Philippines Analytics
LANGUAGES
- Official Language:
- 1. Filipino
: 43,797,000
- 2. English
: 3,403,000
Mother Tongue : Filipino
Literacy Rate (%) : 96
Country Capital | : | Manila |
---|---|---|
GDP Per capita | : | 12,913 |
GDP Per Capita Rank | : | 113th/195 |
Life Expectancy | : | 69 |
Unemployment Rate | : | 2 |
Number of Internet Users | : | 86,770,564 |
Internet Users Rank | : | 9th/195 |
Area | : | 300,000 |
Area Rank | : | 71st/195 |
Total Population | : | 116,787 |
Total Population Rank | : | 14th/195 |
Philippines Highlights
Philippines is the 14th ranked country in population and 71st 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. Philippines is the 7th highest ranked in Facebook users out of 195 countries in the world. This may take into context a higher country population, or may simply imply that this country has more social media popularity, or may have a higher youth demographic.
- 2. The average Teachers in primary edu. of 195 countries in the world is 357,113. Philippines is the 7th highest ranked country out of 195 countries. This implies better investment by the country in primary education when compared to other countries.
- 3. Out of the 195 countries in the world, Philippines is the 8th highest ranked in Rice prod. . This is indicative of a more fertile land, suitable for producing high quantities of rice when compared to other countries.
Worse than World Average-
- 1. Philippines is the 11th worst ranked in #Dentists 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 Doctors (Per 10,000) of the countries in the world is 20. Philippines is the 70th 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, Philippines is the 83rd worst ranked in GDP Per Capita (USD) . This implies that this country is a developing country.
Philippines Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Filipino | # People | 242,148 | 1 | 1128 | ||
2 | Filipino as a % of total Filipino speakers | % People | 0 | 1 | 1125 | ||
3 | Indonesian as a % of total Indonesian speakers | % People | 0 | 2 | 1127 | ||
4 | Mandarin Chinese as a % of total Mandarin Chinese speakers | % People | 0 | 5 | 1126 | ||
5 | English | # People | 3,175,743 | 13 | 1128 | ||
6 | English as a % of total English speakers | % People | 0 | 15 | 1129 | ||
Below than World Average- |
|||||||
1 | Standard Chinese as a % of total Standard Chinese speakers | % People | 0 | 10 | 1235 | ||
2 | Standard Chinese | # People | 6,821,357 | 6 | 1235 | ||
3 | Icelandic as a % of total Icelandic speakers | % People | 0 | 3 | 1230 | ||
4 | Indonesian | # People | 113,434 | 2 | 1235 |
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | # Cities>100000 | # Cities | 23 | 5 | 1126 | ||
2 | # Cities>100000 | # Cities | 21 | 5 | 1126 | ||
3 | # Cities>300000 | # Cities | 7 | 8 | 1125 | ||
4 | # Cities>300000 | # Cities | 8 | 9 | 1125 | ||
5 | # Cities>500000 | # Cities | 5 | 11 | 1130 | ||
6 | # Cities>500000 | # Cities | 4 | 11 | 1129 | ||
7 | Rural Pop. | # People | 18,013,759 | 12 | 1128 | ||
8 | Urban Population | # People | 23,726,053 | 17 | 1126 | ||
9 | # Cities>1M | # Cities | 1 | 17 | 1125 | ||
