Peru

PER INEI Peru (Instituto Nacional de Estadistica e Informatica) PER-INEI_CENSO2025 Census

33,640 rows · 12 tables · 2025 INEI Peru (Instituto Nacional de Estadistica e Informatica) 0 1 2 3 104 SEL 40 CCL 992 ext ▶

ⓘ Enumerated population. These are the people the 2025 census actually counted: 32,706,028. INEI's headline figure, 34,157,732, adds an estimated 1,451,704 people the census missed (poblacion omitida), so it is about 4% higher, and its men/women split differs too. HERA carries the enumerated counts because they are what INEI publishes for every departamento, provincia and distrito. INEI's results list 1,893 distritos, one more than Peru's 1,892 legal districts at the end of 2025; the extra one is in INEI's own published list.

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0 Admin 0 — 3 table(s)

PER Inei Censo2025 - PER Censo2025 Ethnicity National — 11 rows, 13 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	string	SEL	100%	-	-
`name`	name	string	SEL	0%	1	Perú, Perú, Perú, Perú, Perú
`admin_level`	admin_level	string	SEL	0%	1	admin_0, admin_0, admin_0, admin_0, admin_0
`cultural_group_name`	cultural_group_name	string	CCL	0%	11	Quechua, Aimara, De un pueblo indígena u originario de...
`group_persons`	group_persons	integer	CCL	0%	11	5611085, 655552, 508114, 8946, 1976396
`location_group_fraction`	location_group_fraction	float	CCL	0%	11	17.1561, 2.0044, 1.5536, 0.0274, 6.0429
`significantly_populated`	significantly_populated	string	CCL	0%	1	true, true, true, true, true

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

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	national, national, national, national, national
`departamento_name`	departamento_name	string	100%	-	-
`provincia_name`	provincia_name	string	100%	-	-
`ethnic_group_key`	ethnic_group_key	string	0%	11	quechua, aimara, amazonian_indigenous, other_indigenous,...
`is_residual_category`	is_residual_category	boolean	0%	2	False, False, False, False, False
`ethnic_universe_persons`	ethnic_universe_persons	integer	0%	1	32706028, 32706028, 32706028, 32706028, 32706028

PER Inei Censo2025 - PER Censo2025 Language National — 11 rows, 15 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	string	SEL	100%	-	-
`name`	name	string	SEL	0%	1	Perú, Perú, Perú, Perú, Perú
`admin_level`	admin_level	string	SEL	0%	1	admin_0, admin_0, admin_0, admin_0, admin_0
`language_name`	language_name	string	CCL	0%	11	Quechua, Aimara, Ashaninka, Awajún/Aguaruna, Shipibo-konibo
`language_iso639_3`	language_iso639_3	string	CCL	0%	8	que, aym, cni, agr, shp
`language_description`	language_description	string	CCL	64%	4	Otros idiomas o lenguas indígenas u originarias, Otro...
`mother_tongue_speakers`	mother_tongue_speakers	integer	CCL	0%	11	4270065, 462086, 80928, 114730, 45040
`language_location_group_fraction`	language_location_group_fraction	float	CCL	0%	11	13.5177, 1.4628, 0.2562, 0.3632, 0.1426
`language_significantly_populated`	language_significantly_populated	string	CCL	0%	1	true, true, true, true, true

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

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	national, national, national, national, national
`departamento_name`	departamento_name	string	100%	-	-
`provincia_name`	provincia_name	string	100%	-	-
`language_key`	language_key	string	0%	11	quechua, aimara, ashaninka, awajun, shipibo_konibo
`is_residual_category`	is_residual_category	boolean	0%	2	False, False, False, False, False
`language_universe_persons_3_plus`	language_universe_persons_3_plus	integer	0%	1	31588655, 31588655, 31588655, 31588655, 31588655

PER Inei Censo2025 - PER Censo2025 National — 1 rows, 256 columns

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Field details — 256 fields (type, nulls, unique, samples)

Standards-Aligned Fields (20)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	string	SEL	100%	-	-
`name`	name	string	SEL	0%	1	Perú
`admin_level`	admin_level	string	SEL	0%	1	admin_0
`sex__total`	sex__total	integer	SEL	0%	1	32706028
`sex__hombres`	sex__hombres	integer	SEL	0%	1	16120555
`sex__mujeres`	sex__mujeres	integer	SEL	0%	1	16585473
`age_broad__de_0_a_14_anos`	age_broad__de_0_a_14_anos	integer	SEL	0%	1	7429471
`age_broad__de_60_anos_y_mas`	age_broad__de_60_anos_y_mas	integer	SEL	0%	1	4839138
`marital_status_12_plus__casado_a`	marital_status_12_plus__casado_a	integer	SEL	0%	1	5716027
`marital_status_12_plus__viudo_a`	marital_status_12_plus__viudo_a	integer	SEL	0%	1	1198592
`marital_status_12_plus__divorciado_a`	marital_status_12_plus__divorciado_a	integer	SEL	0%	1	255085
`marital_status_12_plus__soltero_a_nunca_casado_a_o_nunca_conviviente`	marital_status_12_plus__soltero_a_nunca_casado_a_o_nunca_conviviente	integer	SEL	0%	1	10451758
`education_level_15_plus__sin_nivel`	education_level_15_plus__sin_nivel	integer	SEL	0%	1	917690
`literacy_15_plus__no_sabe_leer_ni_escribir`	literacy_15_plus__no_sabe_leer_ni_escribir	integer	SEL	0%	1	1297268
`literacy_15_plus__sabe_leer_y_escribir`	literacy_15_plus__sabe_leer_y_escribir	integer	SEL	0%	1	23979289
`mother_tongue_3_plus__total`	mother_tongue_3_plus__total	integer	SEL	0%	1	31588655
`dwelling_type__total`	dwelling_type__total	integer	SEL	0%	1	13762606
`dwelling_occupancy__vivienda_desocupada`	dwelling_occupancy__vivienda_desocupada	integer	SEL	0%	1	1605713
`dwelling_water_source__red_publica`	dwelling_water_source__red_publica	integer	SEL	0%	1	8060180
`household_tenure__total`	household_tenure__total	integer	SEL	0%	1	10570171

