Private Sector Mapping Report Secondary Data Analysis
Transcript of Private Sector Mapping Report Secondary Data Analysis
Private Sector Mapping Report
Secondary Data Analysis November 2019
This publication was produced at the request of the United States Agency for International Development
(USAID). It was prepared independently by Social Impact, Inc., under the Liberia Strategic Analysis activity.
ii
CONTENTS Abbreviations and Acronyms ....................................................................................................................... iii
Background ................................................................................................................................................... 1
Country Overview ......................................................................................................................................... 1
Business Types .............................................................................................................................................. 3
Ownership Type ............................................................................................................................................ 7
Gender ........................................................................................................................................................ 12
Geolocation Nationality .............................................................................................................................. 17
Conclusion ................................................................................................................................................... 19
Annex 1: Summarized NEC Data ................................................................................................................. 21
iii
Abbreviations and Acronyms
Economic Community of West African States
ECOWAS
Economic Co-operation and Development
OECD
Focus Group Discussion
FGD
Key Informant Interview
KII
Limited Liability Company
LLC
National Establishment Census
NEC
Non-governmental organization
NGO
Pro-Poor Agenda for Prosperity and
Development
PAPD
Small and Medium-sized Enterprises
SME
Background This Private Sector Mapping Report, provides secondary data analysis of the Liberian 2017
National Establishment Census (NEC). The findings of the secondary analysis of the NEC dataset
will inform USAID/Liberia’s approach to supporting Liberia’s private sector to address constraints
to growth and leverage opportunities to partner and support the Mission’s objective of market-
driven, inclusive economic growth supporting increased job creation.
The mapping exercise will comprise of two phases that will culminate into a Private Sector
Mapping Report:
• Phase 1: Secondary data analysis of the National Establishment Census (NEC) survey data
that will help inform the development of the survey tool for Key Informant Interviews
(KIIs) and Focus Group Discussions (FGDs).
• Phase 2: Primary data collection via KIIs and FGDs with key private sector actors that will
triangulate the secondary data analysis from Phase I and provide solid information for the
Mission’s decision-making processes in the private sector.
The NEC dataset contains the basic information of the Liberian businesses operating during 2017.
The purpose of this report is to analyze and interpret the NEC data based on the parameters
that the NEC dataset provides us, including; business geographical information, main economic
activity, turnover, number of employees, the gender of ownership, and ownership by nationality.
This information is not only important for National Accounts in having a complete business listing
but is also useful for Government Ministries and Agencies, the private sector/business community,
students, researchers, Non-governmental organizations (NGOs), and international partners. It
provides an oversight of the distribution of economic activity according to the sector, estimated
turnovers, and characteristics of owners and employees. In order to build Liberia’s economy,
accurate information of all economic activities is crucial for all actors involved.
Country Overview Liberia has a young society where 43.72% of its 4,809,768 population are under 14 years old, and
19.9% are between 15 and 24 years old1. Against this background, one can observe that in less
than a decade, the Liberian economy will have enormous human resources for its economic
activities.
Liberia GDP was 3.25 USD billion for the year 2018. The GDP growth dropped from 2.5% in
2017 to 1.2% in 20182. Meanwhile, based on the World Bank overview of the Liberian economy
in 2018, the GDP growth of 1.2% is due to the expansion in the Liberian mining sector, while the
non-mining sector didn’t expand since the year 2017.3
1 Central Intelligence Agency. (2019). Liberia. In The world factbook. Retrieved from
https://www.cia.gov/Library/publications/the-world-factbook/geos/li.html 2 The Heritage Foundation, Accessed September 15, 2019.
https://www.heritage.org/index/country/liberia 3 World Bank, Available here: https://www.worldbank.org/en/country/liberia/overview
2
Among significant factors shaping the reduction in Liberian GDP growth is dim economic freedom
that has a direct impact on the Liberian private sector size and its scope of work. In terms of
economic freedom, with a score of 49.7, Liberia holds the 160th freest economy in 20194.
According to "2019 Investment Climate Statements: Liberia" conducted by the U.S. Department
of State: "In Liberia, the business climate remains very challenging; corruption is endemic and a
hindrance to investment."5 The Liberian government has launched the Pro-Poor Agenda for
Prosperity and Development (PAPD) in 2018, particularly to empower the private sector.
However, subsidies that are granted on the current account made by the general government to
private enterprises potentially are inefficient in the absence of free-market mechanisms.