10 | # Cities>1M | # Cities | 2 | 20 | 1125 | ||
11 | Rural Pop. /Total Pop. % | % People | 40 | 62 | 1127 | ||
12 | Pop. with access to Electricity (%) | % People | 86 | 128 | 1126 | ||
13 | Pop. without Electricity access | # People | 3,455,508 | 33 | 1126 | ||
Below than World Average- |
|||||||
1 | Urban Population / Total Population % . | % People | 60 | 133 | 1232 | ||
2 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 106 | 1233 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Population | # People | 11,885,917 | 5 | 1128 | ||
Below than World Average- |
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1 | Jewish Population | # People | 78,295 | 77 | 1232 | ||
2 | # Olympic Medals | Count | 157 | 71 | 1234 | ||
3 | World Heritage Sites | Count | 7 | 59 | 1233 | ||
4 | Islamic Population | # People | 9,936,734 | 37 | 1234 |
--- Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Pop./Total Christian Pop.% | % People | 0 | 5 | 1125 | ||
2 | Christian Pop./Total Pop.% | % People | 42 | 32 | 1126 | ||
Below than World Average- |
|||||||
1 | Islamic Pop./Total Pop.% | % People | 22 | 85 | 1235 | ||
2 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 37 | 1233 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Facebook users | # People | 7,174,483 | 7 | 1126 | ||
2 | Facebook Users as a % of Total facebook Users | % People | 0 | 7 | 1126 | ||
3 | Internet Users | # People | 28,408,774 | 9 | 1129 | ||
4 | LinkedIn users | # People | 6,064,509 | 12 | 1130 | ||
5 | LinkedIn Users as a % of Total LinkedIn Users | % People | 0 | 12 | 1126 | ||
6 | Twitter users | # People | 3,179,254 | 17 | 1130 | ||
7 | Twitter Users as a % of Total Twitter Users | % People | 0 | 17 | 1125 | ||
8 | FB Users / Total Int. Users %. | % People | 33 | 22 | 1129 | ||
9 | FB Users / Total Pop. %. | % People | 26 | 43 | 1126 | ||
10 | Int. Users / Total Pop.% | % People | 70 | 107 | 1127 | ||
Below than World Average- |
|||||||
1 | Facebook CPC in Rs. | Absolute | 5 | 122 | 1232 | ||
2 | LinkedIn Users as a % of Total Internet Users | % People | 33 | 100 | 1235 | ||
3 | LinkedIn Users as a % of Total Population | % People | 30 | 98 | 1230 | ||
4 | Twitter Users as a % of Total Population | % People | 14 | 86 | 1234 | ||
5 | Twitter Users as a % of Total Internet Users | % People | 15 | 86 | 1231 |
Work Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Teachers in primary edu. | # People | 357,113 | 7 | 1129 | ||
2 | Formal Jobs | # People | 10,605,934 | 12 | 1127 | ||
3 | Labour Force Participation | # People | 14,659,929 | 13 | 1126 | ||
4 | Employment in Agriculture | # People | 5,314,003 | 13 | 1128 | ||
5 | Employment in Services | # People | 10,251,634 | 13 | 1125 | ||
6 | Non-Agricultural Labour Force | # People | 15,067,127 | 13 | 1129 | ||
7 | Total Labour Force (2023) | # People | 20,409,734 | 14 | 1125 | ||
8 | Employment in Agriculture /Total Pop. %. | % People | 9 | 68 | 1128 | ||
9 | Employment in Services / Total Labour Force %. | % People | 56 | 88 | 1126 | ||
10 | Employment in services/Total Labour force %. | % People | 56 | 88 | 1128 | ||
11 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 90 | 1129 | ||
