Indonesia Analytics
LANGUAGES
- Official Language:
- 1. Indonesian
: 21,823,320
- 2. Malay
: 17,449,929
Mother Tongue : Indonesian
Literacy Rate (%) : 96
Country Capital | : | Phnom Penh |
---|---|---|
GDP Per capita | : | 4,787 |
GDP Per Capita Rank | : | 110th/195 |
Life Expectancy | : | 67 |
Unemployment Rate | : | 5 |
Number of Internet Users | : | 167,400,000 |
Internet Users Rank | : | 5th/195 |
Area | : | 99 |
Area Rank | : | 88th/195 |
Total Population | : | 273,753 |
Total Population Rank | : | 4th/195 |
Continent: South East Asia and Oceania
Indonesia Highlights
Indonesia is the 4th ranked country in population and 88th 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. Indonesia is the 1st highest ranked in Nickel prod. out of 195 countries in the world. This implies that the country has a robust Stainless Steel production industry or be a huge exporter of Nickel.
- 2. The average Tin prod. of 195 countries in the world is 23,069. Indonesia is the 2nd highest ranked country out of 195 countries. This implies that the country has a robust automotive industry or be a huge exporter of Tin.
- 3. Out of the 195 countries in the world, Indonesia is the 3rd highest ranked in Enrolment in secondary edu. . This may take into context a higher country population, or imply that more people in this country pursue secondary education when compared to other countries.
Worse than World Average-
- 1. Indonesia is the 68th worst ranked in Doctors (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 Pharmacists (Per 10,000) of the countries in the world is 4. Indonesia is the 80th 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, Indonesia is the 86th worst ranked in GDP Per Capita (USD) . This implies that this country is a developing country.
Indonesia Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Indonesian | # People | 113,434 | 1 | 1125 | ||
2 | Malay | # People | 162,307 | 1 | 1125 | ||
3 | Icelandic as a % of total Icelandic speakers | % People | 0 | 1 | 1129 | ||
4 | Indonesian as a % of total Indonesian speakers | % People | 0 | 1 | 1129 | ||
5 | Malay as a % of total Malay speakers | % People | 0 | 1 | 1128 | ||
Below than World Average- |
|||||||
1 | Dutch | # People | 91,018 | 12 | 1232 | ||
2 | Dutch as a % of total Dutch speakers | % People | 0 | 12 | 1232 | ||
3 | Standard Chinese | # People | 6,821,357 | 7 | 1230 | ||
4 | Standard Chinese as a % of total Standard Chinese speakers | % People | 0 | 4 | 1230 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Islamic Population | # People | 9,744,062 | 1 | 1127 | ||
2 | Christian Population | # People | 11,763,461 | 25 | 1129 | ||
3 | World Heritage Sites | Count | 7 | 31 | 1129 | ||
Below than World Average- |
|||||||
1 | Bronze Medal | Count | 4 | 49 | 1231 | ||
2 | Total Medals | Count | 12 | 51 | 1230 | ||
3 | # Olympic Medals | Count | 126 | 48 | 1232 | ||
4 | Gold Medal | Count | 3 | 29 | 1230 | ||
5 | Hindu Population | # People | 6,158,261 | 5 | 1232 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Nickel prod. | Weight | 376,142 | 1 | 1128 | ||
2 | Nickel Produced/Total Nickel Produced % | Weight | 14 | 1 | 1128 | ||
3 | Tin prod. | Weight | 23,069 | 2 | 1129 | ||
4 | Tin Produced/Total Tin Produced in 2019 | Weight | 7 | 2 | 1129 | ||
