LANGUAGES
- Official Language:
- 1. Russian
: 116,499,000
- 2. German
: 2,157,000
Mother Tongue : Russian
Literacy Rate (%) : 99.70
Country Capital | : | Moscow |
---|---|---|
GDP Per capita | : | 48,957 |
GDP Per Capita Rank | : | 45th/195 |
Life Expectancy | : | 73 |
Unemployment Rate | : | 3 |
Number of Internet Users | : | 133,952,148 |
Internet Users Rank | : | 6th/195 |
Area | : | 16,375,438 |
Area Rank | : | 1st/195 |
Total Population | : | 143,997 |
Total Population Rank | : | 9th/195 |
Russia Highlights
Russia is the 9th ranked country in population and 1st 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. Russia is the 1st highest ranked in Russian out of 195 countries in the world. This implies that this country has significantly more people speaking Russian when compared to other countries.
- 2. The average Barley prod. of 195 countries in the world is 1,576,534. Russia is the 1st highest ranked country out of 195 countries. This is indicative of a more fertile land, suitable for producing high quantities of barley when compared to other countries.
- 3. Out of the 195 countries in the world, Russia is the 1st highest ranked in Diamond prod. . This implies that the country has higher foreign earnings through Diamond exports or indicate higher economic growth potential.
Worse than World Average-
- 1. Russia is the 143rd worst ranked in Total No. of Pharmacists 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 Rice prod. of the countries in the world is 6,981,685. Russia is the 154th worst-ranked country out of 195 countries. This is indicative of less focus on the production of rice, or scarcity of fertile land, or higher industrialisation as compared to other countries.
- 3. Out of the 195 countries in the world, Russia is the 161st worst ranked in Employment in Agriculture . This may indicate that a significant portion of population is living in urban areas or simply imply that the country is developed
Russia Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Russian | # People | 761,000 | 1 | 1127 | ||
2 | Russian as a % of total Russian speakers | % People | 0 | 1 | 1126 | ||
3 | Armenian | # People | 26,254 | 2 | 1129 | ||
4 | Belarusian | # People | 23,112 | 2 | 1126 | ||
5 | Estonian | # People | 5,326 | 2 | 1126 | ||
6 | Georgian | # People | 17,304 | 2 | 1125 | ||
7 | Latvian | # People | 6,790 | 2 | 1130 | ||
8 | Ukrainian | # People | 142,015 | 2 | 1125 | ||
9 | Armenian as a % of total Armenian speakers | % People | 0 | 2 | 1126 | ||
10 | Belarusian as a % of total Belarusian speakers | % People | 0 | 2 | 1130 | ||
11 | Estonian as a % of total Estonian speakers | % People | 0 | 2 | 1128 | ||
12 | Georgian as a % of total Georgian speakers | % People | 0 | 2 | 1127 | ||
13 | Latvian as a % of total Latvian speakers | % People | 0 | 2 | 1130 | ||
14 | Ukrainian as a % of total Ukrainian speakers | % People | 0 | 2 | 1128 | ||
15 | Kazakh | # People | 75,979 | 3 | 1125 | ||
16 | Kazakh as a % of total Kazakh speakers | % People | 0 | 3 | 1126 | ||
17 | German | # People | 498,994 | 4 | 1125 | ||
18 | Tajik | # People | 27,578 | 4 | 1125 | ||
19 | German as a % of total German speakers | % People | 0 | 4 | 1127 | ||
20 | Azerbaijani | # People | 171,624 | 5 | 1127 | ||
21 | Azerbaijani as a % of total Azerbaijani speakers | % People | 0 | 5 | 1130 | ||
Below than World Average- |
|||||||