12 | Non-Agri Labour force/Total Labour force %. | % People | 76 | 97 | 1126 | ||
Below than World Average- |
|||||||
1 | Unemployment Rate. | % People | 7 | 120 | 1233 | ||
2 | Total Labour Force/Total Pop. | % People | 43 | 105 | 1233 | ||
3 | Employment in Services /Total pop.%. | % People | 25 | 84 | 1234 | ||
4 | Employment in Agri. / Total Labour Force % . | % People | 23 | 78 | 1231 | ||
5 | Employment in Agriculture/Total Labour force %. | % People | 23 | 78 | 1232 | ||
6 | Unemployed Labour Force. | # People | 1,511,199 | 28 | 1235 |
Wealth Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Import Ban(Number of products) | Count | 12 | 8 | 1127 | ||
2 | FDI (millions USD) | Amount | 3,115 | 28 | 1130 | ||
3 | FDI / Total FDI of the World %. | 0 | 28 | 1128 | |||
4 | Corporate Tax Rates in % | Rate | 23 | 74 | 1125 | ||
Below than World Average- |
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1 | GDP Per Capita (USD) | $ | 30,070 | 113 | 1234 | ||
2 | Exports/Total GDP of the Country %. | 46 | 113 | 1232 | |||
3 | Imports /Total GDP of the Country %. | 53 | 90 | 1234 | |||
4 | Export of Goods and Services (in Million $) | Amount | 186,399 | 43 | 1230 | ||
5 | Exports /Total Exports of the World %. | 0 | 43 | 1232 | |||
6 | No. of Companies Listed in NYSE | Count | 65 | 32 | 1235 | ||
7 | Import of Goods and Services (in Million $) | Amount | 183,299 | 33 | 1233 | ||
8 | Imports/Total Imports of the World %. | 0 | 33 | 1234 | |||
9 | GDP (Billions USD) | $ Billions | 613 | 31 | 1233 | ||
10 | GDP as a % of Total GDP | Percent | 0 | 31 | 1234 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Rice prod. | Tons | 6,981,685 | 8 | 1125 | ||
2 | Rice Produced/Total Rice Produced.% | Weight | 0 | 8 | 1127 | ||
Below than World Average- |
|||||||
1 | Nickel Produced/Total Nickel Produced % | Weight | 14 | 2 | 1230 | ||
2 | Tree density . | Density | 828 | 137 | 1232 | ||
3 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 100 | 1233 | ||
4 | Potatoes prod. | Tons | 2,538,925 | 102 | 1234 | ||
5 | Tree density. | Density | 22,685 | 97 | 1233 | ||
6 | Oil Prod. | Barrels/day | 4,369,531 | 89 | 1233 | ||
7 | Soyabean prod. | Tons | 3,684,006 | 88 | 1232 | ||
8 | Forest Area. | Area | 21,142,892 | 62 | 1235 | ||
9 | Country forest area / Global Forest area % | 0 | 62 | 1231 | |||
10 | Natural Gas Prod. | Million cubic meters | 216,389 | 58 | 1234 | ||
11 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 56 | 1232 | ||
12 | Number of Trees | Count | 15,642,617,148 | 55 | 1235 | ||
13 | Onion prod. | Tons | 773,539 | 51 | 1231 | ||
14 | Onion Produced/Total Onion Produced % | Weight | 0 | 50 | 1235 | ||
15 | Sweet Potatoes prod. | Tons | 895,180 | 22 | 1233 | ||
16 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 21 | 1231 | ||
17 | Sugarcane prod. | Tons | 52,039,862 | 12 | 1232 | ||
18 | Sugarcane Produced/Total Sugarcane Produced.% | Weight | 2 | 12 | 1231 | ||
19 | Nickel prod. | Tons | 376,142 | 2 | 1235 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total Military Force | # People | 358,465 | 9 | 1129 | ||
