Brazil Analytics
LANGUAGES
- Official Language:
- 1. Portuguese
: 201,706,000
- 2. German
: 1,082,000
Mother Tongue : Portuguese
Literacy Rate (%) : 93
Country Capital | : | Brasilia |
---|---|---|
GDP Per capita | : | 22,928 |
GDP Per Capita Rank | : | 81st/195 |
Life Expectancy | : | 76 |
Unemployment Rate | : | 7 |
Number of Internet Users | : | 178,039,906 |
Internet Users Rank | : | 5th/195 |
Area | : | 8,358,079 |
Area Rank | : | 5th/195 |
Total Population | : | 212,812 |
Total Population Rank | : | 7th/195 |
Brazil Highlights
Brazil is the 7th ranked country in population and 5th 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. Brazil is the 1st highest ranked in Sugarcane prod. out of 195 countries in the world. This is indicative of a more fertile land, suitable for producing high quantities of sugarcane, or the country being a large exporter of sugar as compared to other countries.
- 2. The average Soyabean prod. of 195 countries in the world is 3,684,006. Brazil is the 1st highest ranked country out of 195 countries. This is indicative of a more fertile land, suitable for producing high quantities of soyabean when compared to other countries.
- 3. Out of the 195 countries in the world, Brazil is the 3rd highest ranked in Facebook users . This may take into context a higher country population, or may simply imply that this country has more social media popularity, or may have a higher youth demographic.
Worse than World Average-
- 1. Brazil is the 115th worst ranked in GDP Per Capita (USD) out of 195 countries in the world. This implies that this country is a developing country.
- 2. The average Pharmacists (Per 10,000) of the countries in the world is 4. Brazil is the 118th worst-ranked country out of 195 countries. This may indicate worse healthcare infrastructure investment by the country or may indicate lower population.
- 3. Out of the 195 countries in the world, Brazil is the 152nd worst ranked in HIV Infections (Per 1000) . This may indicate a better healthcare infrastructure in the country or better health awareness among the people compared to other countries.
Brazil Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Portuguese | # People | 1,184,692 | 1 | 1128 | ||
2 | Portuguese as a % of total Portuguese speakers | % People | 0 | 1 | 1126 | ||
3 | Ashaninka | # People | 106 | 2 | 1126 | ||
4 | Ashaninka as a % of total Ashaninka speakers | % People | 0 | 2 | 1129 | ||
5 | Quechua | # People | 43,743 | 4 | 1125 | ||
6 | Quechua as a % of total Quechua speakers | % People | 0 | 4 | 1126 | ||
7 | Italian | # People | 315,853 | 5 | 1129 | ||
8 | Italian as a % of total Italian speakers | % People | 0 | 5 | 1129 | ||
9 | German | # People | 498,994 | 6 | 1129 | ||
10 | German as a % of total German speakers | % People | 0 | 6 | 1126 | ||
Below than World Average- |
|||||||
1 | Japanese | # People | 638,456 | 3 | 1234 |
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Pop. with access to Electricity (%) | % People | 86 | 1 | 1126 | ||
2 | # Cities>100000 | # Cities | 21 | 2 | 1130 | ||
