| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | integer | SEL | 0% | 16 | 15, 1, 2, 3, 4 |
admin_name |
Admin name | string | SEL | 0% | 16 | REGIÓN DE ARICA Y PARINACOTA, REGIÓN DE TARAPACÁ, REGIÓN... |
TOTAL_PERS |
Population count | integer | SEL | 0% | 16 | 226068, 330558, 607534, 286168, 757586 |
HOMBRES |
Population male | integer | SEL | 0% | 16 | 112581, 167793, 315014, 144420, 368774 |
MUJERES |
Population female | integer | SEL | 0% | 16 | 113487, 162765, 292520, 141748, 388812 |
TOTAL_VIVI |
Dwelling count | integer | SEL | 0% | 16 | 76201, 117809, 196349, 121094, 308608 |
| 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 |
year | integer | 0% | 1 | 2017, 2017, 2017, 2017, 2017 |
PARTICULAR |
PARTICULAR | integer | 0% | 16 | 75902, 117450, 195173, 120645, 307844 |
COLECTIVAS |
COLECTIVAS | integer | 0% | 16 | 299, 359, 1176, 449, 764 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | integer | SEL | 0% | 56 | 151, 152, 11, 14, 21 |
admin_name |
Admin name | string | SEL | 0% | 56 | ARICA, PARINACOTA, IQUIQUE, TAMARUGAL, ANTOFAGASTA |
TOTAL_PERS |
Population count | integer | SEL | 0% | 56 | 222619, 3449, 299843, 30715, 398843 |
HOMBRES |
Population male | integer | SEL | 0% | 56 | 110115, 2466, 149103, 18690, 206024 |
MUJERES |
Population female | integer | SEL | 0% | 56 | 112504, 983, 150740, 12025, 192819 |
TOTAL_VIVI |
Dwelling count | integer | SEL | 0% | 56 | 73587, 2614, 100164, 17645, 121830 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
year | integer | 0% | 1 | 2017, 2017, 2017, 2017, 2017 |
PARTICULAR |
PARTICULAR | integer | 0% | 56 | 73341, 2561, 99887, 17563, 121326 |
COLECTIVAS |
COLECTIVAS | integer | 0% | 51 | 246, 53, 277, 82, 504 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
Admin code | integer | SEL | 0% | 100 | 15101, 15102, 15201, 15202, 1101 |
admin_name |
Admin name | string | SEL | 0% | 100 | ARICA, CAMARONES, PUTRE, GENERAL LAGOS, IQUIQUE |
TOTAL_PERS |
Population count | integer | SEL | 0% | 100 | 221364, 1255, 2765, 684, 191468 |
HOMBRES |
Population male | integer | SEL | 0% | 100 | 109389, 726, 2054, 412, 94897 |
MUJERES |
Population female | integer | SEL | 0% | 100 | 111975, 529, 711, 272, 96571 |
TOTAL_VIVI |
Dwelling count | integer | SEL | 0% | 100 | 72639, 948, 1917, 697, 66986 |
DENSIDAD |
Population density | float | SEL | 0% | 92 | 46.2, 0.3, 0.5, 0.3, 83.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
year |
year | integer | 0% | 1 | 2017, 2017, 2017, 2017, 2017 |
region_code |
region_code | integer | 0% | 7 | 15, 15, 15, 15, 1 |
provincia_code |
provincia_code | integer | 0% | 22 | 151, 151, 152, 152, 11 |
PARTICULAR |
PARTICULAR | integer | 0% | 100 | 72414, 927, 1875, 686, 66725 |
COLECTIVAS |
COLECTIVAS | integer | 0% | 65 | 225, 21, 42, 11, 261 |
INDICE_MAS |
INDICE_MAS | float | 0% | 76 | 97.7, 137.2, 288.9, 151.5, 98.3 |
INDICE_DEP |
INDICE_DEP | float | 0% | 78 | 48.9, 46.8, 21.3, 41.9, 43.8 |
IND_DEP_JU |
IND_DEP_JU | float | 0% | 77 | 32.7, 22.7, 11, 21.4, 30.5 |
IND_DEP_VE |
IND_DEP_VE | float | 0% | 78 | 16.2, 24.1, 10.3, 20.5, 13.3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL, CHL, CHL, CHL, CHL |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 14 | Total, Aysén, Antofagasta, Araucanía, Atacama |
human_development_index |
Human development index | float | SEL | 0% | 71 | 0.745, 0.706, 0.768, 0.687, 0.748 |
health_index |
Health index | float | SEL | 0% | 54 | 0.826, 0.822, 0.798, 0.81, 0.851 |
education_index |
Education index | float | SEL | 0% | 73 | 0.708, 0.629, 0.789, 0.602, 0.702 |
income_index |
Income index | float | SEL | 0% | 66 | 0.706, 0.679, 0.72, 0.664, 0.701 |
life_expectancy |
Life expectancy | float | SEL | 0% | 88 | 73.68, 73.46, 71.88, 72.67, 75.29 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 93 | 10.62, 9.43, 11.84, 9.029, 10.53 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 8 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | CL |
region_name |
Region name | string | SEL | 0% | 1 | Chile |
F_TL |
Female population | integer | SEL | 0% | 1 | 10045585 |
M_TL |
Male population | integer | SEL | 0% | 1 | 9782978 |
T_TL |
Total population | integer | SEL | 0% | 1 | 19828563 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2022 |
year |
year | integer | 0% | 1 | 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 577504 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 620033 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 637702 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 605608 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 678709 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 785739 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 835861 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 732919 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 686173 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 661003 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 622004 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 608970 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 542388 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 464538 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 354224 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 256314 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 375896 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 599782 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 643572 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 660773 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 626479 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 700037 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 808991 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 860590 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 750870 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 693436 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 655076 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 72 | CL02, CL15, CL03, CL11, CL08 |