Extension Fields (236) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	national
`departamento_name`	departamento_name	string	100%	-	-
`provincia_name`	provincia_name	string	100%	-	-
`inei_id_geografia`	inei_id_geografia	string	100%	-	-
`published_on_census_limits`	published_on_census_limits	boolean	0%	1	False
`age_broad__de_15_a_59_anos`	age_broad__de_15_a_59_anos	integer	0%	1	20437419
`fertility_women_15_49__total`	fertility_women_15_49__total	integer	0%	1	8563388
`fertility_women_15_49__con_1`	fertility_women_15_49__con_1	integer	0%	1	1601794
`fertility_women_15_49__con_2`	fertility_women_15_49__con_2	integer	0%	1	1716085
`fertility_women_15_49__con_3`	fertility_women_15_49__con_3	integer	0%	1	982161
`fertility_women_15_49__con_4`	fertility_women_15_49__con_4	integer	0%	1	416635
`fertility_women_15_49__con_5`	fertility_women_15_49__con_5	integer	0%	1	172969
`fertility_women_15_49__con_6_y_mas`	fertility_women_15_49__con_6_y_mas	integer	0%	1	153270
`fertility_women_15_49__sin_hijos`	fertility_women_15_49__sin_hijos	integer	0%	1	3520474
`fertility_women_12_plus__total`	fertility_women_12_plus__total	integer	0%	1	13780411
`fertility_women_12_plus__con_1`	fertility_women_12_plus__con_1	integer	0%	1	2047525
`fertility_women_12_plus__con_2`	fertility_women_12_plus__con_2	integer	0%	1	2577884
`fertility_women_12_plus__con_3`	fertility_women_12_plus__con_3	integer	0%	1	1795656
`fertility_women_12_plus__con_4`	fertility_women_12_plus__con_4	integer	0%	1	999326
`fertility_women_12_plus__con_5`	fertility_women_12_plus__con_5	integer	0%	1	571079
`fertility_women_12_plus__con_6_y_mas`	fertility_women_12_plus__con_6_y_mas	integer	0%	1	1083723
`fertility_women_12_plus__sin_hijos`	fertility_women_12_plus__sin_hijos	integer	0%	1	4705218
`foreign_immigrants_sex__total`	foreign_immigrants_sex__total	integer	0%	1	1052977
`foreign_immigrants_sex__hombres`	foreign_immigrants_sex__hombres	integer	0%	1	533641
`foreign_immigrants_sex__mujeres`	foreign_immigrants_sex__mujeres	integer	0%	1	519336
`foreign_immigrants_age__de_0_a_14_anos`	foreign_immigrants_age__de_0_a_14_anos	integer	0%	1	161066
`foreign_immigrants_age__de_15_a_59_anos`	foreign_immigrants_age__de_15_a_59_anos	integer	0%	1	842455
`foreign_immigrants_age__de_60_anos_y_mas`	foreign_immigrants_age__de_60_anos_y_mas	integer	0%	1	49456
`foreign_immigrants_origin__venezuela`	foreign_immigrants_origin__venezuela	integer	0%	1	909692
`foreign_immigrants_origin__colombia`	foreign_immigrants_origin__colombia	integer	0%	1	26423
+206 more extension fields — download the CSV/Parquet to see them all.

1 Admin 1 — 3 table(s)

PER Inei Censo2025 - PER Censo2025 Departamento — 25 rows, 256 columns

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Field details — 256 fields (type, nulls, unique, samples)

Standards-Aligned Fields (20)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	integer	SEL	0%	25	01, 02, 03, 04, 05
`name`	name	string	SEL	0%	25	Amazonas, Áncash, Apurímac, Arequipa, Ayacucho
`admin_level`	admin_level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`sex__total`	sex__total	integer	SEL	0%	25	453100, 1164927, 445365, 1736155, 676976
`sex__hombres`	sex__hombres	integer	SEL	0%	25	227039, 572749, 218150, 864811, 333775
`sex__mujeres`	sex__mujeres	integer	SEL	0%	25	226061, 592178, 227215, 871344, 343201
`age_broad__de_0_a_14_anos`	age_broad__de_0_a_14_anos	integer	SEL	0%	25	137906, 272756, 106840, 336439, 161520
`age_broad__de_60_anos_y_mas`	age_broad__de_60_anos_y_mas	integer	SEL	0%	25	56694, 189953, 70828, 275297, 104310
`marital_status_12_plus__casado_a`	marital_status_12_plus__casado_a	integer	SEL	0%	25	58157, 213061, 99980, 341169, 143227
`marital_status_12_plus__viudo_a`	marital_status_12_plus__viudo_a	integer	SEL	0%	25	13979, 49299, 20546, 60124, 29957
`marital_status_12_plus__divorciado_a`	marital_status_12_plus__divorciado_a	integer	SEL	0%	25	1093, 6423, 1362, 17797, 2305
`marital_status_12_plus__soltero_a_nunca_casado_a_o_nunca_conviviente`	marital_status_12_plus__soltero_a_nunca_casado_a_o_nunca_conviviente	integer	SEL	0%	25	113278, 340992, 115077, 593899, 194484
`education_level_15_plus__sin_nivel`	education_level_15_plus__sin_nivel	integer	SEL	0%	25	19987, 57123, 36112, 29566, 45046
`literacy_15_plus__no_sabe_leer_ni_escribir`	literacy_15_plus__no_sabe_leer_ni_escribir	integer	SEL	0%	25	29246, 77075, 48510, 39401, 62735
`literacy_15_plus__sabe_leer_y_escribir`	literacy_15_plus__sabe_leer_y_escribir	integer	SEL	0%	25	285948, 815096, 290015, 1360315, 452721
`mother_tongue_3_plus__total`	mother_tongue_3_plus__total	integer	SEL	0%	25	429040, 1122486, 428865, 1688009, 652479
`dwelling_type__total`	dwelling_type__total	integer	SEL	0%	25	189232, 523153, 235966, 809008, 355840
`dwelling_occupancy__vivienda_desocupada`	dwelling_occupancy__vivienda_desocupada	integer	SEL	0%	25	19715, 56536, 28752, 74690, 37832
`dwelling_water_source__red_publica`	dwelling_water_source__red_publica	integer	SEL	0%	25	108610, 296506, 147356, 459678, 207103
`household_tenure__total`	household_tenure__total	integer	SEL	0%	25	149604, 380238, 166992, 632684, 247889

