Date: May 25, 2026
Zimbabwe is a mid-size country with 0.2% of the world's population. Zimbabwe is a republic country. It has 5 world heritage sites. It is rich in resources and has 4% Diamonds of the world.
Zimbabwe is the 73rd ranked country in population and 60th ranked in area out of 195 countries in the world. Please keep the country rank in perspective, for the highlights below.
GDP Per Capita (USD)
Military Budget (in Billion $)
Literacy Rate (%)
Out of 195 countries in the world, Zimbabwe is the 47th worst ranked in GDP Per Capita (USD) . This implies that this country is a developing country.
The Average Military Budget (in Billion $) of 195 countries in the world is 17. Zimbabwe is the 51st worst ranked country out of 195 countries. This may indicate lesser external security threats for the country.
Out of 195 countries in the world, Zimbabwe is the 62nd worst ranked in Literacy Rate (%) . This indicates that the educational infrastructure in this country is worse than it is in other countries.
Zimbabwe is the 70th worst ranked in Total No. of Doctors out of all the 195 countries.This may indicate worse healthcare infrastructure investment by the country or may indicate lower population
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Chibarwe | # People | 2,869,000 | 1 | 1129 | ||
| 2 | Ndau | # People | 4,000,000 | 1 | 1129 | ||
| 3 | Ndebele | # People | 1,334,333 | 1 | 1125 | ||
| 4 | Shona | # People | 1,411,160 | 1 | 1130 | ||
| 5 | Venda | # People | 1,500,000 | 1 | 1126 | ||
| 6 | Chibarwe as a % of total Chibarwe speakers | % People | 0 | 1 | 1125 | ||
| 7 | Nambya as a % of total Nambya speakers | % People | 0 | 1 | 1130 | ||
| 8 | Ndebele as a % of total Ndebele speakers | % People | 0 | 1 | 1125 | ||
| 9 | Shangani as a % of total Shangani speakers | % People | 0 | 1 | 1126 | ||
| 10 | Shona as a % of total Shona speakers | % People | 0 | 1 | 1127 | ||
| 11 | Sotho as a % of total Sotho speakers | % People | 0 | 1 | 1126 | ||
| 12 | Venda as a % of total Venda speakers | % People | 0 | 1 | 1125 | ||
| 13 | Songhay Languages | # People | 1,917,484 | 2 | 1130 | ||
| 14 | Chichewa as a % of total Chichewa speakers | % People | 0 | 2 | 1125 | ||
| 15 | Khoisan as a % of total Khoisan speakers | % People | 0 | 2 | 1129 | ||
| 16 | Xhosa as a % of total Xhosa speakers | % People | 0 | 3 | 1127 | ||
|
Below World Average |
|||||||
| 1 | English as a % of total English speakers | % People | 0 | 25 | 1235 | ||
| 2 | English | # People | 10,677,446 | 25 | 1233 | ||
| 3 | Gujarati | # People | 3,567,082 | 12 | 1234 | ||
| 4 | Afrikaans as a % of total Afrikaans speakers | % People | 0 | 11 | 1234 | ||
| 5 | Gujarati as a % of total Gujarati speakers | % People | 0 | 11 | 1230 | ||
| 6 | Afrikaans | # People | 31,969 | 7 | 1233 | ||
| 7 | Sotho | # People | 1,656,925 | 3 | 1233 | ||
| 8 | Kalanga | # People | 775,000 | 2 | 1235 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Cricket Playing Nations (ICC Members) | Count | 1 | 1 | 1125 | ||
| 2 | Christian Pop./Total Pop.% | % People | 42 | 28 | 1125 | ||
| 3 | Christian Pop./Total Christian Pop.% | % People | 0 | 39 | 1128 | ||
|
Below World Average |
|||||||
| 1 | Islamic Pop./Total Pop.% | % People | 22 | 144 | 1231 | ||
| 2 | Islamic Population | # People | 10,091,996 | 115 | 1230 | ||
| 3 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 101 | 1231 | ||