Furthermore, such a lack of competent economic structure can directly or indirectly shape the
sociopolitical status of a country.6
Since the market system is not completely separated from the political dynamics, free trade,
which is the result of the integration
of the global economy, provides
more domestic freedom. With
democratic governance in place,
both legislative and judicial branches,
along with institutions controlled by
the executive branch, can monitor,
investigate, and track the practices
of the private sector system. In the
Freedom House categorization,
Liberia is considered as “Partly
Free.” 7After a decade of peace and
stability, the sociopolitical structure
of the country has not shown
improvement, and in terms of Civil
Liberty, its score dropped from “4”
to “3” from 2017 to 2018.8
Additionally, the Liberian private and non-governmental sectors do not have a compelling
involvement in one of the most significant economic sectors-i.e. agriculture. Based on the
4 The Heritage Foundation. Available here: https://www.heritage.org/index/country/liberia 5 https://www.state.gov/reports/2019-investment-climate-statements/liberia/ 6 GOL Pro-Poor Agenda for Prosperity and Development, available here: https://www.emansion.gov.lr/doc/Pro-
Poor%20Agenda%20For%20Prosperity%20And%20Development%20book%20for%20Email%20sending%20(1).pdf%
20-%20Compressed.pdf 7 Based on the definition provided in Freedom House Methodology 2019: “The average of a country or territory’s
political rights and civil liberties ratings is called the Freedom Rating, and it is this figure that determines the status
of Free (1.0 to 2.5), Partly Free (3.0 to 5.0), or Not Free (5.5 to 7.0)”. Available here:
https://freedomhouse.org/report/methodology-freedom-world-2019 8 Freedom House, Freedom in the World Comparative and Historical Data, Accessed September 15, 2019.
https://freedomhouse.org/report-types/freedom-world
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
CL PR
Figure 1: Civil Liberty and Political Right Scores for Liberia Source: Freedom House
3
World Factbook9, 34% of the Liberian GDP in the year 2017 was coming from Agricultural
activities10. However, based on the NEC, only 0.05% of the Liberian private sector is working in
Agricultural activities-i.e. Twenty-five out of 17,101 enterprises listed in the NEC.
Business Types In terms of the size of the enterprises and enterprises which make up the Liberian private and
non-governmental sector, there are four classifications: micro, small, medium, and large.
Based on Organization for Economic Co-operation and
Development (OECD) definition: "Enterprises can be classified
in different categories according to their size; for this purpose,
different criteria may be used, but the most common is the
number of people employed. In small and medium-sized
enterprises (SMEs), fewer than 250 people are employed.
SMEs are further subdivided into micro-enterprises (fewer
than 10 employees), small enterprises (10 to 49 employees),
medium-sized enterprises (50 to 249 employees), and large
enterprises employ 250 or more people."11
There are both advantages and disadvantages for a developing
country when the majority of its private enterprises are
comprised of small or medium enterprises. A small business is
not as sustainable as a large business. On the other hand, if
small enterprises are provided the financial resources to
become medium and large businesses, they can boost up the
economy. In Liberia, approximately 87% of the private and
non-governmental sectors are categorized as small and micro
businesses, 8% as medium enterprises, and 5% as large
businesses.
According to the 2017 NEC, 68% of the private and non-
governmental sector enterprises are working in Wholesale
and Retail Trade; repair of motor vehicles and motorcycles.
Figure 3 also indicates that the majority of the Liberian private
sector business enterprises’ activities revolve around non-productive activities.