3 | # Cities>10M | # Cities | 0 | 2 | 1129 | ||
4 | # Cities>100000 | # Cities | 23 | 3 | 1126 | ||
5 | # Cities>300000 | # Cities | 8 | 3 | 1126 | ||
6 | # Cities>500000 | # Cities | 5 | 3 | 1128 | ||
7 | # Cities>1M | # Cities | 2 | 3 | 1125 | ||
8 | # Cities>5M | # Cities | 0 | 3 | 1128 | ||
9 | # Cities>300000 | # Cities | 7 | 3 | 1127 | ||
10 | # Cities>500000 | # Cities | 4 | 3 | 1128 | ||
11 | # Cities>5M | # Cities | 0 | 3 | 1129 | ||
12 | Urban Population | # People | 23,726,053 | 4 | 1128 | ||
13 | # Cities>10M | # Cities | 0 | 4 | 1129 | ||
14 | # Cities>1M | # Cities | 1 | 4 | 1130 | ||
15 | 10M+ Cities Ratio ( 10M+ Cities/ # Cities> 100000) | 0 | 11 | 1128 | |||
16 | 1M+ Cities per 100000 ( 1M+ Cities/ Tot Pop.)* 100000 | 0 | 20 | 1129 | |||
17 | Rural Pop. | # People | 18,013,759 | 22 | 1126 | ||
18 | Urban Population / Total Population % . | % People | 60 | 25 | 1127 | ||
Below than World Average- |
|||||||
1 | Rural Pop. /Total Pop. % | % People | 40 | 169 | 1235 | ||
2 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 88 | 1230 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Sugarcane prod. | Tons | 52,039,862 | 1 | 1127 | ||
2 | Soyabean prod. | Tons | 3,684,006 | 1 | 1126 | ||
3 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 1 | 1130 | ||
4 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 1 | 1130 | ||
5 | Forest Area. | Area | 21,142,892 | 2 | 1126 | ||
6 | Country forest area / Global Forest area % | 0 | 2 | 1126 | |||
7 | Number of Trees | Count | 15,642,617,148 | 3 | 1128 | ||
8 | Bauxite prod. | Tons | 29,969 | 4 | 1128 | ||
9 | Bauxite Produced/Total Bauxite Produced % | Weight | 7 | 4 | 1126 | ||
10 | Honey prod. | Tons | 16,211 | 10 | 1127 | ||
11 | Honey Produced /Total Honey Produced % | Weight | 0 | 10 | 1125 | ||
12 | Rice prod. | Tons | 6,981,685 | 11 | 1125 | ||
13 | Onion prod. | Tons | 773,539 | 11 | 1126 | ||
14 | Rice Produced/Total Rice Produced.% | Weight | 0 | 11 | 1127 | ||
15 | Onion Produced/Total Onion Produced % | Weight | 0 | 11 | 1129 | ||
16 | Wheat prod. | Tons | 6,698,590 | 17 | 1125 | ||
17 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 17 | 1129 | ||
18 | Potatoes prod. | Tons | 2,538,925 | 18 | 1130 | ||
19 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 18 | 1128 | ||
20 | Tree density . | Density | 828 | 27 | 1127 | ||
21 | Tree density. | Density | 22,685 | 58 | 1128 | ||
Below than World Average- |
|||||||
1 | Nickel Produced/Total Nickel Produced % | Weight | 14 | 7 | 1230 | ||
2 | Lithium Produced/Total Lithium Produced % | Weight | 12 | 5 | 1231 | ||
3 | Gold Produced/Total Gold Produced %. | 4 | 14 | 1233 | |||
4 | Uranium Produced/Total Uranium Produced % | Weight | 5 | 13 | 1234 | ||
5 | Tin Produced/Total Tin Produced in 2019 | Weight | 7 | 5 | 1232 | ||
6 | Flourite Produced/Total Flourite Produced % | Weight | 4 | 10 | 1231 | ||
7 | Barley Produced/Total Barley Produced.% | Weight | 1 | 37 | 1235 | ||
8 | Barley prod. | Tons | 1,576,534 | 38 | 1234 | ||
9 | Natural Gas Prod. | Million cubic meters | 216,389 | 29 | 1233 | ||
