Date: May 25, 2026
Uganda is a mid-size country with 0.6% of the world's population. Uganda is a republic country. It has 3 world heritage sites.
Uganda is the 31st ranked country in population and 83rd ranked in area out of 195 countries in the world. Please keep the country rank in perspective, for the highlights below.
Sweet Potatoes prod.
Employment in Agriculture
Enrolment in primary edu.
Uganda is the 7th highest ranked in Sweet Potatoes prod. out of all the 195 countries.This is indicative of a more fertile land, suitable for producing high quantities of sweet potatoes when compared to other countries.
Out of 195 countries in the world, Uganda is the 11th highest ranked in Employment in Agriculture . This implies that a significant portion of population is living in rural areas or simply imply that the country is developing
Out of 195 countries in the world, Uganda is the 15th highest ranked in Enrolment in primary edu. . This may take into context a higher country population, or imply that more people in this country pursue primary education when compared to other countries.
The Average Rural Pop. of 195 countries in the world is 18,013,759. Uganda is the 19th highest ranked country out of 195 countries. This implies that the economy of this country is majorly agriculture driven, or may imply that there is less industrialisation when compared to other countries.
GDP Per Capita (USD)
Literacy Rate (%)
Teachers in tertiary edu.
The Average GDP Per Capita (USD) of 195 countries in the world is 18,044. Uganda is the 34th worst ranked country out of 195 countries. This implies that this country is a developing country.
Out of 195 countries in the world, Uganda is the 39th worst ranked in Literacy Rate (%) . This indicates that the educational infrastructure in this country is worse than it is in other countries.
Uganda is the 95th worst ranked in Teachers in tertiary edu. out of all the 195 countries.This may indicate that the investment by the country in higher education is lesser when compared to other countries.
Uganda is the 95th 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 | Kinyarwanda as a % of total Kinyarwanda speakers | % People | 0 | 3 | 1128 | ||
| 2 | English as a % of total English speakers | % People | 0 | 9 | 1128 | ||
|
Below World Average |
|||||||
| 1 | Swahili as a % of total Swahili speakers | % People | 0 | 12 | 1235 | ||
| 2 | Swahili | # People | 1,275,639 | 13 | 1231 | ||
| 3 | English | # People | 10,677,446 | 9 | 1234 | ||
| 4 | Gujarati | # People | 3,567,082 | 7 | 1235 | ||
| 5 | Kinyarwanda | # People | 8,408,000 | 3 | 1232 | ||
| 6 | Gujarati as a % of total Gujarati speakers | % People | 0 | 3 | 1231 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | INDs via Ahmedabad Airport (%) | % People | 1 | 4 | 1125 | ||
| 2 | FTAs in India via Mumbai (%) | % People | 23 | 6 | 1127 | ||
| 3 | INDs via Hyderabad Airport (%) | % People | 3 | 8 | 1127 | ||
| 4 | INDs via Trivandrum Airport (%) | % People | 1 | 10 | 1130 | ||
| 5 | Corporate Tax Rates in % | Rate | 23 | 16 | 1126 | ||
| 6 | INDs via Kolkata Airport (%) | % People | 2 | 17 | 1130 | ||
| 7 | FTAs in India for Business (%) | % People | 18 | 21 | 1128 | ||
| 8 | FTAs in India via Hyderabad (%) | % People | 3 | 27 | 1126 | ||
