Peru

PER USAID DHS Program PER-DHS Health Surveys

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

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1 Admin 1 — 2 table(s)

PER DHS - Ethnicity Indicators — 196 rows, 7 columns

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

Standards-Aligned Fields (2)

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%	77	86.3, 89.4, 91.2, 90.7, 93.8

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	Peru, Peru, Peru, Peru, Peru
`survey_year`	survey_year	integer	0%	7	2000, 2004, 2007, 2009, 2010
`region`	region	string	0%	15	Amazonas, Amazonas, Amazonas, Amazonas, Amazonas
`survey_id`	survey_id	string	0%	7	PE2000DHS, PE2004DHS, PE2007DHS, PE2009DHS, PE2010DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

PER DHS - Health Indicators — 245 rows, 11 columns

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

Standards-Aligned Fields (6)

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	13.8, 25.1, 32.9, 30.0, 33.8
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	48	63.0, 51.0, 47.0, 25.0, 28.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	59	100.0, 79.0, 68.0, 36.0, 39.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	89	31.0, 53.7, 47.4, 56.2, 43.6
`children_underweight`	Children underweight	float	CCL	12%	67	9.2, 11.8, 6.2, 5.9, 7.1

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	Peru, Peru, Peru, Peru, Peru
`survey_year`	survey_year	integer	0%	9	1992, 1996, 2000, 2004, 2007
`region`	region	string	0%	15	A.A. Cáceres, Amazonas, Amazonas, Amazonas, Amazonas
`survey_id`	survey_id	string	0%	9	PE1992DHS, PE1996DHS, PE2000DHS, PE2004DHS, PE2007DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

PER Global Data Lab PER-GDL Development Indices

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

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1 Admin 1 — 1 table(s)

PER GDL - Subnational Indices — 238 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	PER, PER, PER, PER, PER
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	7	Total, Central (Huancavelica, Huanuco, Junin, Pasco),...
`human_development_index`	Human development index	float	SEL	0%	78	0.647, 0.591, 0.573, 0.599, 0.603
`health_index`	Health index	float	SEL	0%	85	0.677, 0.616, 0.608, 0.673, 0.655
`education_index`	Education index	float	SEL	0%	81	0.649, 0.602, 0.579, 0.552, 0.601
`income_index`	Income index	float	SEL	0%	75	0.617, 0.556, 0.536, 0.579, 0.558
`life_expectancy`	Life expectancy	float	SEL	0%	97	63.98, 60.03, 59.55, 63.74, 62.61
`mean_years_schooling`	Mean years schooling	float	SEL	0%	97	9.739, 8.076, 7.287, 8.02, 8.626

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	15	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

PER UNHCR Refugee Data Finder PER-UNHCR Migration

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

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0 Admin 0 — 2 table(s)

PER UNHCR - Hosted Populations — 75 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%	-	-

PER UNHCR - Origin Populations — 75 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%	-	-

PER World Bank Open Data PER-WORLD_BANK Development Indicators

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

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0 Admin 0 — 2 table(s)

PER 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	PE, PE, PE, PE, PE
`population_count`	Population count	float	SEL	2%	65	10174127.0, 10475123.0, 10784612.0, 11102099.0, 11427978.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	50.597, 51.192, 51.532, 52.597, 53.302
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	252.796782675034, 276.641400132003, 304.537817519843,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	79%	14	81.9199981689453, 87.1500015258789, 87.6699981689453,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	228.5, 222.4, 215.9, 209.0, 201.6
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	58%	27	42.7, 42.4, 47.5, 48.4, 54.8

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	Peru, Peru, Peru, Peru, Peru
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

PER 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	PE, PE, PE, PE, PE
`life_expectancy`	Life expectancy	float	SEL	3%	64	50.597, 51.192, 51.532, 52.597, 53.302
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	61	56.3, 55.3, 54.2, 53.1, 52.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	228.5, 222.4, 215.9, 209.0, 201.6
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	36	198.0, 193.0, 192.0, 190.0, 190.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.941, 6.923, 6.895, 6.858, 6.81
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	46.913, 46.607, 46.217, 45.766, 45.362
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	17.139, 16.69, 16.386, 15.83, 15.473
`physicians_per_1000`	Physicians per 1000	float	SEL	55%	30	0.51, 0.605, 0.521, 0.526, 0.692
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	67%	17	2.41143894195557, 2.17280006408691, 2.5,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	27	16.0, 20.0, 23.0, 23.0, 28.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.41482639, 4.72161007, 4.93902588, 4.58703804, 4.42972279

