ⓘ 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 | LBN, LBN, LBN, LBN, LBN |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 6 | Total, Beirut, Beqaa, Mount Lebanon, Northern |
human_development_index |
Human development index | float | SEL | 0% | 78 | 0.593, 0.568, 0.615, 0.593, 0.582 |
health_index |
Health index | float | SEL | 0% | 16 | 0.7, 0.7, 0.7, 0.7, 0.7 |
education_index |
Education index | float | SEL | 0% | 85 | 0.472, 0.418, 0.496, 0.456, 0.507 |
income_index |
Income index | float | SEL | 0% | 72 | 0.631, 0.627, 0.671, 0.652, 0.556 |
life_expectancy |
Life expectancy | float | SEL | 0% | 17 | 65.48, 65.48, 65.48, 65.48, 65.48 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 98 | 7.081, 6.27, 7.447, 6.843, 7.599 |
| 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 | LB, LB, LB, LB, LB |
population_count |
Population count | float | SEL | 2% | 65 | 1794406.0, 1850084.0, 1909578.0, 1970316.0, 2030543.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 63.927, 64.267, 64.595, 64.879, 65.103 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 46% | 36 | 959.153901867443, 771.001121245521, 789.526338484738,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 89.6100006103516, 91.1800003051758, 92.6699981689453,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 74.8, 72.4, 70.1, 68.0, 66.2 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 2 | 28.6, 27.4, 27.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Lebanon, Lebanon, Lebanon, Lebanon, Lebanon |
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 | LB, LB, LB, LB, LB |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 63.927, 64.267, 64.595, 64.879, 65.103 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 23% | 45 | 33.5, 33.2, 32.8, 34.6, 32.2 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 74.8, 72.4, 70.1, 68.0, 66.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 25 | 59.0, 58.0, 65.0, 65.0, 49.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 5.877, 5.891, 5.902, 5.905, 5.851 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 39.453, 39.061, 38.697, 38.285, 37.568 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 10.187, 9.876, 9.588, 9.328, 9.099 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 65% | 22 | 0.778, 0.938, 0.726, 1.693, 1.714 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 59% | 14 | 4.58133935928345, 4.09870004653931, 1.6505999565,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 25 | 2.0, 4.0, 4.0, 4.0, 17.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 10.82951355, 10.56254768, 9.28233719, 8.67109871, 7.99923086 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Lebanon, Lebanon, Lebanon, Lebanon, Lebanon |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Republic of Lebanon |
admin_code |
Admin code | string | SEL | 0% | 1 | 18678258B39466436101806 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 10176.3626 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 5322813 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 523.06 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN, LBN, LBN, LBN, LBN |
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% | 9 | Mont-Liban, Liban-Nord, Liban-Sud, Nabatîyé, Béqaa |
admin_code |
Admin code | string | SEL | 0% | 9 | 68408151B78911970066467, 68408151B65529488220063,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 9 | 1201.8823, 1233.57, 935.7628, 1106.7325, 1337.2246 |
pop_2024 |
Population count | integer | SEL | 0% | 9 | 1709452, 701817, 650347, 464614, 413232 |
pop_density_2024 |
Population density | float | SEL | 0% | 9 | 1422.31, 568.93, 694.99, 419.81, 309.02 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN, LBN, LBN, LBN, LBN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 8 | Beirut, Tripoli, Sidon, Zahle, Nabatieh |
admin_code |
Admin code | integer | SEL | 0% | 8 | 458, 870, 302, 989, 604 |
area_sqkm |
Area sqkm | float | SEL | 0% | 8 | 198.4926, 25.9369, 31.9139, 27.9278, 37.8992 |
pop_2024 |
Population count | integer | SEL | 0% | 8 | 1258259, 282162, 110898, 64539, 62986 |
pop_density_2024 |
Population density | float | SEL | 0% | 8 | 6339.07, 10878.79, 3474.91, 2310.92, 1661.93 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 8 | 1538386, 309234, 207486, 98525, 106608 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 8 | 0.818, 0.912, 0.534, 0.655, 0.591 |
| 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 | 16.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 77.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .lb |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 84.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 7.0 |
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
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 | 875,000 (2021 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 875000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 16 (2022 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 4.29 million (2021 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 4.29 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 77 (2021 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 7 TV stations, 1 of which is state-owned; more than 30... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 7.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 84% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 419,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 419000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 7 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/le.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 20.079 |
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
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 | lower middle-income Middle Eastern economy;... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $65.415 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 | 65.415 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $65.917 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 | 65.917 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_text |
Real gdp purchasing power parity 2021 (text) | string | 0% | 1 | $66.329 billion (2021 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_numeric |
Real gdp purchasing power parity 2021 (numeric) | float | 0% | 1 | 66.329 |
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_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -0.8% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -0.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | -0.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | -0.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2021_text |
Real gdp growth rate 2021 (text) | string | 0% | 1 | -7% (2021 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2021_numeric |
Real gdp growth rate 2021 (numeric) | float | 0% | 1 | -7.0 |
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_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $11,300 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 11300.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $11,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 11500.0 |
real_gdp_per_capita_real_gdp_per_capita_2021_text |
Real gdp per capita 2021 (text) | string | 0% | 1 | $11,600 (2021 est.) |
real_gdp_per_capita_real_gdp_per_capita_2021_numeric |
Real gdp per capita 2021 (numeric) | float | 0% | 1 | 11600.0 |
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 | $20.079 billion (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 45.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 45.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 221.3% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 221.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 171.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 171.2 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +114 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 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