| 9 | FTAs in India for Medical (%) | % People | 12 | 43 | 1130 | ||
| 10 | FTAs in India - Indian Diaspora (%) | % People | 14 | 55 | 1125 | ||
| 11 | INDs for Leisure (%) | % People | 46 | 57 | 1129 | ||
| 12 | INDs - Indian Diaspora (%) | % People | 22 | 57 | 1126 | ||
| 13 | INDs via Mumbai Airport (%) | % People | 33 | 62 | 1128 | ||
|
Below World Average |
|||||||
| 1 | FTAs in India via Delhi (%) | % People | 46 | 172 | 1230 | ||
| 2 | FTAs in India for Leisure (%) | % People | 42 | 169 | 1235 | ||
| 3 | GDP Per Capita (USD) | $ | 18,044 | 162 | 1233 | ||
| 4 | GDP Per Capita at PPP (USD) | $ | 30,199 | 161 | 1234 | ||
| 5 | INDs via Delhi Airport (%) | % People | 38 | 157 | 1231 | ||
| 6 | FTAs in India via Chennai (%) | % People | 5 | 134 | 1232 | ||
| 7 | Exports/Total GDP of the Country %. | 48 | 159 | 1235 | |||
| 8 | INDs via Bengaluru Airport (%) | % People | 5 | 123 | 1230 | ||
| 9 | Imports /Total GDP of the Country %. | 51 | 144 | 1231 | |||
| 10 | INDs via Chennai Airport (%) | % People | 5 | 123 | 1230 | ||
| 11 | FTAs in India via Bengaluru (%) | % People | 6 | 121 | 1234 | ||
| 12 | INDs for Business (%) | % People | 25 | 125 | 1230 | ||
| 13 | INDs via Cochin Airport (%) | % People | 3 | 86 | 1231 | ||
| 14 | Export of Goods and Services (in Million $) | Amount | 180,704 | 118 | 1230 | ||
| 15 | Exports /Total Exports of the World %. | 0 | 103 | 1230 | |||
| 16 | Import of Goods and Services (in Million $) | Amount | 173,515 | 109 | 1233 | ||
| 17 | Imports/Total Imports of the World %. | 0 | 98 | 1231 | |||
| 18 | Import Ban(Number of products) | Count | 12 | 99 | 1235 | ||
| 19 | GDP (Billions USD) | $ Billions | 600 | 88 | 1232 | ||
| 20 | GDP as a % of Total GDP | Percent | 0 | 86 | 1233 | ||
| 21 | FTAs in India via Cochin (%) | % People | 3 | 54 | 1233 | ||
| 22 | INDs for Education (%) | % People | 3 | 54 | 1233 | ||
| 23 | INDs via Calicut Airport (%) | % People | 1 | 31 | 1234 | ||
| 24 | FTAs in India | # People | 51,254 | 61 | 1234 | ||
| 25 | FDI (millions USD) | Amount | 3,288 | 57 | 1232 | ||
| 26 | FDI / Total FDI of the World %. | 0 | 55 | 1230 | |||
| 27 | FTAs in India for Education (%) | % People | 5 | 46 | 1234 | ||
| 28 | INDs from India | # People | 158,494 | 46 | 1234 | ||
| 29 | INDs for Pilgrimage (%) | % People | 5 | 15 | 1231 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Sweet Potatoes prod. | Tons | 878,129 | 7 | 1129 | ||
| 2 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 7 | 1127 | ||
| 3 | Number of Cows | Count | 8,697,624 | 23 | 1130 | ||
| 4 | Cows (% of Total Cows) | Percent | 0 | 23 | 1129 | ||
|
Below World Average |
|||||||
| 1 | Tree density . | Density | 828 | 136 | 1232 | ||
| 2 | Tree density. | Density | 22,685 | 130 | 1234 | ||
| 3 | Number of Trees | Count | 15,642,617,148 | 111 | 1233 | ||
| 4 | Country forest area / Global Forest area % | 0 | 95 | 1232 | |||
| 5 | Forest Area. | Area | 21,595,147 | 99 | 1232 | ||
| 6 | Wheat prod. | Tons | 6,811,171 | 91 | 1230 | ||
| 7 | Chicken Meat Production (% of Total Chicken Meat Production) | Percent | 0 | 83 | 1231 | ||
| 8 | Chicken Meat Production (in tonnes) | Weight | 588,164 | 86 | 1234 | ||
| 9 | Potatoes prod. | Tons | 2,504,846 | 69 | 1233 | ||
| 10 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 67 | 1233 | ||
