ⓘ 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 | SUR, SUR, SUR, SUR, SUR |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 6 | Total, Brokopondo and Sipaliwini, Commewijne and... |
human_development_index |
Human development index | float | SEL | 0% | 69 | 0.665, 0.442, 0.659, 0.676, 0.707 |
health_index |
Health index | float | SEL | 0% | 82 | 0.648, 0.591, 0.681, 0.688, 0.64 |
education_index |
Education index | float | SEL | 0% | 74 | 0.598, 0.293, 0.561, 0.57, 0.678 |
income_index |
Income index | float | SEL | 0% | 68 | 0.761, 0.498, 0.75, 0.788, 0.815 |
life_expectancy |
Life expectancy | float | SEL | 0% | 99 | 62.09, 58.4, 64.26, 64.71, 61.63 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 92 | 8.973, 3.022, 8.258, 8.311, 10.51 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 17 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SR, SR, SR, SR, SR |
population_count |
Population count | float | SEL | 2% | 65 | 263918.0, 272791.0, 283912.0, 297034.0, 309041.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 56.595, 57.29, 58.023, 58.496, 58.908 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 377.579399662016, 394.80774658988, 409.105638366818,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 89.5999984741211, 94.620002746582, 94.6800003051758,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 38% | 41 | 56.7, 54.9, 53.1, 51.3, 49.7 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 99% | 1 | 17.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Suriname, Suriname, Suriname, Suriname, Suriname |
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 | SR, SR, SR, SR, SR |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 56.595, 57.29, 58.023, 58.496, 58.908 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 47% | 31 | 21.0, 20.6, 20.2, 19.8, 19.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 38% | 41 | 56.7, 54.9, 53.1, 51.3, 49.7 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 386.0, 377.0, 372.0, 364.0, 360.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 62 | 6.59, 6.583, 6.572, 6.508, 6.426 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 44.879, 44.357, 43.472, 42.608, 41.997 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 13.922, 13.707, 13.431, 12.857, 12.312 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 76% | 15 | 0.51, 0.465, 0.791, 0.75, 0.762 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 71% | 18 | 6.51034498214722, 5.6774001121521, 8.92679977416992,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 23 | 25.0, 27.0, 61.0, 85.0, 80.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 5.87092161, 3.82474971, 5.32991552, 4.88878393, 5.4608078 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Suriname, Suriname, Suriname, Suriname, Suriname |
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 |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 21 | akur1238, araw1276, cari1275, cari1276, chai1253 |
name |
Name | string | CCL | 0% | 21 | Akurio, Lokono, Caribbean Hindustani, Caribbean Javanese, Chaima |
iso639_3 |
Iso639 3 | string | CCL | 10% | 19 | ako, arw, hns, jvn, ciy |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 5% | 6 | cari1283, araw1281, indo1319, aust1307, cari1283 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 5% | 18 | tiri1260, iner1234, bhoj1246, glob1245, coas1302 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 14 | ['SR'], ['GF', 'GY', 'SR', 'VE'], ['GY', 'NL', 'SR',... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 7 | 0, 3, 2, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 5% | 20 | 3.19607, 5.64295, 5.722918, 5.62695, 9.21256 |
longitude |
longitude | float | 5% | 20 | -55.6294, -56.9243, -55.333168, -54.6305, -63.1034 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | 20.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 142.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .sr |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 78.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 20.0 |
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
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 | 129,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 129000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 20 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 902,000 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 902000.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 142 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 2 state-owned TV stations; 1 state-owned radio station;... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 78% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 125,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 125000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 20 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ns.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 | 19400.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 4.714 |
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
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 | upper middle-income South American economy; new floating... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $12.316 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 | 12.316 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $11.976 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 | 11.976 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $11.68 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 | 11.68 |
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 | 2.8% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 2.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 2.5% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 2.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 2.4% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 2.4 |
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 | $19,400 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $19,000 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 19000.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $18,700 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 18700.0 |
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 | $4.714 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 16.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 16.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 51.6% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 51.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 52.4% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 52.4 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 7.5% (2023 est.) |
| +100 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 | 99.0 |
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
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 | 99% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 100% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 100.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 98% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 98.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 537,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 537000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 1.896 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 1.896 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 245.206 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 245.206 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 57.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 57.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.6% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.6 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 42% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 42.0 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.3% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.3 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 2 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 2.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 14,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 14000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 17,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 17000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 89 million barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 89.0 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 7.173 million cubic meters (2023 est.) |