5 | Rice prod. | Weight | 6,871,329 | 4 | 1126 | ||
6 | Rice Produced/Total Rice Produced.% | Weight | 0 | 4 | 1130 | ||
7 | Number of Trees | Count | 15,642,617,148 | 7 | 1127 | ||
8 | Forest Area. | Area | 21,142,892 | 8 | 1125 | ||
9 | Country forest area / Global Forest area % | 0 | 8 | 1129 | |||
10 | Sweet Potatoes prod. | Weight | 833,178 | 13 | 1125 | ||
11 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 13 | 1125 | ||
12 | Tree density. | Density | 22,685 | 30 | 1127 | ||
Below than World Average- |
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1 | Tree density . | Density | 828 | 77 | 1230 | ||
2 | Potatoes prod. | Weight | 2,516,782 | 33 | 1230 | ||
3 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 33 | 1233 | ||
4 | Oil Prod. | 4,369,531 | 24 | 1235 | |||
5 | Oil Prodcuced/Total Oil Produced % | 5 | 24 | 1232 | |||
6 | Soyabean prod. | Weight | 3,628,152 | 18 | 1231 | ||
7 | Soyabean Produced/Total Soyabean Produced % | Weight | 1 | 17 | 1233 | ||
8 | Natural Gas Prod. | Mass | 216,389 | 14 | 1232 | ||
9 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 14 | 1235 | ||
10 | Gold Prod. | Weight | 125 | 12 | 1234 | ||
11 | Gold Produced/Total Gold Produced %. | 4 | 12 | 1234 | |||
12 | Bauxite prod. | Weight | 27,930 | 5 | 1233 | ||
13 | Copper prod. | Weight | 1,350 | 5 | 1231 | ||
14 | Bauxite Produced/Total Bauxite Produced % | Weight | 7 | 5 | 1235 | ||
15 | Copper Produced /Total Copper Produced % | Weight | 9 | 5 | 1234 |
--- Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 1 | 1125 | ||
2 | Islamic Pop./Total Pop.% | % People | 22 | 11 | 1125 | ||
3 | Christian Pop./Total Christian Pop.% | % People | 0 | 25 | 1125 | ||
Below than World Average- |
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1 | Christian Pop./Total Pop.% | % People | 42 | 119 | 1231 | ||
2 | Hindu Pop./Total Pop.%. | % People | 2 | 20 | 1234 | ||
3 | Hindu Pop./Total Hindu Pop.% | % People | 0 | 4 | 1235 |
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | # Cities>10M | # Cities | 0 | 2 | 1125 | ||
2 | # Cities>10M | # Cities | 0 | 4 | 1126 | ||
3 | Rural Pop. | # People | 18,013,759 | 4 | 1127 | ||
4 | Urban Population (2021) | # People | 22,563,215 | 5 | 1128 | ||
5 | # Cities>1M | # Cities | 2 | 5 | 1128 | ||
6 | # Cities>1M | # Cities | 1 | 5 | 1129 | ||
7 | # Cities>500000 | # Cities | 4 | 7 | 1128 | ||
8 | 10M+ Cities Ratio ( 10M+ Cities/ # Cities> 100000) | 0 | 7 | 1130 | |||
9 | # Cities>500000 | # Cities | 5 | 8 | 1128 | ||
10 | # Cities>300000 | # Cities | 7 | 9 | 1126 | ||
11 | # Cities>5M | # Cities | 0 | 9 | 1128 | ||
12 | # Cities>300000 | # Cities | 8 | 10 | 1126 | ||
13 | # Cities>100000 | # Cities | 21 | 10 | 1127 | ||
14 | # Cities>100000 | # Cities | 23 | 11 | 1129 | ||
15 | # Cities>5M | # Cities | 0 | 11 | 1126 | ||
16 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 42 | 1128 | |||
17 | Rural Pop. /Total Pop. % | % People | 41 | 91 | 1127 | ||
18 | Pop. with access to Electricity (%) | % People | 85 | 115 | 1125 | ||
Below than World Average- |
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1 | Urban Population / Total Population % . | % People | 59 | 109 | 1233 | ||
2 | 1M+ Cities per 100000 ( 1M+ Cities/ Tot Pop.)* 100000 | 0 | 75 | 1230 |
