Japan Analytics
LANGUAGES
- Official Language:
- 1. Japanese
: 123,396,000
- 2. Korean
: 623,000
Mother Tongue : Japanese
Literacy Rate (%) : 99
Country Capital | : | Tokyo |
---|---|---|
GDP Per capita | : | 34,017 |
GDP Per Capita Rank | : | 30th/195 |
Life Expectancy | : | 84 |
Unemployment Rate | : | 2 |
Number of Internet Users | : | 99,600,000 |
Internet Users Rank | : | 8th/195 |
Area | : | 99 |
Area Rank | : | 61st/195 |
Total Population | : | 124,613 |
Total Population Rank | : | 11th/195 |
Continent: Asia
Japan Highlights
Japan is the 11th ranked country in population and 61st 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. Japan is the 4th highest ranked in Teachers in tertiary edu. out of 195 countries in the world. This implies better investment by the country in higher education when compared to other countries.
- 2. The average Total Nursing of 195 countries in the world is 163,061. Japan is the 5th highest ranked country out of 195 countries. This implies better healthcare infrastructure investment by the country or higher level of health awareness among the people in the country
- 3. Out of the 195 countries in the world, Japan is the 5th highest ranked in Pharmacists (Per 10,000) . This implies better investment in healthcare infrastructure or may also imply a higher population in this country
Worse than World Average-
- 1. Japan is the 115th worst ranked in Oil Prod. out of 195 countries in the world. This indicates that natural resources are scarce in this country when compared to other countries, and it may be a huge importer of such resources.
- 2. The average Onion prod. of the countries in the world is 759,968. Japan is the 124th worst-ranked country out of 195 countries. This is indicative of less focus on the production of onion, or scarcity of fertile land, or higher industrialisation as compared to other countries.
- 3. Out of the 195 countries in the world, Japan is the 137th worst ranked in Natural Gas Prod. . This indicates that natural resources are scarce in this country when compared to other countries, and it may be a huge importer of such resources.
Japan Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Japanese | # People | 638,456 | 1 | 1127 | ||
2 | Japanese as a % of total Japanese speakers | % People | 0 | 1 | 1125 | ||
3 | Korean | # People | 407,376 | 4 | 1130 | ||
4 | Korean as a % of total Korean speakers | % People | 0 | 5 | 1126 | ||
5 | Mandarin Chinese as a % of total Mandarin Chinese speakers | % People | 0 | 10 | 1129 | ||
Below than World Average- |
|||||||
1 | English as a % of total English speakers | % People | 0 | 34 | 1234 | ||
2 | English | # People | 3,175,743 | 31 | 1233 | ||
3 | Standard Chinese as a % of total Standard Chinese speakers | % People | 0 | 15 | 1232 | ||
4 | Standard Chinese | # People | 6,821,357 | 15 | 1231 | ||
5 | Filipino | # People | 242,148 | 6 | 1234 | ||
6 | Filipino as a % of total Filipino speakers | % People | 0 | 6 | 1233 |
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Pop. with access to Electricity (%) | % People | 85 | 1 | 1130 | ||
2 | # Cities>100000 | # Cities | 23 | 4 | 1129 | ||
3 | # Cities>100000 | # Cities | 21 | 4 | 1128 | ||
4 | # Cities>300000 | # Cities | 7 | 4 | 1130 | ||
5 | # Cities>300000 | # Cities | 8 | 5 | 1127 | ||
6 | Urban Population (2021) | # People | 22,563,215 | 6 | 1128 | ||
7 | # Cities>1M | # Cities | 1 | 6 | 1125 | ||
8 | # Cities>1M | # Cities | 2 | 7 | 1129 | ||
