LANGUAGES
- Official Language:
- 1. Peruvian Spanish
: 29,000,000
- 2. Spanish
: 28,891,000
Mother Tongue : Peruvian Spanish
Literacy Rate (%) : 94.50
Country Capital | : | Lima |
---|---|---|
GDP Per capita | : | 18,389 |
GDP Per Capita Rank | : | 97th/195 |
Life Expectancy | : | 78 |
Unemployment Rate | : | 4 |
Number of Internet Users | : | 25,417,256 |
Internet Users Rank | : | 37th/195 |
Area | : | 1,280,107 |
Area Rank | : | 19th/195 |
Total Population | : | 34,577 |
Total Population Rank | : | 47th/195 |
Peru Highlights
Peru is the 47th ranked country in population and 19th 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. Peru is the 1st highest ranked in Ashaninka out of 195 countries in the world. This implies that this country has significantly more people speaking Ashaninka when compared to other countries.
- 2. The average Peruvian Spanish of 195 countries in the world is 148,717. Peru is the 1st highest ranked country out of 195 countries. This implies that this country has significantly more people speaking Peruvian Spanish when compared to other countries.
- 3. Out of the 195 countries in the world, Peru is the 1st highest ranked in Quechua . This implies that this country has significantly more people speaking Quechua when compared to other countries.
Worse than World Average-
- 1. Peru is the 89th worst ranked in Enrolment in secondary edu. out of 195 countries in the world. This may take into context a lower country population, or imply that lesser people in this country pursue secondary education when compared to other countries.
- 2. The average GDP Per Capita (USD) of the countries in the world is 30,070. Peru is the 99th 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, Peru is the 114th worst ranked in Soyabean prod. . This is indicative of less focus on the production of soyabean, or scarcity of fertile land, or higher industrialisation as compared to other countries.
Peru Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Ashaninka | # People | 106 | 1 | 1130 | ||
2 | Peruvian Spanish | # People | 148,717 | 1 | 1129 | ||
3 | Quechua | # People | 43,743 | 1 | 1127 | ||
4 | Ashaninka as a % of total Ashaninka speakers | % People | 0 | 1 | 1125 | ||
5 | Peruvian Spanish as a % of total Peruvian Spanish speakers | % People | 0 | 1 | 1126 | ||
6 | Quechua as a % of total Quechua speakers | % People | 0 | 1 | 1129 | ||
7 | Aymara | # People | 11,945 | 2 | 1125 | ||
8 | Aymara as a % of total Aymara speakers | % People | 0 | 2 | 1127 | ||
9 | Spanish | # People | 2,344,008 | 6 | 1130 | ||
10 | Spanish as a % of total Spanish speakers | % People | 0 | 6 | 1128 | ||
Below than World Average- |
|||||||
1 | Standard Chinese as a % of total Standard Chinese speakers | % People | 0 | 15 | 1235 | ||
2 | Standard Chinese | # People | 6,821,357 | 17 | 1235 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Tree density. | Density | 9 | 1 | 1126 | ||
2 | Tree density . | Density | 8 | 1 | 1126 | ||
3 | Copper prod. | Tons | 1,350 | 2 | 1126 | ||
4 | Zinc prod. | Tons | 1,007,000 | 2 | 1127 | ||
5 | Copper Produced /Total Copper Produced % | Weight | 9 | 2 | 1128 | ||
6 | Zinc Produced/Total Zinc Produced %. | Weight | 9 | 2 | 1125 | ||
7 | Silver prod. | Tons | 1,980 | 3 | 1127 | ||