region_name |
Region name | string | SEL | 0% | 72 | Región de Antofagasta, Región de Arica y Parinacota,... |
F_TL |
Female population | integer | SEL | 0% | 72 | 352724, 127901, 157536, 53523, 860371 |
M_TL |
Male population | integer | SEL | 0% | 72 | 356913, 129821, 160468, 54524, 815898 |
T_TL |
Total population | integer | SEL | 0% | 72 | 709637, 257722, 318004, 108047, 1676269 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 2 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
ADM1_ES_UNFPA |
ADM1_ES_UNFPA | string | 0% | 16 | Antofagasta, Arica y Parinacota, Atacama, Aysén del... |
F_00_04 |
Female population age 0-4 | integer | 0% | 72 | 23252, 7787, 10120, 3268, 45469 |
F_05_09 |
Female population age 5-9 | integer | 0% | 72 | 23604, 8730, 11638, 3777, 52067 |
F_10_14 |
Female population age 10-14 | integer | 0% | 72 | 24349, 9171, 12400, 4016, 55283 |
F_15_19 |
Female population age 15-19 | integer | 0% | 72 | 22761, 8309, 9746, 3241, 53742 |
F_20_24 |
Female population age 20-24 | integer | 0% | 72 | 27231, 9102, 9945, 2610, 59259 |
F_25_29 |
Female population age 25-29 | integer | 0% | 72 | 33301, 9747, 11966, 3683, 62088 |
F_30_34 |
Female population age 30-34 | integer | 0% | 72 | 33257, 10048, 13287, 5044, 65100 |
F_35_39 |
Female population age 35-39 | integer | 0% | 72 | 28637, 9333, 11508, 4403, 57309 |
F_40_44 |
Female population age 40-44 | integer | 0% | 72 | 26030, 8539, 10245, 4031, 58121 |
F_45_49 |
Female population age 45-49 | integer | 0% | 71 | 24351, 8112, 9496, 3831, 57443 |
F_50_54 |
Female population age 50-54 | integer | 0% | 72 | 19890, 7615, 9349, 3314, 57858 |
F_55_59 |
Female population age 55-59 | integer | 0% | 72 | 17572, 7273, 9402, 3029, 56047 |
F_60_64 |
Female population age 60-64 | integer | 0% | 72 | 15235, 6503, 8388, 2695, 48921 |
F_65_69 |
Female population age 65-69 | integer | 0% | 72 | 12310, 5595, 6912, 2307, 42548 |
F_70_74 |
Female population age 70-74 | integer | 0% | 71 | 8402, 4418, 4911, 1581, 32003 |
F_75_79 |
Female population age 75-79 | integer | 0% | 72 | 5249, 3304, 3428, 1026, 23634 |
F_80Plus |
F_80Plus | integer | 0% | 72 | 7293, 4315, 4795, 1667, 33479 |
M_00_04 |
Male population age 0-4 | integer | 0% | 72 | 24352, 8100, 10523, 3383, 47175 |
M_05_09 |
Male population age 5-9 | integer | 0% | 72 | 24995, 9080, 12080, 3927, 54180 |
M_10_14 |
Male population age 10-14 | integer | 0% | 72 | 25789, 9635, 12923, 4301, 57550 |
M_15_19 |
Male population age 15-19 | integer | 0% | 72 | 24366, 9547, 10526, 3834, 55500 |
M_20_24 |
Male population age 20-24 | integer | 0% | 72 | 28147, 10981, 10684, 2820, 59594 |
M_25_29 |
Male population age 25-29 | integer | 0% | 72 | 34045, 10810, 12359, 3530, 61704 |
M_30_34 |
Male population age 30-34 | integer | 0% | 72 | 34113, 10906, 13886, 4794, 64125 |
M_35_39 |
Male population age 35-39 | integer | 0% | 72 | 29535, 9909, 12112, 4319, 53940 |
M_40_44 |
Male population age 40-44 | integer | 0% | 72 | 26851, 8828, 11020, 4192, 54651 |
| +25 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | CL02101, CL02102, CL02103, CL02104, CL02201 |
region_name |
Region name | string | SEL | 0% | 100 | Antofagasta, Mejillones, Sierra Gorda, Taltal, Calama |
F_TL |
Female population | integer | SEL | 0% | 100 | 218174, 7398, 843, 6823, 96609 |
M_TL |
Male population | integer | SEL | 0% | 100 | 219709, 8032, 941, 7060, 97966 |
T_TL |
Total population | integer | SEL | 0% | 99 | 437883, 15430, 1784, 13883, 194575 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
year |
Reference year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
ADM1_ES_UNFPA |
ADM1_ES_UNFPA | string | 0% | 7 | Antofagasta, Antofagasta, Antofagasta, Antofagasta, Antofagasta |
ADM2_ES_UNFPA |
ADM2_ES_UNFPA | string | 0% | 19 | Antofagasta, Antofagasta, Antofagasta, Antofagasta, El Loa |
ADM3_ES_UNFPA |
ADM3_ES_UNFPA | string | 0% | 100 | Antofagasta, Mejillones, Sierra Gorda, Taltal, Calama |
F_00_04 |
Female population age 0-4 | integer | 0% | 99 | 13878, 541, 63, 454, 6747 |
F_05_09 |
Female population age 5-9 | integer | 0% | 100 | 14094, 534, 64, 500, 6774 |
F_10_14 |
Female population age 10-14 | integer | 0% | 100 | 14483, 550, 57, 588, 7100 |
F_15_19 |
Female population age 15-19 | integer | 0% | 96 | 14356, 501, 50, 413, 6098 |
F_20_24 |
Female population age 20-24 | integer | 0% | 96 | 18095, 616, 73, 403, 6603 |
F_25_29 |
Female population age 25-29 | integer | 0% | 98 | 20692, 785, 78, 551, 8966 |
F_30_34 |
Female population age 30-34 | integer | 0% | 100 | 20105, 694, 91, 572, 9587 |
F_35_39 |
Female population age 35-39 | integer | 0% | 96 | 17507, 595, 81, 538, 8177 |
F_40_44 |