natural_gas_production_numeric |
natural_gas_production_numeric | float | 0% | 1 | 7.173 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 6.967 million cubic meters (2023 est.) |
| +5 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 | 0.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 91.7 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 66.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.88 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 78600.0 |
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
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; pollution of inland waterways from... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
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; moderated by trade winds |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 0.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.1 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 91.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 7.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 7.9 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 66.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.88% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 2.521 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 2.521 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 2.507 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 | 2.507 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 14,000 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 | 14000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 12.2 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 12.2 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 78,600 tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 16.9% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 16.9 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 49.3 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 49.3 |
| +8 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 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
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 | Surinamer(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Surinamese |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Hindustani (also known locally as "East Indians"; their... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 19.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ns.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 163820.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 156000.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 7820.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 1907.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 386.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1230.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -2.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 0.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 91.7 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 600.0 |
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Northern South America, bordering the North Atlantic... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 4 00 N, 56 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 4.0 |
map_references_text |
map_references_text | string | 0% | 1 | South America |
area_total_text |
area_total_text | string | 0% | 1 | 163,820 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 156,000 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 7,820 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly larger than Georgia |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 1,907 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Brazil 515 km; French Guiana 556 km; Guyana 836 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 515.0 |
coastline_text |
coastline_text | string | 0% | 1 | 386 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 |
climate_text |
climate_text | string | 0% | 1 | tropical; moderated by trade winds |
terrain_text |
terrain_text | string | 0% | 1 | mostly rolling hills; narrow coastal plain with swamps |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Juliana Top 1,230 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | unnamed location in the coastal plain -2 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 246 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 246.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | timber, hydropower, fish, kaolin, shrimp, bauxite, gold,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 0.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.1 |
| +11 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 | SUR |
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 Suriname |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Suriname |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republiek Suriname |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Suriname |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Netherlands Guiana, Dutch Guiana |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name may derive from the Surinen people who inhabited... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Paramaribo |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 5 50 N, 55 10 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 5.0 |
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 name comes from the Guaraní words para (water or... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 10 districts (distrikten, singular - distrikt);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 10.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system influenced by Dutch civil law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1975; latest ratified 30 September 1987,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1975.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Assembly; passage requires at... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Suriname |
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 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Jennifer GEERLINGS-SIMONS (since 16 July 2025) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 16.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | President Jennifer GEERLINGS-SIMONS (since 16 July 2025) |
| +74 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 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The Spaniards first explored Suriname in the 16th... |
background_numeric |
background_numeric | float | 0% | 1 | 16.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ns.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Dutch (official), English (widely spoken), Sranang Tongo... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Het Wereld Feitenboek, een omnisbare bron van... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ns.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
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 | 3,241 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 3241.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ns.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
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 | Suriname National Army (Nationaal Leger or NL); Army... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2026.0 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 1.2% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2018_text |
