Mexico Analytics
LANGUAGES
- Official Language:
- 1. Spanish
: 115,610,000
- 2. Standard Chinese
: 30,849
Mother Tongue : Spanish
Literacy Rate (%) : 95
Country Capital | : | Mexico City |
---|---|---|
GDP Per capita | : | 25,557 |
GDP Per Capita Rank | : | 76th/195 |
Life Expectancy | : | 75 |
Unemployment Rate | : | 2 |
Number of Internet Users | : | 105,784,358 |
Internet Users Rank | : | 7th/195 |
Area | : | 1,959,257 |
Area Rank | : | 13th/195 |
Total Population | : | 131,947 |
Total Population Rank | : | 11th/195 |
Mexico Highlights
Mexico is the 11th ranked country in population and 13th 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. Mexico is the 1st highest ranked in Silver prod. out of 195 countries in the world. This implies that the country has higher foreign earnings through Silver exports or indicate higher economic growth potential.
- 2. The average Flourite prod. of 195 countries in the world is 231,501. Mexico is the 2nd highest ranked country out of 195 countries. This implies that the country has a robust aluminium/steel/ceramics industry or may be a huge exporter of Flourite.
- 3. Out of the 195 countries in the world, Mexico is the 4th 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. Mexico is the 56th worst ranked in Pharmacists (Per 10,000) out of 195 countries in the world. This may indicate worse healthcare infrastructure investment by the country or may indicate lower population.
- 2. The average #Dentists of the countries in the world is 13,328. Mexico is the 76th 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, Mexico is the 120th worst ranked in GDP Per Capita (USD) . This implies that this country is a developing country.
Mexico Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Spanish | # People | 2,344,008 | 1 | 1128 | ||
2 | Spanish as a % of total Spanish speakers | % People | 0 | 1 | 1126 | ||
Below than World Average- |
|||||||
1 | Standard Chinese | # People | 6,821,357 | 28 | 1231 |
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 | 1127 | ||
2 | # Cities>500000 | # Cities | 5 | 5 | 1126 | ||
3 | # Cities>500000 | # Cities | 4 | 5 | 1126 | ||
4 | # Cities>300000 | # Cities | 8 | 7 | 1127 | ||
5 | # Cities>300000 | # Cities | 7 | 7 | 1127 | ||
6 | # Cities>100000 | # Cities | 23 | 8 | 1128 | ||
7 | # Cities>100000 | # Cities | 21 | 8 | 1130 | ||
8 | # Cities>1M | # Cities | 1 | 8 | 1127 | ||
9 | Urban Population | # People | 23,726,053 | 9 | 1129 | ||
10 | # Cities>1M | # Cities | 2 | 9 | 1130 | ||
11 | # Cities>5M | # Cities | 0 | 9 | 1128 | ||
12 | # Cities>5M | # Cities | 0 | 11 | 1126 | ||
13 | 1M+ Cities per 100000 ( 1M+ Cities/ Tot Pop.)* 100000 | 0 | 20 | 1129 | |||
14 | Rural Pop. | # People | 18,013,759 | 23 | 1127 | ||
15 | Urban Population / Total Population % . | % People | 60 | 43 | 1130 | ||
Below than World Average- |
|||||||
1 | Rural Pop. /Total Pop. % | % People | 40 | 152 | 1230 | ||
2 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 74 | 1235 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Silver prod. | Tons | 1,980 | 1 | 1129 | ||
2 | Silver Produced/Total Silver Produced % | Weight | 9 | 1 | 1128 | ||
3 | Flourite prod. | Tons | 231,501 | 2 | 1129 | ||
4 | Flourite Produced/Total Flourite Produced % | Weight | 4 | 2 | 1125 | ||
5 | Sugarcane prod. | Tons | 52,039,862 | 6 | 1130 | ||
6 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 6 | 1126 | ||
7 | Honey prod. | Tons | 16,211 | 8 | 1126 | ||
8 | Honey Produced /Total Honey Produced % | Weight | 0 | 8 | 1128 | ||
9 | Number of Trees | Count | 15,642,617,148 | 10 | 1127 | ||
