Kenya Population Census, 1989 Vol 1 March 1994

8/10/2019 Kenya Population Census, 1989 Vol 1 March 1994

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KENYA POPULATION CENSUS, 1989

VOLUME I

CENTRAL BUREAU OF STATISTICS


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INDEX OF PAGES

Index/Contents

Forward

Introduction i-1

Administrative Report i-1

Census Organisation and Administration i-1

The Census Committees i-3Pre-census Activities i-4

Mapping i-4

Pilot Census i-11

Publicity Campaign i-12

Logistics, Transportation, & Comnunicat ions -12

Training the Census Field Personnel i-13

TheEnumeration 1-13

Post Census Enumeration Survey i-13

Data Preparation and Processing 1-14


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Table 1 - Population by Sex, Number of Households, Area and Papulation Densities by Sublocation

Summary of Table 1 results by Dist/Province 1-1

Nairobi Province 1-3

Kiambu District 1-7

Kirinyaga District 1-13

Muranga District 1-16Nyandarua District 1-21

Nyeri District 1-24

Kilifi District 1-30

Kwale District 1-35

Lamu District 1-38

Mombasa District 1-40

Taita Taveta District 1-42

Tana River District 1-45

Embu District 1-47

Isiolo District 1-50

Kitui District 1-52

Machakos District 1-58

Marsabit District 1-66

Meru District 1-68

Garissa District 1-75Mandera District 1-78

WajirDistrict 1-80

Ki ii Di t i t 1 83


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Table 2 - Population by Sex and Single Years of Age.

Kenya Table 2-2


Kiambu District 2-4


Muranga District 2-6

Nyandarua District 2-7

Nyeri District 2-8

CENTRAL PROVINCE 2-9


Kwale District 2-11

Lamu District 2-12




COAST PROVINCE 2-16

Embu District 2-17

Kitui District 2-19



Meru District 2-22

EASTERN PROVINCE 2-23

Garissa District 2-24

Mandera District 2-25

Wajir District 2-26

NORTH EASTERN PROVINCE 2-27

Kisii District 2-28


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Table 3 - Population by Sex, Age Groups and School Attendance

Kenya Table 3-2


Kiambu District 3-4




Nyeri District 3-8



Kwale District 3-11

Lamu District 3-12




COAST PROVINCE 3-16

Embu District 3-17


Kitui District 3-19



Meru District 3-22



Wajir District 3-26



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Table 4 - Population by Sex, Age Groups and Education

Kenya Table 4-2


Kiambu District 4-4




Nyeri District 4-8



Kwale District 4-11

Lamu District 4-12




COAST PROVINCE 4-16

Embu District 4-17


Kitui District 4-19



Meru District 4-22


Garissa District 4-24Handera District 4-25

Wajir District 4-26



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Table 5 - Population by Sex, Age Groups and Literacy Status

Kenya Table 5-2


Kiambu District 5-4




Nyeri District 5-8



Kwale District 5-11

Lamu District 5-12




COAST PROVINCE 5-16

Embu District 5-17


Kitui District 5-19



Meru District 5-22



Wajir District 5-26



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6 - Population by Tribe, Sex and District.

Kenya Table 6-2


Kiambu District 6-4




Nyeri District 6-8



Kwale District 6-11

Lamu District 6-12




COAST PROVINCE 6-16

Embu District 6-17


Kitui District 6-19



Meru District 6-22


Garissa District 6-24Handera District 6-25

Wajir District 6-26



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Appendices

Appendix 1 - Enumerator's Instructions Manual

Part 1 Introduction app 1-1

Part 2 Preliminary Operations app 1-3

Part 3 General Instructions app 1-7

Part 4 How to fill in the questionnaire app 1-11

Appendix 2 - Census Questionnaire app 2-1

Appendix 3 - Post Census Enumeration Questionnaire app 3-1


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The 1989 population and housing census was carried out between midnight of

24th/25th August and 2nd September 1989 as authorised by the Legal Notice No.

466 of 4th November 1988. The coverage was on an defacto basis with midnight

of 24th/25th August as a reference date. This was the fifth census since 1948 and

the third since independence.

Due to dynamic socio-economic development achieved by the Government since

Independence, the data needs for effective planning particularly at the district

level were accorded utmost priority. Hence, the 1989 population and housing census was the

most comprehensive and ambitious census to be undertaken in the history of census taking in

Kenya. It was the first census which was planned, organised and executed by Kenyans with

minimal involment of expertise from outside the country.The enumeration took about 5 days

in most areas and recorded a population of 21.4 million people.

Several organisations and institutions assisted in diverse ways in the successful

undertaking of this census. We wish to extend the Government's profound

gratitude to UNDP, UNDTCD, UNFPA, UNECA, CIDA, Government of

Netherlands, ODA and others for their material, monetary and technical

contributions.

Many thanks are due to various Government Ministries and departments

especially the Office of the President and Office of the Vice-President and

Ministry of Finance for their support and co-operation.

Ue are indebted to Mr. Fred Waiganjo the National Census Officer for the able

and committed manner he handled the organisational and admin istra tive aspects

of the census. His continuous surveillance and advice greatly assisted the Census

Office in its operations. The District Statistical Officers and their staff deserve

special mention for their tireless efforts in assisting the District Census Officers

in carrying out their responsibilities.


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INTRODUCTION

The 1989 Population and Housing Census was carried out between 24th/25th

August and 2nd September 1989 under the provisions of the Statistics Act

(Chapter 112) of the Laws of Kenya and as per Legal Notice No. 466 of 4th

November 1988.

This was the third census since independence and the fifth since 1948 when the

first census was undertaken.

This census was carried out on a defacto basis with the reference date being the

midnight of 24th/25th August 1989. The objectives of the census were:

1. To provide information on the size, composition

and distribution of the population.

2. To collect information on current trends and

levels of fertility, death rates and migration.

3. To ascertain the current rate and pattern of

urbanisation.

4. To determine the size and composition of the

labour force.

5. To provide information on social amenities

available to wananchi.

This volume constitutes the first in a series of 5 volumes and 4 monographs

scheduled to be published. The volume contains information on dist ributio n of

the population by sex sublocation age school attendance educational status


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Census Organisation

The organisation of the census took advantage of the existing administrative

infrastructure within the Government: The Census Office was established in 1986

as an independent Unit within the Central Bureau of Statistics. Adequate office

accommodation was secured in Nairobi and Thika (40 Km from Nairobi). Mr.

Fred Waiganjo, Provincial Commissioner Nairobi Area, was appointed as the

National Census Officer. He was assisted by the Director of Statistics and a

Deputy Director of Statistics as far as the day to day operations of the census

activities were concerned.

The following sections were set up to facilitate various census activities:-

(a)Planning Section:

This section was instrumental in organising and monitoring all census

activities. It had 5 demographers, 2 sampling statisticians and several

support staff.

(b) Cartographic Section:

The cartographic section was charged with the responsibility of preparing

census enumeration maps. It was manned by 2 senior cartographers, 3

junior cartographers and support staff.

(c)Publicity Section:

The role of the publicity section was to promote census activities through

print media, posters and electronic media. The section had 1 Public

Relations Officer seconde d from the Ministry of Information and

Broadcasting and 1 Senior Officer from the Central Bureau of Statistics


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THE CENSUS COMITTEES

The need for various committees to enhance and monitor various census

a c t i v i t i e s was realised at the outset of the census programme. The

following committees were set up:

(a)The National Census Steering Committee

This was a policy making committee. It comprised of representatives from

various Government Ministries, University of Nairobi and Office of the

President.

The committee initially met on quarterly basis until 1989 when the

frequency of the meetings was increased. The committee's basic role was

to review and clear various census activities including the questionnaires

used in the census.

(b) The Census Technical Committee

This committee was responsible for all technical aspects of the census:-

design of the census questionnaires, preparation of training manuals,

preparation of data entry and editing specifications and tabulation

proposals. The committee's membership included demographers and

subject matters specialists from Government Ministries and Universities

of Nairobi and Ken yat ta. The commi ttee also assis ted in the initial

clearance of publicity materials.

(c) The Cartographic Committee

The Cartogr aphic Committ ee brought together cartog raph ers from the

Central Bureau of Statistics, Survey of Kenya and included members


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PRE-CENSUS ACTIVITIES

The pre-census activities encompassed the preparation of census enumeration

maps; data collection instruments mainly questionnaires and training manuals;

publicity materials; pilot census; estimates of manpower and financial

requirements and logistical support especially procurement of vehicles, stationery

and other materials; dispatch of census materials to the field and training of field

personnel. Given the fixed date of reference for enumeration, the above activities

were to be undertaken in good time to meet the deadline of the Census Night of

24th/25th August 1989.

NAPPING

The mapping of the entire country was an essential requirement for the 1989

population and housing census given the increase in population size since 1979,

changes in administrative boundaries and the need to provide reliable data for

ascertaining manpower requirements. The Census Office was priviledged to

utilise the services of a Cartographic Section in the Central Bureau of Statistics

which had been existence since 1976.

