| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | URY, URY, URY, URY, URY |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 8 | Total, Centro (Durazno and Tacuarembo), Centro Sur... |
human_development_index |
Human development index | float | SEL | 0% | 66 | 0.758, 0.718, 0.754, 0.757, 0.72 |
health_index |
Health index | float | SEL | 0% | 9 | 0.815, 0.815, 0.815, 0.815, 0.815 |
education_index |
Education index | float | SEL | 0% | 78 | 0.72, 0.626, 0.712, 0.716, 0.632 |
income_index |
Income index | float | SEL | 0% | 56 | 0.742, 0.725, 0.74, 0.744, 0.724 |
life_expectancy |
Life expectancy | float | SEL | 0% | 13 | 72.99, 72.99, 72.99, 72.99, 72.99 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 91 | 10.81, 8.787, 9.699, 10.34, 9.833 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 13 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| 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 | UY, UY, UY, UY, UY |
population_count |
Population count | float | SEL | 2% | 65 | 2529957.0, 2562044.0, 2593298.0, 2623766.0, 2653180.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 67.683, 67.81, 67.911, 68.023, 68.112 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 491.031760304596, 603.966513233705, 659.393716891716,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 68% | 21 | 93.8600006103516, 95.379997253418, 96.7799987792969,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 63.3, 62.1, 60.6, 59.3, 58.3 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 94% | 4 | 11.6, 9.9, 19.7, 17.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Uruguay, Uruguay, Uruguay, Uruguay, Uruguay |
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 | UY, UY, UY, UY, UY |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 67.683, 67.81, 67.911, 68.023, 68.112 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 18% | 46 | 22.7, 23.9, 25.5, 26.6, 26.3 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 63.3, 62.1, 60.6, 59.3, 58.3 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 21 | 41.0, 41.0, 41.0, 39.0, 36.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 62 | 2.827, 2.846, 2.866, 2.884, 2.863 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 21.797, 21.814, 21.826, 21.81, 21.48 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 62 | 9.766, 9.724, 9.702, 9.681, 9.668 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 73% | 18 | 1.064, 1.136, 1.093, 1.111, 1.997 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 61% | 21 | 5.5118203163147, 5.91270017623901, 5.00180006027222,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 18 | 53.0, 57.0, 67.0, 73.0, 62.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 9.17182446, 9.75702, 9.64023018, 9.57667351, 8.26618195 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Uruguay, Uruguay, Uruguay, Uruguay, Uruguay |
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 | URY |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Uruguay |
admin_code |
Admin code | string | SEL | 0% | 1 | 38943091B55852499818945 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 176833.7916 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 3402029 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 19.24 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | URY, URY, URY, URY, URY |
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% | 19 | Montevideo, Canelones, Maldonado, Salto, Colonia |
admin_code |
Admin code | string | SEL | 0% | 19 | 27058087B97113143242340, 27058087B19329078127106,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 19 | 528.5791, 4524.3804, 4804.1806, 14182.3809, 6117.0115 |
pop_2024 |
Population count | integer | SEL | 0% | 19 | 1316024, 597876, 190265, 129595, 124738 |
pop_density_2024 |
Population density | float | SEL | 0% | 19 | 2489.74, 132.15, 39.6, 9.14, 20.39 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | URY, URY, URY, URY, URY |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 8 | Montevideo, Las Piedras, Salto, Ciudad de la Costa, Maldonado |
admin_code |
Admin code | integer | SEL | 0% | 8 | 804, 670, 36, 931, 1051 |
area_sqkm |
Area sqkm | float | SEL | 0% | 8 | 236.447, 27.9379, 21.932, 47.888, 35.9157 |
pop_2024 |
Population count | integer | SEL | 0% | 8 | 1292415, 117730, 91683, 81368, 79865 |
pop_density_2024 |
Population density | float | SEL | 0% | 8 | 5465.98, 4213.99, 4180.33, 1699.13, 2223.68 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 8 | 1219222, 106086, 96048, 99151, 124858 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 8 | 1.06, 1.11, 0.955, 0.821, 0.64 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | UY |
region_name |
Region name | string | SEL | 0% | 1 | Uruguay |
F_TL |
Female population | integer | SEL | 0% | 1 | 1835590 |
M_TL |
Male population | integer | SEL | 0% | 1 | 1730941 |
T_TL |
Total population | integer | SEL | 0% | 1 | 3566539 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 109353 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 111362 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 113779 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 118513 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 126940 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 133528 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 126151 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 120751 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 119927 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 120000 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 109359 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 103061 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 101323 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 90463 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 74063 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 60590 |
F_80_84 |
Female population age 80-84 | integer | 0% | 1 | 45340 |
F_85_89 |
Female population age 85-89 | integer | 0% | 1 | 30003 |
F_90Plus |
F_90Plus | integer | 0% | 1 | 20911 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 114656 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 116722 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 119036 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 123774 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 131938 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 136950 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 127608 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 121053 |
| +30 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 19 | UY01, UY02, UY03, UY04, UY05 |
region_name |
Region name | string | SEL | 0% | 19 | Artigas, Canelones, Cerro Largo, Colonia, Durazno |
F_TL |
Female population | integer | SEL | 0% | 19 | 37030, 318429, 45781, 67173, 29818 |
M_TL |
Male population | integer | SEL | 0% | 19 | 36269, 307268, 43881, 65343, 29126 |
T_TL |
Total population | integer | SEL | 0% | 19 | 73299, 625697, 89662, 132517, 58944 |
