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Annex 6
POPULATION IN SWAZILAND - RURAL AND URBAN POPULATION 1986, PAPER DELIVERED BY L. D. MAMBA, DEPUTY CENSUS COMMISSIONER

The 1986 Population Census was conducted in August 1986 and a total population figure of 676 089 was obtained. The 1986 population figures are still provisional as the population of 676 089 was arrived at through a manual quick count process and therefore it has still to be processed through computer, checked, refined and changed as the need may arise. The final population figure and the finer analytic details of the Census will be only available after all the information has been thoroughly processed next year - from February onwards. The 1986 population figures used in this paper therefore should be used with an understanding that they are still provisional while all the other earlier years (1976 and 1966) figures are final.

The Present Population in Swaziland

The population has long been an issue of concern to the economists; and demographers in the world. As far back as 1978 Thomas Malthus, an English clergyman, wrote about the population problem in his 'Essay on the Principle of Population.' He postulated a universal tendency for the population of a country to grow much faster than the rate of growth in food supplies. He believed that, among other things, the fixed nature of the land on which we grow food land would gradually dwindle as population numbers multiply. As a result the per capita food supplies (per capita incomes) would eventually grind to their maximum carrying capacity. The surplus population numbers would then unavoidably be malnourished and positive checks of these population numbers in the form of hunger, epidemic diseases, wars, etc. would result. Malthus therefore contended that the only way to avoid this miserable 'low standard of living' and resultant demise was for the people to engage in 'moral restraint' and limit their fertilities. He advised against early marriage and advocated sexual abstinence before marriage. In this regard he may be taken as the father of modern birth control. Malthus may have overlooked the power and impact technology may have on the productive capacity of the land but his 'population problem' continues to haunt us to this day.

The provisional population of Swaziland stand at 676 089 today as already mentioned in the introduction. Table 1 shows the 1986 age population distribution as derived from the 1976 age population distribution.

In this population distribution 47.4 percent of the population is in the age group 0-14. To check the dependancy burden that the Swaziland population carries we compute a dependancy ratio which is the ratio of the population 0-14 years and the population 65+ years to the population 15-64 (taken as an economically active population). This dependency ratio is 105 dependants to every 100 breadwinners and a high ratio indeed. In fact, a close study of the Swaziland population structure reveals some demographic and economic problems. It shows that Swaziland is mainly made of a young population. On top of a high dependency burden such a population puts more pressure on our job creation ability for our future nation. It puts more pressure on the nation's ability to build more schools for these young people. It puts more pressure on the country's ability to increase health facilities in the country; to build more hospitals and clinics; to produce more doctors; to provide more beds for our rapidly expanding population. For all these achievements to be realized we need healthy bodies and brains. However, experience has shown that rapidly expanding populations develop handicapped social structures that have difficulty main­taining their own systems. In essence, what normally happens is that, with increasing numbers in population the demand on our materials wants such as food, schools, hospitals and clinics, etc. rapidly outnumber the supply of these resources thus bringing us back to the 'Malthusian Population Trap'.

The intercensal growth rate (i.e. comparing the 1976 and the 1986 population) has been found to be 3.1 percent per year. By world standards this ranks amongst the highest growth rates in the world. The birth rate and the death rate for the country has not been computed yet as the data is still under processing.

Table 1

Population Age Distribution 1986 as Derived from The 1976 Age Distribution

(1) (2) (3)
1976 1976 1986 popn

Age

POPN

%

=676 089 x2

0-4 88 402 17.9 121 020
5-9 79 298 16.0 47.4 108 174 320 466
10-14 66 838 13.5 91 272
15-19 52 103 10.5 70 989
20-24 38 541 7.8 52 735
25-29 33 402 6.8 45 974
30-34 25 359 5.1 48.8 34 481 329 932
35-39 25 095 5.1 34 481
40-44 18 512 3.7 25 015
45-49 17 737 3.6 24 339
50-54 11 987 2.4 16 226
55-59 10 161 2.1 14 198
60-64 8 209 1.7 11 494
65-69 6 035 1.2 8 113
70-74 4 303 0.9 3.8 6 085 25 691
75+ 6 921 1.4 9 465
ANS 1 631 0.3 2 028
Total 494 534 100.0 676 089

Let us have a look at the 1976 rates to get a feel of the general picture. The following figures show the birth rates and death rates of the countries shown in their last censuses.

