- -

- -

ELUNDINI LOCAL MUNICIPALITY1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

ECONOMIC GROWTH AND TRANSFORMATION -Regional Gross Domestic Product (GDP-R) Rm, 2005 649 685 707 713 754 800 882 894 986 1 085 1 213 1 382 1 581 1 793 1 917 1 958Regional Gross Domestic Product (GDP-R) per Capita R, 2005 104 109 113 114 120 128 141 143 157 173 194 221 253 286 306 313Gross Value Added (GVA) Rm, 2005 574 605 625 631 669 712 786 798 879 967 1 081 1 232 1 409 1 600 1 715 1 751Gross Operating Surplus (GOS) Rm, 2005 181 196 202 203 224 253 292 298 336 376 433 518 625 737 797 833Total Output Rm, 2005 973 1 005 1 048 1 077 1 170 1 292 1 482 1 565 1 779 2 000 2 284 2 692 3 118 3 591 3 941 4 071Intermediate Consumption Rm, 2005 400 400 424 447 502 580 696 768 900 1 033 1 202 1 460 1 708 1 991 2 226 2 320Tress Index for 10 Industries Index 55.60 55.60 55.00 55.00 54.70 54.40 51.60 51.20 49.40 48.20 48.10 48.10 49.10 50.10 50.40 50.40Tress Index for 23 Industries Index 83.30 83.50 83.30 83.30 83.30 83.10 82.00 81.30 80.20 79.20 78.40 77.60 77.00 76.90 76.50 76.40


POVERTY AND INCOMEGini Coefficient Coefficient 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58 0.58Number of People in Poverty Number 121 093 113 216 115 339 111 502 107 411 103 156 96 906 98 458 97 708 96 639 95 225 93 457 84 993 89 616 88 678 88 038Poverty rate % 87.11 80.33 81.57 78.80 76.03 73.26 69.11 70.20 69.91 69.62 69.33 69.03 63.82 68.45 68.16 67.87No Schooling: Persons Aged 15+ Years Number 16 824 17 106 17 178 17 246 17 298 17 327 17 349 16 566 15 711 14 832 13 938 13 051 12 200 11 408 10 785 10 226Illiteracy: Persons Aged 20+ Years Number 31 175 31 676 31 674 31 621 31 520 31 389 31 273 31 117 30 780 30 320 29 746 29 137 28 557 28 025 27 811 27 692Population Density Persons per km² 27.37 27.74 27.84 27.86 27.81 27.72 27.60 27.61 27.52 27.33 27.04 26.65 26.22 25.77 25.61 25.53Total Household Disposable Income Rm, 2004 620 666 701 716 752 816 874 947 1 019 1 133 1 274 1 454 1 651 1 809 1 865 1 993Total Household Expenditure Rm, 2005 613 655 687 707 743 805 865 931 1 004 1 120 1 263 1 450 1 634 1 751 1 794 1 886


CRIME Number of Cases of Murder Number - - - - - - - - - 70.81 82.30 80.60 60.83 52.86 56.81 56.04Number of Cases of Sexual Crimes Number - - - - - - - - - 310.89 291.70 296.60 265.23 288.03 287.05 322.61Number of Cases of Common Robbery Number - - - - - - - - - 339.51 215.36 198.51 144.85 156.93 154.07 131.40Number of Cases of Drug-related Crimes Number - - - - - - - - - 282.40 333.47 406.69 381.44 316.96 378.01 417.79Number of Cases of Driving Under the Influence of Alcohol Number - - - - - - - - - 98.86 170.39 210.24 219.76 231.14 354.41 361.97