8 | Silver Produced/Total Silver Produced % | Weight | 9 | 3 | 1129 | ||
9 | Forest Area. | Area | 21,142,892 | 9 | 1127 | ||
10 | Country forest area / Global Forest area % | 0 | 9 | 1129 | |||
11 | Potatoes prod. | Tons | 2,538,925 | 13 | 1128 | ||
12 | Number of Trees | Count | 15,642,617,148 | 13 | 1130 | ||
13 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 13 | 1125 | ||
14 | Chicken Meat Production (in tonnes) | Weight | 588,164 | 18 | 1128 | ||
15 | Chicken Meat Production (% of Total Chicken Meat Production) | Percent | 0 | 18 | 1130 | ||
Below than World Average- |
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1 | Soyabean prod. | Tons | 3,684,006 | 82 | 1234 | ||
2 | Wheat prod. | Tons | 6,698,590 | 73 | 1230 | ||
3 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 68 | 1233 | ||
4 | Honey Produced /Total Honey Produced % | Weight | 0 | 71 | 1230 | ||
5 | Goat Meat Production (in tonnes) | Weight | 46,111 | 73 | 1231 | ||
6 | Goat Meat Production (% of Total Goat Meat Production) | Percent | 0 | 66 | 1232 | ||
7 | Honey prod. | Tons | 16,211 | 72 | 1231 | ||
8 | Goat Milk Production (% of Total Goat Milk Production) | Percent | 0 | 56 | 1232 | ||
9 | Goat Milk Production (in tonnes) | Weight | 196,989 | 60 | 1230 | ||
10 | Oil Prod. | Barrels/day | 4,369,531 | 52 | 1235 | ||
11 | Oil Prodcuced/Total Oil Produced % | 5 | 52 | 1233 | |||
12 | Cow Milk Production (% of Total Cow Milk Production) | Percent | 0 | 50 | 1231 | ||
13 | Cow Beef Production (in tonnes) | Weight | 320,761 | 51 | 1234 | ||
14 | Cow Beef Production (% of Total Cow Beef Production) | Percent | 0 | 50 | 1233 | ||
15 | Barley prod. | Tons | 1,576,534 | 50 | 1231 | ||
16 | Barley Produced/Total Barley Produced.% | Weight | 1 | 50 | 1234 | ||
17 | Cow Milk Production (in tonnes) | Weight | 3,855,383 | 50 | 1231 | ||
18 | Apple Production (in tonnes) | Weight | 1,044,287 | 49 | 1233 | ||
19 | Apple Production (% of Total Apple Production) | Percent | 1 | 49 | 1235 | ||
20 | Number of Cows | Count | 8,697,624 | 46 | 1232 | ||
21 | Cows (% of Total Cows) | Percent | 0 | 46 | 1235 | ||
22 | Coal Production (% of Total Coal Production) | Percent | 1 | 42 | 1230 | ||
23 | Cotton Production (in 1000 480 lb. Bales) | Weight | 1,707 | 43 | 1231 | ||
24 | Coal Production (in 1000 metric tons) | Weight | 121,850 | 44 | 1233 | ||
25 | Cotton Production (% of Total Cotton Production) | Percent | 1 | 42 | 1235 | ||
26 | Natural Gas Prod. | Million cubic meters | 216,389 | 38 | 1230 | ||
27 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 38 | 1235 | ||
28 | Onion prod. | Tons | 773,539 | 34 | 1232 | ||
29 | Onion Produced/Total Onion Produced % | Weight | 0 | 34 | 1232 | ||
30 | Sweet Potatoes prod. | Tons | 895,180 | 30 | 1233 | ||
31 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 30 | 1234 | ||
32 | Rice prod. | Tons | 6,981,685 | 22 | 1230 | ||
33 | Rice Produced/Total Rice Produced.% | Weight | 0 | 22 | 1233 | ||
34 | Orange Production (in tonnes) | Weight | 618,959 | 20 | 1231 | ||
35 | Orange Production (% of Total Orange Production) | Percent | 0 | 20 | 1234 | ||
36 | Sugarcane prod. | Tons | 52,039,862 | 19 | 1230 | ||
37 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 18 | 1231 | ||
38 | Iron Production (in 1000 metric tons) | Weight | 33,258 | 12 | 1235 | ||