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 | 5.161 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 5.161 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 4.077 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 4.077 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 797 million kWh (2021 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 797.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 436.839 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 436.839 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 52.6% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 52.6 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 31% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 31.0 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 0.1% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 0.1 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 15.5% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 15.5 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.7% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.7 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 166,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 166000.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 47 metric tons (2022 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 47.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 164,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 164000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 115,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 115000.0 |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text | string | 0% | 1 | 43.105 million Btu/person (2023 est.) |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric | float | 0% | 1 | 43.105 |
source_section |
source_section | string | 0% | 1 | Energy |
| +1 more extension field — 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 | 65.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 13.8 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 89.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | -1.23 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.04 |
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation; soil deterioration, erosion;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Environmental Modification, Marine Life Conservation |
climate_text |
climate_text | string | 0% | 1 | Mediterranean; mild to cool, wet winters with hot, dry... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 65.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 13.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 13.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 13.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 13.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 39.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 39.1 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 13.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 20.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 20.3 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 89.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | -1.23% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 17.484 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 17.484 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 375,000 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 | 375000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 17.109 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 | 17.109 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 23.8 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 23.8 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 7.9 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 7.9 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 11.8 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 11.8 |
methane_emissions_waste_text |
methane_emissions_waste_text | string | 0% | 1 | 105.3 kt (2019-2021 est.) |
methane_emissions_waste_numeric |
methane_emissions_waste_numeric | float | 0% | 1 | 105.3 |
| +15 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 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
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 | Lebanese (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Lebanese |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Arab 95%, Armenian 4%, other 1% |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 95.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/le.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 10400.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 10230.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 170.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 484.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 225.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3088.0 |
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 | 65.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 13.8 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1040.0 |
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Middle East, bordering the Mediterranean Sea, between... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 33 50 N, 35 50 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 33.0 |
map_references_text |
map_references_text | string | 0% | 1 | Middle East |
area_total_text |
area_total_text | string | 0% | 1 | 10,400 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 10,230 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 170 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | about one-third the size of Maryland |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 484 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Israel 81 km; Syria 403 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 81.0 |
coastline_text |
coastline_text | string | 0% | 1 | 225 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 |
climate_text |
climate_text | string | 0% | 1 | Mediterranean; mild to cool, wet winters with hot, dry... |
terrain_text |
terrain_text | string | 0% | 1 | narrow coastal plain; El Beqaa (Bekaa Valley) separates... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Qornet es Saouda 3,088 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Mediterranean Sea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 1,250 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 1250.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | limestone, iron ore, salt, water-surplus state in a... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 65.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 13.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 13.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 13.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 13.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 39.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 39.1 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 13.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 20.3% (2023 est.) |
| +7 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 | LBN |
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 | Lebanese Republic |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Lebanon |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Al Jumhuriyah al Lubnaniyah |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Lubnan |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Greater Lebanon |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | derives from the Semitic root lbn, meaning "white," and... |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary democratic republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Beirut |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 33 52 N, 35 30 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 33.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+2 (7 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 2.0 |
capital_daylight_saving_time_text |
capital_daylight_saving_time_text | string | 0% | 1 | +1hr, begins last Sunday in March; ends last Sunday in October |
capital_daylight_saving_time_numeric |
capital_daylight_saving_time_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | derived from the Phoenician or Hebrew word be'erot,... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 8 governorates (mohafazat, singular - mohafazah);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 8.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of civil law based on the French civil... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | drafted 15 May 1926, adopted 23 May 1926 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 15.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic and introduced... |
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 | has not submitted an ICJ jurisdiction declaration;... |
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 | the father must be a citizen of Lebanon |
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 | unknown |
suffrage_text |