| 4 | # Olympic Medals | Count | 146 | 83 | 1234 | ||
| 5 | World Heritage Sites | Count | 7 | 66 | 1230 | ||
| 6 | Jewish Population | # People | 162,421 | 72 | 1230 | ||
| 7 | Christian Population | # People | 16,917,912 | 39 | 1235 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | FTAs in India for Education (%) | % People | 5 | 2 | 1125 | ||
| 2 | INDs via Mumbai Airport (%) | % People | 33 | 15 | 1129 | ||
| 3 | INDs via Hyderabad Airport (%) | % People | 3 | 15 | 1125 | ||
| 4 | FTAs in India via Mumbai (%) | % People | 23 | 29 | 1130 | ||
| 5 | INDs for Leisure (%) | % People | 46 | 35 | 1125 | ||
| 6 | FTAs in India via Delhi (%) | % People | 46 | 90 | 1128 | ||
| 7 | Corporate Tax Rates in % | Rate | 23 | 113 | 1130 | ||
|
Below World Average |
|||||||
| 1 | FTAs in India for Leisure (%) | % People | 42 | 169 | 1232 | ||
| 2 | FTAs in India via Hyderabad (%) | % People | 3 | 120 | 1234 | ||
| 3 | INDs via Delhi Airport (%) | % People | 38 | 155 | 1232 | ||
| 4 | GDP Per Capita at PPP (USD) | $ | 30,199 | 151 | 1230 | ||
| 5 | INDs via Kolkata Airport (%) | % People | 2 | 96 | 1234 | ||
| 6 | GDP Per Capita (USD) | $ | 18,044 | 149 | 1235 | ||
| 7 | FTAs in India via Cochin (%) | % People | 3 | 109 | 1232 | ||
| 8 | INDs via Chennai Airport (%) | % People | 5 | 123 | 1232 | ||
| 9 | Exports/Total GDP of the Country %. | 48 | 138 | 1233 | |||
| 10 | FTAs in India via Bengaluru (%) | % People | 6 | 121 | 1234 | ||
| 11 | Import Ban(Number of products) | Count | 12 | 115 | 1232 | ||
| 12 | FTAs in India via Chennai (%) | % People | 5 | 116 | 1234 | ||
| 13 | INDs - Indian Diaspora (%) | % People | 22 | 125 | 1235 | ||
| 14 | Exports /Total Exports of the World %. | 0 | 117 | 1231 | |||
| 15 | INDs via Ahmedabad Airport (%) | % People | 1 | 61 | 1232 | ||
| 16 | Imports/Total Imports of the World %. | 0 | 114 | 1230 | |||
| 17 | FDI / Total FDI of the World %. | 0 | 114 | 1233 | |||
| 18 | INDs via Bengaluru Airport (%) | % People | 5 | 101 | 1230 | ||
| 19 | Imports /Total GDP of the Country %. | 51 | 120 | 1235 | |||
| 20 | FTAs in India for Business (%) | % People | 18 | 111 | 1231 | ||
| 21 | Import of Goods and Services (in Million $) | Amount | 173,515 | 113 | 1235 | ||
| 22 | Export of Goods and Services (in Million $) | Amount | 180,704 | 110 | 1234 | ||
| 23 | FDI (millions USD) | Amount | 3,288 | 106 | 1230 | ||
| 24 | GDP (Billions USD) | $ Billions | 600 | 100 | 1232 | ||
| 25 | GDP as a % of Total GDP | Percent | 0 | 89 | 1234 | ||
| 26 | INDs from India | # People | 158,494 | 92 | 1234 | ||
| 27 | INDs for Business (%) | % People | 25 | 87 | 1231 | ||
| 28 | FTAs in India | # People | 51,254 | 73 | 1233 | ||
| 29 | FTAs in India - Indian Diaspora (%) | % People | 14 | 67 | 1235 | ||
| 30 | FTAs in India for Medical (%) | % People | 12 | 51 | 1235 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Cow Beef Production (in tonnes) | Weight | 320,761 | 16 | 1129 | ||
| 2 | Cow Beef Production (% of Total Cow Beef Production) | Percent | 0 | 16 | 1130 | ||
|
Below World Average |
|||||||
| 1 | Lithium Produced/Total Lithium Produced % | Weight | 12 | 6 | 1235 | ||
| 2 | Diamond Produced/Total Diamond Produced % | Weight | 10 | 6 | 1234 | ||
| 3 | Tree density. | Density | 22,685 | 114 | 1234 | ||
| 4 | Rice prod. | Tons | 6,920,442 | 110 | 1231 | ||