INFRASTRUCTURE AND SERVICESProportion of Houses With Piped Water Inside Dwelling Ratio (%) 3.31 3.31 3.30 3.28 3.25 3.20 3.13 3.01 2.91 2.82 2.73 2.64 2.55 2.44 2.29 2.12Proportion of Households With a Flush or Chemical Toilet Ratio (%) 5.13 5.41 5.77 6.21 6.76 7.46 8.33 8.04 7.79 7.59 7.42 7.29 7.18 7.08 6.92 6.76Proportion of Houses With No Form of Refuse Removal Ratio (%) 29.43 28.50 27.58 26.67 25.77 24.89 24.02 23.33 22.62 21.90 21.19 20.46 19.74 19.01 18.30 17.59Proportion of Electrified Households Ratio (%) 7.02 7.61 8.26 8.96 9.72 10.53 11.41 12.59 13.91 15.36 16.96 18.71 20.59 22.60 24.70 26.93Proportion of Dwellings Which are Classified as Informal Ratio (%) 1.85 1.85 1.85 1.84 1.84 1.83 1.83 1.74 1.66 1.58 1.50 1.43 1.36 1.29 1.23 1.17Proportion of Households With a Phone in the Dwelling and/or Cellular Phone Ratio (%) 4.22 4.86 5.70 6.85 8.42 10.52 13.31 15.50 18.12 21.20 24.75 28.80 33.32 38.24 43.45 48.88

* Notes:

1. Crime data only available from 2004 onwards.


GARIEP LOCAL MUNICIPALITY

2000 2005 2010 Trend *


Regional Gross Domestic Product (GDP-R) Rm, 2005 437 462 568 4.20 2.66


Gross Value Added (GVA) Rm, 2005 389 412 508 4.26 2.71


Total Output Rm, 2005 785 895 1 110 4.41 3.52

Intermediate Consumption Rm, 2005 396 482 602 4.53 4.27


Tress Index for 23 Industries Index 80.90 79.30 80.70 0.35 -0.02 DEMOGRAPHICS





Poverty rate % 67.17 48.30 23.25 -13.61 -10.07




Total Household Disposable Income Rm, 2004 337 317 312 -0.35 -0.77

Total Household Expenditure Rm, 2005 335 317 331 0.87 -0.11 LABOUR MARKET



Number of Unemployed Number 1 567 2 176 1 791 -3.82 1.35

Rate of Unemployment Rate (%) 10.67 17.63 20.45 3.02 6.72




Employment Rate Rate (%) 89.33 82.37 79.55 -0.70 -1.15 CRIME *

Number of Cases of Murder Number - 86 108 4.75 -

Number of Cases of Sexual Crimes Number - 174 169 -0.61 -


Number of Cases of Drug-related Crimes Number - 116 138 3.62 -




Proportion of Houses With No Form of Refuse Removal Ratio (%) 4.73 3.72 4.41 3.46 -0.69



Proportion of Households With a Phone in the Dwelling and/or Cellular Phone Ratio (%) 33.04 34.81 34.68 -0.07 0.49


- -




- -

- -

- -

- -

GARIEP LOCAL MUNICIPALITY1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

ECONOMIC GROWTH AND TRANSFORMATION -Regional Gross Domestic Product (GDP-R) Rm, 2005 422 429 436 428 437 437 479 454 458 463 462 500 526 562 557 568Regional Gross Domestic Product (GDP-R) per Capita R, 2005 67 69 70 68 70 70 77 73 73 74 74 80 84 90 89 91Gross Value Added (GVA) Rm, 2005 373 379 385 378 388 389 427 405 408 413 412 446 469 501 498 508Gross Operating Surplus (GOS) Rm, 2005 144 153 156 149 155 160 188 174 174 175 172 195 209 233 227 237Total Output Rm, 2005 713 694 715 728 761 785 890 852 882 896 895 976 1 034 1 082 1 081 1 110Intermediate Consumption Rm, 2005 341 316 330 350 373 396 464 448 474 483 482 530 565 581 583 602Tress Index for 10 Industries Index 46.50 47.00 48.40 49.10 50.70 50.00 51.80 51.10 49.00 48.10 49.00 49.90 51.20 53.90 56.20 56.20Tress Index for 23 Industries Index 78.80 79.20 79.90 80.40 81.20 80.90 81.60 81.20 80.40 79.90 79.30 79.20 79.10 79.90 80.70 80.70