Military expenditures 2018 (text) | string | 0% | 1 | 1.1% of GDP (2018 est.) |
military_expenditures_military_expenditures_2018_numeric |
Military expenditures 2018 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2017_text |
Military expenditures 2017 (text) | string | 0% | 1 | 1.1% of GDP (2017 est.) |
military_expenditures_military_expenditures_2017_numeric |
Military expenditures 2017 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2016_text |
Military expenditures 2016 (text) | string | 0% | 1 | 1.2% of GDP (2016 est.) |
military_expenditures_military_expenditures_2016_numeric |
Military expenditures 2016 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2015_text |
Military expenditures 2015 (text) | string | 0% | 1 | 1.4% of GDP (2015 est.) |
military_expenditures_military_expenditures_2015_numeric |
Military expenditures 2015 (numeric) | float | 0% | 1 | 1.4 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 2,000 National Army (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 2000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Suriname Army has a limited inventory of older or... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-28 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 National Leger is responsible for defending the... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ns.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 653605.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 323747.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 329858.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 22.5 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 70.0 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 7.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 43.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 31.8 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 11.2 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 32.3 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.04 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 14.63 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.74 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 2.46 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 66.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.88 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.07 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.98 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 84.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 29.3 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 72.7 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.87 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.9 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.36 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.9 |
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
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 | 653,605 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 323,747 |
population_female_text |
population_female_text | string | 0% | 1 | 329,858 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 22.5% (male 73,864/female 71,573) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 70% (male 226,417/female 226,235) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 7.5% (2024 est.) (male 20,071/female 28,598) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 43 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 31.8 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 11.2 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 8.9 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 8.9 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 32.3 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 31 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 31.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 32.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 32.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.04% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 14.63 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.74 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 2.46 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population is concentrated along the northern coastal... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 66.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.88% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 239,000 PARAMARIBO (capital) (2018) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 239000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.07 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.03 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.0 |
| +80 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 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_hindu_pct_synth |
Hindu | numeric | CCL | 0% | - | 22.3 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 13.8 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.7 |
composition_ethnicity_primary_label_synth |
Hindustani (also known locally as "East Indians"; their ancestors emigrated from northern India in the latter part of the 19th century) | string | CCL | 0% | - | Hindustani (also known locally as "East Indians"; their... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 23.6% (includes Evangelical 11.2%, Moravian... |
religions_numeric |
religions_numeric | float | 0% | 1 | 23.6 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ns.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 23.6 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 21.6 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 3.2 |
composition_religion_winti_pct_synth |
Winti | numeric | 0% | - | 1.8 |
composition_religion_jehovah_s_witness_pct_synth |
Jehovah's Witness | numeric | 0% | - | 1.2 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 7.5 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 3.2 |
composition_ethnicity_hindustani_also_known_locally_as_east_indians_their_ancestors_emigrated_from_northern_india_in_the_latter_part_of_the_19th_century_pct_synth |
Hindustani (also known locally as "East Indians"; their ancestors emigrated from northern India in the latter part of the 19th century) | numeric | 0% | - | 27.4 |
composition_ethnicity_maroon_their_african_ancestors_were_brought_to_the_country_in_the_17th_and_18th_centuries_as_slaves_and_escaped_to_the_interior_pct_synth |
Maroon (their African ancestors were brought to the country in the 17th and 18th centuries as slaves and escaped to the interior) | numeric | 0% | - | 21.7 |
composition_ethnicity_creole_mixed_white_and_black_pct_synth |
Creole (mixed White and Black) | numeric | 0% | - | 15.7 |
composition_ethnicity_javanese_pct_synth |
Javanese | numeric | 0% | - | 13.7 |
composition_ethnicity_mixed_pct_synth |
mixed | numeric | 0% | - | 13.4 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 7.6 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.6 |
composition_ethnicity_primary_share_pct_synth |
Hindustani (also known locally as "East Indians"; their ancestors emigrated from northern India in the latter part of the 19th century) | numeric | 0% | - | 27.4 |
| 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 | PZ |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 55.0 |
country_code |
Country code | string | SEL | 0% | 1 | SUR |
country_name |
Country name | string | SEL | 0% | 1 | Suriname |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 55 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 1 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 1.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 13 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 13.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 5, oil tanker 3, other 5 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 5.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 4 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 4.0 |