Female population age 40-44 | integer | 0% | 99 | 16089, 483, 70, 468, 7392 |
F_45_49 |
Female population age 45-49 | integer | 0% | 98 | 15042, 475, 59, 465, 6799 |
F_50_54 |
Female population age 50-54 | integer | 0% | 98 | 12032, 422, 38, 400, 5698 |
F_55_59 |
Female population age 55-59 | integer | 0% | 96 | 10795, 368, 36, 374, 4809 |
F_60_64 |
Female population age 60-64 | integer | 0% | 99 | 9493, 280, 31, 341, 3986 |
F_65_69 |
Female population age 65-69 | integer | 0% | 98 | 7832, 218, 22, 252, 3107 |
F_70_74 |
Female population age 70-74 | integer | 0% | 100 | 5356, 149, 13, 192, 2046 |
F_75_79 |
Female population age 75-79 | integer | 0% | 94 | 3461, 100, 5, 105, 1174 |
F_80Plus |
F_80Plus | integer | 0% | 96 | 4864, 87, 12, 207, 1546 |
M_00_04 |
Male population age 0-4 | integer | 0% | 97 | 14535, 520, 54, 490, 7129 |
M_05_09 |
Male population age 5-9 | integer | 0% | 96 | 15133, 503, 67, 531, 7019 |
M_10_14 |
Male population age 10-14 | integer | 0% | 97 | 15538, 517, 56, 557, 7396 |
M_15_19 |
Male population age 15-19 | integer | 0% | 92 | 15345, 445, 43, 416, 6767 |
M_20_24 |
Male population age 20-24 | integer | 0% | 97 | 18738, 595, 52, 416, 6980 |
M_25_29 |
Male population age 25-29 | integer | 0% | 98 | 21473, 866, 87, 585, 8974 |
M_30_34 |
Male population age 30-34 | integer | 0% | 97 | 21030, 823, 115, 580, 9410 |
| +27 more pending fields — download the CSV/Parquet to see them all. | |||||
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CL, CL, CL, CL, CL |
population_count |
Population count | float | SEL | 2% | 65 | 8153350.0, 8324802.0, 8497059.0, 8670144.0, 8842525.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 57.216, 57.309, 57.811, 58.349, 58.812 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 516.487539077836, 594.436306222113, 678.584336588862,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 89% | 7 | 91.129997253418, 94.2900009155273, 95.7200012207031,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 153.2, 148.6, 142.8, 136.1, 127.2 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 76% | 16 | 45.1, 38.6, 32.8, 27.7, 23.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Chile, Chile, Chile, Chile, Chile |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CL, CL, CL, CL, CL |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 57.216, 57.309, 57.811, 58.349, 58.812 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 15% | 40 | 34.1, 30.9, 29.5, 29.3, 28.9 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 153.2, 148.6, 142.8, 136.1, 127.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 33 | 73.0, 70.0, 67.0, 64.0, 62.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 61 | 4.697, 4.655, 4.602, 4.536, 4.457 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 35.309, 34.792, 34.284, 33.704, 33.056 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 10.968, 10.913, 10.64, 10.363, 10.128 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 55% | 29 | 0.559, 0.473, 0.463, 0.516, 0.817 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 53% | 28 | 3.6742901802063, 3.77640008926392, 3.40639996528625,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 10 | 93.0, 99.0, 99.0, 89.0, 99.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 62% | 25 | 7.00020742, 7.09733105, 7.20833778, 7.25047779, 6.91028595 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Chile, Chile, Chile, Chile, Chile |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Republic of Chile |
admin_code |
Admin code | string | SEL | 0% | 1 | 41092099B20826146210768 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 736592.7811 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 18407372 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 24.99 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL, CHL, CHL, CHL, CHL |
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% | 16 | Región Metropolitana de Santiago, Región de Valparaíso,... |
admin_code |
Admin code | string | SEL | 0% | 16 | 47653553B78904739401519, 47653553B5611469222723,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 16 | 15393.7119, 16238.3715, 23990.6264, 30307.895, 31797.5597 |
pop_2024 |
Population count | integer | SEL | 0% | 16 | 7823143, 1856216, 1560177, 1084144, 963730 |
pop_density_2024 |
Population density | float | SEL | 0% | 16 | 508.2, 114.31, 65.03, 35.77, 30.31 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL, CHL, CHL, CHL, CHL |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 38 | Santiago, Valparaíso, Concepción, Antofagasta, Iquique |
admin_code |
Admin code | integer | SEL | 0% | 38 | 2334, 1162, 1668, 373, 210 |
area_sqkm |
Area sqkm | float | SEL | 0% | 38 | 798.8828, 151.5843, 101.8049, 55.7445, 50.7397 |
pop_2024 |
Population count | integer | SEL | 0% | 38 | 6641766, 812554, 449643, 383077, 329297 |
pop_density_2024 |
Population density | float | SEL | 0% | 38 | 8313.82, 5360.41, 4416.71, 6872.01, 6489.93 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 38 | 6633767, 838446, 508455, 365402, 316450 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 38 | 1.001, 0.969, 0.884, 1.048, 1.041 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 38 | Santiago, Valparaíso, Concepción, Antofagasta, Temuco |
country_code |
Country code | string | SEL | 0% | 1 | CHL, CHL, CHL, CHL, CHL |