POVERTY AND INCOMEGini Coefficient Coefficient 0.66 0.66 0.66 0.66 0.65 0.65 0.65 0.65 0.64 0.64 0.64 0.63 0.63 0.63 0.62 0.62Number of People in Poverty Number 18 490 18 515 19 748 20 248 20 696 21 085 21 404 19 924 18 197 16 366 14 457 12 518 9 076 8 885 7 441 6 094Poverty rate % 61.30 60.20 63.65 64.83 66.00 67.17 68.28 63.34 58.32 53.31 48.30 43.29 32.64 33.27 28.26 23.25No Schooling: Persons Aged 15+ Years Number 5 040 5 051 4 989 4 914 4 821 4 707 4 580 4 495 4 347 4 160 3 935 3 679 3 419 3 168 2 989 2 832Illiteracy: Persons Aged 20+ Years Number 8 435 8 607 8 637 8 649 8 636 8 599 8 548 8 523 8 376 8 150 7 849 7 489 7 123 6 764 6 545 6 364Population Density Persons per km² 3.38 3.45 3.48 3.50 3.51 3.52 3.51 3.53 3.50 3.44 3.35 3.24 3.12 2.99 2.95 2.94Total Household Disposable Income Rm, 2004 285 301 311 312 323 337 337 338 325 321 317 317 317 313 309 312Total Household Expenditure Rm, 2005 281 296 306 309 320 335 337 336 324 320 317 318 323 328 324 331


CRIME Number of Cases of Murder Number - - - - - - - - - 74.94 85.59 80.67 85.99 75.40 79.24 107.95Number of Cases of Sexual Crimes Number - - - - - - - - - 106.26 173.83 142.45 152.89 144.46 166.14 168.61Number of Cases of Common Robbery Number - - - - - - - - - 95.21 105.07 109.57 116.18 82.37 73.38 61.20Number of Cases of Drug-related Crimes Number - - - - - - - - - 87.74 115.61 145.29 122.80 118.12 110.20 138.12Number of Cases of Driving Under the Influence of Alcohol Number - - - - - - - - - 10.02 8.47 13.20 17.07 24.39 44.01 34.68


* Notes:



MALETSWAI LOCAL MUNICIPALITY

2000 2005 2010 Trend *


Regional Gross Domestic Product (GDP-R) Rm, 2005 822 1 023 1 242 3.95 4.21


Gross Value Added (GVA) Rm, 2005 732 912 1 111 4.01 4.26


Total Output Rm, 2005 1 446 1 977 2 431 4.23 5.34


Tress Index for 10 Industries Index 50.30 49.30 50.20 0.36 -0.02


Population Number 37 446 40 552 43 836 1.57 1.59




Poverty rate % 63.16 48.76 28.71 -10.05 -7.58


Illiteracy: Persons Aged 20+ Years Number 8 365 8 707 9 130 0.95 0.88

Population Density Persons per km² 8.58 9.30 10.05 1.57 1.59

Total Household Disposable Income Rm, 2004 633 745 904 3.94 3.63

Total Household Expenditure Rm, 2005 629 746 896 3.75 3.60 LABOUR MARKET



Number of Unemployed Number 1 741 3 053 3 837 4.67 8.22

Rate of Unemployment Rate (%) 9.73 17.01 23.73 6.89 9.33




Employment Rate Rate (%) 90.27 82.99 76.27 -1.68 -1.67 CRIME *




Number of Cases of Drug-related Crimes Number - 1 390 1 641 3.38 -




Proportion of Houses With No Form of Refuse Removal Ratio (%) 10.34 11.45 11.68 0.39 1.23





- -




- -

- -

- -

- -

MALETSWAI LOCAL MUNICIPALITY1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