10 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 29 | 1230 | ||
11 | Gold Prod. | Weight | 125 | 14 | 1233 | ||
12 | Sweet Potatoes prod. | Tons | 895,180 | 15 | 1232 | ||
13 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 15 | 1235 | ||
14 | Uranium prod. | Tons | 2,516 | 13 | 1235 | ||
15 | Flourite prod. | Tons | 231,501 | 10 | 1233 | ||
16 | Oil Prod. | Barrels/day | 4,369,531 | 8 | 1234 | ||
17 | Oil Prodcuced/Total Oil Produced % | 5 | 8 | 1235 | |||
18 | Nickel prod. | Tons | 376,142 | 7 | 1232 | ||
19 | Tin prod. | Tons | 23,069 | 5 | 1235 | ||
20 | Lithium prod. | Tons | 16,162 | 5 | 1233 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Population | # People | 11,885,917 | 2 | 1125 | ||
2 | Jewish Population | # People | 78,295 | 10 | 1128 | ||
3 | Silver Medal | Count | 3 | 10 | 1130 | ||
4 | Bronze Medal | Count | 4 | 10 | 1127 | ||
5 | Total Medals | Count | 12 | 12 | 1125 | ||
6 | World Heritage Sites | Count | 7 | 13 | 1127 | ||
7 | # Olympic Medals | Count | 157 | 27 | 1127 | ||
Below than World Average- |
|||||||
1 | Islamic Population | # People | 9,936,734 | 87 | 1232 | ||
2 | Gold Medal | Count | 3 | 20 | 1235 |
--- Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Pop./Total Christian Pop.% | % People | 0 | 2 | 1129 | ||
2 | Jewish Pop./Total Jewish Pop. % | % People | 0 | 10 | 1127 | ||
3 | Christian Pop./Total Pop.% | % People | 42 | 40 | 1126 | ||
Below than World Average- |
|||||||
1 | Islamic Pop./Total Pop.% | % People | 22 | 151 | 1234 | ||
2 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 82 | 1230 | ||
3 | Jewish Pop./Total Pop.% | % People | 0 | 36 | 1235 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Facebook users | # People | 7,174,483 | 3 | 1125 | ||
2 | LinkedIn users | # People | 6,064,509 | 3 | 1127 | ||
3 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 3 | 1126 | ||
4 | Facebook Users as a % of Total facebook Users | % People | 0 | 3 | 1130 | ||
5 | Internet Users | # People | 28,408,774 | 5 | 1125 | ||
6 | Twitter users | # People | 3,179,254 | 7 | 1125 | ||
7 | Twitter Users as a % of Total Twitter Users | % People | 0 | 7 | 1127 | ||
8 | LinkedIn Users as a % of Total Internet Users | % People | 33 | 45 | 1125 | ||
9 | LinkedIn Users as a % of Total Population | % People | 30 | 46 | 1127 | ||
10 | FB Users / Total Int. Users %. | % People | 33 | 49 | 1130 | ||
11 | FB Users / Total Pop. %. | % People | 26 | 59 | 1126 | ||
12 | Int. Users / Total Pop.% | % People | 70 | 77 | 1126 | ||
Below than World Average- |
|||||||
1 | Facebook CPC in Rs. | Absolute | 5 | 150 | 1231 | ||
2 | Twitter Users as a % of Total Internet Users | % People | 15 | 84 | 1234 | ||
3 | Twitter Users as a % of Total Population | % People | 14 | 83 | 1234 |
Wealth Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | FDI (millions USD) | Amount | 3,115 | 3 | 1128 | ||
2 | FDI / Total FDI of the World %. | 0 | 3 | 1130 | |||
3 | GDP (Billions USD) | $ Billions | 613 | 10 | 1126 | ||
4 | Corporate Tax Rates in % | Rate | 23 | 10 | 1130 | ||
5 | GDP as a % of Total GDP | Percent | 0 | 10 | 1126 | ||