Objectives of the mapping activities

Census mappings was aimed at helping the enumeration staff to locate areas of

their respective assignments by identifying boundaries correctly and carrying out

the enumeration effectively and .accurately; to prevent omission or duplication of

information; to facilitate co- ordination between various offices and between

field staff to settle administrative jurisdictional problems; to determine the

number and distribution of enumerators and supervisors to be employed; to fostercomparability of data between 1989 and 1979 censuses.

Recruitment and Training of Staff


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In prep arat ion for the census mapping work, the cartogr aphi c staff were trainedlocally and abroad before the census mapping work started. Two senior officers

of the section were trained at Glasgow University. Four other middle cadre

officers were trained at the Netherlands (Institute for aerial survey and earth

sciences and Kenya polytechnic). Ten clerical staff were trained at the

department of Survey of Kenya. The remaining cartographic staff who did not

have any formal training were trained by the qualified staff on the job.

In addition, all the census staff participated in various cartographic seminars

which were organised to prepare them for the census mapping work.

Procurement of Office Space, Equipment and Other Materials

The cartography unit, because of its specialised nature of jobs needed larger

space as compared to other divisions of the Census Office. Mapping was the only

major census activity that took place before the actual census enumeration and

there was no problem of housing the census mapping staff and the cartographic

equipment and materials. The other important consideration was about transport.

During the 1979 population census, non-availability of sufficient transport wasthe most severe handicap to the carrying out of the cartographic field work and

other related activities. In the planning of the 1989 population census

geographical preparatory work, it was recommended that the required number of

vehicles should be proc ured early enough without delay so as not to repeat the

same mistake of 1979 population census. In all, about 15 new vehicles were

needed for cartographic field work which was due to start in July, 1987. Four

Land Rovers were secured from UNFPA and the rest from the Government.

There was some delay in the delivery of the vehicles and this affected the field

work. However, the involvement of the District Statistical Offices in the exerciseprovided the necessary back-up.

The quantities of cartographic Materials and Equipment required for the 1989

l i i d i h i


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The first thing that was done early in 1987 was to list down all the

administrative areas at various levels. This was important before taking up other

aspects of planning the census geographical work because the information was

used in determining the types and quantities of maps to be prepared, specially

during the pre-enumeration phase. The information was compiled from the 1989

census and updated with information from the Office of the President. In 1989

there were eight provinces and forty one districts which had not changed since

1979. However, the administrative boundaries below the district level before the

census had undergone considerable changes due to creation of new administrative

units. Accordingly, more than 63 divisions, 395 locations, and 509 sublocations

had been created between 1979 and 1987. These additional administrative areas

had been created as a result of rapid growth of the population. The Cartographic

Unit therefore, planned to obtain information concerning the boundary changes

for all the administrative areas for the 1989 census through field work. The

information was obtained from the Assistant Chiefs who were conversant with

the changes.

Preparation of base maps

The preparation of the 1989 population census base maps was started and

completed in 1986. First, the maps that were available in the cartographic section

were evaluated to determine their suitability for the census use. The base maps

included the 1979 population census maps, the Survey of Kenya topographic

maps and National maps showing district boundaries, communication network,

locations of important places and population density. All the maps that were

available in the section were examined and listed down. Those which were found

useful for the census work were selected for reference and use. The 1979

population census maps were of three types, rural Sub-Location EA maps at

1:10,000 showing EA boundaries, topographical and infra structural details;

District maps at 1:100,000 and 1:250,000 showing Sub-Location boundaries; and

large scale Urban maps at 1:1000, 1:2,500 and 1:5,000 showing streets and builtup

areas The master transparencies of all the maps were geographically classified


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As training of the field mapping staff and other officers involved in censusgapping work was inevitable, training seminars were organised in Machakos,

Kakamega, Nakuru, and Kisumu. The District Statistical Officers and other

senior members of the Central Bureau of Statistics who were involved in the

census work were trained in Kakamega and Naku ru in November, 1987 and

March, 1988 respectively.

The workshops for the District Statistical Officers were held to review progress

made as far as field work was concerned and to introduce them to the techniques

that were being used so that they could monitor the mapping work in theirdistricts. During the Workshops, they visited some Sub-Locations where the work

was in progress. Their comments at the end of each seminar were taken seriously.

The mapping staff were organised in teams of four membe rs. Each team

comprised of a team leader and three mapping assistants. The team leader was

the overall in-charge of the team. He/she was academically highly qualified than

the mapping assistants and a senior officer of the cartographic section.

The Administrat ive officials e.g the District Commiss ioners, District Offic ers,Chiefs and Assistant Chiefs in each district were kept informed about the census

field mapping. It was the responsibility of the team leader to contact these

officials and solicit for their support. It was necessary to make them understand

what was involved in the mapping exercise. Each Assistant Chief with the

assistance of his Village Elders had to take the mapping team round his Sub-

Loacation boundaries so that they could be plotted on the maps correctly.

Before proceedi ng to the Sub-Location, the mapping staff held a meeting with all

the Assistant Chiefs at the District Officer's office to brief them about their rolein the census field mapping. At the meeting the Assistant Chiefs together with

their Village Elders were asked to identify and familiarise themselves with the

Sub-Location and village boundaries; resolve all the boundary conflicts with the


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The 1:50,000 and 1:250,000 Survey of Kenya topographical maps were used forthe densely populated areas and sparsely populated areas respectively as bast

maps. In the densely populated areas, these maps were supplemented with the

1979 census EA maps. The 1979 census maps were extensively used since they

were large scale maps. They provided a good base for collecting as much detail as

was required. For the areas with dense population, the maps were further

enlarged to larger scale suitable for field work.

Base maps for most of the urban areas were acquired from the 1979 census but

complete inventory was obtained from the Municipalities, Town and Urban

Councils and from other private agencies. In the situations where suitable maps

were not available, the mapping staff were encouraged to make sketches,

especially for slum areas.

An Enumeration Area for the 1989 population census was planned to contain 100

households. However, it was anticipated that this size would differ between

different geographical areas. For example, in the Arid and Semi-Arid areas, the

size was expected to be lower and the geographical area larger while in the

densely populated areas it was expected to be higher and the geographical area

smaller.

The most important principle which was followed in delineating the EAs was

that, under no circumstances an EA could cut across any existing Sub-Location

boundaries. Each census counting area or Enumeration Area was assigned to

Village(s) and each Village was assigned to a Sub-Location.

While delineating EAs, the mapping staff made sure that, as far as possible, the

boundaries of EAs were made following identifiable or visible ground features

whenever possible such as roads, footpaths, fences, streams, rivers etc. Whenever

imaginary boundaries had to be used, this was done with reference to prominent

features e.g churches, schools, plotting of houses of prominent people along the


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All the structures were plotted on the base maps. Each structure was assigned a

n u m b e r . The number was written on the structure as well as on the base map.This was meant to facilitate quick identification of the structures in the EAs on

the ground as well as on the EA map at the time of the census. This exercise of

listing the structures and obtaining Household estimates was done for the first

time in the history of census taking in the country.

The delineation of the EAs was carried out on the base maps on the basis of the

e s t i m a t e d number of households. Each EA was to contain approximately 100

households like in the rural areas.

The boundaries of some municipalities, towns and urban councils as defined by

the Ministry of Local Government generally encompass one or more Sub-

Locations in their entirety. Thus, these urban and town councils often include

areas which are not of urban character by any reckoning. Therefore, while

delineating these urban areas into EAs, the limit of the actual urban area was

identified and the EAs carved out within the same. The EAs were coded

differently for identification purposes so as to facilitate reporting of the data for

the "core urban" and "peri-urban".

In updating the base maps and delineating EAs in the urban areas, each Sub-

Location was divided into blocks using major features like roads, streets, rivers,

railway lines, etc. In the major urban areas each block was made of one or two

housing estates making sure that slum areas were not put together with other

planned housing estates.

While in the process of numbering the structures, the Mapping Assistants noted

the purpose for which the structure was used. This was done by asking the

people around it. The importance of doing this was that out of all the structureslisted in a place it was possible to know how many of them were used for

dwelling purposes. The mapping staff noted down the purposes for which all the

structures were used. The total number of dwelling units in the various structures


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At the time of mapping for the census, the National Parks and Forest areas were

treated and coded at the level of Sub-Locations or Locations or Divisionaldepending on their sizes. The mapping staff obtained information concerning the

people and their locations of the settlement centres. Collective households such as

Hospitals, Hostels, Prisons, Army camps, etc were treated as special EAs. If the

population of any colle ctive household was less than the pres crib ed EA size, it

was put together with other neighbouring population for the purpose of EA

delineation. However, some households of classified nature like the army, police

and prison camps were left to form separate EAs.

The symbols for representing Administrative, Village and EA boundaries, placenames and EA numbers were chosen very carefully. While choosing the symbols,

care was taken to avoid overcrowding the base maps. It was important to make

sure that while updating the base maps other topographical features were not

covered Trans parent colours were used to annotate the maps . This technique

provided clarity without blocking other background topographical features.

