| 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 | ECU, ECU, ECU, ECU, ECU |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 4 | Total, Coste, Oriente, Sierra, Total |
human_development_index |
Human development index | float | SEL | 0% | 77 | 0.68, 0.674, 0.659, 0.695, 0.682 |
health_index |
Health index | float | SEL | 0% | 22 | 0.745, 0.745, 0.745, 0.745, 0.754 |
education_index |
Education index | float | SEL | 0% | 80 | 0.634, 0.63, 0.61, 0.647, 0.625 |
income_index |
Income index | float | SEL | 0% | 73 | 0.666, 0.653, 0.628, 0.697, 0.672 |
life_expectancy |
Life expectancy | float | SEL | 0% | 25 | 68.45, 68.45, 68.45, 68.45, 69.04 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 93 | 9.503, 9.453, 9.157, 9.7, 9.369 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 25 | 1990, 1990, 1990, 1990, 1991 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, national |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | EC, EC, EC, EC, EC |
population_count |
Population count | float | SEL | 2% | 65 | 4590891.0, 4722331.0, 4859269.0, 5001716.0, 5149918.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 53.396, 54.052, 54.681, 55.322, 55.95 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 450.776317102259, 371.395176462235, 312.43541024174,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 74% | 17 | 83.5500030517578, 88.3000030517578, 90.9800033569336,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 176.3, 171.0, 165.8, 160.9, 156.5 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 64% | 24 | 64.4, 54.9, 49.9, 44.6, 42.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Ecuador, Ecuador, Ecuador, Ecuador, Ecuador |
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 | EC, EC, EC, EC, EC |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 53.396, 54.052, 54.681, 55.322, 55.95 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 60 | 59.7, 58.9, 58.2, 57.5, 56.5 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 176.3, 171.0, 165.8, 160.9, 156.5 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 34 | 188.0, 181.0, 131.0, 166.0, 166.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.721, 6.7, 6.676, 6.646, 6.61 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 43.709, 43.545, 43.39, 43.229, 43.059 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 15.312, 14.836, 14.385, 13.933, 13.493 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 46% | 36 | 0.396, 0.335, 0.348, 0.351, 0.637 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 53% | 23 | 1.87069153785706, 2.34910011291504, 2.54629993438721,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 28 | 10.0, 26.0, 35.0, 31.0, 48.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.57367969, 4.06365538, 4.81404829, 5.79232407, 5.88152218 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Ecuador, Ecuador, Ecuador, Ecuador, Ecuador |
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 | ECU |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Ecuador |
admin_code |
Admin code | string | SEL | 0% | 1 | 53374128B68922616126738 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 255943.4816 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 17819047 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 69.62 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU, ECU, ECU, ECU, ECU |
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% | 24 | Guayas, Pichincha, Manabi, Los Ríos, Azuay |
admin_code |
Admin code | string | SEL | 0% | 24 | 780006B56468316684184, 780006B44300629339188,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 24 | 15651.6874, 9633.0329, 19367.0726, 7207.7181, 8030.9988 |
pop_2024 |
Population count | integer | SEL | 0% | 24 | 4215105, 3371619, 1628979, 964058, 916011 |
pop_density_2024 |
Population density | float | SEL | 0% | 24 | 269.31, 350.01, 84.11, 133.75, 114.06 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU, ECU, ECU, ECU, ECU |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 34 | Guayaquil, Quito, Cuenca, Santo Domingo de los Tsachilas, Manta |
admin_code |
Admin code | integer | SEL | 0% | 34 | 792, 2544, 2249, 2090, 202 |
area_sqkm |
Area sqkm | float | SEL | 0% | 33 | 311.9102, 377.4526, 88.4074, 55.6253, 60.5915 |
pop_2024 |
Population count | integer | SEL | 0% | 34 | 3026142, 2528720, 460453, 319414, 275126 |
pop_density_2024 |
Population density | float | SEL | 0% | 34 | 9701.97, 6699.44, 5208.31, 5742.24, 4540.67 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 34 | 3247674, 2605678, 506177, 357692, 284614 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 34 | 0.932, 0.97, 0.91, 0.893, 0.967 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 34 | Guayaquil, Quito, Cuenca, Santo Domingo de los Tsachilas, Manta |
country_code |
Country code | string | SEL | 0% | 1 | ECU, ECU, ECU, ECU, ECU |
population |
Population count | integer | SEL | 0% | 34 | 3247674, 2605678, 506177, 357692, 284614 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 34 | 792, 2544, 2249, 2090, 202 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Ecuador, Ecuador, Ecuador, Ecuador, Ecuador |
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% | 30 | achu1248, atac1235, awac1239, cald1236, cana1260 |
name |
Name | string | CCL | 0% | 30 | Achuar-Shiwiar, Atacame, Awa-Cuaiquer, Calderón Highland... |
iso639_3 |
Iso639 3 | string | CCL | 20% | 24 | acu, kwi, qud, qxr, cbi |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 10% | 11 | jiva1245, barb1265, quec1387, barb1265, quec1387 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 10% | 19 | shua1256, awas1234, ecua1248, unun9945, ecua1249 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 6 | ['EC', 'PE'], ['EC'], ['CO', 'EC'], ['EC'], ['EC'] |
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% | 6 | 2, 0, 0, 2, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 13% | 26 | -2.82646, 0.834931, 1.21652, -0.36205, -2.47517 |
longitude |
longitude | float | 13% | 26 | -77.2641, -79.778137, -78.3401, -78.2587, -78.979054 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 25 | EC01, EC02, EC03, EC04, EC05 |
region_name |
Region name | string | SEL | 0% | 25 | AZUAY, BOLIVAR, CAÑAR, CARCHI, COTOPAXI |
F_TL |
Female population | integer | SEL | 0% | 25 | 459159, 107504, 147041, 94102, 251010 |
M_TL |
Male population | integer | SEL | 0% | 25 | 422235, 102429, 134355, 92767, 237706 |
T_TL |
Total population | integer | SEL | 0% | 25 | 881394, 209933, 281396, 186869, 488716 |
| 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 | 2020, 2020, 2020, 2020, 2020 |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Ecuador, Ecuador, Ecuador, Ecuador, Ecuador |
F_00_00 |
Female population age 0-0 | integer | 0% | 25 | 7900, 2093, 2707, 1577, 5035 |
F_01_04 |
Female population age 1-4 | integer | 0% | 25 | 31725, 8997, 11228, 6427, 20234 |
F_05_09 |
Female population age 5-9 | integer | 0% | 25 | 40208, 11969, 14389, 8320, 25587 |
F_10_14 |
Female population age 10-14 | integer | 0% | 25 | 38929, 11666, 14125, 8603, 25483 |
F_15_19 |
Female population age 15-19 | integer | 0% | 25 | 39010, 10279, 13389, 8291, 23575 |