1 | Uzbek as a % of total Uzbek speakers | % People | 0 | 8 | 1235 | ||
2 | Uzbek | # People | 119,785 | 7 | 1230 | ||
3 | Tajik as a % of total Tajik speakers | % People | 0 | 4 | 1232 |
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 | 1129 | ||
2 | # Cities>10M | # Cities | 0 | 2 | 1129 | ||
3 | # Cities>5M | # Cities | 0 | 3 | 1125 | ||
4 | # Cities>1M | # Cities | 1 | 3 | 1130 | ||
5 | # Cities>5M | # Cities | 0 | 3 | 1128 | ||
6 | # Cities>1M | # Cities | 2 | 4 | 1126 | ||
7 | # Cities>10M | # Cities | 0 | 4 | 1127 | ||
8 | # Cities>500000 | # Cities | 4 | 4 | 1125 | ||
9 | # Cities>500000 | # Cities | 5 | 5 | 1127 | ||
10 | # Cities>300000 | # Cities | 7 | 5 | 1127 | ||
11 | # Cities>300000 | # Cities | 8 | 6 | 1130 | ||
12 | # Cities>100000 | # Cities | 23 | 7 | 1130 | ||
13 | # Cities>100000 | # Cities | 21 | 7 | 1127 | ||
14 | Urban Population (2021) | # People | 23,726,053 | 8 | 1127 | ||
15 | Rural Pop. | # People | 18,013,759 | 16 | 1128 | ||
16 | Urban Population / Total Population % . | % People | 60 | 60 | 1126 | ||
Below than World Average- |
|||||||
1 | Rural Pop. /Total Pop. % | % People | 40 | 136 | 1234 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Barley prod. | Tons | 1,576,534 | 1 | 1125 | ||
2 | Diamond prod. | Tons | 10 | 1 | 1126 | ||
3 | Number of Trees | Count | 15,642,617,148 | 1 | 1127 | ||
4 | Forest Area. | Area | 21,142,892 | 1 | 1129 | ||
5 | Tree density. | Density | 9 | 1 | 1126 | ||
6 | Tree density . | Density | 8 | 1 | 1125 | ||
7 | Country forest area / Global Forest area % | 0 | 1 | 1129 | |||
8 | Barley Produced/Total Barley Produced.% | Weight | 1 | 1 | 1130 | ||
9 | Diamond Produced/Total Diamond Produced % | Weight | 10 | 1 | 1128 | ||
10 | Natural Gas Prod. | Million cubic meters | 216,389 | 2 | 1126 | ||
11 | Oil Prod. | Barrels/day | 4,369,531 | 2 | 1125 | ||
12 | Gold Prod. | Weight | 125 | 2 | 1129 | ||
13 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 2 | 1130 | ||
14 | Oil Prodcuced/Total Oil Produced % | 5 | 2 | 1129 | |||
15 | Gold Produced/Total Gold Produced %. | 4 | 2 | 1125 | |||
16 | Wheat prod. | Tons | 6,698,590 | 3 | 1130 | ||
17 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 3 | 1128 | ||
18 | Chicken Meat Production (in tonnes) | Weight | 588,164 | 3 | 1126 | ||
19 | Chicken Meat Production (% of Total Chicken Meat Production) | Percent | 0 | 3 | 1126 | ||
20 | Potatoes prod. | Tons | 2,538,925 | 4 | 1128 | ||
21 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 4 | 1125 | ||
22 | Coal Production (in 1000 metric tons) | Weight | 121,850 | 4 | 1127 | ||
23 | Coal Production (% of Total Coal Production) | Percent | 1 | 4 | 1130 | ||
24 | Cow Milk Production (in tonnes) | Weight | 3,855,383 | 5 | 1125 | ||
25 | Cow Milk Production (% of Total Cow Milk Production) | Percent | 0 | 5 | 1128 | ||
26 | Uranium prod. | Tons | 2,516 | 6 | 1125 | ||
27 | Uranium Produced/Total Uranium Produced % | Weight | 5 | 6 | 1129 | ||
28 | Iron Production (in 1000 metric tons) | Weight | 33,258 | 6 | 1127 | ||
29 | Iron Production (% of Total Iron Production) | Percent | 2 | 6 | 1129 | ||
30 | Honey prod. | Tons | 16,211 | 7 | 1125 | ||
31 | Soyabean prod. | Tons | 3,684,006 | 7 | 1129 | ||
32 | Honey Produced /Total Honey Produced % | Weight | 0 | 7 | 1128 | ||
33 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 7 | 1128 | ||
34 | Cow Beef Production (in tonnes) | Weight | 320,761 | 7 | 1125 | ||