suffrage_text | string | 0% | 1 | 21 years of age; authorized for all men and women... |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 21.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Joseph AOUN (since 9 January 2025) |
| +77 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | As a result of its location at the crossroads of three... |
background_numeric |
background_numeric | float | 0% | 1 | 1920.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/le.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Arabic (official), French, English, Armenian |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | كتاب حقائق العالم، المصدر الذي لا يمكن الاستغناء عنه... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/le.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
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 | 765,390 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 765390.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 984,514 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 984514.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 40,000 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 40000.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/le.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
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 | Lebanese Armed Forces (LAF): Army Command (includes... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.9% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.9 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 3.2% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 3.2 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 3.0 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 4.7% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 4.7 |
military_expenditures_military_expenditures_2018_text |
Military expenditures 2018 (text) | string | 0% | 1 | 5.1% of GDP (2018 est.) |
military_expenditures_military_expenditures_2018_numeric |
Military expenditures 2018 (numeric) | float | 0% | 1 | 5.1 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 70,000 active Lebanese Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 70000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the LAF's inventory is comprised of mostly 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 | 18-25 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 primary responsibilities of the Lebanese Armed... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1978.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/le.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 5364482.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 2678543.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 2685939.0 |
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 | 71.6 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 9.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 50.3 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 39.0 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 11.3 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 29.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | -0.77 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 16.73 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.23 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -18.23 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 89.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | -1.23 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.0 |
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 | 7.3 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 79.2 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.2 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.07 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 2.68 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.7 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 92.0 |
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
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 | 5,364,482 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 2,678,543 |
population_female_text |
population_female_text | string | 0% | 1 | 2,685,939 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 18.9% (male 519,352/female 495,591) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 71.6% (male 1,939,311/female 1,900,574) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 9.5% (2024 est.) (male 219,880/female 289,774) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 50.3 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 39 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 11.3 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 8.8 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 8.8 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 29.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 35.6 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 35.6 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 36.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 36.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | -0.77% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 16.73 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.23 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -18.23 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the majority of people live on or near the Mediterranean... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 89.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | -1.23% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 2.421 million BEIRUT (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 2.421 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.05 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.02 |
| +73 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 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 67.8 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 32.4 |
composition_ethnicity_primary_label_synth |
Arab | string | CCL | 0% | - | Arab |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 67.8% (31.9% Sunni, 31.2% Shia, smaller... |
religions_numeric |
religions_numeric | float | 0% | 1 | 67.8 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/le.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_muslim__sunni_pct_synth |
Sunni | numeric | 0% | - | 31.9 |
composition_religion_muslim__shia_pct_synth |
Shia | numeric | 0% | - | 31.2 |
composition_religion_muslim__smaller_percentages_of_alawites_and_ismailis_pct_synth |
smaller percentages of Alawites and Ismailis | numeric | 0% | - | - |
composition_religion_druze_pct_synth |
Druze | numeric | 0% | - | 4.5 |
composition_religion_very_small_numbers_of_jews_pct_synth |
very small numbers of Jews | numeric | 0% | - | - |
composition_religion_baha_is_pct_synth |
Baha'is | numeric | 0% | - | - |
composition_religion_buddhists_pct_synth |
Buddhists | numeric | 0% | - | - |
composition_religion_hindus_pct_synth |
Hindus | numeric | 0% | - | - |
composition_ethnicity_arab_pct_synth |
Arab | numeric | 0% | - | 95.0 |
composition_ethnicity_armenian_pct_synth |
Armenian | numeric | 0% | - | 4.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 1.0 |
composition_ethnicity_primary_share_pct_synth |
Arab | numeric | 0% | - | 95.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Abdallah Azzam Brigades; al-Aqsa Martyrs Brigade; Asbat... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/le.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | OD |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 8.0 |
country_code |
Country code | string | SEL | 0% | 1 | LBN |
country_name |
Country name | string | SEL | 0% | 1 | Lebanon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 8 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 27 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 27.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 401 km (2017) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 401.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 319 km (2017) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 319.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 82 km (2017) 1.050-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 82.0 |
railways_note |