| 5 | Cow Milk Production (in tonnes) | Weight | 3,855,383 | 92 | 1234 | ||
| 6 | Cow Milk Production (% of Total Cow Milk Production) | Percent | 0 | 89 | 1235 | ||
| 7 | Chicken Meat Production (% of Total Chicken Meat Production) | Percent | 0 | 83 | 1230 | ||
| 8 | Chicken Meat Production (in tonnes) | Weight | 588,164 | 83 | 1233 | ||
| 9 | Apple Production (in tonnes) | Weight | 1,044,287 | 79 | 1230 | ||
| 10 | Apple Production (% of Total Apple Production) | Percent | 1 | 73 | 1230 | ||
| 11 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 68 | 1231 | ||
| 12 | Wheat prod. | Tons | 6,811,171 | 69 | 1231 | ||
| 13 | Barley prod. | Tons | 1,545,003 | 69 | 1232 | ||
| 14 | Barley Produced/Total Barley Produced.% | Weight | 1 | 66 | 1235 | ||
| 15 | Tree density . | Density | 828 | 65 | 1232 | ||
| 16 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 55 | 1230 | ||
| 17 | Potatoes prod. | Tons | 2,504,846 | 56 | 1233 | ||
| 18 | Onion Produced/Total Onion Produced % | Weight | 0 | 45 | 1235 | ||
| 19 | Number of Cows | Count | 8,697,624 | 47 | 1235 | ||
| 20 | Cows (% of Total Cows) | Percent | 0 | 46 | 1232 | ||
| 21 | Onion prod. | Tons | 819,042 | 46 | 1232 | ||
| 22 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 44 | 1233 | ||
| 23 | Number of Trees | Count | 15,642,617,148 | 45 | 1230 | ||
| 24 | Soyabean prod. | Tons | 3,572,369 | 44 | 1234 | ||
| 25 | Country forest area / Global Forest area % | 0 | 37 | 1233 | |||
| 26 | Forest Area. | Area | 21,595,147 | 37 | 1234 | ||
| 27 | Sweet Potatoes prod. | Tons | 878,129 | 35 | 1231 | ||
| 28 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 35 | 1233 | ||
| 29 | Orange Production (in tonnes) | Weight | 618,959 | 34 | 1232 | ||
| 30 | Coal Production (% of Total Coal Production) | Percent | 1 | 31 | 1235 | ||
| 31 | Orange Production (% of Total Orange Production) | Percent | 0 | 33 | 1233 | ||
| 32 | Coal Production (in 1000 metric tons) | Weight | 121,850 | 33 | 1230 | ||
| 33 | Sugarcane prod. | Tons | 20,929,075 | 30 | 1232 | ||
| 34 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 30 | 1230 | ||
| 35 | Cotton Production (in 1000 480 lb. Bales) | Weight | 1,707 | 30 | 1230 | ||
| 36 | Cotton Production (% of Total Cotton Production) | Percent | 1 | 30 | 1235 | ||
| 37 | Goat Meat Production (in tonnes) | Weight | 46,111 | 27 | 1231 | ||
| 38 | Goat Meat Production (% of Total Goat Meat Production) | Percent | 0 | 26 | 1231 | ||
| 39 | Diamond prod. | Tons | 11 | 6 | 1231 | ||
| 40 | Lithium prod. | Tons | 16,162 | 6 | 1232 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Female % of Total Pop. | % People | 50 | 20 | 1126 | ||
| 2 | Population Growth Rate (%) | % People | 0 | 48 | 1130 | ||
|
Below World Average |
|||||||
| 1 | Male % of Total Pop. | % People | 50 | 177 | 1230 | ||
| 2 | Total Population | # People | 42,357,833 | 73 | 1235 | ||
| 3 | Male Population | # People | 21,291,067 | 73 | 1231 | ||
| 4 | Female Population | # People | 21,066,765 | 73 | 1233 | ||
| 5 | Total Births | # People | 677,551 | 55 | 1234 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Employment in Agri. / Total Labour Force % . | % People | 23 | 22 | 1127 | ||
| 2 | Unemployment Rate. | % People | 6 | 22 | 1130 | ||
| 3 | Employment in Agriculture/Total Labour force %. | % People | 23 | 22 | 1129 | ||
| 4 | Employment in Agriculture /Total Pop. %. | % People | 9 | 27 | 1126 | ||