35 | Cow Beef Production (% of Total Cow Beef Production) | Percent | 0 | 7 | 1125 | ||
36 | Apple Production (in tonnes) | Weight | 1,044,287 | 8 | 1128 | ||
37 | Apple Production (% of Total Apple Production) | Percent | 1 | 8 | 1130 | ||
38 | Onion Produced/Total Onion Produced % | Weight | 0 | 13 | 1127 | ||
39 | Onion prod. | Tons | 773,539 | 14 | 1125 | ||
40 | Number of Cows | Count | 8,697,624 | 18 | 1129 | ||
41 | Cows (% of Total Cows) | Percent | 0 | 18 | 1128 | ||
42 | Goat Milk Production (in tonnes) | Weight | 196,989 | 20 | 1127 | ||
43 | Goat Milk Production (% of Total Goat Milk Production) | Percent | 0 | 20 | 1126 | ||
Below than World Average- |
|||||||
1 | Orange Production (in tonnes) | Weight | 618,959 | 110 | 1230 | ||
2 | Rice prod. | Tons | 6,981,685 | 42 | 1230 | ||
3 | Rice Produced/Total Rice Produced.% | Weight | 0 | 39 | 1231 | ||
4 | Goat Meat Production (in tonnes) | Weight | 46,111 | 41 | 1231 | ||
5 | Goat Meat Production (% of Total Goat Meat Production) | Percent | 0 | 41 | 1230 | ||
6 | Tin prod. | Tons | 23,069 | 12 | 1232 | ||
7 | Tin Produced/Total Tin Produced in 2019 | Weight | 7 | 12 | 1235 | ||
8 | Bauxite prod. | Tons | 29,969 | 8 | 1231 | ||
9 | Silver prod. | Tons | 1,980 | 6 | 1233 | ||
10 | Zinc prod. | Tons | 1,007,000 | 7 | 1231 | ||
11 | Bauxite Produced/Total Bauxite Produced % | Weight | 7 | 8 | 1232 | ||
12 | Silver Produced/Total Silver Produced % | Weight | 9 | 6 | 1233 | ||
13 | Zinc Produced/Total Zinc Produced %. | Weight | 9 | 7 | 1235 | ||
14 | Bismuth prod. | Tons | 2,019 | 7 | 1231 | ||
15 | Bismuth Produced/Total Bismuth Produced % | Weight | 14 | 7 | 1232 | ||
16 | Flourite prod. | Tons | 231,501 | 4 | 1235 | ||
17 | Copper prod. | Tons | 1,350 | 4 | 1230 | ||
18 | Flourite Produced/Total Flourite Produced % | Weight | 4 | 4 | 1231 | ||
19 | Copper Produced /Total Copper Produced % | Weight | 9 | 4 | 1233 | ||
20 | Nickel prod. | Tons | 376,142 | 3 | 1231 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Female % of Total Pop. | % People | 50 | 1 | 1129 | ||
2 | Total Population (2025) | # People (In Thousands) | 42,003 | 9 | 1127 | ||
3 | Female Population (2025) | # People (In Thousands) | 20,993 | 9 | 1129 | ||
4 | Male Population (2025) | # People (In Thousands) | 21,226 | 10 | 1128 | ||
5 | Births | # People (In Thousands) | 681 | 23 | 1130 | ||
6 | Total Deaths | # People (In Thousands) | 319 | 6 | 1127 | ||
Below than World Average- |
|||||||
1 | Male % of Total Pop. | % People | 50 | 192 | 1234 | ||
2 | Population Growth Rate (%) | % People | 0 | 173 | 1232 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Judges Per 100K | People Per 100K | 11 | 2 | 1126 | ||
2 | Military Budget (in Billion $) | $ Billion | 15 | 3 | 1130 | ||
3 | Military Budget/Total World Military Budget %. | Percent | 0 | 3 | 1127 | ||
4 | Police Officers | # People | 138,224 | 4 | 1129 | ||
5 | Total Military Force | # People | 358,465 | 5 | 1125 | ||
6 | Military Force/Total World Military Force %. | % People | 0 | 5 | 1130 | ||
7 | Lawyers Per 100K | People Per 100K | 160 | 14 | 1127 | ||
8 | Military Force/Total Pop. % | % People | 1 | 20 | 1125 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Population | # People | 11,885,917 | 4 | 1127 | ||
2 | Christian Pop./Total Christian Pop.% | % People | 0 | 4 | 1130 | ||
3 | # Oscar Wins – Best International Feature Film | 0 | 4 | 1130 | |||