F_20_24 |
Female population age 20-24 | integer | 0% | 25 | 39482, 8613, 12855, 7472, 21130 |
F_25_29 |
Female population age 25-29 | integer | 0% | 25 | 38884, 7266, 12171, 6813, 19013 |
F_30_34 |
Female population age 30-34 | integer | 0% | 25 | 36273, 6554, 10967, 6591, 17497 |
F_35_39 |
Female population age 35-39 | integer | 0% | 25 | 32571, 6128, 9455, 6400, 16187 |
F_40_44 |
Female population age 40-44 | integer | 0% | 25 | 28512, 5693, 8074, 6056, 14590 |
F_45_49 |
Female population age 45-49 | integer | 0% | 25 | 24824, 5200, 7043, 5620, 12687 |
F_50_54 |
Female population age 50-54 | integer | 0% | 25 | 21962, 4722, 6272, 5033, 10894 |
F_55_59 |
Female population age 55-59 | integer | 0% | 25 | 19339, 4208, 5590, 4249, 9422 |
F_60_64 |
Female population age 60-64 | integer | 0% | 25 | 16429, 3660, 4846, 3461, 8066 |
F_65_69 |
Female population age 65-69 | integer | 0% | 25 | 13479, 3164, 4134, 2857, 6792 |
F_70_74 |
Female population age 70-74 | integer | 0% | 25 | 10873, 2739, 3515, 2386, 5632 |
F_75_79 |
Female population age 75-79 | integer | 0% | 25 | 8351, 2173, 2818, 1850, 4398 |
F_80Plus |
F_80Plus | integer | 0% | 25 | 10408, 2380, 3463, 2096, 4788 |
M_00_00 |
Male population age 0-0 | integer | 0% | 25 | 7900, 2199, 2844, 1659, 5269 |
M_01_04 |
Male population age 1-4 | integer | 0% | 25 | 31721, 9428, 11804, 6765, 21124 |
M_05_09 |
Male population age 5-9 | integer | 0% | 25 | 40312, 12483, 15096, 8724, 26587 |
M_10_14 |
Male population age 10-14 | integer | 0% | 25 | 40326, 12134, 14611, 8971, 26131 |
M_15_19 |
Male population age 15-19 | integer | 0% | 25 | 40061, 10644, 13713, 8750, 24130 |
M_20_24 |
Male population age 20-24 | integer | 0% | 25 | 40552, 8720, 12936, 7924, 21530 |
M_25_29 |
Male population age 25-29 | integer | 0% | 25 | 39627, 6932, 11878, 7092, 18813 |
M_30_34 |
Male population age 30-34 | integer | 0% | 25 | 35590, 5819, 10055, 6644, 16354 |
M_35_39 |
Male population age 35-39 | integer | 0% | 25 | 29775, 5077, 7860, 6188, 14201 |
| +27 more pending 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 | EC, EC, EC, EC, EC |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | ECU, ECU, ECU, ECU, ECU |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 24 | 0.13, 0.35, 13.48, 9.16, 0.34 |
grocery |
grocery | float | 0% | 22 | 7.58, -0.69, 13.54, 4.76, 11.21 |
parks |
parks | float | 0% | 24 | -6.4, 4.45, 9.65, 12.0, -13.9 |
transit |
transit | float | 0% | 24 | -9.4, 0.0, -3.47, -1.24, 2.9 |
workplaces |
workplaces | float | 0% | 24 | -12.85, -22.06, -9.69, -10.52, -5.45 |
residential |
residential | float | 0% | 23 | 3.56, 4.82, 4.74, 2.38, 7.06 |
region |
region | string | 0% | 24 | Azuay, Bolivar, Carchi, Cañar, Chimborazo |
observation_count |
observation_count | integer | 0% | 24 | 5873, 2649, 3367, 4650, 3659 |
| 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 | 7.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 102.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .ec |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 77.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 16.0 |
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 | 1.22 million (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1.22 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 7 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 18.4 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 18.4 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 102 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 956 media outlets, of which 89% are private, 5% are... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 956.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 77% (2024 est.) |
internet_users_note |
internet_users_note | string | 0% | 1 | according to 2021 statistics from Ecuador's Ministry of... |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 2.89 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 2.89 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 16 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ec.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 | 13900.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 124.676 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 26.0 |
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 | highly informal South American economy; USD currency... |
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 | $252.728 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 | 252.728 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $257.889 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 | 257.889 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $252.861 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 | 252.861 |
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% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | -2.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 2% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 2.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.9% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.9 |
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 | $13,900 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $14,300 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 14300.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $14,200 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 14200.0 |
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 | $124.676 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 1.5% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 1.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 2.2% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 2.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 3.5% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 3.5 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +113 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 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 | 8.438 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 8.438 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 29.305 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 29.305 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 192 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 192.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 466 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 466.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 5.119 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 5.119 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 23.2% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 23.2 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.1% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.1 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 0.2 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 75.4% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 75.4 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 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 | 1.1 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 14,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 14000.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 200 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 200.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 14,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 14000.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 24 million metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 24.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 480,000 bbl/day (2023 est.) |