| 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 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 19 | 2367, 19216, 2799, 3855, 1876 |
F_05_09 |
Female population age 5-9 | integer | 0% | 19 | 2517, 19453, 2925, 4099, 1981 |
F_10_14 |
Female population age 10-14 | integer | 0% | 19 | 2633, 19991, 3074, 4371, 2017 |
F_15_19 |
Female population age 15-19 | integer | 0% | 19 | 2399, 21325, 3142, 4094, 1974 |
F_20_24 |
Female population age 20-24 | integer | 0% | 19 | 2569, 22205, 3077, 3891, 1978 |
F_25_29 |
Female population age 25-29 | integer | 0% | 19 | 2808, 23204, 3323, 4452, 2217 |
F_30_34 |
Female population age 30-34 | integer | 0% | 19 | 2403, 22454, 2954, 4399, 1985 |
F_35_39 |
Female population age 35-39 | integer | 0% | 19 | 2272, 21498, 2716, 4374, 1884 |
F_40_44 |
Female population age 40-44 | integer | 0% | 19 | 2230, 21190, 2926, 4459, 1943 |
F_45_49 |
Female population age 45-49 | integer | 0% | 19 | 2198, 21701, 3053, 4320, 1939 |
F_50_54 |
Female population age 50-54 | integer | 0% | 19 | 2223, 19454, 2779, 4166, 1752 |
F_55_59 |
Female population age 55-59 | integer | 0% | 19 | 2284, 18082, 2577, 3985, 1701 |
F_60_64 |
Female population age 60-64 | integer | 0% | 19 | 2101, 17267, 2533, 3892, 1608 |
F_65_69 |
Female population age 65-69 | integer | 0% | 19 | 1812, 15166, 2257, 3519, 1411 |
F_70_74 |
Female population age 70-74 | integer | 0% | 19 | 1451, 12058, 1949, 2981, 1170 |
F_75_79 |
Female population age 75-79 | integer | 0% | 19 | 1130, 9657, 1554, 2438, 957 |
F_80_84 |
Female population age 80-84 | integer | 0% | 19 | 787, 7091, 1087, 1835, 715 |
F_85_89 |
Female population age 85-89 | integer | 0% | 18 | 510, 4491, 658, 1226, 441 |
F_90Plus |
F_90Plus | integer | 0% | 19 | 327, 2917, 390, 809, 258 |
M_00_04 |
Male population age 0-4 | integer | 0% | 19 | 2492, 20217, 2958, 4013, 1929 |
M_05_09 |
Male population age 5-9 | integer | 0% | 19 | 2661, 20503, 3117, 4255, 2022 |
M_10_14 |
Male population age 10-14 | integer | 0% | 18 | 2804, 20877, 3308, 4464, 2078 |
M_15_19 |
Male population age 15-19 | integer | 0% | 19 | 2706, 22465, 3275, 4396, 2101 |
M_20_24 |
Male population age 20-24 | integer | 0% | 19 | 2679, 23207, 3303, 4297, 2215 |
M_25_29 |
Male population age 25-29 | integer | 0% | 19 | 2800, 23825, 3384, 4635, 2272 |
M_30_34 |
Male population age 30-34 | integer | 0% | 19 | 2429, 22893, 2893, 4488, 1988 |
M_35_39 |
Male population age 35-39 | integer | 0% | 19 | 2269, 21586, 2641, 4517, 1902 |
| +30 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 | UY, UY, UY, UY, UY |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | URY, URY, URY, URY, URY |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 19 | 5.27, -22.26, -11.67, -21.22, -2.58 |
grocery |
grocery | float | 0% | 19 | 22.99, -2.77, 12.01, -10.79, 14.49 |
parks |
parks | float | 0% | 19 | -33.23, -41.02, -14.31, -44.06, -10.26 |
transit |
transit | float | 0% | 19 | -7.17, -29.84, -10.32, -45.72, -7.45 |
workplaces |
workplaces | float | 0% | 19 | 8.35, -0.68, 5.73, -0.86, 10.43 |
residential |
residential | float | 0% | 18 | 1.17, 5.54, 3.31, 5.11, 1.17 |
region |
region | string | 0% | 19 | Artigas Department, Canelones Department, Cerro Largo... |
observation_count |
observation_count | integer | 0% | 8 | 950, 974, 967, 974, 949 |
| 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 | 36.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 146.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .uy |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 90.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 32.0 |
country_code |
Country code | string | SEL | 0% | 1 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
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 | 1.205 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1.205 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 36 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 4.93 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 4.93 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 146 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | mix of privately owned and state-run broadcast media;... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 100.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 90% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1.1 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1.1 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 32 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/uy.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 | 32000.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 80.962 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 10.1 |
country_code |
Country code | string | SEL | 0% | 1 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
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 | high-income, export-oriented South American economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 2019.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $108.502 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 | 108.502 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $105.231 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 | 105.231 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $104.456 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 | 104.456 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 3.1% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 0.7% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 0.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.5% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.5 |
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 | $32,000 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $31,100 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 31100.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $30,800 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 30800.0 |
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 | $80.962 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 4.8% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 4.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5.9% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 9.1% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 9.1 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +120 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 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
