September 2005 Labour Force Survey Analysis
Author: Phillip Romanovsky and Karen Small
Strategic Development Information and GIS Department
Strategic Information Branch
August 2007
September 2005 Labour Force Survey Analysis
Table of Contents
1
Introduction .......................................................................................................................................4
2
Methodology .....................................................................................................................................4
3
Definitions .........................................................................................................................................4
4
Study Findings ..................................................................................................................................4
4.1
4.2
4.3
4.4
4.5
4.6
4.7
4.8
4.9
4.10
4.11
4.12
4.13
4.14
4.15
4.16
4.17
4.18
5
Labour Force Characteristics ....................................................................................................4
Employment Status ...................................................................................................................5
Labour Force Absorption and Participation Rates .....................................................................6
Age and Gender Structure of the Labour Force.........................................................................7
Educational Level of the Employed ...........................................................................................7
Employment by Occupation ......................................................................................................8
Informal Sector Employment ................................................................................................... 10
Annual Income of the Employed ............................................................................................. 11
Formal Industrial Sector .......................................................................................................... 13
Employment Quotient – Index of Economic Sector ................................................................. 13
Unemployment ........................................................................................................................ 14
Unemployment by Age ............................................................................................................ 14
Length of Time Unemployed ................................................................................................... 15
Education Level of the Unemployed ........................................................................................ 16
Unemployed by Previous Occupation ..................................................................................... 16
Discouraged Work Seekers..................................................................................................... 17
Age and Gender Structure of Discouraged Work Seekers....................................................... 18
Why Discouraged Work Seekers are not Seeking Work .......................................................... 18
Conclusion ...................................................................................................................................... 19
Appendices ............................................................................................................................................ 20
Appendix A – Employment status of those 15 years and older ........................................................... 20
Appendix B – Labour force absorption and participation rates ............................................................ 20
Appendix C – Labour force by age and gender ................................................................................... 21
Appendix D – Level of education of the employed .............................................................................. 22
Appendix E - Occupations in the formal sector ................................................................................... 23
Appendix F - Occupations in the informal sector ................................................................................. 24
Appendix G – Annual income of the employed ................................................................................... 25
Appendix H – Formal industrial sector ................................................................................................ 26
Appendix I – Unemployment by age, population group and gender .................................................... 27
Appendix J – Length of time unemployed ........................................................................................... 28
Appendix K – Education level of the unemployed ............................................................................... 29
Appendix L – Previous occupation of the unemployed ........................................................................ 30
Appendix M – Discouraged work seekers by age ............................................................................... 31
Appendix N – Discouraged work seekers not seeking work ................................................................ 32
Tables
Table 1: Employment quotient ........................................................................................................... 14
Table 2: Unemployment Rates ........................................................................................................... 14
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September 2005 Labour Force Survey Analysis
Figures
Figure 1: Labour force by population group and gender .......................................................................5
Figure 2: Employment status by population group and gender .............................................................5
Figure 3: Labour force absorption and participation rates.....................................................................6
Figure 4: Age and gender structure of the labour force ........................................................................7
Figure 5: Education level of the employed ...........................................................................................7
Figure 6: Occupations in the formal sector by population group ..........................................................8
Figure 7: Occupations in the formal sector by gender ..........................................................................9
Figure 8: Skills mix ..............................................................................................................................9
Figure 9: Occupations in the informal sector by population group ...................................................... 10
Figure 10: Occupations in the informal sector by gender.................................................................... 11
Figure 11: Annual income of the employed by gender ....................................................................... 11
Figure 12: Annual income of the employed by population group ........................................................ 12
Figure 13: Formal industrial sector ..................................................................................................... 13
Figure 14: Unemployment by age groups .......................................................................................... 14
Figure 15: Length of time unemployed ............................................................................................... 15
Figure 16: Education level of the unemployed.................................................................................... 16
Figure 17: Previous occupation of the unemployed ............................................................................ 16
Figure 18: Discouraged work seekers ................................................................................................ 17
Figure 19: Discouraged work seekers by age .................................................................................... 18
Figure 20: Discouraged work seekers not seeking work.................................................................... 18
Citation: City of Cape Town (2007), Strategic Development Information and GIS Department,
September 2005 Labour Force Survey Analysis, Phillip Romanovsky and Karen Small, 32 Pages.
September 2005 Labour Force Survey data supplied by Statistics South Africa.
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September 2005 Labour Force Survey Analysis
1
Introduction
The Labour Force Survey (LFS) captures a wide range of information based on the labour market
characteristics. This report focuses on workers in Cape Town - their demographic and socioeconomic characteristics, their overall pattern of employment in the formal and informal sectors by
occupational and industrial sector breakdowns and gender differences in employment patterns. The
report also looks at unemployment rates and discouraged work seekers by age and population
group.
2
Methodology
The LFS is conducted twice a year, in March and September, by Statistics South Africa on a
national scale and is stratified on a district council basis. The master sample was a multi-stage
stratified sample with an overall sample size of 3000 Primary Sampling Units (PSUs). The PSUs
were allocated to the 53 district councils using the power allocation method. Finally the PSUs were
sampled using probability proportional to size principles.
Prior to 2005 the master sample was stratified on a Provincial basis and it was not possible to
analyse the data for the City of Cape Town.
3
Definitions
The economically active population is all persons aged 15 years and above.
The labour force is all economically active persons, both employed and unemployed, 15 years and
older.
The official definition of unemployment are those people within the economically active population
who did not work during the seven days prior to the interview, want to work and are available to
start work within two weeks of the interview, and have taken active steps to look for work or to start
some form of self-employment in the four weeks prior to the interview.
The expanded, or unofficial, definition of unemployment excludes the criterion of having taken
active steps to look for work or to start some form of self-employment in the four weeks prior to the
interview. These are the discouraged work seekers.
4
4.1
Study Findings
Labour Force Characteristics
The September 2005 LFS estimated the size of the labour force of Cape Town to be 1,494,037
persons of which 53.1% are males and 46.9% are females.
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September 2005 Labour Force Survey Analysis
Employed
Unemployed
25%
20%
15%
10%
5%
0%
Male
Female
Male
Black African
Female
Coloured
Male
Female
Male
Asian
Female
White
Figure 1: Labour force by population group and gender
The contribution of the workers to the labour force by the different population groups is shown in
figure 1 and varies as follows: the Coloured group makes up the largest segment with 668,834
persons (44.8%), followed by the Black African group with 504,179 persons (33.7%), the White
group contributing 306,150 persons (20.5%), and the Asian group the least with 14,871 persons
(1%). Further details are in Appendix A.
4.2
Employment Status
Employed
Unemployed
Not Economically Active
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
Male
Female
Black African
Male
Female
Coloured
Male
Female
Male
Asian
Female
White
Figure 2: Employment status by population group and gender
Figure 2 reveals that within each population group a smaller proportion of females than males over
the age of 15 years are employed and a larger proportion are not economically active.
Among the males the proportion employed is highest for Asian (69.2%), followed by Whites (61%),
Coloured (60.1%) and Black African (54.2%). The pattern is different for females. The proportion
of employed females is again highest among Asians (57.1%) and lowest among Black African
(43%) and Coloured (43.3%). Just over half (51.1%) of White females are employed.
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September 2005 Labour Force Survey Analysis
Figure 2 also shows that within each population group the percentage of females who were not
economically active was at least 10 percentage points higher than that of males. White females
over the age of 15 years had the largest percentage (45.9%) that was not economically active
followed by Coloured females at 44.9%. Females in the Asian and Black African groups had the
lowest percentage of 42.9% and 34.3% respectively.
The percentage of persons over the age of 15 years who are economically active but unemployed
varies by population group where as gender differences within the groups, with the exception of the
Asian group, were not noticeable different. Just over 20% of Black African males and females and
just over 10% of Coloured males and females were unemployed. The White group had the lowest
percentage of unemployed males and females at 3.3% and 3% respectively.
4.3
Labour Force Absorption and Participation Rates
The labour force absorption rate is defined as the percentage of the population of working age who
are employed. The labour force participation rate is the number of employed and unemployed
persons as a percentage of the population of working age.
Absorption Rate
Participation Rate
100%
100%
90%
78%
80%
70%
60%
76%
69%
67%
63%
61% 61%
59%
64%
68%
57%
54%
50%
61%
46%
44%
40%
30%
20%
10%
0%
Male
Female
Black African
Male
Female
Coloured
Male
Female
Male
Asian
Female
White
Figure 3: Labour force absorption and participation rates
Figure 3 reveals substantial population group and gender variations in both rates. The Black
African female group has the lowest labour force absorption rate of 43.9% when compared to the
White female labour force absorption rate of 57.5%. The low rate of the Black African females
means a larger share of the population is either unemployed or not economically active. Both the
White and Coloured male rates are about 10 points higher than the Black African males.
The labour force participation rates exhibit similar patterns to the absorption rates for both gender
and the different population groups. Labour force participation rates for females remain below that
of males for the same reasons that employment rates differ by gender.