The EAs in each Sub-Location were systematically numbered e.g 001, 002, 003,'

004 etc making sure that consecuti ve numbe rs were placed next to each other, t

They were numbered beginning at the North-West or the North-East and movingin the clockwise direction. Numbering the EAs was done immediately after

completing their delineation in each Sub- Location.

The pilot census unde rtaken in Novem ber, 1988 provi ded valua ble experiences

which afforded a sound base for improvement as far as EA delineation was

concerned. According to reports from the pilot census, EA boundaries were easily

identifiable in almost all the Sub-Locations which had been selected for the pilot

censu s. However, the reports showe d that, there were some variations in the EA

sizes regarding the population sizes.

The variations in the EA sizes were however expected because of the following

reasons: in some areas, EAs were delineated without household estimates; in some


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Breakdown of EAs by Households in 1979 and 1989 Censuses.

Less than 51 7% 15%

51 to 150 42% 66%

151 to 250 25% 15%

251 to 500 20% 4%

501 to 700 4% O%

more than 700 2% O%

There Mere s few problems experienced with regard to Sub-Location boundaries.

These boundary problems were communicated to the District Commissioners who

srrsnged for administrative solutions after which the mapping staff re-visited the

affected Sub-Locations and mapped them accordingly. Host districts did not have

serious mapping proble ms except in Meru and South Nyan za. In Mer u there were

serious administrative boundary disputes while in South Nyanza the problems

were as a result of clsnism. Copies of all the drafted EA maps were sent to the

Assistant Chiefs to confirm the Sub-Location boundaries. The Assistant chiefs

were asked to check and correct the Sub-Location boundaries and certify with

their official st amps. In June, 1989, all the corr ecte d Sub- Loca tion maps were

returned to Nairobi and most of them were okay. There were however, a few

aistskes which were corrected using the original field copies. An added

advantage of the involvement of the Assistant Chiefs and the Village Elders in

the mappi ng exer cise was the util izat ion of their knowl edge and exper ience

about the area which was considered very crucial in the absence of any other

source of information. Their understanding of EA maps greatly assisted census


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Ac far as the questionnaire was concerned, some problems were encountered with

regard to securing accurate data on age particularly in districts with low literacy

rates, que sti ons on migr ati on were sensiti ve to resid ence living along Kenya

borde rs; mor tali ty ques tion s were the most sensit ive to some respon dents

particularly in Masaai Land; the question on business or industry in which

economically active respondents were involved in could not be adequately

answered and information on housing stock could not be secured due to the

proble m of dealing with vacant structures. In light of the above problems effor ts

were made to improve the questionnaire and the training manuals accordingly.

Most of the maps used in the pilot census were found to contain up to date

information. In most areas the EA boundaries were easily. identifiable.

As far as administrative logistics were concerned, it was observed that

enumerators recruited from within the localities were more efficient than those

recru ited from outsi de the respectiv e Sub- Loca tions . It was also observed that

persons with secondary school education could effectively handle the census

enumeration. U nfortun ately, the District Commissioner s did not participate

effectively in the exercise due to other pressing national commitments.

It was noted from the experiences of all field staff who took part in the pilot

census that there existed some cultural and religious barriers to mounting a

successful census. These concerns indicated that there was urgent need to launch

a vigorous census publicity campaign before the enumeration.

Publicity Campaign

The major thrust of the publicity campaign was mounted starting in June 1989.

The major instruments were posters showing the growth of the country's

popu lat ion and its bearin g on the importan ce of popul atio n data for plannin g

purposes; car stickers and pamphlets; radio and TV announcements and the print

media. The Census Office produced an Opinion Leaders Guide which

underscored the objectives of the census and the national obligation for people


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Training of the Census field personnel

Training of the field personnel was carried out in four phases. The first

phase involved the briefing of the Provincial Commissioners and District

Commissioners on their respective roles and content of the census questionnaire.

This phase started on 3rd April and ended on 14th April 1989. The second phase

involved the Chief District Census Assistants (DO 1's), Assistant District Census

Officers (DO's) and Senior Supervisors. The training for these officers started on

5th June 1989 and ended on 18th July 1989 and took seven days for each

province. The third phase encompassed the training of supervisors who ultimately

trained enumerators during the forth phase. The training of enumerators was

completed on 22nd August 1989.

THE ENUMERATION

The enumeration in most districts started on the midnight of 24th/25 August

1989. On average it took 5 days to cover all the eligible persons. Hence, the

enumeration was over before 2nd September 1989 as provided for in the Legal

Notice No. 466 of 4th November 1988.

Unlike the 1979 population census where problems were encountered with

inadequate publicity, poor maps and classification of trading centres; the 1989

population and housing census succeeded in handling the above problems.

However, due to intensive publicity and the closing of public places for 2

consecutive days as from 6 pm, the public thought that they were to be counted

on the first night of enumeration. When this did not materialise, there was an

outcry that census officials had not been seen. This caused panic which was later

arrested by a press statement by the National Census Officer on 25th August 1989. It took

more than 5 days to cover the population in arid and semi-arid areas. Further,there were

problems of transport espec ially in districts with difficul t terrain. In a few

cases,enumerators were known to have stopped work after only three days , contrary to

instructions. In some border districts ,it is suspected that there were influx of people

from neighbouring countries during the enumeration period. The speed in major urban areas


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The objectives of the Post Census Enumeration Survey were: (1) to estimate the

amount of error committed during the 1989 population and housing census andestablish the causes of the errors and (2) to collect data on fertility and mortality

to assist in the verification of the demographic indices to be derived from the

census data. The results of this exercise will be incorporated in future analytical

reports covering various aspects of the census.

DATA PREPARATION AND PROCESSING

Overview

Work on the data preparation and processing for the 1989 Population Census

began in May 1989. Initial preparations concent rate d on the control forms,

procedures for producing manual counts for provisional results, and control

procedures for the data entry work.

By early August 1989, these procedures were ready. In addition rooms had been

found and prepared for storage of questionnaires, coding work and data entry

work in Nairobi.

By August 1989 agreement had been reached on the Manual Edit spcifications

and Edit Rules for computer imputations. Agreement had also been reached on

the Occupation Coding Structure.

Due to unavoidable circumstances, there was an initial delay of six months before

initiation of actual data processing. However this period was utilised in sorting,

labeling and storing the questionnaires and working on provisional results.

The resources allocated for the Data Entry work were 70 IBM XT CompatibleWorkstations and 30 No. IBM AT Compatible Work stations and five 386/150Mb

Data Analysis machines. The software used was the IMPS package designed for

census processing on Micro computers from the American Bureau of Census.


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Control w as achieved by a control form for each location covering stores, coding an d data

entry. Each EA within the location had its o w n entry for No . of books, dates for coding anddata entry and to record of the staff involved. These forms were completed by the

respective supervisors. Strict control was maintained over every batch to ensure that no

books were missed.

After data entry, the nu mb er s of males, females and h ous eho lds for each EA wa s

checked against the manual counts for the corresponding EA and any

discrepancies checked by retrieving the books and performing a second manual

count. In the majority of cases the initial ma nu al co unt wa s w r o n g wit h the n e w

count co'rresponding to Data Entry. In cases wh er e Data Entry had m a d e mistakesthe books we re rekeyed.

Coding

This operat ion wa s split into two parts. All parts of the question nair e had bee n

pre-cod ed with the exclusion of occupat ion codes. T h e general coding w o rk

carried out by 56 of the 60 staff was to ensure the quality of the data and

followi ng the ma nu al edit rules prepa re the bo ok s for data entry wo rk . Th e

other four staff co de d all b oo ks for occ upat ion c ode s to ensure consiste ncy inthis coding work. Coding went well always staying ahead of Data Entry finishing

early Ma rch '91.

Keying

This wa s carried out using C E N T R Y Software. W o r k wa s carried out by Province

starting with the smallest - North Eastern. D u e to space constraints 7 0 % of the data wa s

keyed in Nairobi and 3 0 % in a second DP Station at Thika.

Ea ch of the data entry ro o m s 'w or ke d tw o six hour straight shifts so that each

data entry station was in use twelve hours per day. It was hoped to work longer

shifts initially but difficulties in the staff returning h o m e after dar k resulted in


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Verification Keying was done initially but it was quickly found that due to pre-

coding of the data the levels of accuracy were high and so it was reduced to arandom sampling basis of approximately2%.

Validations

As mentioned previously this was carried out by comparison of three variables at

EA level (37,0 00 batches). Fo r each EA male s, females and N o of hou seh olds

were compared against the corresponding figures from manual counts. Any

discrepancies of mo re than 5% we re checked by recounting manually. No rm all y

the recount agreed with Dat a Entry but w h e n it did not the batch wa s rekey edand the procedure repeated.

Approximately 5% of all bo ok s had to be rekeyed. T h e biggest fault wa s a w r o n g

batch header of the 11 digit batch identifier resulting in tw o batches me rg in g

requiring both to be rekeyed.

Before Data Entry commenced an accurate database was created of every EA.