39 | Iron Production (% of Total Iron Production) | Percent | 2 | 12 | 1231 | ||
40 | Gold Prod. | Weight | 125 | 9 | 1235 | ||
41 | Gold Produced/Total Gold Produced %. | 4 | 9 | 1231 | |||
42 | Mercury prod. | Tons | 564 | 4 | 1230 | ||
43 | Tin prod. | Tons | 23,069 | 4 | 1233 | ||
44 | Mercury Produced/Total Mercury Produced % | Weight | 14 | 4 | 1235 | ||
45 | Tin Produced/Total Tin Produced in 2019 | Weight | 7 | 4 | 1234 |
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | # Cities>10M | # Cities | 0 | 4 | 1128 | ||
2 | # Cities>5M | # Cities | 0 | 9 | 1127 | ||
3 | # Cities>5M | # Cities | 0 | 11 | 1128 | ||
4 | Urban Population (2021) | # People | 23,726,053 | 34 | 1129 | ||
5 | # Cities>300000 | # Cities | 7 | 34 | 1129 | ||
6 | # Cities>300000 | # Cities | 8 | 38 | 1125 | ||
7 | # Cities>100000 | # Cities | 21 | 39 | 1129 | ||
8 | Urban Population / Total Population % . | % People | 60 | 49 | 1125 | ||
9 | Pop. with access to Electricity (%) | % People | 86 | 125 | 1125 | ||
Below than World Average- |
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1 | Rural Pop. /Total Pop. % | % People | 40 | 147 | 1234 | ||
2 | # Cities>1M | # Cities | 2 | 46 | 1232 | ||
3 | # Cities>1M | # Cities | 1 | 39 | 1232 | ||
4 | Rural Pop. | # People | 18,013,759 | 70 | 1232 | ||
5 | # Cities>500000 | # Cities | 5 | 38 | 1230 | ||
6 | # Cities>500000 | # Cities | 4 | 36 | 1235 | ||
7 | # Cities>100000 | # Cities | 23 | 39 | 1233 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Pop./Total Pop.% | % People | 42 | 17 | 1126 | ||
2 | Christian Population | # People | 11,885,917 | 22 | 1128 | ||
3 | Christian Pop./Total Christian Pop.% | % People | 0 | 22 | 1127 | ||
4 | World Heritage Sites | Count | 7 | 24 | 1128 | ||
Below than World Average- |
|||||||
1 | Islamic Population | # People | 9,936,734 | 165 | 1235 | ||
2 | # Olympic Medals | Count | 157 | 85 | 1233 | ||
3 | Total Medals | Count | 12 | 68 | 1232 | ||
4 | Bronze Medal | Count | 4 | 49 | 1233 | ||
5 | Jewish Pop./Total Pop.% | % People | 0 | 58 | 1235 | ||
6 | Jewish Pop./Total Jewish Pop. % | % People | 0 | 46 | 1234 | ||
7 | Jewish Population | # People | 78,295 | 49 | 1232 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | LinkedIn users | # People | 6,388,891 | 21 | 1126 | ||
2 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 21 | 1128 | ||
3 | Facebook users | # People | 6,757,917 | 23 | 1129 | ||
4 | Facebook Users as a % of Total facebook Users | % People | 0 | 23 | 1130 | ||
5 | FB Users / Total Int. Users %. | % People | 31 | 37 | 1125 | ||
6 | LinkedIn Users as a % of Total Internet Users | % People | 35 | 46 | 1130 | ||
7 | LinkedIn Users as a % of Total Population | % People | 31 | 52 | 1129 | ||
8 | FB Users / Total Pop. %. | % People | 25 | 58 | 1128 | ||
9 | Int. Users / Total Pop.% | % People | 70 | 109 | 1130 | ||
Below than World Average- |
|||||||
1 | Facebook CPC in Rs. | Absolute | 5 | 122 | 1230 | ||
2 | Twitter Users as a % of Total Internet Users | % People | 14 | 95 | 1230 | ||
3 | Twitter Users as a % of Total Population | % People | 13 | 92 | 1234 | ||
4 | Internet Users | # People | 28,408,774 | 37 | 1233 | ||
5 | Twitter users | # People | 3,173,740 | 36 | 1230 | ||
