| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR, LBR, LBR, LBR, LBR |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 16 | Total, Bomi, Bong, Gbarpolu, Grand Bassa |
human_development_index |
Human development index | float | SEL | 0% | 75 | 0.445, 0.401, 0.363, 0.383, 0.374 |
health_index |
Health index | float | SEL | 0% | 70 | 0.468, 0.431, 0.46, 0.449, 0.45 |
education_index |
Education index | float | SEL | 0% | 92 | 0.468, 0.413, 0.301, 0.364, 0.331 |
income_index |
Income index | float | SEL | 0% | 62 | 0.402, 0.361, 0.346, 0.343, 0.353 |
life_expectancy |
Life expectancy | float | SEL | 0% | 96 | 50.41, 48.02, 49.89, 49.22, 49.23 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 94 | 7.021, 4.976, 3.875, 4.504, 4.275 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 7 | 1999, 1999, 1999, 1999, 1999 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 15 | LR01, LR02, LR03, LR04, LR05 |
region_name |
Region name | string | SEL | 0% | 15 | Bomi, Bong, Gbarpolu, Grand Bassa, Grand Cape Mount |
F_TL |
Female population | integer | SEL | 0% | 15 | 53919, 240829, 51695, 145051, 80848 |
M_TL |
Male population | integer | SEL | 0% | 15 | 56222, 235454, 57486, 145223, 86884 |
T_TL |
Total population | integer | SEL | 0% | 15 | 110141, 476283, 109183, 290274, 167731 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Liberia, Liberia, Liberia, Liberia, Liberia |
T_00_04 |
Total population age 0-4 | integer | 0% | 15 | 17241, 74573, 17096, 45451, 26262 |
T_05_09 |
Total population age 5-9 | integer | 0% | 15 | 15594, 67429, 15459, 41099, 23744 |
T_10_14 |
Total population age 10-14 | integer | 0% | 15 | 13840, 59846, 13720, 36473, 21075 |
T_15_19 |
Total population age 15-19 | integer | 0% | 15 | 11639, 50347, 11539, 30679, 17728 |
T_20_24 |
Total population age 20-24 | integer | 0% | 15 | 9546, 41268, 9461, 25147, 14534 |
T_25_29 |
Total population age 25-29 | integer | 0% | 15 | 8425, 36433, 8353, 22202, 12833 |
T_30_34 |
Total population age 30-34 | integer | 0% | 15 | 7384, 31940, 7321, 19467, 11250 |
T_35_39 |
Total population age 35-39 | integer | 0% | 15 | 6155, 26607, 6102, 16216, 9373 |
T_40_44 |
Total population age 40-44 | integer | 0% | 15 | 5037, 21784, 4993, 13271, 7671 |
T_45_49 |
Total population age 45-49 | integer | 0% | 15 | 4057, 17547, 4023, 10689, 6182 |
T_50_54 |
Total population age 50-54 | integer | 0% | 15 | 3276, 14174, 3248, 8637, 4990 |
T_55_59 |
Total population age 55-59 | integer | 0% | 15 | 2609, 11282, 2588, 6877, 3972 |
T_60_64 |
Total population age 60-64 | integer | 0% | 15 | 1994, 8615, 1975, 5249, 3031 |
T_65_69 |
Total population age 65-69 | integer | 0% | 15 | 1397, 6035, 1383, 3680, 2125 |
T_70_74 |
Total population age 70-74 | integer | 0% | 15 | 1044, 4510, 1033, 2744, 1588 |
T_75_79 |
Total population age 75-79 | integer | 0% | 15 | 579, 2514, 577, 1524, 887 |
T_80Plus |
T_80Plus | integer | 0% | 15 | 309, 1333, 305, 806, 475 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | LR0101, LR0102, LR0103, LR0104, LR0201 |
region_name |
Region name | string | SEL | 0% | 99 | Dowein, Klay, Senjeh, Suehn Mecca, Boinsen |
F_TL |
Female population | integer | SEL | 0% | 100 | 8641, 15075, 19097, 11106, 5955 |
M_TL |
Male population | integer | SEL | 0% | 100 | 8627, 15560, 20219, 11816, 5772 |
T_TL |
Total population | integer | SEL | 0% | 100 | 17269, 30635, 39315, 22922, 11727 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Liberia, Liberia, Liberia, Liberia, Liberia |
T_00_04 |
Total population age 0-4 | integer | 0% | 100 | 2703, 4795, 6155, 3588, 1836 |
T_05_09 |
Total population age 5-9 | integer | 0% | 100 | 2445, 4337, 5566, 3246, 1660 |
T_10_14 |
Total population age 10-14 | integer | 0% | 100 | 2170, 3849, 4940, 2881, 1473 |
T_15_19 |
Total population age 15-19 | integer | 0% | 100 | 1823, 3237, 4156, 2423, 1240 |
T_20_24 |
Total population age 20-24 | integer | 0% | 100 | 1498, 2656, 3406, 1986, 1016 |
T_25_29 |
Total population age 25-29 | integer | 0% | 99 | 1322, 2344, 3007, 1752, 897 |
T_30_34 |
Total population age 30-34 | integer | 0% | 100 | 1158, 2053, 2636, 1537, 786 |
T_35_39 |
Total population age 35-39 | integer | 0% | 97 | 966, 1711, 2197, 1281, 655 |
T_40_44 |
Total population age 40-44 | integer | 0% | 99 | 789, 1401, 1799, 1048, 536 |
T_45_49 |
Total population age 45-49 | integer | 0% | 97 | 636, 1130, 1447, 844, 432 |
T_50_54 |
Total population age 50-54 | integer | 0% | 97 | 513, 912, 1169, 682, 349 |
T_55_59 |
Total population age 55-59 | integer | 0% | 98 | 409, 726, 931, 543, 277 |
T_60_64 |
Total population age 60-64 | integer | 0% | 96 | 313, 555, 712, 414, 212 |
T_65_69 |
Total population age 65-69 | integer | 0% | 93 | 220, 388, 498, 291, 149 |
T_70_74 |
Total population age 70-74 | integer | 0% | 96 | 162, 291, 373, 218, 110 |
T_75_79 |
Total population age 75-79 | integer | 0% | 88 | 91, 161, 207, 120, 62 |
T_80Plus |
T_80Plus | integer | 0% | 80 | 48, 86, 110, 65, 32 |
| 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 | LR, LR, LR, LR, LR |
population_count |
Population count | float | SEL | 2% | 65 | 1139522.0, 1167717.0, 1197039.0, 1227414.0, 1258745.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 38.073, 38.104, 38.167, 38.309, 38.451 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 167.171498224694, 157.504686495101, 160.280325035358,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 97% | 2 | 32.1100006103516, 59.4035765513495 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 312.5, 313.0, 312.7, 312.0, 310.5 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 63.8, 54.1, 50.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Liberia, Liberia, Liberia, Liberia, Liberia |