The labour force participation rates for the Western Cape Province differ only slightly from the
labour force participation rates for Cape Town at 67.1% and 68.3% respectively (see Appendix B).
Male and female labour force participation rates for the Western Cape Province stood at 74.7%
and 60.0% respectively compared to Cape Town where male and female rates stood at 75.0% and
62.0% respectively.
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September 2005 Labour Force Survey Analysis
4.4
Age and Gender Structure of the Labour Force
Employed
Unemployed
60-64
55-59
50-54
45-49
Age
40-44
35-39
30-34
25-29
20-24
15-19
10%
5%
0%
5%
Male
10%
Female
Figure 4: Age and gender structure of the labour force
The age-gender composition establishes certain limits on the labour resources of Cape Town.
Figure 4, with its broad base, is indicative of a fairly young work force with the age distribution
skewed in favour of the workers in the 20 to 34 age groups. This age group constitutes just fewer
than 50% of the work force with a sex ratio of 115 males to every 100 females. Both the Black
African and Coloured group make up 87% of the work force in the 20 to 34 age groups.
The 40 to 64 age groups constitute about one third of the labour force with the White group
providing 34%, the Black African group 13% and the Coloured group just under one third of the
workers. For more details of the labour force by age and gender see Appendix C.
4.5
Educational Level of the Employed
Black African
Coloured
White
Asian
18%
16%
14%
12%
10%
8%
6%
4%
Other
Degree
Diploma or
Certificate
Matric
Grade 8-11
Grade 6-7
Grade 0-5
No schooling
0%
NTC I-III
2%
Figure 5: Education level of the employed
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September 2005 Labour Force Survey Analysis
The figure above shows the educational achievements of all employed persons. Educational
achievement is measured by the highest standard completed. A table giving details of the
education levels is in Appendix D.
The number of workers who have an educational qualification higher than matriculation was low for
both the Black African (11.2%) and Coloured (11.1%) groups. For 44.5% of the workers the
highest level of education was below matriculation (grade 12). Of these workers 79.3% had
completed some level of secondary school (grade 8 to grade 11) and 18.5% had some primary
education.
A similar pattern of overall slightly higher educational levels for females than for males holds within
all population groups for workers who have completed matriculation, but there were large
differences between the population groups. For example 35.5% of both Black African females and
Coloured females had completed matriculation compared with 53% of White females. The
comparative percentages for Black African males are 26.5%, Coloured males 30.2% and White
males 36.9%. Conversely just fewer than 9% of males completed a university education compared
to just fewer than 7% of females.
4.6
Employment by Occupation
Formal Sector
Black African
Coloured
White
Asian
11%
10%
9%
8%
7%
6%
5%
4%
3%
2%
1%
Elementary
Occupation
Plant and
machine
operators and
assemblers
Craft and
related trade
workers
Service
workers and
shop and
market sales
workers
Skilled
agricultural
and fishery
workers
Clerks
Technical and
associated
professionals
Professionals
Legislators,
senior
officials and
managers
0%
Figure 6: Occupations in the formal sector by population group
Figure 6 shows that occupations in Cape Town differ by population group. A significant percentage
of the Black African group are concentrated in elementary occupations (27.5%), service workers
and shop and sales workers (22.7%) and craft and related trade workers (21.3%), where as the
Coloured group are employed as clerks (21.6%), in elementary occupations (16.9%) and as craft
and related trade workers (16.7%). The White group are mainly legislators, senior officials and
managers (28.5%), clerks (21.0%), technical and associated professionals (18.9%) and
professionals (14.8%). Details of occupations in the formal sector by population group and gender
are in Appendix E.
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September 2005 Labour Force Survey Analysis
Males
14%
Females
12.9%
12.2%
12%
9.5%
10%
7.9%
7.4%
8%
6.2%
5.4%
6%
6.7%
5.5%
5.1%
5.3%
4.8%
4.1%
4%
2.4%
2.4%
1.7%
2%
0.5%
0.0%
Elementary
Occupation
Plant and
machine
operators and
assemblers
Craft and
related trade
workers
Service
workers and
shop and
market sales
Skilled
agricultural
and fishery
workers
Clerks
Technical and
associated
professionals
Professionals
Legislators,
senior
officials and
managers
0%
Figure 7: Occupations in the formal sector by gender
Figure 7 reveals that occupations in Cape Town also tend to differ by gender. A large proportion of
females are found in clerical positions, as technical and associated professionals and as service,
shop and market sales workers. A large proportion of males are in elementary occupations, are
craft and related trade workers and are in legislator, senior official and manager positions.
A total of 17.3% of all females were employed as technical and associated professionals with a
significant percentage of White females (27.6%) in this category compared to 15% of Coloured
females and 5.9% of Black African females.
A large number of females are employed as clerks (30%) and service or shop workers (15.6%).
Among males, on the other hand, craft and related trade workers (21.4%), elementary occupations
(16.7%) and senior officials and managers (13.9%) predominate.
Skills Mix
22.4%
29.1%
Skilled white collar
Semi skilled white collar
Skilled blue collar
6.5%
Semi skilled blue collar
Unskilled
13.4%
28.6%
Figure 8: Skills mix
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September 2005 Labour Force Survey Analysis
Figure 8 shows the skills mix of Cape Town’s labour force. Nearly 30% of the work force is
classified as skilled white collared workers. This group consists of professional, technical and
managerial positions. A similar proportion of workers (28.6%), mainly clerks, service and sales
workers are grouped in the white collared semi-skilled category. Just over 20% of the workers are
unskilled and occupy positions in the elementary and domestic worker sectors.
Cape Town’s economy offers a wide range of occupations. However there is a high percentage of
jobs that require a high formal education and professional training and there is a wide range of low
paid work in elementary occupations which offer no real career prospects or provide secure
positions.
4.7
Informal Sector Employment
The labour force survey estimated that 125,478 persons were engaged in informal sector activities,
which accounts for almost 12% of all jobs in Cape Town. The Black African group provide the
largest percentage of workers (61.8%) in this sector followed by the Coloured group with 27.5% of
the workers involved in unregistered work activities. The sex ratio in the informal sector was 129
males to every 100 females.
Black African
Coloured
White
35%
30%
25%
20%
15%
10%
5%
Elementary
Occupation
Plant and
machine
operators and
assemblers
Craft and
related trade
workers
Service
workers and
shop and
market sales
workers
Clerks
Technical and
associated
professionals
Legislators,
senior
officials and
managers
0%
Figure 9: Occupations in the informal sector by population group
Figure 9 reveals that unlike the formal sector, the occupational distribution is skewed towards a
limited range of occupations. The vast majority of workers in the informal sector are Black Africans
(61.8%) of whom 52.2% are employed in elementary occupations. Details of occupations in the
informal sector by population group and gender are in Appendix F.
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September 2005 Labour Force Survey Analysis
Males
Females
30%
25.8%
25%
18.7%
20%
15%
13.0%
9.1% 9.7%
10%
6.0%
5%
3.3%
2.9%
3.3%
2.8%
0.9%
2.4% 2.1%
0.0%
Elementary
Occupation
Plant and
machine
operators and
assemblers
Craft and
related trade
workers
Service
workers and
shop and
market sales
workers
Clerks
Technical and
associated
professionals
Legislators,
senior
officials and
managers
0%
Figure 10: Occupations in the informal sector by gender
The skewness is particularly marked for females in that well over half (65%) are employed in both
elementary occupations (43%) and as service, shop and market sales workers (22.3%) as seen in
figure 10.
For males the largest job provider is elementary occupations, which accounts for over 45 % of
informal sector jobs, followed by craft and trade related workers (23%) and service, shop and
market sales workers (16.1%).
4.8
Annual Income of the Employed
Males
Females
12%
11%
10%
9%
8%
7%
6%
5%
4%
3%
2%
1%
Over R360,000
R192,001 to
360,000
R132,001 to
R192,000
R96,001 to
R132,000
R72,001 to
R96,000
R54,001 to
R72,000
R42,001 to
R54,000
R30,001 to
R42,000
R18,001 to
R30,000
R12,001 to
R18,000
R6,001 to
R12,000
R2,401 to
R6,000
R1 to R2,400
0%
Figure 11: Annual income of the employed by gender
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September 2005 Labour Force Survey Analysis
Figure 11 reveals the disparities in the income of males and females aged 15 years and older.
Females are more likely than males to be found in the lower earning categories. Conversely males
are more likely then females to be found in the higher earning categories.
Black African
Coloured
White
Asian
12%
11%
10%
9%
8%
7%
6%
5%
4%
3%
2%
1%
Over R360,000
R192,001 to
360,000
R132,001 to
R192,000
R96,001 to
R132,000
R72,001 to
R96,000
R54,001 to
R72,000
R42,001 to
R54,000
R30,001 to
R42,000
R18,001 to
R30,000
R12,001 to
R18,000
R6,001 to
R12,000
R2,401 to
R6,000
R1 to R2,400
0%
Figure 12: Annual income of the employed by population group
Within the population groups the gender difference in earning capacity was more pronounced for
the White group and to a lesser extent for the Coloured and Black African groups as can be seen
in figure 12.
