LBN-LANDSCAN (2024)
— 9 subnational units
across
admin_1 (9).
Modeled, not enumerated — it is an estimate built on census
inputs, not the published tabulation.
4 further sources (Ethnic Power Relations Dataset, GI-TOC / ENACT, Global Data Lab, World Values Survey) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
| 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 | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | LBN, LBN, LBN, LBN, LBN |
country_name |
country_name | string | 0% | 1 | Lebanon, Lebanon, Lebanon, Lebanon, Lebanon |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 424488.0, 466437.0, 514836.0, 553850.0, 625884.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 6 | 11.8, 11.8, 11.9, 11.9, 12.4 |
net_migration |
net_migration | float | 0% | 61 | 0.0, 4844.0, 4569.0, 4269.0, 1311.0 |
remittances_received_usd |
remittances_received_usd | float | 67% | 22 | 2544451535.0, 4742999661.21, 5591436083.33333,... |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 67% | 22 | 13.2854000035069, 23.6170833667187, 26.4247709642857,... |
remittances_paid_usd |
remittances_paid_usd | float | 67% | 22 | 2520630000.0, 4081075682.46125, 4232697026.26875,... |
| 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, 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 | 29871, 36, 25, 4, 3 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 6 | 99.7695, 0.1202, 0.0835, 0.0134, 0.01 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 4 | 14864, 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 | 99.9792 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 14885 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 67277 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 24340 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 67263 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 14 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Mon, 07 Sep 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-09-07 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 12840 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 3616 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 19199 |
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 | 4183 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 1540 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 22145 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 8304 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 4040 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1784 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 4518 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 1769 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 203 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 43 |
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, LBN, LBN, LBN, LBN |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_ufi |
gns_ufi | integer | 0% | 42 | 9237527, 9237528, -801547, -798017, -800020 |
admin_designation |
admin_designation | string | 0% | 3 | ADM1, ADM1, ADM1, ADM1, ADM1 |
gns_bgn_name |
gns_bgn_name | string | 0% | 42 | Aakkâr, Baalbek-Hermel, Beyrouth, Béqaa, Liban-Nord |
gns_local_name |
gns_local_name | string | 19% | 34 | محافظة عكار, محافظة بعلبك - الهرمل, محافظة بيروت, محافظة... |
iso_3166_2 |
iso_3166_2 | string | 0% | 8 | LB-AK, LB-BH, LB-BA, LB-BI, LB-AS |
parent_code |
parent_code | string | 0% | 9 | LBN, LBN, LBN, LBN, LBN |
gns_prominence_band |
gns_prominence_band | integer | 0% | 5 | 7, 7, 5, 7, 7 |
latitude |
latitude | float | 0% | 41 | 34.533333, 34.208333, 33.883333, 33.666667, 34.333333 |
longitude |
longitude | float | 0% | 39 | 36.166667, 36.3, 35.5, 35.833333, 35.916667 |
gns_mgrs |
gns_mgrs | string | 0% | 41 | 37SBU3995624940, 37SBT5123788553, 36SYC3121352034,... |
name_variant_count |
name_variant_count | integer | 0% | 6 | 4, 4, 5, 6, 6 |
| 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_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_country_code_text |
Internet country code text | string | 0% | 1 | .lb |
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 |
|---|---|---|---|---|---|---|
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 |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | OD |
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 |
|---|---|---|---|---|---|---|
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% | - | - |
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 |
country_codes |
Country codes | string | 0% | 6 | ['IL', 'JO', 'LB', 'PS', 'SY'], ['AE', 'IL', 'IQ', 'JO',... |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | EA017:3; EA018:1; EA019:1; EA020:1; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:6; EA007:8; EA008:1; EA009:1; EA023:12; EA025:15 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA001:0; EA002:0; EA003:1; EA004:2; EA005:7; EA028:5;... |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA032:3; EA033:4 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:4; EA112:8 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA010:8; EA011:1; EA012:8; EA013:2; EA014:6 |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 1 | EA030:7; EA031:8 |
| 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 |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
| 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 |
| 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 |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 0% | 1 | 3 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 0% | 1 | 4 |
religion_high_gods |
religion_high_gods | integer | 0% | 1 | 4 |
trance_states |
trance_states | integer | 0% | 1 | 8 |
settlement_patterns |
settlement_patterns | integer | 0% | 1 | 7 |
mean_size_of_local_communities |
mean_size_of_local_communities | integer | 0% | 1 | 8 |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 1 | 8 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 1 | 1 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 1 | 8 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 1 | 2 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 1 | 6 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 1 | 3 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 1 | 1 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 1 | 1 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 1 | 1 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 1 | 9 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 0% | 1 | 2 |
descent_major_type |
descent_major_type | integer | 0% | 1 | 1 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | LBN |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 0.0 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.0 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.0 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 10230.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.175 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 1.55337067503843 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 9.0 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 33.3497734069824 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 5.5 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 2.5 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 4.6 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 8.0 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 6.9 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 8.5 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 6.8 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 5.4 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 0.2 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 3.3 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 2.5 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 6.5 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 0.0 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 1.7 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 1.9 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 0.5 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 1.5 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 0.0 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 0.1 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 7.5 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 7.3 |
| +234 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 |
|---|---|---|---|
| Arabic (ara) | 29,871 | 99.8% | Arabic |
| Hebrew (heb) | 36 | 0.1% | Hebrew |
| English (eng) | 25 | 0.1% | — |
| + 3 further languages (8 names, each under 0.05%) | |||
24,340 distinct features ·
6 languages ·
2 scripts ·
14,885 names in non-Roman script ·
14 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Mon, 07 Sep 2026.
* Shares are of the
29,940 names that carry a language
code; the remaining 37,337 of
67,277 are unattributed, so these
percentages do not divide into the headline count.
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 |
|---|---|---|
| Glottolog Language Catalog | academic | bulk_download |
| INFORM Risk Index (EC-JRC) | international_organization | api |
| commercial | bulk_download | |
| World Bank Open Data | international_organization | api |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | 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.