2 | Military Force/Total World Military Force %. | % People | 0 | 9 | 1127 | ||
3 | Police Officers | # People | 138,224 | 20 | 1130 | ||
4 | Military Force/Total Pop. % | % People | 1 | 31 | 1125 | ||
Below than World Average- |
|||||||
1 | Judges Per 100K | People Per 100K | 11 | 77 | 1233 | ||
2 | Military Budget (in Billion $) | $ Billion | 15 | 48 | 1234 | ||
3 | Military Budget/Total World Military Budget %. | Percent | 0 | 47 | 1233 |
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 | 10 | 1128 | ||
2 | Total Literate Pop. | # People | 34,678,001 | 12 | 1130 | ||
3 | Enrolment in primary edu. | # People | 9,629,078 | 13 | 1127 | ||
4 | Literacy Rate (%) | % People | 86 | 88 | 1127 | ||
Below than World Average- |
|||||||
1 | Teachers as a % of Enrolment | % People | 41 | 96 | 1232 | ||
2 | # Students per teacher in Primary edu. | Ratio | 260 | 92 | 1231 | ||
3 | Enrolment in Primary Edu./ Total Literate Pop %. | % People | 36 | 80 | 1235 | ||
4 | Enrolment in Primary Edu./Total Pop %. | % People | 27 | 69 | 1233 | ||
5 | Enrolment in Tertiary Edu/Total Literate Pop. %. | % People | 9 | 69 | 1235 | ||
6 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 66 | 1235 | ||
7 | Enrolment in Secondary Edu./Total Literate Pop. | % People | 28 | 29 | 1235 | ||
8 | # Students per teacher in secondary edu. | Ratio | 57 | 29 | 1230 | ||
9 | # Students per teacher in tertiary edu. | Ratio | 58 | 27 | 1231 | ||
10 | Teachers in tertiary edu. | # People | 297,976 | 18 | 1235 | ||
11 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 16 | 1234 | ||
12 | Teachers in secondary edu. | # People | 659,923 | 15 | 1233 | ||
13 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 12 | 1235 | ||
14 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 12 | 1231 | ||
15 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 10 | 1233 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total Nursing | # People | 163,061 | 10 | 1128 | ||
2 | Nurses(per 10000) | People per 10000 | 164,032 | 10 | 1126 | ||
3 | Total No. of Pharmacists | # People | 19,528 | 11 | 1127 | ||
4 | Total No. of Doctors | # People | 78,648 | 29 | 1126 | ||
5 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 69 | 1129 | ||
6 | No. of people HIV infected/Total pop. | # People | 5,202 | 10 | 1129 | ||
Below than World Average- |
|||||||
1 | #Dentists | # People | 13,328 | 184 | 1234 | ||
2 | Life Expectancy at Birth, both sexes | Age | 73 | 132 | 1235 | ||
3 | Doctors (Per 10,000) | People Per 10,000 | 20 | 126 | 1232 | ||
4 | Nurses to doctor ratio | Ratio | 46 | 74 | 1234 | ||
5 | HIV Infections (Per 1000) | People Per 1,000 | 0 | 46 | 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 | 13 | 1128 | ||
2 | # Phone Numbers /Total Pop. % | Percent | 101 | 100 | 1125 |
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 | 14 | 1130 | ||
2 | Male Population (2025) | # People (In Thousands) | 21,226 | 14 | 1126 | ||
3 | Female Population (2025) | # People (In Thousands) | 20,993 | 14 | 1129 | ||
4 | Births | # People (In Thousands) | 681 | 14 | 1127 | ||
5 | Density ( Pop/Land Area Ratio) | Density | 312 | 22 | 1129 | ||
