DEMOGRAPHIC AND HEALTH PROFILE
The Northern Cape is the biggest province in geographic size but has the smallest provincial population size in South Africa. This makes the
province the most sparsely populated in the country. In 2010 the province had a population density of only 3 people per square kilometer. The
province also has one of the oldest populations in the country, with 6.2% of its population aged 65 years and above and a median age of 25
years in 2010. Northern Cape is a net out-migrating province. In the period 2006-2011 the province lost approximately 20,000 people to other
provinces. The Northern Cape has among the lowest HIV prevalence rates, with an estimated figure of 6,6% in 2010. The province, however,
bears a relatively heavy burden of TB. In 2010, for every 100 000 people that went through the health care system in the province about 930
were captured as new TB cases.
Figure 1: Characteristics of Northern Cape population Figure 2: Health status
Source: Stats SA, HST, DBSA Information Analysis Unit calculations
ECONOMIC AND LABOUR PROFILE
According to figure 3, the GDP growth rate of the Northern Cape has been volatile over the years resulting in the economy growing by an
annual average rate of 2.1% between 1996 and 2010. The economy grew from 3% in 1996 to -1.7% in 2001 as a result of the decline in
mining activity. The impact of the 2008/09 global recession also led to GDP growing by -3.2% in 2009. However GDP receded to 1.9% in
2010, a pleasant recovery from the previous year.
Figure 4 illustrates a relatively diversified economy. Mining accounts for the largest portion while construction has the lowest share. Finance,
government services and the wholesale trade sectors have a significant share in the economy both accounting 14.4% of provincial GDP
output. The growth in 2010 was a result of mining contributing 1.1 percentage points relative to the other economic sectors which jointly
contributed a 0.7 percentage points.
Figure 3: GDP growth rate Figure 4: Composition of GDP (2010) Figure 5: Sectoral contribution to GDP growth (2010)
Source: Stats SA, DBSA Information Analysis Unit calculations
Agric, 5.7%
Mining, 20.7%
Manuf, 3.5%
Elec, 1.8%
Const, 1.6%
Wholesale, 10.4% Trans,
9.1%
Fin, 13.4%
Pers services,
9.0%
Gvt services,
13.4%
0.0%
1.1%
0.3%
0.0%
-0.1%
0.2% 0.1%
0.2%
-0.3%
0.3%
-0.4%
-0.2%
0.0%
0.2%
0.4%
0.6%
0.8%
1.0%
1.2%
Agr
ic
Min
ing
Man
uf
Elec
Co
nst
Wh
ole
sale
Tran
s
Fin
Pe
rs s
ervi
ces
Gvt
ser
vice
s
3.0%
4.0%
1.7%
2.6%
1.9%
-1.7%
1.3%
3.6%
2.5%
3.6% 4.1% 3.9%
1.7%
-3.2%
1.9%
-4.0%
-3.0%
-2.0%
-1.0%
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
Median age: 25 years
HIV prevalance rate: 6.6%
Net-out- migration:
20,000 people
NORTHERN CAPE PROFILE SUMMARY REPORT
Heavy burden of TB
Lowest HIV prevalence rate
According to figure 6, the largest employer in the province is the community services industry which accounts just more than 30% of the labour
market. Wholesale & trade, agriculture and private households (domestic workers) are also significant employers. A large proportion of the
youth is employed in the community services industry while some are employed in the wholesale & trade and the agriculture industries. A
similar trend is observed in the 35-64 age cohort as shown in figure 7.
Unemployment rate in the province grew by an annual average rate of 25.2% in the past decade. According to figure 8, the unemployment
rate reached its peak in 2003 with unemployment rate reaching 28% from 18.4% in 2000. From 2004 onwards ,he unemployment rate has
remained relatively constant on an average rate of 26.3% The province has not been able to reduce its rate of unemployment rate in line with
the government’s objective of halving unemployment and poverty by 2014.
Youth unemployment rate in the province has remained consistently high over the years, higher than the aggregate unemployment rate in the
province. This is an indication of the inability of the labor market to create sufficient jobs that will absorb the youth looking for employment.
Figure 6: Industry employment (2010) Figure 7: Industry employment by age (2010) Figure 8: Unemployment rate
Source: Stats SA, DBSA Information Analysis Unit calculations
ACCESS TO BASIC SERVICES
The standard of living and quality of life for the people in the Northern Cape Province is largely influenced by improved access to basic
services. Backlog figures indicated in figure 9 below highlights that refuse backlogs in 2007 were the highest while water and sanitation had
the least backlog figures than electricity in 2011. During 2011, the percentage of households without access to electricity was estimated at
19% that is 53923 households without access. Figure 9 below implies that the province is still bearing the burden of refuse services in
general, while the number of households with access to water and sanitation has increased significantly, hence less water and sanitation
backlogs.
Figure 9: Number of households without access to services
Source: DWA, DME, Stats SA
19%
2%
2%
28%
Electricity (2011)
Water (2011)
Sanitation (2011)
Refuse Removal (2007)
Percentage of households without access to services
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
45.0%
50.0%
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Unemployment rate
Youth unemployment rate
0.0% 2.0% 4.0% 6.0% 8.0%
Agric
Mining
Manuf
Elect
Const
Whol
Trans
Fin
Com Serv
Pvt Households
35-64 yrs
15-34 yrs
Agric , 15.7%
Mining , 3.8%
Manuf, 4.3%
Elect, 0.4%
Const, 6.6%
Whol, 15.8%
Trans, 3.6%
Fin, 8.1%
Com Serv,
30.7%
Pvt Househol
ds , 10.9%
DBSA SUPPORT TO THE NORTHERN CAPE PROVINCE
In terms of the support rendered by the DBSA to the province, the Siyenza Manje program assigned Deployees to under-resourced
municipalities in the province as shown in figure 10. These include technical and planning experts. The Deployees helped to facilitate projects
worth over R557.5 million. A bulk of the loans was allocated to the energy sector as shown in figure 11.
