Philippines Analytics
LANGUAGES
- Official Language:
- 1. Filipino
: 43,797,000
- 2. English
: 3,403,000
Mother Tongue : Filipino
Literacy Rate (%) : 96.3
Country Capital | : | Wellington |
---|---|---|
GDP Per capita | : | 3,499 |
GDP Per Capita Rank | : | 123rd/195 |
Life Expectancy | : | 69 |
Unemployment Rate | : | 4 |
Number of Internet Users | : | 58,300,000 |
Internet Users Rank | : | 18th/195 |
Area | : | 99 |
Area Rank | : | 74th/195 |
Total Population | : | 113,880 |
Total Population Rank | : | 13th/195 |
Continent: South East Asia and Oceania
Philippines Highlights
Philippines is the 13th ranked country in population and 74th 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 6th 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 GDP Per Capita (USD) of the countries in the world is 18,253. Philippines is the 73rd worst-ranked country out of 195 countries. This implies that this country is a developing country.
- 3. Out of the 195 countries in the world, Philippines is the 73rd worst ranked in Doctors (Per 10,000) . This may indicate worse healthcare infrastructure investment by the country or may indicate lower population.
Philippines Metrics
Language Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Filipino | # People | 242,148 | 1 | 1127 | ||
2 | Filipino as a % of total Filipino speakers | % People | 0 | 1 | 1128 | ||
3 | Indonesian as a % of total Indonesian speakers | % People | 0 | 2 | 1129 | ||
4 | Mandarin Chinese as a % of total Mandarin Chinese speakers | % People | 0 | 5 | 1127 | ||
5 | English | # People | 3,175,743 | 13 | 1130 | ||
6 | English as a % of total English speakers | % People | 0 | 15 | 1130 | ||
Below than World Average- |
|||||||
1 | Standard Chinese as a % of total Standard Chinese speakers | % People | 0 | 10 | 1233 | ||
2 | Standard Chinese | # People | 6,821,357 | 6 | 1230 | ||
3 | Icelandic as a % of total Icelandic speakers | % People | 0 | 3 | 1234 | ||
4 | Indonesian | # People | 113,434 | 2 | 1231 |
Internet Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | FB Users / Total Int. Users %. | % People | 76 | 3 | 1126 | ||
2 | Facebook users | # People | 17,943,893 | 6 | 1130 | ||
3 | LinkedIn users | # People | 5,792,754 | 12 | 1126 | ||
4 | LinkedIn Users as a % of Total LinkedIn Users | # People | 0 | 12 | 1125 | ||
5 | Twitter users | # People | 3,240,046 | 15 | 1127 | ||
6 | Twitter Users as a % of Total Twitter Users | # People | 0 | 15 | 1128 | ||
7 | Internet Users | # People | 25,030,008 | 18 | 1125 | ||
8 | FB Users / Total Pop. %. | % People | 60 | 21 | 1128 | ||
9 | Twitter Users as a % of Total Internet Users | # People | 16 | 61 | 1128 | ||
Below than World Average- |
|||||||
1 | Int. Users / Total Pop.% | % People | 66 | 139 | 1234 | ||
2 | LinkedIn Users as a % of Total Population | # People | 29 | 98 | 1233 | ||
3 | Twitter Users as a % of Total Population | # People | 14 | 81 | 1232 | ||
4 | LinkedIn Users as a % of Total Internet Users | # People | 34 | 73 | 1233 |
Urbanization Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | # Cities>100000 | # Cities | 23 | 5 | 1128 | ||
2 | # Cities>100000 | # Cities | 21 | 5 | 1130 | ||
3 | # Cities>300000 | # Cities | 7 | 8 | 1130 | ||
4 | # Cities>300000 | # Cities | 8 | 9 | 1130 | ||
5 | # Cities>500000 | # Cities | 5 | 11 | 1126 | ||
6 | # Cities>500000 | # Cities | 4 | 11 | 1130 | ||
7 | Rural Pop. | # People | 18,013,759 | 12 | 1126 | ||
8 | Urban Population (2021) | # People | 22,563,215 | 16 | 1128 | ||
9 | # Cities>1M | # Cities | 1 | 17 | 1125 | ||
10 | # Cities>1M | # Cities | 2 | 20 | 1128 | ||
11 | Rural Pop. /Total Pop. % | % People | 41 | 65 | 1129 | ||
12 | Pop. with access to Electricity (%) | % People | 85 | 124 | 1130 | ||
Below than World Average- |
|||||||
1 | Urban Population / Total Population % . | % People | 59 | 132 | 1234 | ||