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	Peru, Peru, Peru, Peru, Peru
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

PER Glottolog Language Catalog PER-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

PER Glottolog - Languages — 131 rows, 16 columns

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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	abis1238, achu1248, agua1251, agua1253, ajyi1238
`name`	Name	string	CCL	0%	100	Aewa, Achuar-Shiwiar, Aguano, Aguaruna, Ajyíninka Apurucayali
`iso639_3`	Iso639 3	string	CCL	13%	87	ash, acu, aga, agr, cpc
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	6%	20	jiva1245, unat1236, jiva1245, araw1281, pano1259
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	6%	64	shua1256, araw1288, jiva1245, ashe1271, head1239
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	9	['PE'], ['EC', 'PE'], ['PE'], ['PE'], ['PE']
`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%	7	0, 2, 0, 0, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	3%	97	-1.284096, -2.82646, -5.25, -5.30044, -9.82364
`longitude`	longitude	float	3%	97	-75.084405, -77.2641, -75.8333, -77.9218, -74.61947
`classification`	classification	string	0%	1	[], [], [], [], []

PER LandScan Global (ORNL) PER-LANDSCAN Modeled Population

70 rows · 3 table(s) 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)

PER LandScan - Population Admin0 (admin_0) — 1 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	PER
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Peru
`admin_code`	Admin code	string	SEL	0%	1	96739428B52844935550803
`area_sqkm`	Area sqkm	float	SEL	0%	1	1291662.886
`pop_2024`	Population count	integer	SEL	0%	1	32482326
`pop_density_2024`	Population density	float	SEL	0%	1	25.15

1 Admin 1 — 1 table(s)

PER LandScan - Population Admin1 (admin_1) — 26 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	PER, PER, PER, PER, PER
`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%	26	Municipalidad Metropolitana de Lima, Piura, La Libertad,...
`admin_code`	Admin code	string	SEL	0%	26	1875124B43998217738279, 1875124B64829338827261,...
`area_sqkm`	Area sqkm	float	SEL	0%	26	2726.7875, 35916.144, 25377.7183, 63440.5892, 33038.5629
`pop_2024`	Population count	integer	SEL	0%	26	9549740, 2055521, 1974183, 1530901, 1492077
`pop_density_2024`	Population density	float	SEL	0%	26	3502.19, 57.23, 77.79, 24.13, 45.16

Locality Locality — 1 table(s)

PER LandScan - Cities (locality) — 43 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	PER, PER, PER, PER, PER
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	43	Lima, Trujillo, Arequipa, Chiclayo, Piura
`admin_code`	Admin code	integer	SEL	0%	43	2171, 1156, 3440, 1040, 514
`area_sqkm`	Area sqkm	float	SEL	0%	43	977.9801, 93.3967, 165.0659, 49.6745, 72.5193
`pop_2024`	Population count	integer	SEL	0%	43	10061040, 942618, 842452, 599566, 480655
`pop_density_2024`	Population density	float	SEL	0%	43	10287.57, 10092.63, 5103.73, 12069.9, 6627.96

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%	43	10828104, 991427, 1004835, 642225, 491829
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	42	0.929, 0.951, 0.838, 0.934, 0.977

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

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

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Locality Locality — 1 table(s)

PER GHS-UCDB - Cities (locality) — 43 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%	43	Lima, Arequipa, Trujillo, Chiclayo, Cusco
`country_code`	Country code	string	SEL	0%	1	PER, PER, PER, PER, PER
`population`	Population count	integer	SEL	0%	43	10828104, 1004835, 991427, 642225, 517707

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	43	2171, 3440, 1156, 1040, 3386
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Peru, Peru, Peru, Peru, Peru
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

PER HDX COD — Population Statistics (OCHA/UNFPA) PER-COD_PS Census Derived Population

26 rows · 2 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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0 Admin 0 — 1 table(s)

PER Cod Ps - Per Codps (admin_0) — 1 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	PE
`region_name`	Region name	string	SEL	0%	1	Peru
`F_TL`	Female population	integer	SEL	0%	1	17162819
`M_TL`	Male population	integer	SEL	0%	1	16875638
`T_TL`	Total population	integer	SEL	0%	1	34038457