9 The overall composition of Liberian GDP by sector based on World Factbook: agriculture: 34% (2017 est.),
industry: 13.8% (2017 est.), services: 52.2% (2017 est.) Available here: https://www.cia.gov/Library/publications/the-
world-factbook/geos/li.html 10 Central Intelligence Agency. (2019). Liberia. In The world factbook. Retrieved from:
https://www.cia.gov/Library/publications/the-world-factbook/geos/li.html 11 Organisation for Economic Co-operation and Development, Available here:
https://data.oecd.org/entrepreneur/enterprises-by-business-size.htm
9241370
10119
4688
0
2000
4000
6000
8000
10000
12000
5%8%
59%
28%
0%
20%
40%
60%
80%
100%
Figure 2: Liberian Private Sector based on Size of the Business Source: 2017 NEC
4
1
4
6
14
19
25
39
48
50
109
135
160
220
267
294
513
1012
1143
1337
11705
0 5000 10000 15000
Public administration anddefence; compulsory social…
Real estate activities
Water supply; sewerage,waste management and…
Mining and quarrying
Activities of extraterritorialorganizations and bodies
Agriculture, forestry andfishing
Construction
Electricity, gas, steam and airconditioning supply
Transportation and storage
Administrative and supportservice activities
Professional, scientific andtechnical activities
Arts, entertainment andrecreation
Financial and insuranceactivities
Human health and socialwork activities
Information andcommunication
Other service activities
Manufacturing
Accommodation and foodservice activities
Education
Wholesale and retail trade;repair of motor vehicles…
Figure 3: Liberian Private Sector by Business Sector
Source: 2017 NEC
0.01%
0.02%
0.04%
0.08%
0.11%
0.15%
0.23%
0.28%
0.29%
0.64%
0.79%
0.94%
1.29%
1.56%
1.72%
3%
5.90%
6.68%
7.82%
68.45%
0.00
%
10
.00
%
20
.00
%
30
.00
%
40
.00
%
50
.00
%
60
.00
%
70
.00
%
80
.00
%
90
.00
%
10
0.00
%
Public administration anddefence; compulsory social…
Real estate activities
Water supply; sewerage,waste management and…
Mining and quarrying
Activities of extraterritorialorganizations and bodies
Agriculture, forestry andfishing
Construction
Electricity, gas, steam and airconditioning supply
Transportation and storage
Administrative and supportservice activities
Professional, scientific andtechnical activities
Arts, entertainment andrecreation
Financial and insuranceactivities
Human health and social workactivities
Information andcommunication
Other service activities
Manufacturing
Accommodation and foodservice activities
Education
Wholesale and retail trade;repair of motor vehicles and…
5
For other economic sectors, 8% of the Liberian private and non-governmental sectors are
involved in education, 6% in accommodation and food service activities, approximately 5% in
manufacturing, and approximately 3% working in other service activities. The rest of the 10% are
working in the following diverse group of sectors: public administration and defense; compulsory
social security, real estate activities, water supply; sewerage, waste management and remediation
activities, mining and quarrying, activities of extraterritorial organizations and bodies, agriculture,
forestry and fishing, construction, electricity, gas, steam and air conditioning supply,
transportation and storage, administrative and support service activities, professional, scientific
and technical activities, arts entertainment and recreation, financial and insurance activities,
human health and social work activities, and information and communication. Figure 3 indicates
the number of business entities for each economic activity listed in the 2017 NEC.
Figure 4 indicates the number of Liberian business enterprises by their Annual Turnover. The
percentage of entities in private and non-governmental sectors, with annual turnovers that
exceed LD$ 800,001 (US$ 6,400),12 was 4% of all the sectors. The percentage for those that had
an annual turnover of LD$ 200,001-800,000 (US$ 1,600-6,400) is approximately 9% and for those
that had LD$ 70,001-200,000 (US$ 560-1,600) was 25%. Most of the entities, i.e. 62%- listed in
the NEC, had less than or equal to LD $70,000 (US$ 560).
12 Liberian dollars within this report are based on the exchange rate from December 2017 when the NEC data was
analyzed, when 1 USD was approximately equal to 125 LD.
6
10719
4222
1471
689
0
2000
4000
6000
8000
10000
12000
less than or equal to LD$70,000
LD$ 70,001 - 200,000 LD$ 200,001 - 800,000 LD$ 800,001 and above
9%25%
4%
63%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
ld$200,001 - 800,000 ld$70,001 - 200,000 ld$800,001 and above less than or equal told$70,000
Figure 4: Liberian Private Sector Annual Turnover Source: 2017 NEC
7
While there is no feasible increase for large businesses, and there is a decrease in medium
businesses, the number of small and micro enterprises drops dramatically and has a negative
correlation with the annual turnover. Hence, the Liberian economy needs to enhance an
economic structure in which the medium and large private sector has enough financial
opportunities/resources to grow. (see Figure 2)
Ownership Type According to the 2017 NEC, the Liberian private and non-governmental sectors are categorized
as follows; Limited Liability companies, Non-Government Organizations/Non-Profit
Institutions/Associations, Partnerships, and Sole Proprietorship. Figure 5 provides the meaning
of each business type based on the definition of it given by the government of the Republic of
Liberia13.
13 The Liberian Corporate Registry, Available here: https://liberiancorporations.com/
0
1000
2000
3000
4000
5000
6000
7000
8000
less than or equal told$70,000
ld$70,001 - 200,000 ld$200,001 - 800,000 ld$800,001 and above
large medium micro small
Figure 5: Size of the Business and Annual Turnover Source: 2017 NEC
8
Business Type Definition
Limited Liability Companies The Liberian Limited Liability Company (LLC)
is an entity designed to provide the limited
liability features of a corporation with the
operational flexibility of a partnership. The
LLC is a preferred form of entity for holding real estate and other forms of asset
investment. The LLC is not a tax paying entity
and any profits or losses are reported on the
individual member’s tax return.