| +15 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 | 21.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 49.8 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 64.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.62 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 5.297 |
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 | deforestation; soil erosion; desertification; water... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Antarctic-Environmental Protection, Antarctic Treaty,... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | tropical along coast, becoming cooler inland at higher... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 21.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 4.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 4.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 5.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 5.6 |
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 | 49.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 28.6% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 28.6 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 64.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.62% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 38.286 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 38.286 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 39,000 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 | 39000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 37.711 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 | 37.711 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 536,000 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 | 536000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 17.3 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 17.3 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 454.3 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 454.3 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 346.3 kt (2019-2021 est.) |
| +22 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 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 | Ecuadorian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Ecuadorian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Mestizo (mixed Indigenous and White) 77.5%, Montubio... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 77.5 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ec.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 283561.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 276841.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 6720.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2237.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 2237.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 6267.0 |
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 | 21.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 49.8 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 12520.0 |
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Western South America, bordering the Pacific Ocean at... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 2 00 S, 77 30 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 2.0 |
map_references_text |
map_references_text | string | 0% | 1 | South America |
area_total_text |
area_total_text | string | 0% | 1 | 283,561 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 276,841 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 6,720 sq km |
area_note |
area_note | string | 0% | 1 | note: includes Galapagos Islands |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Nevada |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,237 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Colombia 708 km; Peru 1529 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 708.0 |
coastline_text |
coastline_text | string | 0% | 1 | 2,237 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_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 |
maritime_claims_note |
maritime_claims_note | string | 0% | 1 | note: Ecuador has declared its right to extend its... |
climate_text |
climate_text | string | 0% | 1 | tropical along coast, becoming cooler inland at higher... |
terrain_text |
terrain_text | string | 0% | 1 | coastal plain (costa), inter-Andean central highlands... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Chimborazo 6,267 |
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 | 1,117 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1117.0 |
elevation_note |
elevation_note | string | 0% | 1 | note: because the earth is not a perfect sphere and has... |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, fish, timber, hydropower |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 21.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 4.1% (2023 est.) |
| +17 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 | ECU |
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 Ecuador |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Ecuador |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | República del Ecuador |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Ecuador |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Quito |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name is the Spanish word for "equator," referring to... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Quito |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 0 13 S, 78 30 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 0.0 |
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_time_zone_note_text |
capital_time_zone_note_text | string | 0% | 1 | Ecuador has two time zones, including the Galapagos... |
capital_time_zone_note_numeric |
capital_time_zone_note_numeric | float | 0% | 1 | -6.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | named after the Quitu, a Pre-Columbian people who lived... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 24 provinces (provincias, singular - provincia); Azuay,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 24.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law based on the Chilean civil code with... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | many previous; latest approved 20 October 2008 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 20.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic through a... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 1.0 |
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 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 3 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 3.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18-65 years of age; universal and compulsory; voluntary... |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
