Date: February 17, 2026
Liberia is a mid-size country with 0.1% of the world's population. Liberia is a republic country.
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.
Literacy Rate (%)
GDP Per Capita (USD)
Doctors (Per 10,000)
Total Military Force
Out of 195 countries in the world, Liberia is the 12th worst ranked in Literacy Rate (%) . This indicates that the educational infrastructure in this country is worse than it is in other countries.
Out of 195 countries in the world, Liberia is the 22nd worst ranked in GDP Per Capita (USD) . This implies that this country is a developing country.
The Average Doctors (Per 10,000) of 195 countries in the world is 20. Liberia is the 33rd worst ranked country out of 195 countries. This may indicate worse healthcare infrastructure investment by the country or may indicate lower population.
The Average Total Military Force of 195 countries in the world is 358,465. Liberia is the 38th worst ranked country out of 195 countries. This may indicate that the country is facing lesser threats compared to other countries.
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Number of Trees | Count | 1,242,331,089 | 1 | 1129 | ||
| 2 | Tree density. | Density | 22,685 | 59 | 1130 | ||
|
Below World Average |
|||||||
| 1 | Cow Beef Production (in tonnes) | Weight | 320,761 | 157 | 1234 | ||
| 2 | Number of Cows | Count | 8,697,624 | 155 | 1234 | ||
| 3 | Cow Milk Production (in tonnes) | Weight | 3,855,383 | 153 | 1235 | ||
| 4 | Chicken Meat Production (% of Total Chicken Meat Production) | Percent | 0 | 129 | 1234 | ||
| 5 | Chicken Meat Production (in tonnes) | Weight | 588,164 | 131 | 1231 | ||
| 6 | Goat Meat Production (% of Total Goat Meat Production) | Percent | 0 | 95 | 1231 | ||
| 7 | Goat Meat Production (in tonnes) | Weight | 46,111 | 99 | 1230 | ||
| 8 | Orange Production (% of Total Orange Production) | Percent | 0 | 76 | 1235 | ||
| 9 | Orange Production (in tonnes) | Weight | 618,959 | 82 | 1232 | ||
| 10 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 69 | 1234 | ||
| 11 | Soyabean prod. | Tons | 3,684,006 | 74 | 1232 | ||
| 12 | Sugarcane prod. | Tons | 52,039,862 | 69 | 1233 | ||
| 13 | Sweet Potatoes prod. | Tons | 895,180 | 61 | 1235 | ||
| 14 | Forest Area. | Area | 21,142,892 | 61 | 1233 | ||
| 15 | Country forest area / Global Forest area % | 0 | 61 | 1235 | |||
| 16 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 58 | 1230 | ||
| 17 | Rice prod. | Tons | 6,981,685 | 58 | 1232 | ||
| 18 | Rice Produced/Total Rice Produced.% | Weight | 0 | 55 | 1234 | ||
| 19 | Tree density . | Density | 828 | 42 | 1232 | ||
| 20 | Iron Production (in 1000 metric tons) | Weight | 33,258 | 19 | 1231 | ||
| 21 | Iron Production (% of Total Iron Production) | Percent | 2 | 18 | 1234 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 1 | 1128 | |||
| 2 | 1M+ Cities per 100000 ( 1M+ Cities/ Tot Pop.)* 100000 | 0 | 7 | 1126 | |||
| 3 | Rural Pop. /Total Pop. % | % People | 40 | 71 | 1126 | ||
| 4 | Pop. without Electricity Access / Total Pop.% | % People | 14 | 13 | 1125 | ||
| 5 | Pop. without Electricity access | # People | 3,455,508 | 42 | 1127 | ||
|
Below World Average |
|||||||
| 1 | Pop. with access to Electricity (%) | % People | 86 | 183 | 1231 | ||
| 2 | # Cities>100000 | # Cities | 23 | 141 | 1230 | ||
| 3 | # Cities>100000 | # Cities | 21 | 132 | 1231 | ||
| 4 | # Cities>300000 | # Cities | 8 | 94 | 1230 | ||
| 5 | # Cities>300000 | # Cities | 7 | 86 | 1234 | ||
| 6 | # Cities>500000 | # Cities | 5 | 73 | 1232 | ||
| 7 | # Cities>500000 | # Cities | 4 | 65 | 1233 | ||
| 8 | Urban Population / Total Population % . | % People | 60 | 125 | 1234 | ||
| 9 | Urban Population (2021) | # People | 23,726,053 | 117 | 1232 | ||
| 10 | # Cities>1M | # Cities | 2 | 46 | 1230 | ||
| 11 | Rural Pop. | # People | 18,013,759 | 100 | 1232 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Xhosa | # People | 12,820 | 3 | 1128 | ||
| 2 | Maninka | # People | 43,974 | 6 | 1125 | ||