9 | # Cities>500000 | # Cities | 4 | 8 | 1128 | ||
10 | # Cities>500000 | # Cities | 5 | 9 | 1127 | ||
11 | # Cities>5M | # Cities | 0 | 9 | 1128 | ||
12 | # Cities>5M | # Cities | 0 | 11 | 1127 | ||
13 | Urban Population / Total Population % . | % People | 59 | 15 | 1126 | ||
14 | 1M+ Cities per 100000 ( 1M+ Cities/ Tot Pop.)* 100000 | 0 | 38 | 1128 | |||
Below than World Average- |
|||||||
1 | Rural Pop. /Total Pop. % | % People | 41 | 183 | 1232 | ||
2 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 91 | 1230 | |||
3 | Rural Pop. | # People | 18,013,759 | 59 | 1234 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Life Expectancy at Birth, both sexes | Age | 71 | 2 | 1129 | ||
2 | Total Nursing | # People | 163,061 | 5 | 1126 | ||
3 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 5 | 1129 | ||
4 | Total No. of Pharmacists | # People | 14,339 | 6 | 1126 | ||
5 | Total No. of Doctors | # People | 73,975 | 7 | 1125 | ||
6 | Nurses(per 10000) | People per 10000 | 44 | 10 | 1127 | ||
7 | Nurses to doctor ratio | Ratio | 2 | 24 | 1128 | ||
8 | Doctors (Per 10,000) | People Per 10,000 | 20 | 67 | 1130 | ||
Below than World Average- |
|||||||
1 | Dentist (per 10,000) | People per 10000 | 31 | 127 | 1232 | ||
2 | Dentist to doctor ratio | Ratio | 3 | 115 | 1231 | ||
3 | #Dentists | # People | 13,328 | 46 | 1230 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Buddhist Population | # People | 1,912,220 | 2 | 1126 | ||
2 | Gold Medal | Count | 3 | 3 | 1125 | ||
3 | Total Medals | Count | 12 | 6 | 1127 | ||
4 | # Olympic Medals | Count | 126 | 7 | 1129 | ||
5 | Bronze Medal | Count | 4 | 7 | 1129 | ||
6 | Silver Medal | Count | 3 | 8 | 1128 | ||
7 | World Heritage Sites | Count | 7 | 11 | 1125 | ||
Below than World Average- |
|||||||
1 | Islamic Population | # People | 9,744,062 | 105 | 1232 |
--- Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Buddhist Pop./Total Buddhist Pop. % | % People | 0 | 2 | 1127 | ||
2 | Buddhist Pop./Total Pop.%. | % People | 3 | 6 | 1129 | ||
Below than World Average- |
|||||||
1 | Islamic Pop./Total Pop.% | % People | 22 | 166 | 1231 | ||
2 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 101 | 1234 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Twitter users | # People | 3,240,046 | 2 | 1126 | ||
2 | Twitter Users as a % of Total Twitter Users | # People | 0 | 2 | 1127 | ||
3 | Twitter Users as a % of Total Population | # People | 14 | 4 | 1128 | ||
4 | Twitter Users as a % of Total Internet Users | # People | 16 | 4 | 1129 | ||
5 | Internet Users | # People | 25,030,008 | 8 | 1126 | ||
6 | Facebook users | # People | 17,943,893 | 10 | 1127 | ||
7 | Int. Users / Total Pop.% | % People | 66 | 77 | 1126 | ||
Below than World Average- |
|||||||
1 | LinkedIn Users as a % of Total Internet Users | # People | 34 | 174 | 1234 | ||
2 | LinkedIn Users as a % of Total Population | # People | 29 | 154 | 1234 | ||
3 | FB Users / Total Int. Users %. | % People | 76 | 132 | 1231 | ||
4 | FB Users / Total Pop. %. | % People | 60 | 118 | 1230 | ||
5 | LinkedIn users | # People | 5,792,754 | 43 | 1230 | ||
6 | LinkedIn Users as a % of Total LinkedIn Users | # People | 0 | 43 | 1233 |
Wealth Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | GDP (Billions USD) 2022 | $ Billions | 531 | 3 | 1125 | ||
2 | GDP as a % of Total GDP | Percent | 0 | 3 | 1125 | ||
3 | Import of Goods and Services (in Million $) | Amount | 182,282 | 5 | 1128 | ||