10 | Forest Area. | Area | 21,142,892 | 12 | 1129 | ||
11 | Country forest area / Global Forest area % | 0 | 12 | 1126 | |||
12 | Onion prod. | Tons | 773,539 | 15 | 1126 | ||
13 | Onion Produced/Total Onion Produced % | Weight | 0 | 15 | 1127 | ||
14 | Tree density. | Density | 22,685 | 74 | 1126 | ||
Below than World Average- |
|||||||
1 | Copper Produced /Total Copper Produced % | Weight | 9 | 8 | 1230 | ||
2 | Bismuth Produced/Total Bismuth Produced % | Weight | 14 | 3 | 1235 | ||
3 | Mercury Produced/Total Mercury Produced % | Weight | 14 | 2 | 1232 | ||
4 | Zinc Produced/Total Zinc Produced %. | Weight | 9 | 5 | 1235 | ||
5 | Gold Produced/Total Gold Produced %. | 4 | 6 | 1232 | |||
6 | Rice Produced/Total Rice Produced.% | Weight | 0 | 59 | 1231 | ||
7 | Tree density . | Density | 828 | 60 | 1235 | ||
8 | Rice prod. | Tons | 6,981,685 | 59 | 1233 | ||
9 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 48 | 1230 | ||
10 | Sweet Potatoes prod. | Tons | 895,180 | 48 | 1230 | ||
11 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 30 | 1234 | ||
12 | Potatoes prod. | Tons | 2,538,925 | 31 | 1232 | ||
13 | Soyabean prod. | Tons | 3,684,006 | 31 | 1235 | ||
14 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 30 | 1234 | ||
15 | Wheat prod. | Tons | 6,698,590 | 30 | 1235 | ||
16 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 30 | 1234 | ||
17 | Barley prod. | Tons | 1,576,534 | 28 | 1233 | ||
18 | Barley Produced/Total Barley Produced.% | Weight | 1 | 28 | 1232 | ||
19 | Natural Gas Prod. | Million cubic meters | 216,389 | 24 | 1230 | ||
20 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 24 | 1232 | ||
21 | Oil Prod. | Barrels/day | 4,369,531 | 11 | 1235 | ||
22 | Oil Prodcuced/Total Oil Produced % | 5 | 11 | 1231 | |||
23 | Copper prod. | Tons | 1,350 | 8 | 1231 | ||
24 | Gold Prod. | Weight | 125 | 6 | 1231 | ||
25 | Zinc prod. | Tons | 1,007,000 | 5 | 1233 | ||
26 | Bismuth prod. | Tons | 2,019 | 3 | 1230 |
Wealth Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Import Ban(Number of products) | Count | 12 | 2 | 1129 | ||
2 | FDI (millions USD) | Amount | 3,115 | 11 | 1125 | ||
3 | FDI / Total FDI of the World %. | 0 | 11 | 1129 | |||
4 | Import of Goods and Services (in Million $) | Amount | 183,299 | 13 | 1129 | ||
5 | Imports/Total Imports of the World %. | 0 | 13 | 1128 | |||
6 | GDP (Billions USD) | $ Billions | 613 | 15 | 1125 | ||
7 | Export of Goods and Services (in Million $) | Amount | 186,399 | 15 | 1126 | ||
8 | GDP as a % of Total GDP | Percent | 0 | 15 | 1129 | ||
9 | Exports /Total Exports of the World %. | 0 | 15 | 1127 | |||
10 | Corporate Tax Rates in % | Rate | 23 | 18 | 1129 | ||
Below than World Average- |
|||||||
1 | Imports /Total GDP of the Country %. | 53 | 99 | 1230 | |||
2 | Exports/Total GDP of the Country %. | 46 | 87 | 1232 | |||
3 | GDP Per Capita (USD) | $ | 30,070 | 76 | 1230 | ||
4 | No. of Companies Listed in NYSE | Count | 65 | 7 | 1235 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Population | # People | 11,885,917 | 3 | 1129 | ||
2 | World Heritage Sites | Count | 7 | 7 | 1128 | ||
Below than World Average- |
|||||||
1 | Islamic Population | # People | 9,936,734 | 146 | 1234 | ||
2 | Bronze Medal | Count | 4 | 37 | 1234 | ||
3 | Total Medals | Count | 12 | 40 | 1232 | ||
4 | # Olympic Medals | Count | 157 | 37 | 1230 | ||
5 | Silver Medal | Count | 3 | 22 | 1235 | ||
6 | Jewish Population | # People | 78,295 | 14 | 1234 |
--- Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Pop./Total Christian Pop.% | % People | 0 | 3 | 1126 | ||
2 | Christian Pop./Total Pop.% | % People | 42 | 20 | 1128 | ||