Education Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Enrolment in secondary edu. | # People | 9,727,510 | 3 | 1128 | ||
2 | Enrolment in primary edu. | # People | 9,629,078 | 4 | 1126 | ||
3 | Total Literate Pop. | # People | 34,125,548 | 4 | 1125 | ||
4 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 4 | 1127 | ||
5 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 4 | 1129 | ||
6 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 5 | 1130 | ||
7 | Teachers in secondary edu. | # People | 659,923 | 7 | 1130 | ||
8 | Literacy Rate (%) | % People | 86 | 91 | 1129 | ||
Below than World Average- |
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1 | # Students per teacher in Primary edu. | Ratio | 260 | 109 | 1235 | ||
2 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 94 | 1233 | ||
3 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 87 | 1230 | ||
4 | Teachers as a % of Enrolment | % People | 41 | 84 | 1232 | ||
5 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 76 | 1234 | ||
6 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 76 | 1232 | ||
7 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 54 | 1234 | ||
8 | # Students per teacher in secondary edu. | Ratio | 57 | 50 | 1234 | ||
9 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 34 | 1230 | ||
10 | # Students per teacher in tertiary edu. | Ratio | 58 | 18 | 1231 | ||
11 | Teachers in tertiary edu. | # People | 297,976 | 9 | 1232 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Teachers in primary edu. | # People | 357,113 | 3 | 1126 | ||
2 | Labour Force Participation | # People | 11,624,528 | 3 | 1130 | ||
3 | Employment in Agriculture | # People | 5,233,463 | 3 | 1130 | ||
4 | Total Labour Force (2021) | # People | 19,636,200 | 4 | 1128 | ||
5 | Employment in Services | # People | 9,747,273 | 5 | 1128 | ||
6 | Non-Agricultural Labour Force | # People | 14,402,736 | 5 | 1127 | ||
7 | Unemployed Labour Force. | # People | 1,648,234 | 6 | 1127 | ||
8 | Formal Jobs | # People | 10,227,722 | 6 | 1127 | ||
9 | Employment in Agriculture /Total Pop. %. | % People | 9 | 50 | 1127 | ||
10 | Total Labour Force/Total Pop. | % People | 43 | 61 | 1125 | ||
11 | Employment in Agri. / Total Labour Force % . | % People | 24 | 66 | 1126 | ||
12 | Employment in Agriculture/Total Labour force %. | % People | 24 | 66 | 1125 | ||
Below than World Average- |
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1 | Employment in Services / Total Labour Force %. | % People | 55 | 117 | 1234 | ||
2 | Employment in services/Total Labour force %. | % People | 55 | 117 | 1231 | ||
3 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 116 | 1230 | ||
4 | Non-Agri Labour force/Total Labour force %. | % People | 75 | 113 | 1230 | ||
5 | Unemployment Rate. | % People | 13 | 106 | 1232 | ||
6 | Employment in Services /Total pop.%. | % People | 24 | 88 | 1234 |
Media Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | # Mobile phone numbers | Count | 40,393,496 | 3 | 1129 | ||
2 | # Phone Numbers /Total Pop. % | Percent | 101 | 5 | 1128 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
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1 | Total Population (2021) | # People (In Thousands) | 40,345 | 4 | 1127 | ||
2 | Male Population | # People (In Thousands) | 20,393 | 4 | 1130 | ||