4 | Imports/Total Imports of the World %. | 0 | 5 | 1126 | |||
5 | Export of Goods and Services (in Million $) | Amount | 184,833 | 8 | 1126 | ||
6 | Exports /Total Exports of the World %. | 0 | 8 | 1129 | |||
7 | Import Ban(Number of products) | Count | 12 | 9 | 1128 | ||
8 | FDI (millions USD) | Amount | 7,895 | 10 | 1129 | ||
9 | FDI / Total FDI of the World %. | 0 | 10 | 1126 | |||
10 | GDP Per Capita (USD) | $ | 18,253 | 30 | 1127 | ||
Below than World Average- |
|||||||
1 | Corporate Tax Rates in % | Rate | 23 | 122 | 1233 | ||
2 | Imports /Total GDP of the Country %. | 52 | 132 | 1234 | |||
3 | Exports/Total GDP of the Country %. | 45 | 123 | 1232 | |||
4 | No. of Companies Listed in NYSE | Count | 65 | 8 | 1232 |
Education Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Teachers in tertiary edu. | # People | 297,976 | 4 | 1125 | ||
2 | Total Literate Pop. | # People | 34,125,548 | 10 | 1127 | ||
3 | Literacy Rate (%) | % People | 86 | 37 | 1127 | ||
Below than World Average- |
|||||||
1 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 176 | 1233 | ||
2 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 172 | 1234 | ||
3 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 170 | 1234 | ||
4 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 167 | 1235 | ||
5 | # Students per teacher in secondary edu. | Ratio | 57 | 133 | 1232 | ||
6 | # Students per teacher in Primary edu. | Ratio | 260 | 132 | 1235 | ||
7 | # Students per teacher in tertiary edu. | Ratio | 58 | 121 | 1231 | ||
8 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 76 | 1235 | ||
9 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 71 | 1235 | ||
10 | Enrolment in primary edu. | # People | 9,629,078 | 23 | 1232 | ||
11 | Teachers as a % of Enrolment | % People | 41 | 22 | 1232 | ||
12 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 18 | 1235 | ||
13 | Enrolment in secondary edu. | # People | 9,727,510 | 17 | 1234 | ||
14 | Teachers in secondary edu. | # People | 659,923 | 11 | 1234 | ||
15 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 9 | 1230 | ||
16 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 9 | 1230 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Labour Force Participation | # People | 11,624,528 | 6 | 1128 | ||
2 | Employment in Services | # People | 9,747,273 | 6 | 1125 | ||
3 | Formal Jobs | # People | 10,227,722 | 7 | 1125 | ||
4 | Non-Agricultural Labour Force | # People | 14,402,736 | 7 | 1130 | ||
5 | Teachers in primary edu. | # People | 357,113 | 10 | 1126 | ||
6 | Total Labour Force (2021) | # People | 19,636,200 | 10 | 1126 | ||
7 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 14 | 1128 | ||
8 | Total Labour Force/Total Pop. | % People | 43 | 15 | 1129 | ||
9 | Unemployed Labour Force. | # People | 1,648,234 | 20 | 1128 | ||
10 | Employment in Services /Total pop.%. | % People | 24 | 21 | 1130 | ||
11 | Non-Agri Labour force/Total Labour force %. | % People | 75 | 30 | 1129 | ||
12 | Employment in Services / Total Labour Force %. | % People | 55 | 33 | 1128 | ||
13 | Employment in services/Total Labour force %. | % People | 55 | 33 | 1126 | ||
Below than World Average- |
|||||||
1 | Unemployment Rate. | % People | 13 | 171 | 1235 | ||
2 | Employment in Agri. / Total Labour Force % . | % People | 24 | 149 | 1231 | ||
3 | Employment in Agriculture/Total Labour force %. | % People | 24 | 149 | 1234 | ||