| 3 | Maninka as a % of total Maninka speakers | % People | 0 | 6 | 1127 | ||
| 4 | Bambara as a % of total Bambara speakers | % People | 0 | 8 | 1126 | ||
| 5 | Bambara | # People | 55,343 | 9 | 1130 | ||
|
Below World Average |
|||||||
| 1 | English as a % of total English speakers | % People | 0 | 34 | 1231 | ||
| 2 | English | # People | 3,175,743 | 29 | 1231 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Employment in Agriculture /Total Pop. %. | % People | 9 | 33 | 1127 | ||
| 2 | Employment in Agri. / Total Labour Force % . | % People | 23 | 39 | 1127 | ||
| 3 | Employment in Agriculture/Total Labour force %. | % People | 23 | 39 | 1127 | ||
| 4 | Total Labour Force/Total Pop. | % People | 43 | 81 | 1130 | ||
| 5 | Wage & Salaried Workers / Total Labour Force % | 2023)" | 0 | 156 | 1126 | ||
|
Below World Average |
|||||||
| 1 | Formal Jobs | # People | 10,605,934 | 141 | 1232 | ||
| 2 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 139 | 1234 | ||
| 3 | Non-Agricultural Labour Force | # People | 15,067,127 | 122 | 1232 | ||
| 4 | Total Labour Force (2021) | # People | 20,409,734 | 117 | 1233 | ||
| 5 | Employment in Services | # People | 10,251,634 | 115 | 1234 | ||
| 6 | Employment in Services / Total Labour Force %. | % People | 56 | 104 | 1232 | ||
| 7 | Employment in services/Total Labour force %. | % People | 56 | 104 | 1234 | ||
| 8 | Employment in Services /Total pop.%. | % People | 25 | 91 | 1230 | ||
| 9 | Employment in Agriculture | # People | 5,314,003 | 72 | 1233 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Christian Pop./Total Pop.% | % People | 42 | 41 | 1130 | ||
|
Below World Average |
|||||||
| 1 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 76 | 1233 | ||
| 2 | Islamic Population | # People | 9,936,734 | 78 | 1235 | ||
| 3 | Christian Pop./Total Christian Pop.% | % People | 0 | 74 | 1235 | ||
| 4 | Christian Population | # People | 11,885,917 | 74 | 1235 | ||
| 5 | Islamic Pop./Total Pop.% | % People | 22 | 62 | 1231 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Population Growth Rate (%) | % People | 0 | 42 | 1125 | ||
|
Below World Average |
|||||||
| 1 | Density ( Pop/Land Area Ratio) | Density | 312 | 134 | 1231 | ||
| 2 | Female % of Total Pop. | % People | 50 | 123 | 1230 | ||
| 3 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 1 | 123 | 1234 | ||
| 4 | Male Population (2025) | # People (In Thousands) | 21,226 | 116 | 1233 | ||
| 5 | Total Population (2025) | # People (In Thousands) | 42,003 | 115 | 1233 | ||
| 6 | Female Population (2025) | # People (In Thousands) | 20,993 | 114 | 1230 | ||
| 7 | Births | # People (In Thousands) | 681 | 89 | 1235 | ||
| 8 | Male % of Total Pop. | % People | 50 | 73 | 1233 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Corporate Tax Rates in % | Rate | 23 | 74 | 1130 | ||
|
Below World Average |
|||||||
| 1 | GDP Per Capita at PPP (USD) | $ | 30,228 | 179 | 1230 | ||
| 2 | GDP Per Capita (USD) | $ | 18,051 | 174 | 1234 | ||
| 3 | GDP (Billions USD) 2025 | $ Billions | 597 | 154 | 1235 | ||
| 4 | Import Ban(Number of products) | Count | 12 | 134 | 1232 | ||
| 5 | FDI (millions USD) | Amount | 3,115 | 97 | 1231 | ||
| 6 | FDI / Total FDI of the World %. | 0 | 94 | 1231 | |||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Literacy Rate (%) | % People | 86 | 184 | 1234 | ||
| 2 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 163 | 1233 | ||
| 3 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 139 | 1233 | ||
| 4 | Total Literate Pop. | # People | 34,678,001 | 136 | 1235 | ||
| 5 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 128 | 1235 | ||
| 6 | Teachers in secondary edu. | # People | 659,923 | 125 | 1231 | ||
| 7 | Enrolment in secondary edu. | # People | 9,727,510 | 124 | 1230 | ||
| 8 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 122 | 1232 | ||
| 9 | Teachers in tertiary edu. | # People | 297,976 | 118 | 1231 | ||
| 10 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 109 | 1235 | ||