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 | LR, LR, LR, LR, LR |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 38.073, 38.104, 38.167, 38.309, 38.451 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 8% | 61 | 105.2, 104.1, 102.5, 100.5, 98.2 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 312.5, 313.0, 312.7, 312.0, 310.5 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 1749.0, 1678.0, 1655.0, 1647.0, 1633.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.391, 6.446, 6.504, 6.556, 6.585 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 48.356, 48.696, 49.012, 49.227, 49.26 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 25.791, 25.857, 25.889, 25.838, 25.751 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 71% | 17 | 0.077, 0.08, 0.079, 0.08, 0.106 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 88% | 8 | 1.322425365448, 1.57690000534058, 1.64699995517731, 0.7, 0.8 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 61% | 20 | 52.0, 48.0, 44.0, 39.0, 35.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 2.69215393, 2.15581036, 2.16462922, 2.51847482, 5.90509653 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Liberia, Liberia, Liberia, Liberia, Liberia |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 60 | 42.4, 48.0, 20.0, 45.4, 28.1 |
men_who_are_literate |
Men who are literate | float | CCL | 27% | 45 | 69.5, 65.7, 53.4, 67.2, 55.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Liberia, Liberia, Liberia, Liberia, Liberia |
survey_year |
survey_year | integer | 0% | 6 | 2013, 2019, 2013, 2019, 2013 |
region |
region | string | 0% | 21 | ..Bomi, ..Bomi, ..Bong, ..Bong, ..Gbarpolu |
survey_id |
survey_id | string | 0% | 6 | LB2013DHS, LB2019DHS, LB2013DHS, LB2019DHS, LB2013DHS |
survey_type |
survey_type | string | 0% | 2 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 9% | 56 | 22.6, 31.7, 18.3, 24.9, 26.2 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 9% | 38 | 83.0, 53.0, 57.0, 53.0, 81.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 9% | 46 | 143.0, 84.0, 118.0, 80.0, 126.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 9% | 54 | 72.7, 56.8, 50.4, 53.2, 52.2 |
children_underweight |
Children underweight | float | CCL | 25% | 44 | 19.7, 14.2, 17.4, 9.3, 10.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Liberia, Liberia, Liberia, Liberia, Liberia |
survey_year |
survey_year | integer | 0% | 6 | 2013, 2019, 2013, 2019, 2013 |
region |
region | string | 0% | 22 | ..Bomi, ..Bomi, ..Bong, ..Bong, ..Gbarpolu |
survey_id |
survey_id | string | 0% | 6 | LB2013DHS, LB2019DHS, LB2013DHS, LB2019DHS, LB2013DHS |
survey_type |
survey_type | string | 0% | 2 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 40 | band1352, barc1235, cent2041, daho1238, dann1241 |
name |
Name | string | CCL | 0% | 40 | Bandi, Barclayville Grebo, Central Grebo, Daho-Doo, Dan |
iso639_3 |
Iso639 3 | string | CCL | 0% | 40 | bza, gry, grv, das, daf |
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% | 6 | mand1469, krua1234, krua1234, krua1234, mand1469 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 27 | band1351, barc1236, gbol1236, kono1271, dant1235 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 9 | ['GN', 'LR', 'SL'], ['LR'], ['LR'], ['CI', 'LR'], ['CI',... |
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% | 12 | 6, 2, 5, 0, 29 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 3% | 39 | 8.207, 4.67843, 4.88038, 5.72458, 7.22812 |
longitude |
longitude | float | 3% | 39 | -10.1886, -8.09378, -7.88667, -7.3558, -8.24535 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Liberia |
admin_code |
Admin code | string | SEL | 0% | 1 | 59954213B27899056136822 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 95844.8232 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 5321547 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 55.52 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR, LBR, LBR, LBR, LBR |
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% | 15 | Montserrado, Nimba, Bong, Lofa, Grand Bassa |
admin_code |
Admin code | string | SEL | 0% | 15 | 1627179B44982627598129, 1627179B84371361469065,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 15 | 1856.8083, 11426.4122, 8703.3136, 9871.6876, 7849.9123 |
pop_2024 |
Population count | integer | SEL | 0% | 15 | 1644493, 725897, 524506, 432111, 344153 |
pop_density_2024 |
Population density | float | SEL | 0% | 15 | 885.66, 63.53, 60.27, 43.77, 43.84 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR, LBR, LBR, LBR, LBR |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 9 | Monrovia, Buchanan, Ganta, Kakata, Gbarnga |
admin_code |
Admin code | integer | SEL | 0% | 9 | 50, 676, 1055, 228, 935 |
area_sqkm |
Area sqkm | float | SEL | 0% | 9 | 300.0274, 18.8755, 17.8833, 14.9021, 18.8766 |
pop_2024 |
Population count | integer | SEL | 0% | 9 | 1627197, 68748, 54768, 50399, 49705 |
pop_density_2024 |
Population density | float | SEL | 0% | 9 | 5423.49, 3642.18, 3062.52, 3382.01, 2633.15 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 9 | 2049818, 79368, 72447, 78566, 77865 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 9 | 0.794, 0.866, 0.756, 0.641, 0.638 |
| 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 | 2022.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 32.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .lr |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 24.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
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 | 6,000 (2021 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 6000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 1.72 million (2022 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 1.72 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 32 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 8 private and 1 state-owned TV station; satellite TV... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 8.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 24% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 15,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 15000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/li.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 1700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 4.75 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 50.9 |