4 | Employment in Agriculture /Total Pop. %. | % People | 9 | 146 | 1230 | ||
5 | Employment in Agriculture | # People | 5,233,463 | 54 | 1230 |
Media Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | # Mobile phone numbers | Count | 40,393,496 | 7 | 1129 | ||
2 | # Phone Numbers /Total Pop. % | Percent | 101 | 30 | 1126 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Military Budget (in Billion $) | $ Billion | 15 | 10 | 1128 | ||
2 | Military Budget/Total World Military Budget %. | Percent | 0 | 10 | 1130 | ||
3 | Police Officers | # People | 138,224 | 13 | 1129 | ||
4 | Total Military Force | # People | 122,909 | 20 | 1130 | ||
5 | Military Force/Total World Military Force %. | % People | 0 | 20 | 1126 | ||
Below than World Average- |
|||||||
1 | Military Force/Total Pop. % | % People | 0 | 103 | 1235 | ||
2 | Judges Per 100K | People Per 100K | 11 | 75 | 1235 | ||
3 | Lawyers Per 100K | People Per 100K | 129 | 28 | 1235 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total Population (2021) | # People (In Thousands) | 40,345 | 11 | 1126 | ||
2 | Male Population | # People (In Thousands) | 20,393 | 11 | 1127 | ||
3 | Female Population | # People (In Thousands) | 20,160 | 11 | 1126 | ||
4 | Female % of Total Pop. | % People | 49 | 30 | 1125 | ||
5 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 0 | 30 | 1127 | ||
6 | Births | # People (In Thousands) | 688 | 36 | 1125 | ||
7 | Total Deaths | # People (In Thousands) | 355 | 9 | 1130 | ||
Below than World Average- |
|||||||
1 | Population Growth Rate (%) | % People | 1 | 175 | 1231 | ||
2 | Male % of Total Pop. | % People | 50 | 165 | 1232 | ||
3 | Density ( Pop/Land Area Ratio) | Density | 342 | 27 | 1232 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Rice prod. | Weight | 6,871,329 | 12 | 1125 | ||
2 | Rice Produced/Total Rice Produced.% | Weight | 0 | 12 | 1125 | ||
3 | Tree density. | Density | 22,685 | 14 | 1126 | ||
4 | Forest Area. | Area | 21,142,892 | 23 | 1125 | ||
5 | Country forest area / Global Forest area % | 0 | 23 | 1128 | |||
6 | Number of Trees | Count | 15,642,617,148 | 29 | 1126 | ||
Below than World Average- |
|||||||
1 | Tree density . | Density | 828 | 106 | 1234 | ||
2 | Oil Prod. | 4,369,531 | 81 | 1231 | |||
3 | Onion Produced/Total Onion Produced % | Weight | 0 | 71 | 1233 | ||
4 | Onion prod. | Weight | 759,968 | 72 | 1232 | ||
5 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 59 | 1231 | ||
6 | Natural Gas Prod. | Mass | 216,389 | 59 | 1233 | ||
7 | Honey prod. | Weight | 14,821 | 58 | 1234 | ||
8 | Honey Produced /Total Honey Produced % | Weight | 0 | 58 | 1231 | ||
9 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 52 | 1231 | ||
10 | Wheat prod. | Weight | 6,681,335 | 52 | 1233 | ||
11 | Barley Produced/Total Barley Produced.% | Weight | 1 | 47 | 1230 | ||
12 | Barley prod. | Weight | 1,558,004 | 47 | 1233 | ||
13 | Potatoes prod. | Weight | 2,516,782 | 28 | 1235 | ||
14 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 28 | 1233 | ||
15 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 19 | 1231 | ||
16 | Soyabean prod. | Weight | 3,628,152 | 22 | 1233 | ||
17 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 16 | 1235 | ||
18 | Sweet Potatoes prod. | Weight | 833,178 | 16 | 1231 | ||
19 | Bismuth prod. | Weight | 2,019 | 4 | 1233 |
Japan Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Japanese | 99.02 % |
2 | Korean | 0.5 % |
3 | Standard Chinese | 0.2 % |