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 | 5.682 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 5.682 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 9.826 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 9.826 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 2 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 2.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 84 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 84.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.136 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.136 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 8% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 8.0 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 3.8% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 3.8 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 37% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 37.0 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 27.3% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 27.3 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 23.9% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 23.9 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 8,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 8000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 13,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 13000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 400 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 400.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 50,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 50000.0 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 90.018 million cubic meters (2023 est.) |
| +7 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 | 81.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 11.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 95.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.4 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.26 |
country_code |
Country code | string | SEL | 0% | 1 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
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 | water pollution from meat-packing, tannery industries;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Antarctic-Environmental Protection, Antarctic-Marine... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Marine Dumping-London Convention, Marine Life Conservation |
climate_text |
climate_text | string | 0% | 1 | warm temperate; freezing temperatures almost unknown |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 81.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 12.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 12.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.2% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.2 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 68.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 68.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 11.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 7.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 7.3 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 95.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.4% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 6.896 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 6.896 |
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 | 6.681 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 | 6.681 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 177,000 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 | 177000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 8.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 8.5 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 18.1 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 18.1 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 730.6 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 730.6 |
| +21 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 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
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 | Uruguayan(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Uruguayan |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | White 87.7%, Black 4.6%, Indigenous 2.4%, other 0.3%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 87.7 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/uy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 176215.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 175015.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 1200.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 1591.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 660.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 514.0 |
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 | 81.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 11.4 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 2230.0 |
country_code |
Country code | string | SEL | 0% | 1 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern South America, bordering the South Atlantic... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 33 00 S, 56 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 33.0 |
map_references_text |
map_references_text | string | 0% | 1 | South America |
area_total_text |
area_total_text | string | 0% | 1 | 176,215 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 175,015 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 1,200 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | about the size of Virginia and West Virginia combined;... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 1,591 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Argentina 541 km; Brazil 1,050 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 541.0 |
coastline_text |
coastline_text | string | 0% | 1 | 660 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm or the edge of continental margin |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | warm temperate; freezing temperatures almost unknown |
terrain_text |
terrain_text | string | 0% | 1 | mostly rolling plains and low hills; fertile coastal lowland |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Cerro Catedral 514 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Atlantic Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 109 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 109.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | arable land, hydropower, minor minerals, fish |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 81.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 12.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 12.6 |
| +19 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | URY |
