Nepal Analytics
LANGUAGES
- Official Language:
- 1. Nepali
: 13,780,000
- 2. Urdu
: 803,000
Mother Tongue : Nepali
Literacy Rate (%) : 68
Country Capital | : | Kathmandu |
---|---|---|
GDP Per capita | : | 5,614 |
GDP Per Capita Rank | : | 146th/195 |
Life Expectancy | : | 70 |
Unemployment Rate | : | 0 |
Number of Internet Users | : | 14,706,410 |
Internet Users Rank | : | 49th/195 |
Area | : | 147,181 |
Area Rank | : | 92nd/195 |
Total Population | : | 29,618 |
Total Population Rank | : | 52nd/195 |
Nepal Highlights
Nepal is the 52nd ranked country in population and 92nd ranked in area out of 195 countries in the world.Please keep the country rank in perspective, for the highlights below.
Better than World Average-
- 1. Nepal is the 22nd highest ranked in Potatoes prod. out of 195 countries in the world. This is indicative of a more fertile land, suitable for producing high quantities of potatoes when compared to other countries.
- 2. The average Rural Pop. of 195 countries in the world is 18,013,759. Nepal is the 24th 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.
Worse than World Average-
- 1. Nepal is the 28th 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. Nepal is the 50th 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, Nepal is the 75th worst ranked in Doctors (Per 10,000) . This may indicate worse healthcare infrastructure investment by the country or may indicate lower population.
Nepal Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Nepali | # People | 85,917 | 1 | 1128 | ||
2 | Nepali as a % of total Nepali speakers | % People | 0 | 1 | 1128 | ||
3 | Urdu | # People | 472,866 | 4 | 1126 | ||
Below than World Average- |
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1 | Bengali as a % of total Bengali speakers | % People | 0 | 6 | 1232 | ||
2 | Urdu as a % of total Urdu speakers | % People | 0 | 4 | 1230 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Hindu Population | # People | 6,207,784 | 2 | 1127 | ||
2 | Buddhist Population | # People | 1,911,974 | 12 | 1129 | ||
Below than World Average- |
|||||||
1 | World Heritage Sites | Count | 7 | 82 | 1233 | ||
2 | Islamic Population | # People | 9,936,734 | 72 | 1233 |
--- Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Hindu Pop./Total Pop.%. | % People | 2 | 2 | 1126 | ||
2 | Hindu Pop./Total Hindu Pop.% | % People | 0 | 2 | 1128 | ||
3 | Buddhist Pop./Total Buddhist Pop. % | % People | 0 | 12 | 1128 | ||
4 | Buddhist Pop./Total Pop.%. | % People | 3 | 13 | 1129 | ||
Below than World Average- |
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1 | Islamic Pop./Total Pop.% | % People | 22 | 103 | 1235 | ||
2 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 72 | 1230 |
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Rural Pop. /Total Pop. % | % People | 40 | 12 | 1128 | ||
2 | Rural Pop. | # People | 18,013,759 | 24 | 1125 | ||
3 | Pop. with access to Electricity (%) | % People | 86 | 136 | 1127 | ||
Below than World Average- |
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1 | Urban Population / Total Population % . | % People | 60 | 184 | 1230 | ||
2 | # Cities>300000 | # Cities | 7 | 86 | 1232 | ||
3 | # Cities>500000 | # Cities | 5 | 73 | 1235 | ||
4 | # Cities>500000 | # Cities | 4 | 65 | 1234 | ||
5 | # Cities>1M | # Cities | 2 | 46 | 1233 | ||
6 | # Cities>300000 | # Cities | 8 | 78 | 1232 | ||
7 | Urban Population | # People | 23,726,053 | 84 | 1234 | ||
8 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 69 | 1231 | |||
9 | # Cities>100000 | # Cities | 21 | 69 | 1233 | ||
10 | # Cities>100000 | # Cities | 23 | 64 | 1230 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Employment in Agri. / Total Labour Force % . | % People | 23 | 13 | 1130 | ||
2 | Employment in Agriculture/Total Labour force %. | % People | 23 | 13 | 1129 | ||
3 | Employment in Agriculture /Total Pop. %. | % People | 9 | 40 | 1126 | ||
Below than World Average- |
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1 | Employment in services/Total Labour force %. | % People | 56 | 173 | 1231 | ||
2 | Employment in Services / Total Labour Force %. | % People | 56 | 175 | 1232 | ||
