Philippines

PHL PSA Population Age Sex Province PHL-PSA-POPULATION_AGE_SEX_PROVINCE Census

14,580 rows · 1 table(s) · 2024 Philippine Statistics Authority 0 1 2 3 9 SEL 19 ext ▶

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2 Admin 2 — 1 table(s)

PHL PSA population_age_sex_province — 14,580 rows, 5 columns

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Field details — 28 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`geo_name`	Geographic unit name	string	SEL	0%	8	PHILIPPINES, NATIONAL CAPITAL REGION (NCR), City of...
`admin_level`	Administrative level	string	SEL	0%	3	admin_0, admin_1, admin_2
`population_count`	Total population (all ages)	integer	SEL	0%	8	109033245, 13484462, 1846513, 425758, 456059, 803159,...
`population_male`	Male population (all ages)	integer	SEL	0%	8	55306793, 6737870, 918643, 209013, 226189, 398811, 1471795, 61222
`population_female`	Female population (all ages)	integer	SEL	0%	8	53726452, 6746592, 927870, 216745, 229870, 404348, 1488253, 65125
`population_0_14`	Population aged 0-14 (both sexes, derived)	integer	SEL	0%	8	33431478, 3695266, 494157, 109913, 125756, 230220, 826435, 30366
`population_15_64`	Population aged 15-64 (both sexes, derived)	integer	SEL	0%	8	69734936, 9150380, 1258152, 295503, 303497, 536723,...
`population_60_plus`	Population aged 60 and over (both sexes, derived)	integer	SEL	0%	8	9242121, 1062581, 155307, 33338, 42607, 59618, 235715, 13215
`population_65_plus`	Population aged 65 and over (both sexes, derived)	integer	SEL	0%	8	5866831, 638816, 94204, 20342, 26806, 36216, 141222, 8386

Extension Fields (19) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	PHL
`household_population`	Household population (all ages)	integer	0%	8	108667043, 13403551, 1837785, 419333, 452961, 801439,...
`pop_age_below_5`	Population aged Below 5 (both sexes)	integer	0%	8	11069479, 1279827, 169275, 38660, 42164, 81168, 291246, 10696
`pop_age_5_9`	Population aged 5-9 (both sexes)	integer	0%	8	11270637, 1237986, 166305, 36697, 42327, 78038, 276602, 10059
`pop_age_10_14`	Population aged 10-14 (both sexes)	integer	0%	8	11091362, 1177453, 158577, 34556, 41265, 71014, 258587, 9611
`pop_age_15_19`	Population aged 15-19 (both sexes)	integer	0%	8	10482815, 1118951, 157770, 31490, 38423, 65702, 242000, 8966
`pop_age_20_24`	Population aged 20-24 (both sexes)	integer	0%	8	10024753, 1284062, 181027, 43835, 40964, 72236, 275540, 11756
`pop_age_25_29`	Population aged 25-29 (both sexes)	integer	0%	8	9229288, 1298890, 178784, 46209, 40636, 76678, 277852, 11645
`pop_age_30_34`	Population aged 30-34 (both sexes)	integer	0%	8	8171423, 1174399, 155850, 39330, 36508, 71801, 253250, 10954
`pop_age_35_39`	Population aged 35-39 (both sexes)	integer	0%	8	7221785, 1017767, 133781, 33001, 32401, 62525, 220352, 9772
`pop_age_40_44`	Population aged 40-44 (both sexes)	integer	0%	8	6528846, 896189, 119221, 28304, 29822, 54119, 195936, 8977
`pop_age_45_49`	Population aged 45-49 (both sexes)	integer	0%	8	5598765, 749356, 101870, 23716, 26360, 43985, 166339, 7741
`pop_age_50_54`	Population aged 50-54 (both sexes)	integer	0%	8	4964629, 654711, 92711, 20232, 23434, 37004, 146739, 6915
`pop_age_55_59`	Population aged 55-59 (both sexes)	integer	0%	8	4137342, 532290, 76035, 16390, 19148, 29271, 119890, 6040
`pop_age_60_64`	Population aged 60-64 (both sexes)	integer	0%	8	3375290, 423765, 61103, 12996, 15801, 23402, 94493, 4829
`pop_age_65_69`	Population aged 65-69 (both sexes)	integer	0%	8	2398116, 281295, 40846, 8772, 11171, 15962, 61637, 3376
`pop_age_70_74`	Population aged 70-74 (both sexes)	integer	0%	8	1578185, 177144, 26818, 5793, 7419, 10223, 37992, 2286
`pop_age_75_79`	Population aged 75-79 (both sexes)	integer	0%	8	932231, 88950, 12938, 2942, 3789, 5029, 19925, 1237
`pop_age_80_years_old_and_over`	Population aged 80 years old and over (both sexes)	integer	0%	8	958299, 91427, 13602, 2835, 4427, 5002, 21668, 1487

PHL PSA Population Households Province PHL-PSA-POPULATION_HOUSEHOLDS_PROVINCE Census

405 rows · 1 table(s) · 2024 Philippine Statistics Authority 0 1 2 3 4 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

PHL PSA population_households_province — 405 rows, 3 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`geo_name`	Geographic unit name	string	SEL	0%	8	PHILIPPINES, NATIONAL CAPITAL REGION (NCR), City of...
`admin_level`	Administrative level	string	SEL	0%	3	admin_0, admin_1, admin_2
`population_count`	Total population	integer	SEL	0%	8	109033245, 13484462, 1846513, 425758, 456059, 803159,...
`household_count`	Number of households	integer	SEL	0%	8	26393906, 3499652, 486293, 116954, 104415, 212895, 738724, 31519

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	PHL
`household_population`	Household population	integer	0%	8	108667043, 13403551, 1837785, 419333, 452961, 801439,...

PHL PSA Population Age Sex Province (pivoted) PHL-PSA-POPULATION_AGE_SEX_PROVINCE-WIDE Census Wide

135 rows · 1 table(s) · 2024 Philippine Statistics Authority 0 1 2 3 ▶

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2 Admin 2 — 1 table(s)

PHL PSA population_age_sex_province (wide) — 135 rows, 108 columns

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Field details — 108 fields (type, nulls, unique, samples)

Extension Fields (108) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`0_0_0`	0_0_0	numeric	0%	1	-
`0_0_1`	0_0_1	numeric	0%	1	-
`0_0_2`	0_0_2	numeric	0%	1	-
`0_0_3`	0_0_3	numeric	0%	1	-
`0_0_4`	0_0_4	numeric	0%	1	-
`0_0_5`	0_0_5	numeric	0%	1	-
`0_0_6`	0_0_6	numeric	0%	1	-
`0_0_7`	0_0_7	numeric	0%	1	-
`0_0_8`	0_0_8	numeric	0%	1	-
`0_0_9`	0_0_9	numeric	0%	1	-
`0_0_10`	0_0_10	numeric	0%	1	-
`0_0_11`	0_0_11	numeric	0%	1	-
`0_0_12`	0_0_12	numeric	0%	1	-
`0_0_13`	0_0_13	numeric	0%	1	-
`0_0_14`	0_0_14	numeric	0%	1	-
`0_0_15`	0_0_15	numeric	0%	1	-
`0_0_16`	0_0_16	numeric	0%	1	-
`0_0_17`	0_0_17	numeric	0%	1	-
`0_1_0`	0_1_0	numeric	0%	1	-
`0_1_1`	0_1_1	numeric	0%	1	-
`0_1_2`	0_1_2	numeric	0%	1	-
`0_1_3`	0_1_3	numeric	0%	1	-
`0_1_4`	0_1_4	numeric	0%	1	-
`0_1_5`	0_1_5	numeric	0%	1	-
`0_1_6`	0_1_6	numeric	0%	1	-
`0_1_7`	0_1_7	numeric	0%	1	-
`0_1_8`	0_1_8	numeric	0%	1	-
`0_1_9`	0_1_9	numeric	0%	1	-
`0_1_10`	0_1_10	numeric	0%	1	-
`0_1_11`	0_1_11	numeric	0%	1	-
+78 more extension fields — download the CSV/Parquet to see them all.

PHL PSA Poverty Province (pivoted) PHL-PSA-POVERTY_PROVINCE-WIDE Census Wide

103 rows · 1 table(s) · 2024 Philippine Statistics Authority 0 1 2 3 ▶

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2 Admin 2 — 1 table(s)

PHL PSA poverty_province (wide) — 103 rows, 20 columns

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Field details — 20 fields (type, nulls, unique, samples)

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`0_0`	0_0	numeric	0%	1	-
`0_1`	0_1	numeric	0%	1	-
`0_2`	0_2	numeric	0%	1	-
`0_3`	0_3	numeric	0%	1	-
`0_4`	0_4	numeric	0%	1	-
`1_0`	1_0	numeric	0%	1	-
`1_1`	1_1	numeric	0%	1	-
`1_2`	1_2	numeric	0%	1	-
`1_3`	1_3	numeric	0%	1	-
`1_4`	1_4	numeric	0%	1	-
`2_0`	2_0	numeric	0%	1	-
`2_1`	2_1	numeric	0%	1	-
`2_2`	2_2	numeric	0%	1	-
`2_3`	2_3	numeric	0%	1	-
`2_4`	2_4	numeric	0%	1	-
`3_0`	3_0	numeric	0%	1	-
`3_1`	3_1	numeric	0%	1	-
`3_2`	3_2	numeric	0%	1	-
`3_3`	3_3	numeric	0%	1	-
`3_4`	3_4	numeric	0%	1	-

PHL PSA Poverty Threshold Region (pivoted) PHL-PSA-POVERTY_THRESHOLD_REGION-WIDE Census Wide

103 rows · 1 table(s) · 2024 Philippine Statistics Authority 0 1 2 3 ▶

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2 Admin 2 — 1 table(s)

PHL PSA poverty_threshold_region (wide) — 103 rows, 20 columns

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Field details — 20 fields (type, nulls, unique, samples)

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`0_0`	0_0	numeric	0%	1	-
`0_1`	0_1	numeric	0%	1	-
`0_2`	0_2	numeric	0%	1	-
`0_3`	0_3	numeric	0%	1	-
`0_4`	0_4	numeric	0%	1	-
`1_0`	1_0	numeric	0%	1	-
`1_1`	1_1	numeric	0%	1	-
`1_2`	1_2	numeric	0%	1	-
`1_3`	1_3	numeric	0%	1	-
`1_4`	1_4	numeric	0%	1	-
`2_0`	2_0	numeric	0%	1	-
`2_1`	2_1	numeric	0%	1	-
`2_2`	2_2	numeric	0%	1	-
`2_3`	2_3	numeric	0%	1	-
`2_4`	2_4	numeric	0%	1	-
`3_0`	3_0	numeric	0%	1	-
`3_1`	3_1	numeric	0%	1	-
`3_2`	3_2	numeric	0%	1	-
`3_3`	3_3	numeric	0%	1	-
`3_4`	3_4	numeric	0%	1	-

PHL 2020 CPH — Ethnicity and Religious Affiliation (national) PHL-PSA-ETHNICITY-RELIGION-2020 Census

1 rows · 1 table(s) · 2020 Philippine Statistics Authority 0 1 2 3 3 SEL 25 CCL 1 ext ▶

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0 Admin 0 — 1 table(s)

Ethnicity and Religion (national) — 1 rows, 29 columns

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Field details — 29 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`geo_name`	Geographic unit name	string	SEL	0%	1	Philippines
`admin_level`	Administrative level	string	SEL	0%	1	admin_0
`population_count`	Household population (2020 CPH)	integer	SEL	0%	1	108667043
`ethnicity_tagalog`	Tagalog (26.0% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	28253431
`ethnicity_bisaya_binisaya`	Bisaya/Binisaya (14.3% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	15539387
`ethnicity_ilocano`	Ilocano (8.0% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	8693363
`ethnicity_cebuano`	Cebuano (8.0% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	8693363
`ethnicity_ilonggo_hiligaynon`	Ilonggo/Hiligaynon (7.9% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	8584696
`ethnicity_bikol`	Bikol/Bicol (6.5% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	7063358
`ethnicity_waray`	Waray (3.8% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	4129348
`ethnicity_kapampangan`	Kapampangan (3.0% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	3260011
`ethnicity_maguindanao`	Maguindanao (1.9% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	2064674
`ethnicity_pangasinan`	Pangasinan (1.9% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	2064674
`ip_non_indigenous`	Non-Indigenous Peoples (85.7% of household population, 2020 CPH)	integer	CCL	0%	1	93090000
`ip_ncip_indigenous`	Indigenous Peoples (NCIP-identified) (7.6% of household population, 2020 CPH)	integer	CCL	0%	1	8210000
`ip_ncmf_muslim`	Muslim tribes (NCMF-identified) (5.0% of household population, 2020 CPH)	integer	CCL	0%	1	5480000
`ip_ncip_ncmf_both`	IP and Muslim tribes (both NCIP & NCMF) (1.5% of household population, 2020 CPH)	integer	CCL	0%	1	1630000
`ip_foreign`	Foreign ethnicities (0.2% of household population, 2020 CPH)	integer	CCL	0%	1	230917
`religion_roman_catholic`	Roman Catholic (78.8% of household population, 2020 CPH)	integer	CCL	0%	1	85645362
`religion_islam`	Islam (6.4% of household population, 2020 CPH)	integer	CCL	0%	1	6981710
`religion_iglesia_ni_cristo`	Iglesia ni Cristo (2.6% of household population, 2020 CPH)	integer	CCL	0%	1	2806524
`religion_seventh_day_adventist`	Seventh Day Adventist (0.8% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	869336
`religion_aglipay`	Aglipay (0.8% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	869336
`religion_iglesia_filipina_independiente`	Iglesia Filipina Independiente (0.6% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	652002
`religion_bible_baptist_church`	Bible Baptist Church (0.5% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	543335
`religion_uccp`	United Church of Christ in the Philippines (0.4% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	434668
`religion_jehovahs_witness`	Jehovah's Witness (0.4% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	434668
`religion_church_of_christ`	Church of Christ (0.4% of household population, 2020 CPH) — derived from PSA %	integer	CCL	0%	1	434668

Extension Fields (1) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	PHL

PHL Philippines Rainfall Indicators at Subnational Le PHL-HDX-Philippines__Rainfall_Indicators_at_Subn Climate

159,740 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL Philippines Rainfall Indicators at Subnational Le — 159,740 rows, 15 columns