Non-Government Organizations/Non-Profit Institutions/Associations
A Non-Governmental Organization (NGO) functioning within the territory of Liberia shall
mean an independent, nonprofit making, non-
partisan and charitable organization,
established in accordance with the
Associations Law of Liberia, having the
primary goal of enhancing the social,
educational, professional, scientific, athletic,
cultural and economic well-being of
communities; and it may operate nationally or
locally on a nondiscriminatory basis.
Partnerships Liberian Limited and General Partnerships are
an attractive form of entity for investors who
do not want to be involved in the daily
operations of the business but seek limited
liability and the benefits from profits
generated by the entity. Limited Partnerships
are often formed by business owners involved
in real estate, manufacturing, and other
business ventures.
Sole Proprietorship Sole Proprietorship is a form of enterprise
that involves only one person as the
beneficiary.
Table 1: Business Types and Definitions Source: Government of the Republic of Liberia
9
One reason for the low level of annual turnover
for the Liberian private sector is the ownership
structure of the businesses.
As Figure 6 indicates, in 2017, most of the business’
ownership structure consisted of the sole
proprietorship structure of ownership. Accordingly,
due to the dominant structure of ownership, i.e. sole
proprietorship, in the Liberian private and non-
governmental sectors, these sectors wouldn’t
deliver a compelling level of stability and profit-
making to the Liberian economy.
According to Figure 6, 92% if Liberian private and
the non-governmental sector has sole
proprietorship structure, 4% partnership,
approximately 2% private limited liability companies,
and the rest 2% consist of Non-Profit organizations,
public limited liability companies, and other
unknown structures.
In terms of the size of these enterprises in Liberia,
approximately 97% of the sole proprietorship is the
small or medium business. Often sole
proprietorship business ownership structure hinders
the capacity of raising capital for the business, and it
also has a limited life cycle.
Exploring the relationship between the structure of
ownership and the annual turnover of the companies
will provide critical input to the correlation between
ownership type and the amount of capital. The
Liberian private sector is not an exception in terms
of the correlation between
the ownership type and financial prosperity of the
businesses. Figures 7 and 8 indicate that increasing
the annual turnover has a positive correlation with
the numbers of Private Limited Liability Companies.
At the same time, an increase in the annual turnover
has a negative correlation with the number of sole
proprietorship business entities. Figure 9 provides
detailed numbers of enterprises based on their
ownership and their annual turnover.
15844
743322 128 48 16
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
Figure 6: Business Types Source: 2017 NEC
92.6%
4.4% 1.9% 0.8% 0.2% 0.1%0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
100.0%
10
0
2000
4000
6000
8000
10000
12000
less
th
an o
r eq
ual
to
ld$
70
,00
0
ld$
70
,00
1 -
20
0,0
00
ld$
20
0,0
01
- 8
00
,00
0
ld$
80
0,0
01
an
d a
bo
ve
Figure 7:Number of Sole proprietorship companies based on Annual turnover Source: 2017 NEC
0
20
40
60
80
100
120
140
160
less th
an o
r equ
al to ld
$7
0,0
00
ld$
70
,00
1 - 2
00
,00
0
ld$
20
0,0
01
- 80
0,0
00
ld$
80
0,0
01
and
abo
ve
Figure 8: Number of Private Limited Companies based on their Annual Turnover Source: 2017 NEC
11
139
4
38
8
98
402
72
1
25
11
104
1258
59
2
28
14
202
3917
52
9
37
15
339
10267
0 2000 4000 6000 8000 10000 12000
limited liability companies-private
limited liability companies-public
non-government organizations/non-profit…
others
partnerships
sole proprietorship
limited liability companies-private
limited liability companies-public
non-government organizations/non-profit…
others
partnerships
sole proprietorship
limited liability companies-private
limited liability companies-public
non-government organizations/non-profit…
others
partnerships
sole proprietorship
limited liability companies-private
limited liability companies-public
non-government organizations/non-profit…
others
partnerships
sole proprietorship
LD$
80
0,0
01
an
d a
bo
veLD
$ 2
00
,00
1 -
80
0,0
00
LD$
70
,00
1 -
20
0,0
00
less
th
an o
r eq
ual
to
LD
$ 7
0,0
00
Figure 9: Annual Turnover by the structure of ownership
Source: 2017 NEC
12
Gender The overall female unemployment rate for the year 2018 was
2.045% of the total labor force. The overall male
unemployment rate for the same year was 2.012%. The
similarity of the overall unemployment rates for each gender
does not necessarily reflect the lack of gender imbalance in the
job market, in particular for the Liberian private sector. Based
on the data from the 2017 NEC, the Liberian private sector is
a male-dominated sector where 67% of the enterprises have
male ownership, 30% female ownerships, and 3% with both
male and female ownership. (See Figure 10)
The data indicates the same pattern when it comes to the
gender of ownership in terms of the annual turnover.