Just over a quarter (26.7%) of all females, compared to 10.5% of males, earned below R12,000
per annum. Within the White group 27% of females, compared to just 8% of males, earned below
R42,000 per annum. Two thirds (66.59%) of Coloured females, compared to just over half
(52.06%) of Coloured males, earned under R42,000 per annum. In the Black African group the
percentage of males and females earning under R42,000 per annum was more evenly spread ay
87.0% and 90.5% respectively. However at the lower earning category just over half the Black
African females (53.5%), compared to 23.6% of Black African males earned less than R12,000 per
annum.
Incomes above R96,000 per annum highlight the greater earning capacity of males compared to
females. Two thirds (66.9%) of White males, compared to 38.5% of White females, earned above
R96,000 per annum. For both the Coloured and Black African males and females the disparities in
earnings was not as great in the higher earning categories. In the Coloured group 12.4% of males,
compared to 7.9% of females earned over R96,000 per annum. The opposite is true for the Black
African group with 6.27% of females and 2.14% of males earning over R96,000 per annum.
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September 2005 Labour Force Survey Analysis
4.9
Formal Industrial Sector
28%
26.2%
26%
24%
22%
20.1%
19.6%
20%
17.8%
18%
16%
14%
12%
9.1%
10%
8%
5.9%
6%
4%
2%
0.7%
0.6%
Financial,
insurance, real
estate and
business
services
Community,
social and
personal
services
Transport,
storage and
communication
Wholesale and
retail trade
Construction
Electricity, gas
and water
supply
Manufacturing
Agriculture,
hunting,
forestry and
fishing
0%
Figure 13: Formal industrial sector
Figure 13 shows that the trade industry, which includes both retail and wholesale trade, makes the
single largest contribution to total employment in the formal sector in Cape Town, employing 26.2%
of the labour force accounting for 260,607 jobs.
The tertiary industries such as community, social and person services and financial, insurance, real
estate and business services account for 37.4% of jobs which together with the trade sector
provide employment for 63.6% of the labour force highlighting the service characteristics of Cape
Town’s economy.
The manufacturing industry is the second largest single contributor to total employment with
199,996 workers (20.1%) whereas agriculture, hunting, forestry and fishing (0.6%), electricity, gas
and water supply (0.7%) and transport, storage and communication (5.9%) contribute the least.
The construction sector employs 28.7% of Black African males, while a significant majority of Black
African females are employed in wholesale and retail trade (45.8%) and in the community, social
and personal services (23.7%). The Coloured and White groups are evenly distributed through the
industrial sectors with both males and females relatively equally concentrated in manufacturing,
wholesale and retail trade, finance, insurance, real estate and personal services and community,
social and personal services. Details of employment in the formal industrial sector by population
group and gender are in Appendix H.
4.10 Employment Quotient – Index of Economic Sector
In order to determine the degree in which Cape Town’s economy has a greater concentration of
employment than South Africa may be measured by the calculation of the employment quotient.
This is done by employing the following formula:
Number of workers in the Cape Town in specific industry
Total number of workers in the Cape Town
July 2007
/
Number of workers in South Africa in same industry
Total number of workers in South Africa
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September 2005 Labour Force Survey Analysis
Values greater than unity (one) indicate a higher specialisation of industries within Cape Town than
the country as a whole. The higher the index the greater the specialisation
Industry
Financial, insurance, real estate
and business services
Manufacturing
Construction
Wholesale and retail trade
Transport, storage and
communication
Community, social and personal
services
Electricity, gas and water supply
Agriculture, hunting, forestry and
fishing
Table 1: Employment quotient
Employment quotient
1.48
1.25
1.18
1.11
1.04
1.01
0.77
0.07
4.11 Unemployment
Black African
Coloured
Male Female Male Female
Official
30.3
34.7
16.9
21.4
Unofficial
33.5
40.1
22.3
33.4
Table 2: Unemployment Rates
White
Male Female
5.1
5.5
8.6
9.2
Total
20.6
27.0
Table 2 shows the official and unofficial unemployment rates by population group and gender. The
table reveals that the official unemployment rate is highest among Black African females (34.7%)
and lowest among White males (5.1%). The table also reveals that, irrespective of population
group, the unemployment rate among females is substantially higher than their male counterparts.
4.12 Unemployment by Age
30%
28.1%
28%
26%
24%
21.3%
22%
20%
18%
16%
14%
13.4%
11.3%
12%
10%
8.3%
8%
6.0%
5.9%
6%
3.5%
4%
1.0%
2%
0.5%
0.4%
0.4%
60-64
65-69
75-79
0%
15-19
20-24
25-29
30-34
35-39
40-44
45-59
50-54
55-59
Figure 14: Unemployment by age groups
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September 2005 Labour Force Survey Analysis
Figure 14 reveals a strong relationship between age and the official unemployment rates.
Unemployment rates are far higher in the younger age groups. For example, 28.1% of the
unemployed are in the 20 to 24 age group compared to 21.3% in the 25 to 29 age group which in
turn is higher than the 11.35% in the 30 to 34 age group. This again highlights the youthfulness of
the workforce in Cape Town’s economy, which makes up 62.8% of the unemployed under 30.
The association is evident especially within the Black African and Coloured groups according to
gender (see Appendix I).
This higher degree of unemployment in the younger age groups can lead to the social exclusion of
the youth causing high rates of unemployment across their working life span.
4.13 Length of Time Unemployed
28%
25.6%
26%
24%
23.4%
22%
20%
18%
16%
15.9%
14%
12%
10%
10.3%
7.3%
8%
6%
7.1%
6.8%
3 to 4
months
4 to 5
months
3.7%
4%
2%
0%
Less than
1 month
1 to 2
months
2 to 3
months
6 to 12
months
1 to 3
years
Over 3
years
Figure 15: Length of time unemployed
Figure 15 shows the length of time that workers have been unemployed. Overall 35.1% of workers
have been unemployed for less than six months, 15.9% between six and twelve months, 25.6% for
one to three years and 23.4% for over three years.
Gender differences are particularly pronounced in the Black African and Coloured groups where
33.5% and 25.2% of females respectively have been unemployed for more than three years
compared to 19.7% of Black African males and 16.0% of Coloured males. Details can be found in
Appendix J.
July 2007
Strategic Development Information and GIS Department
Page 15
September 2005 Labour Force Survey Analysis
4.14 Education Level of the Unemployed
52.6%
55%
50%
45%
40%
35%
30%
23.7%
25%
18.1%
20%
15%
10%
5%
0.8%
0.3%
1.0%
1.6%
1.7%
NTC I to III
Diploma or
Certificate
Degree
Other
0%
None
Grade 0 to 7 Grade 8 to
11
Matric
Figure 16: Education level of the unemployed
Figure 16 shows that a significant majority (76.4%) of the unemployed had completed some
secondary school education, whereas less than one quarter (23.7%) had obtained a matriculation
certificate. The educational levels of the Black African population group were very similar except
in the case of the unemployed Black African females with some form of secondary education,
which were substantially larger than their male counterparts (see Appendix K). Overall more of the
unemployed females (28.2%) than the unemployed males (19.1%) had completed matriculation.
This was particularly pronounced in the Coloured population group where females (28.8%) with
matriculation were nearly double the number of males (15.7%) in that group.
4.15 Unemployed by Previous Occupation
Black African
Coloured
White
90%
80%
70%
60%
50%
40%
30%
20%
10%
Domestic
workers
Elementary
occupation
Plant and
machine
operators
andassemblers
Craft and
related trade
workers
Skilled
agricultural and
fishery workers
Service
workers, shop
and market
sales workers
Clerks
Technical and
associated
professionals
Legislators,
senior officials
and managers
0%
Figure 17: Previous occupation of the unemployed
July 2007
Strategic Development Information and GIS Department
Page 16
September 2005 Labour Force Survey Analysis
Figure 17 lists the previous occupations of the various population groups. In the White group most
(84.5%) of the unemployed were previously employed as technical and associated professionals
whereas in the Coloured group 37.9% had been employed in elementary occupations. In the
Black African group the largest percentage (40.7%) had also been employed in elementary
occupations followed by service, shop and market sales occupations (32%).
The previous occupations of unemployed Black African males were mainly concentrated service,
shop and sales activities (33.8%) and in elementary occupations (43.4%). Coloured males were
mainly employed previously in elementary occupations (36.0%), in craft and related trades (24.4%)
and as plant and machine operators (18.5%). Coloured females were mainly employed in
elementary occupations (34.5%) and as clerks (21.1%). Both unemployed White males and
females were previously employed as technical and associated professionals, which consists
mainly of teachers, nurses and public/civil servants. Details can be found in Appendix L.
4.16 Discouraged Work Seekers
Discouraged work seekers differ from those regarded as officially unemployed with respect to the
fact that, although they are willing to work, they have not taking active steps to find some form of
employment in the four weeks prior to the interview.