A n y missing E A s we re quickly identified and check ed. In mo st cases these

pro ved to be E A s in forest areas or deserts wh ic h had no population. H o we v e r ,enumeration books for two sub-locations; Gathiga in Nyathuna location, Kikuyu

division, K i a m b u district and Oljabet in Ma ra ma ne t location, R um ur ut i division,

Laikipia district could not be traced during the processing. Manual figures

reported by the District Commissioners have therefore been used for these two

sub-locations and included in "Table 1." As no data w a s available, infor matio n

on these two Sub-Locations does riot appear in subsequent Tables.

Th e data once complete wa s run through the Co nc or pr og ra mm e, the part of the

I M P S pack age designed for data validation and imputation wh ic h wa s written toperform and record any necessary imputations to the Data. This followed the

Edit Specification rules.


27/475

S U M M A R Y OF TABL E 1 RESULTSCENSUS RESULTS AS AT AUG US T 1989

LAND

MALES FEMALES TOTAL No of HHs Sq. Km. Density

NAIROBI PROVINCE

NAIROBI 52,597 571,973 1,324,570 382,863 693 1,911

CENTRAL PROVINCE

KIAMBU .58,608 455,804 914,412 211,956 2,587 353

KIRINYAGA 193,845 197,671 391,516 79,707 1,485 264

MURANGA .13,245 444,818 858,063 175,513 2,525 340

NYANDARUA 169,919 175,501 345,420 66,524 3,373 102

NYERI !95,111 312,181 607,292 130,541 3,266 186

CENTRAL 30,728 1,585,975 3,116,703 664,241 13,236 235

COAST PROVINCE

591,903KILIFI 82,382 309,521 591,903 89,876 13,006 46

KWALE 185,945 197,108 383,053 67,442 8,260 46

LAMU 29,428 27,355 56,783 11,239 6,818 8

MOMBASA 56,674 205,079 461,753 124,468 282 1,637

TAITA TAVETA 101,853 105,420 207,273 43,728 16,965 12

TANA RIVER 64,820 63,606 128,426 24,129 38,782 3

COAST 21,102 908,089 1,829,191 360,882 84,113 22


28/475

RIFT VALLEY PROVINCE

BARINGO

E. MARAKWET

KAJIADO

KERICHO

LAIKIPIA

NAKURU

NANDI

NAROK

SAMBURU

TRANS-NZOIA

TURKANA

UASIN GISHU

WEST POKOT

RIFT

WESTERN PROVINCE

BUNGOMA

BUSIA

KAKAMEGA

WESTERN

MALES

172,847

107,053

133,543

457,749

111,413

431,708

218,613

198,489

53,472

197,874

88,190

228,327

112,423

2 511 701

330,455

188,565

694,908

1 213 928

FEMALES

175,143

109,434

125,116

443,185

107,544

417,388

215,000

199,783

55,412

195,808

95,870

217,203

113,026

2 469 912

348,691

213,093

768,617

1 330 401

TOTAL

347,990

216,487

258,659

900,934

218,957

849,096

433,613

398,272

108,884

393,682

184,060

445,530

225,449

4 981 613

679,146

401,658

1,463,525

2 544 329

No of HHs

73,451

46,979

56,977

171,262

45,692

192,123

80,038

78,575

24,423

72,669

37,053

91,945

49,585

1 020 772

116,319

78,801

280,141

475 261

LAND

S q K m

10,954

3,049

21,756

4,940

9,162

7,190

2,784

18,002

20,808

2,467

69,146

3,218

8,937

182 413

3,072

1,652

3,561

8 285

Density

32

71

12

182

24

118

156

22

5

160

3

138

25

27

221

243

411

307


29/475

1909 KENYA POPULATION CENSUS

Table 1. Population by Sex, Number of Households, Area and Population Densities

for all Administrative Areas

ADMINIST RATIVE ARE A MALE FEMALE TOTAL No of HHS Sq. Km. Density

NAIROBI Province 752,597 571,973 1,324,570 382,863 693 1,911

DAGORETTI

WAITHAKA

WAITHAKA

79,172

5,833

5,833

5,647

5,647

144,779

11,480

11,480

2,902

2,902

32

5

5

4,524

2,296

2,296

KANGEMI

KANGENI

UTHIRU/RUTHIMITU

23,950

17,448

6,502

20,538

14,096

6,442

44,488

31,544

12,944

12,958

9,734

3,224

12

5

7

3,707

6,309

1,849

RIRUTA

RIRUTA

19,159

19,159

16,010

16,010

35,169

35,169

10,587

10,587

6

6

5,862

5,862

KAWANGWAREKAWANGWARE

MUTUINIMUTUINI

25,290

25,290

4,9404,940

127.847

18,525

18,525

4,8874,887

96.601

43,815

43,815

9,8279,827

224.448

14,882

14,882

2,4382,438

4

4

55

230

10,954

10,954

1,9651,965

976


30/475




ADMINISTRATIVE AREAMALE

FEMALE TOTALNo of HHs

Sq. Km. Density

STAREHE

PANGANI

ZIWANI/STAREHE/KARI'R

CITY SQUARE

NAIROBI CENTRAL

28,687

10,206

4,794

6,025

7,662

19,585

9,530

3,295

2,928

3,832

48,272

19,736

8,089

8,953

11,494

10,308

4,930

1,747

1,638

1,993

4

1

1

1

1

12,068

19,736

8,089

8,953

11,494

PARKLANDS/WESTLANDS 66,293 55,589 121,882 34,804 93 1,311

PARKLANDS

SP. VALLEY/U.PARKLANDS

MUTHAIGA

LORESHO/KYUNA

KITISURU

KARURA

HIGHRIDGE

38,297

5,162

2,821

9,616

2,337

5,986

12,375

31,114

4,257

2,028

7,593

1,581

4,298

11,357

69,411

9,419

4,849

17,209

3,918

10,284

23,732

20,377

2,824

1,847

5,379

1,134

3,536

5,657

68

5

14

12

9

25

3

1,021

1,884

346

1,434

435

411

7,911

KILIMANI

KILIMANI

MAS IWA

KILELESHWA

MUTHANGARI

27,996

13,929

4,765

5,128

4,174

24,475

11,983

4,163

4,461

3,868

52,471

25,912

8,928

9,589

8,042

14,427

6,827

2,625

2,544

2,431

25

9

7

6

3

2,099

2,879

1,275

1,598

2,681

PUMWANI 82 295 64 423 146 718 38 377 10 14 672


31/475

1989 KENYA POPULATION CENSUSTable 1. Population by Sex, Number of Households, Area and Papulation Densities


ADMINISTRATIVE AREAMALE FEMALE TOTAL | Ho of HHs Sq. KM. Density

KALOLENI /MAKONGENI 11,570 7,985 19,555 5,136 1 19,555

KALOLENI 2,6 47 2,014 4,661 1,004 0.48 9,710MAKONG ENI 8,92 3 5,971 14,894 4,1 32 1 14,894

MARINGO/MBOTELA 15,780 10,876 26,656 7,354 2 13,328

OFAFA 7,398 4,895 12,293 3,517 1 12,293

MBOTEL A 8,382 5,981 14,3 63 3, 83 7 1 14,363

VIWANDA 33,029 18,840 51,869 15,747 13 3,990

NAIROBI SOUTH 18,61 3 12,2 08 30,821 7,3 66 5 6,164

VIWANDAN I (IND. AREA ) 14,416 6,63 2 21, 048 8,381 8 2,631

EMBAKASI 88.864 72.098 160.9 62 48. 122 228 706

EMBAKASI 16,335 8,450 24,785 6,758 83 299

EMBAKASI 15,002 7,673 22, 675 5,9 88 56 405

MIHANGO 1,333 777 2,110 770 27 78

NJIRU 28,436 26,034 54,470 14,638 140 389

UMOJA 22,162 21,364 43, 526 11,149 18 2,418

RUAI 2,148 1,840 3,988 1,129 100 40

KOMA ROCK 4,12 6 2,830 6,95 6 2,360 22 316


32/475

1989 KENYA POPULATION CENSUSTable 1. Population by Sex, Number of Households, Area and Population Densities


ADMINISTRATIVE AREA MALEFEMALE

TOTAL No of HHsSq. Km. Density

ROYSAMBU 7,900 5,628 13,528 3,977 28 483

ROYSAMBU 7,900 5,628 13,528 3,977 28 483


33/475


Table 1. Population by Sex, Number of Households, Area and Population Densitiesfor all Administrative Areas



