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Appendix tables


Appendix tables

Table 1: Population by sex and urban/rural

Demographic Group

Population

% of Total Population

Urban Male

231 435

16.4%

Urban Female

224,405

15.9%

Rural Male

454,892

32.3%

Rural Female

499,188

35.4%

TOTAL

1,409,920

100 %

Table 2: Male and female as a percent of population .

 

Male

Female

Urban Population

50.8%

49.2%

Rural Population

47.7%

52.3%

TOTAL POPULATION

48.7%

51.3%

Table 3: Population by geographic area, sex and urban/rural

Area

% Urban Male

%Urban Female

% Rural Male

% Rural Female

Total Population

North

4.3%

5.0%

41.6%

49.1%

829,220

Central

35.55%

33.55%

17,0%

13.9%

390,752

West and

29.9 %

27.3 %

22.7%

20.1 %

189,948

TOTAL

16.4%

15.9%

32.3 %

35.4%

1,409,920

Table 4: Population by sex and communal/commercial

Area

% Female

% Male

Total Population |

Communal

53.3%

46.7%

983;621

Commercial

46.7%

53.3%

426,299

Table 5: Population by communal/commercial and urban/rural

 

% Urban

% Rural

Total Population

Communal Areas

53.3 %

46.7 %

983,621

Commercial Areas

46.7 %

53.3 %

426,299

Table 6: Female population by communal/commercial .

Area

Female Population

% of Female Population

Communal Areas

524,556

72.5%

Commercial Areas

199,037

27.5%

TOTAL

723 593

100.0%

Table 7: Local Authority Elections by gender, 1992

Area

Candidates

Women

% Women of total

Total Seats filled

Women

% Women of total

Municipalities

417

147

35.3 %

110

29

26.4 %

Towns

224

83

37.1 %

84

28

33.3 %

Villages

365

152

41.6%

168

57

33.9%

TOTAL

1006

382

38.0%

362

114

31.5%

Table 8: Regional Council Elections by gender, 1992

REGION

No. of Candidates

No. of Women

No. of Seats

No. of Women

Caprivi

15

0

6

0

Erongo

16

1

6

0

Hardap

17

1

6

0

Karas

13

1

6

1

Khomas

22

5

9

1

Kunene

15

0

6

0

Ohangwena

18

2

10

1

Okavango

12

0

6

0

Omaheke

17

0

6

0

Omusati

15

1

9

0

Oshana

19

0

9

0

Oshikoto

14

1

10

0

Otjozondjupa

15

0

6

0

TOTAL

208

12 (5.8%)

95

3 (3.2%)

Table 9: Women in management positions in ministries concerned with rural development

Ministry

Women

Men

Total

Ministry of Agriculture, Water and Rural Development

1

17

18

Ministry of Lands, Resettlement and Rehabilitation

2

7

9

Ministry of Environment and Tourism

0

14

14

Ministry of Regional and Local Government and Housing

3

9

12

Table 10: Marital status of the population aged 15 years and over

Marital Status

Male

Female

Total

 

Rural %

Total %

Rural %

Total %

Rural %

Total %

Never Married

54.3

54.6 %

41.0 %

45.3 %

47.1 %

49.8 %

Married Legally

28.4

29.7 %

30.6 %

29.5 %

29.6 %

29.6 %

Married Consensually

12.7

11.7%

13.5%

12.6%

13.1 %

12.2%

Separated

1.0

0.8%

2.2%

1.7%

1.6%

1.3%

Divorced

1.3

1.3 %

3.3 %

2.9 %

2.4 %

2.1 %

Widowed

1.3

1.2%

9.0%

7.5%

5.5%

4.4%

Not Stated

1.0

0.7%

0.4%

0.5%

0.7%

0.6%

TOTAL

100

100

100 %

100 %

100 %

100 %

TOTAL NUMBER

234,924

393,518

279,569

428,015

514,493

821,533

Table 11: Security on the land by region and land tenure

 

Owambo Cuvelai

Ow. Non Cuvelai

Kavango

Caprivi

Other CAs

Land Owners

Farm Workers

Urban

CA Average

Can anyone lake your land?

