Liberia Analytics
LANGUAGES
- Official Language:
- 1. Xhosa
: 600,000
- 2. Maninka
: 276,000
Mother Tongue : Xhosa
Literacy Rate (%) : 48
Country Capital | : | Monrovia |
---|---|---|
GDP Per capita | : | 2,003 |
GDP Per Capita Rank | : | 178th/195 |
Life Expectancy | : | 62 |
Unemployment Rate | : | 0 |
Number of Internet Users | : | 1,673,237 |
Internet Users Rank | : | 138th/195 |
Area | : | 96,321 |
Area Rank | : | 106th/195 |
Total Population | : | 5,731 |
Total Population Rank | : | 115th/195 |
Liberia Highlights
Liberia is the 115th ranked country in population and 106th ranked in area out of 195 countries in the world.Please keep the country rank in perspective, for the highlights below.
Worse than World Average-
- 1. Liberia is the 12th worst ranked in Literacy Rate (%) out of 195 countries in the world. This indicates that the educational infrastructure in this country is worse than it is in other countries.
- 2. The average GDP Per Capita (USD) of the countries in the world is 30,070. Liberia is the 18th worst-ranked country out of 195 countries. This implies that this country is a developing country.
- 3. Out of the 195 countries in the world, Liberia is the 33rd worst ranked in Doctors (Per 10,000) . This may indicate worse healthcare infrastructure investment by the country or may indicate lower population.
Liberia Metrics
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 1 | 1126 | |||
2 | 1M+ Cities per 100000 ( 1M+ Cities/ Tot Pop.)* 100000 | 0 | 7 | 1126 | |||
3 | Rural Pop. /Total Pop. % | % People | 40 | 71 | 1130 | ||
4 | Pop. without Electricity Access / Total Pop.% | % People | 14 | 13 | 1127 | ||
5 | Pop. without Electricity access | # People | 3,455,508 | 42 | 1129 | ||
Below than World Average- |
|||||||
1 | Pop. with access to Electricity (%) | % People | 86 | 183 | 1235 | ||
2 | # Cities>100000 | # Cities | 23 | 141 | 1230 | ||
3 | # Cities>100000 | # Cities | 21 | 132 | 1234 | ||
4 | # Cities>300000 | # Cities | 8 | 94 | 1231 | ||
5 | # Cities>300000 | # Cities | 7 | 86 | 1231 | ||
6 | # Cities>500000 | # Cities | 5 | 73 | 1230 | ||
7 | # Cities>500000 | # Cities | 4 | 65 | 1232 | ||
8 | Urban Population / Total Population % . | % People | 60 | 125 | 1235 | ||
9 | Urban Population | # People | 23,726,053 | 117 | 1233 | ||
10 | # Cities>1M | # Cities | 2 | 46 | 1232 | ||
11 | Rural Pop. | # People | 18,013,759 | 100 | 1232 |
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Xhosa | # People | 12,820 | 3 | 1126 | ||
2 | Maninka | # People | 43,974 | 6 | 1127 | ||
3 | Maninka as a % of total Maninka speakers | % People | 0 | 6 | 1127 | ||
4 | Bambara as a % of total Bambara speakers | % People | 0 | 8 | 1128 | ||
5 | Bambara | # People | 55,343 | 9 | 1127 | ||
Below than World Average- |
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1 | English as a % of total English speakers | % People | 0 | 34 | 1234 | ||
2 | English | # People | 3,175,743 | 29 | 1232 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Employment in Agriculture /Total Pop. %. | % People | 9 | 33 | 1126 | ||
2 | Employment in Agri. / Total Labour Force % . | % People | 23 | 39 | 1127 | ||
3 | Employment in Agriculture/Total Labour force %. | % People | 23 | 39 | 1130 | ||
4 | Total Labour Force/Total Pop. | % People | 43 | 81 | 1125 | ||
Below than World Average- |
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1 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 156 | 1231 | ||
2 | Formal Jobs | # People | 10,605,934 | 141 | 1230 | ||
3 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 138 | 1233 | ||
4 | Non-Agricultural Labour Force | # People | 15,067,127 | 122 | 1233 | ||
5 | Total Labour Force (2023) | # People | 20,409,734 | 117 | 1232 | ||
6 | Employment in Services | # People | 10,251,634 | 115 | 1235 | ||
7 | Employment in services/Total Labour force %. | % People | 56 | 103 | 1235 | ||
8 | Employment in Services / Total Labour Force %. | % People | 56 | 104 | 1233 | ||
9 | Employment in Services /Total pop.%. | % People | 25 | 90 | 1235 | ||
10 | Teachers in primary edu. | # People | 357,113 | 83 | 1230 | ||
11 | Employment in Agriculture | # People | 5,314,003 | 72 | 1235 |
--- Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Christian Pop./Total Pop.% | % People | 42 | 41 | 1125 | ||
Below than World Average- |