Extension Fields (236) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	departamento, departamento, departamento, departamento,...
`departamento_name`	departamento_name	string	100%	-	-
`provincia_name`	provincia_name	string	100%	-	-
`inei_id_geografia`	inei_id_geografia	integer	4%	24	7010000, 7020000, 7030000, 7040000, 7050000
`published_on_census_limits`	published_on_census_limits	boolean	0%	1	False, False, False, False, False
`age_broad__de_15_a_59_anos`	age_broad__de_15_a_59_anos	integer	0%	25	258500, 702218, 267697, 1124419, 411146
`fertility_women_15_49__total`	fertility_women_15_49__total	integer	0%	25	108790, 291260, 112539, 459879, 170829
`fertility_women_15_49__con_1`	fertility_women_15_49__con_1	integer	0%	25	21444, 56605, 21216, 81608, 34173
`fertility_women_15_49__con_2`	fertility_women_15_49__con_2	integer	0%	25	22641, 61148, 23614, 101905, 34674
`fertility_women_15_49__con_3`	fertility_women_15_49__con_3	integer	0%	25	14843, 36632, 14617, 50462, 21490
`fertility_women_15_49__con_4`	fertility_women_15_49__con_4	integer	0%	25	8046, 16038, 7461, 15978, 10913
`fertility_women_15_49__con_5`	fertility_women_15_49__con_5	integer	0%	25	4484, 6745, 3445, 5137, 5094
`fertility_women_15_49__con_6_y_mas`	fertility_women_15_49__con_6_y_mas	integer	0%	25	6153, 5463, 2891, 3039, 4648
`fertility_women_15_49__sin_hijos`	fertility_women_15_49__sin_hijos	integer	0%	25	31179, 108629, 39295, 201750, 59837
`fertility_women_12_plus__total`	fertility_women_12_plus__total	integer	0%	25	172299, 488598, 186540, 745413, 281833
`fertility_women_12_plus__con_1`	fertility_women_12_plus__con_1	integer	0%	25	24280, 70242, 24094, 111552, 39453
`fertility_women_12_plus__con_2`	fertility_women_12_plus__con_2	integer	0%	25	28387, 88602, 29266, 164518, 44809
`fertility_women_12_plus__con_3`	fertility_women_12_plus__con_3	integer	0%	25	21552, 65921, 22248, 102376, 34050
`fertility_women_12_plus__con_4`	fertility_women_12_plus__con_4	integer	0%	25	14506, 40138, 15607, 47406, 23723
`fertility_women_12_plus__con_5`	fertility_women_12_plus__con_5	integer	0%	25	9978, 24605, 11185, 24002, 16736
`fertility_women_12_plus__con_6_y_mas`	fertility_women_12_plus__con_6_y_mas	integer	0%	25	25825, 51062, 30812, 34012, 42139
`fertility_women_12_plus__sin_hijos`	fertility_women_12_plus__sin_hijos	integer	0%	25	47771, 148028, 53328, 261547, 80923
`foreign_immigrants_sex__total`	foreign_immigrants_sex__total	integer	0%	25	1106, 23696, 1307, 35714, 1826
`foreign_immigrants_sex__hombres`	foreign_immigrants_sex__hombres	integer	0%	25	523, 12006, 646, 18210, 940
`foreign_immigrants_sex__mujeres`	foreign_immigrants_sex__mujeres	integer	0%	25	583, 11690, 661, 17504, 886
`foreign_immigrants_age__de_0_a_14_anos`	foreign_immigrants_age__de_0_a_14_anos	integer	0%	25	253, 4842, 265, 5415, 314
`foreign_immigrants_age__de_15_a_59_anos`	foreign_immigrants_age__de_15_a_59_anos	integer	0%	25	804, 18086, 1000, 28532, 1438
`foreign_immigrants_age__de_60_anos_y_mas`	foreign_immigrants_age__de_60_anos_y_mas	integer	0%	25	49, 768, 42, 1767, 74
`foreign_immigrants_origin__venezuela`	foreign_immigrants_origin__venezuela	integer	0%	25	742, 19576, 909, 30086, 1440
`foreign_immigrants_origin__colombia`	foreign_immigrants_origin__colombia	integer	0%	25	33, 655, 28, 873, 71
+206 more extension fields — download the CSV/Parquet to see them all.

PER Inei Censo2025 - PER Censo2025 Ethnicity Departamento — 275 rows, 13 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	integer	SEL	0%	10	01, 01, 01, 01, 01
`name`	name	string	SEL	0%	10	Amazonas, Amazonas, Amazonas, Amazonas, Amazonas
`admin_level`	admin_level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`cultural_group_name`	cultural_group_name	string	CCL	0%	11	Quechua, Aimara, De un pueblo indígena u originario de...
`group_persons`	group_persons	integer	CCL	0%	98	2957, 164, 114429, 214, 33997
`location_group_fraction`	location_group_fraction	float	CCL	0%	99	0.6526, 0.0362, 25.2547, 0.0472, 7.5032
`significantly_populated`	significantly_populated	string	CCL	0%	1	true, true, true, true, true

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

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	departamento, departamento, departamento, departamento,...
`departamento_name`	departamento_name	string	100%	-	-
`provincia_name`	provincia_name	string	100%	-	-
`ethnic_group_key`	ethnic_group_key	string	0%	11	quechua, aimara, amazonian_indigenous, other_indigenous,...
`is_residual_category`	is_residual_category	boolean	0%	2	False, False, False, False, False
`ethnic_universe_persons`	ethnic_universe_persons	integer	0%	10	453100, 453100, 453100, 453100, 453100