43.0%
45%
40%
35%
30%
25%
20%
15%
17.2%
19.4%
9.9%
10%
5%
4.9%
4.5%
Male
Female
1.2%
0%
Male
Female
Male
Black African
Female
Coloured
Female
Asian
White
Figure 18: Discouraged work seekers
Of the total working population 5.6% were classified as discouraged work seekers. Table 18
shows that these workers were predominately female. For example two out of every three
discouraged work seekers were female (65.9%) as against nearly one in every three (34.1%) that
were males. Of the discouraged work seekers 42.7% were Coloured females with Black African
females contributing 17% of the total number. For both Coloured and Black African females the
number of discouraged work seekers was approximately double the number of male works. In the
White group the males (52%) were marginally more than the females (48%).
July 2007
Strategic Development Information and GIS Department
Page 17
September 2005 Labour Force Survey Analysis
4.17 Age and Gender Structure of Discouraged Work Seekers
25.1%
26%
24%
22%
20%
18.5%
18%
16%
13.7%
14%
12%
9.4%
10%
9.6%
7.7%
8%
5.4%
6%
4.2%
4.1%
4%
2%
0.9%
0.8%
0.8%
60-64
65-69
75-79
0%
15-19
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
Figure 19: Discouraged work seekers by age
Figure 19 reveals that discouraged work seekers were predominately in the younger age groups.
More than half (57.2%) of those persons reported as discouraged work seekers were below the
age of 30 years, while 28.6% were between 30 and 49 years of age.
In the Coloured 15 to 19 age group 28.7% of females were discouraged work seekers compared
to 18.6% of males. A significant number of Black African females (44.2%) were aged between 20
and 24 years, which is similar to the 40.4% of Black African males in the same age group. 27.8%
of Black African females were in the 35 to 39 age group compared to the Coloured females who
were distributed more evenly throughout the age distribution. See Appendix M for details.
4.18 Why Discouraged Work Seekers are not Seeking Work
26.2%
17.5%
16.9%
11.3%
11.2%
7.5%
4.2%
Lost hope of
finding any kind
of work
Unable to find
work requiring
their skills
Lack of money
for transport to
look for work
No jobs
available in the
area
Undergoing
training to help
find work
Family
considerations,
child care
Pregnancy
Other reason
0.9%
0.8%
No transport
available
3.5%
Ill Health,
injury, physical
disability
28%
26%
24%
22%
20%
18%
16%
14%
12%
10%
8%
6%
4%
2%
0%
Figure 20: Discouraged work seekers not seeking work
July 2007
Strategic Development Information and GIS Department
Page 18
September 2005 Labour Force Survey Analysis
Figure 20 reveals the reasons for not seeking work among discouraged work seekers. The most
frequently mentioned reasons for loosing hope in finding work were, in descending order, family
considerations (17.5%), no jobs available in the vicinity of where they reside (16.9%) and the lack
of money for transport to look for work (11.3%). The ‘other reason’ category, which contains the
most responses, indicates a multitude of reasons which could not be categorised. This is
particularly true of the White group and to a lesser extent of the Coloured group (see Appendix N).
Inferences about these two groups should be viewed with caution.
The reasons given varies according to both gender and population group (see Appendix N). A
significant majority of Black African males (34.7%) mentioned the lack of money for transport to
find employment and 66.8% did not actively seek employment because no jobs were available in
the areas in which they reside. This reason highlights the mismatch between where people live
and work. No jobs available in the area in which they reside was the most frequently mentioned
response of Coloured males (41.6%).
A high percentage of Black African females (26.6%) also mentioned the lack of money for
transport. Both Black African (23.3%) and Coloured females (28.2%) remarked that family
considerations and responsibility limited them from seeking employment. This early involvement in
family responsibility may explain the high unemployment rate of young females.
The majority of White males (32.2%) mentioned that they were presently undergoing training to
help them find work. Of the White females 19.3% had no jobs available in the area in which they
reside as their reason for not looking for work. In the White group 74% gave ‘other reason’ as their
reason for not looking for work.
5
Conclusion
This general analysis of the September 2005 Labour Force Survey clearly shows the differences in
the characteristics and patterns of employment of the various population groups that constitute the
labour force of Cape Town
Statistics South Africa will be conducting future Labour Force Surveys at a metropolitan scale and
from 2008 on a quarterly basis rather than twice a year as at present. Results from future surveys
will provide accurate and up to date information at a city level from which time series analysis can
be developed in order to gauge the rate and pace of change of the Cape Town’s labour force and
economic sectors. The Labour Force Survey can provide an exceptionally useful tool to monitor
and evaluate the extent to which there is an increase of productive employment.
July 2007
Strategic Development Information and GIS Department
Page 19
September 2005 Labour Force Survey Analysis
Appendices
Appendix A – Employment status of those 15 years and older
Black
African
Coloured
Asian
White
Grand
Total
Male
Female
Total
Male
Female
Total
Male
Female
Total
Male
Female
Total
Male
Female
Total
Not Economically
Active
Number
%
75,327
3.27%
125,532
5.45%
200,859
8.72%
138,480
6.02%
251,750 10.94%
390,231 16.95%
0
0.00%
4,319
0.19%
4,319
0.19%
89,545
3.89%
123,178
5.35%
212,723
9.24%
303,353 13.18%
504,779 21.93%
808,132 35.10%
Employed
Number
%
183,640
7.98%
157,335
6.83%
340,976 14.81%
299,514 13.01%
242,553 10.54%
542,068 23.55%
6,320
0.27%
5,744
0.25%
12,064
0.52%
152,718
6.63%
137,240
5.96%
289,958 12.59%
642,192 27.90%
542,873 23.58%
1,185,065 51.48%
Unemployed
Number
%
79,798
3.47%
83,406
3.62%
163,204
7.09%
60,822
2.64%
65,945
2.86%
126,767
5.51%
2,810
0.12%
0
0.00%
2,810
0.12%
8,166
0.35%
8,026
0.35%
16,192
0.70%
151,595
6.58%
157,377
6.84%
308,972 13.42%
Total
Number
%
338,765
14.72%
366,273
15.91%
705,039
30.62%
498,816
21.67%
560,249
24.34%
1,059,065
46.00%
9,130
0.40%
10,063
0.44%
19,193
0.83%
250,429
10.88%
268,444
11.66%
518,873
22.54%
1,097,140
47.66%
1,205,029
52.34%
2,302,169 100.00%
Appendix B – Labour force absorption and participation rates