25%

32%

4%

5%

3%

15%

14%

50%

14%

 

Owambo Cuvelai

Ow. Non Cuvelai

Kavango

Caprivi

Other CAs

Land Owners

Farm Workers

Urban

CA Average

Under what circumstances could someone take your land?

Government redist.

17%

28%

20%

19%

55%

25%

44%

28%

28%

Male head of hh dies

60%

49%

23%

14%

5%

4%

9%

12%

30%

Cannot repay loan

3%

4%

1%

2%

2%

23%

7%

20%

2%

Problems w/headman

9%

8%

4%

8%

8%

6%

4%

4%

7%

Divorce

-

-

6%

6%

5%

1%

-

2%

3%

Other

-

4%

-

-

9%

20%

17%

20%

5%

NOBODY CAN

10%

8%

47%

52%

17%

21%

19%

14%

27%

Table 12: Poverty and stratification in the Okavango Region (percent)

Group

All HHs

Female- headed HHs

Kangongo

Mpungu

Sikondo

Mabushe

Omuramba

Food insecure1

40

72

40

36

16

57

50

Generally poor2

13

6

10

13

20

13

10

Income sufficient3

47

22

50

51

64

30

40

1The food insecure - those whose poverty is so great that they are unable to meet even their basic food needs

2The generally poor - those who have insufficient income to meet their general basic needs but who are able to meet basic food needs. Many of these households will be close to food insecurity and drought, for example, would present a significant threat to many in this group.

3The income sufficient - those with income sufficient to meet all their basic needs. As basic needs imply none of the luxuries which most of us would require (e.g., transport or entertainment), income sufficiency does not mean that development assistance is not required, merely that there are those whose needs are more acute.

Table 13: Household head by sex of head, urban/rural

Household head*

Rural

Urban

Total

Total No. of Households

Male

57.1 %

68.0%

60.7 %

154,466

Female

42.9%

32.0%

39.3%

99,923

TOTAL

100.0 %

100.0%

100.0 %

254,389

*The Census defined the head of the household as "the person, male or female, who was recognised as such by the household members. He or she was usually responsible for the upkeep and maintenance of the household. If the usual head of the household was absent on the Census Night, the person (male or female) who took charge of the household during his or her absence was regarded as the head and relationships of all household members were specified in terms of that person."

Table 14: Household head by urban/rural, sex of head

Area

Male Headed

Female Headed

Total

Total No. of Households

Urban

37.2%

27.0%

33.2%

84,539

Rural

62.8%

73.0%

66.8%

169,850

TOTAL

100.0%

100.0%

100.0%

254,389

Note: The household population excludes institutional population (those in hotels, hospitals, hostels, orphanages, prisons and the homeless).

Table 15: Types of households by region

Region

Type of Household

 

Extended family

Nuclear family

Male- centred

Female centred

Eastern Communal

45 %

16 %

8%

31 %

Southern Communal

32%

37%

13.5%

17.5%

Okavango

58%

42%

59%

41%

Owambo (Ombalantu)

64 %

36 %

49 %

51%

Table 16: Proportion of household heads without a spouse (percent)

 

Male Headed

Female Headed

Proportion of sex totals

30.6%

95.0%

Of total without spouse

33.2%

66.8%

Of all households

18.6%

37.3%

Table 17: Household heads without a spouse as a percentage of all households by agro-ecological zone

Agro-ecological zone

Male Headed

Female Headed

Total

NORTH Communal

12.4%

47.8%

60.2%

CENTRAL

     

Commercial

27.3 %

20.3 %

47.6 %

Communal

28.3 %

35.8 %

64.1 %

WEST AND SOUTH

     

Commercial

25.9%

22.8%

48.7%

Communal

27.7%

36.7%

64.4%

NATIONAL

24.32%

32.7%

57.0%

Table 18: Household heads by sex and marital status, urban/rural (percent)

Marital Status

National

Urban

Rural

 

Total

Male

Female

Total

Male

Female

Total

Male

Female

Never married

19.6

15.7

25.7

27.3

18.0

47.0

15.8

14.4

17.8

Married legally

46 0

57.2

28.6

46 7

60.3

17 8

45.6

55 4

32.5

Married consensually

17.8

22.0

11.2

15.7

18.0

10.9

18.8

24.5

11.3

Separated

2.3

1.1

4.2

1.0

0.6

1.9

3.0

1.4

5.0

Divorced

4 0

1 8

7.4

3.5

1 7

7.4

4 3

2.0

7.4

Widowed

10.0

1.7

22 6

5.6

1.3

14.9

12.1

2.0

25.5

Not stated

0 3

0 3

0 3

0.2

0 2

0.1

0.4

0.4

0.4

Table 19: Household heads by sex and educational attainment, urban/rural (percent) .