6 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 1 | 120 | 1126 | ||
7 | Total Deaths | # People (In Thousands) | 319 | 15 | 1129 | ||
Below than World Average- |
|||||||
1 | Female % of Total Pop. | % People | 50 | 119 | 1233 | ||
2 | Population Growth Rate (%) | % People | 0 | 103 | 1233 | ||
3 | Male % of Total Pop. | % People | 50 | 76 | 1234 |
Philippines Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Filipino | 37.5 % |
2 | English | 2.91 % |
3 | Standard Chinese | 2.01 % |
4 | Indonesian | 0.09 % |
List of cities having more than 100K population in Philippines
Sr. | City | Total City Population (2023) |
---|---|---|
1 | Angeles City | 484,127 |
2 | Angono | 136,484 |
3 | Antipolo | 928,094 |
4 | Apalit | 122,574 |
5 | Arayat | 151,545 |
6 | Bacolod | 628,351 |
7 | Bacoor | 695,077 |
8 | Bago | 199,968 |
9 | Baguio | 383,202 |
10 | Balanga | 108,978 |
11 | Baliwag | 176,227 |
12 | Batangas City | 367,514 |
13 | Bayambang | 134,916 |
14 | Bayawan | 128,327 |
15 | Baybay | 116,927 |
16 | Bayugan | 114,521 |
17 | Binangonan | 327,981 |
18 | Biñan | 426,082 |
19 | Bocaue | 147,884 |
20 | Bulan | 110,129 |
21 | Bongao | 121,424 |
22 | Cabanatuan | 342,309 |
23 | Cabuyao | 371,593 |
24 | Cadiz | 165,768 |
25 | Cagayan de Oro | 761,802 |
26 | Cainta | 394,184 |
27 | Calamba | 564,449 |
28 | Calapan | 152,486 |
29 | Calasiao | 105,109 |
30 | Calbayog | 195,575 |
31 | Caloocan | 1,737,796 |
32 | Calumpit | 123,934 |
33 | Candaba | 124,980 |
34 | Candelaria | 144,224 |
35 | Capas | 163,258 |
36 | Carcar | 142,759 |
37 | Carmen | 112,534 |
38 | Carmona | 111,175 |
39 | Catbalogan | 111,279 |
40 | Cauayan | 149,976 |
41 | Cauayan | 113,475 |
42 | Cavite City | 105,318 |
43 | Cebu City | 1,008,415 |
44 | Concepcion | 177,796 |
45 | Consolacion | 154,787 |
46 | Cotabato City | 340,008 |
47 | Daet | 116,822 |
48 | Dagupan | 182,293 |
49 | Danao | 163,467 |
50 | Daraga | 140,040 |
51 | Dasmariñas | 735,342 |
52 | Datu Odin Sinsuat | 122,156 |
53 | Davao City | 1,858,383 |
54 | Digos | 258,118 |
55 | Dinalupihan | 123,620 |
56 | Dipolog | 144,433 |
57 | Dumaguete | 140,249 |
58 | Floridablanca | 141,714 |
59 | Gapan | 128,640 |
60 | General Mariano Alvarez | 180,306 |
61 | General Santos | 729,276 |
62 | General Trias | 471,472 |
63 | Gingoog | 142,969 |
64 | Glan | 114,521 |
65 | Guagua | 134,811 |
66 | Guiguinto | 118,600 |
67 | Guihulngan | 107,410 |
68 | Guimba | 133,556 |
69 | Hagonoy | 139,517 |
70 | Himamaylan | 121,529 |
71 | Ilagan | 165,455 |
72 | Iligan | 379,751 |
73 | Iloilo City | 478,584 |
74 | Imus | 519,582 |
75 | Iriga | 119,751 |
76 | Isabela City | 136,380 |
77 | Jolo | 181,247 |
78 | Kabankalan | 209,381 |
79 | Kawit | 112,430 |
80 | Kidapawan | 168,174 |
81 | Koronadal | 204,360 |
82 | La Trinidad | 143,701 |
83 | Labo | 114,208 |
84 | Lamitan | 104,795 |
85 | Laoag | 116,822 |
86 | Lapu-Lapu | 520,418 |
87 | Las Piñas | 634,103 |
88 | Legazpi | 219,107 |
89 | Libmanan | 118,182 |
90 | Ligao | 123,516 |
91 | Liloan | 160,225 |
92 | Lingayen | 112,639 |
93 | Lipa | 390,000 |
94 | Los Baños | 120,692 |
95 | Lubao | 181,456 |
96 | Lucena | 291,690 |
97 | Mabalacat | 306,645 |
