Japan Analytics
LANGUAGES
- Official Language:
- 1. Japanese : 123,396,000
- 2. Korean : 623,000
Mother Tongue : Japanese
Literacy Rate (%) : 1
Country Capital | : | Tokyo |
---|---|---|
GDP Per capita | : | 54,907 |
GDP Per Capita Rank | : | 36th/195 |
Life Expectancy | : | 85 |
Unemployment Rate | : | 0 |
Number of Internet Users | : | 105,361,245 |
Internet Users Rank | : | 8th/195 |
Area | : | 376,824 |
Area Rank | : | 61st/195 |
Total Population | : | 123,103 |
Total Population Rank | : | 12th/195 |
Japan Highlights
Japan is the 12th 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 1st highest ranked in Literacy Rate (%) out of 195 countries in the world. This indicates that there is a better educational infrastructure in this country as compared to other countries.
- 2. The average Teachers in tertiary edu. of 195 countries in the world is 297,976. Japan is the 4th highest ranked country out of 195 countries. This implies better investment by the country in higher education when compared to other countries.
- 3. Out of the 195 countries in the world, Japan is the 4th 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 Honey prod. of the countries in the world is 16,211. Japan is the 133rd worst-ranked country out of 195 countries. This may indicate inferior natural biodiversity 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 | 1128 | ||
2 | Japanese as a % of total Japanese speakers | % People | 0 | 1 | 1130 | ||
3 | Korean | # People | 407,376 | 4 | 1127 | ||
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 | 1130 | ||
Below than World Average- |
|||||||
1 | English as a % of total English speakers | % People | 0 | 34 | 1232 | ||
2 | English | # People | 3,175,743 | 31 | 1233 | ||
3 | Standard Chinese as a % of total Standard Chinese speakers | % People | 0 | 15 | 1230 | ||
4 | Standard Chinese | # People | 6,821,357 | 15 | 1232 | ||
5 | Filipino | # People | 242,148 | 6 | 1232 | ||
6 | Filipino as a % of total Filipino speakers | % People | 0 | 6 | 1234 |
Education Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Literacy Rate (%) | % People | 0 | 1 | 1126 | ||
2 | Teachers in tertiary edu. | # People | 297,976 | 4 | 1128 | ||
3 | Total Literate Pop. | # People | 34,678,001 | 11 | 1127 | ||
Below than World Average- |
|||||||
1 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 176 | 1232 | ||
2 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 172 | 1232 | ||
3 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 170 | 1233 | ||
4 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 167 | 1234 | ||
5 | # Students per teacher in secondary edu. | Ratio | 57 | 133 | 1230 | ||
6 | # Students per teacher in Primary edu. | Ratio | 260 | 132 | 1233 | ||
7 | # Students per teacher in tertiary edu. | Ratio | 58 | 121 | 1232 | ||
8 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 76 | 1235 | ||
9 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 71 | 1233 | ||
10 | Enrolment in primary edu. | # People | 9,629,078 | 23 | 1235 | ||
11 | Teachers as a % of Enrolment | % People | 41 | 22 | 1235 | ||
12 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 18 | 1234 | ||
13 | Enrolment in secondary edu. | # People | 9,727,510 | 17 | 1233 | ||
14 | Teachers in secondary edu. | # People | 659,923 | 11 | 1234 | ||
15 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 9 | 1235 | ||
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 | Employment in Services / Total Labour Force %. | % People | 0 | 1 | 1126 | ||
2 | Wage & Salaried Workers / Total Labour Force % | % People | 0 | 1 | 1128 | ||
3 | Employment in Services | # People | 10,251,634 | 7 | 1128 | ||
4 | Formal Jobs | # People | 10,605,934 | 7 | 1129 | ||
5 | Labour Force Participation | # People | 14,659,929 | 8 | 1129 | ||
6 | Non-Agricultural Labour Force | # People | 15,067,127 | 8 | 1129 | ||
7 | Teachers in primary edu. | # People | 357,113 | 10 | 1125 | ||
8 | Total Labour Force (2023) | # People | 20,409,734 | 10 | 1130 | ||
9 | Total Labour Force/Total Pop. | % People | 43 | 21 | 1126 | ||
10 | Unemployed Labour Force. | # People | 1,511,199 | 21 | 1129 | ||
11 | Employment in Services /Total pop.%. | % People | 25 | 21 | 1128 | ||