population |
Population count | integer | SEL | 0% | 38 | 6633767, 838446, 508455, 365402, 355236 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 38 | 2334, 1162, 1668, 373, 3052 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Chile, Chile, Chile, Chile, Chile |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 18 | alac1239, cent2142, chil1264, chil1283, chon1248 |
name |
Name | string | CCL | 0% | 18 | Alacalufe-Austral, Central Aymara, Chilean Sign... |
iso639_3 |
Iso639 3 | string | CCL | 28% | 13 | ayr, csg, cqu, huh, kbf |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 17% | 10 | kawe1237, ayma1253, sign1238, book1242, uncl1493 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 17% | 12 | kawe1237, nucl1667, deaf1237, book1242, uncl1493 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 5 | ['CL'], ['AR', 'BO', 'CL', 'PE'], ['CL'], ['CL'], ['CL'] |
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, 0, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 6% | 17 | -54.788017, -17.0, -32.781, -23.7036, -44.298692 |
longitude |
longitude | float | 6% | 17 | -70.140381, -68.5, -70.6698, -67.7604, -73.879395 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CL, CL, CL, CL, CL |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | CHL, CHL, CHL, CHL, CHL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 16 | -18.75, -25.45, -27.01, -16.27, -12.07 |
grocery |
grocery | float | 0% | 16 | -1.81, -6.89, 1.52, 5.72, -1.79 |
parks |
parks | float | 0% | 16 | -34.11, -28.96, -43.45, -17.75, -39.57 |
transit |
transit | float | 0% | 16 | -17.15, -11.43, -29.06, -20.46, -20.96 |
workplaces |
workplaces | float | 0% | 16 | 1.46, 3.05, -3.45, 8.38, 4.3 |
residential |
residential | float | 0% | 15 | 8.58, 15.27, 10.55, 9.54, 4.92 |
region |
region | string | 0% | 16 | Antofagasta, Araucania, Arica y Parinacota, Atacama, Aysén |
observation_count |
observation_count | integer | 0% | 14 | 3871, 2922, 1948, 3865, 4708 |
| 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 | 8.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 133.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .cl |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 95.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 23.0 |
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 1.74 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1.74 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 8 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 26.2 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 26.2 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 133 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | national and local terrestrial TV channels, coupled with... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 250.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 95% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 4.52 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 4.52 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 23 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ci.json |
| 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 | 30200.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 330.267 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 6.5 |
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | export-driven economy; leading copper producer; though... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $596.556 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 | 596.556 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $581.187 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 | 581.187 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $578.173 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 | 578.173 |
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 | 2.6% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 2.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 0.5% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 0.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 2.2% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 2.2 |
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 | $30,200 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $29,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 29600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $29,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 29600.0 |
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 | $330.267 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 4.3% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 4.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 7.6% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 7.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 11.6% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 11.6 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +119 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 39.238 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 39.238 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 83.295 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 83.295 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 4.384 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 4.384 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 35.6% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 35.6 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 20.6% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 20.6 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 10.8% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 10.8 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 26.6% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 26.6 |