4 | English | 0.1 % |
5 | Filipino | 0.1 % |
List of cities having more than 100K population in Japan
Sr. | City | Total City Population (2023) |
---|---|---|
1 | Abiko | 126,378 |
2 | Ageo | 216,265 |
3 | Aizuwakamatsu | 119,176 |
4 | Akashi | 281,759 |
5 | Akishima | 107,076 |
6 | Akita | 303,270 |
7 | Amagasaki | 434,642 |
8 | Anjo | 176,795 |
9 | Aomori | 276,285 |
10 | Asahikawa | 326,126 |
11 | Asaka | 130,892 |
12 | Ashikaga | 143,568 |
13 | Atsugi | 216,745 |
14 | Beppu | 117,255 |
15 | Chiba | 933,338 |
16 | Chigasaki | 229,805 |
17 | Chikusei | 100,450 |
18 | Chikushino | 97,089 |
19 | Chofu | 220,010 |
20 | Daito | 118,312 |
21 | Ebetsu | 115,815 |
22 | Ebina | 125,034 |
23 | Fuchu | 249,972 |
24 | Fuji | 238,544 |
25 | Fujieda | 137,902 |
26 | Fujimi | 103,811 |
27 | Fujimino | 106,596 |
28 | Fujinomiya | 125,610 |
29 | Fujisawa | 407,081 |
30 | Fukaya | 138,094 |
31 | Fukui | 255,350 |
32 | Fukuoka | 1,477,648 |
33 | Fukushima | 282,527 |
34 | Fukuyama | 446,358 |
35 | Funabashi | 598,185 |
36 | Gifu | 390,563 |
37 | Habikino | 108,228 |
38 | Hachinohe | 222,123 |
39 | Hachioji | 554,586 |
40 | Hadano | 160,758 |
41 | Hakodate | 255,446 |
42 | Hakusan | 104,963 |
43 | Hamamatsu | 766,337 |
44 | Handa | 112,262 |
45 | Hatsukaichi | 110,341 |
46 | Higashihiroshima | 185,246 |
47 | Higashikurume | 111,974 |
48 | Higashimurayama | 144,048 |
49 | Higashiomi | 109,669 |
50 | Higashiosaka | 482,850 |
51 | Hikone | 109,189 |
52 | Himeji | 514,445 |
53 | Hino | 178,908 |
54 | Hirakata | 388,162 |
55 | Hiratsuka | 247,955 |
56 | Hirosaki | 170,361 |
57 | Hiroshima | 1,146,625 |
58 | Hitachi | 177,756 |
59 | Hitachinaka | 149,522 |
60 | Hofu | 111,301 |
61 | Ibaraki | 268,890 |
62 | Ichihara | 263,801 |
63 | Ichikawa | 462,587 |
64 | Ichinomiya | 365,787 |
65 | Ichinoseki | 116,775 |
66 | Iida | 97,569 |
67 | Iizuka | 123,978 |
68 | Ikeda | 99,009 |
69 | Ikoma | 113,510 |
70 | Imabari | 151,827 |
71 | Inazawa | 131,468 |
72 | Iruma | 142,512 |
73 | Isahaya | 132,621 |
74 | Ise | 122,729 |
75 | Isehara | 97,473 |
76 | Isesaki | 200,515 |
77 | Ishinomaki | 141,359 |
78 | Itami | 189,088 |
79 | Iwaki | 336,305 |
80 | Iwakuni | 131,372 |
81 | Iwata | 160,566 |
82 | Izumi | 178,716 |
83 | Izumisano | 96,993 |
84 | Izumo | 165,079 |
85 | Joetsu | 189,184 |
86 | Kadoma | 118,696 |
87 | Kagoshima | 576,002 |
88 | Kakamigahara | 138,959 |
89 | Kakegawa | 110,053 |
90 | Kakogawa | 256,790 |
91 | Kamagaya | 104,579 |
92 | Kamakura | 166,136 |
93 | Kanazawa | 447,222 |
94 | Kanoya | 99,489 |
95 | Karatsu | 117,928 |
96 | Kariya | 143,856 |
97 | Kashihara | 119,080 |
98 | Kashiwa | 397,574 |
99 | Kasuga | 106,308 |
100 | Kasugai | 294,339 |
101 | Kasukabe | 223,467 |
102 | Kawachinagano | 102,755 |
103 | Kawagoe | 336,785 |
104 | Kawaguchi | 555,163 |
105 | Kawanishi | 150,194 |
106 | Kawasaki | 1,416,668 |
107 | Kazo | 107,748 |
108 | Kirishima | 120,905 |
109 | Kiryu | 110,149 |
110 | Kisarazu | 128,779 |
111 | Kishiwada | 187,167 |
112 | Kitakyushu | 923,158 |
113 | Kitami | 116,391 |
114 | Kobe | 1,476,304 |
115 | Kochi | 323,821 |
116 | Kodaira | 182,461 |
117 | Kofu | 185,438 |
118 | Koga | 135,309 |
119 | Koganei | 116,583 |
120 | Kokubunji | 117,832 |
121 | Komaki | 143,568 |
122 | Komatsu | 105,539 |
123 | Konosu | 113,414 |
124 | Koriyama | 322,092 |
125 | Koshigaya | 324,109 |
126 | Kuki | 146,257 |
127 | Kumagaya | 190,816 |
128 | Kumamoto | 711,407 |
129 | Kurashiki | 458,170 |