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Field details — 15 fields (type, nulls, unique, samples)

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`date`	date	string	0%	100	1981-01-01, 1981-01-11, 1981-01-21, 1981-02-01, 1981-02-11
`adm_level`	adm_level	string	0%	1	1, 1, 1, 1, 1
`adm_id`	adm_id	string	0%	1	900566, 900566, 900566, 900566, 900566
`PCODE`	PCODE	string	0%	1	PH01, PH01, PH01, PH01, PH01
`n_pixels`	n_pixels	float	0%	1	426.0, 426.0, 426.0, 426.0, 426.0
`rfh`	rfh	float	0%	99	4.906103, 2.225352, 1.9859155, 1.2464789, 0.87558687
`rfh_avg`	rfh_avg	float	0%	36	2.55313, 1.9203442, 2.1950705, 2.1001565, 2.5606415
`r1h`	r1h	float	2%	98	9.117371, 5.4577465, 4.107981, 4.1408453, 7.4788733
`r1h_avg`	r1h_avg	float	2%	36	6.668545, 6.215571, 6.8558683, 7.7507825, 12.155634
`r3h`	r3h	float	8%	92	28.131454, 26.361504, 29.068075, 64.938965, 90.61972
`r3h_avg`	r3h_avg	float	8%	36	42.878483, 49.709232, 61.748512, 87.26675, 129.0716
`rfq`	rfq	float	0%	100	131.15228, 104.40741, 97.09309, 87.97663, 77.71281
`r1q`	r1q	float	2%	98	120.98656, 93.24311, 76.822556, 71.68851, 72.73921
`r3q`	r3q	float	8%	92	69.19905, 57.323967, 51.03946, 75.800835, 71.31989
`version`	version	string	0%	1	final, final, final, final, final

PHL Philippines Food Prices PHL-HDX-Philippines___Food_Prices Food Security

152,385 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL Philippines Food Prices — 152,385 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Extension Fields (16) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`date`	date	string	0%	4	2000-01-15, 2000-01-15, 2000-01-15, 2000-01-15, 2000-01-15
`admin1`	admin1	string	0%	7	National Capital region, National Capital region,...
`admin2`	admin2	string	0%	7	Metropolitan Manila, Metropolitan Manila, Metropolitan...
`market`	market	string	0%	7	Metro Manila, Metro Manila, Metro Manila, Metro Manila,...
`market_id`	market_id	string	0%	7	167, 167, 167, 167, 167
`latitude`	latitude	string	0%	7	14.6, 14.6, 14.6, 14.6, 14.6
`longitude`	longitude	string	0%	7	120.98, 120.98, 120.98, 120.98, 120.98
`category`	category	string	0%	2	cereals and tubers, cereals and tubers, cereals and...
`commodity`	commodity	string	0%	6	Rice (milled, superior), Rice (milled, superior), Rice...
`commodity_id`	commodity_id	string	0%	6	593, 593, 80, 80, 140
`unit`	unit	string	0%	1	KG, KG, KG, KG, KG
`priceflag`	priceflag	string	0%	1	actual, actual, actual, actual, actual
`pricetype`	pricetype	string	0%	2	Retail, Wholesale, Retail, Wholesale, Retail
`currency`	currency	string	0%	1	PHP, PHP, PHP, PHP, PHP
`price`	price	string	0%	66	20, 18.35, 18, 16.35, 105.37
`usdprice`	usdprice	string	0%	38	0.49, 0.45, 0.44, 0.4, 2.6

PHL Philippines Open, validated health, climate, env PHL-HDX-Philippines___Open,_validated_health,_cl Climate

74,880 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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3 Admin 3 — 1 table(s)

PHL Philippines Open, validated health, climate, env — 74,880 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`uuid`	uuid	text	0%	-	-
`freq`	freq	text	0%	-	-
`date`	date	text	0%	-	-
`source_name`	source_name	text	0%	-	-
`source_filename`	source_filename	text	0%	-	-
`adm3_pcode`	adm3_pcode	text	0%	-	-
`disease_icd10_code`	disease_icd10_code	text	0%	-	-
`disease_common_name`	disease_common_name	text	0%	-	-
`case_total`	case_total	text	0%	-	-

PHL Philippines 2015 Census Population by Admin4(Baran PHL-HDX-Philippines_2015_Census_Population_by_Ad Census

42,029 rows · 1 table(s) · 2020 HDX 0 1 2 3 4 ▶

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4 Admin 4 — 1 table(s)

PHL Philippines 2015 Census Population by Admin4(Baran — 42,029 rows, 210 columns

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Field details — 210 fields (type, nulls, unique, samples)

Extension Fields (210) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`adm1_code`	adm1 code	text	0%	-	-
`adm1_name`	adm1 name	text	0%	-	-
`adm2_code`	adm2 code	text	0%	-	-
`adm2_name`	adm2 name	text	0%	-	-
`adm3_code`	adm3 code	text	0%	-	-
`adm3_name`	adm3 name	text	0%	-	-
`adm4_code`	adm4 code	text	0%	-	-
`adm4_name`	adm4 name	text	0%	-	-
`FUnder_1`	FUnder 1	text	0%	-	-
`F1`	F1	text	0%	-	-
`F2`	F2	text	0%	-	-
`F3`	F3	text	0%	-	-
`F4`	F4	text	0%	-	-
`F5`	F5	text	0%	-	-
`F6`	F6	text	0%	-	-
`F7`	F7	text	0%	-	-
`F8`	F8	text	0%	-	-
`F9`	F9	text	0%	-	-
`F10`	F10	text	0%	-	-
`F11`	F11	text	0%	-	-
`F12`	F12	text	0%	-	-
`F13`	F13	text	0%	-	-
`F14`	F14	text	0%	-	-
`F15`	F15	text	0%	-	-
`F16`	F16	text	0%	-	-
`F17`	F17	text	0%	-	-
`F18`	F18	text	0%	-	-
`F19`	F19	text	0%	-	-
`F20`	F20	text	0%	-	-
`F21`	F21	text	0%	-	-
+180 more extension fields — download the CSV/Parquet to see them all.

PHL Philippine Dengue Cases and Deaths PHL-HDX-Philippine_Dengue_Cases_and_Deaths Health

32,702 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

PHL Philippine Dengue Cases and Deaths — 32,702 rows, 5 columns

Loading data…

Field details — 5 fields (type, nulls, unique, samples)

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`loc`	loc	string	0%	2	ALBAY, ALBAY, ALBAY, ALBAY, ALBAY
`cases`	cases	string	0%	36	15, 13, 9, 14, 9
`deaths`	deaths	string	0%	3	0, 0, 0, 0, 0
`date`	date	string	0%	52	1/10/2016, 1/17/2016, 1/24/2016, 1/31/2016, 2/7/2016
`Region`	Region	string	0%	2	REGION V-BICOL REGION, REGION V-BICOL REGION, REGION...

PHL Philippines Real Time Prices PHL-HDX-Philippines___Real_Time_Prices Food Security

25,080 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

2 Admin 2 — 1 table(s)

PHL Philippines Real Time Prices — 25,080 rows, 858 columns

Loading data…

Field details — 858 fields (type, nulls, unique, samples)

Extension Fields (858) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ISO3`	ISO3	string	0%	1	PHL, PHL, PHL, PHL, PHL
`country`	country	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`adm1_name`	adm1_name	string	0%	1	Cordillera Administrative region, Cordillera...
`adm2_name`	adm2_name	string	0%	1	Abra, Abra, Abra, Abra, Abra
`mkt_name`	mkt_name	string	0%	1	Abra, Abra, Abra, Abra, Abra
`lat`	lat	string	0%	1	17.6, 17.6, 17.6, 17.6, 17.6
`lon`	lon	string	0%	1	120.62, 120.62, 120.62, 120.62, 120.62
`geo_id`	geo_id	string	0%	1	gid_1760000001206200000, gid_1760000001206200000,...
`DATES`	DATES	string	0%	100	2007-01-01, 2007-02-01, 2007-03-01, 2007-04-01, 2007-05-01
`year`	year	string	0%	9	2007, 2007, 2007, 2007, 2007
`month`	month	string	0%	12	1, 2, 3, 4, 5
`currency`	currency	string	0%	1	PHP, PHP, PHP, PHP, PHP
`components`	components	string	0%	1	beans (1 KG, Index Weight = 1), cabbage (1 KG, Index...
`start_dense_data`	start_dense_data	string	0%	1	Jan 2007, Jan 2007, Jan 2007, Jan 2007, Jan 2007
`last_survey_point`	last_survey_point	string	0%	1	Nov 2025, Nov 2025, Nov 2025, Nov 2025, Nov 2025
`data_coverage`	data_coverage	float	0%	1	19.82, 19.82, 19.82, 19.82, 19.82
`data_coverage_recent`	data_coverage_recent	float	0%	1	37.12, 37.12, 37.12, 37.12, 37.12
`index_confidence_score`	index_confidence_score	float	0%	1	0.98, 0.98, 0.98, 0.98, 0.98
`spatially_interpolated`	spatially_interpolated	string	0%	1	0, 0, 0, 0, 0
`apples`	apples	string	100%	-	-
`bananas`	bananas	string	100%	-	-
`beans`	beans	string	100%	-	-
`beans_egyptian`	beans_egyptian	string	100%	-	-
`beans_fao`	beans_fao	string	100%	-	-
`bread`	bread	string	100%	-	-
`bread_fao`	bread_fao	string	100%	-	-
`bulgur`	bulgur	string	100%	-	-
`cabbage`	cabbage	string	100%	-	-
`carrots`	carrots	string	100%	-	-
`cassava`	cassava	string	100%	-	-
+828 more extension fields — download the CSV/Parquet to see them all.

PHL Philippines Health Indicators PHL-HDX-Philippines___Health_Indicators Health

24,263 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

PHL Philippines Health Indicators — 24,263 rows, 17 columns

Loading data…

Field details — 17 fields (type, nulls, unique, samples)

Extension Fields (17) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`GHO (CODE)`	GHO (CODE)	text	0%	-	-
`GHO (DISPLAY)`	GHO (DISPLAY)	text	0%	-	-
`GHO (URL)`	GHO (URL)	text	0%	-	-
`YEAR (DISPLAY)`	YEAR (DISPLAY)	text	0%	-	-
`STARTYEAR`	STARTYEAR	text	0%	-	-
`ENDYEAR`	ENDYEAR	text	0%	-	-
`REGION (CODE)`	REGION (CODE)	text	0%	-	-
`REGION (DISPLAY)`	REGION (DISPLAY)	text	0%	-	-
`COUNTRY (CODE)`	COUNTRY (CODE)	text	0%	-	-
`COUNTRY (DISPLAY)`	COUNTRY (DISPLAY)	text	0%	-	-
`DIMENSION (TYPE)`	DIMENSION (TYPE)	text	0%	-	-
`DIMENSION (CODE)`	DIMENSION (CODE)	text	0%	-	-
`DIMENSION (NAME)`	DIMENSION (NAME)	text	0%	-	-
`Numeric`	Numeric	text	0%	-	-
`Value`	Value	text	0%	-	-
`Low`	Low	text	0%	-	-
`High`	High	text	0%	-	-

PHL Philippines Historical Health Indicators PHL-HDX-Philippines___Historical_Health_Indicato Health

16,850 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

PHL Philippines Historical Health Indicators — 16,850 rows, 17 columns

Loading data…

Field details — 17 fields (type, nulls, unique, samples)

Extension Fields (17) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`GHO (CODE)`	GHO (CODE)	text	0%	-	-
`GHO (DISPLAY)`	GHO (DISPLAY)	text	0%	-	-
`GHO (URL)`	GHO (URL)	text	0%	-	-
`YEAR (DISPLAY)`	YEAR (DISPLAY)	text	0%	-	-
`STARTYEAR`	STARTYEAR	text	0%	-	-
`ENDYEAR`	ENDYEAR	text	0%	-	-
`REGION (CODE)`	REGION (CODE)	text	0%	-	-
`REGION (DISPLAY)`	REGION (DISPLAY)	text	0%	-	-
`COUNTRY (CODE)`	COUNTRY (CODE)	text	0%	-	-
`COUNTRY (DISPLAY)`	COUNTRY (DISPLAY)	text	0%	-	-
`DIMENSION (TYPE)`	DIMENSION (TYPE)	text	0%	-	-
`DIMENSION (CODE)`	DIMENSION (CODE)	text	0%	-	-
`DIMENSION (NAME)`	DIMENSION (NAME)	text	0%	-	-
`Numeric`	Numeric	text	0%	-	-
`Value`	Value	text	0%	-	-
`Low`	Low	text	0%	-	-
`High`	High	text	0%	-	-

PHL Philippines Education PHL-HDX-Philippines___Education Indicators

16,079 rows · 1 table(s) · 2020 HDX 0 1 2 3 1 SEL 5 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Philippines Education — 16,079 rows, 6 columns

Loading data…

Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`Country ISO3`	Country ISO3	text	SEL+	0%	-	-

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Country Name`	Country Name	text	0%	-	-
`Year`	Year	text	0%	-	-
`Indicator Name`	Indicator Name	text	0%	-	-
`Indicator Code`	Indicator Code	text	0%	-	-
`Value`	Value	text	0%	-	-

PHL Philippines Healthsites PHL-HDX-Philippines_Healthsites Health

15,252 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Philippines Healthsites — 15,252 rows, 35 columns

Loading data…

Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`X`	X	float	9%	91	120.590634537907, 123.805240250065, 123.817510266663,...
`Y`	Y	float	9%	91	15.3343079233724, 10.2510233671717, 10.2579437178888,...
`osm_id`	osm_id	string	0%	100	1667300362, 11469041173, 4631944097, 4047131089, 9849381766
`osm_type`	osm_type	string	0%	2	node, node, node, node, node
`completeness`	completeness	string	0%	8	15.625, 18.75, 25, 12.5, 18.75
`amenity`	amenity	string	7%	5	pharmacy, pharmacy, pharmacy, doctors, pharmacy
`healthcare`	healthcare	string	26%	8	pharmacy, pharmacy, pharmacy, pharmacy, doctor
`name`	name	string	9%	73	Vincarlo Pharma Drugstore, Rose Pharmacy, Rose Pharmacy,...
`operator`	operator	string	88%	11	Rodolfo Saavedra, M.D., Western Visayas Medical Center,...
`source`	source	string	96%	3	GPS, interpolation, interpolation, mercury website
`speciality`	speciality	string	94%	6	dentist, general;paediatrics;blood_check,...
`operator_type`	operator_type	string	95%	3	government, public, government, government, private
`operational_status`	operational_status	string	100%	-	-
`opening_hours`	opening_hours	string	90%	10	Mo-Su 09:00-20:00, Mo-Su 06:00-22:00, 07:00-22:00, Mo-Su...
`beds`	beds	string	100%	-	-
`staff_doctors`	staff_doctors	string	100%	-	-
`staff_nurses`	staff_nurses	string	100%	-	-
`health_amenity_type`	health_amenity_type	string	100%	-	-
`dispensing`	dispensing	string	81%	2	yes, yes, yes, yes, yes
`wheelchair`	wheelchair	string	97%	1	yes, yes, yes
`emergency`	emergency	string	100%	-	-
`insurance`	insurance	string	100%	-	-
`water_source`	water_source	string	100%	-	-
`electricity`	electricity	string	100%	-	-
`is_in_health_area`	is_in_health_area	string	100%	-	-
`is_in_health_zone`	is_in_health_zone	string	100%	-	-
`url`	url	string	100%	-	-
`addr_housenumber`	addr_housenumber	string	100%	-	-
`addr_street`	addr_street	string	49%	32	Cebu South Road, Natalio Bacalso Avenue, Natalio Bacalso...
`addr_postcode`	addr_postcode	string	78%	13	6045, 3309, 6046, 3005, 6052
+5 more extension fields — download the CSV/Parquet to see them all.