| +77 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 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | What is now Ecuador formed part of the northern Inca... |
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/ec.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 (Castilian; official) 98.6%, indigenous 3.9%... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 98.6 |
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 1: 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/ec.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 | 30,241 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 30241.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 57,402 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 57402.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ec.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 | Ecuadorian Armed Forces (Fuerzas Armadas del Ecuador):... |
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 | 2.2% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.2 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2.3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.3 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.2% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.2 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.4% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.4 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.3 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 40,000 active Ecuadorian Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 40000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military's inventory includes a mix of mostly older... |
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 | 18-22 years of age for voluntary military service for... |
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 military is responsible for preserving Ecuador’s... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1990.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ec.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 18479841.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 9097614.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 9382227.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 26.8 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 64.1 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 9.1 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 55.3 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 41.0 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 14.3 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 28.2 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.91 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 17.42 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 7.12 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -1.23 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 64.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.62 |
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 | 0.97 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 55.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 11.2 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 74.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.17 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.06 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 2.31 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.3 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 96.3 |
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 | 18,479,841 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 9,097,614 |
population_female_text |
population_female_text | string | 0% | 1 | 9,382,227 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 26.8% (male 2,505,729/female 2,395,198) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 64.1% (male 5,771,234/female 5,972,938) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 9.1% (2024 est.) (male 746,207/female 918,678) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 55.3 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 41 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 14.3 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 7 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 7.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 28.2 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 27 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 27.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 28.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 28.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.91% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 17.42 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 7.12 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -1.23 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | nearly half of the population is concentrated in the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 64.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.62% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.142 million Guayaquil, 1.957 million QUITO (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.142 |
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 | 1.05 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.05 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.97 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.97 |
| +89 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 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 2.3 |
composition_ethnicity_primary_label_synth |
Mestizo (mixed Indigenous and White) | string | CCL | 0% | - | Mestizo (mixed Indigenous and White) |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 68.2%, Protestant 19% (Evangelical 18.3%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 68.2 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ec.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 68.2 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 19.0 |
composition_religion_protestant__evangelical_pct_synth |
Evangelical | numeric | 0% | - | 18.3 |
composition_religion_protestant__adventist_pct_synth |
Adventist | numeric | 0% | - | 0.6 |
composition_religion_protestant__other_protestant_pct_synth |
other Protestant | numeric | 0% | - | 0.2 |
composition_religion_jehovah_s_witness_pct_synth |
Jehovah's Witness | numeric | 0% | - | 1.4 |
composition_religion_none_don_t_know_no_response_1_pct_synth |
none don't know/no response 1% | numeric | 0% | - | 8.2 |
composition_ethnicity_mestizo_mixed_indigenous_and_white_pct_synth |
Mestizo (mixed Indigenous and White) | numeric | 0% | - | 77.5 |
composition_ethnicity_montubio_pct_synth |
Montubio | numeric | 0% | - | 7.7 |
composition_ethnicity_indigenous_pct_synth |
Indigenous | numeric | 0% | - | 7.7 |
composition_ethnicity_white_pct_synth |
White | numeric | 0% | - | 2.2 |
composition_ethnicity_afroecuadorian_pct_synth |
Afroecuadorian | numeric | 0% | - | 2.0 |
composition_ethnicity_mulatto_pct_synth |