railways_note | string | 0% | 1 | note: rail system is still unusable due to damage... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 51 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 51.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 2, container ship 1, general cargo 30, oil... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 2.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 5 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 5.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 1 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 1.0 |
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 | 0 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 0.0 |
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 | Bayrut, Sayda, Selaata, Sidon/zahrani Terminal, Tarabulus |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/le.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN, LBN, LBN, LBN, LBN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 11 | Shi'a Muslims (Arab), Sunnis (Arab), Maronite... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 4 | SENIOR PARTNER, SENIOR PARTNER, SENIOR PARTNER,... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 9 | 0.32, 0.2, 0.16, 0.1, 0.06 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 11 | 66008000, 66010000, 66005000, 66007000, 66002000 |
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 |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 8 | Beirut, Tripoli, Sidon, Nabatieh, Zahle |
country_code |
Country code | string | SEL | 0% | 1 | LBN, LBN, LBN, LBN, LBN |
population |
Population count | integer | SEL | 0% | 8 | 1538386, 309234, 207486, 106608, 98525 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 8 | 458, 870, 302, 604, 989 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Lebanon, Lebanon, Lebanon, Lebanon, Lebanon |
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 | LB, LB, LB, LB, LB |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | LBN, LBN, LBN, LBN, LBN |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 8 | -0.99, -0.25, -29.52, 5.07, -5.67 |
grocery |
grocery | float | 0% | 8 | -0.7, 44.47, 30.16, 30.9, 17.7 |
parks |
parks | float | 0% | 8 | 0.0, 8.56, -36.41, 18.21, 20.44 |
transit |
transit | float | 0% | 3 | 0.0, 0.0, 0.0, 0.0, -4.18 |
workplaces |
workplaces | float | 0% | 8 | -33.48, -28.32, -29.38, -26.27, -23.31 |
residential |
residential | float | 0% | 8 | -6.69, -6.1, 4.91, -3.5, 1.35 |
region |
region | string | 0% | 8 | Akkar Governorate, Baalbek-Hermel Governorate, Beirut... |
observation_count |
observation_count | integer | 0% | 8 | 949, 1923, 974, 3640, 6815 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 7 | hebr1245, najd1235, nort3139, phoe1239, pidg1252 |
name |
Name | string | CCL | 0% | 7 | Modern Hebrew, Najdi Arabic, Levantine Arabic,... |
iso639_3 |
Iso639 3 | string | CCL | 14% | 6 | heb, ars, apc, phn, arb |
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% | 2 | afro1255, afro1255, afro1255, afro1255, pidg1258 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 7 | hebr1246, nort3402, leva1239, phoe1238, arab1397 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 6 | ['IL', 'JO', 'LB', 'PS', 'SY'], ['AE', 'IL', 'IQ', 'JO',... |
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 | 2, 9, 15, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 14% | 6 | 31.1056, 30.3371, 34.1709, 34.12, 27.9625 |
longitude |
longitude | float | 14% | 6 | 35.0179, 42.1773, 36.0468, 35.65, 43.8525 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | LBN, LBN, LBN, LBN, LBN |
gns_language_code |
gns_language_code | string | CCL | 0% | 6 | ara, heb, eng, tur, und |
gns_language_name |
gns_language_name | string | CCL | 0% | 6 | Arabic, Hebrew, English, Turkish, Undetermined |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 6 | 29760, 36, 25, 4, 3 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 6 | 99.7687, 0.1207, 0.0838, 0.0134, 0.0101 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 4 | 14819, 18, 0, 0, 3 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | Arab, Hebr, , , Arab |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | Arabic, Hebrew, , , Arabic |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 1, 1, 0, 0, 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | LBN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Lebanon |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 6 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9791 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 14840 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 66931 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 24343 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 66917 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 14 |
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 | 12713 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 3614 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 19119 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 7214 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 4171 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 1541 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 22054 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 8302 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 4012 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1785 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 4506 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 1771 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 207 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 46 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 149 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 70 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN |
society_id |
Society id | string | CCL | 0% | 1 | Cj7 |
society_name |
Society name | string | CCL | 0% | 1 | Lebanese |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | nort3139 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:0; EA002:0; EA003:1; EA004:2; EA005:7 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:6; EA007:8; EA008:1; EA009:1; EA010:8 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:5; EA029:4; EA030:7; EA031:8; EA032:3 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:4; EA034:4; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:4; EA112:8 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:1; EA012:8; EA013:2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Lebanon |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 34.0 |
longitude |
longitude | float | 0% | 1 | 36.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | LBN |
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 | float | 0% | 1 | 2.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 3 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 6 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 8.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 7.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 1 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 9 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 9 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 61 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 6 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 6 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 7 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 7.9 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 7.63 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 21 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.3 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 5.9 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 21 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 7.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 7 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 9 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 7.1 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 6.76 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 95 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBN |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| Arabic (ara) | 29,760 | 99.8% | Arabic |
| Hebrew (heb) | 36 | 0.1% | Hebrew |
| English (eng) | 25 | 0.1% | — |
24,343 distinct features ·
6 languages ·
2 scripts ·
14,840 names in non-Roman script ·
14 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 |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| Global Data Lab | academic | api |
| commercial | bulk_download | |
| World Values Survey | academic | metadata_catalog |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Ethnic Power Relations Dataset | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| 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.