Approximately 87% of the Liberian private sector consists of
small or micro-enterprises where approximately, 60% of the
enterprises are micro, 27% are small, 8% are medium, and 5%
are large. Women own approximately 30% of the private
sector entities in Liberia. This indicates the high imbalance
between the genders. (See Figure 11)
Gender inequality contributes to low economic security for
women in the economy. It has a reciprocal impact on lifetime
poverty and instantly reduces the economic performance of a
country. Even though the overall Liberian unemployment rate
is pretty much similar for males and females, the private sector
reveals a different picture.
459
5128
11509
0
2000
4000
6000
8000
10000
12000
14000
bothmale and
female
female male
67%
30%
3%0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
male female both male and
female
Figure 10: Business by Gender of the Owner
Source: 2017 NEC
13
7167
2868
1005
469
3254
1249
426199294 104 40 21
0
1000
2000
3000
4000
5000
6000
7000
8000
less than or equal to ld$70,000
ld$70,001 - 200,000 ld$200,001 - 800,000 ld$800,001 and above
Male Female Male and Female
67% 68% 68% 68%
30% 30% 29% 29%
3% 2% 3% 3%0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
less than or equal told$70,000
ld$70,001 - 200,000 ld$200,001 - 800,000 ld$800,001 and above
Male Female Male and Female
Figure 11: Annual Turnover by Gender of the Owner Source: 2017 NEC
14
Figure 12 shows ownership by gender and nationality.
According to Figure 12, 62% of the Liberian owners
are male, 35% are female, and 3% are both male and
female.
The level of the gender imbalance is higher in non-
Liberian enterprises where among ECOWAS 14nationals, 90% are male, 9% are female, and 1% are
owned by both male and female owners. For the
other foreign nationals, 88% are male, 5% are female,
and 7% are both male and female.
The same gender imbalance exists when it comes to
the structure of ownership. Based on Figure 13, in
Sole Proprietorship enterprises, 67% of owners are
male, 31% are female, and both male and female own
the rest. For enterprises with partnership ownership
structures, 65% of owners are male, 13% are female,
and both male and female owners own 22% of the
enterprises. In private limited liability companies, 80%
of the owners are male, 6% are female, and 14% are
both male and female. From the total number of 128
non-government organizations/non-profit
institutions/associations in the NEC, 49% are
owned/controlled by male owners, 24% are owned
by female, and 27% of the enterprises have both male
and female owners. For Public Limited Liability
Companies, 63% of the owners are male, 6% are
female, and 31% are both male and female owners.
14 The Economic Community of West African States Member states Benin, Burkina Faso, Cabo Verde, Côte
d'Ivoire, The Gambia, Ghana, Guinea, Guinea Bissau, Liberia, Mali, Niger, Nigeria, Senegal, Sierra Leone, and Togo.
37324 62
4871
217 40
8523
2251
735
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
Liberian EcowasNational
Other ForeignNationals
both male and female female male
3% 1% 7%
35%
9% 5%
62%
90%88%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Liberian EcowasNational
Other ForeignNationals
both male and female female male
Figure 12: Ownership by Nationality and Gender of the Owner
15
10
35
63
256
484
10,661
1
3
31
21
99
4973
5
10
34
44
160
206
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
limited liability companies-public
others
non-government organizations/non-profit…
limited liability companies- private
partnerships
sole proprietorship
Male Female both male and female
Figure 13: Structure of Ownership and Gender of the Owner Source: 2017 NEC
533
13
91
21
108
36
852
41
204
165
245
820
11
300
121
1
4
39
5
7899
582
6
13
1
48
2
324
5
12
83
30
182
1
205
10
0
0
11
1
3612
28
5
3
4
1
161
2
4
18
19
10
2
8
4
0
0
0
0
190
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Accommodation and food service activities
Activities of extraterritorial organizations and bodies
Administrative and support service activities
Agriculture, forestry and fishing
Arts, entertainment and recreation
Construction
Education
Electricity, gas, steam and air conditioning supply
Financial and insurance activities
Human health and social work activities
Information and communication
Manufacturing
Mining and quarrying
Other service activities
Professional, scientific and technical activities
Public administration and defence; compulsory social security
Real estate activities
Transportation and storage
Water supply; sewerage, waste management and…
Wholesale and retail trade; repair of motor vehicles and motorcycles
M F M&F
Figure 14: Economic Sector by Gender of Owner Source: 2017 NEC
16
Based on Figure 14, the only
business sector that has gender
balance, in terms of the ownership
of the enterprise, is the
Accommodation and Food
Services Activities sector. In this
sector, 51% of the enterprises are
owned by female owner, male
owners own 47%, and both male
and female owners own the rest
2% of enterprises.