Educational Attainment

National

Urban

Rural

 

Total

Male

Female

Total

Male

Female

Total

Male

Female

No schooling

35.1

32 8

38.8

13.8

12.9

15.8

45 7

44.6

47.3

Primary

32.1

31.3

33.4

24.8

23.8

27.1

35.7

35.7

35.8

Secondary

27.4

29.0

24.9

49.3

49.0

49.8

16.5

17.1

15.6

Technical/ Vocational

2.3

3.1

1.1

5.4

6.5

3.1

0.8

1.1

0.3

Teacher Training

1.1

1.2

1.1

1.9

1.8

1.9

0.8

0.8

0.7

University

1.8

2.5

0.7

4.7

5.9

2.2

0.3

0.5

0.1

Not stated

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

Table 20: Gender composition of productive adults (age 15-59) by location type

Type of location

% of Males

% of Females

Rural Community

42%

58%

Rural Town

48%

52%

Urban Township

57%

43%

Table 21: Mean household size by sex of household head and urban/rural

 

Mean Size

URBAN

4.7

Male Headed

4.7

Female Headed

4.8

RURAL

5.4

Male Headed

5.4

Female Headed

5.4

TOTAL

5.2

Male Headed

5.1

Female Headed

5.3

Table 22: Female population by number of children born

Age Group

Women Legally Married

Average # of Children ever Born Live

Women Never Married

Average # of Children ever Born Live

15-19

2,210

0.8

51,349

1.1

20-24

6,577

1.8

27,162

0.8

25-29

10,670

2.8

14,823

1.7

30-34

11,781

4.3

7,014

2.9

35-39

10,412

5.4

3,891

3.9

40-44

9,835

6.5

2,497

4.6

45-49

8,233

6.9

1,816

4.9

Table 23: Rural households by sex, size of household and number of employed persons (percent)

Number of Employed Persons

Total

Size of Household

   

1

2

3

4

5

6-7

8-9

10

All heads
0

18.4

29.6

24.6

22.6

19.9

17.8

15.3

12.6

8.9

1

44.6

70.4

48.2

49.2

48.5

45.9

41.3

34.5

25.2

2

23.4

 

27.3

24.1

23.5

26.4

28.3

28.6

24.4

3

7 8

   

6.9

5.2

6.9

9.8

14.5

16.8

4

3.1

     

2.9

1.9

3.4

5.7

10.5

5+

2.6

       

1.2

1.8

4.1

14.1

Male heads
0

12.9

22.4

15.7

14.0

12.6

11.5

11.3

10.0

6.9

1

41 9

77.6

46.5

44.3

43.1

39.7

34.7

30.0

22.9

2

28.4

 

37.8

30.5

32.1

34.6

34.6

31.6

24.5

3

9 3

   

11.2

7.3

9.1

12.1

16.4

17.2

4

4 0

     

5.0

2.9

4.6

6.8

11.7

5+

3.5

       

2.1

2.7

5.3

16.7

Female heads
0

25.7

48.7

39.3

32.4

27.7

24.5

19.6

16.0

12.4

1

48.3

51.3

50.9

54.8

54.3

52.3

48.6

40.6

29.3

2

16.8

 

9.8

10.9

14.4

17.7

21.4

24.8

24.3

3

5 9

   

1.9

30.