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 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 3 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 3.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Moengo, Nieuw Nickerie, Paramaribo, Paranam |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | south-america/ns.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SUR |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Suriname |
admin_code |
Admin code | string | SEL | 0% | 1 | 90644646B75256786933063 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 145361.2559 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 638812 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 4.39 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SUR, SUR, SUR, SUR, SUR |
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% | 10 | Paramaribo, Wanica, Nickerie, Sipaliwini, Saramacca |
admin_code |
Admin code | string | SEL | 0% | 10 | 93550828B84160656428348, 93550828B69998957246771,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 177.3399, 388.0142, 5103.9386, 111938.2, 3887.7124 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 280065, 148388, 39774, 37904, 31842 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 1579.26, 382.43, 7.79, 0.34, 8.19 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SUR |
admin_level |
Admin level | string | SEL | 0% | 1 | locality |
admin_name |
Admin name | string | SEL | 0% | 1 | Paramaribo |
admin_code |
Admin code | integer | SEL | 0% | 1 | 34 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 101.3311 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 276990 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 2733.51 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 1 | 253626 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 1 | 1.092 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SUR, SUR, SUR, SUR, SUR |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 6 | Creoles, East Indians, Maroons, Javanese, Indigenous... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | JUNIOR PARTNER, SENIOR PARTNER, JUNIOR PARTNER,... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 6 | 0.2904, 0.274, 0.217, 0.137, 0.038 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 6 | 11501000, 11503000, 11506000, 11505000, 11504000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 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 | SUR, SUR, SUR, SUR |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | nld, fra, eng, por |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | Dutch, French, English, Portuguese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 1038, 107, 69, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 85.4321, 8.8066, 5.679, 0.0823 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SUR |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Suriname |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.8663 |
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 | 4489 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 2506 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 4483 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 6 |
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 | 857 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 522 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 154 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 132 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 2419 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1276 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 480 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 236 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 296 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 217 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 197 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 74 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 63 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 38 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 23 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 11 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SUR, SUR, SUR |
society_id |
Society id | string | CCL | 0% | 3 | Sc10, Sc14, Sc6 |
society_name |
Society name | string | CCL | 0% | 3 | Lokono, Rucuyen, Saramaccan |
language_glottocode |
Language glottocode | string | CCL | 0% | 3 | araw1276, waya1269, sara1340 |
language_name |
Language name | string | CCL | 0% | 1 | , , |
kinship_system |
Kinship system | string | CCL | 0% | 2 | EA001:1; EA002:1; EA003:3; EA004:0; EA005:5, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 3 | EA006:2; EA007:8; EA008:2; EA009:2; EA010:5, EA006:NA;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 3 | EA028:3; EA029:5; EA030:7; EA031:1; EA032:3, EA028:NA;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA033:1; EA034:2; EA035:NA, EA033:NA; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 3 | EA034:2; EA112:5, EA034:NA; EA112:NA, EA034:NA; EA112:3 |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:3; EA012:5; EA013:9, EA011:3; EA012:9; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Suriname, Suriname, Suriname |
dataset |
dataset | string | 0% | 1 | EA, EA, EA |
region |
region | string | 0% | 1 | , , |
latitude |
latitude | float | 0% | 3 | 5.95, 3.0, 4.0 |
longitude |
longitude | float | 0% | 3 | -56.98, -55.0, -56.0 |
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 |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 1 | Paramaribo |
country_code |
Country code | string | SEL | 0% | 1 | SUR |
population |
Population count | integer | SEL | 0% | 1 | 253626 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 1 | 34 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Suriname |
population_year |
population_year | integer | 0% | 1 | 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| 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 | SUR |
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 | 170 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 2 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 1 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 79 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 5.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 5.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 188 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 2 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 2.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 7 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 8.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 8.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 92 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | integer | 0% | 1 | 5 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 5.25 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 122 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.53 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.55 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 120 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 109 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 4.77 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 4.9 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 111 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
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 |
|---|---|---|---|
| Dutch (nld) | 1,038 | 85.4% | — |
| French (fra) | 107 | 8.8% | — |
| English (eng) | 69 | 5.7% | — |
| Portuguese (por) | 1 | 0.1% | — |
2,506 distinct features ·
4 languages ·
0 scripts ·
6 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 |
|---|---|---|
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Ethnic Power Relations Dataset | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| 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.