6 | Twitter Users as a % of Total Twitter Users | % People | 0 | 36 | 1232 |
Wealth Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Import Ban(Number of products) | Count | 12 | 23 | 1130 | ||
2 | FDI (millions USD) | Amount | 3,115 | 47 | 1126 | ||
3 | FDI / Total FDI of the World %. | 0 | 47 | 1129 | |||
4 | Corporate Tax Rates in % | Rate | 23 | 52 | 1128 | ||
Below than World Average- |
|||||||
1 | Imports /Total GDP of the Country %. | 53 | 144 | 1230 | |||
2 | Exports/Total GDP of the Country %. | 46 | 110 | 1233 | |||
3 | GDP Per Capita (USD) | $ | 30,070 | 97 | 1235 | ||
4 | Import of Goods and Services (in Million $) | Amount | 183,299 | 56 | 1235 | ||
5 | Imports/Total Imports of the World %. | 0 | 56 | 1235 | |||
6 | Export of Goods and Services (in Million $) | Amount | 186,399 | 50 | 1231 | ||
7 | Exports /Total Exports of the World %. | 0 | 50 | 1234 | |||
8 | GDP (Billions USD) 2025 | $ Billions | 613 | 48 | 1233 | ||
9 | GDP as a % of Total GDP | Percent | 0 | 48 | 1232 | ||
10 | No. of Companies Listed in NYSE | Count | 65 | 24 | 1235 |
Media Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Theaters/Total Theaters %. | Percent | 0 | 26 | 1129 | ||
2 | # Phone Numbers /Total Pop. % | Percent | 101 | 60 | 1127 | ||
Below than World Average- |
|||||||
1 | Theaters per 100000 | Ratio | 1 | 43 | 1232 | ||
2 | # Mobile phone numbers | Count | 40,393,496 | 37 | 1231 | ||
3 | # Theaters | Count | 310 | 26 | 1232 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total Labour Force/Total Pop. | % People | 43 | 34 | 1130 | ||
2 | Employment in Services | # People | 10,251,634 | 35 | 1126 | ||
3 | Employment in Agriculture /Total Pop. %. | % People | 9 | 52 | 1130 | ||
4 | Employment in Services /Total pop.%. | % People | 25 | 60 | 1128 | ||
5 | Employment in Agri. / Total Labour Force % . | % People | 23 | 75 | 1129 | ||
6 | Employment in Agriculture/Total Labour force %. | % People | 23 | 75 | 1126 | ||
7 | Employment in Services / Total Labour Force %. | % People | 56 | 87 | 1126 | ||
8 | Employment in services/Total Labour force %. | % People | 56 | 87 | 1126 | ||
Below than World Average- |
|||||||
1 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 119 | 1231 | ||
2 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 103 | 1234 | ||
3 | Unemployment Rate. | % People | 7 | 71 | 1234 | ||
4 | Non-Agricultural Labour Force | # People | 15,067,127 | 35 | 1233 | ||
5 | Total Labour Force (2021) | # People | 20,409,734 | 34 | 1234 | ||
6 | Employment in Agriculture | # People | 5,314,003 | 33 | 1234 | ||
7 | Formal Jobs | # People | 10,605,934 | 33 | 1231 | ||
8 | Unemployed Labour Force. | # People | 1,511,199 | 32 | 1230 | ||
9 | Labour Force Participation | # People | 14,659,929 | 28 | 1233 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Life Expectancy at Birth, both sexes | Age | 73 | 50 | 1129 | ||
2 | No. of people HIV infected/Total pop. | # People | 5,202 | 35 | 1130 | ||
Below than World Average- |
|||||||
1 | Dentist (per 10,000) | People per 10000 | 31 | 166 | 1232 | ||
2 | Total No. of Pharmacists | # People | 19,528 | 57 | 1234 | ||
3 | Total No. of Doctors | # People | 78,648 | 43 | 1234 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Population Growth Rate (%) | % People | 0 | 91 | 1127 | ||