4.6

7.4

11.9

16.1

4

2.0

     

0.6

0.8

2.2

4.4

8.4

5+

1.4

       

0.2

0.8

2.4

9.4

Table 24: Sources of income to rural households by percent of households with access and region

FOR CASH

Ov-Cuv

Ov-NC

Kav

Cap

Other

Land

FrmWk

Urban

CA Average

Wages/pensions

40 %

33 %

39 %

41 %

38 %

99 %

94 %

91 %

38 %

Pensions

27%

33%

14%

17%

27%

3%

2%

8%

24%

Casual work

5%

3%o

13%

15%

4%

5%

8%

17%

16%

Remittances

32%

22%

9%

13%

9%

4%

5%

8%

17%

Small enterprise

22 %

17 %

17 %

32 %

5 %

4 %

4 %

4 %

18 %

Sales

33%

35%

54%

52%

63%

8%

5%

47%

 

Service trade

2%

1%

3%

7%

3%

1%

0%

5%

3%

Other ( ie rents)

2 %

0 %

2 %

2 %

7 %

1 %

0 %

1 %

3 %

FOR CASH and/or SUBSISTENCE

Crop Production

90%

98%

94%

89%

19%

15%

7%

10%

78%

Livestock Production

80 %

85 %

84 %

82 %

87 %

97 %

43 %

34 %

84 %

Hunting, gathering, fishing

11 %

7 %

51 %

27 %

19 %

24 %

7 %

10 %

23 %

Food (in-kind, drought)

15%

16%

6%

18%

41%

3%

52%

2%

19%

Table 25: Relative importance of household income sources - Okavango Region

Income Source

All areas

Subsistence from crops (1)

3%

Subsistence from fish (2)

1%

Crop sales (3)

1%

Animal sales (4)

11 %

Home production (5)

17%

Remittance income (6)

2%

Formal sector income (7)

46%

Informal sector income (8)

11%

Pension income (9)

4%

Other income (10)

5%

Agriculture (1+2+3+4)

16%

Transfers (6 + 9)

6 %

Employment (5+7+8)

74%

Other (9)

5%

Table 26: Absolute and relative importance of income sources for poor and non-poor - Okavango Region

PERCENTAGES

       

MEAN VALUE

All households

Food insecure

Generally poor

Income sufficient

Total income

10 560

2 377

5 851

18 788

Subsistence from crops (1)

3 %

8 %

6 %

2 %

 

310

181

352

407

Subsistence from fish (2)

1 %

1 %

5%

1 %

 

150

34

275

211

 

1%

2%

0%

1%

Crop sales (3)

75

43

27

116

 

11%

21%

13%

10%

Animal sales (4)

1 208

491

785

1 932

Home production income (5)

17 %

9 %

7 %

19 %

 

1 845

206

432

3 628

Remittance income (6)

2 %

5 %

4 %

1 %

 

193

120

248

236

Informal sector income (7)

11 %

17 %

17 %

9 %

 

1 119

402

983

1 762

Formal sector income (8)

46%

5%

22%

52%

 

4 810

130

1 313

9 744

Pension income (9)

4 %

19%

10%

1 %

 

375

452

605

244

Other income (10)

5%

13%

14 %

3%

 

480

317

831

518

Agriculture (%)(1+2+3+4) (Rand

17%

32%

25%

14%

)

1 743

749

1439

2 666

Transfers (%) (6+9) (Rand)

5%

24%

15%

3%

 

568

572

853

480

Employment (%)(5+7+8) (Rand)

74%

31%

47%

80%

 

7 774

738

2 728

15 134

Other (10) (%) (Rand)

5%

13%

14%

3%

.

480

317

831

518

Table 27: Contribution of cash sources to monthly household budget - Eastern Communal Areas 1993

Cash Sources

Contribution

 

Major

Little/None

Remittances

5.4 %

94.6 %

Pension

42.8 %

57.2 %.

Wage-Employment

32.3 %

67.7 %

Self-Employment

32.3%

67.7%

Sale of Fish

2.0%

98.0%

Sale of Animals

44.4 %

55.6 %

Sale of Karakul Pelts

.7%

99.3%

Sale of Crops

3.0%

97.0%

Homemade Products

6.4%

93.6%

Table 28: Levels of malnutrition in children under five by urban/rural and geographic region

Area

Stunting
(Height-for-age)

Wasting (Weight-for age)

Undernourished (Weight-for-age)

Urban

21.8%

6.6%

17.8%

Rural

31.3 %

9.5 %

29.8 %

Northwest

27.1 %

9.8%

30.0%

Northeast

42.1 %

7.9 %

31.1 %

Central

19.6%

13.2 %

20.5 %

South

24.7 %

5.2 %

18.4 %

Source: Ministry of Health and Social Services, National Demographic Health Survey 1992