4 | Share of Best International Feature Film Wins (% World) | 0 | 4 | 1127 | |||
5 | # Olympic Medals | Count | 157 | 7 | 1127 | ||
6 | Jewish Population | # People | 78,295 | 7 | 1127 | ||
7 | Jewish Pop./Total Jewish Pop. % | % People | 0 | 7 | 1125 | ||
8 | World Heritage Sites | Count | 7 | 9 | 1127 | ||
9 | # Cannes Grand Prizes (Palme d'Or or Grand Prix) | 0 | 11 | 1127 | |||
10 | Share of Cannes Grand Prize Wins (% World) | 0 | 11 | 1130 | |||
11 | Islamic Population | # People | 9,936,734 | 24 | 1127 | ||
12 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 24 | 1130 | ||
13 | Christian Pop./Total Pop.% | % People | 42 | 55 | 1127 | ||
Below than World Average- |
|||||||
1 | Islamic Pop./Total Pop.% | % People | 22 | 74 | 1233 | ||
2 | Jewish Pop./Total Pop.% | % People | 0 | 20 | 1234 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total No. of Doctors | # People | 78,648 | 4 | 1127 | ||
Below than World Average- |
|||||||
1 | Dentist (per 10,000) | People per 10000 | 31 | 134 | 1231 | ||
2 | Life Expectancy at Birth, both sexes | Age | 73 | 101 | 1230 | ||
3 | Dentist to doctor ratio | Ratio | 3 | 58 | 1234 | ||
4 | Total No. of Pharmacists | # People | 19,528 | 53 | 1235 |
Education Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Teachers in tertiary edu. | # People | 297,976 | 5 | 1126 | ||
2 | Teachers in secondary edu. | # People | 659,923 | 6 | 1127 | ||
3 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 7 | 1126 | ||
4 | Total Literate Pop. | # People | 34,678,001 | 7 | 1130 | ||
5 | Literacy Rate (%) | % People | 86 | 21 | 1125 | ||
Below than World Average- |
|||||||
1 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 168 | 1233 | ||
2 | # Students per teacher in secondary edu. | Ratio | 31 | 168 | 1235 | ||
3 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 167 | 1230 | ||
4 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 148 | 1234 | ||
5 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 111 | 1233 | ||
6 | # Students per teacher in tertiary edu. | Ratio | 32 | 1 | 1231 | ||
7 | # Students per teacher in Primary edu. | Ratio | 260 | 96 | 1231 | ||
8 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 44 | 1235 | ||
9 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 40 | 1234 | ||
10 | Teachers as a % of Enrolment | % People | 41 | 28 | 1231 | ||
11 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 14 | 1232 | ||
12 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,858,694 | 6 | 1235 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Formal Jobs | # People | 10,605,934 | 5 | 1129 | ||
2 | Labour Force Participation | # People | 14,659,929 | 7 | 1127 | ||
3 | Non-Agricultural Labour Force | # People | 15,067,127 | 7 | 1125 | ||
4 | Employment in Services | # People | 10,251,634 | 8 | 1129 | ||
5 | Total Labour Force (2021) | # People | 20,409,734 | 9 | 1126 | ||
6 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 9 | 1129 | ||
7 | Unemployed Labour Force. | # People | 1,511,199 | 15 | 1130 | ||
8 | Employment in Services /Total pop.%. | % People | 25 | 45 | 1125 | ||
9 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 50 | 1127 | ||
10 | Total Labour Force/Total Pop. | % People | 43 | 51 | 1128 | ||
11 | Employment in Services / Total Labour Force %. | % People | 56 | 54 | 1125 | ||
12 | Employment in services/Total Labour force %. | % People | 56 | 54 | 1126 | ||