electricity_generation_sources_geothermal_text |
electricity_generation_sources_geothermal_text | string | 0% | 1 | 0.5% of total installed capacity (2023 est.) |
electricity_generation_sources_geothermal_numeric |
electricity_generation_sources_geothermal_numeric | float | 0% | 1 | 0.5 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 5.9% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 5.9 |
coal_production_text |
coal_production_text | string | 0% | 1 | 474,000 metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 474000.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 8.087 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 8.087 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 63,000 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 63000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 7.589 million metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 7.589 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 1.181 billion metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 1.181 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 11,000 bbl/day (2023 est.) |
| +19 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 14.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 24.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 88.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.78 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 6.517 |
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | air pollution from industrial and vehicle emissions;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Antarctic-Environmental Protection, Antarctic-Marine... |
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 | temperate; desert in north; Mediterranean in central... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 14.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 1.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 11.8% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 11.8 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 24.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 61.1% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 61.1 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 88% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.78% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 83.058 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 83.058 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 14.773 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 | 14.773 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 55.504 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 | 55.504 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 12.781 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 | 12.781 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 18.8 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 18.8 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 6.517 million tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 1% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 1.0 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 1.29 billion cubic meters (2022 est.) |
| +13 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Chilean(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Chilean |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | White and non-Indigenous 88.9%, Mapuche 9.1%, Aymara... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 88.9 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ci.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 756102.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 743812.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 12290.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 7801.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 6435.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 6893.0 |
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 | 14.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 24.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 9094.0 |
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern South America, bordering the South Pacific... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 30 00 S, 71 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 30.0 |
map_references_text |
map_references_text | string | 0% | 1 | South America |
area_total_text |
area_total_text | string | 0% | 1 | 756,102 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 743,812 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 12,290 sq km |
area_note |
area_note | string | 0% | 1 | note: includes Easter Island (Isla de Pascua) and Isla... |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than twice the size of Montana |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 7,801 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Argentina 6,691 km; Bolivia 942 km; Peru 168 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 6691.0 |