In the Liberian private and non-
governmental sector, 70% of the
total employees recorded on the
2017 NEC, are male and 30% of
the employees are female. Figure
15 indicates the number of female
and male employees in each
economic sector. According to the
data, there are two sectors in
which the number of female
employees is exceeding the
number of male employees
including; Accommodation and
food service activities and Human
health and social work activities.
Additionally, some sectors are
more male-dominated sectors
than the others in terms of the
gender of employees-e.g.
Construction, Real estate
Activities, and Electricity, gas,
steam, and air conditioning supply.
30802
78
380
79
11
688
1594
218
6441
1846
2147
748
178
17762
343
577
13609
5851
145
3486
13556
26
72
7
4
153
1140
63
1614
495
2434
160
27
8076
55
247
2767
2695
103
3631
0% 20% 40% 60% 80% 100%
Wholesale and retail trade; repair ofmotor vehicles and motorcycles
Water supply; sewerage, wastemanagement and remediationactivities
Transportation and storage
Real estate activities
Public administration and defence;compulsory social security
Professional, scientific and technicalactivities
Other service activities
Mining and quarrying
Manufacturing
Information and communication
Human health and social work activities
Financial and insurance activities
Electricity, gas, steam and air conditioningsupply
Education
Construction
Arts, entertainment and recreation
Agriculture, forestry and fishing
Administrative and support serviceactivities
Activities of extraterritorial organizationsand bodies
Accommodation and food serviceactivities
Male Female
Figure 15: Number of Employees in each Economic Sector by Gender Source: 2017 NEC
17
Geolocation Nationality Liberian private sector is concentrated in Montserrado country where the capital is located. In
turn, around one-third of the Liberian population lives in and around the capital. Such
concentrated urbanization is one of the most crucial aspects of the Liberian economy in general
and the Liberian private sector in particular. Based on Figure 16, Liberia has a geo-centralized
private sector. One tentative observation is that the private sector depends upon its distance to
the central government.
According to Figure 16, approximately 70% of these enterprises are located in Montserrado
county, 5% in Nimba (the largest Liberian county), 4% in Margibi, 3% in Lofa, 3% in Sinoe, 3% in
Grand Gedeh, 2% in Grand Bassa and the rest of the 10% are in Bong, Maryland, Bomi, Grand
Cape Mount, River Gee, Gbarpolu, Grand Kru, and Rivercess. 15
For the public administration and defense and compulsory social security private companies
business sectors, only one private company exists, which is located in Montserrado. The same
can be observed for the supply, sewerage, waste management, and remediation activities sectors
in that only one private company stand on the list and which is also located in Montserrado. As
for real estate activities, only 4 companies are listed in the 2017 NEC with three of them located
in Montserrado and one located in Margibi. Capturing only four real estate-related establishments
may also indicate that there may be issues of underreporting within census data.
15 For more details please see Annex 1.
79 113 121 196 198 203 378 467 478 498 522 597 660 816
11775
0
2000
4000
6000
8000
10000
12000
14000
Figure 16: Geolocation of Enterprises
Source: 2017 NEC
18
According to Figure 17, only in Agriculture, Forestry, and Fishing sector, the number of business
entities in rural areas is higher than in urban areas where 14 entities are in the rural areas, and
11 entities are in the urban areas. Mining and quarrying have an equal number for each urban and
rural areas (7 enterprises in urban areas and 7 in rural areas). Furthermore, some of the sectors
only exist in urban areas, including transportation and storage, water supply; sewerage, waste
management, and remediation activities, and public administration and defense; compulsory social
security.
206
27
90
22
953
0
137
71
45
115
161
105
73
179
76
316
52
106
794
10822
378
523
526
68
383
48
373
37
288
127
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Sinoe
Rivercess
River Gee
Nimba
Montserrado
Maryland
Margibi
Lofa
Grand Kru
Grand Gedeh
Grand Cape Mount
Grand Bassa
Gbarpolu
Bong
Bomi
Rural Urban
Figure 17: Geolocation of the Enterprises by Rural/Urban Source: 2017 NEC
19
Conclusion The NEC dataset captures a total of 17,101 establishments. The dataset indicates that Liberia has
a highly geo-centralized and urban-oriented business community. Additionally, and based on the
NEC, the Liberian business community has a notable level of gender imbalance. The data confirms
that gender inequality is an obstacle to social, political, and economic development.