6 | Import Ban(Number of products) | Count | 12 | 14 | 1125 | ||
7 | Export of Goods and Services (in Million $) | Amount | 186,399 | 22 | 1129 | ||
8 | Exports /Total Exports of the World %. | 0 | 22 | 1125 | |||
9 | Import of Goods and Services (in Million $) | Amount | 183,299 | 23 | 1130 | ||
10 | Imports/Total Imports of the World %. | 0 | 23 | 1130 | |||
Below than World Average- |
|||||||
1 | Imports /Total GDP of the Country %. | 53 | 161 | 1234 | |||
2 | Exports/Total GDP of the Country %. | 46 | 139 | 1232 | |||
3 | GDP Per Capita (USD) | $ | 30,070 | 81 | 1233 | ||
4 | No. of Companies Listed in NYSE | Count | 65 | 5 | 1235 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Lawyers Per 100K | People Per 100K | 160 | 3 | 1130 | ||
2 | Total Military Force | # People | 358,465 | 8 | 1129 | ||
3 | Military Force/Total World Military Force %. | % People | 0 | 8 | 1128 | ||
4 | Police Officers | # People | 138,224 | 9 | 1128 | ||
5 | Military Budget (in Billion $) | $ Billion | 15 | 20 | 1130 | ||
6 | Military Budget/Total World Military Budget %. | Percent | 0 | 20 | 1127 | ||
Below than World Average- |
|||||||
1 | Military Force/Total Pop. % | % People | 1 | 53 | 1235 |
Education Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 4 | 1128 | ||
2 | Enrolment in secondary edu. | # People | 9,727,510 | 5 | 1127 | ||
3 | Teachers in secondary edu. | # People | 659,923 | 5 | 1128 | ||
4 | Total Literate Pop. | # People | 34,678,001 | 5 | 1128 | ||
5 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 5 | 1130 | ||
6 | Teachers in tertiary edu. | # People | 297,976 | 6 | 1125 | ||
7 | Enrolment in primary edu. | # People | 9,629,078 | 10 | 1125 | ||
8 | Literacy Rate (%) | % People | 86 | 113 | 1127 | ||
Below than World Average- |
|||||||
1 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 134 | 1233 | ||
2 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 131 | 1231 | ||
3 | # Students per teacher in Primary edu. | Ratio | 260 | 110 | 1232 | ||
4 | # Students per teacher in secondary edu. | Ratio | 57 | 73 | 1233 | ||
5 | Teachers as a % of Enrolment | % People | 41 | 69 | 1231 | ||
6 | # Students per teacher in tertiary edu. | Ratio | 58 | 40 | 1231 | ||
7 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 38 | 1231 | ||
8 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 35 | 1233 | ||
9 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 31 | 1235 | ||
10 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 25 | 1230 | ||
11 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 5 | 1232 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total Nursing | # People | 163,061 | 4 | 1127 | ||
2 | #Dentists | # People | 13,328 | 4 | 1126 | ||
3 | Nurses(per 10000) | People per 10000 | 164,032 | 4 | 1127 | ||
4 | Total No. of Doctors | # People | 78,648 | 5 | 1125 | ||
5 | Total No. of Pharmacists | # People | 19,528 | 6 | 1125 | ||
6 | Nurses to doctor ratio | Ratio | 46 | 20 | 1129 | ||
7 | Dentist to doctor ratio | Ratio | 3 | 22 | 1130 | ||
8 | Life Expectancy at Birth, both sexes | Age | 73 | 78 | 1125 | ||