coastline_text |
coastline_text | string | 0% | 1 | 6,435 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
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 | 200/350 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | temperate; desert in north; Mediterranean in central... |
terrain_text |
terrain_text | string | 0% | 1 | low coastal mountains, fertile central valley, rugged... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Nevado Ojos del Salado 6,893 m (highest volcano in the world) |
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 | 1,871 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1871.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | copper, timber, iron ore, nitrates, precious metals,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 14.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.9% (2023 est.) |
| +19 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Republic of Chile |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Chile |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | República de Chile |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Chile |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | derivation of the name is unclear; it may come from a... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Santiago; note - Valparaiso is the seat of the national... |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 33 27 S, 70 40 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 33.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC-3 (2 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | -3.0 |
capital_daylight_saving_time_text |
capital_daylight_saving_time_text | string | 0% | 1 | +1hr, begins second Sunday in August; ends second Sunday... |
capital_daylight_saving_time_numeric |
capital_daylight_saving_time_numeric | float | 0% | 1 | 1.0 |
capital_time_zone_note_text |
capital_time_zone_note_text | string | 0% | 1 | Chile has three time zones: the continental portion at... |
capital_time_zone_note_numeric |
capital_time_zone_note_numeric | float | 0% | 1 | -3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | Santiago is named after Saint James, the patron saint of... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 16 regions (regiones, singular - region); Antofagasta,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 16.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system influenced by several Western European... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | many previous; latest adopted 11 September 1980,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 11.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by members of either house of the National... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
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 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
| +93 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Indigenous groups inhabited central and southern Chile... |
background_numeric |
background_numeric | float | 0% | 1 | 16.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ci.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Spanish 99.5% (official), English 10.2%, Indigenous 1%... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 99.5 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | La Libreta Informativa del Mundo, la fuente... |
languages_note |
languages_note | string | 0% | 1 | note: shares sum to more than 100% because some... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ci.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 15,788 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 15788.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 8,323 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 8323.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 1,688 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 1688.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ci.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Armed Forces of Chile (Fuerzas Armadas de Chile):... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.5% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.6% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.6 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 70,000 active Armed Forces (40,000 Army;... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 70000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Chilean military's inventory is comprised of a mix... |
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 | 18-24 for voluntary military service for men and women... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Chilean military's responsibilities are territorial... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1810.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ci.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 19091343.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 9379883.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 9711460.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 19.2 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 67.3 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 13.6 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 45.