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 | Oriental Republic of Uruguay |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Uruguay |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | República Oriental del Uruguay |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Uruguay |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Banda Oriental, Cisplatine Province |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name derives from the Uruguay River, which makes up the... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Montevideo |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 34 51 S, 56 10 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 34.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC-3 (2 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | -3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the origin of the name is disputed but refers to a hill... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 19 departments (departamentos, singular - departamento);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 19.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system based on the Spanish civil code |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest approved by plebiscite 27... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 27.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | initiated by public petition of at least 10% of... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 10.0 |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction; accepts ICCt jurisdiction |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | yes |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | yes |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 3-5 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 years of age; universal and compulsory |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Yamandú ORSI Martínez (since 1 March 2025) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 1.0 |
| +92 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 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The Spanish founded the city of Montevideo in modern-day... |
background_numeric |
background_numeric | float | 0% | 1 | 1726.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/uy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
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 (official, Rioplatense is the most widely spoken dialect) |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | La Libreta Informativa del Mundo, la fuente... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/uy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
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 | 32,149 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 32149.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 33 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 33.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 5 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 5.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/uy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Armed Forces of Uruguay (Fuerzas Armadas del Uruguay or... |
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 | 2.1% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.1 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.3 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 23,000 active-duty Armed Forces (15,000... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 23000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military's inventory includes a variety of mostly... |
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 | generally 18-30 years of age (up to 22 for the Navy and... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 630 Democratic Republic of the Congo (MONUSCO); 210... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 630.0 |
military_note_text |
military_note_text | string | 0% | 1 | the armed forces are responsible for defense of the... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2018.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/uy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 3449444.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 1678419.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 1771025.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 18.9 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 65.4 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 15.7 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 48.7 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 26.2 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 22.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 37.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.06 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 9.05 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 9.88 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.19 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 95.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.4 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.04 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.94 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 15.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 6.9 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 78.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.27 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.62 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 4.67 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.5 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 98.9 |
country_code |
Country code | string | SEL | 0% | 1 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
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 | 3,449,444 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 1,678,419 |
population_female_text |
population_female_text | string | 0% | 1 | 1,771,025 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 18.9% (male 329,268/female 317,925) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 65.4% (male 1,112,622/female 1,128,418) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 15.7% (2024 est.) (male 218,242/female 318,855) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 48.7 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 26.2 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 22.5 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 4.4 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 4.4 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 37.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 34.9 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 34.9 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 38.2 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 38.2 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.06% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 9.05 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 9.88 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0.19 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most of the country's population resides in the southern... |
population_distribution_numeric |
population_distribution_numeric | float | 0% | 1 | 80.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 95.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.4% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.774 million MONTEVIDEO (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.774 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.04 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.99 male(s)/female |
| +86 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 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.0 |
composition_ethnicity_primary_label_synth |
White | string | CCL | 0% | - | White |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 36.5%, Protestant 5% (Evangelical... |
religions_numeric |