Table 2

Comparison of Population Determinants in Four Countries

Swaziland Lesotho Botswana Zambia

1976

1976

1981

1980

CBR per 1 000

52.5 39 47.2 49.2

CDR per 1000

18.5 17 13.0 14.8

Annual Growth Rate

2.8(3.4) 2.3 4.7 3.1

Infant Mortality

Rate for 1000 Births

156 113 68 97

Life expectancy

46.2 51.2 56 51.4

Per capita GNP in 1983 (US dollars)

780 460 920 580

The above table shows clearly that Swaziland has still a long way to go, if it is to improve its demographic statuses compared to its neighbours in the Southern African region. In almost all the population parameters in the above table Swaziland plays the last fiddle. It has the highest birth rate compared to the other three countries (52.5) while Lesotho has the least with 39 births per thousand people. Swaziland has the highest death rate at 18.5 per thousand people and Botwana has the least with only 13 deaths per thousand people. Swaziland's population growth rate is second only to that of Botswana. The infant mortality rate is the highest at 156 infant deaths per 1 000 births compared to 113 for Lesotho 97 for Zambia and 68 being the least and best for Botswana.

A look at the economic well-being of the four countries above, however, shows clearly that Swaziland's poor health or demographic indicators is not due to economic inadequacy but may be attributed to the country's population policies or to the country's population attitudes towards population control issues.

The table shows Swaziland to be only second to Botswana in GNP output. Botswana is the highest with $ 920 per capita followed by Swaziland with $ 780 per capita, Zambia with $ 580 per capita and the last is Lesotho with a per capita GNP of $460.

Rural Population

As already mentioned above, further analysis of the 1986 population census data has not been made yet. While we have provisional population figures for the census the analysis according to age could not be made. Unfortunately analysis by age groups of rural area population as distinct from urban area population was not done in the last (1976) census and this limits our ability to make estimates for 1986.

Tables 3, 4 and 5 show population distribution according to regions, rural and urban areas. In Table 3 the Swazi Nation Land is divided into Rural Development Areas (RDAs) and Non Rural Development Areas (Non-RDAs) with population of 470 688. The total rural population, including the population, on the other hand, is the total population found in towns and Company towns/Industrial Estates which is 151 384.

An important point to note here is that the population growth rate in urban areas (about 4.6 percent per annum) is much faster than the growth rate in rural areas (about 2.8 percent per annum). If these rates continue, in the future the urban population will overtake the rural population. Another important fact to note is that the percentage of the rural population is decreasing with time compared to the percentage in urban areas (Table 5).

While there is yet no age data on rural area population alone and urban area population, a general comment may be made from experience of the trends from other African countries. The tendency has been that the young, energetic males in the age brackets 15-45 drift away from rural areas to urban areas to seek paid employment. The result of this has been that you find mostly women and young children tilling the soil in rural areas. Table 7 may show evidence of this. This table shows sex ratio by region. The sex ration in Shiselweni region which has no industrial companies for employment purposes is the lowest with 84 males for every 100 females. In Lubombo region, however, which is rice with industrial companies and therefore, with lots of employment opportunities, the sex ratio is the highest in the four regions with 99 males for every 100 females.

Table 3

POPULATION BY ADMINISTRATIVE REGION AND TENTURE
(SUMMARY - PROVISIONAL FIGURES);
1986

ADMINISTRATIVE REGION

RURAL:SWAZI NATION LAND (SNL)

INDIVIDUAL TENTURE FARMS (ITF) : RURAL

URBAN TOTAL

TOWNS

COMPANY TOWNS & INDUSTRIAL EST.