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 24.1 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 20.9 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 38.9 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.46 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 8.81 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.79 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 2.58 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 88.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.78 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.04 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.97 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 10.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 4.5 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 80.3 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.25 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.61 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 3.33 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.0 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 96.4 |
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 19,091,343 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 9,379,883 |
population_female_text |
population_female_text | string | 0% | 1 | 9,711,460 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 19.2% (male 1,822,908/female 1,751,528) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 67.3% (male 6,274,620/female 6,278,467) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 13.6% (2024 est.) (male 1,072,208/female 1,464,921) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 45 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 24.1 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 20.9 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 4.8 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 4.8 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 38.9 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 35.8 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 35.8 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 38.2 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 38.2 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.46% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 8.81 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.79 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 2.58 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | 90% of the population is located in the middle third of... |
population_distribution_numeric |
population_distribution_numeric | float | 0% | 1 | 90.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 88% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.78% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 6.903 million SANTIAGO (capital), 1.009 million... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 6.903 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.04 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1 male(s)/female |
| +84 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_ethnicity_primary_label_synth |
White and non-Indigenous | string | CCL | 0% | - | White and non-Indigenous |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Catholic 57%, none 25.7%, Evangelical or Protestant... |
religions_numeric |
religions_numeric | float | 0% | 1 | 57.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ci.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_catholic_pct_synth |
Catholic | numeric | 0% | - | 57.0 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 25.7 |
composition_religion_evangelical_or_protestant_pct_synth |
Evangelical or Protestant | numeric | 0% | - | 16.2 |
composition_religion_other_christians_and_traditions_related_to_christ_1_3_buddhist_pct_synth |
other Christians and traditions related to Christ 1.3%; : Buddhist | numeric | 0% | - | 0.5 |
composition_religion_catholic_orthodox_pct_synth |
Catholic Orthodox | numeric | 0% | - | - |
composition_religion_church_of_jesus_christ_of_latter_day_saints_pct_synth |
Church of Jesus Christ of Latter-Day Saints | numeric | 0% | - | - |
composition_religion_islam_pct_synth |
Islam | numeric | 0% | - | - |
composition_religion_judaism_pct_synth |
Judaism | numeric | 0% | - | - |
composition_religion_other_religions_pct_synth |
other religions | numeric | 0% | - | - |
composition_religion_no_religion_pct_synth |
no religion | numeric | 0% | - | - |
composition_ethnicity_white_and_non_indigenous_pct_synth |
White and non-Indigenous | numeric | 0% | - | 88.9 |
composition_ethnicity_mapuche_pct_synth |
Mapuche | numeric | 0% | - | 9.1 |
composition_ethnicity_aymara_pct_synth |
Aymara | numeric | 0% | - | 0.7 |
composition_ethnicity_other_indigenous_groups_pct_synth |
other Indigenous groups | numeric | 0% | - | 1.0 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.3 |
composition_ethnicity_primary_share_pct_synth |
White and non-Indigenous | numeric | 0% | - | 88.9 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Tren de Aragua (TdA) |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ci.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | CC |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 379.0 |
country_code |
Country code | string | SEL | 0% | 1 | CHL |
country_name |