Below than World Average- |
|||||||
1 | Employment in Agri. / Total Labour Force % . | % People | 23 | 129 | 1232 | ||
2 | Employment in Agriculture/Total Labour force %. | % People | 23 | 129 | 1232 | ||
3 | Employment in Agriculture /Total Pop. %. | % People | 9 | 125 | 1233 | ||
4 | Unemployment Rate. | % People | 7 | 104 | 1235 | ||
5 | Employment in Agriculture | # People | 5,314,003 | 35 | 1233 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Internet Users | # People | 28,408,774 | 6 | 1127 | ||
2 | Int. Users / Total Pop.% | % People | 70 | 37 | 1127 | ||
Below than World Average- |
|||||||
1 | Twitter Users as a % of Total Internet Users | % People | 14 | 182 | 1232 | ||
2 | Twitter Users as a % of Total Population | % People | 13 | 160 | 1233 | ||
3 | Twitter Users as a % of Total Twitter Users | % People | 0 | 70 | 1232 | ||
4 | Twitter users | # People | 3,173,740 | 74 | 1232 |
Media Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | # Mobile phone numbers | Count | 40,393,496 | 6 | 1125 | ||
2 | # Phone Numbers /Total Pop. % | Percent | 101 | 14 | 1130 |
Wealth Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | GDP (Billions USD) 2025 | $ Billions | 613 | 11 | 1130 | ||
2 | GDP as a % of Total GDP | Percent | 0 | 11 | 1126 | ||
3 | Export of Goods and Services (in Million $) | Amount | 186,399 | 20 | 1126 | ||
4 | Exports /Total Exports of the World %. | 0 | 20 | 1127 | |||
5 | Import of Goods and Services (in Million $) | Amount | 183,299 | 22 | 1125 | ||
6 | Imports/Total Imports of the World %. | 0 | 22 | 1127 | |||
7 | Import Ban(Number of products) | Count | 12 | 33 | 1127 | ||
8 | GDP Per Capita (USD) | $ | 30,070 | 45 | 1128 | ||
Below than World Average- |
|||||||
1 | FDI (millions USD) | Amount | 3,115 | 187 | 1235 | ||
2 | FDI / Total FDI of the World %. | 0 | 187 | 1235 | |||
3 | Imports /Total GDP of the Country %. | 53 | 157 | 1231 | |||
4 | Corporate Tax Rates in % | Rate | 23 | 130 | 1232 | ||
5 | Exports/Total GDP of the Country %. | 46 | 124 | 1231 |
Russia Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Uzbek | 0.04 % |
List of cities having more than 100K population in Russia
Sr. | City | Total City Population (2023) |
---|---|---|
1 | Abakan | 185,348 |
2 | Almetyevsk | 164,145 |
3 | Angarsk | 218,386 |
4 | Arkhangelsk | 298,617 |
5 | Armavir | 184,219 |
6 | Artyom | 108,690 |
7 | Arzamas | 103,997 |
8 | Astrakhan | 468,842 |
9 | Balakovo | 182,758 |
10 | Balashikha | 526,851 |
11 | Barnaul | 623,057 |
12 | Bataysk | 125,523 |
13 | Belgorod | 333,931 |
14 | Berdsk | 102,965 |
15 | Berezniki | 135,533 |
16 | Biysk | 181,678 |
17 | Blagoveshchensk | 240,572 |
18 | Bratsk | 221,244 |
19 | Bryansk | 375,669 |
20 | Cheboksary | 496,238 |
21 | Chelyabinsk | 1,182,517 |
22 | Cherepovets | 301,040 |
23 | Cherkessk | 112,789 |
24 | Chita | 333,679 |
25 | Derbent | 126,078 |
26 | Dimitrovgrad | 109,547 |
27 | Dolgoprudny | 119,957 |
28 | Domodedovo | 155,421 |
29 | Dzerzhinsk | 216,598 |
30 | Elektrostal | 143,182 |
31 | Elista | 102,428 |
32 | Engels | 223,333 |
33 | Grozny | 331,402 |
34 | Irkutsk | 611,215 |
35 | Ivanovo | 360,687 |
36 | Izhevsk | 620,591 |
37 | Kaliningrad | 489,735 |
38 | Kaluga | 333,954 |
39 | Kamensk-Uralsky | 162,177 |
40 | Kamyshin | 105,471 |
41 | Kaspiysk | 125,747 |
42 | Kazan | 1,314,685 |
43 | Kemerovo | 549,362 |
44 | Khabarovsk | 617,168 |
45 | Khanty-Mansiysk | 109,745 |