3 | Employment in Services /Total pop.%. | % People | 25 | 175 | 1230 | ||
4 | Total Labour Force/Total Pop. | % People | 43 | 165 | 1233 | ||
5 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 163 | 1233 | ||
6 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 157 | 1232 | ||
7 | Formal Jobs | # People | 10,605,934 | 102 | 1231 | ||
8 | Employment in Services | # People | 10,251,634 | 100 | 1235 | ||
9 | Non-Agricultural Labour Force | # People | 15,067,127 | 81 | 1233 | ||
10 | Teachers in primary edu. | # People | 357,113 | 68 | 1235 | ||
11 | Total Labour Force (2023) | # People | 20,409,734 | 60 | 1235 | ||
12 | Employment in Agriculture | # People | 5,314,003 | 27 | 1234 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Female % of Total Pop. | % People | 50 | 17 | 1129 | ||
2 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 1 | 17 | 1126 | ||
Below than World Average- |
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1 | Male % of Total Pop. | % People | 50 | 177 | 1235 | ||
2 | Population Growth Rate (%) | % People | 0 | 155 | 1235 | ||
3 | Male Population (2025) | # People (In Thousands) | 21,226 | 53 | 1234 | ||
4 | Total Population (2025) | # People (In Thousands) | 42,003 | 52 | 1234 | ||
5 | Female Population (2025) | # People (In Thousands) | 20,993 | 50 | 1234 | ||
6 | Births | # People (In Thousands) | 681 | 50 | 1232 | ||
7 | Density ( Pop/Land Area Ratio) | Density | 312 | 50 | 1235 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Potatoes prod. | Tons | 2,538,925 | 22 | 1129 | ||
2 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 22 | 1125 | ||
Below than World Average- |
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1 | Tree density . | Density | 828 | 115 | 1232 | ||
2 | Tree density. | Density | 22,685 | 89 | 1232 | ||
3 | Barley Produced/Total Barley Produced.% | Weight | 1 | 71 | 1232 | ||
4 | Barley prod. | Tons | 1,576,534 | 74 | 1234 | ||
5 | Forest Area. | Area | 21,142,892 | 71 | 1234 | ||
6 | Country forest area / Global Forest area % | 0 | 66 | 1234 | |||
7 | Number of Trees | Count | 15,642,617,148 | 68 | 1234 | ||
8 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 47 | 1234 | ||
9 | Soyabean prod. | Tons | 3,684,006 | 55 | 1230 | ||
10 | Honey prod. | Tons | 16,211 | 44 | 1231 | ||
11 | Honey Produced /Total Honey Produced % | Weight | 0 | 44 | 1235 | ||
12 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 38 | 1230 | ||
13 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 37 | 1231 | ||
14 | Wheat prod. | Tons | 6,698,590 | 38 | 1235 | ||
15 | Sugarcane prod. | Tons | 52,039,862 | 37 | 1235 | ||
16 | Rice prod. | Tons | 6,981,685 | 15 | 1232 | ||
17 | Rice Produced/Total Rice Produced.% | Weight | 0 | 15 | 1231 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | FB Users / Total Int. Users %. | % People | 33 | 58 | 1129 | ||
Below than World Average- |
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1 | Int. Users / Total Pop.% | % People | 70 | 146 | 1230 | ||
2 | Twitter Users as a % of Total Population | % People | 14 | 140 | 1231 | ||
3 | Twitter Users as a % of Total Internet Users | % People | 15 | 139 | 1230 | ||
4 | LinkedIn Users as a % of Total Population | % People | 30 | 135 | 1232 | ||
5 | LinkedIn Users as a % of Total Internet Users | % People | 33 | 126 | 1234 | ||
6 | FB Users / Total Pop. %. | % People | 26 | 112 | 1232 | ||
7 | Twitter users | # People | 3,179,254 | 86 | 1235 | ||
8 | Twitter Users as a % of Total Twitter Users | % People | 0 | 82 | 1233 | ||
9 | Facebook CPC in Rs. | Absolute | 5 | 85 | 1235 | ||
10 | LinkedIn users | # People | 6,064,509 | 60 | 1234 | ||
11 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 58 | 1231 | ||
12 | Internet Users | # People | 28,408,774 | 49 | 1232 | ||
13 | Facebook Users as a % of Total facebook Users | % People | 0 | 36 | 1233 | ||
14 | Facebook users | # People | 7,174,483 | 36 | 1233 |
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 | 1127 | ||
Below than World Average- |
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1 | Exports/Total GDP of the Country %. | 46 | 161 | 1231 | |||