PER Inei Censo2025 - PER Censo2025 Language Departamento — 275 rows, 15 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	integer	SEL	0%	10	01, 01, 01, 01, 01
`name`	name	string	SEL	0%	10	Amazonas, Amazonas, Amazonas, Amazonas, Amazonas
`admin_level`	admin_level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`language_name`	language_name	string	CCL	0%	11	Quechua, Aimara, Ashaninka, Awajún/Aguaruna, Shipibo-konibo
`language_iso639_3`	language_iso639_3	string	CCL	0%	8	que, aym, cni, agr, shp
`language_description`	language_description	string	CCL	64%	4	Otros idiomas o lenguas indígenas u originarias, Otro...
`mother_tongue_speakers`	mother_tongue_speakers	integer	CCL	0%	96	1286, 41, 136, 91252, 25
`language_location_group_fraction`	language_location_group_fraction	float	CCL	0%	95	0.2997, 0.0096, 0.0317, 21.2689, 0.0058
`language_significantly_populated`	language_significantly_populated	string	CCL	0%	1	true, true, true, true, true

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

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	departamento, departamento, departamento, departamento,...
`departamento_name`	departamento_name	string	100%	-	-
`provincia_name`	provincia_name	string	100%	-	-
`language_key`	language_key	string	0%	11	quechua, aimara, ashaninka, awajun, shipibo_konibo
`is_residual_category`	is_residual_category	boolean	0%	2	False, False, False, False, False
`language_universe_persons_3_plus`	language_universe_persons_3_plus	integer	0%	10	429040, 429040, 429040, 429040, 429040

2 Admin 2 — 3 table(s)

PER Inei Censo2025 - PER Censo2025 Ethnicity Provincia — 1,966 rows, 13 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	integer	SEL	0%	11	0101, 0101, 0101, 0101, 0101
`name`	name	string	SEL	0%	11	Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas
`admin_level`	admin_level	string	SEL	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`cultural_group_name`	cultural_group_name	string	CCL	0%	11	Quechua, Aimara, De un pueblo indígena u originario de...
`group_persons`	group_persons	integer	CCL	0%	83	1367, 42, 49, 12, 5659
`location_group_fraction`	location_group_fraction	float	CCL	0%	95	2.1898, 0.0673, 0.0785, 0.0192, 9.0651
`significantly_populated`	significantly_populated	string	CCL	0%	1	true, true, true, true, true

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

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	provincia, provincia, provincia, provincia, provincia
`departamento_name`	departamento_name	string	0%	2	Amazonas, Amazonas, Amazonas, Amazonas, Amazonas
`provincia_name`	provincia_name	string	100%	-	-
`ethnic_group_key`	ethnic_group_key	string	0%	11	quechua, aimara, amazonian_indigenous, other_indigenous,...
`is_residual_category`	is_residual_category	boolean	0%	2	False, False, False, False, False
`ethnic_universe_persons`	ethnic_universe_persons	integer	0%	11	62426, 62426, 62426, 62426, 62426

PER Inei Censo2025 - PER Censo2025 Language Provincia — 1,922 rows, 15 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	integer	SEL	0%	11	0101, 0101, 0101, 0101, 0101
`name`	name	string	SEL	0%	11	Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas
`admin_level`	admin_level	string	SEL	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`language_name`	language_name	string	CCL	0%	11	Quechua, Aimara, Ashaninka, Awajún/Aguaruna, Shipibo-konibo
`language_iso639_3`	language_iso639_3	string	CCL	0%	8	que, aym, cni, agr, shp
`language_description`	language_description	string	CCL	62%	4	Otros idiomas o lenguas indígenas u originarias, Otro...
`mother_tongue_speakers`	mother_tongue_speakers	integer	CCL	0%	75	499, 15, 1, 66, 3
`language_location_group_fraction`	language_location_group_fraction	float	CCL	0%	96	0.8284, 0.0249, 0.0017, 0.1096, 0.005
`language_significantly_populated`	language_significantly_populated	string	CCL	0%	1	true, true, true, true, true

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

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	provincia, provincia, provincia, provincia, provincia
`departamento_name`	departamento_name	string	0%	2	Amazonas, Amazonas, Amazonas, Amazonas, Amazonas
`provincia_name`	provincia_name	string	100%	-	-
`language_key`	language_key	string	0%	11	quechua, aimara, ashaninka, awajun, shipibo_konibo
`is_residual_category`	is_residual_category	boolean	0%	2	False, False, False, False, False
`language_universe_persons_3_plus`	language_universe_persons_3_plus	integer	0%	11	60237, 60237, 60237, 60237, 60237

PER Inei Censo2025 - PER Censo2025 Provincia — 196 rows, 256 columns

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Field details — 256 fields (type, nulls, unique, samples)