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
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 | low-income West African economy; food scarcity,... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $9.308 billion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 9.308 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $8.882 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 | 8.882 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $8.484 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 | 8.484 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 4.8% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 4.7% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 4.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.8% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.8 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $1,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $1,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 1600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $1,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 1600.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $4.75 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 10.1% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 10.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 7.6% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 7.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 7.8% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 7.8 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +102 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 | 31.8 |
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
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 | 31.8% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 53.7% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 53.7 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 14.9% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 14.9 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 199,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 199000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 215.96 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 215.96 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 179.222 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 179.222 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 66.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 66.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 1.3% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 1.3 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 32.4% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 32.4 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.3% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.3 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 75,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 75000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 5,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 5000.0 |
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 | 1.822 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 | 1.822 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/li.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 20.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 66.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 53.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.41 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 564500.0 |
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
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 | tropical rainforest deforestation; soil erosion; loss of... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Environmental Modification, Marine Life Conservation |
climate_text |
climate_text | string | 0% | 1 | tropical; hot, humid; dry winters with hot days and cool... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 20% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 12.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 12.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 66.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 13.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 13.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 53.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.41% annual rate of change (2015-20 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 671,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 671000.0 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 4 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 | 4.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 671,000 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 | 671000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 41.9 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 41.9 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 564,500 tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 7.9% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 7.9 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 80.2 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 80.2 |
| +8 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
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 | Liberian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Liberian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Kpelle 20.2%, Bassa 13.6%, Grebo 9.9%, Gio 7.9%, Mano... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 20.2 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/li.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 111369.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 96320.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 15049.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 1667.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 579.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1447.0 |
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 | 20.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 66.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 30.0 |