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2024
`year`	year	integer	0%	1	2024
`F_00_04`	Female population age 0-4	integer	0%	1	1365462
`F_05_09`	Female population age 5-9	integer	0%	1	1343794
`F_10_14`	Female population age 10-14	integer	0%	1	1291114
`F_15_19`	Female population age 15-19	integer	0%	1	1344536
`F_20_24`	Female population age 20-24	integer	0%	1	1268008
`F_25_29`	Female population age 25-29	integer	0%	1	1422106
`F_30_34`	Female population age 30-34	integer	0%	1	1352331
`F_35_39`	Female population age 35-39	integer	0%	1	1244842
`F_40_44`	Female population age 40-44	integer	0%	1	1181718
`F_45_49`	Female population age 45-49	integer	0%	1	1064383
`F_50_54`	Female population age 50-54	integer	0%	1	945890
`F_55_59`	Female population age 55-59	integer	0%	1	845103
`F_60_64`	Female population age 60-64	integer	0%	1	712255
`F_65_69`	Female population age 65-69	integer	0%	1	579066
`F_70_74`	Female population age 70-74	integer	0%	1	463735
`F_75_79`	Female population age 75-79	integer	0%	1	316274
`F_80Plus`	F_80Plus	integer	0%	1	422202
`M_00_04`	Male population age 0-4	integer	0%	1	1430350
`M_05_09`	Male population age 5-9	integer	0%	1	1400435
`M_10_14`	Male population age 10-14	integer	0%	1	1306942
`M_15_19`	Male population age 15-19	integer	0%	1	1349626
`M_20_24`	Male population age 20-24	integer	0%	1	1199523
`M_25_29`	Male population age 25-29	integer	0%	1	1271113
`M_30_34`	Male population age 30-34	integer	0%	1	1323820
`M_35_39`	Male population age 35-39	integer	0%	1	1290278
`M_40_44`	Male population age 40-44	integer	0%	1	1206929
`M_45_49`	Male population age 45-49	integer	0%	1	1094906
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

PER Cod Ps - Per Codps (admin_1) — 25 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	25	PE01, PE02, PE03, PE04, PE05
`region_name`	Region name	string	SEL	0%	25	Amazonas, Ancash, Apurimac, Arequipa, Ayacucho
`F_TL`	Female population	integer	SEL	0%	25	208729, 595350, 207951, 815464, 325400
`M_TL`	Male population	integer	SEL	0%	25	221394, 606821, 218675, 790105, 344337
`T_TL`	Total population	integer	SEL	0%	25	430123, 1202171, 426626, 1605569, 669737

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`year`	year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	25	21583, 50567, 19544, 59628, 31516
`F_05_09`	Female population age 5-9	integer	0%	25	21438, 50961, 19992, 58787, 31739
`F_10_14`	Female population age 10-14	integer	0%	25	21209, 48759, 20132, 55692, 31322
`F_15_19`	Female population age 15-19	integer	0%	25	20567, 47791, 19135, 59500, 30234
`F_20_24`	Female population age 20-24	integer	0%	25	16355, 41206, 15192, 60666, 25246
`F_25_29`	Female population age 25-29	integer	0%	25	15961, 47977, 15331, 68702, 26439
`F_30_34`	Female population age 30-34	integer	0%	25	15309, 47511, 16921, 64173, 27172
`F_35_39`	Female population age 35-39	integer	0%	25	16254, 45423, 18665, 56858, 24120
`F_40_44`	Female population age 40-44	integer	0%	25	13404, 39098, 13316, 57028, 19081
`F_45_49`	Female population age 45-49	integer	0%	25	11114, 33392, 10035, 53092, 15478
`F_50_54`	Female population age 50-54	integer	0%	25	8493, 28800, 8085, 48419, 13240
`F_55_59`	Female population age 55-59	integer	0%	25	7603, 27762, 7982, 43241, 12335
`F_60_64`	Female population age 60-64	integer	0%	25	6170, 23677, 6948, 36059, 11129
`F_65_69`	Female population age 65-69	integer	0%	25	4666, 19329, 5272, 29682, 8523
`F_70_74`	Female population age 70-74	integer	0%	25	3567, 15635, 4295, 23849, 6855
`F_75_79`	Female population age 75-79	integer	0%	25	2295, 10978, 3063, 16748, 4758
`F_80Plus`	F_80Plus	integer	0%	25	2741, 16484, 4043, 23340, 6213
`M_00_04`	Male population age 0-4	integer	0%	25	22772, 53707, 20588, 62282, 33628
`M_05_09`	Male population age 5-9	integer	0%	25	22676, 53824, 20995, 60884, 33976
`M_10_14`	Male population age 10-14	integer	0%	25	22483, 49602, 21019, 55302, 33606
`M_15_19`	Male population age 15-19	integer	0%	25	21578, 48782, 19868, 58887, 32765
`M_20_24`	Male population age 20-24	integer	0%	25	17012, 38682, 15221, 55753, 27130
`M_25_29`	Male population age 25-29	integer	0%	25	16081, 45094, 15556, 60949, 27912
`M_30_34`	Male population age 30-34	integer	0%	25	16169, 48474, 17923, 62880, 30280
`M_35_39`	Male population age 35-39	integer	0%	25	16913, 47921, 20222, 58944, 28133
`M_40_44`	Male population age 40-44	integer	0%	25	14716, 42359, 16690, 57188, 22445
`M_45_49`	Male population age 45-49	integer	0%	25	12841, 37393, 13099, 52523, 18056
+24 more pending fields — download the CSV/Parquet to see them all.