9 | Doctors (Per 10,000) | People Per 10,000 | 20 | 88 | 1125 | ||
10 | No. of people HIV infected/Total pop. | # People | 5,202 | 5 | 1129 | ||
Below than World Average- |
|||||||
1 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 78 | 1232 | ||
2 | Dentist (per 10,000) | People per 10000 | 31 | 62 | 1231 | ||
3 | HIV Infections (Per 1000) | People Per 1,000 | 0 | 41 | 1230 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Employment in Services | # People | 10,251,634 | 4 | 1130 | ||
2 | Unemployed Labour Force. | # People | 1,511,199 | 4 | 1128 | ||
3 | Formal Jobs | # People | 10,605,934 | 4 | 1129 | ||
4 | Teachers in primary edu. | # People | 357,113 | 5 | 1128 | ||
5 | Labour Force Participation | # People | 14,659,929 | 5 | 1130 | ||
6 | Non-Agricultural Labour Force | # People | 15,067,127 | 5 | 1125 | ||
7 | Total Labour Force (2023) | # People | 20,409,734 | 6 | 1127 | ||
8 | Employment in Agriculture | # People | 5,314,003 | 17 | 1130 | ||
9 | Unemployment Rate. | % People | 7 | 30 | 1125 | ||
10 | Employment in services/Total Labour force %. | % People | 56 | 36 | 1125 | ||
11 | Employment in Services / Total Labour Force %. | % People | 56 | 41 | 1128 | ||
12 | Employment in Services /Total pop.%. | % People | 25 | 44 | 1126 | ||
13 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 57 | 1129 | ||
14 | Total Labour Force/Total Pop. | % People | 43 | 70 | 1125 | ||
15 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 77 | 1127 | ||
Below than World Average- |
|||||||
1 | Employment in Agri. / Total Labour Force % . | % People | 23 | 120 | 1234 | ||
2 | Employment in Agriculture/Total Labour force %. | % People | 23 | 120 | 1232 | ||
3 | Employment in Agriculture /Total Pop. %. | % People | 9 | 110 | 1234 |
Media Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | # Mobile phone numbers | Count | 40,393,496 | 5 | 1125 | ||
2 | # Theaters | Count | 310 | 6 | 1126 | ||
3 | Theaters/Total Theaters %. | Percent | 0 | 6 | 1126 | ||
4 | # Phone Numbers /Total Pop. % | Percent | 101 | 87 | 1126 | ||
Below than World Average- |
|||||||
1 | Theaters per 100000 | Ratio | 1 | 40 | 1232 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total Population (2025) | # People (In Thousands) | 42,003 | 7 | 1127 | ||
2 | Male Population (2025) | # People (In Thousands) | 21,226 | 7 | 1128 | ||
3 | Female Population (2025) | # People (In Thousands) | 20,993 | 7 | 1128 | ||
4 | Births | # People (In Thousands) | 681 | 10 | 1128 | ||
5 | Female % of Total Pop. | % People | 50 | 60 | 1128 | ||
6 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 1 | 61 | 1130 | ||
7 | Total Deaths | # People (In Thousands) | 319 | 9 | 1129 | ||
Below than World Average- |
|||||||
1 | Density ( Pop/Land Area Ratio) | Density | 312 | 161 | 1230 | ||
2 | Population Growth Rate (%) | % People | 0 | 138 | 1235 | ||
3 | Male % of Total Pop. | % People | 50 | 135 | 1230 |
Brazil Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Portuguese | 94.78 % |
2 | German | 0.51 % |
3 | Italian | 0.3 % |
4 | Japanese | 0.2 % |