Figure 10: Deployees to the province Figure 11: Distribution of loans per sector
Source: DBSA South African Operations Division
During the period 2006/07 to 2010/11 financial years, the total value of loans disbursed was over R183.5 million. The bulk of the
disbursements were allocated to social infrastructure as depicted in figure 13. Of the total amount of loans disbursed, 91% of the projects were
completed and the remaining 9% were in the implementation stages. Most of the completed projects were in Gamagara and Sol Plaatjie
municipalities. These projects were mainly in energy and social infrastructure sectors.
Figure 12: Proportion of sector disbursements (2010) Figure 13: Completed projects
Source: DBSA South African Operations Division
Energy , 57.8%
Residential facilities , 1.0%
Roads & infrastructure ,
0.2%
Sanitation , 6.4%
Social infrastructure ,
25.1%
Transport , 4.2%
Water , 5.3%
Energy , 11.0%
Roads & infrastructure ,
0.7%
Sanitation , 1.7%
Social infrastructure ,
68.9%
Transport , 11.1%
Water , 6.7%
MACROECONOMIC IMPACT OF DBSA SUPPORT TO NORTHERN CAPE
The Social Accounting Matrix (SAM) model was used to calculate the impact of the DBSA’s (SA Operations Division) funding during the
2010/11 financial year. The approved funding portfolio together with the signed agreements are said to have potential impact which comes
into effect once the funds are actually disbursed. Only the disbursed funding portfolio has an actual development impact on the province. The
DBSA’s disbursement to projects in the province was R49 million and an estimated 110 employment opportunities were created.
According to Table 1, the share of Northern Cape during the 2010/11 financial year ranged between 2% and 7% in the funding portfolio of
provinces. The DBSA funding is relatively not in line with the socio-economic challenges experienced by the province. This is a reflection of
the relative scarcity of appropriate investment opportunities in the province rather than the funding strategy of the Bank.
Table 1 further depicts how a R1 million investment in the tourism sector is estimated to have an impact on GDP of R1.01 million. The lowest
impact on GDP is estimated to be in the energy sector. Similarly, an investment of R1 million in entrepreneurial will contribute to the creation of
7.79 employment opportunities. By directing more investment to more sectors a larger impact can be achieved to address the challenges that
the province faces such as unemployment, inequality and poverty.
Table 1: Actual impact of DBSA’s disbursements on GDP and employment
Source: DBSA South African Operations Division, Information Analysis Unit
The impact on GDP is relatively significant in the infrastructure sectors as shown in figure 14. The impact on employment however is low in
the infrastructure sectors which fall within the DBSA funding mandate include water, roads, drainage and energy. Investment in these
sectors is enabling and creates opportunities for private sector investment.
Figure 14: Impact on GDP per R1 mil investment Figure 15: Impact on Employment per R1 mil investment
Source: DBSA Information Analysis Unit
INDICATORS STRENGTH CHALLENGES
Socio-economic indicators
Economy is relatively diversified.
Mining the largest contributor to GDP growth.
Volatile economic growth.
Community services sector largest employer High unemployment especially amongst the youth. Limited DBSA impact on socio-economic challenges due to
relative scarcity of appropriate investment opportunities in the province.
Access to basic services
Improvement in access to basic services of water and
sanitation.
The province has the lowest HIV prevalence rates.
The province has one of the oldest populations in the country.
Hugely burdened with provision of refuse removal services
and to a lesser extent electricity.
5.34 7.79
1.94 7.70
1.41 7.72
1.24 0.92
1.75 1.24
1.71 7.30
1.95 1.13 1.24 1.17 1.24
- 5.00 10.00
Agriculture Entrepreneurial, Fund & Manufacturing
Mining Tourism
Communication Education- Formal, Recreational & Residence
Education- Non-Formal & Vocational Energy
Data, Research & Information Analysis Institution Building
Policy Residential Facilities- Formal & Non-Formal
Roads & Drainage Sanitation
Social Infrastructure Transportation
Water
Employment (number)
0.49 0.97
0.68 1.01
0.48 0.55
0.36 0.29
0.58 0.36
0.57 0.52
0.41 0.44
0.36 0.37
0.48
- 0.20 0.40 0.60 0.80 1.00 1.20
Agriculture Entrepreneurial, Fund & Manufacturing
Mining Tourism
Communication Education- Formal, Recreational & Residence
Education- Non-Formal & Vocational Energy
Data, Research & Information Analysis Institution Building
Policy Residential Facilities- Formal & Non-Formal
Roads & Drainage Sanitation
Social Infrastructure Transportation
Water
GDP (R mil)
Approved DBSA & Co-Funders (R mil)
Total Funds Approved (R mil)
Signed
Agreements (Rmil)
Funds Disbursed (R mil)
Impact on GDP per R1 mil investment
Impact on Employment per R1 mil investments
R266 R265 R265 R49 Highest impact Lowest impact Highest impact Lowest impact
(3%) (3%) (7%) (2%)
Tourism (1.15)
Energy (0.31)
Tourism (10.35)
Energy (1.03)
Percentage share of Northern Cape in DBSA
Funding
STRENGTH AND CHALLENGES IN THE PROVINCE
Produced by Information Analysis Unit
Development Planning Division Development Bank of Southern Africa PO Box 1234 Halfway House 1685 South Africa
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