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

26 rows · 1 table(s) Google 0 1 2 3 3 SEL 8 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)

PER Mobility by Region — 26 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	PE, PE, PE, PE, PE
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	PER, PER, PER, PER, PER

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	26	-1.08, -7.01, 3.64, -13.64, 1.89
`grocery`	grocery	float	0%	26	-0.22, -1.43, -9.68, -1.07, 9.05
`parks`	parks	float	0%	25	-2.15, -5.46, -4.7, -19.7, -0.93
`transit`	transit	float	0%	26	-17.22, -17.32, -16.72, -26.01, -18.73
`workplaces`	workplaces	float	0%	26	9.04, -3.12, 3.66, 0.13, 1.24
`residential`	residential	float	0%	26	1.97, 4.73, 10.55, 6.03, 6.61
`region`	region	string	0%	26	Amazonas, Ancash, Apurimac, Arequipa, Ayacucho
`observation_count`	observation_count	integer	0%	25	4740, 8500, 3819, 6681, 4760

PER OpenFactBook PER-OPENFACTBOOK Country Profile

17 rows · 17 table(s) OpenFactBook 0 1 2 3 102 SEL 1 CCL 640 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 — 17 table(s)

PER OpenFactBook - Communications — 1 rows, 22 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	125.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.pe
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	80.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	10.0
`country_code`	Country code	string	SEL	0%	1	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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	1.504 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	1.504
`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	42.6 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	42.6
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	125 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	10 major TV networks of which only one, Television...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	10.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	80% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	3.53 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	3.53
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	10 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

PER OpenFactBook - Economy — 1 rows, 158 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	15700.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	289.222
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	27.5
`country_code`	Country code	string	SEL	0%	1	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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	upper-middle-income South American economy; strong...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$535.911 billion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	535.911
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$518.771 billion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	518.771
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$520.872 billion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	520.872
`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	3.3% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.3
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	-0.4% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	-0.4
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	2.8% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	2.8
`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	$15,700 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$15,300 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	15300.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$15,600 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	15600.0
`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	$289.222 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	2% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	2.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	6.5% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	6.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	8.3% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	8.3
`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	6.1% (2024 est.)
+122 more extension fields — download the CSV/Parquet to see them all.

PER 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	96.2
`country_code`	Country code	string	SEL	0%	1	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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	96.2% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	99%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	99.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	85.1%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	85.1
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	16.164 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	16.164
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	53.3 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	53.3
`electricity_imports_text`	electricity_imports_text	string	0%	1	47.696 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	47.696
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	6.638 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	6.638
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	44.8% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	44.8
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	1.4% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	1.4
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	3.2% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	3.2
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	49.6% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	49.6
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.0
`coal_production_text`	coal_production_text	string	0%	1	1.382 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	1.382
`coal_consumption_text`	coal_consumption_text	string	0%	1	973,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	973000.0
`coal_exports_text`	coal_exports_text	string	0%	1	1.261 million metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	1.261
`coal_imports_text`	coal_imports_text	string	0%	1	446,000 metric tons (2023 est.)
+21 more extension fields — download the CSV/Parquet to see them all.