130 | Kure | 219,530 |
131 | Kurume | 292,514 |
132 | Kusatsu | 131,756 |
133 | Kushiro | 167,768 |
134 | Kuwana | 134,733 |
135 | Kyoto | 1,416,668 |
136 | Machida | 415,147 |
137 | Maebashi | 322,860 |
138 | Marugame | 105,635 |
139 | Matsubara | 116,007 |
140 | Matsudo | 464,316 |
141 | Matsue | 198,019 |
142 | Matsumoto | 233,646 |
143 | Matsusaka | 157,397 |
144 | Matsuyama | 494,470 |
145 | Minoh | 128,107 |
146 | Misato | 131,084 |
147 | Mishima | 105,635 |
148 | Mitaka | 179,484 |
149 | Mito | 260,055 |
150 | Miyakonojo | 158,453 |
151 | Miyazaki | 385,185 |
152 | Moriguchi | 137,326 |
153 | Morioka | 285,792 |
154 | Musashino | 138,959 |
155 | Nagahama | 113,510 |
156 | Nagano | 362,618 |
157 | Nagaoka | 264,185 |
158 | Nagareyama | 167,480 |
159 | Nagasaki | 412,459 |
160 | Nagoya | 2,204,517 |
161 | Naha | 306,727 |
162 | Nara | 346,004 |
163 | Narashino | 161,238 |
164 | Narita | 125,994 |
165 | Nasushiobara | 112,454 |
166 | Neyagawa | 228,077 |
167 | Niigata | 778,053 |
168 | Niihama | 115,143 |
169 | Niiza | 155,668 |
170 | Nishinomiya | 468,541 |
171 | Nishio | 161,334 |
172 | Nishitokyo | 192,065 |
173 | Nobeoka | 120,232 |
174 | Noda | 147,506 |
175 | Numazu | 187,839 |
176 | Obihiro | 162,583 |
177 | Odawara | 186,399 |
178 | Ogaki | 153,556 |
179 | Oita | 459,130 |
180 | Okayama | 690,952 |
181 | Okazaki | 365,979 |
182 | Okinawa | 133,773 |
183 | Ome | 131,948 |
184 | Omuta | 112,742 |
185 | Onomichi | 133,101 |
186 | Osaka | 2,584,420 |
187 | Osaki | 128,107 |
188 | Oshu | 114,663 |
189 | Ota | 211,079 |
190 | Otaru | 117,063 |
191 | Otsu | 327,470 |
192 | Oyama | 160,182 |
193 | Saga | 227,020 |
194 | Sagamihara | 692,201 |
195 | Saijo | 103,907 |
196 | Saitama | 1,213,848 |
197 | Sakado | 97,665 |
198 | Sakata | 101,986 |
199 | Sakura | 165,848 |
200 | Sanda | 108,228 |
201 | Sano | 114,182 |
202 | Sapporo | 1,874,934 |
203 | Sasebo | 245,266 |
204 | Sayama | 146,353 |
205 | Sendai | 1,039,261 |
206 | Seto | 123,882 |
207 | Shimonoseki | 257,847 |
208 | Shizuoka | 677,027 |
209 | Shunan | 139,055 |
210 | Soka | 237,200 |
211 | Suita | 359,641 |
212 | Suzuka | 188,607 |
213 | Tachikawa | 169,305 |
214 | Tajimi | 106,020 |
215 | Takamatsu | 404,008 |
216 | Takaoka | 165,272 |
217 | Takarazuka | 215,977 |
218 | Takasaki | 356,184 |
219 | Takatsuki | 337,842 |
220 | Tama | 140,783 |
221 | Tochigi | 152,883 |
222 | Toda | 130,796 |
223 | Tokai | 107,460 |
224 | Tokorozawa | 326,894 |
225 | Tokushima | 248,339 |
226 | Tokyo | 8,904,784 |
227 | Tomakomai | 165,848 |
228 | Tondabayashi | 109,477 |
229 | Toride | 102,370 |
230 | Tottori | 186,014 |
231 | Toyama | 402,087 |
232 | Toyohashi | 359,929 |
233 | Toyokawa | 175,163 |
234 | Toyonaka | 379,808 |
235 | Toyota | 405,736 |
236 | Tsu | 268,794 |
237 | Tsuchiura | 135,213 |
238 | Tsukuba | 217,993 |
239 | Tsuruoka | 124,554 |
240 | Tsuyama | 99,681 |
241 | Ube | 162,679 |
242 | Ueda | 150,579 |
243 | Uji | 177,372 |
244 | Urasoe | 109,669 |
245 | Urayasu | 157,493 |
246 | Uruma | 114,182 |
247 | Utsunomiya | 498,023 |
248 | Wakayama | 349,750 |
249 | Yachiyo | 185,534 |
250 | Yaizu | 133,965 |
251 | Yamagata (city) | 243,730 |
252 | Yamaguchi | 189,568 |
253 | Yamato | 223,659 |
254 | Yao | 258,135 |
255 | Yatsushiro | 122,441 |
256 | Yokkaichi | 298,660 |
257 | Yokohama | 3,577,010 |
258 | Yokosuka | 390,467 |
259 | Yonago | 143,376 |
260 | Zama | 123,594 |
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.