Sq. KM. Density

KIAMBU District 458,608 455,804 914,412 211,956 2,587 353

LIMURU 45.834 44.397 90.231 22.047 283 319

7,744 7,992 15,736 3,342 17 926

KABUKU 1,192 1,231 2,423 535 2 1,212

RIRONI 3,023 3,161 6,184 1,299 7 883

NGECHA 3,529 3,600 7,129 1,508 8 891

14,560 11,756 26,316 8,140 98 269

ITHANJI 4,443 3,392 7,835 2,564 43 182

KARAMBAINI 10,117 8,364 18,481 5,576 55 336

14,219 14,420 28,639 6,679 39 734

LIMURU TOWNSHIP 968 774 1,742 70 1 1,742

BIBIRI0NI 7,091 7,465 14,556 3,156 22 662

KAMIRITHU 6,160 6,181 12,341 2,814 16 771

NDEIYA 9,311 10,229 19,540 3,886 129 151

TIEKUNU 1,434 1,552 2,986 578 26 115

NDIONI 905 990 1,895 372 10 190

NDERU 2,974 3,282 6,256 1,330 37 169

THIGIO 3,998 4,405 8,403 603 56 150

KIAMBAA' 68 717 67 649 136 36 '2 187 729

NGECHA

TIGONI

LIMURU


34/475




ADMINISTRATIVE AREAMALE FEMALE

TOTAL Ho of HHsSq. Km. Density

KIAMBAAS/AREA 14,402 12.436 26,838 8,369 109 246

CIANDA 4,180 3,452 7,632 2,292 37 206

ANMER 3,900 3,278 7,178 2,280 39 184

KIAMBU TOWNSHIP 2,304 2,149 4,453 1,513 2 2,227

THINDIGUA 4,018 3,557 7,575 2,284 31 244

GITHUNGURI 57.231 60.529 117,760 24,088 170 693

KOMOTHAI 15,353 16,123 31,476 6,466 48 656

KIBICHOI 3,750 3,969 7,719 1,615 8 965

KIAMBURURU 1,759 1,762 3,521 745 7 503

THUITA 1,055 1,202 2,257 493 2 1,129

GATHUGU 2,991 3,223 6,214 1,181 13 478

KIRATINA 3,906 4,149 8,055 1,597 11 732

MBARI-YA-IGI 1,892 1,818 3,710 835 7 530

GITHUNGURI 20,953 22,505 43,458 8,881 61 712

KIAIRIA 4,154 4,472 8,626 1,620 13 664

NYAGA 3,754 3,955 7,709 1,633 8 964

KANJAI 3,045 3,314 6,359 1,207 8 795

GITHUNGURI 5,077 5,282 10,359 2,376 16 647

GIATHIEKO 1,951 2,050 4,001 795 6 667

KIMATHI 2,972 3,432 6,404 1,250 10 640


35/475



ADMINISTRATIVE AREA

MALE

FEMALETOTAL

No of HHs Sq. Km.Density

7,780 7,031 14,811 3,754 176 84

2,269 1,768 4,037 1,374 47 86

2,337 2,332 4,669 994 32 146GATUANYAGA3,174 2,931 6,105 1,386 97 63

RUIRU

26,961 21,478 48,439 14,619 289 168RURIU

13,504 9,889 23,393 7,570 49 477MUGUTHA

4,138 3,476 7,614 1,912 67 114KIU

7,903 6,984 14,887 4,242 150 99THETA

1,416 1,129 2,545 895 23 111KIKUYU

71.775 72,363 144.138 32.609 227 635MUGUGA

12,771 12,926 25,697 5,635 22 1,168KAHUHO

2,667 2,672 5,339 1,057 5 1,068GITARU 3,680 3,727 7,407 1,825 4 1,852MUGUGA

3,437 3,551 6,988 1,458 6 1,165KANYARIRI 2,987 2,976 5,963 1,295 7 852

NYATHUMA

9,651 10,041 19,692 3,989 18 1,094NYATHUNA

2,583 2,688 5,271 1,013 5 1,054KIRANGARI

3,258 3,243 6,501 1,390 5 1,300KARURA

1,598 1,672 3,270 676 4 818GATHIGA

2,212 2,438 4,650 910 4 1,163

GATUANYAGA

NGOLIBA


36/475


Table 1. PopulationbySex, Number of Households, Area and Population Densitiesfor all Administrative Areas



Sq.Km. Density

KIKUYU 12,910 12,347 25,257 5.935 51 495

KERWA 5,198 5,537 10,735 2,082 14 767

KARI 1,328 1,257 2,585 640 14 185SIGONA 3,042 2,622 5,664 1,583 6 944

KIKUYU TOWNSHIP 3,342 2,931 6,273 1,630 17 369

LARI 42.721 44 . 752 87.473 17.512 442 198

KIJABE 13,555 14,018 27,573 5,727 259 106

GITHOITO 610 568 1,178 273 42 28

MBAU-INI 1,073 1,152 2,225 410 7 318

BATHI 2,383 2,563 4,946 1,099 5 989MAGINA 2,054 2,242 4,296 973 3 1,432

RAGIA 359 324 683 139 40 17

KIJABE 1,763 1,874 3,637 781 11 331

KAMAE 1,983 2,041 4,024 785 37 109

KINALE 3,330 3,254 6,584 1,267 114 58

LARI 12,859 13,719 26,578 5,250 91 292

GITITHIA 2,933 3,130 6,063 1,119 17 357

KAMBAA 2,590 2,617 5,207 1,002 7 744ESCARPMENT 1,505 1,723 3,228 620 16 202

LARI/SCHEME 1,618 1,709 3,327 703 8 416

UPLANDS FOREST 381 369 750 157 19 39


37/475



ADMINISTRATIVE AREA MALE

FEMALE

TOTAL Ho Of HHs Sq. Km. Density

GATUNDU 90,196 98,387 188.583 37,107 480 393

KIGANJO 22,823 24,640 47,463 9,250 90 527GATITU 1,502 1,651 3,153 599 6 526

HANDEGE 2,502 2,770 5,272 964 12 439

KIAMWORIA 2,313 2,438 4,751 883 9 528

RITHO 2,488 2,469 4,957 936 10 496

NEMBU 4,971 5,552 10,523 2,072 13 809

KIAMWANGI 2,392 2,600 4,992 1,021 6 832

KIGANJO 2,217 2,407 4,624 967 8 578

MUNDORO 2,811 3,060 5,871 1,146 17 345

GACHIKA 1,627 1,693 3,320 662 9 369

MANGU 12,447 13,923 26,370 5,201 34 776

MANGU 2,725 3,033 5,758 1,154 8 720

GATUKUYU 2,631 2,827 5,458 1,077 5 1,092

KARURI 2,818 3,135 5,953 1,182 7 850

NYAMANG'ARA 1,500 1,803 3,303 649 5 661

MUKURWE 1,507 1,626 3,133 592 5 627

MITEERO 1,266 1,499 2,765 547 4 691

NDARUGU 17,255 19,060 36,315 6,881 224 162

NJAHI 941 1,020 1,961 381 8 245

KAMUNYAKA 1,937 2,124 4,061 764 13 312


38/475




FEMALETOTAL No of HHs

Sq. Km.Density

NGENDA 17,793 19,691 37,484 7,790 50 750

GATHAGE 2,428 2,689 5,117 1,070 7 731

KIMUNYU 3,472 3,851 7,323 1,437 10 732ITURU 2,055 2,257 4,312 876 7 616

WAMWANGI 2,601 2,736 5,337 982 8 667

GITHUNGUCU 4,440 5,122 9,562 2,253 10 956

KAHUNGUINI 2,797 3,036 5,833 1,172 8 729


39/475



ADMINISTRATIVE AREA MALE FEMALETOTAL No of HHs Sq. Km. Density

KIRINYAGA District 193,845 197,671 391,516 79,707 1,485 264

NDIA 85.459 89.188 174.647 36.858 368 475

KIINE NORTH 10,745 11,398 22,143 4,686 51 434

RUIRU 1,870 2,013 3,883 794 10 388

NGUGUINE 2,713 2,972 5,685 1,201 12 474

KIBINGOTI 2,333 2,430 4,763 1,031 14 340

KIANGAI 3,829 3,983 7,812 1,660 15 521

KIINE SOUTH 11,652 11,819 23,471 5,488 70 335

MUKUI 1,548 1,664 3,212 672 6 535THIGIRICHI 2,125 2,225 4,350 951 18 242

NYANGIO 2,330 2,436 4,766 955 13 367

GACHARO 2,018 2,153 4,171 851 16 261

SAGANA 3,631 3,341 6,972 2,059 17 410

MWERUA 9,364 10,068 19,432 3,966 55 353

GITAKU 2,999 3,197 6,196 1,270 18 344

KIANJANG'A 1,905 2,074 3,979 752 7 568

MAITHARUI 1,727 1,855 3,582 734 11 326KITHUMBU 2,733 2,942 5,675 1,210 19 299

MUTIRA 18,012 18,967 36,979 7,497 68 544


40/475




ADMINISTRATIVE AREA MALE FEMALE TOTALNo of HHs

Sq. Km.Density

MUKURE 8,272 8,673 16,945 3,150 36 471

KANYOKORA 2,669 2,892 5,561 1,068 11 506

KAGIOINI 2,068 2,268 4,336 866 7 619

MUKURE

MWEA

TEBERE

3,535

55,384

11,047

3,513

53,433

9,841

7,048

108,817

20,888

1,216

22,076

4,592

18

527

83

392

206

252

KIARUKUNGU 6,639 6,422 13,061 3,192 58 225

MAHIGAINI 1,772 1,662 3,434 663 12 286

GATHIGIRIRI 2,636 1,757 4,393 737 13 338

MUTITHI 15,581 15,689 31,270 6,435 140 223

RUKANGA 1,868 1,744 3,612 574 31 117

KINYAGA 2,593 2,486 5,079 1,206 19 267

MATHIGAINI 1,267 1,430 2,697 559 10 270

KOMBUINI 2,368 2,440 4,808 975 10 481

KATHIGA 3,393 3,448 6,841 1,354 18 380

KIANDEGWA 1,511 1,518 3,029 674 14 216

KABIRIRI 2,581 2,623 5,204 1,093 38 137

THIBA 12,357 11,350 23,707 4,012 90 263

NGUKA 3,100 3,000 6,100 1,075 17 359

WAMUMU 5,635 5,097 10,732 1,797 57 188

THIBA 3,622 3,253 6,875 1,140 16 430


41/475


Table 1. Population by Sex, Number of Households, Area and Papulation Densitiesfor all Administrative Areas