Since the report will be used to inform KIIs and FGDs with the business community in rural
Liberia, culminating in a Private Sector Forum in Gbarnga, it is important to note that the Bong
province reflects relatively the same elements of the Liberian business community on the national
level. There were a total of 467 businesses in Bong county; the majority of these establishments
are in Bong’s capital, Gbarnga (365 enterprises). From the 467 establishments, 459 establishments
have sole proprietorship business types. Similar to the national level trend, 1041 or 70% of
employees are male, and 455 or 30% of employees are female. Sixty-one percent of these
enterprises had an annual turnover of less than or equal to LD $70,000, 32% had an annual
turnover of LD$ 70,001-200,00, and the remaining 6% had an annual turnover of LD $ 200,001-
800,000. In the city of Gbarnga, there is no establishment that has an annual turnover that exceeds
LD$ 800,001. In the other two counties in USAID’s zone of influence, namely Lofa and Nimba,
there are establishments that their annual turnover exceeds LD$ 800,001. In Lofa county, there
are 6 establishments, and in Nimba county, there are 10 establishments that their annual turnover
are exceeding LD$ 800,001.
Unlike the Bong county, the establishments in Nimba and Lofa counties are not centralized in
their capitals. There were a total of 816 enterprises in Nimba county. Approximately, 50% of the
establishments were in Garr Bain (409 enterprises) and approximately 18% were in its capital
Sanniqquellie Mahn (151 enterprises), 10% were in Wee-Gbehy-Mahn (80 enterprises), 6% were
in Yarmein (55 enterprises), 5% were in Zoe-Gbao (41 enterprises), 5% were in Doe (40
enterprises), and the rest %6 of the enterprises were in the other districts. In Lofa, there were a
total of 596 establishments. 48% of these establishments were in Voinjama (288 enterprises), 19%
of them were in its capital Zorzor (110 enterprises), 17% were in Foya (98 enterprises), 9% were
in Kolahun (54 enterprises), and the rest 7% were in the other districts.
In terms of the pattern of specializations, in Bong county, %84 of the business were working in
wholesale and retail trade; repair of motor vehicles and motorcycles (390 enterprises), %4 in
accommodation and food service activities (20 enterprises), %3 in manufacturing (14 enterprises),
and the rest 9% were working in; administrative and support service activities, arts entertainment
and recreation, construction, education, human health and social work activities, information and
communication, other service activities, and professional scientific and technical activities.
In Nimba county, 77% of the establishments in Nimba (626 enterprises) were working in
wholesale and retail trade; repair of motor vehicles and motorcycles, 6% in manufacturing (45
enterprises), %4 in other service activities (32 enterprises), %4 in education (29 enterprises), and
the rest of the %9 business were working in; accommodation and food service activities,
administrative and support service activities, arts entertainment and recreation, electricity, gas,
20
steam and air conditioning supply, financial and insurance activities, human health and social work
activities, and information and communication.
In Lofa, %63 of the establishments were working in wholesale and retail trade; repair of motor
vehicles and motorcycles (376 enterprises), %13 in Accommodation and food service activities
(76 enterprises), %7 in education (45 enterprises), 5% in Manufacturing (32 enterprises), 3% in
information and commuinication (20 enterprises), and the rest %9 were working in; activities of
extraterritorial organizations and bodies, administrative and support service activities, agriculture
forestry and fishing, arts entertainment and recreation, financial and insurance activities, human
health and social work activities, other service activities, and professional scientific and technical
activities.
Given these considerations, the following recommendations can be made in order to empower
the Liberian private sector:
• Conduct additional research and needs assessments with the private sector to identify
opportunities, risks, and capacities at the local level;
• Strengthen and empower women in the economy through gender inclusion policies and
programs;
• Generate strong linkages between the existing economic sectors in rural areas to other
economic sectors;
• Increase local unions and associations that share information and best practices among
enterprises.
• Support training and educational programs for information sharing on best practices
between enterprises; for example, understanding the differences between sole
proprietorship and other business types.
• Improve the local administrative capacities to form strong and efficient linkages between
national policies (e.g., PAPD programs) to local needs and opportunities.
• Provide resources for large establishments that have a greater impact on the Liberian
GDP, employment, and sustainable economic growth opportunties.