PHL Philippines Economy and Growth PHL-HDX-Philippines___Economy_and_Growth Indicators

11,848 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Philippines Economy and Growth — 11,848 rows, 247 columns

Loading data…

Field details — 247 fields (type, nulls, unique, samples)

Extension Fields (247) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	PHL
`Trade_in_services_pct_of_GDP`	Trade_in_services_pct_of_GDP	float	0%	1	19.3268460131213
`Communications_computer_etc._pct_of_service_imports_BoP`	Communications_computer_etc._pct_of_service_imports_BoP	float	0%	1	32.691464502541
`Primary_income_payments_BoP_current_USusd`	Primary_income_payments_BoP_current_USusd	float	0%	1	12779946040.2907
`Imports_of_goods_and_services_BoP_current_USusd`	Imports_of_goods_and_services_BoP_current_USusd	float	0%	1	161543811954.468
`Insurance_and_financial_services_pct_of_service_imports_BoP`	Insurance_and_financial_services_pct_of_service_imports_BoP	float	0%	1	11.8811329244484
`Goods_imports_BoP_current_USusd`	Goods_imports_BoP_current_USusd	float	0%	1	123919858028.284
`Service_imports_BoP_current_USusd`	Service_imports_BoP_current_USusd	float	0%	1	37623953926.1836
`Charges_for_the_use_of_intellectual_property_payments_BoP_current_USusd`	Charges_for_the_use_of_intellectual_property_payments_BoP_current_USusd	float	0%	1	443107068.46
`Imports_of_goods_services_and_primary_income_BoP_current_USusd`	Imports_of_goods_services_and_primary_income_BoP_current_USusd	float	0%	1	174323757994.759
`Transport_services_pct_of_service_imports_BoP`	Transport_services_pct_of_service_imports_BoP	float	0%	1	19.9182442902911
`Travel_services_pct_of_service_imports_BoP`	Travel_services_pct_of_service_imports_BoP	float	0%	1	33.9777269869803
`Foreign_direct_investment_net_outflows_BoP_current_USusd`	Foreign_direct_investment_net_outflows_BoP_current_USusd	float	0%	1	2871633477.4884
`Foreign_direct_investment_net_outflows_pct_of_GDP`	Foreign_direct_investment_net_outflows_pct_of_GDP	float	0%	1	0.622080708949349
`Secondary_income_other_sectors_payments_BoP_current_USusd`	Secondary_income_other_sectors_payments_BoP_current_USusd	float	0%	1	1153346398.47276
`Personal_remittances_paid_current_USusd`	Personal_remittances_paid_current_USusd	float	0%	1	268879630.201638
`Current_account_balance_BoP_current_USusd`	Current_account_balance_BoP_current_USusd	float	0%	1	-18262196995.7228
`Current_account_balance_pct_of_GDP`	Current_account_balance_pct_of_GDP	float	0%	1	-3.95613177765573
`Net_financial_account_BoP_current_USusd`	Net_financial_account_BoP_current_USusd	float	0%	1	-19594843232.1106
`Net_primary_income_BoP_current_USusd`	Net_primary_income_BoP_current_USusd	float	0%	1	4946227063.73568
`Net_trade_in_goods_and_services_BoP_current_USusd`	Net_trade_in_goods_and_services_BoP_current_USusd	float	0%	1	-54895208989.7739
`Net_trade_in_goods_BoP_current_USusd`	Net_trade_in_goods_BoP_current_USusd	float	0%	1	-68863406422.6474
`Net_errors_and_omissions_BoP_current_USusd`	Net_errors_and_omissions_BoP_current_USusd	float	0%	1	-1404936500.60783
`Foreign_direct_investment_net_BoP_current_USusd`	Foreign_direct_investment_net_BoP_current_USusd	float	0%	1	-6568395421.15439
`Portfolio_investment_net_BoP_current_USusd`	Portfolio_investment_net_BoP_current_USusd	float	0%	1	-4743750575.10458
`Reserves_and_related_items_BoP_current_USusd`	Reserves_and_related_items_BoP_current_USusd	float	0%	1	609606342.215797
`Net_secondary_income_BoP_current_USusd`	Net_secondary_income_BoP_current_USusd	float	0%	1	31686784930.3152
`Net_capital_account_BoP_current_USusd`	Net_capital_account_BoP_current_USusd	float	0%	1	72290264.22
`Grants_excluding_technical_cooperation_BoP_current_USusd`	Grants_excluding_technical_cooperation_BoP_current_USusd	float	0%	1	552855203.0
`Technical_cooperation_grants_BoP_current_USusd`	Technical_cooperation_grants_BoP_current_USusd	float	0%	1	130911045.0
+217 more extension fields — download the CSV/Parquet to see them all.

PHL Philippines Health PHL-HDX-Philippines___Health Health

10,165 rows · 1 table(s) · 2020 HDX 0 1 2 3 1 SEL 5 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Philippines Health — 10,165 rows, 6 columns

Loading data…

Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`Country ISO3`	Country ISO3	text	SEL+	0%	-	-

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Country Name`	Country Name	text	0%	-	-
`Year`	Year	text	0%	-	-
`Indicator Name`	Indicator Name	text	0%	-	-
`Indicator Code`	Indicator Code	text	0%	-	-
`Value`	Value	text	0%	-	-

PHL Philippines Environment PHL-HDX-Philippines___Environment Climate

5,009 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Philippines Environment — 5,009 rows, 147 columns

Loading data…

Field details — 147 fields (type, nulls, unique, samples)

Extension Fields (147) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	PHL
`Agricultural_land_pct_of_land_area`	Agricultural_land_pct_of_land_area	float	0%	1	42.6689472448603
`Arable_land_pct_of_land_area`	Arable_land_pct_of_land_area	float	0%	1	18.7476942683704
`Rural_land_area_where_elevation_is_below_5_meters_sq._km`	Rural_land_area_where_elevation_is_below_5_meters_sq._km	float	0%	1	12170.141244
`Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	4.1356910066334
`Urban_land_area_where_elevation_is_below_5_meters_sq._km`	Urban_land_area_where_elevation_is_below_5_meters_sq._km	float	0%	1	1511.452095905
`Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	0.513625825260924
`Land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	4.64931683189432
`Forest_area_sq._km`	Forest_area_sq._km	float	0%	1	72932.6
`Forest_area_pct_of_land_area`	Forest_area_pct_of_land_area	float	0%	1	24.4600731126539
`Average_precipitation_in_depth_mm_per_year`	Average_precipitation_in_depth_mm_per_year	float	0%	1	2348.0
`Land_area_sq._km`	Land_area_sq._km	float	0%	1	298170.0
`Rural_land_area_sq._km`	Rural_land_area_sq._km	float	0%	1	282119.58210558
`Urban_land_area_sq._km`	Urban_land_area_sq._km	float	0%	1	12151.465331954
`Surface_area_sq._km`	Surface_area_sq._km	float	0%	1	300000.0
`Access_to_clean_fuels_and_technologies_for_cooking_rural_pct_of_rural_population`	Access_to_clean_fuels_and_technologies_for_cooking_rural_pct_of_rural_population	float	0%	1	39.9
`Access_to_clean_fuels_and_technologies_for_cooking_urban_pct_of_urban_population`	Access_to_clean_fuels_and_technologies_for_cooking_urban_pct_of_urban_population	float	0%	1	79.8
`Access_to_clean_fuels_and_technologies_for_cooking_pct_of_population`	Access_to_clean_fuels_and_technologies_for_cooking_pct_of_population	float	0%	1	59.5
`Energy_intensity_level_of_primary_energy_MJ_usd2021_PPP_GDP`	Energy_intensity_level_of_primary_energy_MJ_usd2021_PPP_GDP	float	0%	1	2.78
`Access_to_electricity_pct_of_population`	Access_to_electricity_pct_of_population	float	0%	1	98.0
`Electricity_production_from_oil_gas_and_coal_sources_pct_of_total`	Electricity_production_from_oil_gas_and_coal_sources_pct_of_total	float	0%	1	77.864861229431
`Renewable_electricity_output_pct_of_total_electricity_output`	Renewable_electricity_output_pct_of_total_electricity_output	float	0%	1	22.7211103754847
`Electricity_production_from_renewable_sources_excluding_hydroelectric_kWh`	Electricity_production_from_renewable_sources_excluding_hydroelectric_kWh	float	0%	1	14838030000.0
`Electricity_production_from_renewable_sources_excluding_hydroelectric_pct_of_tot`	Electricity_production_from_renewable_sources_excluding_hydroelectric_pct_of_tot	float	0%	1	14.0338882058072
`Renewable_energy_consumption_pct_of_total_final_energy_consumption`	Renewable_energy_consumption_pct_of_total_final_energy_consumption	float	0%	1	28.0
`PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter`	PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter	float	0%	1	20.2887417122616
`PM2.5_pollution_population_exposed_to_levels_exceeding_WHO_Interim_Target-1_valu`	PM2.5_pollution_population_exposed_to_levels_exceeding_WHO_Interim_Target-1_valu	float	0%	1	0.0
`PM2.5_pollution_population_exposed_to_levels_exceeding_WHO_Interim_Target-2_valu`	PM2.5_pollution_population_exposed_to_levels_exceeding_WHO_Interim_Target-2_valu	float	0%	1	6.19320697791801
`PM2.5_pollution_population_exposed_to_levels_exceeding_WHO_Interim_Target-3_valu`	PM2.5_pollution_population_exposed_to_levels_exceeding_WHO_Interim_Target-3_valu	float	0%	1	78.5573277504976
`PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p`	PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p	float	0%	1	96.3706587650922
+117 more extension fields — download the CSV/Parquet to see them all.

PHL Philippines Gender PHL-HDX-Philippines___Gender Indicators

4,955 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Philippines Gender — 4,955 rows, 238 columns

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Field details — 238 fields (type, nulls, unique, samples)

Extension Fields (238) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	PHL
`Firms_with_female_top_manager_pct_of_firms`	Firms_with_female_top_manager_pct_of_firms	float	0%	1	43.44896317
`Firms_with_female_participation_in_ownership_pct_of_firms`	Firms_with_female_participation_in_ownership_pct_of_firms	float	0%	1	56.73667526
`Literacy_rate_youth_female_pct_of_females_ages_15-24`	Literacy_rate_youth_female_pct_of_females_ages_15-24	float	0%	1	99.5199966430664
`Literacy_rate_youth_ages_15-24_gender_parity_index_GPI`	Literacy_rate_youth_ages_15-24_gender_parity_index_GPI	float	0%	1	0.996100008487701
`Literacy_rate_youth_male_pct_of_males_ages_15-24`	Literacy_rate_youth_male_pct_of_males_ages_15-24	float	0%	1	100.0
`Literacy_rate_adult_female_pct_of_females_ages_15_and_above`	Literacy_rate_adult_female_pct_of_females_ages_15_and_above	float	0%	1	97.0
`Literacy_rate_adult_male_pct_of_males_ages_15_and_above`	Literacy_rate_adult_male_pct_of_males_ages_15_and_above	float	0%	1	98.4100036621094
`School_enrollment_primary_gross_gender_parity_index_GPI`	School_enrollment_primary_gross_gender_parity_index_GPI	float	0%	1	0.976957738399506
`School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI`	School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI	float	0%	1	1.02612137794495
`School_enrollment_secondary_gross_gender_parity_index_GPI`	School_enrollment_secondary_gross_gender_parity_index_GPI	float	0%	1	1.07713508605957
`School_enrollment_tertiary_gross_gender_parity_index_GPI`	School_enrollment_tertiary_gross_gender_parity_index_GPI	float	0%	1	1.2191020570979
`School_enrollment_preprimary_female_pct_gross`	School_enrollment_preprimary_female_pct_gross	float	0%	1	89.6743850708008
`School_enrollment_preprimary_male_pct_gross`	School_enrollment_preprimary_male_pct_gross	float	0%	1	90.7467803955078
`Primary_completion_rate_female_pct_of_relevant_age_group`	Primary_completion_rate_female_pct_of_relevant_age_group	float	0%	1	90.9169158208013
`Primary_completion_rate_male_pct_of_relevant_age_group`	Primary_completion_rate_male_pct_of_relevant_age_group	float	0%	1	91.9628576100481
`Educational_attainment_at_least_completed_primary_population_25+_years_female_pc`	Educational_attainment_at_least_completed_primary_population_25+_years_female_pc	float	0%	1	87.2008438110352
`Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_`	Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_	float	0%	1	84.1670989990234
`Educational_attainment_at_least_completed_primary_population_25+_years_total_pct`	Educational_attainment_at_least_completed_primary_population_25+_years_total_pct	float	0%	1	85.706413269043
`Primary_education_pupils_pct_female`	Primary_education_pupils_pct_female	float	0%	1	47.89458
`School_enrollment_primary_female_pct_gross`	School_enrollment_primary_female_pct_gross	float	0%	1	92.1194459029965
`School_enrollment_primary_male_pct_gross`	School_enrollment_primary_male_pct_gross	float	0%	1	95.8880950966532
`Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag`	Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag	float	0%	1	93.47241
`Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_`	Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_	float	0%	1	95.52592
`School_enrollment_primary_female_pct_net`	School_enrollment_primary_female_pct_net	float	0%	1	93.69001
`School_enrollment_primary_male_pct_net`	School_enrollment_primary_male_pct_net	float	0%	1	93.85718
`Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population`	Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population	float	0%	1	65.00299
`Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population`	Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population	float	0%	1	65.11555
`Persistence_to_grade_5_female_pct_of_cohort`	Persistence_to_grade_5_female_pct_of_cohort	float	0%	1	96.5060577392578
`Persistence_to_grade_5_male_pct_of_cohort`	Persistence_to_grade_5_male_pct_of_cohort	float	0%	1	93.9382781982422
+208 more extension fields — download the CSV/Parquet to see them all.