ADMINISTRATIVE AREA MALE FEMALETOTAL


GICHUGU 52,889 54.973 107.862 20,728 231 467

KABARE 16,279 17,117 33,396 6,552 61 547GACHIGI

MIKARARA

MUTIGE

NJUKU

RUKENYA

NGIROCHE

KIRITINI

3,848

1,974

2,088

3,366

1,521

1,492

1,990

4,241

1,948

2,290

3,648

1,447

1,534

2,009

8,089

3,922

4,378

7,014

2,968

3,026

3,999

1,577

810

823

1,431

565

570

776

14

8

7

12

7

7

6

578

490

625

585

424

432

667

NGARIAMA 7,873 8,120 15,993 2,898 36 444RUNG'ETO

KABARI

THIRIKWA

NYANGENI

2,242

1,732

1,693

2,206

2,289

1,773

1,826

2,232

4,531

3,505

3,519

4,438

861

520

711

806

11

7

8

10

412

501

440

444

NJUKI - INI 9,873 10,298 20,171 3,781 67 301

KANJUU

NGIRIAMBU

MIRICHINGERWE

2,731

2,397

2,7691,976

2,799

2,517

2,9202,062

5,530

4,914

5,6894,038

1,087

862

1,046786

21

22

159

263

223

379449

BARAGWI 18,864 19,438 38,302 7,497 67 572


42/475




ADMINISTRATIVE AREA MALE FEMALE TOTALNo of HHs Sq. Km. Density

MURANGADistrict 413,245 444,818 858,063 175,513 2,525 340

KIHARU 85.701 92,783 178.484 37.050 414 431

MUGOIRI 16,138 17,765 33,903 7,035 59 575

KAHURO

GATUNDU

KIRIA

MIRICHU

4,218

2,665

4,519

4,736

4,515

2,950

4,972

5,328

8,733

5,615

9,491

10,064

1,843

1,188

2,025

1,979

13

11

18

17

672

510

527

592

MURARANDIA 14,079 15,487 29,566 5,705 59 501

MURARANDIA

GATHAITHI

GATUYA

KAGANDA

THERI

2,609

2,862

3,243

2,934

2,431

2,758

3,137

3,569

3,294

2,729

5,367

5,999

6,812

6,228

5,160

1,017

1,166

1,320

1,165

1,037

14

18

9

10

8

383

333

757

623

645

WEITHAGA 16,140 17,991 34,131 6,700 54 632

WANJENGI

KIROGO

KAHUTI

GATHERU

MUKANGU

MUTUYA

3,534

3,312

2,611

2,880

1,659

2,144

4,058

3,665

3,018

3,099

1,744

2,407

7,592

6,977

5,629

5,979

3,403

4,551

1,464

1,322

1,177

1,186

660

891

11

9

8

12

7

7

690

775

704

498

486

650


43/475



ADMINISTRATIVE AREA MALE FEMALETOTAL No of HHs

Sq. Km.Density

KANGEMA 80,183 90,945 171,128 34 . 752 529 323

KAMACHARIA 10,710 12,180 22,890 4,563 36 636KAMACHARIA

KAMUNE

THUITA

KAIRI

2,646

3,398

2,488

2,178

2,943

3,828

2,887

2,522

5,589

7,226

5,375

4,700

1,147

1,501

1,007

908

10

11

8

7

559

657

672

671

KIRU 11,567 13,039 24,606 5,066 49 502

KAGUMOINI

KAIRO

KIRIAINIKIAMBUTHIA

KANJAMA

3,155

1,391

1,3582,278

3,385

3,602

1,459

1,4252,593

3,960

6,757

2,850

2,7834,871

7,345

1,368

540

771936

1,451

11

9

612

11

614

317

464406

668

GITUGI 12,439 14.320 26,759 5,501 49 546

RUNYEKI

GITUGI

CHUI

NGUTU

MIHUTI

2,913

2,511

1,431

2,636

2,948

3,479

2,863

1,677

2,948

3,353

6,392

5,374

3,108

5,584

6,301

1,337

1,145

634

1,181

1,204

17

9

6

8

9

376

597

518

698

700

IYEGO 17,301 20,100 37,401 7,915 64 584

NYAKAHURA 1 801 2 119 3 920 832 10 392


44/475





FEMALE TOTAL No ofHHsSq. Km.

Density

KIGUMO 86.889 93.509 180.398 36.116 462 390

NGINDA 21,990 23,330 45,320 9,553 127 357

ICHAGAKI 'A'

ICHAGAKI 'B'

ICHAGAKI 'C'

GATHERA

KAHARO

GAKOIGO

MARAGUA RIDGE

SAMAR

3,239

2,921

2,033

3,447

3,299

4,739

1,885

427

3,339

3,153

2,319

3,790

3,788

4,872

1,793

276

6,578

6,074

4,352

7,237

7,087

9,611

3,678

703

1,554

1,218

854

1,480

1,535

1,984

662

266

18

7

7

11

11

21

26

26

365

868

622

658

644

458

141

27

MUTHITHI 19,338 21,506 40,844 8,088 70 583

GIKARANGU

KIUGU

MUTHITHI

KANDANI

MUNGUINI

GITHEMBE

GIATHAINI

4,952

2,655

2,410

2,245

1,549

2,140

3,387

5,333

3,065

2,710

2,438

1,727

2,447

3,786

10,285

5,720

5,120

4,683

3,276

4,587

7,173

1,945

1,143

972

948

696

929

1,455

22

8

8

10

4

7

11

468

715

640

468

819

655

652

KIGUMO 16,462 18,238 34,700 6,610 45 771

GACHOCHO 4,324 4,713 9,037 1,726 13 695


45/475




ADMINISTRATIVE AREA MALE FEMALE TOTAL No of HHs Sq. Km. Density

MAKUYU

43,261 41,009 84,270 19.680 627 134

MAKUYU 7,825 7,38715,212 3,311 105 145KIMORORI

GATHUNGURURU

GAKUNGU

MAKUYU

1,073

2,281

2,388

2,083

938

2,121

2,150

2,178

2,011

4,402

4,538

4,261

469

1,023

990

829

22

49

19

15

91

90

239

284

KAMBITI 4,526 4,570 9,096 1,880 35 260

KAMBITI

KIRIAINI

MIHANGO

1,721

1,143

1,662

1,707

1,158

1,705

3,428

2,301

3,367

741

460

679

21

12

2

163

192

1,684

KAKUZI 10,894 10,484 21,378 4,766 217 99GITUAMBA

KIRIMIRI

KINYANGI

2,549

4,929

3,416

2,385

5,116

2,983

4,934

10,045

6,399

1,014

2,144

1,608

61

79

77

81

127

83

ITHAANGA 7,674 8,240 15,914 3,065 65 245KIATHANINI

KAKUKU

NGELELIA

1,041

3,5483,085

1,243

3,5933,404

2,284

7,1416,489

420

1,3491,296

15

2426

152

298250

SAMURU 4,272 3,448 7,720 2,500 62 125GATHAMBARA


46/475



ADMINISTRATIVE AREAMALE FEMALE TOTAL No of HHs Sq.Km.