PER OpenFactBook - Environment — 1 rows, 60 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	19.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	52.9
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	78.9
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.33
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	8.357
`country_code`	Country code	string	SEL	0%	1	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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 (some the result of illegal logging);...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Environmental Protection, Antarctic-Marine...
`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	varies from tropical in east to dry desert in west;...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	19.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 3.1% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	3.1
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.8% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.8
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 14.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	14.2
`land_use_forest_text`	land_use_forest_text	string	0%	1	52.9% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	28% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	28.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	78.9% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.33% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	58.903 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	58.903
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	2.177 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	2.177
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	34.863 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	34.863
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	21.863 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	21.863
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	31.7 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	31.7
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	233.6 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	233.6
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	623.5 kt (2019-2021 est.)
+22 more extension fields — download the CSV/Parquet to see them all.

PER OpenFactBook - Ethnic Groups — 1 rows, 9 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	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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	Peruvian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Peruvian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Mestizo (mixed Indigenous and White) 60.2%, Indigenous...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	60.2
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

PER OpenFactBook - Geography — 1 rows, 63 columns

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Field details — 63 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	1285216.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	1279996.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	5220.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	7062.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	2414.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	6746.0
`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	19.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	52.9
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	25800.0
`country_code`	Country code	string	SEL	0%	1	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Western South America, bordering the South Pacific...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	10 00 S, 76 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	10.0
`map_references_text`	map_references_text	string	0%	1	South America
`area_total_text`	area_total_text	string	0%	1	1,285,216 sq km
`area_land_text`	area_land_text	string	0%	1	1,279,996 sq km
`area_water_text`	area_water_text	string	0%	1	5,220 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	almost twice the size of Texas; slightly smaller than Alaska
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	7,062 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Bolivia 1,212 km; Brazil 2,659 km; Chile 168 km;...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	1212.0
`coastline_text`	coastline_text	string	0%	1	2,414 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	200 nm; note: the US does not recognize this claim
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	200.0
`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	200 nm
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	varies from tropical in east to dry desert in west;...
`terrain_text`	terrain_text	string	0%	1	western coastal plain (costa), high and rugged Andes in...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Nevado Huascaran 6,746 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Pacific Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	1,555 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	1555.0
`natural_resources_text`	natural_resources_text	string	0%	1	copper, silver, gold, petroleum, timber, fish, iron ore,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	19.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 3.1% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	3.1
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.8% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.8
+20 more extension fields — download the CSV/Parquet to see them all.

PER OpenFactBook - Government — 1 rows, 106 columns

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Field details — 106 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	PER
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (104) — 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 Peru
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Peru
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	República del Perú
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Perú
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name may derive from the Guarani word biru, meaning "river"
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Lima
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	12 03 S, 77 03 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	12.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-5 (same time as Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	-5.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name is an early Spanish mispronunciation of the...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	24 departments (departamentos, singular - departamento),...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	24.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest promulgated 29 December 1993,...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	29.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by Congress, by the president of the republic...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	0.3
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	yes
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	yes
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	2 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	2.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal and compulsory until the age of 70
`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 José Enrique JERÍ Oré (since 10 October 2025)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	10.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	President José Enrique JERÍ Oré (since 10 October 2025)
+74 more extension fields — download the CSV/Parquet to see them all.

PER OpenFactBook - Introduction — 1 rows, 7 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	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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	Ancient Peru was the seat of several prominent Andean...
`background_numeric`	background_numeric	float	0%	1	1533.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

PER OpenFactBook - Languages — 1 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	0%	1	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Spanish (official) 82.9%, Quechua (official) 13.6%,...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	82.9
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	La Libreta Informativa del Mundo, la fuente...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

PER 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	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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	546,699 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	546699.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	83,441 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	83441.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	32 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	32.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

PER OpenFactBook - Military And Security — 1 rows, 27 columns

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Field details — 27 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	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (24) — 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 Peru (Fuerzas Armadas del Perú or FAP):...
`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	0.8% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.1% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.1
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.1% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.1
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.2% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.2
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	information varies; approximately 85,000 active-duty...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	85000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory consists of mostly older or...
`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	18-30 years of age for voluntary military service (12-24...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_deployments_text`	military_deployments_text	string	0%	1	225 Central African Republic (MINUSCA) (2025)
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	225.0
`military_note_text`	military_note_text	string	0%	1	the Peruvian Armed Forces (FAP) are responsible for...
`military_note_numeric`	military_note_numeric	float	0%	1	2023.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

