ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| 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_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 |
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 | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | ECU |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 75 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 5.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 7 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 19 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 8 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 7.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 51 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 5.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 4 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 2 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 8.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 7 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 8 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 7.4 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 6.5 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 9 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.73 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | integer | 0% | 1 | 6 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 3 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 7.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | float | 0% | 1 | 5.5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 4 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 7.07 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 6.25 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 23 |
| +74 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 | 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. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| 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.