Country name | string | SEL | 0% | 1 | Chile |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 379 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 115 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 115.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 7,281.5 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 7281.5 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 3,853.5 km (2014) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 3853.5 |
railways_broad_gauge_text |
railways_broad_gauge_text | string | 0% | 1 | 3,428 km (2014) 1.676-m gauge (1,691 km electrified) |
railways_broad_gauge_numeric |
railways_broad_gauge_numeric | float | 0% | 1 | 3428.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 249 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 249.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 3, container ship 5, general cargo 66, oil... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 3.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 39 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 39.0 |
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 | 2 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 2.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 10 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 10.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 27 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 27.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 25 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 25.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Antofagasta, Bahia de Valdivia, Bahia de Valparaiso,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ci.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL, CHL, CHL, CHL |
society_id |
Society id | string | CCL | 0% | 4 | Sg1, Sg3, Sg5, Ij9 |
society_name |
Society name | string | CCL | 0% | 4 | Yahgan, Ona, Alacaluf, Easter Islanders |
language_glottocode |
Language glottocode | string | CCL | 0% | 4 | yama1264, onaa1245, qawa1238, rapa1244 |
language_name |
Language name | string | CCL | 0% | 1 | , , , |
kinship_system |
Kinship system | string | CCL | 0% | 3 | EA001:1; EA002:2; EA003:7; EA004:0; EA005:0, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 4 | EA006:2; EA007:3; EA008:2; EA009:2; EA010:10, EA006:6;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 3 | EA028:1; EA029:1; EA030:1; EA031:1; EA032:2, EA028:1;... |
political_complexity |
Political complexity | string | CCL | 0% | 4 | EA033:1; EA034:4; EA035:2, EA033:1; EA034:2; EA035:2,... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:4; EA112:1, EA034:2; EA112:7, EA034:1; EA112:8,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 4 | EA011:1; EA012:10; EA013:9, EA011:1; EA012:10; EA013:2,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Chile, Chile, Chile, Chile |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , |
latitude |
latitude | float | 0% | 4 | -55.02, -54.0, -52.0, -27.12 |
longitude |
longitude | float | 0% | 4 | -68.98, -69.0, -74.0, -109.36 |
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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL, CHL, CHL |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 3 | Whites/mestizos, Mapuche, Other indigenous groups |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | MONOPOLY, DISCRIMINATED, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.872, 0.099, 0.029 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 3 | 15501000, 15502000, 15503000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CHL, CHL |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | spa, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | Spanish, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 26351, 49 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 99.8144, 0.1856 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CHL |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Chile |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9806 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 56650 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 45306 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 56639 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 11 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 2245 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 2089 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 19865 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 15895 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 16014 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 12147 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 9445 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 7869 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 34 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 26 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 8129 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 6826 |
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_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 900 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 437 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CHL |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| Spanish (spa) | 26,351 | 99.8% | — |
| English (eng) | 49 | 0.2% | — |
45,306 distinct features ·
2 languages ·
0 scripts ·
11 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.