Below than World Average- |
|||||||
1 | Jewish Pop./Total Pop.% | % People | 0 | 42 | 1231 | ||
2 | Jewish Pop./Total Jewish Pop. % | % People | 0 | 14 | 1231 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Facebook users | # People | 7,174,483 | 4 | 1126 | ||
2 | Facebook Users as a % of Total facebook Users | % People | 0 | 4 | 1130 | ||
3 | Internet Users | # People | 28,408,774 | 7 | 1127 | ||
4 | FB Users / Total Pop. %. | % People | 26 | 7 | 1129 | ||
5 | FB Users / Total Int. Users %. | % People | 33 | 7 | 1129 | ||
6 | LinkedIn users | # People | 6,064,509 | 8 | 1126 | ||
7 | Twitter users | # People | 3,179,254 | 8 | 1130 | ||
8 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 8 | 1125 | ||
9 | Twitter Users as a % of Total Twitter Users | % People | 0 | 8 | 1126 | ||
10 | Twitter Users as a % of Total Internet Users | % People | 15 | 56 | 1130 | ||
11 | Int. Users / Total Pop.% | % People | 70 | 89 | 1129 | ||
Below than World Average- |
|||||||
1 | Facebook CPC in Rs. | Absolute | 5 | 117 | 1231 | ||
2 | LinkedIn Users as a % of Total Internet Users | % People | 33 | 91 | 1233 | ||
3 | LinkedIn Users as a % of Total Population | % People | 30 | 86 | 1235 | ||
4 | Twitter Users as a % of Total Population | % People | 14 | 53 | 1230 |
Media Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | # Theaters | Count | 310 | 5 | 1129 | ||
2 | Theaters/Total Theaters %. | Percent | 0 | 5 | 1128 | ||
3 | # Mobile phone numbers | Count | 40,393,496 | 14 | 1128 | ||
Below than World Average- |
|||||||
1 | # Phone Numbers /Total Pop. % | Percent | 101 | 124 | 1233 | ||
2 | Theaters per 100000 | Ratio | 1 | 30 | 1235 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Teachers in primary edu. | # People | 357,113 | 6 | 1128 | ||
2 | Formal Jobs | # People | 10,605,934 | 8 | 1125 | ||
3 | Employment in Services | # People | 10,251,634 | 9 | 1128 | ||
4 | Non-Agricultural Labour Force | # People | 15,067,127 | 9 | 1130 | ||
5 | Total Labour Force (2023) | # People | 20,409,734 | 11 | 1125 | ||
6 | Labour Force Participation | # People | 14,659,929 | 11 | 1127 | ||
7 | Employment in Agriculture | # People | 5,314,003 | 21 | 1128 | ||
8 | Unemployed Labour Force. | # People | 1,511,199 | 22 | 1127 | ||
9 | Employment in Services /Total pop.%. | % People | 25 | 71 | 1130 | ||
10 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 74 | 1129 | ||
11 | Employment in services/Total Labour force %. | % People | 56 | 75 | 1128 | ||
12 | Employment in Services / Total Labour Force %. | % People | 56 | 76 | 1129 | ||
13 | Total Labour Force/Total Pop. | % People | 43 | 76 | 1125 | ||
14 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 78 | 1129 | ||
Below than World Average- |
|||||||
1 | Unemployment Rate. | % People | 7 | 115 | 1232 | ||
2 | Employment in Agri. / Total Labour Force % . | % People | 23 | 105 | 1234 | ||
3 | Employment in Agriculture/Total Labour force %. | % People | 23 | 105 | 1234 | ||
4 | Employment in Agriculture /Total Pop. %. | % People | 9 | 97 | 1230 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total No. of Doctors | # People | 78,648 | 7 | 1127 | ||
2 | Total Nursing | # People | 163,061 | 14 | 1130 | ||
3 | Nurses(per 10000) | People per 10000 | 164,032 | 14 | 1126 | ||
4 | Doctors (Per 10,000) | People Per 10,000 | 20 | 70 | 1127 | ||
5 | Life Expectancy at Birth, both sexes | Age | 73 | 84 | 1129 | ||
6 | No. of people HIV infected/Total pop. | # People | 5,202 | 11 | 1128 | ||
Below than World Average- |
|||||||
1 | Dentist (per 10,000) | People per 10000 | 31 | 161 | 1232 | ||