Table 29. Household decision-rnaking and division of labour by gender - Uukwaluudhi District, Omusati Region (Owambo)

Resource and Activity

Control - Who

Land

 

Crops

Female > Male

Vegetables

Female > Male

Trees

Female

How much to plant

Malea

Labour

 

Ploughing

Male

Sowing

Female

Weeding

Female, Children

Malindilindi

Female, Childrenb

Harvesting

Female > Male

Processing

Female, Female Children

Hiring

Male

Livestock

 

Cattle

Male

Goats

Male

Sheep

Male

Donkeys

Male

Oxen

Male

Horses

Male

Pigs

Female

Poultry

Female

Cash

 

Keeping

Female

Deciding

Male = Female

Harvest Storage

Female

Household

 

Seeds

Male

Agricultural tools

Male

Fuel wood

Female, Children

Water

Female, Children

Cooking

Female, Female Children

Education

Female > Male

Training

Female > Male

Literacy

Female > > Male

Table 30: Household decision-making by gender - Okavango Region

 

Decision Maker

 

Yes

No

Joint

Male

71.1%

1.8%

27.1%

Female

42.3 %

13.5 %

42.2 %

Table 31: Household decision-making by type of household - Southern Communal Areas

Type of Household

Decision Maker

 

Head

Spouse

Joint

Other

Nuclear

50%

6%

43 %

1 %

Extended

69%

5 %

22%

4%

Female-headed

92 %

0 %

0%

8 %

Table 32: Household decision-marring by type of household - Eastern Communal Areas

 

Subject of Decision

Decision Maker

Money to Spend

Sell Animals

Buy Food

Children to School

Clothes

Head

72%

63 %

50%

54%

49%

Spouse

3 %

4 %

15 %

6 %

9 %

Both

17%

21%

26%

28%

33%

Other

9%

12%

10%

12%

9%

Table 33: Ownership of livestock by households and number of stock - Eastern Communal Areas

Livestock

None

1-10

11-30

30+ (up to 1,000)

Cattle

24 %

20 %

22 %

35 %

Goats

30%

23%

23%1

25%

Donkeys

60 %

39 %

01%

0 %

Poultry

43%

37%

19%

01%

Table 34: Ownership of livestock by type of household and mean number owned - Eastern Communal Areas

Type of Household

Mean Number Owned

 

Cattle

Goats

Donkeys

Poultry

Nuclear

35

23

2

4

Extended

75

33

2

9

Female

25

19

1

4

Male

16

9

1

3

Table 35: Ownership of livestock by households and number of stock - Southern Communal Areas

 

None

2-50

52-100

105-200

204-800

Goats

25.1 %

31.7%

13.2%

16.4%

13.6%

 

None

1-52

59-100

105-3100

 

Sheep

66.1 %

14.9%

9.0%

9.0%

 
 

None

1-10

11-180

   

Cattle

63.0%

21.8%

15.2%

   

Table 36: Ownership of goats by type of household and income level - Southern Communal Areas

Type of Household

Median # of Goats

Extended family

62

Nuclear

47

Female headed

20

Lowest Income

8.5

Medium Income

35

Highest Income

100

Table 37: Ownership of livestock by households and number of stock - Owambo Region

Livestock

None

1-10

11-30

31-50+

Cattle

50.7%

15.9%

18.4%

15.0%

Goats

43.3 %

19.1 % %

25.7 %

13.9%

Table 38: Ownership of livestock by households and number of stock - Okavango Region

Livestock

None

1-10

11-30

31-50+

Cattle

66.0 %

15.1 %

12.7 %

6.2 %

Goats

77.8%

11.4%

8.1 %

2.7%

Table 39: Ownership of livestock by household income group and mean number owned - Okavango Region

Type of Household

Mean Number Owned

 

Cattle

Goats

Pigs

Poultry

Food Insecure*

9

3

0

8

Generally Poor

10

5

1

7

Income Sufficient

25

12

1

6

Table 40: Ownership of livestock by households and number of stock - Erongo/Kunene Regions (former Damaraland)