3 | Female Population | # People (In Thousands) | 20,160 | 4 | 1127 | ||
4 | Births | # People (In Thousands) | 688 | 5 | 1129 | ||
5 | Male % of Total Pop. | % People | 50 | 46 | 1125 | ||
6 | Total Deaths | # People (In Thousands) | 355 | 5 | 1129 | ||
Below than World Average- |
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1 | Female % of Total Pop. | % People | 49 | 149 | 1232 | ||
2 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 0 | 149 | 1230 | ||
3 | Population Growth Rate (%) | % People | 1 | 115 | 1232 | ||
4 | Density ( Pop/Land Area Ratio) | Density | 342 | 64 | 1232 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Facebook users | # People | 17,943,893 | 4 | 1129 | ||
2 | Twitter users | # People | 3,240,046 | 4 | 1127 | ||
3 | Twitter Users as a % of Total Twitter Users | # People | 0 | 4 | 1125 | ||
4 | Internet Users | # People | 25,030,008 | 5 | 1126 | ||
5 | LinkedIn users | # People | 5,792,754 | 6 | 1128 | ||
6 | LinkedIn Users as a % of Total LinkedIn Users | # People | 0 | 6 | 1127 | ||
7 | FB Users / Total Int. Users %. | % People | 76 | 18 | 1129 | ||
8 | FB Users / Total Pop. %. | % People | 60 | 101 | 1127 | ||
Below than World Average- |
|||||||
1 | Int. Users / Total Pop.% | % People | 66 | 128 | 1230 | ||
2 | LinkedIn Users as a % of Total Internet Users | # People | 34 | 110 | 1234 | ||
3 | LinkedIn Users as a % of Total Population | # People | 29 | 108 | 1230 | ||
4 | Twitter Users as a % of Total Population | # People | 14 | 79 | 1233 | ||
5 | Twitter Users as a % of Total Internet Users | # People | 16 | 71 | 1233 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total No. of Pharmacists | # People | 14,339 | 5 | 1129 | ||
2 | Total Nursing | # People | 163,061 | 11 | 1125 | ||
3 | Total No. of Doctors | # People | 73,975 | 16 | 1129 | ||
4 | #Dentists | # People | 13,328 | 19 | 1129 | ||
5 | No. of people HIV infected/Total pop. | # People | 11,349 | 7 | 1126 | ||
Below than World Average- |
|||||||
1 | Life Expectancy at Birth, both sexes | Age | 71 | 134 | 1235 | ||
2 | Doctors (Per 10,000) | People Per 10,000 | 20 | 128 | 1233 | ||
3 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 116 | 1231 | ||
4 | Nurses(per 10000) | People per 10000 | 44 | 115 | 1235 | ||
5 | Dentist (per 10,000) | People per 10000 | 31 | 113 | 1230 | ||
6 | Dentist to doctor ratio | Ratio | 3 | 109 | 1234 | ||
7 | Nurses to doctor ratio | Ratio | 2 | 59 | 1235 | ||
8 | HIV Infections (Per 1000) | People Per 1,000 | 0 | 49 | 1233 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Police Officers | # People | 138,224 | 7 | 1130 | ||
2 | Total Military Force | # People | 122,909 | 13 | 1126 | ||
3 | Military Force/Total World Military Force %. | % People | 0 | 13 | 1126 | ||
Below than World Average- |
|||||||
1 | Military Force/Total Pop. % | % People | 0 | 125 | 1235 | ||
2 | Military Budget/Total World Military Budget %. | Percent | 0 | 30 | 1235 | ||
3 | Military Budget (in Billion $) | $ Billion | 15 | 30 | 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 | 12 | 1128 | ||
2 | GDP (Billions USD) 2022 | $ Billions | 531 | 16 | 1128 | ||
3 | GDP as a % of Total GDP | Percent | 0 | 16 | 1127 | ||
4 | Corporate Tax Rates in % | Rate | 23 | 19 | 1130 | ||