Density

ITHIRU 13,310 14,503 27,813 5,499 36 773

KAGUTHIGAKUI/KARIMAMWARO

GITHUYA

KIIRI

GAKARARA

3,3384,035

911

2,868

2,158

3,6864,307

1,064

3,002

2,444

7,0248,342

1,975

5,870

4,602

1,2741,648

393

1,264

920

813

3

7

5

878642

658

839

920

RUCHU 18,413 19,538 37.951 7,224 69 550

GITURU

GITHUMU

MUNGARIAGACHARAGE

KARIUA

1,507

3,971

4,3494,974

3,612

1,658

4,029

4,6945,257

3,900

3,165

8,000

9,04310,231

7,512

614

1,605

1,6431,916

1,446

9

19

1217

12

352

421

754602

626

GAICHANJIRU 22,269 24,808 47,077 9,735 73 645

KAGUNDU/KARITI

KABATI/GITURA

NGURWEINI/KAGIRA

GITHUNGURI

MARIA-INIKAGUMOINI

5,142

4,958

4,281

1,951

1,6904,247

5,711

5,358

4,925

2,033

1,9734,808

10,853

10,316

9,206

3,984

3,6639,055

2,170

2,242

1,982

752

7451,844

15

17

13

7

14

724

607

708

569

523647

GATANGA 43,902 46.998 90.900 17.485 259 351


47/475


for alt Administrative Areas


FEMALETOTAL i

| No of HHs Sq. Km.Density

NYANDARUADistrict 169,919 175,501 345,420 66,524 3,373 102

NDARAGUA 31.672 34,058 65,730 12.489 874 75

NDARAGUA 9,230 9,938 19,168 3,817 285 67

NDARAGUA

KIANJOGU

KANYAGIA

KIRIOGO

URUKU

2,675

1,274

2,150

2,156

975

2,916

1,398

2,330

2,265

1,029

5,591

2,672

4,480

4,421

2,004

1,205

528

850

831

403

79

52

51

67

36

71

51

88

66

56

LESHAU 5,388 5,938 11,326 2.111 102 111

KARAGO-INI

MBUYU

2,511

2,877

2,710

3,228

5,221

6,105

869

1,242

49

53

107

115

MATHINGIRA 4,855 5,285 10,140 1,832 75 135

LESHAU

NDIVAI

3,867

988

4,182

1,103

8,049

2,091

1,469

363

57

18

141

116

KIRIITA 5,573 6,028 11,601 2.351 47 247

SHAURI

MAIRO-INYA

1,829

3,744

1,988

4,040

3,817

7,784

636

1,715

20

27

191

288


48/475




ADMINISTRATIVE AREA MALE FEMALETOTAL

No of HHsSq. Km. Density

OL-KALOU 32,939 33,510 66,449 12.740 621 107

OL-KALOU 4,358 4.256 8,614 1,867 105 82

MAWINGO

MUNYEKI

1,562

2,796

1,502

2,754

3,064

5,550

582

1,285

50

55

61

101

TUMAINI 7,188 7,202 14,390 2,716 129 112

NGORIKA

KANJUIRI

UPPER GILGIL

KAIMBAGA

4,251

2,143

794

4,689

4,452

1,919

831

4,773

8,703

4,062

1,625

9,462

1,657

722

337

1,967

47

60

22

113

185

68

74

84

GICHUNGO

KANDUTURA

2,716

1,973

2,782

1,991

5,498

3,964

1,220

747

49

64

112

62

DUNDORI 9,892 10,228 20,120 3,656 138 146

MATINDIRI

SABUGO

RUIRU

MELANGINE

1,015

3,755

1,739

3,383

1,055

3,882

1,723

3,568

2,070

7,637

3,462

6,951

398

1,402

626

1,230

29

32

36

41

71

239

96

170

RURII 6,812 7,051 13,863 2,534 136 102

RURII 2,950 3,030 5,980 1,033 64 93


49/475



ADMINISTRATIVE AREAMALE FEMALE TOTAL No Of HHs

Sq. Km. Density

KINANGOP 47.362 48,569 95.931 17.393 868 111

NJABINI 9,328 9.662 18.990 3,569 179 106NJABINI

MURUAKI

TULAGA

5,565

1,738

2,025

5,709

1,777

2,176

11,274

3,515

4,201

2,218

609

742

96

24

59

117

146

71

10,153 10,386 20,539 3,611 257 80

MIKARO

NANDARASI

MKUNGI

KITIRI

1,625

2,608

1,864

4,056

1,620

2,655

1,949

4,162

3,245

5,263

3,813

8,218

654

964

568

1,425

64

50

38

105

51

105

100

78

6.795 6,733 13,528 2,816 92 147

GITWE

KARATI

BABBOO

1,393

2,505

2,897

1,403

2,521

2,809

2,796

5,026

5,706

593

932

1,291

14

38

40

200

132

143

8,966 9,288 18,254 3,160 109 167

MUKEU

RWANYAMBO

GITHABAI

3,585

2,674

2,707

3,637

2,855

2,796

7,222

5,529

5,503

1 >286

924

950

30

17

62

241

325

89

ENGINEER 12,120 12,500 24,620 4,237 231 107

NOTH KINANGOP

MAGUMU

NYAKIO


50/475




ADMINISTRATIVE AREA MALE FEMALE TOTALNo of HHs Sq. KM. Density

NYERI District 295,111 312,181 607,292 130,541 3,266 186

MUNICIPALITY 46,405 45,134 91.539 22,290 167 548

MUKARO 39,632 39,248 78,880 19,366 135 584

MAJENGO

RURINGU/THUNGUMA

KIHUYO

GITHIRU

MURUGURU

KIHATHA

MUNUNGA-INI

GATITU

KARIA

RIAMUKURWE

MARUA

KAMAKWA

MUTHUA-INI

MATHARI

GATATHIINI

KINUNGA

CHORONGI

10,194

5,373

1,063

1,084

1,154

866

1,227

882

1,094

1,339

1,071

4,594

1,727

3,847

1,196

606

2,315

8,284

5,236

1,198

1,289

1,434

944

1,302

885

1,158

1,434

1,050

4,536

1,925

3,964

1,250

681

2,678

18,478

10,609

2,261

2,373

2,588

1,810

2,529

1,767

2,252

2,773

2,121

9,130

3,652

7,811

2,446

1,287

4,993

5,575

3,206

444

473

548

355

530

419

459

530

461

2,432

711

1,480

496

302

945

7

20

5

5

6

4

5

5

4

6

5

7

6

37

3

2

8

2,640

530

452

475

431

453

506

353

563

462

424

1,304

609

211

815

644

624


51/475




ADMINISTRATIVE AREA MALEFEMALE

TOTALNo of HHs

Sq. KM.Density

AGUTHI 13,219 14,646 27,865 5,313 48 581

ITHEKAHUNO

GITITUGATHAITHI

MUNGARIA

GAAKI

GICHIRA

MUTATHIINI

2,333

1,730

2,013

1,068

2,655

1,432

1,988

2,696

1,928

2,108

1,188

3,120

1,657

1,949

5,029

3,658

4,121

2,256

5,775

3,089

3,937

964

715

831

462

1,094

582

665

9

7

6

4

10

6

6

559

523

687

564

578

515

656

TETU 5,494 6.165 11,659 2,231 29 402

KIRURUMI

KIGOGOINIKARAIHU

ICHAGACHIRU

GATUMBIRO

1,394

1,580893

933

694

1,473

1,8171,002

1,051

822

2,867

3,3971,895

1,984

1,516

553

633380

377

288

10

65

5

3

287

566379

397

505

TH EG EN GE 14,846 16,335 31,181 6,483 109 286

KIGWANDI

UNJIRU

KIRIGUINI

KIHORA.KIANJOGU

GATHUTHI

NDUGAMANO

1,098

2,429

1,127

1,3212,653

920

1,301

1,277

2,759

919

1,3642,935

1,023

1,550

2,375

5,188

2,046

2,6855,588

1,943

2,851

480

1,052

415

5691,080

433

667

3

6

3

58

5

5

792

865

682

537699

389

570


52/475



ADMINISTRATIVE AREAKALE FEMALE

TOTALNo of HHs Sq.Km. Density

IRIA-INI 12,633 13,146 25.779 5,442 49 526

GATUNDU

KAIRIAKIAMMANGI

CHEHE

THEGENGE

KAGUYU

2,863

2,1312,153

1,832

1,245

2,409

2,837

2,3602,207

1,942

1,270

2,530

5,700

4,4914,360

3,774

2,515

4,939

1,197

969918

811

550

997

10

65

10

8

10

570

749872

377

314

494

KARATINA 2,716 2,876 5,592 1,976 2 2,796

KIHARU

CHERU

MUTHUA

952

451

1,313

982

592

1,302

1,934

1,043

2,615

750

228

998

0.45

1

1

4,298

1,043

2,615

KONYU 17,266 18,145 35,411 7,746 55 644

KARINDUNDU

GACHUKU

GAKUYU

BARICH0

ITIATI

ICHUGA

2,763

4,664

2,679

2,518

2,300

2,342

2,814

4,917

2,709

2,635

2,559

2,511

5,577

9,581

5,338

5,153

4,859

4,853

1,367

1,949

1,081

1,356

982

1,011

6

15

9

8

9

8

930

639

599

644

540

607

MAGUTU 11,455 12,761 24,216 5,237 131 185

RAGATI

GATHEHU

2,647

2,126

2,899

2.277

5,546

4,403

1,250

866

9

8

616

550


53/475