Standards-Aligned Fields (20)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	integer	SEL	0%	100	0101, 0102, 0103, 0104, 0105
`name`	name	string	SEL	0%	100	Chachapoyas, Bagua, Bongará, Condorcanqui, Luya
`admin_level`	admin_level	string	SEL	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`sex__total`	sex__total	integer	SEL	0%	100	62426, 93101, 25996, 80426, 47496
`sex__hombres`	sex__hombres	integer	SEL	0%	100	30709, 46068, 12750, 40236, 24360
`sex__mujeres`	sex__mujeres	integer	SEL	0%	100	31717, 47033, 13246, 40190, 23136
`age_broad__de_0_a_14_anos`	age_broad__de_0_a_14_anos	integer	SEL	0%	99	13866, 31775, 6331, 36363, 12032
`age_broad__de_60_anos_y_mas`	age_broad__de_60_anos_y_mas	integer	SEL	0%	100	9470, 9575, 4496, 3610, 8513
`marital_status_12_plus__casado_a`	marital_status_12_plus__casado_a	integer	SEL	0%	100	11965, 9049, 4805, 1614, 9611
`marital_status_12_plus__viudo_a`	marital_status_12_plus__viudo_a	integer	SEL	0%	100	2384, 2427, 1088, 1245, 2005
`marital_status_12_plus__divorciado_a`	marital_status_12_plus__divorciado_a	integer	SEL	0%	87	289, 161, 109, 30, 111
`marital_status_12_plus__soltero_a_nunca_casado_a_o_nunca_conviviente`	marital_status_12_plus__soltero_a_nunca_casado_a_o_nunca_conviviente	integer	SEL	0%	100	19329, 22628, 6674, 17685, 11828
`education_level_15_plus__sin_nivel`	education_level_15_plus__sin_nivel	integer	SEL	0%	98	1617, 3969, 1157, 3619, 2441
`literacy_15_plus__no_sabe_leer_ni_escribir`	literacy_15_plus__no_sabe_leer_ni_escribir	integer	SEL	0%	100	2360, 5456, 1597, 5221, 3673
`literacy_15_plus__sabe_leer_y_escribir`	literacy_15_plus__sabe_leer_y_escribir	integer	SEL	0%	100	46200, 55870, 18068, 38842, 31791
`mother_tongue_3_plus__total`	mother_tongue_3_plus__total	integer	SEL	0%	100	60237, 87481, 25072, 72948, 45583
`dwelling_type__total`	dwelling_type__total	integer	SEL	0%	99	32070, 34089, 12334, 22481, 21802
`dwelling_occupancy__vivienda_desocupada`	dwelling_occupancy__vivienda_desocupada	integer	SEL	0%	100	2751, 3761, 1245, 1992, 1499
`dwelling_water_source__red_publica`	dwelling_water_source__red_publica	integer	SEL	0%	99	19977, 18506, 8389, 7151, 14622
`household_tenure__total`	household_tenure__total	integer	SEL	0%	100	23830, 28026, 9707, 18853, 17327

Extension Fields (236) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	provincia, provincia, provincia, provincia, provincia
`departamento_name`	departamento_name	string	0%	11	Amazonas, Amazonas, Amazonas, Amazonas, Amazonas
`provincia_name`	provincia_name	string	100%	-	-
`inei_id_geografia`	inei_id_geografia	integer	0%	100	8010100, 8010200, 8010300, 8010400, 8010500
`published_on_census_limits`	published_on_census_limits	boolean	0%	1	False, False, False, False, False
`age_broad__de_15_a_59_anos`	age_broad__de_15_a_59_anos	integer	0%	100	39090, 51751, 15169, 40453, 26951
`fertility_women_15_49__total`	fertility_women_15_49__total	integer	0%	99	16344, 22556, 6168, 18276, 10453
`fertility_women_15_49__con_1`	fertility_women_15_49__con_1	integer	0%	100	3484, 4331, 1305, 2668, 2130
`fertility_women_15_49__con_2`	fertility_women_15_49__con_2	integer	0%	100	3516, 4457, 1545, 2793, 2198
`fertility_women_15_49__con_3`	fertility_women_15_49__con_3	integer	0%	100	1899, 3048, 947, 2273, 1619
`fertility_women_15_49__con_4`	fertility_women_15_49__con_4	integer	0%	98	788, 1658, 391, 1851, 872
`fertility_women_15_49__con_5`	fertility_women_15_49__con_5	integer	0%	93	353, 1032, 167, 1342, 457
`fertility_women_15_49__con_6_y_mas`	fertility_women_15_49__con_6_y_mas	integer	0%	97	240, 1515, 131, 2798, 440
`fertility_women_15_49__sin_hijos`	fertility_women_15_49__sin_hijos	integer	0%	100	6064, 6515, 1682, 4551, 2737
`fertility_women_12_plus__total`	fertility_women_12_plus__total	integer	0%	100	26381, 34524, 10810, 25400, 18617
`fertility_women_12_plus__con_1`	fertility_women_12_plus__con_1	integer	0%	100	4204, 4817, 1561, 2776, 2473
`fertility_women_12_plus__con_2`	fertility_women_12_plus__con_2	integer	0%	99	5076, 5427, 2046, 2903, 2840
`fertility_women_12_plus__con_3`	fertility_women_12_plus__con_3	integer	0%	100	3366, 4209, 1530, 2472, 2442
`fertility_women_12_plus__con_4`	fertility_women_12_plus__con_4	integer	0%	99	2005, 2781, 981, 2103, 1765
`fertility_women_12_plus__con_5`	fertility_women_12_plus__con_5	integer	0%	98	1242, 2054, 635, 1688, 1225
`fertility_women_12_plus__con_6_y_mas`	fertility_women_12_plus__con_6_y_mas	integer	0%	100	2456, 5066, 1472, 5363, 3389
`fertility_women_12_plus__sin_hijos`	fertility_women_12_plus__sin_hijos	integer	0%	100	8032, 10170, 2585, 8095, 4483
`foreign_immigrants_sex__total`	foreign_immigrants_sex__total	integer	0%	79	408, 154, 55, 28, 32
`foreign_immigrants_sex__hombres`	foreign_immigrants_sex__hombres	integer	0%	65	200, 73, 24, 18, 11
`foreign_immigrants_sex__mujeres`	foreign_immigrants_sex__mujeres	integer	0%	68	208, 81, 31, 10, 21
`foreign_immigrants_age__de_0_a_14_anos`	foreign_immigrants_age__de_0_a_14_anos	integer	0%	55	87, 30, 18, 5, 7
`foreign_immigrants_age__de_15_a_59_anos`	foreign_immigrants_age__de_15_a_59_anos	integer	0%	70	303, 118, 34, 22, 21
`foreign_immigrants_age__de_60_anos_y_mas`	foreign_immigrants_age__de_60_anos_y_mas	integer	0%	33	18, 6, 3, 1, 4
`foreign_immigrants_origin__venezuela`	foreign_immigrants_origin__venezuela	integer	0%	62	299, 107, 9, 7, 9
`foreign_immigrants_origin__colombia`	foreign_immigrants_origin__colombia	integer	0%	31	14, 6, 5, 0, 0
+206 more extension fields — download the CSV/Parquet to see them all.