| 11 | Rice Produced/Total Rice Produced.% | Weight | 0 | 55 | 1235 | ||
| 12 | Rice prod. | Tons | 6,920,442 | 56 | 1231 | ||
| 13 | Cow Beef Production (in tonnes) | Weight | 320,761 | 45 | 1234 | ||
| 14 | Cow Beef Production (% of Total Cow Beef Production) | Percent | 0 | 45 | 1233 | ||
| 15 | Onion prod. | Tons | 819,042 | 42 | 1234 | ||
| 16 | Onion Produced/Total Onion Produced % | Weight | 0 | 42 | 1235 | ||
| 17 | Iron Production (in 1000 metric tons) | Weight | 33,258 | 40 | 1231 | ||
| 18 | Iron Production (% of Total Iron Production) | Percent | 2 | 37 | 1231 | ||
| 19 | Cow Milk Production (in tonnes) | Weight | 3,855,383 | 39 | 1235 | ||
| 20 | Cow Milk Production (% of Total Cow Milk Production) | Percent | 0 | 39 | 1234 | ||
| 21 | Cotton Production (in 1000 480 lb. Bales) | Weight | 1,707 | 38 | 1231 | ||
| 22 | Cotton Production (% of Total Cotton Production) | Percent | 1 | 36 | 1235 | ||
| 23 | Soyabean prod. | Tons | 3,572,369 | 32 | 1233 | ||
| 24 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 30 | 1235 | ||
| 25 | Goat Meat Production (in tonnes) | Weight | 46,111 | 28 | 1230 | ||
| 26 | Goat Meat Production (% of Total Goat Meat Production) | Percent | 0 | 28 | 1231 | ||
| 27 | Sugarcane prod. | Tons | 20,929,075 | 26 | 1233 | ||
| 28 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 26 | 1230 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Employment in Agriculture /Total Pop. %. | % People | 9 | 7 | 1129 | ||
| 2 | Employment in Agri. / Total Labour Force % . | % People | 23 | 9 | 1126 | ||
| 3 | Employment in Agriculture/Total Labour force %. | % People | 23 | 9 | 1125 | ||
| 4 | Employment in Agriculture | # People | 5,314,003 | 11 | 1130 | ||
| 5 | Labour Force Participation | # People | 14,659,929 | 20 | 1128 | ||
| 6 | Total Labour Force (2021) | # People | 20,641,663 | 33 | 1128 | ||
|
Below World Average |
|||||||
| 1 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 168 | 1234 | ||
| 2 | Employment in Services / Total Labour Force %. | % People | 57 | 167 | 1234 | ||
| 3 | Employment in services/Total Labour force %. | % People | 56 | 167 | 1232 | ||
| 4 | Employment in Services /Total pop.%. | % People | 25 | 159 | 1234 | ||
| 5 | Wage & Salaried Workers / Total Labour Force % | % People | 59 | 158 | 1230 | ||
| 6 | Total Labour Force/Total Pop. | % People | 43 | 98 | 1230 | ||
| 7 | Unemployment Rate. | % People | 6 | 97 | 1234 | ||
| 8 | Formal Jobs | # People | 10,605,934 | 61 | 1232 | ||
| 9 | Non-Agricultural Labour Force | # People | 15,067,127 | 48 | 1235 | ||
| 10 | Employment in Services | # People | 10,251,634 | 47 | 1230 | ||
| 11 | Unemployed Labour Force. | # People | 1,511,199 | 35 | 1231 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Total Births | # People | 677,551 | 15 | 1130 | ||
| 2 | Population Growth Rate (%) | % People | 0 | 16 | 1125 | ||
| 3 | Total Population | # People | 42,357,833 | 30 | 1130 | ||
| 4 | Male Population | # People | 21,291,067 | 30 | 1130 | ||
| 5 | Female Population | # People | 21,066,765 | 30 | 1129 | ||
| 6 | Female % of Total Pop. | % People | 50 | 95 | 1129 | ||
|
Below World Average |
|||||||
| 1 | Male % of Total Pop. | % People | 50 | 100 | 1231 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Enrolment in primary edu. | # People | 3,831,465 | 15 | 1127 | ||