2 | 1M+ Cities Ratio ( 1M+ Cities/ # Cities> 100000) | 0 | 106 | 1231 | |||
3 | 1M+ Cities per 100000 ( 1M+ Cities/ Tot Pop.)* 100000 | 0 | 88 | 1233 |
Culture Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Christian Population | # People | 11,763,461 | 5 | 1126 | ||
Below than World Average- |
|||||||
1 | # Olympic Medals | Count | 126 | 67 | 1231 | ||
2 | World Heritage Sites | Count | 7 | 58 | 1230 | ||
3 | Islamic Population | # People | 9,744,062 | 46 | 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 | 24 | 1127 | ||
Below than World Average- |
|||||||
1 | Islamic Pop./Total Pop.% | % People | 22 | 97 | 1233 | ||
2 | Islamic Pop./Total Islamic Pop.% | % People | 0 | 45 | 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 | 7 | 1127 | ||
2 | Labour Force Participation | # People | 11,624,528 | 13 | 1129 | ||
3 | Employment in Agriculture | # People | 5,233,463 | 13 | 1129 | ||
4 | Formal Jobs | # People | 10,227,722 | 13 | 1128 | ||
5 | Total Labour Force (2021) | # People | 19,636,200 | 14 | 1125 | ||
6 | Employment in Services | # People | 9,747,273 | 14 | 1128 | ||
7 | Non-Agricultural Labour Force | # People | 14,402,736 | 15 | 1125 | ||
8 | Employment in Agri. / Total Labour Force % . | % People | 24 | 77 | 1125 | ||
9 | Employment in Agriculture/Total Labour force %. | % People | 24 | 77 | 1125 | ||
10 | Wage & Salaried Workers / Total Labour Force % | % People | 58 | 90 | 1128 | ||
11 | Employment in Services / Total Labour Force %. | % People | 55 | 93 | 1130 | ||
12 | Employment in services/Total Labour force %. | % People | 55 | 93 | 1130 | ||
Below than World Average- |
|||||||
1 | Unemployment Rate. | % People | 13 | 125 | 1230 | ||
2 | Total Labour Force/Total Pop. | % People | 43 | 123 | 1233 | ||
3 | Non-Agri Labour force/Total Labour force %. | % People | 75 | 102 | 1230 | ||
4 | Employment in Services /Total pop.%. | % People | 24 | 97 | 1235 | ||
5 | Employment in Agriculture /Total Pop. %. | % People | 9 | 74 | 1230 | ||
6 | Unemployed Labour Force. | # People | 1,648,234 | 25 | 1234 |
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 | 1129 | ||
2 | FDI (millions USD) | Amount | 7,895 | 38 | 1129 | ||
3 | FDI / Total FDI of the World %. | 0 | 38 | 1126 | |||
4 | Corporate Tax Rates in % | Rate | 23 | 64 | 1129 | ||
Below than World Average- |
|||||||
1 | GDP Per Capita (USD) | $ | 18,253 | 123 | 1233 | ||
2 | Exports/Total GDP of the Country %. | 45 | 108 | 1230 | |||
3 | Imports /Total GDP of the Country %. | 52 | 84 | 1231 | |||
4 | Exports /Total Exports of the World %. | 0 | 41 | 1232 | |||
5 | Export of Goods and Services (in Million $) | Amount | 184,833 | 41 | 1235 | ||
6 | No. of Companies Listed in NYSE | Count | 65 | 32 | 1235 | ||
7 | GDP as a % of Total GDP | Percent | 0 | 35 | 1230 | ||
8 | GDP (Billions USD) 2022 | $ Billions | 531 | 38 | 1233 | ||
9 | Import of Goods and Services (in Million $) | Amount | 182,282 | 32 | 1232 | ||
10 | Imports/Total Imports of the World %. | 0 | 32 | 1231 |
Nature Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Rice prod. | Weight | 6,871,329 | 8 | 1125 | ||
2 | Rice Produced/Total Rice Produced.% | Weight | 0 | 8 | 1125 | ||
Below than World Average- |
|||||||
1 | Tree density . | Density | 828 | 137 | 1235 | ||
2 | Potatoes Produced /Total Potatoes Produced % | Weight | 0 | 98 | 1231 | ||
3 | Potatoes prod. | Weight | 2,516,782 | 100 | 1235 | ||
4 | Tree density. | Density | 22,685 | 97 | 1232 | ||
5 | Oil Prod. | 4,369,531 | 89 | 1231 | |||
6 | Soyabean prod. | Weight | 3,628,152 | 85 | 1233 | ||
7 | Forest Area. | Area | 21,142,892 | 62 | 1231 | ||
8 | Country forest area / Global Forest area % | 0 | 62 | 1230 | |||
9 | Natural Gas Prod. | Mass | 216,389 | 58 | 1235 | ||
10 | Natural Gas Produced/Total Natural Gas Produced % | Mass | 5 | 56 | 1235 | ||
11 | Number of Trees | Count | 15,642,617,148 | 55 | 1232 | ||