3 Admin 3 — 3 table(s)

PER Inei Censo2025 - PER Censo2025 Distrito — 1,893 rows, 256 columns

Loading data…

Field details — 256 fields (type, nulls, unique, samples)

Standards-Aligned Fields (20)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	integer	SEL	0%	100	010101, 010102, 010103, 010104, 010105
`name`	name	string	SEL	0%	99	Chachapoyas, Asunción, Balsas, Cheto, Chiliquín
`admin_level`	admin_level	string	SEL	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`sex__total`	sex__total	integer	SEL	0%	98	38529, 212, 1428, 601, 590
`sex__hombres`	sex__hombres	integer	SEL	0%	98	18210, 102, 773, 313, 310
`sex__mujeres`	sex__mujeres	integer	SEL	0%	97	20319, 110, 655, 288, 280
`age_broad__de_0_a_14_anos`	age_broad__de_0_a_14_anos	integer	SEL	0%	97	8826, 28, 366, 102, 138
`age_broad__de_60_anos_y_mas`	age_broad__de_60_anos_y_mas	integer	SEL	0%	95	4568, 63, 268, 134, 129
`marital_status_12_plus__casado_a`	marital_status_12_plus__casado_a	integer	SEL	0%	96	6246, 46, 188, 235, 124
`marital_status_12_plus__viudo_a`	marital_status_12_plus__viudo_a	integer	SEL	0%	82	1136, 27, 64, 30, 35
`marital_status_12_plus__divorciado_a`	marital_status_12_plus__divorciado_a	integer	SEL	0%	30	224, 3, 5, 2, 1
`marital_status_12_plus__soltero_a_nunca_casado_a_o_nunca_conviviente`	marital_status_12_plus__soltero_a_nunca_casado_a_o_nunca_conviviente	integer	SEL	0%	96	13373, 60, 323, 133, 135
`education_level_15_plus__sin_nivel`	education_level_15_plus__sin_nivel	integer	SEL	0%	83	559, 17, 80, 28, 28
`literacy_15_plus__no_sabe_leer_ni_escribir`	literacy_15_plus__no_sabe_leer_ni_escribir	integer	SEL	0%	87	755, 21, 130, 36, 47
`literacy_15_plus__sabe_leer_y_escribir`	literacy_15_plus__sabe_leer_y_escribir	integer	SEL	0%	99	28948, 163, 932, 463, 405
`mother_tongue_3_plus__total`	mother_tongue_3_plus__total	integer	SEL	0%	100	37138, 206, 1360, 580, 571
`dwelling_type__total`	dwelling_type__total	integer	SEL	0%	97	18394, 159, 766, 375, 384
`dwelling_occupancy__vivienda_desocupada`	dwelling_occupancy__vivienda_desocupada	integer	SEL	0%	80	1676, 17, 51, 35, 9
`dwelling_water_source__red_publica`	dwelling_water_source__red_publica	integer	SEL	0%	96	12400, 79, 237, 206, 184
`household_tenure__total`	household_tenure__total	integer	SEL	0%	97	14273, 103, 564, 268, 236

Extension Fields (236) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	distrito, distrito, distrito, distrito, distrito
`departamento_name`	departamento_name	string	0%	2	Amazonas, Amazonas, Amazonas, Amazonas, Amazonas
`provincia_name`	provincia_name	string	0%	9	Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas
`inei_id_geografia`	inei_id_geografia	integer	0%	100	9010101, 9010102, 9010103, 9010104, 9010105
`published_on_census_limits`	published_on_census_limits	boolean	0%	1	False, False, False, False, False
`age_broad__de_15_a_59_anos`	age_broad__de_15_a_59_anos	integer	0%	99	25135, 121, 794, 365, 323
`fertility_women_15_49__total`	fertility_women_15_49__total	integer	0%	93	11372, 34, 289, 123, 114
`fertility_women_15_49__con_1`	fertility_women_15_49__con_1	integer	0%	83	2567, 6, 49, 32, 24
`fertility_women_15_49__con_2`	fertility_women_15_49__con_2	integer	0%	80	2392, 4, 53, 31, 34
`fertility_women_15_49__con_3`	fertility_women_15_49__con_3	integer	0%	73	1118, 12, 53, 19, 23
`fertility_women_15_49__con_4`	fertility_women_15_49__con_4	integer	0%	64	380, 2, 19, 0, 10
`fertility_women_15_49__con_5`	fertility_women_15_49__con_5	integer	0%	50	141, 0, 22, 5, 2
`fertility_women_15_49__con_6_y_mas`	fertility_women_15_49__con_6_y_mas	integer	0%	52	75, 0, 16, 5, 1
`fertility_women_15_49__sin_hijos`	fertility_women_15_49__sin_hijos	integer	0%	89	4699, 10, 77, 31, 20
`fertility_women_12_plus__total`	fertility_women_12_plus__total	integer	0%	98	16885, 96, 517, 244, 232
`fertility_women_12_plus__con_1`	fertility_women_12_plus__con_1	integer	0%	86	3076, 15, 57, 37, 27
`fertility_women_12_plus__con_2`	fertility_women_12_plus__con_2	integer	0%	83	3452, 11, 71, 47, 47
`fertility_women_12_plus__con_3`	fertility_women_12_plus__con_3	integer	0%	88	2005, 21, 74, 39, 41
`fertility_women_12_plus__con_4`	fertility_women_12_plus__con_4	integer	0%	85	998, 15, 45, 20, 27
`fertility_women_12_plus__con_5`	fertility_women_12_plus__con_5	integer	0%	75	531, 7, 48, 15, 16
`fertility_women_12_plus__con_6_y_mas`	fertility_women_12_plus__con_6_y_mas	integer	0%	90	843, 10, 93, 38, 34
`fertility_women_12_plus__sin_hijos`	fertility_women_12_plus__sin_hijos	integer	0%	86	5980, 17, 129, 48, 40
`foreign_immigrants_sex__total`	foreign_immigrants_sex__total	integer	0%	24	357, 0, 0, 1, 0
`foreign_immigrants_sex__hombres`	foreign_immigrants_sex__hombres	integer	0%	18	168, 0, 0, 1, 0
`foreign_immigrants_sex__mujeres`	foreign_immigrants_sex__mujeres	integer	0%	18	189, 0, 0, 0, 0
`foreign_immigrants_age__de_0_a_14_anos`	foreign_immigrants_age__de_0_a_14_anos	integer	0%	14	74, 0, 0, 0, 0
`foreign_immigrants_age__de_15_a_59_anos`	foreign_immigrants_age__de_15_a_59_anos	integer	0%	22	266, 0, 0, 1, 0
`foreign_immigrants_age__de_60_anos_y_mas`	foreign_immigrants_age__de_60_anos_y_mas	integer	0%	8	17, 0, 0, 0, 0
`foreign_immigrants_origin__venezuela`	foreign_immigrants_origin__venezuela	integer	0%	18	276, 0, 0, 0, 0
`foreign_immigrants_origin__colombia`	foreign_immigrants_origin__colombia	integer	0%	8	11, 0, 0, 0, 0
+206 more extension fields — download the CSV/Parquet to see them all.

