FOREWORD

FOREWORD

Post-war socio-economic planning and development of our nation is a pressing concern to my Government and its

development partners. Such an onerous undertaking cannot be actualised with scanty, outdated and deficient
databases. Realising this limitation, and in accordance with Article 39 of the 1986 Constitution of the Republic of

Liberia, I approved, on May 31, 2007, “An Act Authorizing the Executive Branch of Government to Conduct the
National Census of the Republic of Liberia”.

The country currently finds itself at the crossroads of a major rehabilitation and reconstruction. Virtually every

aspect of life has become an emergency and in resource allocation, crucial decisions have to be taken in a carefully
planned and sequenced manner.

The publication of the Preliminary Results of the 2008 National Population and Housing Census and its associated

National Sampling Frame (NSF) are a key milestone in our quest towards rebuilding this country. Development
planning, using the Poverty Reduction Strategy (PRS), decentralisation and other government initiatives, will now

proceed into charted waters and Government’s scarce resources can be better targeted and utilized to produce
expected dividends in priority sectors based on informed judgment.

We note that the statistics are not final and that the Final Report of the 2008 Population and Housing Census will
require quite sometime to be compiled. In the interim, I recommend that these provisional statistics be used in all

development planning for and in the Republic of Liberia.

Although Government contributed considerable resources to this project, the requirements were clearly beyond our
capacity and it is with pleasure that we recognize the support of the United Nations Population Fund (UNFPA),

whose timely and continuous intervention gave impetus to the execution of the exercise. We would also like to
thank the United States Agency for International Development (USAID), United Nations Mission in Liberia (UNMIL)

and United Nations Development Programme (UNDP) for being partners on this first phase of the project.

Special gratitude go to the general public for their cooperation and Liberia Institute of Statistics and Geo-Information
Services (LISGIS) for conducting the Census from 21

-30

March, 2008 and for releasing these results timely.

ELLEN JOHNSON-SIRLEAF
President of the Republic of Liberia

OFFICE OF THE PRESIDENT

THE EXECUTIVE MANSION
MONROVIA, LIBERIA.

June, 2008

iii

ACKNOWLEDGEMENT

Liberia now has a reasonable experience in holding censuses. The first census was conducted in 1962, followed
by the 1974 Population and Housing Census. In 1984, the third census programme was executed. Unlike the

censuses before it, the Final Report of the 1984 Population and Housing Census was never published. The
manuscript and most of the data went missing during the civil war. According to United Nations prescriptions,

Liberia should have held two censuses in 1994 and 2004 but the disruptions of civil order could not allow this to
happen.

The 2008 National Population and Housing Census, therefore, was conducted against the background of an almost
complete lack of timely, accurate, sufficient and time series data for socio-economic, political and physical

development planning. In the same vein, not all the required technical expertise for such an undertaking was
available in-country. In addition, although Government of Liberia exhibited very high commitment of political will

and put in considerable amounts of resources, the required levels of financial and other inputs could not have been
provided given the overcrowding of demands from other equally important sectors of the economy.

Notwithstanding, the census programme is adjudged to have been executed within acceptable limits of the highest

international standards, using state-of-the-art technology and expertise at all stages of the census operations. The
extra resources and other support have been coming from a plethora of organisations whose contributions and

moral support are hereunder acknowledged.

Given their mandate and comparative advantage in technical assistance appertaining to all aspects of population
and related data, the United Nations Population Fund (UNFPA) contributed the most to this project through

technical expertise for project setup, development of census publicity and advocacy plan, funding of study tours to
Sierra Leone and Kenya, provision of three full-time international Resident Advisors and an Accountant,

procurement of 11 4WD vehicles and eight motorcycles, cartographic equipment and training for the census
mapping exercise, planning and execution of the pilot census, printing of main census instruments and other

resources for census activities in 2008 (including an international Data Processing Expert). The Government and
people of Liberia wish to put on record their gratitude for this fabulous and invaluable support without which the

entire census programme may not have started in earnest.

We are also grateful to the United States Agency for International Development (USAID) for the provision of some
cartographic equipment, 20 double cabin pickup vehicles, some communication equipment (radio sets, etc.), pilot

census activities and assistance with devising the edit rules.

United Nations Mission in Liberia (UNMIL) supported with provision of satellite maps for urban areas, training of
some GIS staff and maintenance of GIS equipment, movement of enumeration materials to the county (and some

district) headquarters plus provision of security at LISGIS headquarters and in the counties for the entire operation.
In addition, UNMIL Radio supported the publicity and advocacy programme and awareness creation activities.