Black African
Coloured
Asian
White
Grand Total
July 2007
Male
Female
Total
Male
Female
Total
Male
Female
Total
Male
Female
Total
Male
Female
Total
Cape Town
Absorption Rate Participation Rate
54.15%
78.04%
43.88%
67.07%
48.86%
72.39%
62.84%
75.78%
46.37%
59.06%
54.19%
67.00%
69.22%
100.00%
61.47%
61.47%
65.30%
80.51%
64.50%
67.99%
57.48%
60.89%
60.98%
64.42%
60.49%
74.97%
48.05%
62.00%
54.06%
68.27%
Western Cape
Absorption Rate Participation Rate
56.50%
77.91%
42.13%
64.29%
49.34%
71.12%
63.72%
75.00%
45.90%
57.75%
54.28%
65.86%
69.70%
100.00%
60.53%
60.53%
65.06%
80.04%
65.98%
68.72%
56.62%
59.78%
61.25%
64.21%
62.13%
74.66%
47.15%
59.96%
54.41%
67.08%
Strategic Development Information and GIS Department
Page 20
Labour Force Survey September 2005 Analysis
Appendix C – Labour force by age and gender
Age Group
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
85+
Total Number
Total %
July 2007
Number
%
Number
%
Number
%
Number
%
Number
%
Number
%
Number
%
Number
%
Number
%
Number
%
Number
%
Number
%
Number
%
Number
%
Black African
Male
Female
Total
6,667
12,967
19,635
0.45%
0.87%
1.32%
63,435
41,317
104,751
4.26%
2.78%
7.04%
60,854
57,151
118,005
4.09%
3.84%
7.93%
55,732
54,105
109,837
3.75%
3.64%
7.38%
33,009
17,407
50,416
2.22%
1.17%
3.39%
14,004
16,936
30,940
0.94%
1.14%
2.08%
12,235
16,482
28,717
0.82%
1.11%
1.93%
4,661
13,004
17,665
0.31%
0.87%
1.19%
3,744
4,796
8,541
0.25%
0.32%
0.57%
5,019
3,820
8,838
0.34%
0.26%
0.59%
1,312
0
1,312
0.09%
0.00%
0.09%
0
1,618
1,618
0.00%
0.11%
0.11%
0
1,139
1,139
0.00%
0.08%
0.08%
0
0
0
0.00%
0.00%
0.00%
260,673
240,741
501,414
17.52%
16.18%
33.70%
Male
22,927
1.54%
49,442
3.32%
50,592
3.40%
62,324
4.19%
35,051
2.36%
42,044
2.83%
39,443
2.65%
35,329
2.37%
16,928
1.14%
2,128
0.14%
1,464
0.10%
0
0.00%
1,105
0.07%
1,560
0.10%
360,336
24.22%
Coloured
Female
22,379
1.50%
55,324
3.72%
40,490
2.72%
49,926
3.36%
40,955
2.75%
28,674
1.93%
42,335
2.85%
19,119
1.29%
7,716
0.52%
0
0.00%
0
0.00%
1,580
0.11%
0
0.00%
0
0.00%
308,498
20.74%
Total
45,306
3.05%
104,766
7.04%
91,082
6.12%
112,250
7.55%
76,007
5.11%
70,718
4.75%
81,777
5.50%
54,448
3.66%
24,644
1.66%
2,128
0.14%
1,464
0.10%
1,580
0.11%
1,105
0.07%
1,560
0.10%
668,834
44.96%
Male
791
0.05%
791
0.05%
1,229
0.08%
2,386
0.16%
1,985
0.13%
1,158
0.08%
0
0.00%
0
0.00%
791
0.05%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
9,130
0.61%
Asian
Female
0
0.00%
0
0.00%
1,229
0.08%
3,248
0.22%
1,267
0.09%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
5,744
0.39%
Strategic Development Information and GIS Department
Total
791
0.05%
791
0.05%
2,457
0.17%
5,634
0.38%
3,253
0.22%
1,158
0.08%
0
0.00%
0
0.00%
791
0.05%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
14,874
1.00%
Male
9,360
0.63%
7,354
0.49%
19,822
1.33%
9,121
0.61%
19,320
1.30%
18,382
1.24%
28,934
1.94%
19,173
1.29%
14,395
0.97%
9,787
0.66%
3,453
0.23%
0
0.00%
0
0.00%
0
0.00%
159,102
10.69%
White
Female
0
0.00%
11,850
0.80%
13,161
0.88%
24,146
1.62%
15,628
1.05%
28,218
1.90%
20,309
1.37%
19,642
1.32%
7,003
0.47%
3,529
0.24%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
143,485
9.64%
Total
9,360
0.63%
19,205
1.29%
32,982
2.22%
33,267
2.24%
34,947
2.35%
46,600
3.13%
49,243
3.31%
38,815
2.61%
21,398
1.44%
13,316
0.90%
3,453
0.23%
0
0.00%
0
0.00%
0
0.00%
302,587
20.34%
Grand
Total
75,092
5.05%
229,512
15.43%
244,526
16.44%
260,988
17.54%
164,623
11.07%
149,417
10.04%
159,738
10.74%
110,928
7.46%
55,373
3.72%
24,283
1.63%
6,229
0.42%
3,198
0.21%
2,243
0.15%
1,560
0.10%
1,487,709
100.00%
Page 21
Labour Force Survey September 2005 Analysis
Appendix D – Level of education of the employed
Education Level
No Schooling
Less than Grade 7
Grade 7 to 11
Matriculation
Diploma/Certificate
with less than
matriculation
Diploma/Certificate
with matriculation
Degree
Total Number
Total %
July 2007
Num
%
Num
%
Num
%
Num
%
Num
Black African
Male
Female
Total
4,124
2,759
6,884
0.36%
0.24%
0.59%
34,821
6,761
41,582
3.00%
0.58%
3.58%
74,484
70,871 145,355
6.42%
6.11% 12.53%
47,525
54,915 102,440
4.10%
4.73%
8.83%
3,446
3,446
%
0.00%
0.30%
0.30%
0.35%
0.16%
0.51%
0.00%
0.00%
0.00%
0.00%
0.14%
0.14%
0.95%
7,576
0.65%
10,615
0.91%
179,145
15.44%
6,827
0.59%
9,011
0.78%
154,590
13.32%
14,403
1.24%
19,625
1.69%
333,735
28.76%
14,985
1.29%
11,964
1.03%
290,411
25.03%
19,245
1.66%
6,067
0.52%
234,146
20.18%
34,230
2.95%
18,031
1.55%
524,557
45.21%
2,019
0.17%
1,985
0.17%
6,320
0.54%
1,229
0.11%
2,496
0.22%
5,744
0.50%
3,248
0.28%
4,481
0.39%
12,064
1.04%
44,185
3.81%
31,001
2.67%
152,718
13.16%
36,493
3.15%
19,589
1.69%
137,240
11.83%
80,679
6.95%
50,590
4.36%
289,958
24.99%
132,560
11.42%
92,727
7.99%
1,160,314
100.00%
Num
%
Num
%
Male
4,503
0.39%
30,516
2.63%
136,550
11.77%
87,782
7.57%
4,110
Coloured
Female
Total
0
4,503
0.00%
0.39%
23,524
54,040
2.03%
4.66%
100,286 236,836
8.64% 20.41%
83,174 170,957
7.17% 14.73%
1,850
5,960
Male
0
0.00%
0
0.00%
0
0.00%
2,315
0.20%
0
Asian
Female
0
0.00%
0
0.00%
0
0.00%
2,019
0.17%
0
0
0.00%
0
0.00%
21,130
1.82%
56,402
4.86%
0
White
Female
0
0.00%
0
0.00%
5,570
0.48%
73,994
6.38%
1,595
0
0.00%
0
0.00%
26,699
2.30%
130,395
11.24%
1,595
Grand
Total
11,387
0.98%
95,621
8.24%
408,891
35.24%
408,126
35.17%
11,001
Total
Male
0
0.00%
0
0.00%
0
0.00%
4,335
0.37%
0
Strategic Development Information and GIS Department
Total
Page 22
Labour Force Survey September 2005 Analysis
Appendix E - Occupations in the formal sector
Occupation
Legislators, senior
officials and
managers
Professionals
Technical and
associated
professionals
Clerks
Service workers
and shop and
market sales
workers
Skilled agricultural
and fishery workers
Craft and related
trade workers
Plant and machine
operators and
assemblers
Elementary
Occupation
Total Number
Total %
July 2007
Num
Black African
Male
Female Total
2,997
9,335
12,331
Male
15,238
Coloured
Female Total
7,595
22,832
Male
2,058
Asian
Female
3,287
Total
5,345
Male
58,487
White
Female
20,892
Total
79,379
Grand
Total
119,888
5.88%
30,363
3.05%
16,593
2.10%
10,995
1.10%
36,188
7.98%
41,358
4.16%
52,781
12.05%
77,137
7.75%
124,155
%
Num
%
Num
0.30%
4,937
0.50%
5,671
0.94%
3,304
0.33%
4,684
1.24%
8,242
0.83%
10,355
1.53%
16,151
1.62%
28,006
0.76%
9,440
0.95%
31,784
2.29%
25,590
2.57%
59,790
0.21%
1,947
0.20%
0.33%
0.00%
1,229
0.54%
1,947
0.20%
1,229
%
Num
%
Num
0.57%
7,249
0.73%
29,704
0.47%
10,420
1.05%
19,806
1.04%
17,669
1.78%
49,509
2.81%
38,302
3.85%
23,097
3.19%
67,087
6.74%
33,457
6.01%
105,389
10.59%
56,555
0.00%
0.00%
0.12%
1,229
0.12%
0.12%
1,229
0.12%
1.67%
8,902
0.89%
9,389
3.64%
49,621
4.99%
13,341
5.30%
58,523