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1 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 76 | 1230 | ||
2 | Christian Pop./Total Christian Pop.% | % People | 0 | 74 | 1231 | ||
3 | Islamic Pop./Total Pop.% | % People | 22 | 62 | 1232 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Population Growth Rate (%) | % People | 0 | 42 | 1128 | ||
Below than World Average- |
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1 | Density ( Pop/Land Area Ratio) | Density | 312 | 134 | 1234 | ||
2 | Female % of Total Pop. | % People | 50 | 123 | 1231 | ||
3 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 1 | 123 | 1232 | ||
4 | Male Population (2025) | # People (In Thousands) | 21,226 | 116 | 1233 | ||
5 | Total Population (2025) | # People (In Thousands) | 42,003 | 115 | 1230 | ||
6 | Female Population (2025) | # People (In Thousands) | 20,993 | 114 | 1234 | ||
7 | Births | # People (In Thousands) | 681 | 89 | 1232 | ||
8 | Male % of Total Pop. | % People | 50 | 73 | 1230 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Tree density. | Density | 22,685 | 59 | 1126 | ||
Below than World Average- |
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1 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 69 | 1234 | ||
2 | Soyabean prod. | Tons | 3,684,006 | 74 | 1230 | ||
3 | Sugarcane prod. | Tons | 52,039,862 | 69 | 1230 | ||
4 | Number of Trees | Count | 15,642,617,148 | 69 | 1233 | ||
5 | Sweet Potatoes prod. | Tons | 895,180 | 61 | 1232 | ||
6 | Forest Area. | Area | 21,142,892 | 61 | 1233 | ||
7 | Country forest area / Global Forest area % | 0 | 61 | 1231 | |||
8 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 58 | 1232 | ||
9 | Rice prod. | Tons | 6,981,685 | 58 | 1232 | ||
10 | Rice Produced/Total Rice Produced.% | Weight | 0 | 55 | 1232 | ||
11 | Tree density . | Density | 828 | 42 | 1235 |
Wealth Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Corporate Tax Rates in % | Rate | 23 | 74 | 1126 | ||
Below than World Average- |
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1 | GDP Per Capita (USD) | $ | 30,070 | 178 | 1231 | ||
2 | GDP (Billions USD) | $ Billions | 613 | 153 | 1235 | ||
3 | Import Ban(Number of products) | Count | 12 | 134 | 1233 | ||
4 | FDI (millions USD) | Amount | 3,115 | 97 | 1233 | ||
5 | FDI / Total FDI of the World %. | 0 | 94 | 1234 |
Education Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
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1 | Literacy Rate (%) | % People | 86 | 184 | 1231 | ||
2 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 163 | 1233 | ||
3 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 139 | 1231 | ||
4 | Total Literate Pop. | # People | 34,678,001 | 136 | 1233 | ||
5 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 128 | 1233 | ||
6 | Teachers in secondary edu. | # People | 659,923 | 125 | 1231 | ||
7 | Enrolment in secondary edu. | # People | 9,727,510 | 124 | 1232 | ||
8 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 122 | 1235 | ||
9 | Teachers in tertiary edu. | # People | 297,976 | 118 | 1232 | ||
10 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 109 | 1234 | ||
11 | # Students per teacher in Primary edu. | Ratio | 260 | 104 | 1234 | ||
12 | Enrolment in primary edu. | # People | 9,629,078 | 103 | 1234 | ||
13 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 93 | 1232 | ||
14 | # Students per teacher in secondary edu. | Ratio | 57 | 80 | 1230 | ||
15 | Teachers as a % of Enrolment | % People | 41 | 73 | 1235 | ||
16 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 60 | 1231 | ||
17 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 36 | 1233 | ||
18 | # Students per teacher in tertiary edu. | Ratio | 58 | 26 | 1230 | ||
19 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 24 | 1230 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
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1 | Life Expectancy at Birth, both sexes | Age | 73 | 180 | 1230 | ||
2 | Doctors (Per 10,000) | People Per 10,000 | 20 | 163 | 1232 | ||
3 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 152 | 1235 | ||
4 | Nurses to doctor ratio | Ratio | 46 | 151 | 1234 | ||
5 | Total No. of Doctors | # People | 78,648 | 148 | 1233 | ||
6 | Total No. of Pharmacists | # People | 19,528 | 141 | 1234 | ||
7 | Total Nursing | # People | 163,061 | 140 | 1233 | ||