Also, we wish to mention the contribution of the United Nations Development Programme (UNDP) towards part-

payment of the training allowances of enumerators.

The conduct of the census programme so far has been extremely well received by development partners both
national and international. At the moment, new donors have indicated interest in funding the remaining aspects of

the census budget. The United Nations Children’s Fund (UNICEF) is funding the Post-Enumeration Survey which
is ongoing. Grant resources from the World Bank/PARIS 21 are also funding the main data processing phase of

PREFACE

This success of the first post-war census was a result of dedicated effort of the Census Commission, the
Development Partners, the Board of Directors, the Management and staff of the Liberia Institute of Statistics and

Geo-Information Services (LISGIS) supported by United Nations Population Fund (UNFPA), the Ministry of Internal
Affairs and its local authorities, a total of 11,618 field staff who were deployed throughout the country and the million

of Liberians and Foreign Residents who responded.

The 2008 Population and Housing Census is seen as the most plausible means to obtain recent information on the
population of Liberia. As such, the Census Preliminary Results are being released for decision-makers and

researchers to combine with results from the surveys LISGIS has recently conducted namely: 2007 Liberia
Demographic and Health Survey (2007LDHS), the Core Welfare Indicators Questionnaire, the Poverty participatory

Survey (PPS), the National Establishment Census (NEC), etc. in order to establish an invaluable database for
socio-economic development planning.

Hence, in view of the foregoing and in accordance with international norms, this Census Preliminary Report has

been prepared. It contains the following: Foreword, Acknowledgement, Preface, Introduction, the Census

Cartographic Work, the Provisional Results and Appendices.

Please forward comments and queries to:

T. Edward Liberty

Director-General

Statistics

House,

Sinkor

Tubman

Boulevard

Box

628

Monrovia,

Liberia

Phone:

231-651-9628/231-681-0276

Email:

tedwardliberty@yahoo.com

Dr. T. Edward Liberty
Director-General,

Liberia Institute of Statistics and
Geo-Information Service (LISGIS)

2008 LIBERIA NATIONAL POPULATION AND HOUSING CENSUS

1.0 Introduction

1.1 Background

Demographic data, in addition to other socio-economic data, are needed for development planning. Demographic

information includes indicators like birth rate, death rate, age composition, spatial distribution and migration
patterns. These indicators are related to, and are affected by, socio-economic levels of the population like

employment, occupation, education and health.

In most countries, especially the developing ones, population censuses are the main sources of demographic

statistics. In Liberia, other sources of statistics like vital registration, socio-economic sample surveys, administrative
records and community or civil registration offer very limited demographic statistics mainly because they are not yet

fully operational. In addition, the civil wars in the last two decades made the situation worse by destroying national
data banks. The demographic statistics from the censuses of 1962, 1974 and 1984 and socio-economic surveys

conducted prior to the civil wars are either extremely scanty or completely lost. Furthermore, most of the
demographic statistics that survived the civil war are no longer relevant to the situation on the ground mainly

because of massive population displacements.

In this respect, the Government of Liberia considered the 2008 National Population and Housing Census (NPHC) a
necessary prerequisite for assessing the socio-economic needs of its population and, hence, it attaches great

importance to the determination of the current numbers and distribution of the population in pursuance of its
program for national development. Therefore, the census organization provided for participation at all levels of

Government, civil society and non-governmental organizations through the formation of committees, working in
close collaboration with and under the direct supervision of authority from the Census Commission.

1.2 The

2008

Population

and Housing Census

The mapping exercise that preceded the census canvassed the whole country and drew all boundaries of the
administrative hierarchy and geographically positioned the various localities. Hence, the 2008 Population and

Housing Census (NPHC) will, to a certain extent, bridge the statistics gaps mentioned above by offering national
and sub-national baseline statistics and updated demographic indicators.

Globally, the methodology of census taking has been improving over the years and the 2008 NPHC portrays these
improvements. However, there are two basic additions to this census; foremost, the shift from the de jure censuses

of 1962, 1974 and 1984 to a de facto census in 2008 and, secondly, the inclusion of an Agricultural Module. The de
jure census records usual residents of the household while the de facto one records persons who spent a reference

night in the household. De facto censuses are easier to conduct and, hence, most countries adopt them. Liberia
being a predominantly agricultural country, the ‘Agricultural Module’ was introduced with the aim of generating a

sampling frame that will be used to design and implement agricultural surveys in the future.