5.88%
22,730
12.47%
182,810
18.37%
128,794
%
Num
%
Num
%
Num
2.98%
1,496
0.15%
45,362
4.56%
8,972
1.99%
2.32%
1,118
0.11%
65,494
6.58%
32,146
3.36%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.00%
0.94%
2,702
0.27%
10,664
1.07%
6,215
1.34%
0.00%
15,937
1.60%
21,299
5.68%
1,118
0.11%
81,431
8.18%
53,445
0.00%
0.00%
1,052
0.11%
2,932
4.97%
1,496
0.15%
46,415
4.66%
11,903
2.28%
2,702
0.27%
10,664
1.07%
6,215
12.94%
5,317
0.53%
138,510
13.92%
71,563
%
Num
%
0.90%
32,580
3.27%
138,969
13.96%
0.29%
27,269
2.74%
78,801
7.92%
1.20%
59,848
6.01%
217,770
21.88%
3.23%
57,583
5.79%
277,134
27.84%
2.14%
25,231
2.54%
211,830
21.28%
5.37%
82,814
8.32%
488,964
49.13%
0.00%
0.00%
0.00%
0.00%
0.00%
4,005
0.40%
0.00%
5,744
0.58%
0.00%
9,749
0.98%
0.62%
4,465
0.45%
147,780
14.85%
0.62%
4,465
0.45%
278,817
28.01%
7.19%
147,127
14.78%
995,300
100.00%
Strategic Development Information and GIS Department
0.00%
0.00%
0.00%
131,037
13.17%
Page 23
Labour Force Survey September 2005 Analysis
Appendix F - Occupations in the informal sector
Male
Num
Black African
Male
Female
Total
4,089
2,220
6,309
%
Num
3.26%
1,288
1.77%
1,141
5.03%
2,429
0.00%
1,046
2.30%
0
2.30%
1,046
0.00%
0
%
Num
%
Num
1.03%
0.91%
1.94%
0.83%
0.00%
8,981
0.00%
6,874
0.00%
15,855
0.00%
0
0.00%
1,046
0.83%
5,277
0.83%
1,046
0.83%
5,277
%
Num
%
Num
7.16%
8,548
6.81%
1,045
5.48%
2,853
2.27%
0
12.64%
11,401
9.09%
1,045
0.00%
7,756
6.18%
1,943
4.21%
%
Num
%
0.83%
19,257
15.35%
43,209
34.44%
0.00%
21,192
16.89%
34,279
27.32%
0.83%
40,448
32.24%
77,488
61.75%
1.55%
9,651
7.69%
20,396
16.25%
Occupation
Legislators, senior
officials and
managers
Technical and
associated
professionals
Clerks
Service workers and
shop and market
sales workers
Craft and related
trade workers
Plant and machine
operators and
assemblers
Elementary
Occupation
Total Number
Total %
July 2007
Coloured
Female
0
2,888
Male
0
White
Female
2,425
Total
2,425
Male
4,089
0.00%
0
0.00%
1,350
1.93%
0
1.93%
1,350
3.26%
3,683
6.00%
1,141
9.26%
4,824
0.00%
0.00%
1.08%
0.00%
0
0.00%
2,416
1.08%
2,514
2.00%
2,416
2.94%
0.00%
0
0.00%
2,514
2.00%
0
0.00%
11,398
0.91%
3,560
2.84%
12,151
3.84%
3,560
2.84%
23,549
0.00%
0.00%
1.93%
0.00%
2,601
4.21%
7,756
6.18%
4,543
0.00%
0
0.00%
0
0.00%
0
0.00%
1,264
1.01%
0
1.93%
1,264
1.01%
0
9.08%
16,305
12.99%
2,988
9.68%
4,116
3.28%
2,601
18.77%
20,421
16.27%
5,589
2.07%
2,327
1.85%
14,139
11.27%
3.62%
11,979
9.55%
34,535
27.52%
0.00%
2,315
1.85%
2,315
1.85%
0.00%
2,315
1.85%
2,315
1.85%
0.00%
1,171
0.93%
4,937
3.93%
0.00%
0
0.00%
6,203
4.94%
0.00%
1,171
0.93%
11,140
8.88%
2.38%
32,395
25.82%
70,857
56.47%
2.07%
23,519
18.74%
54,621
43.53%
4.45%
55,913
44.56%
125,478
100.00%
Total
2,888
Asian
Male
Total
0
0
Strategic Development Information and GIS Department
Grand Total
Female
Total
7,533
11,622
Page 24
Labour Force Survey September 2005 Analysis
Appendix G – Annual income of the employed
Income Group
R1 to R2,400
R2,401 to R6,000
R6,001 to R12,000
R12,001 to R18,000
R18,001 to R30,000
R30,001 to R42,000
R42,001 to R54,000
R54,001 to R72,000
R72,001 to R96,000
R96,001 to R132,000
R132,001 to R192,000
R192,001 to 360,000
Over R360,000
Total Number
Total %
July 2007
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Black African
Male
Female Total
939
1,835
2,774
0.10%
0.19%
0.28%
5,640
15,374
21,014
0.57%
1.56%
2.13%
35,959
66,455 102,414
3.65%
6.75% 10.40%
44,029
32,397
76,426
4.47%
3.29%
7.76%
54,476
18,157
72,633
5.53%
1.84%
7.38%
16,613
4,277
20,889
1.69%
0.43%
2.12%
8,658
808
9,466
0.88%
0.08%
0.96%
7,151
2,760
9,911
0.73%
0.28%
1.01%
2,792
1,335
4,127
0.28%
0.14%
0.42%
2,321
0
2,321
0.24%
0.00%
0.24%
1,527
400
1,927
0.16%
0.04%
0.20%
0
3,924
3,924
0.00%
0.40%
0.40%
0
5,262
5,262
0.00%
0.53%
0.53%
180,106 152,984 333,090
18.29% 15.54% 33.83%
Male
4,198
0.43%
4,971
0.50%
3,015
0.31%
17,429
1.77%
56,000
5.69%
44,174
4.49%
38,909
3.95%
28,925
2.94%
18,143
1.84%
17,149
1.74%
7,181
0.73%
2,628
0.27%
3,569
0.36%
246,293
25.01%
Coloured
Female Total
6,098
10,295
0.62%
1.05%
10,163
15,134
1.03%
1.54%
17,846
20,862
1.81%
2.12%
17,048
34,477
1.73%
3.50%
57,671 113,670
5.86% 11.54%
20,901
65,075
2.12%
6.61%
26,107
65,016
2.65%
6.60%
12,961
41,886
1.32%
4.25%
13,321
31,464
1.35%
3.20%
11,891
29,040
1.21%
2.95%
2,393
9,573
0.24%
0.97%
0
2,628
0.00%
0.27%
1,350
4,919
0.14%
0.50%
197,749 444,042
20.08% 45.09%
Male
0
0.00%
0
0.00%
0
0.00%
0
0.00%
2,315
0.24%
0
0.00%
791
0.08%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
3,106
0.32%
Asian
Female
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
791
0.08%
0
0.00%
0
0.00%
0
0.00%
791
0.08%
Strategic Development Information and GIS Department
Total
Male
0
0.00%
0
0.00%
0
0.00%
0
0.00%
2,315
0.24%
0
0.00%
791
0.08%
0
0.00%
0
0.00%
791
0.08%
0
0.00%
0
0.00%
0
0.00%
3,897
0.40%
0
0.00%
1,350
0.14%
0
0.00%
4,574
0.46%
2,944
0.30%
0
0.00%
2,727
0.28%
5,356
0.54%
17,184
1.75%
27,354
2.78%
22,284
2.26%
14,981
1.52%
4,658
0.47%
103,413
10.50%
White
Female
0
0.00%
905
0.09%
1,921
0.20%
1,466
0.15%
7,760
0.79%
15,118
1.54%
7,227
0.73%
13,347
1.36%
13,888
1.41%
17,884
1.82%
9,185
0.93%
11,564
1.17%
0
0.00%
100,265
10.18%
Total
0
0.00%
2,254
0.23%
1,921
0.20%
6,041
0.61%
10,705
1.09%
15,118
1.54%
9,954
1.01%
18,703
1.90%
31,072
3.16%
45,238
4.59%
31,469
3.20%
26,545
2.70%
4,658
0.47%
203,678
20.68%
Grand
Total
13,069
1.33%
38,403
3.90%
125,197
12.71%
116,944
11.88%
199,323
20.24%
101,082
10.27%
85,227
8.66%
70,501
7.16%
66,663
6.77%
77,390
7.86%
42,969
4.36%
33,098
3.36%
14,840
1.51%
984,707
100.00%
Page 25
Labour Force Survey September 2005 Analysis
Appendix H – Formal industrial sector
Industry
Agriculture, hunting,
forestry and fishing
Manufacturing
Electricity, gas and
water supply
Construction
Wholesale and retail
trade
Transport, storage and
communication
Financial, insurance,
real estate and business
services
Community, social and
personal services
Total Number
Total %
July 2007
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Black African
Male
Female
3,746
2,341
0.38%
0.24%
19,984 10,259
2.01%
1.03%
0
0
0.00%
0.00%
39,900
1,457
4.01%
0.15%
29,862 36,073
3.00%
3.62%
6,964
1,394
0.70%
0.14%
19,841
8,578
1.99%
18,671
1.88%
138,969
13.96%
0.86%
18,700
1.88%
78,801
7.92%
Total
6,087
0.61%
30,243
3.04%
0
0.00%
41,356
4.16%
65,935
6.62%
8,358
0.84%
28,419
Male
0
0.00%
61,224
6.15%
4,910
0.49%
38,521
3.87%
65,076
6.54%
24,639
2.48%
38,264
2.86%
37,371
3.75%
217,770
21.88%
3.84%
44,501
4.47%
277,134
27.84%
Coloured
Female
Total
0
0
0.00%
0.00%
61,046 122,270
6.13% 12.28%
0
4,910
0.00%
0.49%
3,102
41,623
0.31%
4.18%
54,350 119,427