Below than World Average- |
|||||||
1 | Female % of Total Pop. | % People | 50 | 83 | 1232 | ||
2 | Male % of Total Pop. | % People | 50 | 39 | 1233 | ||
3 | Births | # People (In Thousands) | 681 | 53 | 1233 | ||
4 | Male Population (2025) | # People (In Thousands) | 21,226 | 48 | 1230 | ||
5 | Total Population (2025) | # People (In Thousands) | 42,003 | 47 | 1233 | ||
6 | Female Population (2025) | # People (In Thousands) | 20,993 | 46 | 1231 |
Education Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Literacy Rate (%) | % People | 86 | 105 | 1128 | ||
Below than World Average- |
|||||||
1 | # Students per teacher in secondary edu. | Ratio | 31 | 1 | 1232 | ||
2 | Enrolment in secondary edu. | # People | 4,946,299 | 107 | 1231 | ||
3 | # Students per teacher in tertiary edu. | Ratio | 32 | 1 | 1234 | ||
4 | Teachers as a % of Enrolment | % People | 41 | 85 | 1230 | ||
5 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 84 | 1231 | ||
6 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 81 | 1230 | ||
7 | Enrolment in primary edu. | # People | 5,059,423 | 80 | 1234 | ||
8 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 77 | 1232 | ||
9 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 70 | 1230 | ||
10 | # Students per teacher in Primary edu. | Ratio | 260 | 53 | 1233 | ||
11 | Total Literate Pop. | # People | 34,678,001 | 41 | 1230 | ||
12 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 35 | 1233 | ||
13 | Teachers in secondary edu. | # People | 659,923 | 32 | 1231 | ||
14 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,858,694 | 31 | 1235 | ||
15 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 24 | 1230 | ||
16 | Teachers in tertiary edu. | # People | 297,976 | 20 | 1230 | ||
17 | Teachers in primary edu. | # People | 88,812 | 9 | 1230 | ||
18 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 8 | 1234 | ||
19 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 8 | 1231 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Below than World Average- |
|||||||
1 | Military Budget/Total World Military Budget %. | Percent | 0 | 57 | 1234 | ||
2 | Military Budget (in Billion $) | $ Billion | 15 | 58 | 1232 | ||
3 | Military Force/Total Pop. % | % People | 1 | 51 | 1230 | ||
4 | Total Military Force | # People | 358,465 | 32 | 1230 | ||
5 | Military Force/Total World Military Force %. | % People | 0 | 32 | 1233 | ||
6 | Police Officers | # People | 138,224 | 27 | 1231 |
Peru Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Standard Chinese | 0.3 % |
List of cities having more than 100K population in Peru
Sr. | City | Total City Population (2023) |
---|---|---|
1 | Arequipa | 944,463 |
2 | Ayacucho | 198,149 |
3 | Cajamarca | 251,211 |
4 | Chiclayo | 652,352 |
5 | Chimbote | 402,648 |
6 | Chincha Alta | 193,521 |
7 | Cuzco | 467,334 |
8 | Huancayo | 396,513 |
9 | Huánuco | 190,722 |
10 | Huaraz | 140,136 |
11 | Ica | 265,634 |
12 | Iquitos | 475,837 |
13 | Juliaca | 302,228 |
14 | Lima | 10,805,626 |
15 | Pisco | 112,905 |
16 | Piura | 479,389 |
17 | Pucallpa | 227,855 |
18 | Puno | 153,912 |
19 | Sullana | 218,491 |
20 | Tacna | 320,203 |
21 | Tarapoto | 158,541 |
22 | Trujillo | 872,673 |
23 | Tumbes | 121,408 |
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.