98 | Magalang | 129,895 |
99 | Makati | 658,472 |
100 | Malabon | 397,949 |
101 | Malasiqui | 149,662 |
102 | Malaybalay | 199,445 |
103 | Malita | 123,620 |
104 | Malolos | 273,178 |
105 | Malungon | 110,338 |
106 | Mandaluyong | 445,326 |
107 | Mandaue | 380,797 |
108 | Mangaldan | 118,391 |
109 | Manila | 1,931,175 |
110 | Manolo Fortich | 118,391 |
111 | Maramag | 113,266 |
112 | Marawi | 216,492 |
113 | Marikina | 477,015 |
114 | Marilao | 266,171 |
115 | Mariveles | 156,774 |
116 | Masbate City | 109,292 |
117 | Mati | 154,264 |
118 | Mexico | 181,352 |
119 | Meycauayan | 236,050 |
120 | Midsayap | 172,985 |
121 | Minglanilla | 157,924 |
122 | Muntinlupa | 568,319 |
123 | Naga | 218,793 |
124 | Naga | 139,308 |
125 | Naic | 168,383 |
126 | Nasugbu | 142,759 |
127 | Naujan | 114,626 |
128 | Navotas | 258,850 |
129 | Norzagaray | 142,341 |
130 | Olongapo | 272,237 |
131 | Ormoc | 241,593 |
132 | Ozamiz | 146,734 |
133 | Quezon | 114,626 |
134 | Pagadian | 220,153 |
135 | Panabo | 218,793 |
136 | Pandi | 162,317 |
137 | Paniqui | 107,723 |
138 | Parang | 107,619 |
139 | Parañaque | 721,641 |
140 | Pasay | 460,909 |
141 | Pasig | 840,032 |
142 | Pikit | 172,253 |
143 | Plaridel | 119,646 |
144 | Polomolok | 180,515 |
145 | Porac | 147,257 |
146 | Puerto Princesa | 321,183 |
147 | Pulilan | 113,789 |
148 | Quezon City | 3,095,737 |
149 | Rodriguez | 464,361 |
150 | Rosario, Batangas | 134,288 |
151 | Rosario, Cavite | 115,881 |
152 | Roxas | 187,522 |
153 | Sagay | 155,728 |
154 | Samal | 122,156 |
155 | San Carlos | 214,819 |
156 | San Carlos | 138,785 |
157 | San Fernando | 370,966 |
158 | San Fernando | 131,360 |
159 | San Ildefonso | 121,006 |
160 | San Jose | 157,820 |
161 | San Jose | 160,330 |
162 | San Jose del Monte | 681,690 |
163 | San Juan | 119,332 |
164 | San Juan | 132,092 |
165 | San Mateo | 285,833 |
166 | San Miguel | 179,992 |
167 | San Pablo | 298,383 |
168 | San Pedro | 340,949 |
169 | San Rafael | 107,828 |
170 | Santa Cruz | 129,268 |
171 | Santa Cruz | 105,736 |
172 | Santa Maria | 303,089 |
173 | Santa Rosa | 433,822 |
174 | Santiago | 155,414 |
175 | Santo Tomas | 228,520 |
176 | Santo Tomas | 134,602 |
177 | Sariaya | 169,324 |
178 | Silang | 309,155 |
179 | Silay | 136,484 |
180 | Sindangan | 108,769 |
181 | Sorsogon City | 190,555 |
182 | Subic | 117,031 |
183 | Sultan Kudarat | 109,920 |
184 | Surigao City | 178,946 |
185 | T'boli | 105,632 |
186 | Tabaco | 147,466 |
187 | Tabuk | 126,549 |
188 | Tacloban | 263,451 |
189 | Tacurong | 114,312 |
190 | Tagbilaran | 109,815 |
191 | Taguig | 927,361 |
192 | Tagum | 309,783 |
193 | Talavera | 138,367 |
194 | Talipao | 104,690 |
195 | Talisay | 275,060 |
196 | Talisay | 113,894 |
197 | Tanauan | 202,792 |
198 | Tanay | 145,792 |
199 | Tanza | 326,412 |
200 | Tarlac City | 403,073 |
201 | Tayabas | 117,868 |
202 | Taytay | 404,224 |
203 | Tiaong | 111,175 |
204 | Toledo | 216,806 |
205 | Trece Martires | 220,153 |
206 | Tuguegarao | 173,926 |
207 | Urdaneta | 151,231 |
208 | Valencia | 226,428 |
209 | Valenzuela | 747,788 |
210 | Zamboanga City | 1,022,012 |
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.