PHL Philippines Data on Conflict Events PHL-HDX-Philippines___Data_on_Conflict_Events Humanitarian

4,368 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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1 Admin 1 — 1 table(s)

PHL Philippines Data on Conflict Events — 4,368 rows, 50 columns

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Field details — 50 fields (type, nulls, unique, samples)

Extension Fields (50) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`id`	id	string	0%	100	123403, 124029, 125199, 123871, 123430
`relid`	relid	string	0%	100	PHI-1989-1-217-51, PHI-1989-1-217-1, PHI-1989-1-217-2,...
`year`	year	string	0%	2	1989, 1989, 1989, 1989, 1989
`active_year`	active_year	string	0%	1	true, true, true, true, true
`code_status`	code_status	string	0%	1	Clear, Clear, Clear, Clear, Clear
`type_of_violence`	type_of_violence	string	0%	1	1, 1, 1, 1, 1
`conflict_dset_id`	conflict_dset_id	string	0%	1	209, 209, 209, 209, 209
`conflict_new_id`	conflict_new_id	string	0%	1	209, 209, 209, 209, 209
`conflict_name`	conflict_name	string	0%	1	Philippines: Government, Philippines: Government,...
`dyad_dset_id`	dyad_dset_id	string	0%	1	411, 411, 411, 411, 411
`dyad_new_id`	dyad_new_id	string	0%	1	411, 411, 411, 411, 411
`dyad_name`	dyad_name	string	0%	1	Government of Philippines - CPP, Government of...
`side_a_dset_id`	side_a_dset_id	string	0%	1	154, 154, 154, 154, 154
`side_a_new_id`	side_a_new_id	string	0%	1	154, 154, 154, 154, 154
`side_a`	side_a	string	0%	1	Government of Philippines, Government of Philippines,...
`side_b_dset_id`	side_b_dset_id	string	0%	1	169, 169, 169, 169, 169
`side_b_new_id`	side_b_new_id	string	0%	1	169, 169, 169, 169, 169
`side_b`	side_b	string	0%	1	CPP, CPP, CPP, CPP, CPP
`number_of_sources`	number_of_sources	string	0%	3	-1, 1, -1, 1, 1
`source_article`	source_article	string	0%	75	Reuters 3 July 1989 "PHILIPPINES FORMS ELITE ANTI-REBEL...
`source_office`	source_office	string	81%	2	Reuters News, Reuters News, Reuters News, Reuters News,...
`source_date`	source_date	string	81%	15	1989-01-16, 1989-02-07, 1989-02-06, 1989-02-07, 1989-02-09
`source_headline`	source_headline	string	81%	15	EIGHT DIE IN PHILIPPINE FIGHTING, NINE KIDNAPPED.,...
`source_original`	source_original	string	1%	10	military spokesman, military spokesman, military...
`where_prec`	where_prec	string	0%	6	1, 1, 1, 4, 2
`where_coordinates`	where_coordinates	string	0%	70	Manila city, Makilala town, Sultan Kudarat town, Surigao...
`where_description`	where_description	string	0%	77	Manila City, Makilala town, Sultan Kudarat town, Surigao...
`adm_1`	adm_1	string	8%	39	Metropolitan Manila province, Cotabato province,...
`adm_2`	adm_2	string	39%	39	Manila City municipality, Makilala municipality, Sultan...
`latitude`	latitude	float	0%	67	14.6042, 6.9514, 7.27, 8.66667, 14.6042
+20 more extension fields — download the CSV/Parquet to see them all.

PHL Philippines Subnational Demographic and Health D PHL-HDX-Philippines___Subnational_Demographic_an Health

2,621 rows · 1 table(s) · 2020 HDX 0 1 2 3 1 SEL 29 ext ▶

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1 Admin 1 — 1 table(s)

PHL Philippines Subnational Demographic and Health D — 2,621 rows, 30 columns

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Field details — 30 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ISO3`	ISO3	text	SEL+	0%	-	-

Extension Fields (29) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Location`	Location	text	0%	-	-
`DataId`	DataId	text	0%	-	-
`Indicator`	Indicator	text	0%	-	-
`Value`	Value	text	0%	-	-
`Precision`	Precision	text	0%	-	-
`DHS_CountryCode`	DHS_CountryCode	text	0%	-	-
`CountryName`	CountryName	text	0%	-	-
`SurveyYear`	SurveyYear	text	0%	-	-
`SurveyId`	SurveyId	text	0%	-	-
`IndicatorId`	IndicatorId	text	0%	-	-
`IndicatorOrder`	IndicatorOrder	text	0%	-	-
`IndicatorType`	IndicatorType	text	0%	-	-
`CharacteristicId`	CharacteristicId	text	0%	-	-
`CharacteristicOrder`	CharacteristicOrder	text	0%	-	-
`CharacteristicCategory`	CharacteristicCategory	text	0%	-	-
`CharacteristicLabel`	CharacteristicLabel	text	0%	-	-
`ByVariableId`	ByVariableId	text	0%	-	-
`ByVariableLabel`	ByVariableLabel	text	0%	-	-
`IsTotal`	IsTotal	text	0%	-	-
`IsPreferred`	IsPreferred	text	0%	-	-
`SDRID`	SDRID	text	0%	-	-
`RegionId`	RegionId	text	0%	-	-
`SurveyYearLabel`	SurveyYearLabel	text	0%	-	-
`SurveyType`	SurveyType	text	0%	-	-
`DenominatorWeighted`	DenominatorWeighted	text	0%	-	-
`DenominatorUnweighted`	DenominatorUnweighted	text	0%	-	-
`CILow`	CILow	text	0%	-	-
`CIHigh`	CIHigh	text	0%	-	-
`LevelRank`	LevelRank	text	0%	-	-

PHL Philippines Accessibility Indicators PHL-HDX-Philippines___Accessibility_Indicators Infrastructure

2,080 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL Philippines Accessibility Indicators — 2,080 rows, 13 columns

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Field details — 13 fields (type, nulls, unique, samples)

Extension Fields (13) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`name`	name	text	0%	-	-
`iso`	iso	text	0%	-	-
`id`	id	text	0%	-	-
`country`	country	text	0%	-	-
`admin_level`	admin_level	text	0%	-	-
`category`	category	text	0%	-	-
`range_type`	range_type	text	0%	-	-
`range`	range	text	0%	-	-
`population_type`	population_type	text	0%	-	-
`population`	population	text	0%	-	-
`population_share`	population_share	text	0%	-	-
`population_interval`	population_interval	text	0%	-	-
`population_interval_share`	population_interval_share	text	0%	-	-

PHL PSA Poverty Province PHL-PSA-POVERTY_PROVINCE Indicators

2,060 rows · 1 table(s) · 2024 Philippine Statistics Authority 0 1 2 3 ▶

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2 Admin 2 — 1 table(s)

PHL PSA poverty_province — 2,060 rows, 4 columns

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Field details — 4 fields (type, nulls, unique, samples)

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Region/Province`	Region/Province	text	0%	-	-
`Item`	Item	text	0%	-	-
`Year`	Year	text	0%	-	-
`Annual Per Capita Poverty Threshold, Poverty Incidence and Magnitude of Poor Population`	Annual Per Capita Poverty Threshold, Poverty Incidence and Magnitude of Poor Population	text	0%	-	-

PHL PSA Poverty Threshold Region PHL-PSA-POVERTY_THRESHOLD_REGION Indicators

2,060 rows · 1 table(s) · 2024 Philippine Statistics Authority 0 1 2 3 ▶

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2 Admin 2 — 1 table(s)

PHL PSA poverty_threshold_region — 2,060 rows, 4 columns

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Field details — 4 fields (type, nulls, unique, samples)

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Region/Province`	Region/Province	text	0%	-	-
`Item`	Item	text	0%	-	-
`Year`	Year	text	0%	-	-
`Annual Per Capita Poverty Threshold, Poverty Incidence and Magnitude of Poor Families`	Annual Per Capita Poverty Threshold, Poverty Incidence and Magnitude of Poor Families	text	0%	-	-

PHL Philippines Agriculture and Rural Development PHL-HDX-Philippines___Agriculture_and_Rural_Deve Indicators

1,750 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL Philippines Agriculture and Rural Development — 1,750 rows, 37 columns

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Field details — 37 fields (type, nulls, unique, samples)

Extension Fields (37) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	PHL
`Fertilizer_consumption_pct_of_fertilizer_production`	Fertilizer_consumption_pct_of_fertilizer_production	float	0%	1	459.179580194014
`Fertilizer_consumption_kilograms_per_hectare_of_arable_land`	Fertilizer_consumption_kilograms_per_hectare_of_arable_land	float	0%	1	199.449373881932
`Agricultural_land_sq._km`	Agricultural_land_sq._km	float	0%	1	127226.0
`Agricultural_land_pct_of_land_area`	Agricultural_land_pct_of_land_area	float	0%	1	42.6689472448603
`Arable_land_hectares`	Arable_land_hectares	float	0%	1	5590000.0
`Arable_land_hectares_per_person`	Arable_land_hectares_per_person	float	0%	1	0.0486547276784882
`Arable_land_pct_of_land_area`	Arable_land_pct_of_land_area	float	0%	1	18.7476942683704
`Land_under_cereal_production_hectares`	Land_under_cereal_production_hectares	float	0%	1	7356944.0
`Permanent_cropland_pct_of_land_area`	Permanent_cropland_pct_of_land_area	float	0%	1	18.8905657846195
`Rural_land_area_where_elevation_is_below_5_meters_sq._km`	Rural_land_area_where_elevation_is_below_5_meters_sq._km	float	0%	1	12170.141244
`Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	4.1356910066334
`Forest_area_sq._km`	Forest_area_sq._km	float	0%	1	72932.6
`Forest_area_pct_of_land_area`	Forest_area_pct_of_land_area	float	0%	1	24.4600731126539
`Agricultural_irrigated_land_pct_of_total_agricultural_land`	Agricultural_irrigated_land_pct_of_total_agricultural_land	float	0%	1	9.26590538336052
`Average_precipitation_in_depth_mm_per_year`	Average_precipitation_in_depth_mm_per_year	float	0%	1	2348.0
`Land_area_sq._km`	Land_area_sq._km	float	0%	1	298170.0
`Rural_land_area_sq._km`	Rural_land_area_sq._km	float	0%	1	282119.58210558
`Cereal_production_metric_tons`	Cereal_production_metric_tons	float	0%	1	28465199.05
`Crop_production_index_2014-2016_=_100`	Crop_production_index_2014-2016_=_100	float	0%	1	103.98
`Food_production_index_2014-2016_=_100`	Food_production_index_2014-2016_=_100	float	0%	1	100.51
`Livestock_production_index_2014-2016_=_100`	Livestock_production_index_2014-2016_=_100	float	0%	1	90.42
`Surface_area_sq._km`	Surface_area_sq._km	float	0%	1	300000.0
`Cereal_yield_kg_per_hectare`	Cereal_yield_kg_per_hectare	float	0%	1	3869.2
`Access_to_electricity_rural_pct_of_rural_population`	Access_to_electricity_rural_pct_of_rural_population	float	0%	1	97.6
`Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_`	Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_	float	0%	1	4.58854136068604
`Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal	float	0%	1	74.62601713
`Agriculture_forestry_and_fishing_value_added_current_USusd`	Agriculture_forestry_and_fishing_value_added_current_USusd	float	0%	1	41926533969.6326
`Agriculture_forestry_and_fishing_value_added_pct_of_GDP`	Agriculture_forestry_and_fishing_value_added_pct_of_GDP	float	0%	1	9.08252678487007
`Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate`	Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate	float	0%	1	13.3015608838713
+7 more extension fields — download the CSV/Parquet to see them all.