PER Inei Censo2025 - PER Censo2025 Ethnicity Distrito — 13,894 rows, 13 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	integer	SEL	0%	15	010101, 010101, 010101, 010101, 010101
`name`	name	string	SEL	0%	15	Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas
`admin_level`	admin_level	string	SEL	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`cultural_group_name`	cultural_group_name	string	CCL	0%	11	Quechua, Aimara, De un pueblo indígena u originario de...
`group_persons`	group_persons	integer	CCL	0%	71	746, 34, 35, 8, 2675
`location_group_fraction`	location_group_fraction	float	CCL	0%	95	1.9362, 0.0882, 0.0908, 0.0208, 6.9428
`significantly_populated`	significantly_populated	string	CCL	0%	1	true, true, true, true, true

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

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	distrito, distrito, distrito, distrito, distrito
`departamento_name`	departamento_name	string	0%	1	Amazonas, Amazonas, Amazonas, Amazonas, Amazonas
`provincia_name`	provincia_name	string	0%	1	Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas
`ethnic_group_key`	ethnic_group_key	string	0%	11	quechua, aimara, amazonian_indigenous, other_indigenous,...
`is_residual_category`	is_residual_category	boolean	0%	2	False, False, False, False, False
`ethnic_universe_persons`	ethnic_universe_persons	integer	0%	15	38529, 38529, 38529, 38529, 38529

PER Inei Censo2025 - PER Censo2025 Language Distrito — 13,171 rows, 15 columns

Loading data…

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`ubigeo`	ubigeo	integer	SEL	0%	19	010101, 010101, 010101, 010101, 010101
`name`	name	string	SEL	0%	19	Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas
`admin_level`	admin_level	string	SEL	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`language_name`	language_name	string	CCL	0%	11	Quechua, Aimara, Awajún/Aguaruna, Shipibo-konibo, Otros...
`language_iso639_3`	language_iso639_3	string	CCL	0%	8	que, aym, agr, shp, und
`language_description`	language_description	string	CCL	55%	4	Otros idiomas o lenguas indígenas u originarias, Otro...
`mother_tongue_speakers`	mother_tongue_speakers	integer	CCL	0%	45	257, 15, 46, 1, 8
`language_location_group_fraction`	language_location_group_fraction	float	CCL	0%	85	0.692, 0.0404, 0.1239, 0.0027, 0.0215
`language_significantly_populated`	language_significantly_populated	string	CCL	0%	1	true, true, true, true, true

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

Field Name	Label	Type	Nulls	Unique	Samples
`tier`	tier	string	0%	1	distrito, distrito, distrito, distrito, distrito
`departamento_name`	departamento_name	string	0%	1	Amazonas, Amazonas, Amazonas, Amazonas, Amazonas
`provincia_name`	provincia_name	string	0%	1	Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas, Chachapoyas
`language_key`	language_key	string	0%	11	quechua, aimara, awajun, shipibo_konibo, other_indigenous
`is_residual_category`	is_residual_category	boolean	0%	2	False, False, False, False, False
`language_universe_persons_3_plus`	language_universe_persons_3_plus	integer	0%	19	37138, 37138, 37138, 37138, 37138

PER USAID DHS Program PER-DHS Health Surveys

441 rows · 2 tables · 2012 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)

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

Loading data…

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 World Bank Open Data PER-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 3 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 World Bank - Migration Indicators — 66 rows, 9 columns

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	PER, PER, PER, PER, PER
`country_name`	country_name	string	0%	1	Peru, Peru, Peru, Peru, Peru
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	48985.0, 56831.0, 66103.0, 77195.0, 102662.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	6	0.2, 0.2, 0.2, 0.3, 0.4
`net_migration`	net_migration	float	0%	66	-7236.0, -7063.0, -9051.0, -10040.0, -12129.0
`remittances_received_usd`	remittances_received_usd	float	46%	36	87000000.0, 148000000.0, 240000000.0, 289000000.0, 473000000.0
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	46%	36	0.3294158473427, 0.43096587666862, 0.667291282757824,...
`remittances_paid_usd`	remittances_paid_usd	float	56%	29	24000000.0, 33310001.37, 20620000.84, 45990001.68, 58680000.31

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

191 rows · 3 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 33 ext ▶

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0 Admin 0 — 3 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, que, aym, eng, por
`gns_language_name`	gns_language_name	string	CCL	0%	5	Spanish, Quechua, Aymara, English, Portuguese
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	9680, 26, 26, 24, 16
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	99.0585, 0.2661, 0.2661, 0.2456, 0.1637
`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, 25 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	99.9913
`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	45871
`gns_feature_count`	gns_feature_count	integer	0%	1	35836
`gns_endonym_count`	gns_endonym_count	integer	0%	1	45867
`gns_exonym_count`	gns_exonym_count	integer	0%	1	4
`gns_source_build_date`	gns_source_build_date	string	0%	1	Mon, 21 Sep 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-09-21
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	23764
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	18475
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1122
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1014
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	10748
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	8805
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	8674
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	6579
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	1046
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	777
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	517
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	186
`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 NGA GNS - Admin Crosswalk — 185 rows, 12 columns