The enumeration started on the morning of 21

of March, 2008 and ended in the evening of 30

March, 2008. It

was done by trained enumerators who administered a standard questionnaire to the household heads or any other
knowledgeable household members. Arrangements were made to ensure that special categories of the population

were enumerated; for example, street children who do not live in formal households, in-mates in hotels and
transients at air and sea ports.

THE CENSUS CARTOGRAPHIC WORK

2.1 BACKGROUND

In 2006 the Government of Liberia requested UNFPA’s support to formulate the road map for March 2008
Population and Housing Census. The implementation of the mapping component started in January 2007 and

completed in March 2008. It was mainly funded by UNFPA with additional resources from USAID and executed by
Liberia Institute of Statistics and Geo-Information Services (LISGIS).

The census was carried out using an updated enumeration area (EA) geographic frame which was developed using

modern technologies in GIS and Global Positioning System (GPS). The frame comprises of 7,023 enumeration
areas which were demarcated within the clans/communities.

2.2 METHODOLOGY

A total of 81 persons were recruited, trained and deployed to prepare the enumeration area (EA) maps for the entire
country. They worked in five statistical zones and divided the whole country into EAs using 1:50,000/1:250000

topographical maps and satellite imageries.

Each EA comprising 80 to 120 households was demarcated as far as possible following identifiable physical
features on the ground. They were delineated within the clans (rural areas) or communities (urban areas). All EAs

were assigned geographic codes that identified them uniquely in terms of their geographical location or the
placement within the clans/communities, district and counties.

2.3

THE USE OF EA MAPS

The EA Maps were used for planning, management and administration of the census, particularly for recruitment

and deployment of field staff, and determination of transport and other logistical needs. The enumerators used the
maps to locate their areas and plan the best route of travel in order to cover their area and to mark the location of

houses for possible return visits, etc.

The updated census geographical frame can now be used for population data processing, analysis and
dissemination of census and survey results by administrative units, enumeration areas and localities for efficient

development planning. It can also be used as sampling frame for sample surveys and for the delimitation of
electoral districts for presidential, parliamentary and local Government elections in Liberia.

3. The Provisional Results

3.1 Total Population Counts: 2008 National Population and Housing Census

According to the provisional results of the 2008 Population and Housing Census of Liberia, the population was

3,489,072 on the night of 20

/21

March, 2008. This figure falls between the official population projection estimate

of 3,238,000 and the population estimate of 3,511,618 calculated using the number of households generated from

the geographic mapping exercise and relative household sizes of the respective counties in the pilot census. Also,
the United Nations Development Program’s Human Development Report (UNDP’s HDR) 2007/2008 gives an

estimated population of 3,442,000 for Liberia. If this UN HDR estimate is projected to 20

/21

March 2008 (census

night) using the observed yearly increase, the population would be 3,598,087. This figure varies from the

preliminary census total by 109,015, or 3.1 percent. Given the population in 1984 as 2,101,628, there has been a

rise of 1,387,444 people and this increasing trend has been seen since 1962 (Figure 1).

Figure 1: Population Change, 1962-2008

4000

3,489

3500

3000

2500

2,102

2000

1,503

1500

1,016

1000

500

1962

1974

1984

2008

Year

Population (thousands)

The average annual increase rose between 1974 and 1984 but had declined slightly by 2008 (Table 1). Further in
the table, is shown that the growth rate, mean yearly percentage change and average annual increases were

appreciably high and increasing in the seventies and eighties but the current situation shows a decreasing trend.

Table 1: Population Trend, 1962 – 2008

Index

1962 1974 1984 2008

Population 1,016,443

1,503,368 2,101,628 3,489,072

Population change

486,925

598,260

1,387,444

Average annual increase

40,577

59,826

57,810

Percentage

increase

- 48 40 66

Annual rate of growth

3.3

3.4

2.1

In comparison with other countries around the region, the population size of Liberia is relatively small. This
notwithstanding, the yearly rate of growth of the nation at slightly over two percent is still on the high side. As can

be demonstrated, Table 2 shows that similar post-conflict countries in Africa have lower rates of population growth.
The rate in Liberia looks more like those for Sub-Saharan countries that have not been engaged in civil wars.

