County Government of Kiambu

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Population Size and Composition

According to the 2009 Kenya Population and Housing Census, Kiambu County population for 2012 was projected to be 1,766,058 with 873,200 males and 892,857 females. Further, the population is expected to reach 2,032,464 people by the end of

2017. This is influenced by the county‘s high population growth rate, which is at 2.81 per cent and the influx of people working in the city who prefer to stay in Kiambu and its environs where there is less congestion and well developed infrastructure.

In terms of gender, the sex ratio of male to female is approximately 1:1.02.

The table below gives population projections for 2012, 2015 and 2017 by gender and different age cohorts using 2009 as the base year.

 

Population Projections by Age Cohort

AGE GROUP 2009 CENSUS 2012 PROJECTIONS 2015 PROJECTIONS 2017 PROJECTIONS

MALE

FEMALE

TOTAL

MALE

FEMALE

TOTAL

MALE

FEMALE

TOTAL

MALE

FEMALE

TOTAL

0-4

102,566

101,269

203,835

111,587

110,176

221,763

121,402

119,867

241,269

128,420

126,796

255,216

05-09

93,358

92,840

186,198

101,569

101,006

202,575

110,503

109,890

220,393

116,891

116,242

233,133

10-14

84,262

85,230

169,492

91,673

92,726

184,400

99,736

100,882

200,619

105,502

106,714

212,216

15-19

71,345

77,095

148,440

77,620

83,876

161,496

84,447

91,253

175,700

89,329

96,529

185,858

20-24

82,088

97,187

179,275

89,308

105,735

195,043

97,163

115,035

212,198

102,780

121,685

224,465

25-29

84,618

90,428

175,046

92,061

98,382

190,442

100,158

107,035

207,193

105,948

113,222

219,170

30-34

72,159

68,700

140,859

78,506

74,743

153,248

85,411

81,317

166,727

90,348

86,017

176,366

35-39

58,391

53,513

111,904

63,527

58,220

121,747

69,114

63,340

132,455

73,110

67,002

140,112

40-44

42,264

39,008

81,272

45,981

42,439

88,420

50,026

46,172

96,197

52,918

48,841

101,758

45-49

34,363

31,417

65,780

37,385

34,180

71,566

40,674

37,187

77,860

43,025

39,336

82,361

50-54

22,379

20,781

43,160

24,347

22,609

46,956

26,489

24,597

51,086

28,020

26,019

54,039

55-59

16,784

15,891

32,675

18,260

17,289

35,549

19,866

18,809

38,676

21,015

19,897

40,911

60-64

13,125

13,164

26,289

14,279

14,322

28,601

15,535

15,582

31,117

16,433

16,482

32,916

65-69

8,389

10,210

18,599

9,127

11,108

20,235

9,930

12,085

22,015

10,504

12,784

23,287

70-74

6,298

7,742

14,040

6,852

8,423

15,275

7,455

9,164

16,618

7,886

9,694

17,579

75-79

3,891

5,342

9,233

4,233

5,812

10,045

4,606

6,323

10,929

4,872

6,689

11,560

80+

5,792

10,474

16,266

6,301

11,395

17,697

6,856

12,398

19,253

7,252

13,114

20,366

NS

537

382

919

584

416

1,000

636

452

1,088

672

478

1,151

TOTAL

802,609

820,673

1,623,282

873,203

892,855

1,766,058

950,005

971,387

1,921,392

1,004,924

1,027,542

2,032,466

From Table 2, it is clear that in ages 0–4, and 5 – 9, the population of males is more than that of females while from age 10 to age 30 years females are more than males. However, from age 30 to 60 years, the population of males is more than that of females. This could be attributed to the fact that the county is a peri-urban area and thus there is an influx of people in this age group who work in Nairobi but reside in Kiambu County. Table 3 gives population projections for special age groups for both males and females using 2009 as the base year.

 

Population Projections for Selected Age Groups

 

2009 Census

2012 Census

2015 Projections

2017 Projections

AGE

Male

Female

Total

Male

Female

Total

Male

Female

Total

Male

Female

Total

Under 1

22,091

22,084

44,175

23,812

23,804

47,616

25,666

25,658

51,324

26,982

26,973

53,955

Under 5

102,566

101,269

203,835

110,554

109,156

219,711

119,165

117,658

236,822

125,274

123,690

248,965

Pre-School (3-5)

40,985

40,280

81,265

44,177

43,417

87,594

47,618

46,799

94,416

50,059

49,198

99,257

Primary School (6-13)

124,689

125,369

250,058

134,400

135,133

269,534

144,868

145,658

290,526

152,295

153,126

305,422

Secondary School (14-17)

58,375

60,926

119,301

62,921

65,671

128,593

67,822

70,786

138,608

71,299

74,415

145,715

Youth Population (15-29)

223,074

249,671

472,745

240,448

269,116

509,564

259,175

290,076

549,251

272,463

304,949

577,412

Reproductive age (15-49)