PHL Philippines Climate Change PHL-HDX-Philippines___Climate_Change Climate

1,563 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL Philippines Climate Change — 1,563 rows, 49 columns

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Field details — 49 fields (type, nulls, unique, samples)

Extension Fields (49) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	PHL
`Agricultural_land_sq._km`	Agricultural_land_sq._km	float	0%	1	127226.0
`Agricultural_land_pct_of_land_area`	Agricultural_land_pct_of_land_area	float	0%	1	42.6689472448603
`Arable_land_pct_of_land_area`	Arable_land_pct_of_land_area	float	0%	1	18.7476942683704
`Rural_land_area_where_elevation_is_below_5_meters_sq._km`	Rural_land_area_where_elevation_is_below_5_meters_sq._km	float	0%	1	12170.141244
`Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	4.1356910066334
`Urban_land_area_where_elevation_is_below_5_meters_sq._km`	Urban_land_area_where_elevation_is_below_5_meters_sq._km	float	0%	1	1511.452095905
`Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	0.513625825260924
`Land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	4.64931683189432
`Forest_area_sq._km`	Forest_area_sq._km	float	0%	1	72932.6
`Forest_area_pct_of_land_area`	Forest_area_pct_of_land_area	float	0%	1	24.4600731126539
`Agricultural_irrigated_land_pct_of_total_agricultural_land`	Agricultural_irrigated_land_pct_of_total_agricultural_land	float	0%	1	9.26590538336052
`Average_precipitation_in_depth_mm_per_year`	Average_precipitation_in_depth_mm_per_year	float	0%	1	2348.0
`Cereal_yield_kg_per_hectare`	Cereal_yield_kg_per_hectare	float	0%	1	3869.2
`Foreign_direct_investment_net_inflows_pct_of_GDP`	Foreign_direct_investment_net_inflows_pct_of_GDP	float	0%	1	2.04498934693652
`Access_to_electricity_pct_of_population`	Access_to_electricity_pct_of_population	float	0%	1	98.0
`Electricity_production_from_coal_sources_pct_of_total`	Electricity_production_from_coal_sources_pct_of_total	float	0%	1	59.5695646325606
`Electricity_production_from_hydroelectric_sources_pct_of_total`	Electricity_production_from_hydroelectric_sources_pct_of_total	float	0%	1	9.04272967762184
`Electricity_production_from_natural_gas_sources_pct_of_total`	Electricity_production_from_natural_gas_sources_pct_of_total	float	0%	1	16.0373043985114
`Electricity_production_from_nuclear_sources_pct_of_total`	Electricity_production_from_nuclear_sources_pct_of_total	float	0%	1	0.0
`Electricity_production_from_oil_sources_pct_of_total`	Electricity_production_from_oil_sources_pct_of_total	float	0%	1	2.25799219835897
`Renewable_electricity_output_pct_of_total_electricity_output`	Renewable_electricity_output_pct_of_total_electricity_output	float	0%	1	22.7211103754847
`Electricity_production_from_renewable_sources_excluding_hydroelectric_kWh`	Electricity_production_from_renewable_sources_excluding_hydroelectric_kWh	float	0%	1	14838030000.0
`Electricity_production_from_renewable_sources_excluding_hydroelectric_pct_of_tot`	Electricity_production_from_renewable_sources_excluding_hydroelectric_pct_of_tot	float	0%	1	14.0338882058072
`Renewable_energy_consumption_pct_of_total_final_energy_consumption`	Renewable_energy_consumption_pct_of_total_final_energy_consumption	float	0%	1	28.0
`Energy_use_kg_of_oil_equivalent_per_usd1000_GDP_constant_2021_PPP`	Energy_use_kg_of_oil_equivalent_per_usd1000_GDP_constant_2021_PPP	float	0%	1	58.2412762588087
`Electric_power_consumption_kWh_per_capita`	Electric_power_consumption_kWh_per_capita	float	0%	1	884.680258485773
`Energy_use_kg_of_oil_equivalent_per_capita`	Energy_use_kg_of_oil_equivalent_per_capita	float	0%	1	550.793803994865
`Droughts_floods_extreme_temperatures_pct_of_population_average_1990-2009`	Droughts_floods_extreme_temperatures_pct_of_population_average_1990-2009	float	0%	1	0.806384865170547
`Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_`	Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_	float	0%	1	4.58854136068604
+19 more extension fields — download the CSV/Parquet to see them all.

PHL Philippines Infrastructure PHL-HDX-Philippines___Infrastructure Infrastructure

1,345 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Philippines Infrastructure — 1,345 rows, 51 columns

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Field details — 51 fields (type, nulls, unique, samples)

Extension Fields (51) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	PHL
`ICT_service_exports_BoP_current_USusd`	ICT_service_exports_BoP_current_USusd	float	0%	1	8085429150.08811
`ICT_service_exports_pct_of_service_exports_BoP`	ICT_service_exports_pct_of_service_exports_BoP	float	0%	1	15.6718201065455
`Electricity_production_from_coal_sources_pct_of_total`	Electricity_production_from_coal_sources_pct_of_total	float	0%	1	59.5695646325606
`Electricity_production_from_hydroelectric_sources_pct_of_total`	Electricity_production_from_hydroelectric_sources_pct_of_total	float	0%	1	9.04272967762184
`Electric_power_transmission_and_distribution_losses_pct_of_output`	Electric_power_transmission_and_distribution_losses_pct_of_output	float	0%	1	9.58884455006053
`Electricity_production_from_natural_gas_sources_pct_of_total`	Electricity_production_from_natural_gas_sources_pct_of_total	float	0%	1	16.0373043985114
`Electricity_production_from_nuclear_sources_pct_of_total`	Electricity_production_from_nuclear_sources_pct_of_total	float	0%	1	0.0
`Electricity_production_from_oil_sources_pct_of_total`	Electricity_production_from_oil_sources_pct_of_total	float	0%	1	2.25799219835897
`Electric_power_consumption_kWh_per_capita`	Electric_power_consumption_kWh_per_capita	float	0%	1	884.680258485773
`Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal	float	0%	1	74.62601713
`Annual_freshwater_withdrawals_domestic_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_domestic_pct_of_total_freshwater_withdrawal	float	0%	1	10.433023
`Annual_freshwater_withdrawals_industry_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_industry_pct_of_total_freshwater_withdrawal	float	0%	1	14.94095987
`Annual_freshwater_withdrawals_total_billion_cubic_meters`	Annual_freshwater_withdrawals_total_billion_cubic_meters	float	0%	1	91.03689247
`Annual_freshwater_withdrawals_total_pct_of_internal_resources`	Annual_freshwater_withdrawals_total_pct_of_internal_resources	float	0%	1	19.0056142943633
`Renewable_internal_freshwater_resources_total_billion_cubic_meters`	Renewable_internal_freshwater_resources_total_billion_cubic_meters	float	0%	1	479.0
`Renewable_internal_freshwater_resources_per_capita_cubic_meters`	Renewable_internal_freshwater_resources_per_capita_cubic_meters	float	0%	1	4203.06920924684
`Investment_in_energy_with_private_participation_current_USusd`	Investment_in_energy_with_private_participation_current_USusd	float	0%	1	2081560000.0
`Investment_in_ICT_with_private_participation_current_USusd`	Investment_in_ICT_with_private_participation_current_USusd	float	0%	1	3695290000.0
`Investment_in_transport_with_private_participation_current_USusd`	Investment_in_transport_with_private_participation_current_USusd	float	0%	1	1793820000.0
`Investment_in_water_and_sanitation_with_private_participation_current_USusd`	Investment_in_water_and_sanitation_with_private_participation_current_USusd	float	0%	1	3680000.0
`Public_private_partnerships_investment_in_energy_current_USusd`	Public_private_partnerships_investment_in_energy_current_USusd	float	0%	1	2081560000.0
`Public_private_partnerships_investment_in_ICT_current_USusd`	Public_private_partnerships_investment_in_ICT_current_USusd	float	0%	1	3695290000.0
`Public_private_partnerships_investment_in_transport_current_USusd`	Public_private_partnerships_investment_in_transport_current_USusd	float	0%	1	1793820000.0
`Public_private_partnerships_investment_in_water_and_sanitation_current_USusd`	Public_private_partnerships_investment_in_water_and_sanitation_current_USusd	float	0%	1	3680000.0
`Industrial_design_applications_nonresident_by_count`	Industrial_design_applications_nonresident_by_count	float	0%	1	690.0
`Industrial_design_applications_resident_by_count`	Industrial_design_applications_resident_by_count	float	0%	1	682.0
`Trademark_applications_nonresident_by_count`	Trademark_applications_nonresident_by_count	float	0%	1	29927.0
`Trademark_applications_resident_by_count`	Trademark_applications_resident_by_count	float	0%	1	34976.0
`Air_transport_registered_carrier_departures_worldwide`	Air_transport_registered_carrier_departures_worldwide	float	0%	1	283131.0
+21 more extension fields — download the CSV/Parquet to see them all.

PHL Airports in the Philippines PHL-HDX-Airports_in_the_Philippines Infrastructure

860 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

3 Admin 3 — 1 table(s)

PHL Airports in the Philippines — 860 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`id`	id	string	0%	100	5689, 5742, 5687, 5744, 5736
`ident`	ident	string	0%	100	RPLL, RPVM, RPLC, RPVP, RPVE
`type`	type	string	0%	5	large_airport, large_airport, large_airport,...
`name`	name	string	0%	99	Ninoy Aquino International Airport, Mactan Cebu...
`latitude_deg`	latitude_deg	float	0%	99	14.5086, 10.309261, 15.186, 9.742044, 11.9245
`longitude_deg`	longitude_deg	float	0%	99	121.019997, 123.97974, 120.559998, 118.75911, 121.954002
`elevation_ft`	elevation_ft	string	21%	60	75, 31, 484, 71, 7
`continent`	continent	string	0%	1	AS, AS, AS, AS, AS
`country_name`	country_name	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`iso_country`	iso_country	string	0%	1	PH, PH, PH, PH, PH
`region_name`	region_name	string	0%	55	National Capital Region (Metropolitan Manila), Cebu...
`iso_region`	iso_region	string	0%	55	PH-00, PH-CEB, PH-PAM, PH-PLW, PH-AKL
`local_region`	local_region	string	0%	55	00, CEB, PAM, PLW, AKL
`municipality`	municipality	string	0%	91	Manila (Pasay), Cebu City/Lapu-Lapu City, Mabalacat,...
`scheduled_service`	scheduled_service	string	0%	2	1, 1, 1, 1, 1
`gps_code`	gps_code	string	26%	74	RPLL, RPVM, RPLC, RPVP, RPVE
`icao_code`	icao_code	string	39%	61	RPLL, RPVM, RPLC, RPVP, RPVE
`iata_code`	iata_code	string	47%	53	MNL, CEB, CRK, PPS, MPH
`local_code`	local_code	string	96%	4	DZR, GUI, ACFC, RP15
`home_link`	home_link	string	90%	10	https://newnaia.com.ph/,...
`wikipedia_link`	wikipedia_link	string	20%	75	https://en.wikipedia.org/wiki/Ninoy_Aquino_International_...
`keywords`	keywords	string	43%	57	Manila International Airport, Jesus Villamor Air Base,...
`score`	score	string	0%	12	1014275, 1275, 1000, 1000, 750
`last_updated`	last_updated	string	0%	98	2026-01-16T05:05:15+00:00, 2026-01-15T13:47:18+00:00,...

PHL Global Data Lab PHL-GDL Development Indices

612 rows · 1 table(s) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

PHL GDL - Subnational Indices — 612 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL, PHL, PHL, PHL, PHL
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	18	Total, ARMM, Cordillera Admin Region, I-Ilocos, II-Cagayan Valley
`human_development_index`	Human development index	float	SEL	0%	73	0.614, 0.516, 0.592, 0.636, 0.636
`health_index`	Health index	float	SEL	0%	72	0.683, 0.651, 0.688, 0.718, 0.687
`education_index`	Education index	float	SEL	0%	77	0.596, 0.471, 0.567, 0.606, 0.627
`income_index`	Income index	float	SEL	0%	68	0.567, 0.448, 0.531, 0.592, 0.597
`life_expectancy`	Life expectancy	float	SEL	0%	97	64.38, 62.29, 64.71, 66.67, 64.63
`mean_years_schooling`	Mean years schooling	float	SEL	0%	100	8.945, 6.526, 8.313, 9.152, 9.468

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	6	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

PHL Philippines Poverty PHL-HDX-Philippines___Poverty Indicators

244 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Philippines Poverty — 244 rows, 23 columns

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Field details — 23 fields (type, nulls, unique, samples)

Extension Fields (23) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	PHL
`Population_living_in_slums_pct_of_urban_population`	Population_living_in_slums_pct_of_urban_population	float	0%	1	35.874
`Income_share_held_by_second_20pct`	Income_share_held_by_second_20pct	float	0%	1	10.7
`Income_share_held_by_third_20pct`	Income_share_held_by_third_20pct	float	0%	1	14.6
`Income_share_held_by_fourth_20pct`	Income_share_held_by_fourth_20pct	float	0%	1	20.9
`Income_share_held_by_highest_20pct`	Income_share_held_by_highest_20pct	float	0%	1	46.9
`Income_share_held_by_highest_10pct`	Income_share_held_by_highest_10pct	float	0%	1	31.6
`Proportion_of_people_living_below_50_percent_of_median_income_pct`	Proportion_of_people_living_below_50_percent_of_median_income_pct	float	0%	1	10.6
`Income_share_held_by_lowest_10pct`	Income_share_held_by_lowest_10pct	float	0%	1	2.9
`Income_share_held_by_lowest_20pct`	Income_share_held_by_lowest_20pct	float	0%	1	6.9
`Poverty_headcount_ratio_at_usd3.00_a_day_2021_PPP_pct_of_population`	Poverty_headcount_ratio_at_usd3.00_a_day_2021_PPP_pct_of_population	float	0%	1	5.3
`Poverty_gap_at_usd3.00_a_day_2021_PPP_pct`	Poverty_gap_at_usd3.00_a_day_2021_PPP_pct	float	0%	1	1.0
`Gini_index`	Gini_index	float	0%	1	39.3
`Poverty_headcount_ratio_at_usd4.20_a_day_2021_PPP_pct_of_population`	Poverty_headcount_ratio_at_usd4.20_a_day_2021_PPP_pct_of_population	float	0%	1	16.9
`Poverty_gap_at_usd4.20_a_day_2021_PPP_pct`	Poverty_gap_at_usd4.20_a_day_2021_PPP_pct	float	0%	1	3.7
`Poverty_headcount_ratio_at_national_poverty_lines_pct_of_population`	Poverty_headcount_ratio_at_national_poverty_lines_pct_of_population	float	0%	1	15.5
`Poverty_headcount_ratio_at_usd8.30_a_day_2021_PPP_pct_of_population`	Poverty_headcount_ratio_at_usd8.30_a_day_2021_PPP_pct_of_population	float	0%	1	58.7
`Poverty_gap_at_usd8.30_a_day_2021_PPP_pct`	Poverty_gap_at_usd8.30_a_day_2021_PPP_pct	float	0%	1	21.5
`Survey_mean_consumption_or_income_per_capita_bottom_40pct_of_population_2021_PPP`	Survey_mean_consumption_or_income_per_capita_bottom_40pct_of_population_2021_PPP	float	0%	1	4.37
`Annualized_average_growth_rate_in_per_capita_real_survey_mean_consumption_or_inc`	Annualized_average_growth_rate_in_per_capita_real_survey_mean_consumption_or_inc	float	0%	1	-0.05
`Survey_mean_consumption_or_income_per_capita_total_population_2021_PPP_usd_per_d`	Survey_mean_consumption_or_income_per_capita_total_population_2021_PPP_usd_per_d	float	0%	1	9.93
`Multidimensional_poverty_headcount_ratio_household_pct_of_total_households`	Multidimensional_poverty_headcount_ratio_household_pct_of_total_households	float	0%	1	17.3
`Multidimensional_poverty_index_scale_0-1`	Multidimensional_poverty_index_scale_0-1	float	0%	1	0.071

PHL USAID DHS Program PHL-DHS Health Surveys

199 rows · 2 table(s) · 2022 USAID DHS Program 0 1 2 3 6 SEL 2 CCL 10 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 2 table(s)