Country

Year

Population

Growth Rate

Liberia***

2008

3,489,072

2.1

Sierra Leone**

2004

4,976,871

177

1.8

Cote d’Ivoire*

2005

18,154,000

143

1.6

Sudan*

2005

36,233,000

1.9

Guinea*

2005

9,402,000

2.2

Ghana*

2005

22,113,000

238

2.1

Nigeria*

2005

131,530,000

364

2.2

Table 2: Population, Density and Growth Rate of some Sub-saharan African Countries

Density (sq. m.)

Sources: *United Nations: World Population Policies 2005, Department of Economic Affairs, Population Division,

ST/ESA/SER.A/254: New York, 2006

**Government of Sierra Leone, 2004 Population and Housing Census

***Government of Liberia, 2008 National Population and Housing Census

3.2 Population Doubling Time

This statistic summarizes the way the population grows. It tells of the number of years that a given population is
expected to double if it continues to grow at an observed annual rate.

The total population of Liberia would double the 2008 figure in 34 years (i.e., by 2042) if the observed annual

growth rate of 2.1 percent persists into the future. It can be said that this is a relatively short period of time within
which the provision of all public goods and facilities should also double if only to maintain the current standard of

living and service provision to the population.

3.3 Sex Composition

The index for measuring the sex composition of the population is the sex ratio, defined as the number of males per
100 females. A sex ratio of 100 tells that there are about equal numbers of males and females. A ratio higher than

100 depicts an excess of males and less than 100 an excess of females in the population. The sex ratio should be
close to 100 if a country has not experience wars or sex selective migration or both in the recent past.

In 2008, 1,764,555 males and 1,724,517 females were enumerated in the census. In Table 3, it is shown that the
calculation of the overall sex ratio gave a result of 102.3, virtually the same as that for 1984. At the county level,

there is a general trend towards increasing sex ratios. The sex ratios were high for 11 out of 15 counties (including
the five least peopled and all of the medium sized counties) and they were least in Lofa and Bong counties which

recorded 93.0 and 97.0 respectively. The most significant increases in sex ratio occurred in Grand Cape Mount,
Grand Gedeh, Grand Kru and Gbarpolu counties whilst the drop was most pronounced in Lofa, Grand Bassa and

Montserrado.

3.4 Average Household Size

The number of persons per household is an important index in planning for the population since most of the people
can be found in such social arrangements. The mean household size declined from 6.2 in 1984 to 5.1 in 2008

(Table 4). This implies that at the household level, there are now fewer numbers of people living and eating
together. The household size normally reduces in a situation of increasing urbanization and modernization, and as

people become more educated and individualistic.

Table 3: Population and Sex Ratios

County

2008 Population

Sex Ratio

Male

Female

1984*

2008

Bomi

41,807

40,229

108.0

104.0

Bong

161,928

166,991

96.3

97.0

Gbarpolu

44,376

39,382

101.7

112.7

Grand Bassa

111,861

112,978

109.6

99.0

Grand Cape Mount

66,922

62,133

89.2

107.7

Grand Gedeh

65,062

61,084

96.3

106.5

Grand kru

29,330

27,776

91.8

105.6

Lofa

130,143

139,971

107.8

Margibi

99,900

99,789

100.1

Maryland

70,725

65,679

98.9

107.7

Montsserado

585,833

558,973

117.8

104.8

Nimba

232,700

235,388

95.9

98.9

Rivercess

33,860

32,002

99.0

105.8

Rivergee

35,360

31,958

96.2

110.7

Sinoe 54,748

50,184

103.1

109.1

TOTAL

1,764,555

1,724,517

102.0

102.3

*The populations used were those that were derived for the respective counties after accounting for boundary changes between 1984 and
2008

In specific terms, apart from Bong, Margibi and Nimba counties where the household size tended to remain the

same, the rest of the counties were almost evenly split in terms of counties with rising household sizes and those
that experienced a decline in the 1984-2008 inter-censal period. The national household size of 5.1 was exceeded

in eight of the fifteen counties. The most dramatic fall in household sizes were in River Cess County while the
reverse is true for Grand Gedeh, Maryland and River Gee.

3.5 Population Distribution

The concept of “population distribution” relates the spread of the population to geographic subdivisions of the
country. These may be clans, districts or counties. Population distribution can be illustrated using population totals

or by relating these to the actual land area on which the people live.