RDA NON RDA
1 2 3 4 5 6 7
HHOHHO 61671 56993 11203

41164

8163 179194
MANZINI 60233 57368 16238

43896

12877 190612
SHISELWENI 89930 43608 14506

5S29

_ 153873
LUBOMBO 76197 24688 12070

2264

37191 152410
TOTAL 288031 182657 54017

93153

58231 676089

Table 4

SUMMARY OF HOMESTEAD, HOUSEHOLD AND POPULATION
COMPOSITION BY TENURE IN SWAZILAND: 1986
(PROVISIONAL FIGURES)

DISTRICT & TENURE

NUMBER OF HOMESTEADS

NUMBER OF HOUSEHOLDS

TOTAL POPULATION

MALE FEMALE

TEMPORARY ABSENTEES

1

2 3 4 5 6 7

HHOHHO SNL-RDA

8869 10434 61671 28013 33658 3146
SNL-NON-RDA 7842 9184 56993 26023 30970 2346
ITF 1731 2190 11203 5601 5602 360

TOWNS & OUTSKIRTS

7831 10223 41164 19849 21315 952
CO TOWNS 2333 2681 8163 4885 3278 49
TOTAL 28606 34712 179194 84371 94823 6853

MANZINI SNL-RDA

8170 9442 60233 27225 33008 2841
SNL-NON-RDA 7720 8814 57368 26162 31206 1858
ITF 2175 2775 16238 8210 8028 392

TOWNS & OUTSKIRTS

6952 9692 43896 21625 22271 644
CO TOWNS 2645 2752 12877 7212 5665 178
TOTAL 27662 33475 190612 90434 100178 5913

SHISELWENI SNL-RDA

12055 13917 89930 40532 49398 7899
SNL-NON-RDA 5921 6732 43608 19933 23675 3838
ITF 1890 2228 14506 6842 7664 1045

TOWNS & OUTSKIRTS

1114 1594 5829 2867 2962 238
CO TOWNS, - - - - - -
TOTAL 20980 24471 I 153873 70174 83699 13020

LUE0M50 SNL-RDA .

10979 12607 76197 35182. 41015 2560
SNL-NON-RDA 3431 4030 24688 11582 13106 958
ITF 2891 3400 12070 6562 5508 287

TOWNS &. OUTSKIRTS

496 529 2264 1072 1192 70
CO TOWNS 8562 10869 37191 21349 15842 780
TOTAL | 26359 31435 152410 75747 76663 4655
GRAND TOTAL 103607 124093 676089 320726 | 355363 30077

SNL-RDA - SWAZI NATION LAND - RURAL DEVELOPMENT AREA

SNL-NCN-RDA - SWAZI NATION LAND NON-RURAL DEVELOPMENT AREA

ITF - INDIVIDUAL TENURE FARMS.

CD. TOWNS - COMPANY TOWNS

Table 5

DISTRIBUTION PATTERN OF POPULATION IN DIFFERENT
REGIONS BY SEX AND TYPE OF AREA FROM 1976 AND
1986 CENSUSES
(BASED ON 1976 FINAL FIGURES AND 1986 PROVISIONAL FIGURES)'

TYPE OF AREA SWAZILAND HHOHKO MANZINI SKISELWENI LUBOMBO
1976 1986 1986 1986 1986 1986

1

2

3

4 5 6 7
BOTH SEXES
SNL-RDA 42.6 34.4 31.6 58.4 50.0
SNL-NON RDA 65.9 27.0 31.8 30.1 28.3 16.2
ITF (FARM) 18.9 8.4 6.3 8.5 9.4 9.8
TOTAL RURAL 84.8 78.0 72.5 70.2 96.1

76.0

TOWNS & OUTSKIRTS * 13.8 23.0 23.0 3.8 1 .5
CO.TOWNS & INDUSTRIAL ESTATES * 8.2 4.6 6.8 0.0 22.5
TOTAL URBAN 15.2 22.0 27.6 29.8 3.8

24.0

BOTH RURAL & URBAN

100.0 100.0

100.0

100.0 100.0

100.0

MALES
SNL-RDA * 40.8 33.2 30.1 57.8 46.4
SNL-NON RDA * 26.1 30.8 28.9 28.4 15.3
ITF (FARM) * 8.9 6.5 9.1 9.8 10.6
TOTAL RURAL * 75.8 70.5 68.1 96.0