-

437,297

-

-

471,356

-

-

508,067

-

-

534,116

-

Labour Force (15-64)

475,149

486,112

961,261

512,156

523,972

1,036,128

552,044

564,782

1,116,826

580,348

593,739

1,174,087

Aged Population (65+)

24,907

34,150

59,057

26,847

36,810

63,657

28,938

39,677

68,614

30,421

41,711

72,132

Under 1 Year

In 2009, the population of this age group was 44,175 as indicated in Table 3. This represents 2.72 percent of the total population. The population was projected to be 47,617 in 2012, whereby in 2015, the population is projected at 51,324 and 53,955 in 2017. This implies that child survival strategies should be enhanced to reduce infant mortality such as improved nutrition measures to enhance better health for the infants.

Under 5 years

The population of children less than 5 years was 203,835 in 2009. This forms 12.6 percent of the total population. This population was projected to be 219,711 children by 2012. By 2015, the population is projected to reach 236,822 children and 248,965 children in 2017. The projected growth of children in this segment of the population implies that more Early Childhood Development (ECD) centres and programmes should be developed to meet the increasing population.

Pre – Primary School Age (3 – 5 years)

In 2009, the population of this age group was 81,265 which represent 5.01 percent of the total county population as indicated in Table 3. This population was projected to be 87,594 by 2012. By 2015, it is projected to be 94,416 and 99,257 in 2017. There are 1,063 private ECD centres and 532 public ECD centres. There is need for more ECD centres, especially public, and more qualified teachers to handle this increasing population. The existing public ECD centers are dilapidated and they need refurbishements. Most of the existing latrines are sinking and we need to put up modern toilettes to improve hygiene during this tender age.

Primary School Age (6–13 years)

In 2009, the population of this age group was 250,058 as indicated in Table 3. This represents 15.44 percent of the total county population. The population was estimated to be 269,534 in the year 2012, and 290,526 by 2015 and 305,422 at the end of 2017. This increase is likely to create pressure on the available education facilities in the county. The implication is that more primary schools would have to be constructed and more teachers employed to cater for the increasing number of children in this age-group. The existing infrastructure is in bad state and it requires refurbishment.

Secondary School Age (14–17 years)

The population of the secondary school going age as at 2009 was at 119,301. This age group forms 7.4 percent of the total population. It was projected to reach 128,593 in the year 2012, 138,608 in 2015 and 145,715 people in 2017. This will require additional physical facilities for secondary schools and employment of more teachers. In addition, the county would be required to improve on the facilities available in vocational training centres and the youth polytechnics.

Youth Age Group (15–29 years)

In 2009, the population of the youth was 472,745 and was expected to reach 509,564 in 2012, 549,251 in 2015 and 577,412 by the end of year 2017. The youth forms 29.1 percent of the total county population. To cater for this population, more investment in vocational trainings, youth empowerment centres and tertiary institutions is crucial so as to equip the youth with necessary skills and knowledge for gainful employment and job creation. In addition, institutions of higher learning such as technical colleges will need to be equipped and upgraded to offer competitive skills particularly to those who cannot proceed to the university. There is also need to create facilitative mechanisms for the youth to access loans such as those available through the Youth Enterprise Fund to assist them engage in income generating activities rather than joining illegal groupings or engaging in drug and substance abuse.

Female Reproductive Age Group (15–49 years)

The female in the  reproductive age (15-49 years) form 26.9 percent of the total population. This  population was 437,297 in 2009 and was expected to reach 471,356 in the year  2012, 508,067 in 2015 and 534,116 in 2017. This increase indicates a need for  intensive family planning campaigns in the county to address the high  population growth rates. There is need to have health facilities which are well  equipped and with adequate staff who are knowledgeable about family planning  methods and techniques. This will ensure that they are able to handle equipment  related to family planning so as to increase and improve maternal and child  health care services. Nutrition standards need to be improved in areas of the  county considered to be poor through proper utilization of the resources  available. There will be need to make deliberate efforts to invest resources in  food-deficient areas in order to ensure food security for the residents in  these areas.

Labour Force (15–64 years)

In 2009, the labour force in the county was 961,261, which comprised of 475,149 males and 486,112 females which translates to 59.2 percent of the population. It was projected to rise to 1,036,128 in 2012, 1,116,826 in 2015 and 1,174,087 at the end of 2017. With the steady growth of the labour force, there will be a major challenge of creating employment opportunities especially in the formal sector. Employment in the formal sector has been on the decrease with the only major employer being the informal Jua. Kali sector.

Aged Population (65 and above)

In 2009 this population was 59,057 in the entire county. This represents 3.64 percent of the total population. In the year 2012, this population was projected at 63,657, and 68,614 in 2015 and 72,132 in 2017. This increase calls upon enhancement of the social security programmes such as Cash Transfer Programme for the elderly to ensure their welfare is well taken care of.

University of Nairobi University of Nairobi

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