12 | Employment in services/Total Labour force %. | % People | 56 | 32 | 1126 | ||
13 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 33 | 1128 | ||
Below than World Average- |
|||||||
1 | Employment in Agriculture/Total Labour force %. | % People | 23 | 146 | 1232 | ||
2 | Employment in Agriculture /Total Pop. %. | % People | 9 | 139 | 1231 | ||
3 | Employment in Agriculture | # People | 5,314,003 | 51 | 1230 |
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Urban Population / Total Population % . | % People | 0 | 1 | 1126 | ||
2 | Pop. with access to Electricity (%) | % People | 0 | 1 | 1125 | ||
3 | # Cities>100000 | # Cities | 23 | 4 | 1129 | ||
4 | # Cities>100000 | # Cities | 21 | 4 | 1125 | ||
5 | # Cities>300000 | # Cities | 7 | 4 | 1126 | ||
6 | # Cities>300000 | # Cities | 8 | 5 | 1130 | ||
7 | # Cities>1M | # Cities | 1 | 6 | 1128 | ||
8 | Urban Population | # People | 23,726,053 | 7 | 1129 | ||
9 | # Cities>1M | # Cities | 2 | 7 | 1127 | ||
10 | # Cities>500000 | # Cities | 4 | 8 | 1128 | ||
11 | # Cities>500000 | # Cities | 5 | 9 | 1125 | ||
12 | # Cities>5M | # Cities | 0 | 9 | 1130 | ||
13 | # Cities>5M | # Cities | 0 | 11 | 1128 | ||
14 | 1M+ Cities per 100000 ( 1M+ Cities/ Tot Pop.)* 100000 | 0 | 38 | 1129 | |||
Below than World Average- |
|||||||
1 | Rural Pop. /Total Pop. % | % People | 40 | 181 | 1232 | ||
2 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 91 | 1235 | |||
3 | Rural Pop. | # People | 18,013,759 | 59 | 1233 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Facebook CPC in Rs. | Absolute | 5 | 1 | 1129 | ||
2 | Twitter users | # People | 3,179,254 | 2 | 1128 | ||
3 | Twitter Users as a % of Total Twitter Users | % People | 0 | 2 | 1127 | ||
4 | Twitter Users as a % of Total Population | % People | 14 | 5 | 1125 | ||
5 | Twitter Users as a % of Total Internet Users | % People | 15 | 5 | 1128 | ||
6 | Internet Users | # People | 28,408,774 | 8 | 1127 | ||
7 | Facebook users | # People | 7,174,483 | 28 | 1127 | ||
8 | Facebook Users as a % of Total facebook Users | % People | 0 | 28 | 1125 | ||
9 | Int. Users / Total Pop.% | % People | 70 | 74 | 1127 | ||
Below than World Average- |
|||||||
1 | LinkedIn Users as a % of Total Internet Users | % People | 33 | 177 | 1231 | ||
2 | LinkedIn Users as a % of Total Population | % People | 30 | 154 | 1232 | ||
3 | FB Users / Total Int. Users %. | % People | 33 | 146 | 1233 | ||
4 | FB Users / Total Pop. %. | % People | 26 | 134 | 1233 | ||
5 | LinkedIn users | # People | 6,064,509 | 40 | 1232 | ||
6 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 40 | 1233 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Buddhist Population | # People | 1,911,974 | 2 | 1126 | ||
2 | Gold Medal | Count | 3 | 3 | 1125 | ||
3 | Total Medals | Count | 12 | 6 | 1128 | ||
4 | Bronze Medal | Count | 4 | 7 | 1125 | ||
5 | Silver Medal | Count | 3 | 8 | 1126 | ||
6 | # Olympic Medals | Count | 157 | 9 | 1128 | ||
7 | World Heritage Sites | Count | 7 | 11 | 1125 | ||
Below than World Average- |
|||||||
1 | Islamic Population | # People | 9,936,734 | 106 | 1234 | ||
2 | Jewish Population | # People | 78,295 | 58 | 1230 |
--- Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Buddhist Pop./Total Buddhist Pop. % | % People | 0 | 2 | 1129 | ||
2 | Buddhist Pop./Total Pop.%. | % People | 3 | 6 | 1126 | ||
Below than World Average- |
|||||||
1 | Islamic Pop./Total Pop.% | % People | 22 | 164 | 1231 | ||
2 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 101 | 1231 | ||
3 | Jewish Pop./Total Jewish Pop. % | % People | 0 | 46 | 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 | 73 | 3 | 1128 | ||
2 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 4 | 1126 | ||
3 | Total No. of Pharmacists | # People | 19,528 | 4 | 1125 | ||
4 | Total Nursing | # People | 163,061 | 5 | 1127 | ||
5 | Nurses(per 10000) | People per 10000 | 164,032 | 5 | 1125 | ||
6 | Total No. of Doctors | # People | 78,502 | 8 | 1125 | ||
7 | Doctors (Per 10,000) | People Per 10,000 | 20 | 65 | 1127 | ||
Below than World Average- |
|||||||
1 | Dentist to doctor ratio | Ratio | 3 | 149 | 1230 | ||
2 | #Dentists | # People | 13,328 | 46 | 1233 | ||
3 | Dentist (per 10,000) | People per 10000 | 12,915 | 46 | 1235 | ||