| 11 | # Students per teacher in Primary edu. | Ratio | 260 | 104 | 1233 | ||
| 12 | Enrolment in primary edu. | # People | 9,629,078 | 103 | 1235 | ||
| 13 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 93 | 1234 | ||
| 14 | Teachers in primary edu. | # People | 357,113 | 83 | 1235 | ||
| 15 | # Students per teacher in secondary edu. | Ratio | 57 | 80 | 1234 | ||
| 16 | Teachers as a % of Enrolment | % People | 41 | 74 | 1230 | ||
| 17 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 60 | 1230 | ||
| 18 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 36 | 1233 | ||
| 19 | # Students per teacher in tertiary edu. | Ratio | 58 | 26 | 1232 | ||
| 20 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 24 | 1233 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Life Expectancy at Birth, both sexes | Age | 73 | 180 | 1232 | ||
| 2 | Doctors (Per 10,000) | People Per 10,000 | 20 | 163 | 1234 | ||
| 3 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 152 | 1234 | ||
| 4 | Nurses to doctor ratio | Ratio | 46 | 151 | 1231 | ||
| 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 | 1230 | ||
| 8 | Nurses(per 10000) | People per 10000 | 164,032 | 140 | 1234 | ||
| 9 | Dentist (per 10,000) | People per 10000 | 31 | 100 | 1234 | ||
| 10 | #Dentists | # People | 13,328 | 98 | 1231 | ||
| 11 | Dentist to doctor ratio | Ratio | 3 | 51 | 1230 | ||
| 12 | HIV Infections (Per 1000) | People Per 1,000 | 0 | 41 | 1234 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Int. Users / Total Pop.% | % People | 69 | 174 | 1235 | ||
| 2 | X (Twitter) Users as a % of Total Population | % People | 8 | 166 | 1230 | ||
| 3 | Instagram Users as a % of Total Population | % People | 31 | 167 | 1231 | ||
| 4 | X (Twitter) Users as a % of Total Internet Users | % People | 8 | 164 | 1235 | ||
| 5 | Instagram Users as a % of Total Internet Users | % People | 39 | 164 | 1235 | ||
| 6 | Facebook CPC in Rs. | Absolute | 5 | 160 | 1234 | ||
| 7 | LinkedIn Users as a % of Total Population | % People | 33 | 161 | 1230 | ||
| 8 | Instagram Users as a % of Total Instagram Users | % People | 0 | 129 | 1230 | ||
| 9 | X (Twitter) users | # People | 1,957,360 | 155 | 1234 | ||
| 10 | Instagram Users | Absolute | 10,458,072 | 155 | 1233 | ||
| 11 | FB Users / Total Pop. %. | % People | 27 | 146 | 1234 | ||
| 12 | LinkedIn Users as a % of Total Internet Users | % People | 36 | 145 | 1234 | ||
| 13 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 135 | 1231 | ||
| 14 | Facebook Users as a % of Total facebook Users | % People | 0 | 128 | 1232 | ||
| 15 | LinkedIn users | # People | 6,861,863 | 140 | 1235 | ||
| 16 | Internet Users | # People | 28,115,900 | 138 | 1230 | ||
| 17 | FB Users / Total Int. Users %. | % People | 34 | 133 | 1234 | ||
| 18 | Facebook users | # People | 7,098,427 | 129 | 1230 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Military Force/Total Pop. % | % People | 1 | 164 | 1231 | ||
| 2 | Total Military Force | # People | 358,465 | 158 | 1230 | ||
| 3 | Military Budget (in Billion $) | $ Billion | 15 | 147 | 1230 | ||
| 4 | Police Officers | # People | 138,224 | 94 | 1232 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | # Phone Numbers /Total Pop. % | Percent | 101 | 163 | 1234 | ||
| 2 | # Mobile phone numbers | Count | 40,393,496 | 134 | 1235 | ||
Mother Tongue : Xhosa
Literacy Rate (%) : 48.30
| Country Capital | : | Monrovia |
|---|---|---|
| GDP Per Capita | : | 908 |
| GDP Per Capita Rank | : | 174th/195 |
| Life Expectancy | : | 62 |
| Unemployment Rate | : | 0 |
| Number of Internet Users | : | 1,673,237 |
| Internet Users Rank | : | 137th/195 |
| Area | : | 96,321 |
| Area Rank | : | 106th/195 |
| Total Population | : | 5,731 |
| Total Population Rank | : | 115th/195 |
| Sr. | City | Total City Population (2023) |
|---|---|---|
| 1 | Monrovia | 1,376,810 |
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.
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.