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Western Africa, bordering the North Atlantic Ocean,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 6 30 N, 9 30 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 6.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 111,369 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 96,320 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 15,049 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly larger than Virginia |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 1,667 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Guinea 590 km; Cote d'Ivoire 778 km; Sierra Leone 299 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 590.0 |
coastline_text |
coastline_text | string | 0% | 1 | 579 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical; hot, humid; dry winters with hot days and cool... |
terrain_text |
terrain_text | string | 0% | 1 | mostly flat to rolling coastal plains rising to rolling... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Wuteve 1,447 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Atlantic Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 243 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 243.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | iron ore, timber, diamonds, gold, hydropower |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 20% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.2 |
| +14 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 | LBR |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Republic of Liberia |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Liberia |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name derives from the Latin word liber, meaning "free;"... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Monrovia |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 6 18 N, 10 48 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 6.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC 0 (5 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 0.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | named after James MONROE (1758-1831), the fifth... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1758.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 15 counties; Bomi, Bong, Gbarpolu, Grand Bassa, Grand... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 15.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of common law, based on Anglo-American law... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1847 (at independence); latest drafted 19... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1847.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by agreement of at least two thirds of both... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 10000.0 |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Liberia |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 2 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 2.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Joseph BOAKAI (since 22 January 2024) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 22.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | President Joseph BOAKAI (since 22 January 2024) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 22.0 |
| +88 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 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | With 28 ethnic groups and languages, Liberia is one of... |
background_numeric |
background_numeric | float | 0% | 1 | 28.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/li.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | English 20% (official) and 27 indigenous languages,... |
languages_numeric |
languages_numeric | float | 0% | 1 | 20.0 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/li.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
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 | 1,854 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 1854.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — the government did not demonstrate... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/li.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Armed Forces of Liberia (AFL): Army, Liberian Coast... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 0.7% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.3% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.8% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.8 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 2,000 active Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 2000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military has a limited inventory; in recent years,... |
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 years of age for men and women for voluntary military... |
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 Armed Forces of Liberia (AFL) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2007.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/li.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 5563541.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 2774006.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 2789535.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 38.9 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 57.9 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.2 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 72.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 66.4 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.6 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 20.1 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.27 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 31.72 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 8.17 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.84 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 53.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.41 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