| 2 | Teachers in primary edu. | # People | 112,672 | 28 | 1128 | ||
| 3 | Total Literate Pop. | # People | 34,678,001 | 36 | 1130 | ||
|
Below World Average |
|||||||
| 1 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 151 | 1235 | ||
| 2 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 184 | 1234 | ||
| 3 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 181 | 1234 | ||
| 4 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 147 | 1230 | ||
| 5 | Teachers as a % of Enrolment | % People | 41 | 114 | 1231 | ||
| 6 | Literacy Rate (%) | % People | 86 | 157 | 1235 | ||
| 7 | Teachers in tertiary edu. | # People | 80,879 | 101 | 1231 | ||
| 8 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 36 | 1233 | ||
| 9 | Enrolment in tertiary edu.(all programmes) | # People | 1,420,982 | 89 | 1234 | ||
| 10 | # Students per teacher in Primary edu. | Ratio | 260 | 52 | 1231 | ||
| 11 | # Students per teacher in tertiary edu. | Ratio | 58 | 11 | 1232 | ||
| 12 | Teachers in secondary edu. | # People | 201,153 | 72 | 1234 | ||
| 13 | # Students per teacher in secondary edu. | Ratio | 57 | 52 | 1230 | ||
| 14 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 29 | 1235 | ||
| 15 | Enrolment in secondary edu. | # People | 3,225,437 | 60 | 1233 | ||
| 16 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 19 | 1234 | ||
| 17 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 7 | 1233 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Christian Population | # People | 16,917,912 | 16 | 1129 | ||
| 2 | Christian Pop./Total Christian Pop.% | % People | 0 | 16 | 1125 | ||
| 3 | Christian Pop./Total Pop.% | % People | 42 | 50 | 1128 | ||
|
Below World Average |
|||||||
| 1 | World Heritage Sites | Count | 7 | 93 | 1235 | ||
| 2 | Islamic Pop./Total Pop.% | % People | 22 | 73 | 1231 | ||
| 3 | # Olympic Medals | Count | 146 | 71 | 1235 | ||
| 4 | Total Medals | Count | 12 | 58 | 1233 | ||
| 5 | Silver Medal | Count | 5 | 40 | 1232 | ||
| 6 | Gold Medal | Count | 5 | 38 | 1230 | ||
| 7 | Islamic Population | # People | 10,091,996 | 49 | 1235 | ||
| 8 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 47 | 1234 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | Rural Pop. | # People | 18,013,759 | 19 | 1130 | ||
| 2 | Rural Pop. /Total Pop. % | % People | 40 | 22 | 1129 | ||
| 3 | Pop. without Electricity access | # People | 3,455,508 | 5 | 1126 | ||
| 4 | Pop. without Electricity Access / Total Pop.% | % People | 14 | 18 | 1127 | ||
|
Below World Average |
|||||||
| 1 | Pop. with access to Electricity (%) | % People | 86 | 178 | 1231 | ||
| 2 | Urban Population / Total Population % . | % People | 60 | 174 | 1234 | ||
| 3 | # Cities>300000 | # Cities | 7 | 86 | 1234 | ||
| 4 | # Cities>500000 | # Cities | 7 | 73 | 1230 | ||
| 5 | # Cities>500000 | # Cities | 4 | 65 | 1231 | ||
| 6 | # Cities>1M | # Cities | 4 | 46 | 1231 | ||
| 7 | # Cities>1M | # Cities | 1 | 39 | 1232 | ||
| 8 | # Cities>100000 | # Cities | 21 | 73 | 1235 | ||
| 9 | # Cities>300000 | # Cities | 11 | 63 | 1235 | ||
| 10 | # Cities>100000 | # Cities | 27 | 69 | 1232 | ||
| 11 | Urban Population (2021) | # People | 23,603,754 | 55 | 1233 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | X (Twitter) Users as a % of Total Internet Users | % People | 12 | 40 | 1129 | ||
|