8 | Nurses(per 10000) | People per 10000 | 164,032 | 140 | 1232 | ||
9 | Dentist (per 10,000) | People per 10000 | 31 | 100 | 1232 | ||
10 | #Dentists | # People | 13,328 | 98 | 1232 | ||
11 | Dentist to doctor ratio | Ratio | 3 | 51 | 1235 | ||
12 | HIV Infections (Per 1000) | People Per 1,000 | 0 | 41 | 1235 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
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1 | Int. Users / Total Pop.% | % People | 70 | 174 | 1235 | ||
2 | Twitter Users as a % of Total Population | % People | 14 | 164 | 1235 | ||
3 | Facebook CPC in Rs. | Absolute | 5 | 160 | 1230 | ||
4 | Twitter Users as a % of Total Internet Users | % People | 15 | 161 | 1231 | ||
5 | LinkedIn Users as a % of Total Population | % People | 30 | 155 | 1233 | ||
6 | Twitter users | # People | 3,179,254 | 154 | 1233 | ||
7 | FB Users / Total Pop. %. | % People | 26 | 147 | 1233 | ||
8 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 135 | 1234 | ||
9 | LinkedIn users | # People | 6,064,509 | 139 | 1235 | ||
10 | Facebook Users as a % of Total facebook Users | % People | 0 | 122 | 1234 | ||
11 | LinkedIn Users as a % of Total Internet Users | % People | 33 | 139 | 1234 | ||
12 | Internet Users | # People | 28,408,774 | 138 | 1232 | ||
13 | Facebook users | # People | 7,174,483 | 135 | 1231 | ||
14 | FB Users / Total Int. Users %. | % People | 33 | 134 | 1232 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
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1 | Military Force/Total Pop. % | % People | 1 | 164 | 1230 | ||
2 | Total Military Force | # People | 358,465 | 158 | 1234 | ||
3 | Military Budget (in Billion $) | $ Billion | 15 | 147 | 1231 | ||
4 | Police Officers | # People | 138,224 | 94 | 1235 |
Media Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
|||||||
1 | # Phone Numbers /Total Pop. % | Percent | 101 | 163 | 1233 | ||
2 | # Mobile phone numbers | Count | 40,393,496 | 134 | 1234 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
|||||||
1 | Islamic Population | # People | 9,936,734 | 78 | 1230 | ||
2 | Christian Population | # People | 11,885,917 | 74 | 1234 |
Liberia Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Xhosa | 10.47 % |
2 | Maninka | 4.82 % |
3 | English | 2.36 % |
4 | Bambara | 1.88 % |
List of cities having more than 100K population in Liberia
Sr. | City | Total City Population (2023) |
---|---|---|
1 | Monrovia | 1,376,810 |
Frequently Asked Questions :
Q - Does Prarang do surveys to collect data? How does Prarang have such granular Country-level details which no private or public data source offers?
A - Prarang does not conduct surveys to gather data; instead, we rely on publicly available sources such as UN Population data, the CIA World Factbook, and private surveys whose results are accessible through news media and public websites. Our data classification follows a three-fold method rooted in Indian logic (Tarkashastra): Pramana (evidence-based data collection) involves gathering data from credible sources; Anumana (estimation and inference) uses modeling to draw inferences from the collected data; and Upamana (comparison) ranks countries through relative comparison, calculating the Samana (country average) to determine whether each country ranks above or below this benchmark. All data sources and estimation modeling methods are transparently detailed and accessible, with information available for each data field by clicking the "i" icon.
Q - Does Prarang take responsibility for the absolute data fields that someone buys from it, along with the calculation of the associated ranks?
A - Prarang does not do any surveys. It does data modeling & estimations based on third-party census & surveys, already in the public domain. It also shares the source of the data it uses. Users need to make their own judgment of how and for what purpose and when they use the data that they download from this Prarang website.
Q - What is the frequency of data updates on various data fields of Prarang analytics?
A - We are continuously on the lookout for market announcements of new surveys & new data. You can expect important World survey results to be live on our website, within 30 to 45 days after appearing in press/media. We model on spreadsheets & update our SQL databases, after data validation.