5 | Quechua | 0.1 % |
List of cities having more than 100K population in Brazil
Sr. | City | Total City Population (2023) |
---|---|---|
1 | Abaetetuba | 164,993 |
2 | Abreu e Lima | 104,081 |
3 | Açailândia | 117,363 |
4 | Aguas Lindas de Goiás | 225,802 |
5 | Alagoinhas | 158,041 |
6 | Almirante Tamandaré | 124,523 |
7 | Altamira | 120,269 |
8 | Alvorada | 219,265 |
9 | Americana | 251,122 |
10 | Ananindeua | 555,685 |
11 | Anápolis | 406,465 |
12 | Angra dos Reis | 214,803 |
13 | Aparecida de Goiania | 612,343 |
14 | Apucarana | 141,334 |
15 | Aracaju | 689,963 |
16 | Araçatuba | 203,492 |
17 | Aracruz | 108,854 |
18 | Araguaina | 190,209 |
19 | Araguari | 121,306 |
20 | Arapiraca | 241,783 |
21 | Arapongas | 129,504 |
22 | Araraquara | 247,283 |
23 | Araras | 138,532 |
24 | Araruama | 139,259 |
25 | Araucária | 151,711 |
26 | Araxá | 111,345 |
27 | Ariquemes | 113,628 |
28 | Assis | 108,958 |
29 | Atibaia | 149,428 |
30 | Bacabal | 108,543 |
31 | Bagé | 125,872 |
32 | Balneário Camboriú | 151,192 |
33 | Barbacena | 143,409 |
34 | Barcarena | 131,787 |
35 | Barra do Piraí | 104,496 |
36 | Barra Mansa | 191,766 |
37 | Barreiras | 162,814 |
38 | Barretos | 127,429 |
39 | Barueri | 287,338 |
40 | Bauru | 393,494 |
41 | Belém | 1,556,127 |
42 | Belford Roxo | 532,441 |
43 | Belo Horizonte | 2,824,085 |
44 | Bento Gonçalves | 126,391 |
45 | Betim | 461,463 |
46 | Birigui | 129,504 |
47 | Blumenau | 375,438 |
48 | Boa Vista | 435,417 |
49 | Botucatu | 153,683 |
50 | Bragança | 133,759 |
51 | Bragança Paulista | 182,115 |
52 | Brasilia | 3,153,968 |
53 | Breves | 107,298 |
54 | Brusque | 142,787 |
55 | Cabo de Santo Agostinho | 216,774 |
56 | Cabo Frio | 238,981 |
57 | Cachoeirinha | 136,146 |
58 | Cachoeiro de Itapemirim | 218,435 |
59 | Caieiras | 106,571 |
60 | Camacari | 315,770 |
61 | Camaragibe | 164,786 |
62 | Cambé | 111,345 |
63 | Cametá | 144,551 |
64 | Campina Grande | 427,323 |
65 | Campinas | 1,259,450 |
66 | Campo Grande | 940,151 |
67 | Campo Largo | 138,844 |
68 | Campos dos Goytacazes | 530,366 |
69 | Canoas | 361,325 |
70 | Caraguatatuba | 127,948 |
71 | Carapicuíba | 418,295 |
72 | Cariacica | 398,371 |
73 | Caruaru | 378,966 |
74 | Cascavel | 344,826 |
75 | Castanhal | 210,860 |
76 | Catalão | 115,080 |
77 | Catanduva | 127,014 |
78 | Caucaia | 378,966 |
79 | Caxias | 171,738 |
80 | Caxias do Sul | 536,903 |
81 | Chapecó | 232,444 |
82 | Codo | 127,740 |
83 | Colatina | 128,051 |
84 | Colombo | 255,792 |
85 | Conselheiro Lafaiete | 134,485 |
86 | Contagem | 694,114 |
87 | Coronel Fabriciano | 114,354 |
88 | Corumbá | 116,222 |
89 | Cotia | 263,159 |
90 | Crato | 138,013 |
91 | Criciúma | 225,491 |
92 | Cubatao | 136,561 |
93 | Cuiabá | 641,399 |
94 | Curitiba | 2,022,051 |
95 | Diadema | 442,784 |
96 | Divinópolis | 249,462 |
97 | Dourados | 233,896 |
98 | Duque de Caxias | 959,452 |
99 | Embu | 286,923 |
100 | Erechim | 110,618 |
101 | Eunápolis | 118,608 |
102 | Fazenda Rio Grande | 105,845 |
103 | Feira de Santana | 642,955 |
104 | Ferraz de Vasconcelos | 203,907 |
105 | Florianópolis | 527,979 |
106 | Formosa | 128,259 |