ADMINISTRATIVE AREA MALE FEMALETOTAL No ofHHs Sq. Km. Density

GAKINDU 6,991 7,946 14,937 3,217 23 649

NJIRUINI

GAKINDU-INI

MBIU-INI

RUTHANJI

1,370

1,796

1,751

2,074

1,547

1,947

1,985

2,467

2,917

3,743

3,736

4,541

620

905

764

928

4

6

6

7

729

624

623

649

GITHII 12,882 14,017 26,899 5,548 58 464

IGANA

KARUNDU

KIREREMA

KIHARO

MIHUTI

ITHANJI

3,170

1,735

2,256

2,156

2,5581,007

3,448

1,829

2,558

2,352

2,6991,131

6,618

3,564

4,814

4,508

5,2572,138

1,297

720

1,040

919

1,132

440

13

8

10

11

9

7

509

446

481

410

584305

GIKONDI 9,737 10,973 20,710 4,154 39 531

THIMU

MUTHUTHI- INI

KARINDI

KARABA

KIIRUNGI

3,134

1,759

1,672

1,276

1,896

3,485

2,026

1,858

1,397

2,207

6,619

3,785

3,530

2,673

4,103

1,284

735

721

538

874

11

7

6

8

7

602

541

588

334

586

MUHITO 8,007 9,373 17,380 3.775 28 621

THIHA

GATURA

1,645

1,219

1,854

1,565

3.499

2,784

763

573

7

5

500

557


54/475




ADMINISTRATIVE AREAMALE FEMALE

TOTALNo of HHs

Sq.Km.Density

IRIAINI 10,598 11,549 22,147 4,495 45 492

GITUNDU

KIANDEMI

THUNGURI

KAIRUTHI

KIAHAGU

IHURIRIO

2,156

1,622

852

1,958

2,110

1,920

2,352

1,813

958

2,032

2,134

2,260

4,508

3,435

1,810

3,970

4,244

4,180

1,168

617

343

783

798

786

6

9

4

8

7

11

751

382

453

496

606

380

KARIMA 9,366 10,599 19.965 4,327 33 605

GURA

THUTI

WITIMA

ITEMEINI

KIHUGIRU

2,070

1,887

1,884

1,617

1,908

2,387

2,104

2,223

1,854

2,031

4,457

3,991

4,107

3,471

3,939

965

794

859

749

960

8

7

7

5

6

557

570

587

694

657

MAHIGA 10,874 11,940 22,814 4,633 42 543

RUKIRA

UGACHIKU

KAMOKO

MUNYANGE

GIKOE

KAGONYE

KIHOME

GITUGI

2,057

1,577

1,620

926

948

1,059

719

990

998

2,208

1,755

1,764

1,078

1,035

1,074

805

1,077

1 144

4,265

3,332

3,384

2,004

1,983

2,113

1,524

2,067

846

688

678

394

410

414

301

450

452

7

5

6

4

5

4

3

5

609

666

564

501

397

528

508

413


55/475




ADMINISTRATIVE AREA MALE FEMALE TOTAL No of HHs Sq.KM. Density

KIENI WEST 28,587 29,049 57.636 11.844 1.051 55

MWEIGA 11,411 11,255 22,666 5,095 625 36

KAMATONGU

AMBONI

MWIYOGO

LABURA

KABATI

THUNG'ARI

3,307

2,357

1,418

1,795

785

1,749

3,056

2,651

1,461

1,951

791

1,345

6,363

5,008

2,879

3,746

1,576

3,094

1,662

919

559

725

291

939

444

18

36

39

29

59

14

278

80

96

54

52

ENDARASHA 6.589 6,955 13,544 2,637 79 171

ENDARASHA

KIAMBOGO

MITERO

GAKANGA

2,285

1,673

1,429

1,202

2,526

1,699

1,501

1,229

4,811

3,372

2,930

2,431

1,002

586

492

557

15

27

14

23

321

125

209

106

GATARAKWA 10,587 10,839 21,426 4,112 347 62

EMBARINGO

KAMARIKI

WATUKA

MUGUNDA

1,417

4,959

1,166

3,045

1,446

4,831

1,307

3,255

2,863

9,790

2,473

6,300

518

1,871

490

1,233

62

177

24

84

46

55

103

75

MT.KENYA FOREST/N PARK 596 513 1,109 249 111 10


56/475




FEMALETOTAL


KILIFI District 282,382 309,521 591,903 89,876 13,006 46

BAHARI 60,022 61.383 121,405 23,250 620 196

ROKA 7,688 8,836 16,524 2,338 106 156

ROKA

UYOMBO/MATSANGONI

3,910

3,778

4,283

4,553

8,193

8,331

1,176

1,162

54

52

152

160

TEZO 16,424 16,686 33,110 6,971 130 255

KILIFI TOWNSHIP

KIBARANI/KONJORA

MTONDIA MAJAONI

7,292

4,320

4,812

6,907

4,934

4,845

14,199

9,254

9,657

3,882

1,392

1,697

12

78

40

1,183

119

241

TUKAUNGU/MAVUENI 8,927 9,147 18,074 3,225 141 128

MAVUENI/MAJAJANI

KIRIBA/WANGWANI

TAKAUNGU/MNARANI

MKWAJUNI/MKOMANI

2,139

1,269

3,561

1,958

2,415

1,311

3,275

2,146

4,554

2,580

6,836

4,104

630

420

1,422

753

22

39

38

42

207

66

180

98

UNJU 8,084 8,452 16,536 3,421 109 152

VIPINGOBOMANI /JUNJU/MTOMKUU

KURUWITU

3,2082,596

2,280

3,1712,832

2,449

6,3795,428

4,729

1,574962

885

4043

26

159126

182


57/475



ADMINISTRATIVE AREA

MALE FEMALE TOTAL

No of HHs Sq.Km.Density

12,087 13,167 25,254 3,564 62 407KISURUTINI/MWELE

KISIMANI/BUNI

KALIANG'OMBE/JIMBA

MAZERAS/MUGUMOWA PATSA

2,548

2,844

3,049

3,646

2,811

3,019

3,359

3,978

5,359

5,863

6,408

7,624

831

751

922

1,060

14

20

18

10

383

293

356

762KAYAFUNGO

6,801 8,427 15,228 1,572 116 131MBALAMWENI

KINAGONI

MIYANI

MURIMANI

2,635

824

1,121

2,221

3,214

1,079

1,388

2,746

5,849

1,903

2,509

4,967

617

173

268

514

54

22

23

17

108

87

109

292MWANAMWIGA

6,219 7,890 14,109 1,452 179 79

KIBWABWANIKITHENGWA .M . CHENDA

VIRAGONI

1,3252,502

2,392

1,6853,134

3,071

3,0105,636

5,463

338565

549

3772

70

8178

78MARIAKANI

12,653 14,290 26,943 4,422 287 94MUNYENZENI

KAWALA

TSANGATSINI

MARIAKANI/MITANGONI

1,669

2,144

2,193

6,647

2,093

2,546

2,638

7,013

3,762

4,690

4,831

13,660

423

601

551

2,847

57

30

128

72

66

156

38

190

RURUMA

11,352 13,333 24,685 3,421 83 297

MWAMTSUNGA 2,548

2 500

2,999

3 068

5,547

5 568

802

805

16

26

347

214

KAYAFUNGO


58/475





FEMALE TOTAL No of HHs Sq. Km. Density

JIBANA 5,050 5,575 10,625 1,362 29 366KWALE/NYALANI

CHILULU

TSAGWA

2,920

1,284

846

3,303

1,439

833

6,223

2,723

1,679

852

310

200

16

4

9

389

681

187

GANZE 39,776 47,870 87,646 10.166 3.137 28

GANZE6,874 8,546 15,420 1.644 345 45 M

MWEZA

PETANGUO

PALAKUMI

TSANHALAWENI

1,070

1,824

2,009

1,971

1,294

2,394

2,510

2,348

2,364

4,218

4,519

4,319

284

412

457

491

72

72

125

76

33

59

36

57

KAUMA4,065 4,646 8,711 997 164 53

VINAGONI

NG'OMBENI/ VYAMBANI

MAGOGONI//MWAPULA

1,738

1,274

1,053

2,003

1,477

1,166

3,741

2,751

2,219

432

301

264

72

33

59

52

83

38

VITENGENI 4,853 5,653 10,506 1.286 252 42

VIENGENI/MADAMANI

MITSEDZINI

DULUKIZA

MILORE

2,725

398

906

824

3,254

453

1,107

839

5,979

851

2,013

1,663

796

105

202

183

80

42

76

54

75

20

26

31


59/475




ADMINISTRATIVE AREA

MALE FEMALE TOTAL No of HHs Sq.Km.Density

MALINDI 93,777 97,084 190.861 30,243 7.605 25

GANDA 8,785 10,067 18,852 2,559 133 142

GANDA

KAKUYUNI/MALIMO

MSABAHA

MADUNGUNI

PAZIANI/KAVUNYALALO

2,104

2,362

2,185

1,063

1,071

2,332

2,727

2,392

1,263

1,353

4,436

5,089

4,577

2,326

2,424

577

642

736

321

283

16

61

20

20

16

277

83

229

116

152

MAGARINI 10,689 12,080 22,769 2,484 24 94

MAMBRUIBOMANI

PUMWANI

MARIKEBUNI

3,9432,314

2,027

2,405

4,3182,663

2,401

2,698

8,2614,977

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Kenya Population Census, 1989 Vol 1 March 1994

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