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 | 628.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 55.2 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 61.6 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.84 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.89 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.18 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.6 |
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
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 | 5,563,541 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 2,774,006 |
population_female_text |
population_female_text | string | 0% | 1 | 2,789,535 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 38.9% (male 1,064,100/female 1,052,556) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 57.9% (male 1,566,263/female 1,579,835) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.2% (2024 est.) (male 80,961/female 93,534) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 72 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 66.4 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.6 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 18 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 18.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 20.1 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 19.8 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 19.8 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 20 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 20.0 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.27% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 31.72 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 8.17 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.84 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | more than half of the population lives in urban areas,... |
population_distribution_numeric |
population_distribution_numeric | float | 0% | 1 | 80.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 53.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.41% annual rate of change (2015-20 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.678 million MONROVIA (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.678 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.01 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.01 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.99 male(s)/female |
| +83 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 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 84.9 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 12.0 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.1 |
composition_ethnicity_primary_label_synth |
Kpelle | string | CCL | 0% | - | Kpelle |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Christian 84.9%, Muslim 12%, Traditional 0.5%, other... |
religions_numeric |
religions_numeric | float | 0% | 1 | 84.9 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/li.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_traditional_pct_synth |
Traditional | numeric | 0% | - | 0.5 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 2.6 |
composition_ethnicity_kpelle_pct_synth |
Kpelle | numeric | 0% | - | 20.2 |
composition_ethnicity_bassa_pct_synth |
Bassa | numeric | 0% | - | 13.6 |
composition_ethnicity_grebo_pct_synth |
Grebo | numeric | 0% | - | 9.9 |
composition_ethnicity_gio_pct_synth |
Gio | numeric | 0% | - | 7.9 |
composition_ethnicity_mano_pct_synth |
Mano | numeric | 0% | - | 7.2 |
composition_ethnicity_kru_pct_synth |
Kru | numeric | 0% | - | 5.5 |
composition_ethnicity_lorma_pct_synth |
Lorma | numeric | 0% | - | 4.8 |
composition_ethnicity_krahn_pct_synth |
Krahn | numeric | 0% | - | 4.5 |
composition_ethnicity_kissi_pct_synth |
Kissi | numeric | 0% | - | - |
composition_ethnicity_mandingo_pct_synth |
Mandingo | numeric | 0% | - | 4.2 |
composition_ethnicity_vai_pct_synth |
Vai | numeric | 0% | - | 3.8 |
composition_ethnicity_gola_pct_synth |
Gola | numeric | 0% | - | 3.8 |
composition_ethnicity_gbandi_pct_synth |
Gbandi | numeric | 0% | - | 2.9 |
composition_ethnicity_mende_pct_synth |
Mende | numeric | 0% | - | 1.7 |
composition_ethnicity_sapo_pct_synth |
Sapo | numeric | 0% | - | 1.0 |
composition_ethnicity_belle_pct_synth |
Belle | numeric | 0% | - | 0.7 |
composition_ethnicity_dey_pct_synth |
Dey | numeric | 0% | - | 0.3 |
composition_ethnicity_other_liberian_ethnic_group_pct_synth |
other Liberian ethnic group | numeric | 0% | - | 0.4 |
composition_ethnicity_other_african_pct_synth |
other African | numeric | 0% | - | 3.0 |
composition_ethnicity_non_african_pct_synth |
non-African | numeric | 0% | - | 0.2 |
composition_ethnicity_primary_share_pct_synth |
Kpelle | numeric | 0% | - | 20.2 |
| 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 | A8 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 19.0 |
country_code |
Country code | string | SEL | 0% | 1 | LBR |
country_name |
Country name | string | SEL | 0% | 1 | Liberia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 8.0 |
airports_text |
airports_text | string | 0% | 1 | 19 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 429 km (2008) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 429.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 345 km (2008) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 345.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 84 km (2008) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 84.0 |
railways_note |
railways_note | string | 0% | 1 | note: most sections of the railways inoperable due to... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 4,821 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 4821.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 1,895, container ship 1,013, general cargo... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1895.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 4 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 4.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 3 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 3.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Buchanan, Cape Palmas, Greenville, Monrovia |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/li.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 9 | Monrovia, Buchanan, Kakata, Gbarnga, Ganta |