County

Annual

Growth

Rate (%)

1984*

2008

1984-2008

1984 2008

Bomi

66,420

82,036

0.9

4.0

3.4

Bong

255,813

328,919

1.0

4.9

4.7

Gbarpolu

48,399

83,758

2.3

4.6

5.6

Grand Bassa

159,648

224,839

1.4

4.0

5.4

Grand Cape Mount

79,322

129,055

2.0

4.5

4.8

Grand Gedeh

63,028

126,146

2.9

5.2

7.6

Grand kru

62,791

57,106

-0.4

4.9

5.3

Lofa

199,242

270,114

1.3

5.2

4.4

Margibi

151,792

199,689

1.1

4.5

4.8

Maryland

69,267

136,404

2.8

5.8

7.8

Montsserado

491,078

1,144,806

3.5

5.4

4.7

Nimba

313,050

468,088

1.7

5.8

5.9

Rivercess

37,849

65,862

2.3

5.9

4.5

Rivergee

39,782

67,318

2.2

5.4

7.0

Sinoe

64,147

104,932

2.1

6.6

5.8

TOTAL

2,101,628

3,489,072

2.1

6.1

5.1

Size

Average

Table 4: Population, Growth Rates and Average Household Size

Population

Household

*Population of respective counties after accounting for boundary changes between 1984 and 2008

3.5.1 Distribution of Population Aggregates

Table 5 displays information on population by surface area and density. The total national population is seen to be

unevenly distributed among the counties (see Figure 2). Ever since 1984, the population distribution favours the
‘big six’ – Montserrado, Nimba, Bong, Lofa, Grand Bassa and Margibi counties; in descending order of magnitude.

They account for 75.2 percent of the total population count; up by 0.7 percent what it was in 1984. A more
revealing picture is that three counties – Montserrado, Nimba and Bong counties – hold exactly 56 percent of the

population.

From the other end of the scale, the ‘small five’ – Grand Kru, River Cess, River Gee, Bomi and Gbarpolu counties –
continue to hold the least population totals. They together have 10.0 percent of the national count and each of

them contributed less than 2.5 percent (Table 5). The fact that the bottom set of five counties in 1984 had a
population of 12.0 percent shows that there has been a tendency for the population to gravitate towards counties

with higher populations during the inter-censal period.

3.5.2 Population Density

“Population density” is a statistical measurement of the man-land relationship expressed in terms of number of

persons per square kilometers or miles. In assuming a uniform distribution, population density gives the scatter of
the population over the land area of a country, county, district or clan.

In 2008, the population density of Liberia was 93 persons per square miles. This represents a 66 percent rise over

the figure of 56 attained in 1984. Compared with some sub-Saharan nations, population density in Liberia is
moderate by African standards (see Table 2) on page 6.

The national density was exceeded only in the counties of Montserrado, Margibi, Maryland, Bomi, Nimba and Bong

(Appendix 1). A bird’s eye view of the spread of the population reveals that a north-east south-west line drawn
across Liberia from the bulge in Nimba County clearly divides the country roughly into a western populous and an

eastern depopulated half as depicted in Figure 3.

Statistically, the pattern of population concentration follows a four-way divide as enumerated below:

(a)

Very densely populated – Montserrado County is the only qualifier in this category, being the most
densely packed in Liberia. The population density is over 1,500 persons per square mile and can be

much higher in Monrovia and its environs. It has the highest total population (over 32 percent of the
national population) and the least land and very small area (Appendix 1); both being indicators that

enhance this situation. The city, Monrovia, is located here, with the plentiest of opportunities for
employment, abundance of social amenities, administrative hub of the republic, the busiest seaport,

better communication and transport connections, greatest endowed in terms of physical infrastructure
and, also, the business capital.

AREA

PERCENT

(SQ. M)

1984*

2008

1984*

2008

1984*

2008

Bomi

66,420

82,036

3.1

2.4

750

109

Bong

255,813

328,919

12.2

9.4

3387

Gbarpolu

48,399

83,758

2.3

2.4

3741

Grand Bassa

159,648

224,839

7.6

6.5

3064

Grand Cape Mount

79,322

129,055

3.8

3.7

1993

Grand Gedeh

63,028

126,146

3.0

3.6

4048

Grand kru

62,791

57,106

3.0

1.6

1504

Lofa

199,242

270,114

9.5

7.8

3854

Margibi

151,792

199,689

7.2

5.7

1010

150

198

Maryland

69,267

136,404

3.3

3.9

887

154

Montsserado

491,078

1,144,806

23.3

32.8

737

666

1,553

Nimba

313,050

468,088

14.9

13.4

4460

105

Rivercess

37,849

65,862

1.8

1.9

2160

Rivergee

39,782

67,318

1.9

1974

Sinoe

64,147

104,932

3.1

3.0

3914

NATIONAL TOTAL

2,101,628

3,489,072

100.0

37482

Table 5: Population, Surface Area and Density (1984 and 2008)