46 | Khasavyurt | 157,466 |
47 | Khimki | 257,006 |
48 | Kirov | 471,754 |
49 | Kislovodsk | 126,674 |
50 | Kolomna | 133,019 |
51 | Komsomolsk-on-Amur | 236,158 |
52 | Kopeysk | 146,125 |
53 | Korolyov | 226,936 |
54 | Kostroma | 265,965 |
55 | Kovrov | 130,327 |
56 | Krasnodar | 1,121,291 |
57 | Krasnogorsk | 188,850 |
58 | Krasnoyarsk | 1,196,913 |
59 | Kurgan | 305,505 |
60 | Kursk | 434,703 |
61 | Kyzyl | 128,149 |
62 | Lipetsk | 490,428 |
63 | Lyubertsy | 230,134 |
64 | Magnitogorsk | 409,255 |
65 | Makhachkala | 622,660 |
66 | Maykop | 139,687 |
67 | Miass | 147,449 |
68 | Mikhaylovsk | 112,793 |
69 | Moscow | 13,104,177 |
70 | Murmansk | 267,422 |
71 | Murino | 104,611 |
72 | Murom | 105,995 |
73 | Mytishchi | 266,436 |
74 | Naberezhnye Chelny | 545,750 |
75 | Nakhodka | 136,096 |
76 | Nalchik | 245,961 |
77 | Nazran | 124,086 |
78 | Neftekamsk | 133,300 |
79 | Nefteyugansk | 124,989 |
80 | Nevinnomyssk | 115,826 |
81 | Nizhnekamsk | 241,106 |
82 | Nizhnevartovsk | 287,095 |
83 | Nizhny Novgorod | 1,213,477 |
84 | Nizhny Tagil | 334,209 |
85 | Noginsk | 102,205 |
86 | Norilsk | 174,747 |
87 | Novocheboksarsk | 120,147 |
88 | Novocherkassk | 160,782 |
89 | Novokuznetsk | 533,565 |
90 | Novomoskovsk | 118,066 |
91 | Novorossiysk | 261,626 |
92 | Novoshakhtinsk | 101,708 |
93 | Novosibirsk | 1,635,338 |
94 | Novy Urengoy | 106,764 |
95 | Noyabrsk | 101,235 |
96 | Obninsk | 129,584 |
97 | Odintsovo | 186,172 |
98 | Oktyabrsky | 116,282 |
99 | Omsk | 1,110,836 |
100 | Orekhovo-Zuyevo | 105,542 |
101 | Orenburg | 539,236 |
102 | Orsk | 188,135 |
103 | Oryol | 296,633 |
104 | Penza | 492,376 |
105 | Perm | 1,027,153 |
106 | Pervouralsk | 112,860 |
107 | Petropavlovsk-Kamchatsky | 162,992 |
108 | Petrozavodsk | 235,793 |
109 | Podolsk | 312,400 |
110 | Prokopyevsk | 174,859 |
111 | Pskov | 189,315 |
112 | Pushkino | 111,738 |
113 | Pyatigorsk | 144,955 |
114 | Ramenskoye | 114,000 |
115 | Reutov | 113,140 |
116 | Rostov-on-Don | 1,135,968 |
117 | Rubtsovsk | 124,687 |
118 | Ryazan | 523,203 |
119 | Rybinsk | 173,910 |
120 | Saint Petersburg | 5,600,044 |
121 | Salavat | 147,296 |
122 | Samara | 1,163,645 |
123 | Saransk | 312,252 |
124 | Saratov | 891,898 |
125 | Serpukhov | 133,646 |
126 | Severodvinsk | 156,056 |
127 | Seversk | 105,797 |
128 | Shakhty | 222,489 |
129 | Shchyolkovo | 135,509 |
130 | Smolensk | 312,896 |
131 | Sochi | 446,599 |
132 | Stary Oskol | 218,340 |
133 | Stavropol | 550,147 |
134 | Sterlitamak | 279,174 |
135 | Surgut | 406,938 |
136 | Syktyvkar | 220,042 |
137 | Syzran | 163,303 |
138 | Taganrog | 242,327 |
139 | Tambov | 258,546 |
140 | Tolyatti | 674,630 |
141 | Tomsk | 551,504 |
142 | Tula | 466,609 |
143 | Tver | 414,756 |
144 | Tyumen | 855,618 |
145 | Ufa | 1,157,994 |
146 | Ulan-Ude | 436,138 |
147 | Ulyanovsk | 613,334 |
148 | Ussuriysk | 179,862 |
149 | Veliky Novgorod | 223,191 |
150 | Vidnoye | 103,957 |
151 | Vladikavkaz | 292,886 |
152 | Vladimir | 346,771 |
153 | Vladivostok | 597,237 |
154 | Volgodonsk | 165,567 |
155 | Volgograd | 1,025,662 |
156 | Vologda | 311,628 |
157 | Volzhsky | 316,544 |
158 | Voronezh | 1,051,995 |
159 | Yakutsk | 361,154 |
160 | Yaroslavl | 570,824 |
161 | Yekaterinburg | 1,539,371 |
162 | Yessentuki | 121,534 |
163 | Yoshkar-Ola | 283,469 |
164 | Yuzhno-Sakhalinsk | 180,467 |
165 | Zhukovsky | 110,507 |
166 | Zlatoust | 159,662 |
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.