5.46% 12.00%
9,486
34,125
0.95%
3.43%
36,048
74,311
Male
0
0.00%
718
0.07%
0
0.00%
0
0.00%
791
0.08%
0
0.00%
2,496
3.62%
47,799
4.80%
211,830
21.28%
0.25%
0
0.00%
4,005
0.40%
7.47%
92,299
9.27%
488,964
49.13%
Asian
Female
0
0.00%
0.00%
0
0.00%
0
0.00%
2,496
0.25%
0
0.00%
1,229
Total
0
0.00%
718
0.07%
0
0.00%
0
0.00%
3,287
0.33%
0
0.00%
3,725
0.12%
2,019
0.20%
5,744
0.58%
0.37%
2,019
0.20%
9,749
0.98%
Strategic Development Information and GIS Department
0
0.00%
24,663
2.48%
2,425
0.24%
7,255
0.73%
36,032
3.62%
6,302
0.63%
39,927
White
Female
0
0.00%
22,101
2.22%
0
0.00%
0
0.00%
35,926
3.61%
9,819
0.99%
30,791
0
0.00%
46,765
4.70%
2,425
0.24%
7,255
0.73%
71,959
7.23%
16,122
1.62%
70,718
Grand
Total
6,087
0.61%
199,996
20.09%
7,335
0.74%
90,234
9.07%
260,607
26.18%
58,604
5.89%
177,173
4.01%
31,175
3.13%
147,780
14.85%
3.09%
32,399
3.26%
131,037
13.17%
7.11%
63,574
6.39%
278,817
28.01%
17.80%
195,264
19.62%
995,300
100.00%
Male
Total
Page 26
Labour Force Survey September 2005 Analysis
Appendix I – Unemployment by age, population group and gender
Age
15-19
Num
%
20-24
Num
%
25-29
Num
%
30-34
Num
%
35-39
Num
%
40-44
Num
%
45-59
Num
%
50-54
Num
%
55-59
Num
%
60-64
Num
%
65-69
Num
%
75-79
Num
%
Total Number
Total %
July 2007
Black African
Male
Female
Total
4,435
9,803
14,237
1.44%
3.17%
4.61%
30,768 23,798
54,566
9.96%
7.70% 17.66%
21,221 23,029
44,250
6.87%
7.45% 14.32%
7,837 11,993
19,830
2.54%
3.88%
6.42%
4,518
4,680
9,198
1.46%
1.51%
2.98%
2,495
2,104
4,599
0.81%
0.68%
1.49%
4,322
3,670
7,992
1.40%
1.19%
2.59%
0
3,190
3,190
0.00%
1.03%
1.03%
1,480
0
1,480
0.48%
0.00%
0.48%
1,411
0
1,411
0.46%
0.00%
0.46%
1,312
0
1,312
0.42%
0.00%
0.42%
0
1,139
1,139
0.00%
0.37%
0.37%
79,798 83,406 163,204
25.83% 26.99% 52.82%
Male
14,415
4.67%
16,319
5.28%
7,158
2.32%
4,328
1.40%
5,233
1.69%
8,077
2.61%
2,175
0.70%
1,647
0.53%
1,471
0.48%
0
0.00%
0
0.00%
0
0.00%
60,822
19.69%
Coloured
Female
Total
12,055
26,470
3.90%
8.57%
15,116
31,435
4.89% 10.17%
9,637
16,795
3.12%
5.44%
6,370
10,698
2.06%
3.46%
8,400
13,634
2.72%
4.41%
5,902
13,979
1.91%
4.52%
5,084
7,259
1.65%
2.35%
3,379
5,026
1.09%
1.63%
0
1,471
0.00%
0.48%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
65,945 126,767
21.34% 41.03%
Asian
Male
Total
791
791
0.26% 0.26%
791
791
0.26% 0.26%
0
0
0.00% 0.00%
1,229 1,229
0.40% 0.40%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
2,810 2,810
0.91% 0.91%
Male
0
0.00%
0
0.00%
4,614
1.49%
0
0.00%
1,688
0.55%
0
0.00%
1,864
0.60%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
8,166
2.64%
White
Female
0
0.00%
0
0.00%
0
0.00%
3,311
1.07%
1,129
0.37%
0
0.00%
1,094
0.35%
2,492
0.81%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
8,026
2.60%
Strategic Development Information and GIS Department
Total
0
0.00%
0
0.00%
4,614
1.49%
3,311
1.07%
2,817
0.91%
0
0.00%
2,957
0.96%
2,492
0.81%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
16,192
5.24%
Male
19,640
6.36%
47,877
15.50%
32,993
10.68%
13,393
4.33%
11,439
3.70%
10,572
3.42%
8,361
2.71%
1,647
0.53%
2,950
0.95%
1,411
0.46%
1,312
0.42%
0
0.00%
151,595
49.06%
Grand Total
Female
Total
21,858
41,498
7.07%
13.43%
38,914
86,791
12.59%
28.09%
32,667
65,660
10.57%
21.25%
21,674
35,067
7.01%
11.35%
14,210
25,649
4.60%
8.30%
8,007
18,578
2.59%
6.01%
9,848
18,208
3.19%
5.89%
9,062
10,709
2.93%
3.47%
0
2,950
0.00%
0.95%
0
1,411
0.00%
0.46%
0
1,312
0.00%
0.42%
1,139
1,139
0.37%
0.37%
157,377 308,972
50.94% 100.00%
Page 27
Labour Force Survey September 2005 Analysis
Appendix J – Length of time unemployed
Time unemployed
Less than 1 month
1 to 2 months
2 to 3 months
3 to 4 months
4 to 5 months
6 to 12 months
1 to 3 years
Over 3 years
Total Number
Total %
July 2007
Data
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Black African
Male
Female Total
12,813
9,596
22,409
4.35%
3.26%
7.61%
3,991
1,519
5,510
1.36%
0.52%
1.87%
3,257
1,529
4,785
1.11%
0.52%
1.63%
7,248
1,168
8,416
2.46%
0.40%
2.86%
2,406
1,759
4,164
0.82%
0.60%
1.42%
12,666 15,779
28,445
4.30%
5.36%
9.67%
21,028 22,873
43,901
7.14%
7.77% 14.92%
15,516 27,283
42,799
5.27%
9.27% 14.54%
78,924 81,504 160,428
26.82% 27.69% 54.51%
Male
3,397
1.15%
4,714
1.60%
2,211
0.75%
3,267
1.11%
9,163
3.11%
10,699
3.64%
15,900
5.40%
9,377
3.19%
58,728
19.96%
Coloured
Female Total
2,804
6,201
0.95%
2.11%
9,593
14,307
3.26%
4.86%
1,405
3,616
0.48%
1.23%
4,478
7,745
1.52%
2.63%
6,561
15,723
2.23%
5.34%
7,753
18,452
2.63%
6.27%
11,056
26,956
3.76%
9.16%
14,717
24,094
5.00%
8.19%
58,367 117,095
19.83% 39.79%
Asian
Male
Total
1,581 1,581
0.54% 0.54%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
1,229 1,229
0.42% 0.42%
0
0
0.00% 0.00%
2,810 2,810
0.95% 0.95%
Male
0
0.00%
1,688
0.57%
0
0.00%
4,614
1.57%
0
0.00%
0
0.00%
0
0.00%
1,864
0.63%
8,166
2.77%
Strategic Development Information and GIS Department
White
Female
0
0.00%
0
0.00%
2,492
0.85%
0
0.00%
0
0.00%
0
0.00%
3,311
1.12%
0
0.00%
5,803
1.97%
Total
0
0.00%
1,688
0.57%
2,492
0.85%
4,614
1.57%
0
0.00%
0
0.00%
3,311
1.12%
1,864
0.63%
13,969
4.75%
Grand
Total
30,191
10.26%
21,504
7.31%
10,894
3.70%
20,776
7.06%
19,888
6.76%
46,897
15.94%
75,396
25.62%
68,757
23.36%
294,302
100.00%
Page 28
Labour Force Survey September 2005 Analysis
Appendix K – Education level of the unemployed
Level of education
None
Grade 0 to 7
Grade 8 to 11
Matriculation
NTC I to III
Diploma or
Certificate
Degree
Other
Total Number
Total %
July 2007
Data
Num
%
Num
%
Num
%
Num
%
Num
%
Male
1,411
0.46%
18,012
5.83%
39,443
12.77%
19,404
6.28%
0
0.00%
African
Female
1,175
0.38%
9,718
3.15%
52,709
17.06%
19,805
6.41%
0
0.00%
Total
2,586
0.84%
27,730
8.97%
92,152
29.83%
39,209
12.69%
0
0.00%
Num
%
Num
%
Num
%
0
0.00%
1,527
0.49%
0
0.00%
79,798
25.83%
0
0.00%
0
0.00%
0
0.00%
83,406
26.99%
0
0.00%
1,527
0.49%
0
0.00%
163,204
52.82%
0
0.00%
11,704
3.79%
39,578
12.81%
9,539
3.09%
0
0.00%
Coloured
Female
Total
0
0
0.00%
0.00%
16,623
28,326
5.38%
9.17%
28,401
67,979
9.19% 22.00%
18,993
28,532
6.15%
9.23%
0
0
0.00%
0.00%
Asian
Male
Total
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
791
791
0.26% 0.26%
Male
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
White
Female
0
0.00%
0
0.00%
2,492
0.81%
5,534
1.79%
0
0.00%
Total
0
0.00%
0
0.00%
2,492
0.81%
5,534
1.79%
0
0.00%
Grand
Total
2,586
0.84%
56,056
18.14%
162,624
52.63%
73,275
23.72%
791
0.26%
0
0.00%
0
0.00%
0
0.00%
60,822
19.69%
1,929
0.62%
0
0.00%
0
0.00%
65,945
21.34%
1,229
0.40%
0
0.00%
791
0.26%
2,810
0.91%
0
0.00%
3,551
1.15%
4,614
1.49%
8,166
2.64%
0
0.00%
0
0.00%
0
0.00%
8,026
2.60%
0
0.00%
3,551
1.15%
4,614
1.49%
16,192
5.24%
3,158
1.02%