Livestock

None

1-10

10-20

20-40

40-80

80-160

160-320+

Cattle

48%

22%

9%

8%

6%

4%

3%

Goats

8%

4%

13%

16%

32%

15 %

12%

Sheep

65%

10%

8%

7%

6%

4%

0%

Table 41 Ownership of goats by gender and mean number owned - Erongo/Kunene Regions (former Damaraland)

Average Herd Size for Goats as a % of total male/female farmers

 

None

1-10

10-20

20-50

50-100

100-300+

Male Farmers

8%

15%

15%

20%

25%

17%

Female Farmers

7%

10%

10%

25%

22%

16%

Table 42: Ownership of cattle by gender and mean number owned - Erongo/Kunene Regions (former Damaraland)

Average Herd Size for Cattle as a % of total male/female farmers

 

None

1-10

10-20

20-40

40-60+

Male Farmers

50%

23%

10%

9%

8%

Female Farmers

60%

26%

9%

4%

1%

Table 43: Farmers' views of constraints to increased crop production (percent) - Okavango Region

Constraints reported as:

Food insecure

Generally poor

Income sofficient

lack of land

47

60

46

lack of credit

26

46

44

lack of equipment

85

89

78

lack of labour

28

14

38

lack of expertise

20

23

26

lack of markets

10

11

11

lack of transport

19

11

30

lack of rain

40

29

30

Table 44: Type of cultivation used by household head - Uukwambi District, Omusati Region, Owambo

Household Head

Hand hoe

Donkey/ Plough

Oxen/ Plough

Tractor

Hoe & Donkey

Hoe & Oxen

Donkey & Tractor

Hoe & Tractor

Male

5%

17 %

2%

9%

39%

2%

3%

14%

Female

18%

9%

3%

8%

33%

0%

0%

26%

Table 45: Agricultural extension staff by position and gender

TITLE

Educational Requirement

Female

Male

Total*

% Female

Agriculture Extension Officers

Bachelor of Science

4

20

24

17%

Agriculture Extension Technicians

Senior certificate & 2 year diploma

12

138

150

8%

Table 46: Veterinary services staff by position and gender

Position

Educational Requirement

Female

Male

Tolal*

% Female

State Veterinarians

Bachelor of Science

5

15

20

25%

Meat Inspectors/ Examiners

Senior certificate & 2 year diploma

0

41

41

0%

Technicians

Senior certificate & 2 year diploma

12

5

17

71%

Control/Chief Animal Health Inspectors

Senior certificate

0

18

18

0%

Animal Health Inspectors

Standard 8

0

62

62

0%

Clerical Assistants

Standard10

23

0

23

100%

Stock inspector Assistants

Standard 6-8

4

111

115

3%

Table 47: Directorate of Forestry staff by position and gender

Position

Educational Requirement

Female

Male

Total*

% Female

Chief Forester/ Director

Bachelor of Science

0

4

4

0%

Forester

Bachelor of Science

2

5

7

29%

Forest Ranger

Senior certificate & 2 year certificate

2

7

9

22%

Forest Technician

Senior certificate & 2 year diploma

1

7

8

13 %

Table 48: Department of Nature Conservation staff by position and gender

Position

Educational Requirement

Female

Male

Total*

% Female

Nature Conservation Researcher

Bachelor of Science

1

15

16

6%

Conservation Research Technicians

Senior certificate & 3 year diploma

4

1

5

80 %

Nature Conservation Officers

Senior certificate & 3 year diploma

0

35

35

0 %

Table 49: Enrolment in Ogongo Agricultural College by gender

OGONGO

Female

Male

Total

% F

1st year:
3 year diploma

14

17

31

45%

1st year:
2 year forestry

4

12

16

25%

2nd year

8

17

25

32%

3rd year

15

14

29

52%

Table 50: Enrolment in Neudamm Agricultural College by gender

NEUDAMM

Female

Male

Total

%F

1989 1 st year

1

28

29

3

1989 2nd year

4

25

29

14

1990 1st year

1

30

31

3

1990 2nd year

1

17

18

6

1991 1st year

3

26

29

10

1991 2nd year

1

25

26

4

1992 1st year

2

21

23

9

1992 2nd year

3

19

21

14

1993 1st year

0

10

10

0

1993 2nd year

0

9

9

0

1994 1st year

3

23

26

12

1994 2nd year

0

10

10

0

1994 3rd year

0

13

13

0

Table 51: Secondary school enrolment in agricultural subjects by gender, 1993

Enrolment

Agricultural science

Agricultural production and farming techniques

Both subjects

 