107 | Fortaleza | 2,805,199 |
108 | Foz do Iguaçu | 267,933 |
109 | Franca | 369,315 |
110 | Francisco Morato | 182,219 |
111 | Franco da Rocha | 162,295 |
112 | Garanhuns | 145,796 |
113 | Goiânia | 1,593,899 |
114 | Governador Valadares | 291,592 |
115 | Gravatai | 294,290 |
116 | Guarapari | 131,476 |
117 | Guarapuava | 189,483 |
118 | Guaratinguetá | 127,118 |
119 | Guarujá | 334,864 |
120 | Guarulhos | 1,444,574 |
121 | Hortolandia | 230,472 |
122 | Ibirité | 188,964 |
123 | Igarassu | 122,759 |
124 | Iguatu | 106,883 |
125 | Ilhéus | 165,927 |
126 | Imperatriz | 269,074 |
127 | Indaiatuba | 265,857 |
128 | Ipatinga | 275,404 |
129 | Itabira | 125,457 |
130 | Itaboraí | 251,641 |
131 | Itabuna | 221,652 |
132 | Itaguaí | 125,457 |
133 | Itajaí | 216,878 |
134 | Itapecerica da Serra | 175,474 |
135 | Itapetininga | 164,578 |
136 | Itapevi | 235,038 |
137 | Itapipoca | 130,957 |
138 | Itaquaquecetuba | 370,249 |
139 | Itatiba | 119,231 |
140 | Itu | 174,955 |
141 | Ituiutaba | 107,816 |
142 | Itumbiara | 105,326 |
143 | Jaboatao dos Guararapes | 717,151 |
144 | Jacareí | 236,802 |
145 | Jandira | 124,731 |
146 | Japeri | 104,392 |
147 | Jaraguá do Sul | 173,606 |
148 | Jaú | 150,258 |
149 | Jequié | 168,003 |
150 | Ji-Paraná | 136,561 |
151 | Joao Pessoa | 831,920 |
152 | Joinville | 591,382 |
153 | Juazeiro | 228,604 |
154 | Juàzeiro do Norte | 278,310 |
155 | Juiz de Fora | 580,694 |
156 | Jundiaí | 420,993 |
157 | Lagarto | 107,090 |
158 | Lages | 164,578 |
159 | Lauro de Freitas | 201,935 |
160 | Lavras | 105,015 |
161 | Leme | 104,081 |
162 | Limeira | 309,959 |
163 | Linhares | 172,776 |
164 | Londrina | 574,260 |
165 | Luziânia | 204,322 |
166 | Macae | 248,528 |
167 | Macapá | 483,047 |
168 | Maceió | 1,060,212 |
169 | Magé | 245,207 |
170 | Manaus | 2,173,347 |
171 | Maraba | 276,961 |
172 | Maracanau | 231,613 |
173 | Maranguape | 129,816 |
174 | Maricá | 155,550 |
175 | Marília | 242,405 |
176 | Maringá | 418,295 |
177 | Marituba | 130,127 |
178 | Mauá | 474,953 |
179 | Mesquita | 177,446 |
180 | Moji das Cruzes | 445,482 |
181 | Moji-Guaçu | 153,890 |
182 | Montes Claros | 413,314 |
183 | Mossoró | 302,903 |
184 | Muriaé | 111,967 |
185 | Natal | 910,784 |
186 | Nilópolis | 164,267 |
187 | Niterói | 516,668 |
188 | Nossa Senhora do Socorro | 186,474 |
189 | Nova Friburgo | 192,077 |
190 | Nova Iguaçu | 827,458 |
191 | Novo Gama | 112,486 |
192 | Nôvo Hamburgo | 258,490 |
193 | Olinda | 404,805 |
194 | Osasco | 722,650 |
195 | Ourinhos | 115,288 |
196 | Paço do Lumiar | 124,420 |
197 | Palhoça | 167,484 |
198 | Palmas | 290,451 |
199 | Paragominas | 112,590 |
200 | Paranaguá | 157,522 |
201 | Parauapebas | 203,699 |
202 | Parintins | 116,948 |
203 | Parnaíba | 155,862 |
204 | Parnamirim | 257,971 |
205 | Passo Fundo | 205,256 |
206 | Passos | 118,090 |
207 | Patos | 111,137 |
208 | Patos de Minas | 155,550 |
209 | Paulínia | 103,873 |
210 | Paulista | 337,873 |
211 | Paulo Afonso | 124,420 |
212 | Pelotas | 356,656 |
213 | Petrolina | 350,429 |
214 | Petrópolis | 309,440 |
215 | Pindamonhangaba | 168,418 |