ECONOMIC GROWTH AND TRANSFORMATION -Regional Gross Domestic Product (GDP-R) Rm, 2005 614 663 703 725 771 822 910 893 933 975 1 023 1 092 1 165 1 224 1 213 1 242Regional Gross Domestic Product (GDP-R) per Capita R, 2005 98 106 112 116 123 131 145 143 149 156 163 175 186 196 194 198Gross Value Added (GVA) Rm, 2005 543 586 621 641 685 732 810 796 832 869 912 973 1 038 1 093 1 085 1 111Gross Operating Surplus (GOS) Rm, 2005 196 215 228 230 250 280 328 326 346 368 396 443 494 535 525 550Total Output Rm, 2005 954 1 006 1 095 1 168 1 288 1 446 1 662 1 674 1 796 1 883 1 977 2 126 2 273 2 355 2 355 2 431Intermediate Consumption Rm, 2005 411 420 474 527 604 714 851 878 964 1 013 1 064 1 152 1 234 1 262 1 271 1 321Tress Index for 10 Industries Index 48.60 49.50 49.50 49.60 49.60 50.30 48.50 49.20 48.40 48.60 49.30 48.60 48.80 49.30 50.30 50.20Tress Index for 23 Industries Index 77.70 78.00 78.00 78.10 78.30 78.10 77.30 77.20 76.70 76.50 76.50 76.10 75.80 76.00 76.60 76.50


POVERTY AND INCOMEGini Coefficient Coefficient 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.65 0.65 0.65 0.65 0.65 0.65 0.65 0.64 0.64Number of People in Poverty Number 18 146 17 926 20 393 21 513 22 618 23 651 24 174 23 454 22 238 21 013 19 773 18 502 17 454 15 824 14 253 12 586Poverty rate % 54.99 52.53 58.26 59.89 61.53 63.16 63.70 60.79 56.78 52.77 48.76 44.75 41.32 36.73 32.72 28.71No Schooling: Persons Aged 15+ Years Number 4 049 4 157 4 229 4 309 4 383 4 440 4 479 4 422 4 354 4 291 4 235 4 185 4 143 4 091 3 982 3 847Illiteracy: Persons Aged 20+ Years Number 7 556 7 804 7 953 8 112 8 254 8 365 8 447 8 514 8 564 8 624 8 707 8 820 8 977 9 128 9 159 9 130Population Density Persons per km² 7.57 7.82 8.03 8.24 8.43 8.58 8.70 8.85 8.98 9.13 9.30 9.48 9.69 9.88 9.99 10.05Total Household Disposable Income Rm, 2004 418 470 508 538 581 633 663 691 697 722 745 780 838 868 856 904Total Household Expenditure Rm, 2005 412 462 499 532 575 629 663 688 696 722 746 792 848 877 857 896


CRIME Number of Cases of Murder Number - - - - - - - - - 272.74 255.04 286.66 282.17 293.90 235.57 220.32Number of Cases of Sexual Crimes Number - - - - - - - - - 639.86 654.05 631.21 601.64 667.37 632.07 633.00Number of Cases of Common Robbery Number - - - - - - - - - 680.03 604.67 558.44 463.35 466.58 386.15 325.67Number of Cases of Drug-related Crimes Number - - - - - - - - - 1 046.57 1 390.08 1 677.47 1 582.76 1 353.23 1 204.49 1 641.13Number of Cases of Driving Under the Influence of Alcohol Number - - - - - - - - - 167.21 163.21 274.65 413.04 356.32 431.17 331.24


* Notes:



SENQU LOCAL MUNICIPALITY

2000 2005 2010 Trend *


Regional Gross Domestic Product (GDP-R) Rm, 2005 1 020 1 130 1 340 3.46 2.76


Gross Value Added (GVA) Rm, 2005 908 1 008 1 198 3.51 2.81


Total Output Rm, 2005 1 680 2 065 2 561 4.40 4.31






Gini Coefficient Coefficient 0.61 0.65 0.71 1.66 1.54


Poverty rate % 75.61 63.36 50.54 -4.42 -3.95




Total Household Disposable Income Rm, 2004 954 983 1 083 1.95 1.28

Total Household Expenditure Rm, 2005 925 963 1 074 2.21 1.51 LABOUR MARKET












Number of Cases of Drug-related Crimes Number - 906 1 395 9.02 -



Proportion of Households With a Flush or Chemical Toilet Ratio (%) 9.93 10.72 10.69 -0.05 0.74