religions_numeric | float | 0% | 1 | 36.5 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/uy.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 36.5 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 5.0 |
composition_religion_protestant__evangelical_non_specific_pct_synth |
Evangelical (non-specific) | numeric | 0% | - | 4.6 |
composition_religion_protestant__adventist_pct_synth |
Adventist | numeric | 0% | - | 0.2 |
composition_religion_protestant__protestant_non_specific_pct_synth |
Protestant (non-specific) | numeric | 0% | - | 0.3 |
composition_religion_african_american_cults_umbanda_pct_synth |
African American Cults/Umbanda | numeric | 0% | - | 2.8 |
composition_religion_jehovah_s_witness_pct_synth |
Jehovah's Witness | numeric | 0% | - | 0.6 |
composition_religion_church_of_jesus_christ_pct_synth |
Church of Jesus Christ | numeric | 0% | - | 0.2 |
composition_religion_believer_not_belonging_to_the_church_pct_synth |
Believer (not belonging to the church) | numeric | 0% | - | 1.8 |
composition_religion_agnostic_pct_synth |
agnostic | numeric | 0% | - | 0.3 |
composition_religion_atheist_pct_synth |
atheist | numeric | 0% | - | 1.3 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 47.3 |
composition_religion_unspecified_roman_catholic_42_pct_synth |
unspecified Roman Catholic 42% | numeric | 0% | - | 3.4 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 24.0 |
composition_ethnicity_white_pct_synth |
White | numeric | 0% | - | 87.7 |
composition_ethnicity_black_pct_synth |
Black | numeric | 0% | - | 4.6 |
composition_ethnicity_indigenous_pct_synth |
Indigenous | numeric | 0% | - | 2.4 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.3 |
composition_ethnicity_none_or_unspecified_pct_synth |
none or unspecified | numeric | 0% | - | 5.0 |
composition_ethnicity_primary_share_pct_synth |
White | numeric | 0% | - | 87.7 |
| 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 | CX |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 65.0 |
country_code |
Country code | string | SEL | 0% | 1 | URY |
country_name |
Country name | string | SEL | 0% | 1 | Uruguay |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 65 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 4 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 4.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 1,673 km (2016) (operational; government claims overall... |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 1673.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 1,673 km (2016) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 1673.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 58 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 58.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | container ship 1, general cargo 4, oil tanker 3, other 50 |
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 | 8 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 8.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 6 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 6.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 2 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 2.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Colonia, Fray Bentos, Jose Ignacio, La Paloma,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/uy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 9 | chan1296, char1240, east2295, guen1235, mbya1239 |
name |
Name | string | CCL | 0% | 9 | Chaná, Charrúa, Eastern Yiddish, Güenoa, Mbyá Guaraní |
iso639_3 |
Iso639 3 | string | CCL | 44% | 5 | ydd, gun, por, spa, ugy |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 5 | char1238, char1238, indo1319, char1238, tupi1275 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 7 | char1238, char1238, schl1237, char1238, tupi1282 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 5 | ['UY'], ['UY'], ['AR', 'AU', 'BE', 'BY', 'CA', 'CR',... |
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% | 5 | 0, 0, 12, 0, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 11% | 8 | -33.69, -34.9, 51.75, -33.810189, -26.0188 |
longitude |
longitude | float | 11% | 8 | -57.78, -56.16, 19.42, -54.473877, -52.711 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 8 | Montevideo, Maldonado, Las Piedras, Ciudad de la Costa, Salto |
country_code |
Country code | string | SEL | 0% | 1 | URY, URY, URY, URY, URY |
population |
Population count | integer | SEL | 0% | 8 | 1219222, 124858, 106086, 99151, 96048 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 8 | 804, 1051, 670, 931, 36 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Uruguay, Uruguay, Uruguay, Uruguay, Uruguay |
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 |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | URY, URY, URY |
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 | 4781, 154, 16 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 96.5664, 3.1105, 0.3232 |
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 | URY |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Uruguay |
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 | 99.9686 |
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 | 12726 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 7376 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 12722 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 4 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 6537 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2997 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 2657 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1906 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 1505 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 1043 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 1261 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 862 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 315 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 145 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 451 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 423 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | URY, URY |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 2 | Whites/mestizos, Afro-Uruguayans |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | MONOPOLY, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 2 | 0.908, 0.078 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 2 | 16501000, 16502000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , |
| 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 | URY |
| 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) | 4,781 | 96.6% | — |
| English (eng) | 154 | 3.1% | — |
| Portuguese (por) | 16 | 0.3% | — |
7,376 distinct features ·
3 languages ·
0 scripts ·
4 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.
| Source | Type | Access |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| commercial | bulk_download | |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Values Survey | academic | metadata_catalog |
| World Bank Open Data | international_organization | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.