216 | Pinhais | 133,136 |
217 | Piracicaba | 409,267 |
218 | Piraquara | 110,099 |
219 | Poà | 119,024 |
220 | Poços de Caldas | 171,116 |
221 | Ponta Grossa | 353,958 |
222 | Porto Alegre | 1,536,825 |
223 | Porto Seguro | 152,956 |
224 | Porto Velho | 530,469 |
225 | Pouso Alegre | 150,985 |
226 | Praia Grande | 316,185 |
227 | Presidente Prudente | 232,132 |
228 | Queimados | 149,947 |
229 | Recife | 1,686,876 |
230 | Resende | 130,853 |
231 | Ribeirao das Neves | 338,081 |
232 | Ribeirao Pires | 125,665 |
233 | Ribeirao Prêto | 699,821 |
234 | Rio Branco | 391,315 |
235 | Rio Claro | 209,095 |
236 | Rio das Ostras | 141,749 |
237 | Rio de Janeiro | 6,743,768 |
238 | Rio Grande | 216,463 |
239 | Rio Verde | 220,199 |
240 | Rondonópolis | 227,151 |
241 | Sabára | 140,296 |
242 | Salto | 119,542 |
243 | Salvador | 3,048,850 |
244 | Santa Bárbara D'Oeste | 198,200 |
245 | Santa Cruz do Capibaribe | 107,609 |
246 | Santa Cruz do Sul | 131,580 |
247 | Santa Luzia | 225,802 |
248 | Santa Maria | 287,753 |
249 | Santa Rita | 141,023 |
250 | Santana | 118,193 |
251 | Santana de Parnaíba | 134,174 |
252 | Santarém | 305,601 |
253 | Santo André | 739,565 |
254 | Santo Antônio de Jesus | 106,364 |
255 | Santos | 450,774 |
256 | Sao Bernardo do Campo | 853,192 |
257 | Sao Caetano do Sul | 164,786 |
258 | Sao Carlo | 252,990 |
259 | São Gonçalo | 1,083,457 |
260 | Sao Joao de Meriti | 477,858 |
261 | Sao José | 244,896 |
262 | Sao José de Ribamar | 182,634 |
263 | Sao José do Rio Prêto | 463,538 |
264 | Sao José dos Campos | 722,235 |
265 | Sao José dos Pinhais | 314,214 |
266 | Sao Leopoldo | 238,358 |
267 | São Lourenço da Mata | 115,392 |
268 | Sao Luís | 1,123,719 |
269 | São Mateus | 131,165 |
270 | Sao Paulo | 12,491,973 |
271 | Sao Vicente | 371,495 |
272 | Sapucaia do Sul | 144,136 |
273 | Senador Canedo | 106,779 |
274 | Serra | 512,725 |
275 | Sertãozinho | 125,976 |
276 | Sete Lagoas | 243,028 |
277 | Simoes Filho | 139,777 |
278 | Sinop | 137,910 |
279 | Sobral | 211,378 |
280 | Sorocaba | 677,096 |
281 | Sumaré | 279,659 |
282 | Suzano | 298,960 |
283 | Taboao da Serra | 286,300 |
284 | Tailândia | 104,081 |
285 | Tatuí | 122,240 |
286 | Taubaté | 316,704 |
287 | Teixeira de Freitas | 165,824 |
288 | Teófilo Otoni | 146,834 |
289 | Teresina | 879,342 |
290 | Teresópolis | 181,181 |
291 | Timon | 172,569 |
292 | Toledo | 138,844 |
293 | Três Lagoas | 119,957 |
294 | Trindade | 123,901 |
295 | Tubarão | 107,609 |
296 | Tucuruí | 113,005 |
297 | Ubá | 116,429 |
298 | Uberaba | 337,562 |
299 | Uberlândia | 694,944 |
300 | Umuarama | 113,212 |
301 | Uruguaiana | 134,589 |
302 | Valinhos | 126,806 |
303 | Valparaíso de Goiás | 162,295 |
304 | Varginha | 138,428 |
305 | Varzea Grande | 281,526 |
306 | Varzea Paulista | 122,240 |
307 | Vespasiano | 125,042 |
308 | Viamao | 262,433 |
309 | Vila Velha | 497,782 |
310 | Vitória | 373,155 |
311 | Vitória da Conquista | 359,146 |
312 | Vitória de Santo Antao | 141,853 |
313 | Volta Redonda | 273,640 |
314 | Votorantim | 123,382 |
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.