M

F

All

M

F

All

M

F

All

Pupils

12160

13053

25213

11924

12037

23961

19950

19864

39814

Ratio (%)

48.2

51.8

100

49.8

50.2

100

50.1

49.9

100

Table 52: Water supply to rural households

Piped Indoors

3.5%

Piped Outdoors

7.2%

Public Pipe

15.2%

Well

39.4%

Borehole

21.5%

River, canal or lake

12.7%

Other

0.3%

TOTAL

100.0%

Table 53: Toilet facilities of rural households

Water Closet (exclusive)

4.7%

Water Closet (shared)

2.2%

Pit

6.5%

Bucket, pail

1.1%

Bush

85.6 %

TOTAL

100.0 %

Table 54: Population aged 15 + by sex, activity status and urban/rural

Activity Status

Urban

Rural

Total

 

Male

Female

Male

Female

Male

Female

Economically Active

74.7%

50.8%

64.1 %

48.1 %

68.6%

49.0%

Not Economically Active

25.2%

49.1%

35.5%

51.8%

31.3%

50.9%

TOTAL

100%

100%

100%

100%

100%

100%

Table 55: Population aged 15+ by sex, activity status and agro-ecological zone

Activity Status

Communal Areas

Commercial Areas

Rural Areas

Natl. Total

 

Male

Female

Male

Female

Male

Female

 

Economically Active

59.3%

47.9%

82.2%

51.7%

64.4%

48.1%

58.4%

Employed

47.1 %

41.6 %

67. 1 %

36.2 %

53.7 %

42.1 %

47.2 %

Not Employed

12.3 %

6.3 %

15.1 %

15.5 %

10.7%

5.9%

11.2%

Previously Worked

4.3 %

1.0 %

4.8 %

3.8 %

3.9 %

1.1 %

3.1 %

First job Seekers

7.9%

5.3 %

10.3 %

11.7%

6.9%

4.9%

8.0%

Not Economically Active

40.6%

52.1 %

17.6%

48.1 %

35.5%

51.8%

41.5 %

Student

26.6%

21.6%

8.7%

11.1%

22.2%

18.3%

18.9%

Homemaker

4.4%

20.0%

2.6%

29.9%

3.7%

22.4%

13.8%

Income recipient

0.3 %

0.2 %

0.2 %

0.2 %

0.3 %

0.2 %

0.2 %

Disabled

1.7%

1.1%

0.8%

0.6%

1.6%

1.1%

1.1 %

Retired old age

7.2%

9.0%

3.8%

6.0%

7.3%

9.6%

7.0%

Other

0.4%

0.2%

1.5%

0.3%

0.3%

0.2%

0.5%

Not Stated

0.1%

0.1%

0.1%

0.1%

0.1%%

0.1%

0.1%

TOTAL

100 %

100 %

100 %

100 %

100 %

100 %

100 %

Table 56: Economically active population (aged 10 years and over) by sex, employment status, and area (percent)

Employment Status

National

Rural

North

Central

W - S

Total

     

CA

CA

CF

CA

CF

CA

CF

All

Employer

1.9

1.7

0.5

3.6

3.1

1.3

4.3

0.8

3.5

Own account worker

19.1

27.8

32.2

11.6

3.0

20.8

2.2

29.8

2.8

Employee: Gov't.

18.6

10.9

13.9

21.3

26.2

18.2

19.2

14.3

24 3

Employee: Private

39.1

26.7

16.4

49.7

66.1

30.3

73.2

20.0

68.0

Unpaid family worker

21.0

32.6

36.6

12.7

0.9

29.1

0.7

34.3

0.9

Other

0.1

0.0

0.0

0.0

0.4

0.0

0.0

0.0

0.3

Not stated

0.3

0.2

0.3

0.5

0.3

0.3

0.4

0.3

0.3

Male
Employer

2.7

2.7

0.7

4.3

4.0

1.5

5.4

1.2

4.4

Own account worker

15.9

24.5

31.1

12.7

2.9

22.2

2.0

28.2

2.6

Employee Gov't.