PER OpenFactBook - People And Society — 1 rows, 150 columns

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Field details — 150 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	32768614.0
`population_male_numeric`	Population male	float	SEL	0%	1	16016448.0
`population_female_numeric`	Population female	float	SEL	0%	1	16752166.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	25.8
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	66.2
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	8.0
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	50.4
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	38.4
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	12.0
`median_age_total_numeric`	Median age	float	SEL	0%	1	30.4
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.55
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	16.43
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	9.79
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-1.16
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	78.9
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.33
`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	0.96
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	51.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	10.6
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	68.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.12
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.04
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	1.69
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.6
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	93.7
`country_code`	Country code	string	SEL	0%	1	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (121) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	32,768,614 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	16,016,448
`population_female_text`	population_female_text	string	0%	1	16,752,166
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	25.8% (male 4,293,229/female 4,119,269)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	66.2% (male 10,546,502/female 11,041,106)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	8% (2024 est.) (male 1,112,825/female 1,487,318)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	50.4 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	38.4 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	12 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	8.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	8.3
`median_age_total_text`	median_age_total_text	string	0%	1	30.4 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	29.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	29.1
`median_age_female_text`	median_age_female_text	string	0%	1	31.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	31.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.55% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	16.43 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	9.79 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-1.16 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	approximately one third of the population resides along...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	78.9% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.33% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	11.204 million LIMA (capital), 959,000 Arequipa, 904,000...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	11.204
`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	0.96 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.96
+91 more extension fields — download the CSV/Parquet to see them all.

PER OpenFactBook - Religions — 1 rows, 19 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_ethnicity_primary_label_synth`	Mestizo (mixed Indigenous and White)	string	CCL	0%	-	Mestizo (mixed Indigenous and White)

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	Catholic 76%, Evangelical Christian 15.7%, no religion...
`religions_numeric`	religions_numeric	float	0%	1	76.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_catholic_pct_synth`	Catholic	numeric	0%	-	76.0
`composition_religion_evangelical_christian_pct_synth`	Evangelical Christian	numeric	0%	-	15.7
`composition_religion_no_religion_pct_synth`	no religion	numeric	0%	-	5.1
`composition_religion_other_religions_pct_synth`	other religions	numeric	0%	-	3.2
`composition_ethnicity_mestizo_mixed_indigenous_and_white_pct_synth`	Mestizo (mixed Indigenous and White)	numeric	0%	-	60.2
`composition_ethnicity_indigenous_pct_synth`	Indigenous	numeric	0%	-	25.8
`composition_ethnicity_white_pct_synth`	White	numeric	0%	-	5.9
`composition_ethnicity_african_descent_pct_synth`	African descent	numeric	0%	-	3.6
`composition_ethnicity_other_includes_chinese_and_japanese_descent_pct_synth`	other (includes Chinese and Japanese descent)	numeric	0%	-	1.2
`composition_ethnicity_unspecified_pct_synth`	unspecified	numeric	0%	-	3.3
`composition_ethnicity_primary_share_pct_synth`	Mestizo (mixed Indigenous and White)	numeric	0%	-	60.2

PER OpenFactBook - Space — 1 rows, 13 columns

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Field details — 13 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	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — 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	National Aerospace Research and Development Commission...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	1974.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	in 2024, Peru announced an initiative to develop a...
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1	2024.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	focuses on acquiring satellites, applying space...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2021.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	2006 - launched first sounding rocket/space probe...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	2006.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

PER 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	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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	Shining Path (Sendero Luminoso); Tren de Aragua (TdA)
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

PER OpenFactBook - Transnational Issues — 1 rows, 7 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	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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
`illicit_drugs_usg_identification_text`	illicit_drugs_usg_identification_text	string	0%	1	major illicit drug-producing and/or drug-transit...
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

PER OpenFactBook - Transportation — 1 rows, 33 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	OB
`airports_numeric`	Airports count	float	SEL	0%	1	174.0
`country_code`	Country code	string	SEL	0%	1	PER
`country_name`	Country name	string	SEL	0%	1	Peru
`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	174 (2025)
`heliports_text`	heliports_text	string	0%	1	7 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	7.0
`railways_total_text`	railways_total_text	string	0%	1	1,854.4 km (2017)
`railways_total_numeric`	railways_total_numeric	float	0%	1	1854.4
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	1,730.4 km (2014) 1.435-m gauge (34 km electrified)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	1730.4
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	124 km (2014) 0.914-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	124.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	111 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	111.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 1, oil tanker 9, other 101
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	1.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	20 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	20.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	1
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	1.0
`ports_small_text`	ports_small_text	float	0%	1	3
`ports_small_numeric`	ports_small_numeric	float	0%	1	3.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	16
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	16.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	16
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	16.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Bahia de Matarani, Iquitos, Puerto del Callao, Talara
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-america/pe.json