2 | FDI / Total FDI of the World %. | 0 | 138 | 1235 | |||
3 | GDP Per Capita (USD) | $ | 30,070 | 146 | 1234 | ||
4 | FDI (millions USD) | Amount | 3,115 | 141 | 1234 | ||
5 | Exports /Total Exports of the World %. | 0 | 125 | 1232 | |||
6 | Export of Goods and Services (in Million $) | Amount | 186,399 | 131 | 1232 | ||
7 | Imports /Total GDP of the Country %. | 53 | 105 | 1231 | |||
8 | Imports/Total Imports of the World %. | 0 | 97 | 1234 | |||
9 | Import of Goods and Services (in Million $) | Amount | 183,299 | 100 | 1230 | ||
10 | GDP as a % of Total GDP | Percent | 0 | 91 | 1234 | ||
11 | GDP (Billions USD) | $ Billions | 613 | 94 | 1233 | ||
12 | Import Ban(Number of products) | Count | 12 | 84 | 1231 |
Media Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | # Phone Numbers /Total Pop. % | Percent | 101 | 75 | 1127 | ||
Below than World Average- |
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1 | # Mobile phone numbers | Count | 40,393,496 | 41 | 1230 |
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 | 165 | 1235 | ||
2 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 107 | 1235 | ||
3 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 105 | 1230 | ||
4 | Total Literate Pop. | # People | 34,678,001 | 57 | 1235 | ||
5 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 50 | 1232 | ||
6 | Teachers in secondary edu. | # People | 659,923 | 48 | 1230 | ||
7 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 45 | 1232 | ||
8 | Enrolment in primary edu. | # People | 9,629,078 | 41 | 1232 | ||
9 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 40 | 1235 | ||
10 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 39 | 1233 | ||
11 | Enrolment in secondary edu. | # People | 9,727,510 | 31 | 1234 | ||
12 | # Students per teacher in Primary edu. | Ratio | 260 | 30 | 1235 | ||
13 | # Students per teacher in secondary edu. | Ratio | 57 | 22 | 1232 | ||
14 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 9 | 1231 | ||
15 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 6 | 1234 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
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1 | Dentist (per 10,000) | People per 10000 | 31 | 130 | 1230 | ||
2 | Life Expectancy at Birth, both sexes | Age | 73 | 129 | 1230 | ||
3 | Dentist to doctor ratio | Ratio | 3 | 120 | 1233 | ||
4 | Doctors (Per 10,000) | People Per 10,000 | 20 | 121 | 1231 | ||
5 | HIV Infections (Per 1000) | People Per 1,000 | 0 | 111 | 1233 | ||
6 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 104 | 1233 | ||
7 | #Dentists | # People | 13,328 | 99 | 1232 | ||
8 | Nurses to doctor ratio | Ratio | 46 | 90 | 1231 | ||
9 | Total No. of Doctors | # People | 78,648 | 66 | 1230 | ||
10 | Total No. of Pharmacists | # People | 19,528 | 56 | 1233 | ||
11 | Total Nursing | # People | 163,061 | 43 | 1231 | ||
12 | Nurses(per 10000) | People per 10000 | 164,032 | 43 | 1235 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
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1 | Military Budget/Total World Military Budget %. | Percent | 0 | 99 | 1230 | ||
2 | Military Budget (in Billion $) | $ Billion | 15 | 99 | 1230 | ||
3 | Military Force/Total Pop. % | % People | 1 | 96 | 1233 | ||
4 | Judges Per 100K | People Per 100K | 11 | 83 | 1231 | ||
5 | Military Force/Total World Military Force %. | % People | 0 | 65 | 1234 | ||
6 | Total Military Force | # People | 358,465 | 65 | 1232 | ||
7 | Police Officers | # People | 138,224 | 34 | 1232 | ||
8 | Lawyers Per 100K | People Per 100K | 160 | 29 | 1232 |
Nepal Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Nepali | 46.53 % |
2 | Urdu | 2.71 % |
List of cities having more than 100K population in Nepal
Sr. | City | Total City Population (2023) |
---|---|---|
1 | Bharatpur | 195,052 |
2 | Bhimdatta | 140,812 |
3 | Biratnagar | 270,407 |
4 | Birgunj | 183,571 |
5 | Butwal | 159,684 |
6 | Dhangadhi | 137,249 |
7 | Dharan | 158,232 |
8 | Janakpur | 257,920 |
9 | Kathmandu | 1,324,058 |
10 | Lalitpur | 299,177 |
11 | Pokhara | 349,721 |
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.