PHL DHS - Ethnicity Indicators — 60 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	45	92.3, 93.0, 97.1, 80.5, 81.0
`men_who_are_literate`	Men who are literate	float	CCL	67%	18	92.0, 81.1, 96.8, 98.2, 96.2

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`survey_year`	survey_year	integer	0%	3	2003, 2008, 2022, 2003, 2008
`region`	region	string	0%	20	Mindanao, Mindanao, Mindanao, ..BARMM, ..BARMM
`survey_id`	survey_id	string	0%	3	PH2003DHS, PH2008DHS, PH2022DHS, PH2003DHS, PH2008DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

PHL DHS - Health Indicators — 139 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	78	15.6, 18.7, 22.2, 22.6, 23.5
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	43	42.0, 46.0, 34.0, 30.0, 30.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	51	75.0, 74.0, 49.0, 47.0, 44.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	88	75.4, 71.5, 62.4, 72.9, 71.8

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`survey_year`	survey_year	integer	0%	7	1993, 1998, 2003, 2008, 2013
`region`	region	string	0%	15	Mindanao, Mindanao, Mindanao, Mindanao, Mindanao
`survey_id`	survey_id	string	0%	7	PH1993DHS, PH1998DHS, PH2003DHS, PH2008DHS, PH2013DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

PHL Glottolog Language Catalog PHL-GLOTTOLOG Language

179 rows · 1 table(s) · 2024 Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Glottolog - Languages — 179 rows, 16 columns

Loading data…

Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	100	aben1249, adas1235, agta1234, agus1235, agut1237
`name`	Name	string	CCL	0%	100	Abenlen Ayta, Adasen, Agta-Pahanan, Agusan Manobo, Agutaynen
`iso639_3`	Iso639 3	string	CCL	0%	100	abp, tiu, apf, msm, agn
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	6	aust1307, aust1307, aust1307, aust1307, aust1307
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	74	abel1234, iban1268, para1320, east2478, kala1389
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	4	['PH'], ['PH'], ['PH'], ['PH'], ['PH']
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	9	0, 2, 0, 3, 0

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	1%	99	15.4131, 17.8187, 17.0538, 8.62731, 10.5328
`longitude`	longitude	float	1%	98	120.2, 120.905, 122.2802, 125.742, 119.655
`classification`	classification	string	0%	1	[], [], [], [], []

PHL Philippines National Demographic and Health Data PHL-HDX-Philippines___National_Demographic_and_H Health

152 rows · 1 table(s) · 2020 HDX 0 1 2 3 1 SEL 28 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

PHL Philippines National Demographic and Health Data — 152 rows, 29 columns

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Field details — 29 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ISO3`	ISO3	text	SEL+	0%	-	-

Extension Fields (28) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`DataId`	DataId	text	0%	-	-
`Indicator`	Indicator	text	0%	-	-
`Value`	Value	text	0%	-	-
`Precision`	Precision	text	0%	-	-
`DHS_CountryCode`	DHS_CountryCode	text	0%	-	-
`CountryName`	CountryName	text	0%	-	-
`SurveyYear`	SurveyYear	text	0%	-	-
`SurveyId`	SurveyId	text	0%	-	-
`IndicatorId`	IndicatorId	text	0%	-	-
`IndicatorOrder`	IndicatorOrder	text	0%	-	-
`IndicatorType`	IndicatorType	text	0%	-	-
`CharacteristicId`	CharacteristicId	text	0%	-	-
`CharacteristicOrder`	CharacteristicOrder	text	0%	-	-
`CharacteristicCategory`	CharacteristicCategory	text	0%	-	-
`CharacteristicLabel`	CharacteristicLabel	text	0%	-	-
`ByVariableId`	ByVariableId	text	0%	-	-
`ByVariableLabel`	ByVariableLabel	text	0%	-	-
`IsTotal`	IsTotal	text	0%	-	-
`IsPreferred`	IsPreferred	text	0%	-	-
`SDRID`	SDRID	text	0%	-	-
`RegionId`	RegionId	text	0%	-	-
`SurveyYearLabel`	SurveyYearLabel	text	0%	-	-
`SurveyType`	SurveyType	text	0%	-	-
`DenominatorWeighted`	DenominatorWeighted	text	0%	-	-
`DenominatorUnweighted`	DenominatorUnweighted	text	0%	-	-
`CILow`	CILow	text	0%	-	-
`CIHigh`	CIHigh	text	0%	-	-
`LevelRank`	LevelRank	text	0%	-	-

PHL LandScan Global (ORNL) PHL-LANDSCAN Modeled Population

135 rows · 3 table(s) · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	The Philippines
`admin_code`	Admin code	string	SEL	0%	1	24100683B85265433280220
`area_sqkm`	Area sqkm	float	SEL	0%	1	295277.5799
`pop_2024`	Population count	integer	SEL	0%	1	114764395
`pop_density_2024`	Population density	float	SEL	0%	1	388.67

1 Admin 1 — 1 table(s)

PHL LandScan - Population Admin1 (admin_1) — 17 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL, PHL, PHL, PHL, PHL
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	17	Calabarzon, NCR, Central Luzon, Western Visayas, Central Visayas
`admin_code`	Admin code	string	SEL	0%	17	36201628B13373758884154, 36201628B69282955287113,...
`area_sqkm`	Area sqkm	float	SEL	0%	17	15849.288, 599.3476, 21309.1386, 20042.983, 14291.9075
`pop_2024`	Population count	integer	SEL	0%	17	17247860, 14479703, 13367681, 8323309, 8319521
`pop_density_2024`	Population density	float	SEL	0%	17	1088.24, 24159.11, 627.32, 415.27, 582.11

Locality Locality — 1 table(s)

PHL LandScan - Cities (locality) — 117 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL, PHL, PHL, PHL, PHL
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	99	Manila, Cebu City, Davao City, Angeles, Dagupan [Lingayen]
`admin_code`	Admin code	integer	SEL	0%	100	2323, 5065, 5872, 2005, 645
`area_sqkm`	Area sqkm	float	SEL	0%	100	2540.0607, 413.4069, 225.5277, 306.219, 356.9656
`pop_2024`	Population count	integer	SEL	0%	100	27215799, 3076557, 1376956, 1369661, 837487
`pop_density_2024`	Population density	float	SEL	0%	100	10714.63, 7441.96, 6105.49, 4472.82, 2346.13

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	100	25921189, 3191585, 1651086, 1513047, 973316
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	90	1.05, 0.964, 0.834, 0.905, 0.86

PHL World Bank Open Data PHL-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

PHL World Bank - Development Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PH, PH, PH, PH, PH
`population_count`	Population count	float	SEL	2%	65	27891897.0, 28792621.0, 29723536.0, 30674731.0, 31643032.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	59.175, 59.469, 59.755, 60.018, 60.13
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	269.465146474794, 283.794741192369, 166.689221357377,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	83%	11	83.3199996948242, 93.5699996948242, 93.9199981689453,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	58	101.0, 98.0, 95.4, 93.3, 91.3
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	82%	12	34.4, 40.6, 36.8, 33.0, 24.9

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

PHL World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PH, PH, PH, PH, PH
`life_expectancy`	Life expectancy	float	SEL	3%	64	59.175, 59.469, 59.755, 60.018, 60.13
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	44	25.2, 25.3, 25.3, 25.3, 25.4
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	58	101.0, 98.0, 95.4, 93.3, 91.3
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	33	204.0, 199.0, 191.0, 184.0, 177.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.996, 6.994, 6.98, 6.952, 6.886
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	47.158, 46.699, 46.199, 45.604, 44.792
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	62	10.014, 9.732, 9.462, 9.203, 9.031
`physicians_per_1000`	Physicians per 1000	float	SEL	49%	32	0.146, 0.111, 0.113, 0.128, 0.15
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	46%	27	0.838957667350769, 1.18980002403259, 1.70949995517731,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	25	47.0, 54.0, 54.0, 55.0, 57.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	3.05512357, 2.84775972, 2.63767385, 3.07663488, 3.0468533

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

PHL GHS Urban Centre Database (EU JRC) PHL-GHSL_UCDB Modeled Population

117 rows · 1 table(s) · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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Locality Locality — 1 table(s)

PHL GHS-UCDB - Cities (locality) — 117 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	99	Manila, Cebu City, Davao City, Angeles, Dagupan [Lingayen]
`country_code`	Country code	string	SEL	0%	1	PHL, PHL, PHL, PHL, PHL
`population`	Population count	integer	SEL	0%	100	25921189, 3191585, 1651086, 1513047, 973316

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	100	2323, 5065, 5872, 2005, 645
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

PHL Philippines Languages PHL-HDX-Philippines__Languages Ethnolinguistic

117 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL Philippines Languages — 117 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_code`	location_code	string	0%	1	PHL, PHL, PHL, PHL, PHL
`location_name`	location_name	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`location_level`	location_level	string	0%	1	0, 0, 0, 0, 0
`language_code`	language_code	string	0%	100	pamp1243, tina1248, maga1263, agut1237, sang1337
`language_name`	language_name	string	0%	100	Pampanga, Tinà Sambal, Mag-Anchi Ayta, Agutaynen, Sangil
`language_rank`	language_rank	string	0%	100	7, 34, 108, 82, 75
`proportion_value`	proportion_value	float	0%	100	0.02675136405664363, 0.0012913360714492592,...
`reliability_score`	reliability_score	float	0%	1	0.883, 0.883, 0.883, 0.883, 0.883
`dataset_name`	dataset_name	string	0%	1	Philippines Census 2010 (IPUMS extract), Philippines...
`url`	url	string	0%	1	https://api.ipums.org/downloads/ipumsi/api/v1/extracts/24...
`source`	source	string	0%	1	IPUMS International, IPUMS International, IPUMS...
`datetime_published`	datetime_published	string	0%	1	12-31-2010, 12-31-2010, 12-31-2010, 12-31-2010, 12-31-2010
`date_creation`	date_creation	string	0%	1	08-07-2025 17:44:24, 08-07-2025 17:44:24, 08-07-2025...
`representivity_rating`	representivity_rating	string	0%	1	very_high, very_high, very_high, very_high, very_high

PHL UNHCR Refugee Data Finder PHL-UNHCR Migration

100 rows · 2 table(s) · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

PHL UNHCR - Hosted Populations — 51 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

PHL UNHCR - Origin Populations — 49 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

PHL HDX HAPI Data for Philippines PHL-HDX-HDX_HAPI_Data_for_Philippines Indicators

89 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL HDX HAPI Data for Philippines — 89 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Extension Fields (16) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_code`	location_code	string	0%	1	PHL, PHL, PHL, PHL, PHL
`has_hrp`	has_hrp	string	0%	1	False, False, False, False, False
`in_gho`	in_gho	string	0%	1	True, True, True, True, True
`provider_admin1_name`	provider_admin1_name	string	17%	6	Region VIII, Region VI, Region VI, Region VI, Region VI
`provider_admin2_name`	provider_admin2_name	string	49%	10	Capiz, Capiz, Iloilo, Iloilo, Iloilo
`admin1_code`	admin1_code	string	17%	6	PH08, PH06, PH06, PH06, PH06
`admin1_name`	admin1_name	string	17%	6	Region VIII (Eastern Visayas), Region VI (Western...
`admin2_code`	admin2_code	string	100%	-	-
`admin2_name`	admin2_name	string	100%	-	-
`admin_level`	admin_level	string	0%	3	1, 0, 0, 0, 0
`operation`	operation	string	0%	3	Typhoon Haiyan, Typhoon Haiyan, Earthquakes in Mindanao,...
`assessment_type`	assessment_type	string	0%	2	SA, BA, SA, SA, SA
`population`	population	string	0%	69	34522, 24867, 21350, 25448, 26318
`reporting_round`	reporting_round	string	0%	11	1, 6, 1, 2, 3
`reference_period_start`	reference_period_start	string	0%	12	2013-11-30, 2014-04-30, 2019-11-30, 2019-11-30, 2019-11-30
`reference_period_end`	reference_period_end	string	0%	12	2013-11-30, 2014-04-30, 2019-11-30, 2019-11-30, 2019-11-30

PHL Philippines Risk Assessment Indicators PHL-HDX-Philippines___Risk_Assessment_Indicators Indicators

88 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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2 Admin 2 — 1 table(s)

PHL Philippines Risk Assessment Indicators — 88 rows, 5 columns

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Field details — 5 fields (type, nulls, unique, samples)

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ADM2_PCODE`	ADM2_PCODE	text	0%	-	-
`ADM_PCODE`	ADM_PCODE	text	0%	-	-
`education_count`	education_count	text	0%	-	-
`hospitals_count`	hospitals_count	text	0%	-	-
`primary_healthcare_count`	primary_healthcare_count	text	0%	-	-

PHL HDX Subnational Population PHL-HDX-SUBNATIONAL-POP Census

54 rows · 1 table(s) · 2024 OCHA HDX Humanitarian Data Exchange 0 1 2 3 ▶

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2 Admin 2 — 1 table(s)

PHL Subnational Population — 54 rows, 19 columns

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Field details — 19 fields (type, nulls, unique, samples)

Extension Fields (19) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ISO3`	ISO3	string	0%	1	PHL, PHL, PHL, PHL, PHL
`Country`	Country	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`ADM1_PCODE`	ADM1 PCODE	string	100%	-	-
`ADM1_NAME`	ADM1 NAME	string	100%	-	-
`ADM2_PCODE`	ADM2 PCODE	string	100%	-	-
`ADM2_NAME`	ADM2 NAME	string	100%	-	-
`ADM3_PCODE`	ADM3 PCODE	string	100%	-	-
`ADM3_NAME`	ADM3 NAME	string	100%	-	-
`ADM4_PCODE`	ADM4 PCODE	string	100%	-	-
`ADM4_NAME`	ADM4 NAME	string	100%	-	-
`Population_group`	Population group	string	0%	54	F_TL, M_TL, T_TL, F_00_04, F_05_09
`Gender`	Gender	string	0%	3	f, m, all, f, f
`Age_range`	Age range	string	0%	18	all, all, all, 0-4, 5-9
`Age_min`	Age min	string	6%	17	0, 5, 10, 15, 20
`Age_max`	Age max	string	11%	16	4, 9, 14, 19, 24
`Population`	Population	string	0%	54	57185530, 58192462, 115377992, 5399605, 5416067
`Reference_year`	Reference year	string	0%	1	2025, 2025, 2025, 2025, 2025
`Source`	Source	string	0%	1	Philippines Statistics Authority (PSA), Philippines...
`Contributor`	Contributor	string	0%	1	UNFPA, UNFPA, UNFPA, UNFPA, UNFPA

PHL Philippines Multidimensional Poverty Index PHL-HDX-Philippines_Multidimensional_Poverty_Ind Indicators

18 rows · 1 table(s) · 2020 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL Philippines Multidimensional Poverty Index — 18 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Country ISO3`	Country ISO3	string	0%	1	PHL, PHL, PHL, PHL, PHL
`Admin 1 PCode`	Admin 1 PCode	string	6%	17	PH01, PH02, PH03, PH04, PH05
`Admin 1 Name`	Admin 1 Name	string	6%	17	Ilocos, Cagayan Valley, Central Luzon, Calabarzon, Bicol
`MPI`	MPI	float	0%	18	0.0158, 0.0112, 0.0052, 0.0071, 0.0077
`Headcount Ratio`	Headcount Ratio	float	0%	18	3.8867, 2.7566, 1.2956, 1.74, 2.1489
`Intensity of Deprivation`	Intensity of Deprivation	float	0%	18	40.6213, 40.6718, 40.2047, 40.5631, 35.8498
`Vulnerable to Poverty`	Vulnerable to Poverty	float	0%	18	5.243, 2.1204, 3.5301, 1.584, 2.2877
`In Severe Poverty`	In Severe Poverty	float	0%	18	0.6867, 0.4855, 0.3563, 0.3724, 0.0716
`Survey`	Survey	string	0%	1	DHS, DHS, DHS, DHS, DHS
`Start Date`	Start Date	string	0%	1	2022-01-01 00:00:00+00:00, 2022-01-01 00:00:00+00:00,...
`End Date`	End Date	string	0%	1	2022-12-31 23:59:59+00:00, 2022-12-31 23:59:59+00:00,...