5,079
1.64%
5,405
1.75%
308,972
100.00%
Male
1,929
0.62%
0
0.00%
0
0.00%
126,767
41.03%
1,229
0.40%
0
0.00%
791
0.26%
2,810
0.91%
Strategic Development Information and GIS Department
Page 29
Labour Force Survey September 2005 Analysis
Appendix L – Previous occupation of the unemployed
Previous occupation
Legislators, senior officials
and managers
Technical and associated
professionals
Clerks
Service workers, shop and
market sales workers
Skilled agricultural and
fishery workers
Craft and related trade
workers
Plant and machine
operators and assemblers
Elementary occupation
Domestic workers
Total Number
Total %
July 2007
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Black African
Male
Female
Total
0
0
0
0.00%
0.00%
0.00%
0
0
0
0.00%
0.00%
0.00%
0
1,555
1,555
0.00%
0.87%
0.87%
13,660
8,516 22,176
7.65%
4.77% 12.42%
1,191
0
1,191
0.67%
0.00%
0.67%
3,921
0
3,921
2.20%
0.00%
2.20%
4,141
0
4,141
2.32%
0.00%
2.32%
17,560 10,641 28,201
9.83%
5.96% 15.79%
0
8,143
8,143
0.00%
4.56%
4.56%
40,472 28,855 69,328
22.66% 16.16% 38.82%
Male
0
0.00%
0
0.00%
5,616
3.14%
3,485
1.95%
0
0.00%
10,517
5.89%
7,989
4.47%
15,535
8.70%
0
0.00%
43,142
24.16%
Coloured
Female
Total
0
0
0.00%
0.00%
2,778
2,778
1.56%
1.56%
10,675 16,291
5.98%
9.12%
7,857 11,342
4.40%
6.35%
0
0
0.00%
0.00%
3,952 14,468
2.21%
8.10%
3,493 11,481
1.96%
6.43%
19,986 35,521
11.19% 19.89%
1,806
1,806
1.01%
1.01%
50,547 93,688
28.31% 52.46%
Asian
Male
Total
1,229
1,229
0.69%
0.69%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
1,229
1,229
0.69%
0.69%
Strategic Development Information and GIS Department
Male
0
0.00%
6,302
3.53%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
6,302
3.53%
White
Female
1,129
0.63%
5,803
3.25%
1,094
0.61%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
8,026
4.49%
Grand
Total
Total
1,129
0.63%
12,106
6.78%
1,094
0.61%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
14,328
8.02%
2,358
1.32%
14,884
8.33%
18,940
10.61%
33,518
18.77%
1,191
0.67%
18,389
10.30%
15,623
8.75%
63,722
35.68%
9,949
5.57%
178,573
100.00%
Page 30
Labour Force Survey September 2005 Analysis
Appendix M – Discouraged work seekers by age
Age group
15-19
Num
%
20-24
Num
%
25-29
Num
%
30-34
Num
%
35-39
Num
%
40-44
Num
%
45-49
Num
%
50-54
Num
%
55-59
Num
%
60-64
Num
%
65-69
Num
%
75-79
Num
%
Total Number
Total %
July 2007
Male
0
0.00%
5,158
3.99%
4,141
3.20%
0
0.00%
0
0.00%
1,300
1.01%
0
0.00%
638
0.49%
1,545
1.19%
0
0.00%
0
0.00%
0
0.00%
12,783
9.88%
Black African
Female
Total
575
575
0.44%
0.44%
9,831 14,989
7.60% 11.59%
0
4,141
0.00%
3.20%
2,687
2,687
2.08%
2.08%
6,181
6,181
4.78%
4.78%
760
2,059
0.59%
1.59%
941
941
0.73%
0.73%
0
638
0.00%
0.49%
1,284
2,830
0.99%
2.19%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
0
0
0.00%
0.00%
22,260 35,042
17.21% 27.09%
Male
4,659
3.60%
3,836
2.97%
5,641
4.36%
907
0.70%
799
0.62%
0
0.00%
2,432
1.88%
2,233
1.73%
2,472
1.91%
1,118
0.86%
973
0.75%
0
0.00%
25,071
19.38%
Coloured
Female
Total
15,969 20,628
12.35% 15.95%
5,793
9,630
4.48%
7.45%
7,923 13,563
6.13% 10.49%
8,524
9,431
6.59%
7.29%
3,477
4,277
2.69%
3.31%
3,394
3,394
2.62%
2.62%
3,547
5,980
2.74%
4.62%
1,356
3,590
1.05%
2.78%
4,623
7,095
3.57%
5.49%
0
1,118
0.00%
0.86%
0
973
0.00%
0.75%
973
973
0.75%
0.75%
55,579 80,649
42.97% 62.35%
Asian
Female Total
791
791
0.61% 0.61%
791
791
0.61% 0.61%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
1,581 1,581
1.22% 1.22%
Male
1,921
1.49%
2,338
1.81%
0
0.00%
0
0.00%
2,022
1.56%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
6,281
4.86%
White
Female
0
0.00%
4,675
3.61%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
1,116
0.86%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
5,791
4.48%
Strategic Development Information and GIS Department
Total
1,921
1.49%
7,013
5.42%
0
0.00%
0
0.00%
2,022
1.56%
0
0.00%
0
0.00%
1,116
0.86%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
12,072
9.33%
Male
6,580
5.09%
11,332
8.76%
9,782
7.56%
907
0.70%
2,821
2.18%
1,300
1.01%
2,432
1.88%
2,872
2.22%
4,018
3.11%
1,118
0.86%
973
0.75%
0
0.00%
44,134
34.12%
Grand Total
Female
Total
17,335
23,915
13.40%
18.49%
21,091
32,423
16.31%
25.07%
7,923
17,705
6.13%
13.69%
11,211
12,118
8.67%
9.37%
9,659
12,480
7.47%
9.65%
4,153
5,453
3.21%
4.22%
4,488
6,920
3.47%
5.35%
2,472
5,344
1.91%
4.13%
5,907
9,925
4.57%
7.67%
0
1,118
0.00%
0.86%
0
973
0.00%
0.75%
973
973
0.75%
0.75%
85,211 129,345
65.88% 100.00%
Page 31
Labour Force Survey September 2005 Analysis
Appendix N – Discouraged work seekers not seeking work
Why not looking for work
Ill Health, injury, physical
disability
Pregnancy
Family considerations,
child care
Undergoing training to
help find work
No jobs available in the
area
Lack of money for
transport to look for work
Unable to find work
requiring their skills
Lost hope of finding any
kind of work
No transport available
Other reason
Total Number
Total %
July 2007
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Num
%
Male
1,841
1.42%
0
0.00%
1,785
1.38%
African
Female
1,284
0.99%
2,282
1.76%
5,194
4.02%
Total
3,125
2.42%
2,282
1.76%
6,979
5.40%
Male
3,582
2.77%
0
0.00%
0
0.00%
0
0.00%
2,141
1.66%
4,368
3.38%
0
0.00%
1,643
1.27%
0
0.00%
1,005
0.78%
12,783
9.88%
0
0.00%
1,570
1.21%
5,911
4.57%
0
0.00%
4,462
3.45%
0
0.00%
1,557
1.20%
22,260
17.21%
0
0.00%
3,711
2.87%
10,279
7.95%
0
0.00%
6,105
4.72%
0
0.00%
2,562
1.98%
35,042
27.09%
1,237
0.96%
10,426
8.06%
1,266
0.98%
0
0.00%
1,077
0.83%
1,177
0.91%
6,305
4.87%
25,071
19.38%
Coloured
Female
Total
7,011 10,593
5.42%
8.19%
2,246
2,246
1.74%
1.74%
15,657 15,657
12.10% 12.10%
2,175
1.68%
6,629
5.13%
3,050
2.36%
992
0.77%
2,563
1.98%
0
0.00%
15,256
11.79%
55,579
42.97%
3,412
2.64%
17,055
13.19%
4,316
3.34%
992
0.77%
3,641
2.81%
1,177
0.91%
21,561
16.67%
80,649
62.35%
Asian
Female Total
791
791
0.61% 0.61%
0
0
0.00% 0.00%
0
0
0.00% 0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
791
0.61%
1,581
1.22%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
791
0.61%
1,581
1.22%
Male
0
0.00%
0
0.00%
0
0.00%
White
Female
0
0.00%
0
0.00%
0
0.00%
Total
0
0.00%
0
0.00%
0
0.00%
Grand
Total
14,508
11.22%
4,528
3.50%
22,635
17.50%
2,022
1.56%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
4,259
3.29%
6,281
4.86%
0
0.00%
1,116
0.86%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
4,675
3.61%
5,791
4.48%
2,022
1.56%
1,116
0.86%
0
0.00%
0
0.00%
0
0.00%
0
0.00%
8,934
6.91%
12,072
9.33%
5,434
4.20%
21,882
16.92%
14,594
11.28%
992
0.77%
9,746
7.53%
1,177
0.91%
33,848
26.17%
129,345
100.00%
Strategic Development Information and GIS Department
Page 32