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

6 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 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)

PER Nga Gns - Language — 5 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	PER, PER, PER, PER, PER
`gns_language_code`	gns_language_code	string	CCL	0%	5	spa, por, que, aym, eng
`gns_language_name`	gns_language_name	string	CCL	0%	5	Spanish, Portuguese, Quechua, Aymara, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	29268, 30, 26, 26, 24
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	99.6391, 0.1021, 0.0885, 0.0885, 0.0817
`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

PER Nga Gns - Summary — 1 rows, 29 columns

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Field details — 29 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	PER
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Peru
`gns_language_count`	gns_language_count	integer	CCL	0%	1	5
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9968
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	126635
`gns_feature_count`	gns_feature_count	integer	0%	1	110139
`gns_endonym_count`	gns_endonym_count	integer	0%	1	126631
`gns_exonym_count`	gns_exonym_count	integer	0%	1	4
`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_populated_places`	gns_name_count_populated_places	integer	0%	1	55280
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	47213
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	4850
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	4633
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	31114
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	28481
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	27684
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	24940
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	3279
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	2741
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	4409
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	2113
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	18
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	17
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	1
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	1

PER D-PLACE PER-DPLACE Ethnographic Societies

5 rows · 1 table(s) D-PLACE 0 1 2 3 1 SEL 10 CCL 7 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)

PER D-PLACE - Dplace Ea Societies — 5 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	PER, PER, PER, PER, PER
`society_id`	Society id	string	CCL	0%	5	Se4, Se9, Sf1, Sf7, Sf8
`society_name`	Society name	string	CCL	0%	5	Yagua, Shipibo-Conibo, Inca, Asháninka, Piro
`language_glottocode`	Language glottocode	string	CCL	0%	5	yagu1244, ship1254, cusc1236, ajyi1238, yine1238
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	5	EA001:0; EA002:5; EA003:1; EA004:0; EA005:4, EA001:1;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	5	EA006:2; EA007:8; EA008:1; EA009:1; EA010:9, EA006:2;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	3	EA028:3; EA029:5; EA030:7; EA031:1; EA032:2, EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	5	EA033:1; EA034:1; EA035:2, EA033:1; EA034:1; EA035:1,...
`religion_importance`	Religion importance	string	CCL	0%	5	EA034:1; EA112:5, EA034:1; EA112:1, EA034:2; EA112:5,...
`residence_pattern`	Residence pattern	string	CCL	0%	4	EA011:1; EA012:8; EA013:9, EA011:3; EA012:9; 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	Peru, Peru, Peru, Peru, Peru
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	5	-3.0, -9.0, -13.0, -8.0, -12.0
`longitude`	longitude	float	0%	4	-72.0, -74.0, -72.0, -75.0, -73.0
`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

PER Ethnic Power Relations Dataset PER-EPR Political Ethnicity

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

PER 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	PER, PER, PER, PER
`ethnic_group_name`	Ethnic group name	string	CCL	0%	4	Whites/mestizos, Indigenous peoples of the Andes,...
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, POWERLESS, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	4	0.661, 0.247, 0.036, 0.008
`ethnic_group_id`	Ethnic group id	float	CCL	0%	4	13502000, 13501000, 13504000, 13505000
`regional_autonomy`	Regional autonomy	string	CCL	0%	3	, true, 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	, , ,

PER Global Organized Crime Index PER-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 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)

PER Organized Crime Scores 2025 — 1 rows, 35 columns

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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
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	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_financial_crimes`	oc_financial_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_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	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_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	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_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

PER World Values Survey PER-WVS Attitudes Values

1 rows · 1 table(s) 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)

PER 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	PER

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

Build a download

Language	Place names	Share	Script
Spanish (spa)	29,268	99.6%	—
Portuguese (por)	30	0.1%	—
Quechua (que)	26	0.1%	—
Aymara (aym)	26	0.1%	—
English (eng)	24	0.1%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Global Data Lab	academic	api
World Values Survey	academic	metadata_catalog
Google	commercial	bulk_download
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
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
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