PHL Google Community Mobility (2020-2022) PHL-GOOGLE-MOBILITY Mobility

17 rows · 1 table(s) · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

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1 Admin 1 — 1 table(s)

PHL Mobility by Region — 17 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PH, PH, PH, PH, PH
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	PHL, PHL, PHL, PHL, PHL

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	17	18.08, -6.84, -15.24, -9.52, 3.26
`grocery`	grocery	float	0%	17	37.01, 41.76, 8.8, 24.69, 29.21
`parks`	parks	float	0%	17	29.26, 40.77, 30.3, 16.26, 26.06
`transit`	transit	float	0%	17	-33.92, -13.85, -34.95, 12.54, -22.48
`workplaces`	workplaces	float	0%	17	-9.92, -3.89, -16.58, -13.97, -7.34
`residential`	residential	float	0%	17	14.19, 19.7, 19.1, 18.98, 13.67
`region`	region	string	0%	17	Autonomous Region in Muslim Mindanao, Bicol, Cagayan...
`observation_count`	observation_count	integer	0%	1	974, 974, 974, 974, 974

PHL OpenFactBook PHL-OPENFACTBOOK Country Profile

16 rows · 16 table(s) · 2024 OpenFactBook 0 1 2 3 99 SEL 3 CCL 646 ext ▶

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0 Admin 0 — 16 table(s)

PHL OpenFactBook - Communications — 1 rows, 21 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	4.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	144.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.ph
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	84.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	7.0
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	4.627 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	4.627
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	4 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	135 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	135.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	144 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	multiple national private TV and radio networks;...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	400.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	84% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	7.51 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	7.51
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	7 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

PHL OpenFactBook - Economy — 1 rows, 153 columns

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Field details — 158 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	10400.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	461.618
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	15.5
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (152) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	growing Southeast Asian economy; commercial rebound led...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$1.202 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	1.202
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$1.137 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	1.137
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$1.078 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	1.078
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	5.7% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	5.7
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	5.5% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	5.5
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	7.6% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	7.6
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$10,400 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$9,900 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	9900.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$9,500 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	9500.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2021 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$461.618 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	3.2% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	3.2
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	6% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	6.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	5.8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	5.8
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	9.1% (2024 est.)
+122 more extension fields — download the CSV/Parquet to see them all.

PHL OpenFactBook - Energy — 1 rows, 55 columns

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Field details — 55 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	94.8
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (51) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	94.8% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	98%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	98.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	91.1%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	91.1
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	29.174 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	29.174
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	100.824 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	100.824
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	10.693 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	10.693
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	77.9% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	77.9
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	1.6% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	1.6
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	0.9% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	0.9
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	9% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	9.0
`electricity_generation_sources_geothermal_text`	electricity_generation_sources_geothermal_text	string	0%	1	9.3% of total installed capacity (2023 est.)
`electricity_generation_sources_geothermal_numeric`	electricity_generation_sources_geothermal_numeric	float	0%	1	9.3
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1.2% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.2
`coal_production_text`	coal_production_text	string	0%	1	14.457 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	14.457
`coal_consumption_text`	coal_consumption_text	string	0%	1	42.859 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	42.859
`coal_exports_text`	coal_exports_text	string	0%	1	8.151 million metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	8.151
`coal_imports_text`	coal_imports_text	string	0%	1	36.542 million metric tons (2023 est.)
+21 more extension fields — download the CSV/Parquet to see them all.

PHL OpenFactBook - Environment — 1 rows, 54 columns

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Field details — 60 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	42.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	24.7
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	48.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.04
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	14.632
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (52) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	deforestation, especially in watershed areas; illegal...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	tropical marine; northeast monsoon (November to April);...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	42.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 18.7% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	18.7
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 18.9% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	18.9
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 5% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	5.0
`land_use_forest_text`	land_use_forest_text	string	0%	1	24.7% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	32.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	32.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	48.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.04% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	156.228 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	156.228
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	88.581 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	88.581
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	61.597 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric	float	0%	1	61.597
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	6.05 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1	6.05
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	25.4 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	25.4
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	230.7 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	230.7
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	1,662.2 kt (2019-2021 est.)
+22 more extension fields — download the CSV/Parquet to see them all.

PHL OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Filipino(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Philippine
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Tagalog 26%, Bisaya/Binisaya 14.3%, Ilocano 8%, Cebuano...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	26.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

PHL OpenFactBook - Geography — 1 rows, 51 columns

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Field details — 55 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	300000.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	298170.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	1830.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	0.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	36289.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2954.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	42.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	24.7
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	16270.0
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (42) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southeastern Asia, archipelago between the Philippine...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	13 00 N, 122 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	13.0
`map_references_text`	map_references_text	string	0%	1	Southeast Asia
`area_total_text`	area_total_text	string	0%	1	300,000 sq km
`area_land_text`	area_land_text	string	0%	1	298,170 sq km
`area_water_text`	area_water_text	string	0%	1	1,830 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly less than twice the size of Georgia; slightly...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	0 km
`coastline_text`	coastline_text	string	0%	1	36,289 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	irregular polygon extending up to 100 nm from coastline...
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	100.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	to the depth of exploitation
`climate_text`	climate_text	string	0%	1	tropical marine; northeast monsoon (November to April);...
`terrain_text`	terrain_text	string	0%	1	mostly mountains with narrow to extensive coastal lowlands
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Mount Apo 2,954 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Philippine Sea 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	442 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	442.0
`natural_resources_text`	natural_resources_text	string	0%	1	timber, petroleum, nickel, cobalt, silver, gold, salt, copper
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	42.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 18.7% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	18.7
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 18.9% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	18.9
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 5% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	5.0
`land_use_forest_text`	land_use_forest_text	string	0%	1	24.7% (2023 est.)
+12 more extension fields — download the CSV/Parquet to see them all.

PHL OpenFactBook - Government — 1 rows, 91 columns

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Field details — 126 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (124) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Republic of the Philippines
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Philippines
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republika ng Pilipinas
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Pilipinas
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	named in honor of King PHILLIP II of Spain by Spanish...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1543.0
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Manila
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	14 36 N, 120 58 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	14.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+8 (13 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	8.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	derives from the Tagalog word may, meaning "there is,"...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	81 provinces and 38 chartered cities provinces: Abra,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	81.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of civil, common, Islamic (sharia), and...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest ratified 2 February 1987,...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	2.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by Congress if supported by three fourths of...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`international_law_organization_participation_numeric`	international_law_organization_participation_numeric	float	0%	1	2019.0
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of the Philippines
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	10 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	10.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	President Ferdinand "BongBong" MARCOS, Jr. (since 30 June 2022)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	30.0
+94 more extension fields — download the CSV/Parquet to see them all.

PHL OpenFactBook - Introduction — 1 rows, 6 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	The Philippine Islands became a Spanish colony during...
`background_numeric`	background_numeric	float	0%	1	16.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

PHL OpenFactBook - Languages — 1 rows, 8 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Tagalog 39.9%, Bisaya/Binisaya 16%, Hiligaynon/Ilonggo...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	39.9
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	Ang World Factbook, ang mapagkukunan ng kailangang...
`languages_note`	languages_note	string	0%	1	note: data represent percentage of households;...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

PHL OpenFactBook - Migration — 1 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	2,342 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	2342.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	1,158,643 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	1158643.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	30 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	30.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

PHL OpenFactBook - Military And Security — 1 rows, 20 columns

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Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	Armed Forces of the Philippines (AFP): Army, Navy...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	1.7% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.7
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.5% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.5
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.4
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.2% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.2
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.1% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.1
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 145,000 active Armed Forces (105,000 Army;...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	145000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the AFP is equipped with a mix of imported weapons...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	some variations in age based on the branch of service,...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the Armed Forces of the Philippines (AFP) are...
`military_note_numeric`	military_note_numeric	float	0%	1	2014.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

PHL OpenFactBook - People And Society — 1 rows, 138 columns

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Field details — 151 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	118277063.0
`population_male_numeric`	Population male	float	SEL	0%	1	59227092.0
`population_female_numeric`	Population female	float	SEL	0%	1	59049971.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	30.2
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	64.3
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	5.6
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	55.6
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	47.0
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	8.7
`median_age_total_numeric`	Median age	float	SEL	0%	1	27.1
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.74
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	16.02
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	5.8
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-2.82
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	48.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.04
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.0
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	84.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	18.5
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	70.8
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.94
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.94
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.79
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.0
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	98.5
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (122) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	118,277,063 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	59,227,092
`population_female_text`	population_female_text	string	0%	1	59,049,971
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	30.2% (male 18,234,279/female 17,462,803)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	64.3% (male 38,381,583/female 37,613,294)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	5.6% (2024 est.) (male 2,611,230/female 3,973,874)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	55.6 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	47 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	8.7 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	11.5 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	11.5
`median_age_total_text`	median_age_total_text	string	0%	1	27.1 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	25.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	25.1
`median_age_female_text`	median_age_female_text	string	0%	1	26.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	26.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.74% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	16.02 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	5.8 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-2.82 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	population concentrated in areas with good farmland;...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	48.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.04% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	14.667 million MANILA (capital), 1.949 million Davao,...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	14.667
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.02 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.02
+92 more extension fields — download the CSV/Parquet to see them all.

PHL OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	6.4
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	8.2
`composition_ethnicity_primary_label_synth`	Tagalog	string	CCL	0%	-	Tagalog

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Roman Catholic 78.8%, Muslim 6.4%, Iglesia ni Cristo...
`religions_numeric`	religions_numeric	float	0%	1	78.8
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

Pending (17) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	78.8
`composition_religion_iglesia_ni_cristo_pct_synth`	Iglesia ni Cristo	numeric	0%	-	2.6
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	3.9
`composition_religion_none_unspecified_0_1_pct_synth`	none/unspecified <0.1	numeric	0%	-	-
`composition_ethnicity_tagalog_pct_synth`	Tagalog	numeric	0%	-	26.0
`composition_ethnicity_bisaya_binisaya_pct_synth`	Bisaya/Binisaya	numeric	0%	-	14.3
`composition_ethnicity_ilocano_pct_synth`	Ilocano	numeric	0%	-	8.0
`composition_ethnicity_cebuano_pct_synth`	Cebuano	numeric	0%	-	8.0
`composition_ethnicity_illonggo_pct_synth`	Illonggo	numeric	0%	-	7.9
`composition_ethnicity_bikol_bicol_pct_synth`	Bikol/Bicol	numeric	0%	-	6.5
`composition_ethnicity_waray_pct_synth`	Waray	numeric	0%	-	3.8
`composition_ethnicity_kapampangan_pct_synth`	Kapampangan	numeric	0%	-	3.0
`composition_ethnicity_maguindanao_pct_synth`	Maguindanao	numeric	0%	-	1.9
`composition_ethnicity_pangasinan_pct_synth`	Pangasinan	numeric	0%	-	1.9
`composition_ethnicity_other_local_ethnicities_pct_synth`	other local ethnicities	numeric	0%	-	18.5
`composition_ethnicity_foreign_ethnicities_pct_synth`	foreign ethnicities	numeric	0%	-	0.2
`composition_ethnicity_primary_share_pct_synth`	Tagalog	numeric	0%	-	26.0

PHL OpenFactBook - Space — 1 rows, 8 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	Philippine Space Agency (PhilSA; established 2019) (2025)
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2019.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a small space program focused on acquiring...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2025.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1994 - formed a consortium of companies to acquire and...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1994.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

PHL OpenFactBook - Terrorism — 1 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	Abu Sayyaf Group; Communist Party of the Philippines/New...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

PHL OpenFactBook - Transportation — 1 rows, 30 columns

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Field details — 33 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	RP
`airports_numeric`	Airports count	float	SEL	0%	1	256.0
`country_code`	Country code	string	SEL	0%	1	PHL
`country_name`	Country name	string	SEL	0%	1	Philippines
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (28) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	256 (2025)
`heliports_text`	heliports_text	string	0%	1	416 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	416.0
`railways_total_text`	railways_total_text	string	0%	1	77 km (2017)
`railways_total_numeric`	railways_total_numeric	float	0%	1	77.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	49 km (2017) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	49.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	28 km (2017) 1.067-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	28.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	2,203 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	2203.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 52, container ship 43, general cargo 955,...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	52.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	70 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	70.0
`ports_large_text`	ports_large_text	float	0%	1	2
`ports_large_numeric`	ports_large_numeric	float	0%	1	2.0
`ports_medium_text`	ports_medium_text	float	0%	1	4
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	4.0
`ports_small_text`	ports_small_text	float	0%	1	8
`ports_small_numeric`	ports_small_numeric	float	0%	1	8.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	56
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	56.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	22
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	22.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Batangas City, Cagayan de Oro, Cebu, Manila, San...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/rp.json