21
Annex 1: Summarized NEC Data Activities and Locations Count of fid
Accommodation and food service activities 1143
Bomi 19
Bong 20
Gbarpolu 9
Grand Bassa 39
Grand Cape Mount 6
Grand Gedeh 38
Grand Kru 7
Lofa 76
Margibi 46
Maryland 35
Montserrado 773
Nimba 26
River Gee 16
Rivercess 7
Sinoe 26
Activities of extraterritorial organizations and bodies 19
Lofa 7
Maryland 1
Montserrado 11
Administrative and support service activities 109
Bomi 1
Bong 1
Grand Bassa 6
Grand Gedeh 2
Lofa 3
Margibi 6
Montserrado 78
Nimba 12
Agriculture, forestry and fishing 25
Bomi 2
Grand Bassa 3
Grand Cape Mount 1
Lofa 2
Margibi 5
Montserrado 9
Rivercess 1
Sinoe 2
Arts, entertainment and recreation 160
Bong 5
22
Activities and Locations Count of fid
Grand Bassa 4
Grand Gedeh 3
Grand Kru 1
Lofa 5
Margibi 17
Montserrado 121
Nimba 2
Rivercess 2
Construction 39
Bong 1
Grand Bassa 2
Margibi 1
Montserrado 34
Sinoe 1
Education 1337
Bomi 11
Bong 13
Gbarpolu 10
Grand Bassa 35
Grand Cape Mount 8
Grand Gedeh 18
Grand Kru 7
Lofa 45
Margibi 68
Maryland 37
Montserrado 1021
Nimba 29
River Gee 14
Rivercess 6
Sinoe 15
Electricity, gas, steam and air conditioning supply 48
Gbarpolu 1
Grand Gedeh 1
Montserrado 45
Nimba 1
Financial and insurance activities 220
Bomi 1
Grand Bassa 3
Grand Gedeh 3
Lofa 3
Margibi 3
Montserrado 200
Nimba 5
23
Activities and Locations Count of fid
Rivercess 1
Sinoe 1
Human health and social work activities 267
Bomi 1
Bong 4
Grand Bassa 4
Grand Cape Mount 1
Grand Gedeh 2
Lofa 7
Margibi 20
Maryland 2
Montserrado 209
Nimba 12
River Gee 3
Rivercess 1
Sinoe 1
Information and communication 294
Bomi 5
Bong 3
Grand Bassa 15
Grand Cape Mount 1
Grand Gedeh 13
Grand Kru 2
Lofa 20
Margibi 9
Maryland 8
Montserrado 185
Nimba 11
River Gee 8
Rivercess 2
Sinoe 12
Manufacturing 1012
Bomi 5
Bong 14
Gbarpolu 4
Grand Bassa 37
Grand Cape Mount 2
Grand Gedeh 21
Lofa 32
Margibi 51
Maryland 7
Montserrado 767
Nimba 45
24
Activities and Locations Count of fid
River Gee 6
Rivercess 3
Sinoe 18
Mining and quarrying 14
Gbarpolu 1
Grand Bassa 1
Grand Cape Mount 1
Grand Gedeh 1
Margibi 1
Montserrado 9
Other service activities 513
Bomi 2
Bong 10
Gbarpolu 1
Grand Bassa 11
Grand Cape Mount 1
Grand Gedeh 12
Grand Kru 1
Lofa 17
Margibi 15
Maryland 6
Montserrado 393
Nimba 32
River Gee 4
Rivercess 2
Sinoe 6
Professional, scientific and technical activities 135
Bomi 2
Bong 6
Grand Bassa 2
Grand Gedeh 3
Grand Kru 1
Lofa 3
Margibi 7
Maryland 6
Montserrado 87
Nimba 13
River Gee 2
Sinoe 3
Public administration and defence; compulsory social security 1
Montserrado 1
Real estate activities 4
Margibi 1
25
Activities and Locations Count of fid
Montserrado 3
Transportation and storage 50
Grand Bassa 3
Grand Gedeh 1
Margibi 2
Montserrado 43
Nimba 1
Water supply; sewerage, waste management and
remediationactivities 6
Montserrado 6
Wholesale and retail trade; repair of motor vehicles and
motorcycles 11705
Bomi 154
Bong 390
Gbarpolu 95
Grand Bassa 313
Grand Cape Mount 177
Grand Gedeh 380
Grand Kru 94
Lofa 377
Margibi 408
Maryland 276
Montserrado 7780
Nimba 627
River Gee 143
Rivercess 54
Sinoe 437
(blank) (blank)
Grand Total 17101