country_code |
Country code | string | SEL | 0% | 1 | LBR, LBR, LBR, LBR, LBR |
population |
Population count | integer | SEL | 0% | 9 | 2049818, 79368, 78566, 77865, 72447 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 9 | 50, 676, 228, 935, 1055 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Liberia, Liberia, Liberia, Liberia, Liberia |
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 | LBR, LBR, LBR, LBR, LBR |
society_id |
Society id | string | CCL | 0% | 7 | Af15, Af47, Af48, Af49, Af54 |
society_name |
Society name | string | CCL | 0% | 7 | Kpelle, Krahn, Kru, Sapo, Gbande |
language_glottocode |
Language glottocode | string | CCL | 0% | 7 | libe1247, west2488, klao1243, sapo1251, band1352 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 5 | EA001:1; EA002:1; EA003:1; EA004:1; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 4 | EA006:1; EA007:2; EA008:4; EA009:6; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 7 | EA028:3; EA029:6; EA030:7; EA031:4; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA033:2; EA034:2; EA035:8, EA033:2; EA034:NA; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:2; EA112:6, EA034:NA; EA112:NA, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 2 | EA011:1; EA012:8; EA013:3, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Liberia, Liberia, Liberia, Liberia, Liberia |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 5 | 7.0, 6.0, 5.0, 6.0, 8.0 |
longitude |
longitude | float | 0% | 5 | -9.0, -8.0, -9.0, -9.0, -10.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR, LBR, LBR, LBR, LBR |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 6 | Gio, Mano, Kru, Krahn (Guere), Americo-Liberians |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | JUNIOR PARTNER, JUNIOR PARTNER, SENIOR PARTNER,... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 6 | 0.08, 0.07, 0.06, 0.05, 0.02 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 6 | 45003020, 45003080, 45003060, 45003050, 45001000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
economic_conditions |
Economic conditions | integer | CCL | 0% | 1 | 1 |
living_conditions |
Living conditions | integer | CCL | 0% | 1 | 1 |
employment_situation |
Employment situation | integer | CCL | 0% | 1 | 1 |
food_insecurity |
Food insecurity | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
women_equal_rights |
Women equal rights | integer | CCL | 0% | 1 | 1 |
women_political_leaders |
Women political leaders | integer | CCL | 0% | 1 | 1 |
women_land_rights |
Women land rights | integer | CCL | 0% | 1 | 1 |
domestic_violence_justified |
Domestic violence justified | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
trust_president |
Trust president | integer | CCL | 0% | 1 | 1 |
trust_parliament |
Trust parliament | integer | CCL | 0% | 1 | 1 |
trust_courts |
Trust courts | integer | CCL | 0% | 1 | 1 |
trust_police |
Trust police | integer | CCL | 0% | 1 | 1 |
trust_army |
Trust army | integer | CCL | 0% | 1 | 1 |
corruption_perception |
Corruption perception | integer | CCL | 0% | 1 | 1 |
democracy_satisfaction |
Democracy satisfaction | integer | CCL | 0% | 1 | 1 |
democracy_preference |
Democracy preference | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
emigration_considered |
Emigration considered | integer | CCL | 0% | 1 | 1 |
immigration_attitude |
Immigration attitude | integer | CCL | 0% | 1 | 1 |
foreign_workers_attitude |
Foreign workers attitude | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LBR |
trust_relatives |
Trust relatives | integer | CCL | 0% | 1 | 1 |
trust_neighbors |
Trust neighbors | integer | CCL | 0% | 1 | 1 |
trust_other_ethnic |
Trust other ethnic | integer | CCL | 0% | 1 | 1 |
trust_other_religion |
Trust other religion | integer | CCL | 0% | 1 | 1 |
national_identity_vs_ethnic |
National identity vs ethnic | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | LBR, LBR, LBR, LBR |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | eng, fra, spa, deu |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | English, French, Spanish, German |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 1281, 4, 1, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 99.5338, 0.3108, 0.0777, 0.0777 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | LBR |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Liberia |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 100.0 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 14249 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 8650 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 14249 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 0 |
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 | 10427 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 6199 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 1509 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 863 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 632 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 396 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1102 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 843 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 503 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 298 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 22 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 13 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 51 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 35 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 3 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| English (eng) | 1,281 | 99.5% | — |
| French (fra) | 4 | 0.3% | — |
| Spanish (spa) | 1 | 0.1% | — |
| German (deu) | 1 | 0.1% | — |
8,650 distinct features ·
4 languages ·
0 scripts
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.