Below World Average |
|||||||
| 1 | Int. Users / Total Pop.% | % People | 69 | 194 | 1230 | ||
| 2 | FB Users / Total Pop. %. | % People | 27 | 184 | 1234 | ||
| 3 | FB Users / Total Int. Users %. | % People | 34 | 170 | 1234 | ||
| 4 | Instagram Users as a % of Total Population | % People | 29 | 170 | 1230 | ||
| 5 | LinkedIn Users as a % of Total Population | % People | 34 | 158 | 1230 | ||
| 6 | Facebook CPC in Rs. | Absolute | 5 | 134 | 1235 | ||
| 7 | Instagram Users as a % of Total Internet Users | % People | 36 | 138 | 1234 | ||
| 8 | X (Twitter) Users as a % of Total Population | % People | 13 | 135 | 1230 | ||
| 9 | Instagram Users as a % of Total Instagram Users | % People | 0 | 104 | 1234 | ||
| 10 | Facebook users | # People | 11,706,915 | 105 | 1232 | ||
| 11 | Facebook Users as a % of Total facebook Users | % People | 0 | 105 | 1231 | ||
| 12 | Instagram Users | Absolute | 10,458,072 | 106 | 1230 | ||
| 13 | Internet Users | # People | 28,543,790 | 96 | 1230 | ||
| 14 | LinkedIn users | # People | 7,145,162 | 67 | 1232 | ||
| 15 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 67 | 1230 | ||
| 16 | LinkedIn Users as a % of Total Internet Users | % People | 37 | 69 | 1235 | ||
| 17 | X (Twitter) Users as a % of Total X (Twitter) Users | % People | 0 | 54 | 1232 | ||
| 18 | X (Twitter) users | # People | 1,789,045 | 55 | 1234 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Above World Average |
|||||||
| 1 | No. of people HIV infected/Total pop. | # People | 5,202 | 4 | 1127 | ||
|
Below World Average |
|||||||
| 1 | Life Expectancy at Birth, both sexes | Age | 73 | 144 | 1234 | ||
| 2 | Total No. of Doctors | # People | 78,648 | 101 | 1235 | ||
| 3 | Total No. of Pharmacists | # People | 19,528 | 92 | 1231 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | # Phone Numbers /Total Pop. % | Percent | 101 | 164 | 1230 | ||
| 2 | # Mobile phone numbers | Count | 40,393,496 | 47 | 1234 | ||
| Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
|---|---|---|---|---|---|---|---|
|
Below World Average |
|||||||
| 1 | Military Force/Total Pop. % | % People | 1 | 144 | 1231 | ||
| 2 | Military Budget/Total World Military Budget %. | Percent | 0 | 84 | 1233 | ||
| 3 | Military Budget (in Billion $) | $ Billion | 17 | 88 | 1231 | ||
| 4 | Total Military Force | # People | 362,682 | 84 | 1234 | ||
| 5 | Military Force/Total World Military Force %. | % People | 0 | 83 | 1234 | ||
Mother Tongue : English
Literacy Rate (%) : 76.50
| Country Capital | : | Kampala |
|---|---|---|
| GDP Per Capita | : | 1,338 |
| GDP Per Capita Rank | : | 160th/195 |
| Life Expectancy | : | 68 |
| Unemployment Rate | : | 3 |
| Number of Internet Users | : | 4,933,209 |
| Internet Users Rank | : | 98th/195 |
| Area | : | 199,807 |
| Area Rank | : | 83rd/195 |
| Total Population | : | 51,385 |
| Total Population Rank | : | 31st/195 |
| Sr. | City | Total City Population (2023) |
|---|---|---|
| 1 | Kampala | 1,556,264 |
| 2 | Nansana | 377,040 |
| 3 | Kira | 327,508 |
| 4 | Ssabagabo | 292,517 |
| 5 | Mbarara | 201,912 |
| 6 | Mukono | 168,020 |
| 7 | Njeru | 164,756 |
| 8 | Gulu | 155,211 |
| 9 | Lugazi | 118,262 |
| 10 | Mubende | 106,850 |
| 11 | Masaka | 106,596 |
| 12 | Kasese | 104,363 |
| 13 | Hoima | 103,366 |
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.