12 | Sweet Potatoes prod. | Weight | 833,178 | 21 | 1230 | ||
13 | Sweet Potatoes Produced/Total Sweet Potatoes Produced % | Weight | 0 | 21 | 1234 | ||
14 | Nickel prod. | Weight | 376,142 | 2 | 1235 | ||
15 | Nickel Produced/Total Nickel Produced % | Weight | 14 | 2 | 1232 |
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 | 1127 | ||
2 | Total Literate Pop. | # People | 34,125,548 | 12 | 1129 | ||
3 | Enrolment in primary edu. | # People | 9,629,078 | 13 | 1128 | ||
4 | Literacy Rate (%) | % People | 86 | 88 | 1127 | ||
Below than World Average- |
|||||||
1 | Teachers as a % of Enrolment | % People | 41 | 97 | 1232 | ||
2 | # Students per teacher in Primary edu. | Ratio | 260 | 92 | 1234 | ||
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 | 1232 | ||
6 | Enrolment in Tertiary Edu./ Total Pop. %. | % People | 9 | 66 | 1234 | ||
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 | 1232 | ||
11 | Enrolment in Secondary Edu./Total Pop %. | % People | 23 | 16 | 1233 | ||
12 | Teachers in secondary edu. | # People | 659,923 | 15 | 1234 | ||
13 | Enrolment in tertiary edu.(all programmes) | # People | 4,618,191 | 12 | 1234 | ||
14 | # Total Teachers (Primary+Secondary+Tertiary) | # People | 2,895,876 | 12 | 1232 | ||
15 | # Total Students (Primary+Secondary+Tertiary) | # People | 38,831,325 | 10 | 1235 |
Health Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Total Nursing | # People | 163,061 | 10 | 1127 | ||
2 | Nurses to doctor ratio | Ratio | 2 | 15 | 1125 | ||
3 | Total No. of Pharmacists | # People | 14,339 | 25 | 1128 | ||
4 | Total No. of Doctors | # People | 73,975 | 28 | 1126 | ||
5 | Pharmacists (Per 10,000) | People Per 10,000 | 4 | 69 | 1126 | ||
Below than World Average- |
|||||||
1 | #Dentists | # People | 13,328 | 184 | 1231 | ||
2 | Life Expectancy at Birth, both sexes | Age | 71 | 126 | 1232 | ||
3 | Doctors (Per 10,000) | People Per 10,000 | 20 | 123 | 1233 | ||
4 | Nurses(per 10000) | People per 10000 | 44 | 74 | 1235 |
Demography Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Births | # People (In Thousands) | 688 | 11 | 1127 | ||
2 | Total Population (2021) | # People (In Thousands) | 40,345 | 13 | 1129 | ||
3 | Male Population | # People (In Thousands) | 20,393 | 13 | 1129 | ||
4 | Female Population | # People (In Thousands) | 20,160 | 13 | 1130 | ||
5 | Density ( Pop/Land Area Ratio) | Density | 342 | 23 | 1127 | ||
6 | Male % of Total Pop. | % People | 50 | 31 | 1126 | ||
7 | Population Growth Rate (%) | % People | 1 | 67 | 1125 | ||
8 | Total Deaths | # People (In Thousands) | 355 | 14 | 1129 | ||
Below than World Average- |
|||||||
1 | Female % of Total Pop. | % People | 49 | 164 | 1234 | ||
2 | Gender Ratio | Ratio of female per male, Country total female/ Country total male | 0 | 164 | 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 | 1125 | ||
2 | # Phone Numbers /Total Pop. % | Percent | 101 | 100 | 1130 |
Governance Metrics
Sr. | Title | Metric | World Average | Rank out of 195 | Value | ||
---|---|---|---|---|---|---|---|
Above than World Average- |
|||||||
1 | Police Officers | # People | 138,224 | 20 | 1127 | ||
2 | Total Military Force | # People | 122,909 | 35 | 1128 | ||
3 | Military Force/Total World Military Force %. | % People | 0 | 35 | 1130 | ||
Below than World Average- |
|||||||
1 | Military Force/Total Pop. % | % People | 0 | 131 | 1233 | ||
2 | Judges Per 100K | People Per 100K | 11 | 77 | 1231 | ||
3 | Military Budget (in Billion $) | $ Billion | 15 | 48 | 1230 | ||
4 | Military Budget/Total World Military Budget %. | Percent | 0 | 47 | 1235 |
Philippines Language Details
Sr. | Language | % of people speaking the language in country. |
---|---|---|
1 | Filipino | 38.46 % |
2 | English | 2.99 % |
3 | Standard Chinese | 2.06 % |
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.