|
Below World Average |
|||||||
| 1 | Employment in Services / Total Labour Force %. | % People | 57 | 156 | 1233 | ||
| 2 | Employment in services/Total Labour force %. | % People | 56 | 156 | 1232 | ||
| 3 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 155 | 1232 | ||
| 4 | Employment in Services /Total pop.%. | % People | 25 | 149 | 1232 | ||
| 5 | Wage & Salaried Workers / Total Labour Force % | % People | 59 | 143 | 1230 | ||
| 6 | Total Labour Force/Total Pop. | % People | 43 | 135 | 1235 | ||
| 7 | Formal Jobs | # People | 10,605,934 | 98 | 1231 | ||
| 8 | Employment in Services | # People | 10,251,634 | 92 | 1231 | ||
| 9 | Non-Agricultural Labour Force | # People | 15,067,127 | 88 | 1232 | ||
| 10 | Total Labour Force (2021) | # People | 20,641,663 | 70 | 1234 | ||
| 11 | Labour Force Participation | # People | 14,659,929 | 58 | 1233 | ||
| 12 | Employment in Agriculture | # People | 5,314,003 | 42 | 1232 | ||
| 13 | Unemployed Labour Force. | # People | 1,511,199 | 40 | 1233 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Rural Pop. /Total Pop. % | % People | 40 | 33 | 1130 | ||
| 2 | Pop. without Electricity Access / Total Pop.% | % People | 14 | 26 | 1128 | ||
| 3 | Pop. without Electricity access | # People | 3,455,508 | 27 | 1128 | ||
|
Below World Average |
|||||||
| 1 | Pop. with access to Electricity (%) | % People | 86 | 170 | 1231 | ||
| 2 | Urban Population / Total Population % . | % People | 60 | 162 | 1233 | ||
| 3 | # Cities>1M | # Cities | 4 | 46 | 1230 | ||
| 4 | # Cities>100000 | # Cities | 27 | 89 | 1233 | ||
| 5 | # Cities>100000 | # Cities | 21 | 86 | 1234 | ||
| 6 | # Cities>1M | # Cities | 1 | 39 | 1231 | ||
| 7 | Urban Population (2021) | # People | 23,603,754 | 91 | 1234 | ||
| 8 | # Cities>300000 | # Cities | 11 | 63 | 1230 | ||
| 9 | # Cities>500000 | # Cities | 7 | 53 | 1231 | ||
| 10 | # Cities>300000 | # Cities | 7 | 59 | 1235 | ||
| 11 | # Cities>500000 | # Cities | 4 | 49 | 1232 | ||
| 12 | Rural Pop. | # People | 18,013,759 | 51 | 1235 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | No. of people HIV infected/Total pop. | # People | 5,202 | 12 | 1130 | ||
|
Below World Average |
|||||||
| 1 | Life Expectancy at Birth, both sexes | Age | 73 | 178 | 1235 | ||
| 2 | Dentist (per 10,000) | People per 10000 | 31 | 143 | 1233 | ||
| 3 | Total No. of Doctors | # People | 78,648 | 126 | 1232 | ||
| 4 | Total No. of Pharmacists | # People | 19,528 | 85 | 1230 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 142 | 1233 | ||
| 2 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 131 | 1230 | ||
| 3 | Teachers as a % of Enrolment | % People | 41 | 107 | 1233 | ||
| 4 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 153 | 1234 | ||
| 5 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 147 | 1235 | ||
| 6 | Literacy Rate (%) | % People | 86 | 134 | 1230 | ||
| 7 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 60 | 1235 | ||
| 8 | # Students per teacher in tertiary edu. | Ratio | 58 | 49 | 1233 | ||
| 9 | Enrolment in tertiary edu.(all programmes) | # People | 1,420,982 | 99 | 1232 | ||
| 10 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 58 | 1235 | ||
| 11 | Teachers in secondary edu. | # People | 201,153 | 94 | 1233 | ||
| 12 | Teachers in tertiary edu. | # People | 80,879 | 90 | 1234 | ||
| 13 | # Students per teacher in Primary edu. | Ratio | 260 | 63 | 1233 | ||