4 | Nurses to doctor ratio | Ratio | 4 | 34 | 1230 |
Wealth Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | GDP (Billions USD) | $ Billions | 613 | 4 | 1129 | ||
2 | GDP as a % of Total GDP | Percent | 0 | 4 | 1125 | ||
3 | Import of Goods and Services (in Million $) | Amount | 183,299 | 6 | 1127 | ||
4 | Imports/Total Imports of the World %. | 0 | 6 | 1126 | |||
5 | Export of Goods and Services (in Million $) | Amount | 186,399 | 7 | 1126 | ||
6 | Exports /Total Exports of the World %. | 0 | 7 | 1129 | |||
7 | Import Ban(Number of products) | Count | 12 | 9 | 1130 | ||
8 | FDI (millions USD) | Amount | 3,115 | 18 | 1126 | ||
9 | FDI / Total FDI of the World %. | 0 | 18 | 1130 | |||
10 | GDP Per Capita (USD) | $ | 30,070 | 36 | 1130 | ||
Below than World Average- |
|||||||
1 | Imports /Total GDP of the Country %. | 53 | 145 | 1230 | |||
2 | Exports/Total GDP of the Country %. | 46 | 128 | 1234 | |||
3 | No. of Companies Listed in NYSE | Count | 65 | 8 | 1235 |
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 | 1130 | ||
2 | # Phone Numbers /Total Pop. % | Percent | 101 | 30 | 1128 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Military Budget/Total World Military Budget %. | Percent | 0 | 7 | 1126 | ||
2 | Military Budget (in Billion $) | $ Billion | 16 | 10 | 1130 | ||
3 | Police Officers | # People | 138,224 | 13 | 1127 | ||
Below than World Average- |
|||||||
1 | Military Force/Total Pop. % | % People | 1 | 116 | 1234 | ||
2 | Judges Per 100K | People Per 100K | 11 | 72 | 1235 | ||
3 | Lawyers Per 100K | People Per 100K | 160 | 35 | 1230 | ||
4 | Total Military Force | # People | 358,465 | 33 | 1230 | ||
5 | Military Force/Total World Military Force %. | % People | 0 | 33 | 1230 |
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 | 12 | 1130 | ||
2 | Male Population (2025) | # People (In Thousands) | 21,226 | 12 | 1130 | ||
3 | Female Population (2025) | # People (In Thousands) | 20,993 | 12 | 1126 | ||
4 | Density ( Pop/Land Area Ratio) | Density | 312 | 27 | 1129 | ||
5 | Births | # People (In Thousands) | 681 | 39 | 1128 | ||
6 | Female % of Total Pop. | % People | 50 | 43 | 1130 | ||
7 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 1 | 44 | 1125 | ||
8 | Total Deaths | # People (In Thousands) | 319 | 8 | 1126 | ||
Below than World Average- |
|||||||
1 | Male % of Total Pop. | % People | 50 | 153 | 1233 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Rice prod. | Tons | 6,981,685 | 12 | 1128 | ||
2 | Rice Produced/Total Rice Produced.% | Weight | 0 | 12 | 1125 | ||
3 | Tree density. | Density | 22,685 | 14 | 1129 | ||
4 | Onion prod. | Tons | 773,539 | 19 | 1127 | ||
5 | Onion Produced/Total Onion Produced % | Weight | 0 | 19 | 1130 | ||
6 | Forest Area. | Area | 21,142,892 | 23 | 1127 | ||
7 | Number of Trees | Count | 15,642,617,148 | 29 | 1125 | ||
Below than World Average- |
|||||||
1 | Tree density . | Density | 828 | 106 | 1230 | ||
2 | Oil Prod. | Barrels/day | 4,369,531 | 81 | 1232 | ||
3 | Honey prod. | Tons | 16,211 | 63 | 1232 | ||
4 | Honey Produced /Total Honey Produced % | Weight | 0 | 63 | 1233 | ||
5 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 59 | 1231 | ||
6 | Natural Gas Prod. | Million cubic meters | 216,389 | 59 | 1235 | ||
7 | Wheat Produced /Total Wheat Produced. %. | Weight | 0 | 52 | 1235 | ||
8 | Wheat prod. | Tons | 6,698,590 | 52 | 1234 | ||
9 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 51 | 1232 | ||
10 | Sugarcane prod. | Tons | 52,039,862 | 51 | 1234 | ||
11 | Barley prod. | Tons | 1,576,534 | 49 | 1231 | ||
12 | Barley Produced/Total Barley Produced.% | Weight | 1 | 49 | 1231 | ||
13 | Potatoes prod. | Tons | 2,538,925 | 28 | 1233 | ||
14 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 28 | 1233 | ||
15 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 21 | 1231 | ||
16 | Soyabean prod. | Tons | 3,684,006 | 25 | 1233 | ||
17 | Sweet Potatoes prod. | Tons | 895,180 | 17 | 1232 | ||
18 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 17 | 1230 | ||
19 | Bismuth prod. | Tons | 2,019 | 4 | 1232 |
Japan Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Japanese | 100.24 % |
2 | Korean | 0.51 % |
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.