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Field details — 12 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, PER, PER, PER, PER

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	100	-336692, -336820, -337337, -337474, -337842
`admin_designation`	admin_designation	string	0%	2	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	93	Amazonas, Ancash, Apurímac, Arequipa, Ayacucho
`gns_local_name`	gns_local_name	string	100%	-	-
`iso_3166_2`	iso_3166_2	string	0%	26	PE-AMA, PE-ANC, PE-APU, PE-ARE, PE-AYA
`parent_code`	parent_code	string	0%	23	PER, PER, PER, PER, PER
`gns_prominence_band`	gns_prominence_band	integer	0%	3	9, 9, 9, 9, 9
`latitude`	latitude	float	0%	95	-5.0, -9.5, -14.0, -16.0, -14.0
`longitude`	longitude	float	0%	98	-78.233333, -77.75, -73.0, -72.25, -74.25
`gns_mgrs`	gns_mgrs	string	0%	100	17MRQ0681546690, 18LSQ9805348672, 18LYK1602151361,...
`name_variant_count`	name_variant_count	integer	0%	8	6, 7, 7, 6, 6

PER Glottolog Language Catalog PER-GLOTTOLOG Language

131 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 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 (12)

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%	-	-
`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 (4) — 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
`country_codes`	Country codes	string	0%	9	['PE'], ['EC', 'PE'], ['PE'], ['PE'], ['PE']
`classification`	classification	string	0%	1	[], [], [], [], []

PER UNHCR Refugee Data Finder PER-UNHCR Migration

93 rows · 2 tables · 2025 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 — 55 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 — 38 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 LandScan Global (ORNL) PER-LANDSCAN Modeled Population

70 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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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 · 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)

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 tables · 2024 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

Loading data…

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 · 2022 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 tables · 2024 OpenFactBook 0 1 2 3 100 SEL 1 CCL 642 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, 21 columns

Loading data…

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

Standards-Aligned Fields (7)

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_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 (15) — 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_country_code_text`	Internet country code text	string	0%	1	.pe
`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, 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	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, 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	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, 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	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, 58 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, 77 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, 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	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, 7 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, 22 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, 137 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, 6 columns

Loading data…

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, 9 columns

Loading data…

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, 6 columns

Loading data…

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, 30 columns

Loading data…

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`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 (29) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	OB
`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 D-PLACE PER-DPLACE Ethnographic Societies

10 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 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 D-PLACE - Dplace Ea Societies — 5 rows, 23 columns

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Field details — 23 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	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%	3	EA017:3; EA018:3; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	5	EA006:2; EA007:8; EA008:1; EA009:1; EA023:8; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	5	EA001:0; EA002:5; EA003:1; EA004:0; EA005:4; EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	3	EA032:2; EA033:1, EA032:2; EA033:1, EA032:2; EA033:5,...
`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	EA010:9; EA011:1; EA012:8; EA013:9; EA014:11, EA010:9;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	3	EA030:7; EA031:1, EA030:7; EA031:1, EA030:7; EA031:7,...

Extension Fields (11) — 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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

PER D-PLACE - Dplace Ea Societies Decoded — 5 rows, 49 columns

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

Standards-Aligned Fields (5)

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	, , , ,

Extension Fields (44) — 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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	20%	1	2, 2, 2, 2
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	20%	2	1, 1, 5, 1
`religion_high_gods`	religion_high_gods	integer	20%	2	1, 1, 2, 2
`trance_states`	trance_states	integer	0%	3	5, 1, 5, 1, 2
`settlement_patterns`	settlement_patterns	integer	20%	1	7, 7, 7, 7
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	20%	2	1, 1, 7, 1
`marital_residence_first_years`	marital_residence_first_years	integer	0%	3	9, 9, 10, 12, 9
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	3	1, 3, 1, 2, 3
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	4	8, 9, 10, 12, 9
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	3	9, 9, 2, 3, 9
`marital_residence_alternate`	marital_residence_alternate	integer	0%	3	11, 11, 6, 9, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	2	3, 1, 1, 1, 1
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	2	3, 1, 1, 1, 1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	1	1, 1, 1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1, 1, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	2	9, 1, 1, 1, 1
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	80%	1	4
`descent_major_type`	descent_major_type	integer	0%	2	1, 6, 6, 6, 6
+14 more extension fields — download the CSV/Parquet to see them all.

PER INFORM Risk Index (EC-JRC) PER-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 269 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

PER Inform - Risk Index — 1 rows, 269 columns

Loading data…

Field details — 269 fields (type, nulls, unique, samples)

Pending (269) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	PER
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	32042.8571428571
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.114285714285714
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0915096449758276
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	1280000.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.075
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.023108259279807
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	2.9
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	1.58257973194122
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	3.7
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	3.4
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	4.2
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	6.9
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	3.3
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	3.2
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	3.9
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	2.9
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.6
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	5.8
`inform_cc_inf_com`	Communication	float	0%	1	1.9
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	3.9
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.4
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	1.3
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	1.8
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	4.2
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.9
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.4
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	2.4
`inform_institutional_capacity`	Institutional	float	0%	1	4.0
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	1.8
+239 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share*	Script
Spanish (spa)	9,680	99.1%	—
Quechua (que)	26	0.3%	—
Aymara (aym)	26	0.3%	—
English (eng)	24	0.2%	—
Portuguese (por)	16	0.2%	—

Source	Type	Access
INEI Peru (Instituto Nacional de Estadistica e Informatica)	official_nso	api
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Google	commercial	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
World Bank Open Data	international_organization	api
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
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download