| 14 | Enrolment in secondary edu. | # People | 3,225,437 | 75 | 1232 | ||
| 15 | Total Literate Pop. | # People | 34,678,001 | 65 | 1235 | ||
| 16 | # Students per teacher in secondary edu. | Ratio | 57 | 43 | 1231 | ||
| 17 | Enrolment in primary edu. | # People | 3,831,465 | 50 | 1234 | ||
| 18 | Teachers in primary edu. | # People | 112,672 | 49 | 1231 | ||
| 19 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 31 | 1235 | ||
| 20 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 11 | 1232 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Int. Users / Total Pop.% | % People | 69 | 169 | 1231 | ||
| 2 | FB Users / Total Pop. %. | % People | 27 | 153 | 1232 | ||
| 3 | Instagram Users as a % of Total Population | % People | 29 | 151 | 1235 | ||
| 4 | FB Users / Total Int. Users %. | % People | 34 | 148 | 1235 | ||
| 5 | Instagram Users as a % of Total Internet Users | % People | 36 | 143 | 1234 | ||
| 6 | LinkedIn Users as a % of Total Population | % People | 34 | 135 | 1235 | ||
| 7 | X (Twitter) Users as a % of Total Population | % People | 13 | 129 | 1230 | ||
| 8 | Instagram Users | Absolute | 10,458,072 | 115 | 1234 | ||
| 9 | Instagram Users as a % of Total Instagram Users | % People | 0 | 109 | 1232 | ||
| 10 | LinkedIn Users as a % of Total Internet Users | % People | 37 | 107 | 1235 | ||
| 11 | X (Twitter) Users as a % of Total Internet Users | % People | 12 | 100 | 1235 | ||
| 12 | Facebook CPC in Rs. | Absolute | 5 | 91 | 1235 | ||
| 13 | Facebook Users as a % of Total facebook Users | % People | 0 | 87 | 1230 | ||
| 14 | Facebook users | # People | 11,706,915 | 89 | 1233 | ||
| 15 | Internet Users | # People | 28,543,790 | 88 | 1235 | ||
| 16 | LinkedIn users | # People | 7,145,162 | 83 | 1234 | ||
| 17 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 80 | 1233 | ||
| 18 | X (Twitter) Users as a % of Total X (Twitter) Users | % People | 0 | 80 | 1235 | ||
| 19 | X (Twitter) users | # People | 1,789,045 | 80 | 1232 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Military Budget (in Billion $) | $ Billion | 17 | 140 | 1235 | ||
| 2 | Military Force/Total Pop. % | % People | 1 | 107 | 1230 | ||
| 3 | Military Force/Total World Military Force %. | % People | 0 | 85 | 1231 | ||
| 4 | Total Military Force | # People | 362,682 | 88 | 1232 | ||
| 5 | Judges Per 100K | People Per 100K | 11 | 86 | 1230 | ||
| 6 | Police Officers | # People | 138,224 | 42 | 1231 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | # Phone Numbers /Total Pop. % | Percent | 101 | 118 | 1233 | ||
| 2 | # Mobile phone numbers | Count | 40,393,496 | 65 | 1230 | ||
Mother Tongue : Shona
Literacy Rate (%) : 86.50
| Country Capital | : | Harare |
|---|---|---|
| GDP Per Capita | : | 2,199 |
| GDP Per Capita Rank | : | 149th/195 |
| Life Expectancy | : | 63 |
| Unemployment Rate | : | 9 |
| Number of Internet Users | : | 5,365,362 |
| Internet Users Rank | : | 90th/195 |
| Area | : | 386,850 |
| Area Rank | : | 60th/195 |
| Total Population | : | 16,951 |
| Total Population Rank | : | 73rd/195 |
| Sr. | City | Total City Population (2023) |
|---|---|---|
| 1 | Bulawayo | 666,802 |
| 2 | Chitungwiza | 364,174 |
| 3 | Gweru | 144,118 |
| 4 | Harare | 2,166,980 |
| 5 | Mutare | 228,834 |
| 6 | Kwekwe | 102,985 |
| 7 | Epworth | 155,244 |
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.