2 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 140 | 1231 | ||
3 | Dentist to doctor ratio | Ratio | 3 | 128 | 1230 | ||
4 | #Dentists | # People | 13,328 | 120 | 1231 | ||
5 | Nurses to doctor ratio | Ratio | 46 | 92 | 1234 | ||
6 | HIV Infections (Per 1000) | People Per 1,000 | 0 | 53 | 1232 | ||
7 | Total No. of Pharmacists | # People | 19,528 | 48 | 1230 |
Education Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Teachers in tertiary edu. | # People | 297,976 | 8 | 1130 | ||
2 | Enrolment in secondary edu. | # People | 9,727,510 | 9 | 1130 | ||
3 | Teachers in secondary edu. | # People | 659,923 | 9 | 1125 | ||
4 | Total Literate Pop. | # People | 34,678,001 | 10 | 1126 | ||
5 | Enrolment in primary edu. | # People | 9,629,078 | 11 | 1126 | ||
6 | Literacy Rate (%) | % People | 86 | 99 | 1126 | ||
Below than World Average- |
|||||||
1 | # Students per teacher in Primary edu. | Ratio | 260 | 93 | 1235 | ||
2 | # Students per teacher in tertiary edu. | Ratio | 58 | 93 | 1235 | ||
3 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 92 | 1234 | ||
4 | # Students per teacher in secondary edu. | Ratio | 57 | 84 | 1231 | ||
5 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 83 | 1230 | ||
6 | Teachers as a % of Enrolment | % People | 41 | 67 | 1233 | ||
7 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 50 | 1231 | ||
8 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 49 | 1234 | ||
9 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 43 | 1233 | ||
10 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 26 | 1232 | ||
11 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 9 | 1233 | ||
12 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 8 | 1233 | ||
13 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 8 | 1233 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Police Officers | # People | 138,224 | 8 | 1125 | ||
2 | Total Military Force | # People | 358,465 | 26 | 1130 | ||
3 | Military Force/Total World Military Force %. | % People | 0 | 26 | 1127 | ||
Below than World Average- |
|||||||
1 | Military Force/Total Pop. % | % People | 1 | 103 | 1234 | ||
2 | Judges Per 100K | People Per 100K | 11 | 83 | 1231 | ||
3 | Military Budget (in Billion $) | $ Billion | 15 | 39 | 1230 | ||
4 | Military Budget/Total World Military Budget %. | Percent | 0 | 39 | 1235 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Female Population (2025) | # People (In Thousands) | 20,993 | 10 | 1128 | ||
2 | Total Population (2025) | # People (In Thousands) | 42,003 | 11 | 1127 | ||
3 | Male Population (2025) | # People (In Thousands) | 21,226 | 11 | 1127 | ||
4 | Births | # People (In Thousands) | 681 | 13 | 1126 | ||
5 | Female % of Total Pop. | % People | 50 | 32 | 1129 | ||
6 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 1 | 32 | 1125 | ||
7 | Total Deaths | # People (In Thousands) | 319 | 13 | 1128 | ||
Below than World Average- |
|||||||
1 | Male % of Total Pop. | % People | 50 | 164 | 1234 | ||
2 | Density ( Pop/Land Area Ratio) | Density | 312 | 119 | 1232 | ||
3 | Population Growth Rate (%) | % People | 0 | 103 | 1233 |
Mexico Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Spanish | 87.62 % |
2 | Standard Chinese | 0.02 % |
List of cities having more than 100K population in Mexico
Sr. | City | Total City Population (2023) |
---|---|---|
1 | Acapulco | 669,746 |
2 | Aguascalientes | 878,521 |
3 | Apatzingán | 104,133 |
4 | Apodaca | 545,478 |
5 | Buenavista | 220,469 |
6 | Cabo San Lucas | 206,131 |
7 | Campeche | 253,824 |
8 | Cancún | 903,842 |
9 | Celaya | 384,499 |
10 | Chalco de Díaz Covarrubias | 177,657 |