COUNTY

POPULATION

DENSITY

*The populations used were those that were derived for the respective counties after accounting for boundary changes between

1984 and 2008

(b)

Dense population concentrations – These can be found in the counties of Margibi, Mayland, Bomi and

Nimba with densities falling between 100-199 persons per square mile (Figure 3). With the exception
of Nimba County, the others have relatively small landmasses with high population totals that condition

the high densities. Other conditioning factors include better transport and communication facilities,
fertile agricultural lands, local alluvial mining activities and presence of international mining and

agricultural companies, and opportunities for trade with contiguous West African countries.

(c)

Moderate population densities – The counties that hold moderate population concentrations (50-99
persons per square mile) generally have large land masses and high population totals. They include

Bong, Lofa, Grand Bassa and Cape Mount. The advantages of local alluvial diamond and gold mining,
being hosts to former mining and agricultural companies, fertile arable lands for farming, moderate

transport and communication facilities, and local trade attract and hold populations in these counties.

(d)

Sparse population areas – The rest of the country comprising Gbarpolu, Grand Gedeh, Grand Kru,
River Cess, River Gee and Sinoe counties are sparsely populated. They typically have densities

between 22 and 38 persons per square mile. The disadvantages of difficult relief and poor
communication and transport lines, heavy forest cover in parts of Grand Gedeh, Sinoe, River Gee and

Gbarpolu, scanty other physical infrastructure and social amenities, and generally low employment
opportunities are some of the reasons for the low population densities in these areas.

3.6 Population of Major Urban Areas

In Liberia, a settlement is urban when its population is 2,000 and above. The major urban centres in the country,

according to the preliminary data of the 2008 Population and Housing Census, are presented in two tables in the
Appendices. Appendix 1 and Figure 4 display information on the county headquarters by sex. The total population

in these areas is 231,127, representing 6.6 percent of the national. Buchanan in Grand Bassa County is the largest
county headquarters and Cesstos City in River Cess County is the least. The table also shows that the county

headquarters collectively have more females than males.

In addition, according to the preliminary data of the 2008 National Population and Housing Census, the major urban
centres in the country with 5,000 persons and above are given in Appendix 2. The information immediately reveals

the vast difference between Monrovia and the rest of the urban areas. In comparison with the data in Appendix 1,
Monrovia alone is more than four times greater than the combined population of all county headquarters. The fact

that of the urban areas with 5,000 or more people only four are not county headquarters goes to tell that there is a
strong correlation between administrative ascription, centrality and urbanization in Liberia.

In terms of geographic spread, Figure 5 shows that the major urban settlements are unevenly spread across the

country. Thirteen of the settlements are found in the western half of the country, leaving the eastern half with only
five major urban centers. Nimba County has four of the 18 large urban complexes followed by Lofa with three. But

for Margibi and Maryland having two apiece, the rest of the counties have either one or none.

APPENDICES

Appendix 1: Population of County Headquarters, 2008

County County

Male

Female

Total

Headquarters

Bomi

Tubmanburg

6,555

6,559

13,114

Bong

Gbarnga

16,080

17,966

34,046

Gbarpolu

Bopolu

1,547

1,361

2,908

Grand Bassa

Buchanan

16,984

17,286

34,270

Grand Cape Mount

Robertsport

1,994

1,939

3,933

Grand Gedeh

Zwedru

11,828

12,075

23,903

Grand Kru

Barclayville 1,380

1,353

2,733

Lofa Voinjama

13,343

13,251

26,594

Margibi Kakata

16,501

17,444

33,945

Maryland Harper 9,082

8,755

17,837

Montserrado Bensonville 2.087

2,002

4,089

Nimba Sanniquellie

5,375

6,040 11,415

River Cess

Cesstos City

1,341

1,237

2,578

River Gee

Fish Town

1,656

1,672

3,328

Sinoe Greenville

7,719

8,715

16,434

Total -

113,472

117,655 231,127

Appendix 2: Urban areas of 5,000 or more persons, 2008 (Rank Order)