Proportion of Houses With No Form of Refuse Removal Ratio (%) 16.90 18.44 20.58 2.23 1.99





- -




- -

- -

- -

- -

SENQU LOCAL MUNICIPALITY1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

ECONOMIC GROWTH AND TRANSFORMATION -Regional Gross Domestic Product (GDP-R) Rm, 2005 790 850 897 920 975 1 020 1 109 1 083 1 105 1 118 1 130 1 205 1 261 1 335 1 315 1 340Regional Gross Domestic Product (GDP-R) per Capita R, 2005 126 136 143 147 156 163 177 173 177 179 181 193 201 213 210 214Gross Value Added (GVA) Rm, 2005 698 750 792 814 865 908 988 966 986 997 1 008 1 074 1 124 1 191 1 176 1 198Gross Operating Surplus (GOS) Rm, 2005 225 250 267 272 299 326 372 362 370 373 378 428 466 520 509 531Total Output Rm, 2005 1 157 1 215 1 316 1 397 1 536 1 680 1 888 1 887 1 975 2 027 2 065 2 224 2 344 2 460 2 486 2 561Intermediate Consumption Rm, 2005 459 465 524 584 671 772 901 922 990 1 030 1 057 1 150 1 220 1 268 1 310 1 363Tress Index for 10 Industries Index 52.20 52.20 51.60 51.30 51.30 51.90 50.10 50.30 49.80 49.90 50.90 50.90 51.50 53.10 54.50 54.50Tress Index for 23 Industries Index 80.80 80.80 80.70 80.70 80.80 80.70 80.00 79.60 79.10 78.80 78.80 78.70 78.60 79.10 79.40 79.30


POVERTY AND INCOMEGini Coefficient Coefficient 0.57 0.58 0.58 0.59 0.60 0.61 0.61 0.62 0.63 0.64 0.65 0.66 0.67 0.68 0.69 0.71Number of People in Poverty Number 115 757 109 223 112 758 110 248 107 461 104 469 100 015 98 108 94 302 90 118 85 564 80 703 68 815 70 964 67 235 63 834Poverty rate % 85.59 79.41 81.60 79.60 77.61 75.61 72.63 71.05 68.49 65.92 63.36 60.79 52.87 55.67 53.10 50.54No Schooling: Persons Aged 15+ Years Number 15 946 16 198 16 214 16 199 16 134 16 009 15 836 15 485 15 018 14 490 13 911 13 298 12 683 12 095 11 647 11 236Illiteracy: Persons Aged 20+ Years Number 31 314 31 797 31 714 31 568 31 348 31 062 30 756 30 794 30 582 30 218 29 709 29 135 28 574 28 051 27 899 27 847Population Density Persons per km² 18.46 18.78 18.86 18.91 18.90 18.86 18.80 18.85 18.80 18.66 18.44 18.12 17.77 17.40 17.28 17.24Total Household Disposable Income Rm, 2004 652 726 786 819 878 954 982 1 007 986 984 983 995 1 037 1 062 1 042 1 083Total Household Expenditure Rm, 2005 634 704 760 797 853 925 957 977 961 961 963 987 1 030 1 062 1 039 1 074


CRIME Number of Cases of Murder Number - - - - - - - - - 231.69 219.54 241.28 214.28 214.02 200.45 163.31Number of Cases of Sexual Crimes Number - - - - - - - - - 530.15 551.48 550.32 502.89 532.03 513.77 516.27Number of Cases of Common Robbery Number - - - - - - - - - 512.30 486.35 548.19 376.88 398.39 338.86 267.88Number of Cases of Drug-related Crimes Number - - - - - - - - - 714.10 905.90 898.79 882.38 1 010.77 1 182.06 1 395.38Number of Cases of Driving Under the Influence of Alcohol Number - - - - - - - - - 168.04 228.47 472.52 1 001.69 614.58 742.31 394.44


* Notes:



Documents

JOE GQABI DISTRICT - ecsecc.org · Cape. The narrative report compares Joe Gqabi with the Eastern Cape and South Africa. Attached to the report are summary ... GEOGRAPHY 2 INTRODUCTION