Mulatto | numeric | 0% | - | 1.4 |
composition_ethnicity_black_pct_synth |
Black | numeric | 0% | - | 1.3 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.1 |
composition_ethnicity_primary_share_pct_synth |
Mestizo (mixed Indigenous and White) | numeric | 0% | - | 77.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Ecuadorian Civilian Space Agency (EXA; a civilian... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2007.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a small program focused on acquiring and... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 2007 - an Ecuadorian completed a suborbital astronaut... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2007.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ec.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
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 | Los Choneros; Los Lobos |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ec.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| 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/ec.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 | HC |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 317.0 |
country_code |
Country code | string | SEL | 0% | 1 | ECU |
country_name |
Country name | string | SEL | 0% | 1 | Ecuador |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 317 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 28 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 28.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 965 km (2022) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 965.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 965 km (2022) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 965.0 |
railways_note |
railways_note | string | 0% | 1 | note: passenger service limited to certain sections of... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 154 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 154.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | container ship 1, general cargo 8, oil tanker 28, other 117 |
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 | 6 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 6.0 |
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 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 4 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 4.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 5 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 5.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Esmeraldas, Guayaquil, La Libertad, Manta, Puerto... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ec.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 6 | 29.7, 26.6, 31.6, 23.0, 20.9 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 6 | 59.0, 74.0, 51.0, 46.0, 48.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 6 | 81.0, 97.0, 64.0, 55.0, 56.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Ecuador, Ecuador, Ecuador, Ecuador, Ecuador |
survey_year |
survey_year | integer | 0% | 1 | 1987, 1987, 1987, 1987, 1987 |
region |
region | string | 0% | 6 | Costa Resto Urbano, Costa Rural, Guayaquil, Quito,... |
survey_id |
survey_id | string | 0% | 1 | EC1987DHS, EC1987DHS, EC1987DHS, EC1987DHS, EC1987DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU, ECU, ECU, ECU |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 4 | Whites/mestizos, Indigenous highland peoples (Kichwa),... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | DOMINANT, POWERLESS, POWERLESS, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 4 | 0.81, 0.12, 0.05, 0.02 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 4 | 13002000, 13003000, 13005000, 13004000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 3 | , true, false, true |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 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 | ECU, ECU, ECU |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | spa, eng, por |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | Spanish, English, Portuguese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 12103, 434, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 96.5305, 3.4615, 0.008 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | ECU |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Ecuador |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9826 |
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 | 28722 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 21261 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 28717 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 5 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 15209 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 11394 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 2122 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1555 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 5921 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 4627 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 3109 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 1501 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 1117 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1049 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 1237 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 1128 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 4 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 4 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 3 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | ECU, ECU, ECU |
society_id |
Society id | string | CCL | 0% | 3 | Se10, Se3, Sf3 |
society_name |
Society name | string | CCL | 0% | 3 | Cocama, Shuar, Chachi |
language_glottocode |
Language glottocode | string | CCL | 0% | 3 | coca1259, shua1257, chac1249 |
language_name |
Language name | string | CCL | 0% | 1 | , , |
kinship_system |
Kinship system | string | CCL | 0% | 3 | EA001:0; EA002:1; EA003:5; EA004:0; EA005:4, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 3 | EA006:2; EA007:8; EA008:8; EA009:2; EA010:9, EA006:2;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 3 | EA028:3; EA029:5; EA030:7; EA031:5; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 2 | EA033:1; EA034:2; EA035:NA, EA033:1; EA034:1; EA035:1,... |
religion_importance |
Religion importance | string | CCL | 0% | 3 | EA034:2; EA112:5, EA034:1; EA112:4, EA034:1; EA112:8 |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:1; EA012:10; EA013:9, EA011:2; EA012:6; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Ecuador, Ecuador, Ecuador |
dataset |
dataset | string | 0% | 1 | EA, EA, EA |
region |
region | string | 0% | 1 | , , |
latitude |
latitude | float | 0% | 2 | 1.0, -3.0, 1.0 |
longitude |
longitude | float | 0% | 2 | -79.0, -78.0, -79.0 |
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 |
| 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 | ECU |
| 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) | 12,103 | 96.5% | — |
| English (eng) | 434 | 3.5% | — |
21,261 distinct features ·
3 languages ·
0 scripts ·
5 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.