72.3

TOWNS & OUTSKIRTS * 14.2 23.5 23.9 4.0 1 .4
CO.TOWNS & INDUSTRIAL ESTATES * 10.0 6.0 8.0 0.0 26.3
TOTAL URBAN * 24.2 29.3 31 .9 4.0

27.7

BOTH RURAL & URBAN

*

100.0

100.0

100.0

100.0

100.0

FEMALES
SNL-RDA * 44.2 35.5 32.9 59.0 53.5
SNL-NON RDA * 27.9 32.7 31.2 28.3 17.1
ITF (FARM) 7.9 5.8 8.0 9.2 9.1
TOTAL RURAL 80.0 74.0 72.1 96.5

79.7

TOWNS & OUTSKIRTS * 13.4 22.5 22.2 3.5 1.6
CO.TOWNS a INDUSTRIAL ESTATES * 6.6 3.6 5.7 - 18.7
TOTAL URBAN * 20.0

26.1

27.9 3.5

20.3

BOTH RURAL & URBAN

*

100.0

100.0 100.0 100.0

100.0

SML - RDA: Swazi Nation Land - Rural Development Area

SNL NON RDA: Swazi Nation Land - Nan Rural Development Area

CO TOWNS: Company Towns

ITF: Individual Tenure Farm.

Table 6

COMPARATIVE POPULATIONS OF THE TOWNS AND VILLAGES
OF SWAZILAND 1966 - 1986

TOWN OR VILLAGE

POPULATION % POPULATION % * POPULATION
1966 GRpa 1976 GRpa 1986
1.

Manzini town

6081 5 10019 5 16396
2.

Manzini Peri-Urban

10025 6 18818 3 26604
3.

Greater Manzini

16106 6 28837. 4 43000
4. Mbabane 13803 5 23109 5 37992
5.

Hevelock Mine

4140

2 4838 0 4827
6. Mhlume 2188 6 3921 5 6600
7. Tjaneni 1070 9 2806 3 3725
8.

Piggs Peak

1417 4 2192 4 3172
9. Nhlangano 1586 3 2097 7 3689
10. Big Bend 2924 3 2083 15 9272
11.

Sitivokodvo

868 6 1530 -1.3 1343
12. Siteki 1457 -.7 1362 5 2264
13. Hlatikhulu 984 2 1183 .9 1289
14. Lavumisa 762 0 765 1 851
15. Mankavane 587 1 597 4 896
TOTAL 47892 (12.8%) 4.4

75320 (15.2%) 4.6

118920 (17.6%)
16. Malkerns 5837
17.

Simunye/Ngarane/Mnjoli

8896
18. Mpaka 1037
19. Thabankulu 4732
20.

Mondi Forests

2960
21. Bhunya 2559
22.

Mhlambanyatsi

3138
23. Ngwenya 376
24.

Nsoko Planters Ltd.

2929
TOTAL 151384 (22.4%)

* Provisional Population figures.

Table 7

SEX RATIO ( NO. OF MALES PER 100 FEMALES ) OF
RESIDENT POPULATION IN DIFFERENT REGIONS BY
TYPE OF AREA : 1986
(BASED ON PROVISIONAL FIGURES)

( NO. OF MALES PER 100 FEMALES )

TYPE OF AREA SWAZILAND HHOHHO. MANZINI SHISELWENI LUBOMBO

1

2 3 4 5 6
SNL - RDA 83 83 82 82 86
SNL - NON RDA 85 84 84 84 88
ITF (FARM) 101 100 102 89 115

TOWNS & OUSKIRTS

95 93 97 97 90
COMPANY TOWNS 137 149 127 - 138
TOTAL 90 89

90

84 99

SNL - RDA:

Swazi Nation Land - Rural Development Area

SNL-NON RDA:

Swazi Nation Land - Non Rural Development Area

ITF:

Individual Tenure Farm

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