PHL NGA GEOnet Names Server (GNS) PHL-NGA_GNS Language

13 rows · 2 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 24 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

PHL Nga Gns - Language — 12 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	PHL, PHL, PHL, PHL, PHL
`gns_language_code`	gns_language_code	string	CCL	0%	12	fil, eng, spa, tgl, ceb
`gns_language_name`	gns_language_name	string	CCL	0%	12	Filipino; Pilipino, English, Spanish, Tagalog, Cebuano
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	8	112361, 664, 19, 16, 7
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	8	99.3642, 0.5872, 0.0168, 0.0141, 0.0062
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, , , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, , , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0, 0, 0

PHL Nga Gns - Summary — 1 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	PHL
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Philippines
`gns_language_count`	gns_language_count	integer	CCL	0%	1	12
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	100.0
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	137104
`gns_feature_count`	gns_feature_count	integer	0%	1	107211
`gns_endonym_count`	gns_endonym_count	integer	0%	1	137104
`gns_exonym_count`	gns_exonym_count	integer	0%	1	0
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	23875
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	13565
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	14058
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	10794
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	58635
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	45231
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	11206
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	11142
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	4641
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	4503
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	24176
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	21518
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	473
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	424
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	25
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	24
`gns_name_count_undersea`	gns_name_count_undersea	integer	0%	1	15
`gns_feature_count_undersea`	gns_feature_count_undersea	integer	0%	1	10

PHL D-PLACE PHL-DPLACE Ethnographic Societies

12 rows · 1 table(s) · 2024 D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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0 Admin 0 — 1 table(s)

PHL D-PLACE - Dplace Ea Societies — 12 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL, PHL, PHL, PHL, PHL
`society_id`	Society id	string	CCL	0%	12	Ia12, Ia13, Ia15, Ia16, Ia17
`society_name`	Society name	string	CCL	0%	12	Sugbuanon, Badjau Tawi-Tawi, Manobo, Kalinga, Bilaan
`language_glottocode`	Language glottocode	string	CCL	0%	12	cebu1242, sout2918, agus1235, lubu1243, koro1310
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	10	EA001:0; EA002:0; EA003:2; EA004:1; EA005:7, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	10	EA006:1; EA007:8; EA008:1; EA009:1; EA010:6, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	11	EA028:6; EA029:6; EA030:7; EA031:8; EA032:2, EA028:4;...
`political_complexity`	Political complexity	string	CCL	0%	6	EA033:5; EA034:4; EA035:NA, EA033:1; EA034:NA; EA035:NA,...
`religion_importance`	Religion importance	string	CCL	0%	8	EA034:4; EA112:5, EA034:NA; EA112:NA, EA034:NA; EA112:3,...
`residence_pattern`	Residence pattern	string	CCL	0%	6	EA011:2; EA012:6; EA013:9, EA011:2; EA012:2; EA013:9,...

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Philippines, Philippines, Philippines, Philippines, Philippines
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	8	10.2, 5.09, 8.0, 18.0, 6.0
`longitude`	longitude	float	0%	7	123.65, 119.97, 126.0, 121.0, 125.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate

PHL Ethnic Power Relations Dataset PHL-EPR Political Ethnicity

4 rows · 1 table(s) · 2021 Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

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0 Admin 0 — 1 table(s)

PHL EPR - Groups — 4 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL, PHL, PHL, PHL
`ethnic_group_name`	Ethnic group name	string	CCL	0%	4	Christian lowlanders, Indigenous, Moro, Fil-Chinese
`ethnic_power_status`	Ethnic power status	string	CCL	0%	3	DOMINANT, POWERLESS, POWERLESS, IRRELEVANT
`ethnic_population_share`	Ethnic population share	float	CCL	0%	4	0.859, 0.075, 0.051, 0.015
`ethnic_group_id`	Ethnic group id	float	CCL	0%	4	84001000, 84002000, 84003000, 84004000
`regional_autonomy`	Regional autonomy	string	CCL	0%	3	, false, true,

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , ,

PHL PSA Maternal Mortality PHL-PSA-MATERNAL_MORTALITY Health

2 rows · 1 table(s) · 2024 Philippine Statistics Authority 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL PSA maternal_mortality — 2 rows, 3 columns

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Field details — 3 fields (type, nulls, unique, samples)

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Geolocation`	Geolocation	text	0%	-	-
`Year`	Year	text	0%	-	-
`Maternal mortality ratio (per 100,000 live births)`	Maternal mortality ratio (per 100,000 live births)	text	0%	-	-

PHL Philippines Education (pivoted) PHL-HDX-Philippines___Education_wide Indicators Wide

1 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

PHL Philippines Education (wide) — 1 rows, 874 columns

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Field details — 874 fields (type, nulls, unique, samples)

Extension Fields (874) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_15-19_with_no_education`	Barro-Lee:_Percentage_of_population_age_15-19_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_15+_with_no_education`	Barro-Lee:_Percentage_of_population_age_15+_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_20-24_with_no_education`	Barro-Lee:_Percentage_of_population_age_20-24_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_25-29_with_no_education`	Barro-Lee:_Percentage_of_population_age_25-29_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_25+_with_no_education`	Barro-Lee:_Percentage_of_population_age_25+_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_30-34_with_no_education`	Barro-Lee:_Percentage_of_population_age_30-34_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_35-39_with_no_education`	Barro-Lee:_Percentage_of_population_age_35-39_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_40-44_with_no_education`	Barro-Lee:_Percentage_of_population_age_40-44_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_45-49_with_no_education`	Barro-Lee:_Percentage_of_population_age_45-49_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_50-54_with_no_education`	Barro-Lee:_Percentage_of_population_age_50-54_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_55-59_with_no_education`	Barro-Lee:_Percentage_of_population_age_55-59_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education	numeric	0%	1	-
`Barro-Lee:_Percentage_of_population_age_60-64_with_no_education`	Barro-Lee:_Percentage_of_population_age_60-64_with_no_education	numeric	0%	1	-
`Barro-Lee:_Population_in_thousands_age_15-19_total`	Barro-Lee:_Population_in_thousands_age_15-19_total	numeric	0%	1	-
`Barro-Lee:_Population_in_thousands_age_15-19_female`	Barro-Lee:_Population_in_thousands_age_15-19_female	numeric	0%	1	-
`Barro-Lee:_Population_in_thousands_age_15+_total`	Barro-Lee:_Population_in_thousands_age_15+_total	numeric	0%	1	-
`Barro-Lee:_Population_in_thousands_age_15+_female`	Barro-Lee:_Population_in_thousands_age_15+_female	numeric	0%	1	-
`Barro-Lee:_Population_in_thousands_age_20-24_total`	Barro-Lee:_Population_in_thousands_age_20-24_total	numeric	0%	1	-
`Barro-Lee:_Population_in_thousands_age_20-24_female`	Barro-Lee:_Population_in_thousands_age_20-24_female	numeric	0%	1	-
+844 more extension fields — download the CSV/Parquet to see them all.

PHL Philippines Health (pivoted) PHL-HDX-Philippines___Health_wide Indicators Wide

1 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL Philippines Health (wide) — 1 rows, 511 columns

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Field details — 511 fields (type, nulls, unique, samples)

Extension Fields (511) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`Proportion_of_women_subjected_to_physical_and_or_sexual_violence_in_the_last_12_`	Proportion_of_women_subjected_to_physical_and_or_sexual_violence_in_the_last_12_	numeric	0%	1	-
`Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_argues_wit`	Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_argues_wit	numeric	0%	1	-
`Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_burns_the_`	Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_burns_the_	numeric	0%	1	-
`Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_goes_out_w`	Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_goes_out_w	numeric	0%	1	-
`Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_neglects_t`	Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_neglects_t	numeric	0%	1	-
`Women_who_believe_a_husband_is_justified_in_beating_his_wife_any_of_five_reasons`	Women_who_believe_a_husband_is_justified_in_beating_his_wife_any_of_five_reasons	numeric	0%	1	-
`Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_refuses_se`	Women_who_believe_a_husband_is_justified_in_beating_his_wife_when_she_refuses_se	numeric	0%	1	-
`Total_alcohol_consumption_per_capita_female_liters_of_pure_alcohol_projected_est`	Total_alcohol_consumption_per_capita_female_liters_of_pure_alcohol_projected_est	numeric	0%	1	-
`Total_alcohol_consumption_per_capita_liters_of_pure_alcohol_projected_estimates_`	Total_alcohol_consumption_per_capita_liters_of_pure_alcohol_projected_estimates_	numeric	0%	1	-
`Total_alcohol_consumption_per_capita_male_liters_of_pure_alcohol_projected_estim`	Total_alcohol_consumption_per_capita_male_liters_of_pure_alcohol_projected_estim	numeric	0%	1	-
`Prevalence_of_anemia_among_women_of_reproductive_age_pct_of_women_ages_15-49`	Prevalence_of_anemia_among_women_of_reproductive_age_pct_of_women_ages_15-49	numeric	0%	1	-
`Prevalence_of_anemia_among_children_pct_of_children_ages_6-59_months`	Prevalence_of_anemia_among_children_pct_of_children_ages_6-59_months	numeric	0%	1	-
`Prevalence_of_anemia_among_non-pregnant_women_pct_of_women_ages_15-49`	Prevalence_of_anemia_among_non-pregnant_women_pct_of_women_ages_15-49	numeric	0%	1	-
`Condom_use_population_ages_15-24_female_pct_of_females_ages_15-24`	Condom_use_population_ages_15-24_female_pct_of_females_ages_15-24	numeric	0%	1	-
`Condom_use_population_ages_15-24_male_pct_of_males_ages_15-24`	Condom_use_population_ages_15-24_male_pct_of_males_ages_15-24	numeric	0%	1	-
`Cause_of_death_by_communicable_diseases_and_maternal_prenatal_and_nutrition_cond`	Cause_of_death_by_communicable_diseases_and_maternal_prenatal_and_nutrition_cond	numeric	0%	1	-
`Number_of_infant_deaths`	Number_of_infant_deaths	numeric	0%	1	-
`Cause_of_death_by_injury_pct_of_total`	Cause_of_death_by_injury_pct_of_total	numeric	0%	1	-
`Number_of_under-five_deaths`	Number_of_under-five_deaths	numeric	0%	1	-
`Cause_of_death_by_non-communicable_diseases_pct_of_total`	Cause_of_death_by_non-communicable_diseases_pct_of_total	numeric	0%	1	-
`Number_of_neonatal_deaths`	Number_of_neonatal_deaths	numeric	0%	1	-
`Women's_share_of_population_ages_15+_living_with_HIV_pct`	Women's_share_of_population_ages_15+_living_with_HIV_pct	numeric	0%	1	-
`Prevalence_of_HIV_total_pct_of_population_ages_15-49`	Prevalence_of_HIV_total_pct_of_population_ages_15-49	numeric	0%	1	-
`Mortality_rate_under-5_per_1000_live_births`	Mortality_rate_under-5_per_1000_live_births	numeric	0%	1	-
`Mortality_rate_under-5_female_per_1000_live_births`	Mortality_rate_under-5_female_per_1000_live_births	numeric	0%	1	-
`Mortality_rate_under-5_male_per_1000_live_births`	Mortality_rate_under-5_male_per_1000_live_births	numeric	0%	1	-
`Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_female_pc`	Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_female_pc	numeric	0%	1	-
`Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_male_pct`	Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_male_pct	numeric	0%	1	-
`Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_pct`	Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_pct	numeric	0%	1	-
`Mortality_rate_neonatal_per_1000_live_births`	Mortality_rate_neonatal_per_1000_live_births	numeric	0%	1	-
+481 more extension fields — download the CSV/Parquet to see them all.

PHL Global Organized Crime Index PHL-OCINDEX Crime Index

1 rows · 1 table(s) · 2025 GI-TOC / ENACT 0 1 2 3 13 CCL 22 ext ▶

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0 Admin 0 — 1 table(s)

PHL Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 139 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	CCL	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	CCL	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	CCL	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	CCL	0%	1	-
`oc_criminality`	oc_criminality	numeric	CCL	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	CCL	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	CCL	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	CCL	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	CCL	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	CCL	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	CCL	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	CCL	0%	1	-
`oc_resilience`	oc_resilience	numeric	CCL	0%	1	-

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
`oc_state_embedded_actors`	oc_state_embedded_actors	numeric	0%	1	-
`oc_synthetic_drug_trade`	oc_synthetic_drug_trade	numeric	0%	1	-
`oc_territorial_integrity`	oc_territorial_integrity	numeric	0%	1	-
`oc_trade_in_counterfeit_goods`	oc_trade_in_counterfeit_goods	numeric	0%	1	-

Pending (104) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	PHL
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	47
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	integer	0%	1	5
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	integer	0%	1	5
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	42
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	float	0%	1	7.5
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	float	0%	1	7.5
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	114
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	float	0%	1	4.5
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	float	0%	1	4.5
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	111
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	integer	0%	1	4
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	float	0%	1	3.5
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	36
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	6.7
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	7.38
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	28
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	6.57
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	6.3
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	57
`oc_criminal_networks_2023`	oc_criminal_networks_2023	float	0%	1	6.5
`oc_criminal_networks_2021`	oc_criminal_networks_2021	integer	0%	1	6
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	33
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	6.63
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	6.84
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	15
+74 more pending fields — download the CSV/Parquet to see them all.

PHL World Values Survey PHL-WVS Attitudes Values

1 rows · 1 table(s) · 2022 World Values Survey 0 1 2 3 1 SEL 25 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

PHL WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PHL

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

Philippines

Build a download

Language	Place names	Share	Script
Filipino; Pilipino (fil)	112,361	99.4%	—
English (eng)	664	0.6%	—

Source	Type	Access
Philippine Statistics Authority	official_nso	bulk_download
Philippine Statistics Authority	official_nso	bulk_download
OCHA HDX Humanitarian Data Exchange (UN Office for the Coordination of Humanitarian Affairs)	international_organization	bulk_download
HDX (Humanitarian Data Exchange)	international_organization	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
Google	commercial	bulk_download
Global Data Lab	academic	api
World Values Survey	academic	metadata_catalog
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
World Bank Open Data	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download