11 | Chetumal | 171,860 |
12 | Chicoloapan de Juárez | 196,775 |
13 | Chihuahua | 941,468 |
14 | Chilpancingo | 229,520 |
15 | Chimalhuacán | 715,101 |
16 | Cholula de Rivadabia | 104,031 |
17 | Ciudad Acuña | 162,911 |
18 | Ciudad Benito Juárez | 313,518 |
19 | Ciudad Cuauhtémoc | 137,895 |
20 | Ciudad de México | 9,365,771 |
21 | Ciudad del Carmen | 194,436 |
22 | Ciudad Guzmán | 113,896 |
23 | Ciudad Juárez | 1,527,013 |
24 | Ciudad López Mateos | 531,953 |
25 | Ciudad Madero | 209,385 |
26 | Ciudad Nezahualcóyotl | 1,090,855 |
27 | Ciudad Nicolás Romero | 328,975 |
28 | Ciudad Obregón | 334,975 |
29 | Ciudad Valles | 138,708 |
30 | Ciudad Victoria | 337,721 |
31 | Coatzacoalcos | 216,096 |
32 | Colima | 149,488 |
33 | Comitán | 115,421 |
34 | Córdoba | 141,454 |
35 | Cuautitlán | 119,997 |
36 | Cuautitlán Izcalli | 524,123 |
37 | Cuautla | 159,962 |
38 | Cuernavaca | 346,771 |
39 | Culiacán | 822,082 |
40 | Delicias | 130,776 |
41 | Durango | 626,527 |
42 | Ecatepec | 1,671,417 |
43 | Ensenada | 336,297 |
44 | Fresnillo | 145,725 |
45 | García | 238,672 |
46 | General Escobedo | 462,701 |
47 | Gómez Palacio | 306,806 |
48 | Guadalajara | 1,409,050 |
49 | Guadalupe | 646,662 |
50 | Guadalupe | 172,877 |
51 | Guaymas | 119,285 |
52 | Hermosillo | 870,080 |
53 | Iguala | 135,149 |
54 | Irapuato | 459,751 |
55 | Ixtapaluca | 374,838 |
56 | Jiutepec | 177,555 |
57 | Kanasín | 142,166 |
58 | Lagos de Moreno | 113,489 |
59 | La Paz | 254,333 |
60 | León | 1,606,537 |
61 | Los Mochis | 303,043 |
62 | Manzanillo | 162,606 |
63 | Matamoros | 519,343 |
64 | Mazatlán | 449,481 |
65 | Mérida | 937,401 |
66 | Mexicali | 868,657 |
67 | Minatitlán | 103,014 |
68 | Miramar | 164,538 |
69 | Monclova | 241,214 |
70 | Monterrey | 1,162,344 |
71 | Morelia | 755,880 |
72 | Naucalpan | 789,337 |
73 | Naucalpan (Huixquilucan) | 137,285 |
74 | Navojoa | 122,946 |
75 | Nogales | 265,519 |
76 | Nuevo Laredo | 423,142 |
77 | Oaxaca | 263,282 |
78 | Ojo de Agua | 392,838 |
79 | Orizaba | 122,539 |
80 | Pachuca | 302,840 |
81 | Parral | 115,726 |
82 | Piedras Negras | 176,945 |
83 | Playa del Carmen | 310,060 |
84 | Poza Rica | 183,148 |
85 | Puebla | 1,568,301 |
86 | Puerto Vallarta | 227,994 |
87 | Querétaro | 808,251 |
88 | Ramos Arizpe | 115,929 |
89 | Reynosa | 703,305 |
90 | Río Bravo | 113,184 |
91 | Rosarito | 102,404 |
92 | Salamanca | 163,420 |
93 | Saltillo | 879,029 |
94 | San Cristóbal de las Casas | 186,606 |
95 | San Francisco Coacalco | 298,162 |
96 | San Juan Bautista | 105,353 |
97 | San Juan del Río | 180,707 |
98 | San José del Cabo | 138,607 |
99 | San Luis Potosí | 860,216 |
100 | San Luis Río Colorado | 179,691 |
101 | San Nicolás de los Garza | 419,176 |
102 | San Pablo de las Salinas | 160,674 |
103 | San Pedro Garza García | 134,336 |
104 | Santa Catarina | 309,247 |
105 | Soledad de Graciano Sánchez | 315,450 |
106 | Tampico | 302,433 |
107 | Tapachula | 221,283 |
108 | Tehuacán | 298,772 |
109 | Temixco | 106,269 |
110 | Tepexpan | 122,844 |
111 | Tepic | 377,686 |
112 | Tijuana | 1,841,243 |
113 | Tlalnepantla | 670,051 |
114 | Tlaquepaque | 661,102 |
115 | Toluca | 227,689 |
116 | Tonalá | 449,887 |
117 | Torreón | 701,881 |
118 | Tulancingo | 107,997 |
119 | Tuxtla Gutiérrez | 588,596 |
120 | Uruapan | 304,569 |
121 | Veracruz | 412,871 |
122 | Veracruz (Boca del Río) | 134,234 |
123 | Villa de Álvarez | 149,996 |
124 | Villahermosa | 345,856 |
125 | Xalapa-Enríquez | 450,599 |
126 | Xico | 390,804 |
127 | Zacatecas | 140,742 |
128 | Zamora de Hidalgo | 157,115 |
129 | Zapopan | 1,278,782 |
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.