City/Town County

Male

Female

Total

Monrovia Montserrado 519,887

491,083 1,010,970

Ganta Nimba

19,600

21,506

41,106

Buchanan

Grand bassa

16,984

17,286

34,270

Gbarnga Bong

16,080

17,966

34,046

Kakata Margibi

16,501

17,444

33,945

Voinjama Lofa

13,343

13,251

26,594

Zwedru Grand

Gedeh

11,828

12,075

23,903

Harbel Margibi

11,875

11,527

23,402

Pleebo Maryland

11,333

11,630

22,963

Foya Lofa

9,710

9,812

19,522

Harper Maryland

9,082

8,755

17,837

Greenville Sinoe

7,719

8,715

16,434

Tubmanburg Bomi

6,555

6,559

13,114

Sacleapea Nimba

5,833

6,284

12,117

Sanniquellie Nimba

5,375

6,040 11,415

Karnplay Nimba

3,584

4,080

7,664

River Gbeh

River Gee

3,838

3,475

7,313

Zorzor Lofa

2,493

2,638

5,131

COUNTY/District

Male

Female

Total

Dowein 6,373

6,410

12,783

Klay 10,990

11,365

22,355

Senjeh 15,004

14,321

29,325

Suehn Mecca

9,440

8,133

17,573

Bomi Total

41,807

40,229

82,036

BONG

Boinsen 4,060

4,292

8,352

Fuamah 13,976

13,808

27,784

Jorquelleh 37,959

40,844

78,803

Kokoyah 1,826

1,881

3,707

Kpaai 12,461

12,666

25,127

Panta

7,909

8,417

16,326

Salala 21,112

20,870

41,982

Sanoyeah 15,228

15,704

30,932

Suakoko 13,847

14,430

28,277

Tukpahblee 5,767

6,000

11,767

Yeallequelleh 18,319

18,600

36,919

Zota

9,464

9,479

18,943

Bong County Total

161,928

166,991

328,919

Belleh 9,167

8,121

17,288

Bokomu 5,338

5,122

10,460

Bopolu 9,890

8,408

18,298

Gbarma 8,567

7,405

15,972

Gounwolaila 4,007

4,108

8,115

Koninga 7,407

6,218

13,625

Gbapolu Total

44,376

39,382

83,758

GBARPOLU

BOMI

Appendix 3: Population by county, district and sex-2008

COUNTY/District

Male

Female

Total

Commonwealth 16,984

17,286

34,270

District # 1

12,762

12,418

25,180

District # 2

14,105

14,364

28,469

District # 3

24,084

23,637

47,721

District # 4

16,583

16,597

33,180

Neekreen 15,574

16,484

32,058

Owensgrove 6,645

7,042

13,687

St. John River City

5,124

5,150

10,274

Grand Bassa Total

111,861

112,978

224,839

Commonwealth 3,418

3,466

6884

Garwula 14,911

14,460

29371

Golakonneh 13,280

10,650

23930

Porkpa 21,270

19,651

40921

Tewor 14,043

13,906

27949

Grand Cape Mount Total

66,922

62,133

129055

B'hai 4,698

5,085

9,783

Cavala 7,114

6,803

13,917

GBAO 6,130

6,067

12,197

Gboe-Ploe 4,355

4,164

8,519

Glio-Twarbo 5,193

4,759

9,952

Konobo 11,326

10,098

21,424

Putu 10,970

8,917

19,887

Tchien 15,276

15,191

30,467

Grand Gedeh Total

65,062

61,084

126,146

GRAND BASSA

Appendix 3: Population by county, district and sex-2008 (continued)

GRAND GEDEH

GRAND CAPE MOUNT

COUNTY/District

Male

Female

Total

Barclayville

5,416

5,488

10,904

Bleebo

868

941

1,809

Bolloh

1,032

859

1,891

Buah

348

301

649

Dorbor

986

949

1,935

Dweh

470

465

935

Felo-Jekwi

1,076

1,118

2,194

Fenetoe

892

850

1,742

Forpoh

566

522

1,088

Garraway 5,319

4,407

9,726

Gee

1,254

1,298

2,552

Grand Cess Wedabo

5,298

5,173

10,471

Kpi

846

757

1,603

Lower Jloh

613

599

1,212

Nrokwia-Wesldow

1,018

860

1,878

Trenbo

2,024

1,888

3,912

Upper Jloh

948

969

1,917

Wlogba

356

332

688

Grand Kru Total

29,330

27,776

57,106

Foya 34,760

36,604

71,364

Kolahun 27,936

31,121

59,057

Salayea 11,061

11,907

22,968

Vahun 8,509

8,367

16,876

Voinjama 20,026

20,704

40,730

Quardu Bondi

8,926

9,841

18,767

Zorzor

18,925

21,427

40,352

Lofa Total

130,143

139,971

270,114

GRAND KRU

Appendi 3: Population by county, district and sex-2008 (continued)