21.7

14.1

20.2

16.7

26.5

17.0

13.1

19.5

24.2

Employee: Private

47.6

39.2

24.9

53.0

65.4

36.6

73.6

29.1

67.7

Unpaid family worker

11.6

19 2

22.8

13.0

0 7

22.4

0 6

21.7

0.6

Other

0.1

0.0

0.0

0.0

0.4

0.0

0.0

0.0

0.3

Not stated

0.3

0.2

0.3

0 3

0 2

0.2

0.3

0.3

0.2

Female
Employer

0.8

0.6

0.4

1.8

1.4

1.0

1.7

0.5

1.5

Own account worker

23.2

31.5

33.2

8.9

3.2

18.5

2.8

31.3

3.1

Employee: Gov't.

14.5

7.3

8.6

34.7

25 5

20.3

22.0

10.4

24.6

Employee: Private

27.7

12.5

9.3

41 5

67.6

19.4

72.0

11.2

68.7

Unpaid family worker

33.4

47.8

48.3

12.1

1.5

40.5

0.9

46.4

1.4

Other

0.1

0.0

0.0

0.0

0.5

0.0

0.1

0.0

0.4

Not stated

0.3

0.3

0 2

1.0

0.4

0.4

0.5

0.3

0.4

Table 57: Population employed in agricultural and fishery work by gender .

 

Male

Female

Total

% Female

Market Oriented/ Skilled

6,851

781

7,632

10.2%

Subsistence

56,469

86,126

142,595

60.4 %

Labourers

34,002

2,564

36,566

7.0 %

Total

97,322

89,471

186, 793

47.9 %

% of Work in Subsistence

58.0%

96.3%

76.3%

 

Table 58: Proportion employed in subsistence agricultural and fishery work by gender

 

Total Employed Population

Subsistence

% Subsistence

Male

221,309

56,469

25.570

Female

173,032

86,126

49.8%

Rural Male

130,204

55,084

42.37

Rural Female

119,787

84,474

70 57

TOTAL

394,341

142,595

36.270

Table 59: Literacy rate by sex and urban/rural

Literacy Status

Rural

Urban

Total

 

Male

Female

Male

Female

 

Literate

70.0%

68.4%

90.3%

89.9%

76.6%

Illiterate

30.0%

31.6%

9.7%

10.1%

23.4%

Table 60: Rural literacy rate by sex and age

Distribution of the rural literate

Age Group

Male

Female

Total

Age 10-24

51.3%

57.5%

57.9%

Age 25-44

32.7%

28.8%

27.0%

Age 45+

8.4%

7.4%

8.7%

TOTAL

100 %

100 %

100 %

Table 61: Population aged 6-24 years by sex and school attendance, urban/rural

School Attendance

Rural

Urban

Total

 

Male

Female

Male

Female

 

No schooling

18.1 %

13.3 %

7.4%

5.4%

12.8%

Attending school

68. 1 %

69.5 %

65.4 %

66.9 %

68.0 %

Left school

15.3%

17.0%

27.0%

27.6%

19.0%

Not stated

0.2%

0.2%

0.1%

0.1%

0.2%

TOTAL

100.0%

100.0%

100.0%

100.0%

100.0%

Table 62: Past school attendants by sex, urban/rural

Educational Attainment

Rural

Urban

Total

 

Male

Female

Male

Female

 

Primary

65.0%

64.3%

36.5%

30.8%

49.9%

Secondary

31.6%

33.0%

54.3%

61.1%

44.3%

Technical/Vocational

1.4%

0 9%

4.2%

3 4%

2.4%

Teacher training

1.1%

1.2%

1.2%

1.8%

1.3%

University

0.7%

0 7%

3 7%

2.8%

1.8%

Not Stated

0.2%

0.2%

0.1%

0.1%

0.2%

TOTAL

100.0%

100 0%

100.0%

;00 0%

100.0%

Table 63: Participation in the National Literacy Program by gender as of mid-1993

Participants in National Literacy Program

Number of Women

Number of Men

Total

Women as% of total

District Literacy Organisers (paid)

39

55

94

41%

Promoters (voluntary)

1300

700

2000

65%

Learners

26,250

8,750

35,000

75 %

Source: Melaku-Tjirongo, E. and Devereux, S. December 1993.

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