5 | FDI (millions USD) | Amount | 7,895 | 21 | 1128 | ||
6 | FDI / Total FDI of the World %. | 0 | 21 | 1126 | |||
7 | Export of Goods and Services (in Million $) | Amount | 184,833 | 27 | 1127 | ||
8 | Exports /Total Exports of the World %. | 0 | 27 | 1127 | |||
9 | Import of Goods and Services (in Million $) | Amount | 182,282 | 28 | 1129 | ||
10 | Imports/Total Imports of the World %. | 0 | 28 | 1128 | |||
Below than World Average- |
|||||||
1 | Imports /Total GDP of the Country %. | 52 | 143 | 1231 | |||
2 | Exports/Total GDP of the Country %. | 45 | 118 | 1234 | |||
3 | GDP Per Capita (USD) | $ | 18,253 | 110 | 1230 | ||
4 | No. of Companies Listed in NYSE | Count | 65 | 28 | 1232 |
Indonesia Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Indonesian | 7.97 % |
2 | Malay | 6.37 % |
3 | Standard Chinese | 0.7 % |
List of cities having more than 100K population in Indonesia
Sr. | City | Total City Population (2023) |
---|---|---|
1 | Ambon | 466,965 |
2 | Balikpapan | 667,693 |
3 | Banda Aceh | 272,851 |
4 | Bandar Lampung | 1,066,524 |
5 | Banjarmasin | 727,324 |
6 | Bandung | 2,622,376 |
7 | Banjar | 210,988 |
8 | Banjarbaru | 266,072 |
9 | Banjarmasin | 690,436 |
10 | Batam | 1,347,145 |
11 | Batu | 223,663 |
12 | Bau-Bau | 167,184 |
13 | Bekasi | 2,670,433 |
14 | Bengkulu | 386,443 |
15 | Bima | 162,871 |
16 | Binjai | 284,400 |
17 | Bitung | 222,984 |
18 | Blitar | 140,678 |
19 | Bogor | 187,833 |
20 | Bontang | 147,803 |
21 | Bukittinggi | 127,059 |
22 | Cilegon | 456,568 |
23 | Cimahi | 596,725 |
24 | Cirebon | 328,912 |
25 | Denpasar | 959,861 |
26 | Depok | 2,158,806 |
27 | Dumai | 332,568 |
28 | Gorontalo | 221,305 |
29 | Gunungsitoli | 142,795 |
30 | Jakarta | 10,891,168 |
31 | Jambi | 620,556 |
32 | Jayapura | 308,336 |
33 | Kediri | 298,152 |
34 | Kendari | 362,304 |
35 | Kotamobagu | 129,887 |
36 | Kupang | 464,822 |
37 | Langsa | 195,238 |
38 | Lhokseumawe | 198,117 |
39 | Lubuklinggau | 245,835 |
40 | Madiun | 184,875 |
41 | Magelang | 127,555 |
42 | Makasar | 1,563,200 |
43 | Malang | 904,325 |
44 | Manado | 451,533 |
45 | Mataram | 491,846 |
46 | Medan | 2,359,393 |
47 | Metro | 152,589 |
48 | Mojokerto | 177,081 |
49 | Padang | 973,194 |
50 | Padang Sidempuan | 236,322 |
51 | Pagar Alam | 151,012 |
52 | Palangkaraya | 289,439 |
53 | Palembang | 1,703,982 |
54 | Palopo | 193,884 |
55 | Palu | 391,816 |
56 | Pangkal Pinang | 214,586 |
57 | Pare Pare | 149,181 |
58 | Pasuruan | 207,552 |
59 | Payakumbuh | 146,531 |
60 | Pekalongan | 316,944 |
61 | Pekanbaru | 1,145,472 |
62 | Pematang Siantar | 264,033 |
63 | Pontianak | 658,245 |
64 | Prabumulih | 202,823 |
65 | Probolinggo | 244,716 |
66 | Purwakarta | 188,165 |
67 | Salatiga | 198,313 |
68 | Samarinda | 885,428 |
69 | Semarang | 1,845,290 |
70 | Serang | 726,590 |
71 | Singkawang | 246,778 |
72 | Sukabumi | 339,936 |
73 | Surabaya | 3,017,952 |
74 | Surakarta | 541,818 |
75 | Sorong | 298,583 |
76 | South Tangerang | 1,421,840 |
77 | Tangerang | 2,246,536 |
78 | Tanjung Balai | 179,731 |
79 | Tanjungpinang | 239,008 |
80 | Tarakan | 254,885 |
81 | Tasikmalaya | 751,843 |
82 | Tebing Tinggi | 168,708 |
83 | Tegal | 260,463 |
84 | Ternate | 215,217 |
85 | Tidore | 120,185 |
86 | Tomohon | 105,599 |
87 | Yogyakarta | 443,764 |
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.