LOFA

COUNTY/District

Male

Female

Total

Firestone 28,757

28,494

57,251

Gibi 6,696

6,536

13,232

Kakata 44,327

43,803

88,130

Mambah Kaba

20,120

20,956

41,076

Margibi Total

99,900

99,789

199,689

Gwelekpoken 5,327

4,548

9,875

Harper 19,362

17,927

37,289

Karluway#1 3,987

3,552

7,539

Karluway#2 9,448

8,569

18,017

Nyorken 5,863

5,298

11,161

Pleebo/Sodoken 21,951

21,629

43,580

Whojah

4,787

4,156

8,943

Maryland Total

70,725

65,679

136,404

Carreysburg

14,459

14,004

28,463

Commonwealth

4,466

4,671

9,137

St. Paul River

30,596

32,945

63,541

Todea

16,425

16,270

32,695

Greater Monrovia

519,887

491,083

1,010,970

Montserrado Total

585,833

558,973

1,144,806

Boe & Quilla

9,014

8,896

17,910

Buu-Yao 19,220

19,359

38,579

Doe 19,486

19,577

39,063

Garr-Bain

29,044

31,218

60,262

Gbehlay-Geh 15,791

16,670

32,461

Gbi & Doru

3,933

3,811

7,744

Gbor

5,368

5,465

10,833

MARGIBI

Appendix 3: Population by county, district and sex-2008 (continued)

MARYLAND

NIMBA

MONTSERRADO

COUNTY/District

Male

Female

Total

Kparblee

5565

5726

11291

Leewehpea

12,693

12,447

25,140

Meinpea-Mahn

12,051

11,908

23,959

Sanniquellie Mahn

12,081

12,830

24,911

Twa River

19,458

19,753

39,211

Wee-Gbehy-Mahn

15,289

16,094

31,383

Yarmein

13,074

13,059

26,133

Yarpea Mahn

11,318

10,466

21,784

Yarwein Mehnsonnoh

15,442

13,307

28,749

Zoe Gbao

13,873

14,802

28,675

Nimba Total

232700

235388

468,088

Beawor 1,953

1,732

3,685

Central Rivercess

4,373

3,728

8,101

Doedain 6,772

6,412

13,184

Fen River

5,141

5,246

10,387

Jo River

4,493

4,057

8,550

Norwein 6,211

6,006

12,217

Sam Gbalor

1,824

1,889

3,713

Zarflahn 3,093

2,932

6,025

Rivercess Total

33,860

32,002

65,862

Chedepo 5,816

5,350

11,166

Gbeapo 5,744

4,975

10,719

Glaro 2,622

2,422

5,044

Karforh 3,595

3,376

6,971

Nanee 3,368

2,518

5,886

Nyenawliken 2,667

2,431

5,098

NIMBA (continued)

Appendix 3: Population by county, district and sex-2008 (continued)

RIVERCESS

RIVER GEE

Appendix 3: Population by county, district and sex-2008 (concluded)

COUNTY/District

Male

Female

Total

Potupo 3,244

3,249

6,493

Sarbo 2,664

2,495

5,159

Tuobo 2,580

2,471

5,051

Nyenebo

3060

2671

5731

River Gee Total

35,360

31,958

67,318

Bodae

1,804

1,226

3,030

Bokon

2,480

1,937

4,417

Butaw

2,046

1,846

3,892

Dugbe River

4,614

4,469

9,083

Greenville

7,719

8,715

16,434

Jaedae

1,878

1,739

3,617

Jeadepo

4,649

3,947

8,596

Juarzon

3,117

3,034

6,151

Kpayan

5,221

4,822

10,043

Kulu Shaw Boe

4,485

4,255

8,740

Plahn Nyarn

3,548

3,257

6,805

Pynes Town

1,924

2,243

4,167

Sanquin Dist# 1

1,080

1,038

2,118

Sanquin Dist# 2

1,966

1,439

3,405

Sanquin Dist# 3

1,752

1,422

3,174

Seekon

4,162

3,022

7,184

Wedjah

2,303

1,773

4,076

Sinoe Total

54,748

50,184

104,932

1,764,555

1,724,517

3,489,072

SINOE

RIVER GEE (CONTINUED)

LIBERIA (GRAND TOTAL)