| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLE, SLE, SLE, SLE, SLE |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 15 | Total, Bo, Bombali, Bonthe, Kailahun |
human_development_index |
Human development index | float | SEL | 0% | 67 | 0.345, 0.336, 0.353, 0.297, 0.324 |
health_index |
Health index | float | SEL | 0% | 67 | 0.365, 0.344, 0.409, 0.35, 0.419 |
education_index |
Education index | float | SEL | 0% | 78 | 0.259, 0.258, 0.261, 0.189, 0.208 |
income_index |
Income index | float | SEL | 0% | 73 | 0.434, 0.426, 0.414, 0.398, 0.39 |
life_expectancy |
Life expectancy | float | SEL | 0% | 92 | 43.72, 42.39, 46.58, 42.76, 47.2 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 3.885, 3.632, 3.294, 2.466, 2.601 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 7 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | SL, SL, SL, SL, SL |
region_name |
Region name | string | SEL | 0% | 14 | Kailahun, Kenema, Kono, Bombali, Kambia |
M_TL |
Male population | integer | SEL | 0% | 14 | 278164, 321416, 269802, 316698, 176709 |
F_TL |
Female population | integer | SEL | 0% | 14 | 283724, 329616, 270438, 330765, 192071 |
T_TL |
Total population | integer | SEL | 0% | 14 | 561888, 651032, 540240, 647463, 368780 |
| 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 | string | 100% | - | - |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Sierra Leone , Sierra Leone , Sierra Leone , Sierra... |
ADM1_PCODE_ISO2 |
ADM1_PCODE_ISO2 | string | 0% | 4 | SL01, SL01, SL01, SL02, SL02 |
ADM1_PCODE_ISO3 |
ADM1_PCODE_ISO3 | string | 0% | 4 | SLE001, SLE001, SLE001, SLE002, SLE002 |
ADM2_PCODE_ISO2 |
ADM2_PCODE_ISO2 | string | 0% | 14 | SL0101, SL0102, SL0103, SL0201, SL0202 |
ADM2_PCODE_ISO3 |
ADM2_PCODE_ISO3 | string | 0% | 14 | SLE001001, SLE001002, SLE001003, SLE002001, SLE002002 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 4 | SL01, SL02, SL03, SL04 |
region_name |
Region name | string | SEL | 0% | 4 | Eastern, Northern, Southern, Western |
F_TL |
Female population | integer | SEL | 0% | 4 | 908062, 1365623, 782861, 836964 |
M_TL |
Male population | integer | SEL | 0% | 4 | 923097, 1430894, 824122, 836964 |
T_TL |
Total population | integer | SEL | 0% | 4 | 1831156, 2796517, 1606984, 1672681 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2020, 2020, 2020, 2020 |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Sierra Leone, Sierra Leone, Sierra Leone, Sierra Leone |
T_00_04 |
Total population age 0-4 | integer | 0% | 4 | 242360, 370129, 212693, 221389 |
T_05_09 |
Total population age 5-9 | integer | 0% | 4 | 286346, 437297, 251286, 261560 |
T_10_14 |
Total population age 10-14 | integer | 0% | 4 | 218878, 334280, 192086, 199942 |
T_15_19 |
Total population age 15-19 | integer | 0% | 4 | 225572, 344490, 197960, 206049 |
T_20_24 |
Total population age 20-24 | integer | 0% | 4 | 170991, 261128, 150057, 156193 |
T_25_29 |
Total population age 25-29 | integer | 0% | 4 | 156804, 239476, 137610, 143232 |
T_30_34 |
Total population age 30-34 | integer | 0% | 4 | 111998, 171047, 98281, 102308 |
T_35_39 |
Total population age 35-39 | integer | 0% | 4 | 108695, 166003, 95395, 99290 |
T_40_44 |
Total population age 40-44 | integer | 0% | 4 | 77307, 118062, 67843, 70623 |
T_45_49 |
Total population age 45-49 | integer | 0% | 4 | 62650, 95673, 54978, 57228 |
T_50_54 |
Total population age 50-54 | integer | 0% | 4 | 48286, 73740, 42380, 44109 |
T_55_59 |
Total population age 55-59 | integer | 0% | 4 | 28560, 43612, 25067, 26084 |
T_60_64 |
Total population age 60-64 | integer | 0% | 4 | 29077, 44414, 25526, 26566 |
T_65_69 |
Total population age 65-69 | integer | 0% | 4 | 19033, 29076, 16709, 17388 |
T_70_74 |
Total population age 70-74 | integer | 0% | 4 | 16921, 25827, 14839, 15452 |
T_75_79 |
Total population age 75-79 | integer | 0% | 4 | 10261, 15664, 9003, 9374 |
T_80Plus |
T_80Plus | integer | 0% | 4 | 17401, 26583, 15270, 15898 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | SL030101, SL030102, SL030103, SL030191, SL030104 |
region_name |
Region name | string | SEL | 0% | 100 | Badjia, Bagbo, Bagbwe(Bagbe), Bo Town, Boama |
F_TL |
Female population | integer | SEL | 0% | 100 | 4440, 14275, 11645, 93653, 25066 |
M_TL |
Male population | integer | SEL | 0% | 99 | 4630, 14585, 11687, 100759, 26037 |
T_TL |
Total population | integer | SEL | 0% | 100 | 9070, 28859, 23331, 194412, 51104 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
year |
Reference year | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Sierra Leone, Sierra Leone, Sierra Leone, Sierra Leone,... |
T_00_04 |
Total population age 0-4 | integer | 0% | 100 | 1201, 3820, 3088, 25732, 6763 |
T_05_09 |
Total population age 5-9 | integer | 0% | 99 | 1418, 4513, 3648, 30401, 7991 |
T_10_14 |
Total population age 10-14 | integer | 0% | 98 | 1084, 3450, 2788, 23239, 6109 |
T_15_19 |
Total population age 15-19 | integer | 0% | 99 | 1117, 3556, 2874, 23949, 6295 |
T_20_24 |
Total population age 20-24 | integer | 0% | 99 | 847, 2695, 2179, 18154, 4772 |
T_25_29 |
Total population age 25-29 | integer | 0% | 99 | 777, 2471, 1998, 16648, 4376 |
T_30_34 |
Total population age 30-34 | integer | 0% | 99 | 555, 1765, 1427, 11891, 3125 |
T_35_39 |
Total population age 35-39 | integer | 0% | 98 | 539, 1713, 1385, 11541, 3034 |
T_40_44 |
Total population age 40-44 | integer | 0% | 98 | 382, 1219, 984, 8208, 2157 |
T_45_49 |
Total population age 45-49 | integer | 0% | 98 | 310, 988, 798, 6652, 1748 |
T_50_54 |
Total population age 50-54 | integer | 0% | 98 | 240, 762, 615, 5127, 1348 |
T_55_59 |
Total population age 55-59 | integer | 0% | 97 | 142, 450, 363, 3032, 797 |
T_60_64 |
Total population age 60-64 | integer | 0% | 97 | 144, 458, 370, 3087, 812 |
T_65_69 |
Total population age 65-69 | integer | 0% | 93 | 95, 300, 243, 2021, 531 |
T_70_74 |
Total population age 70-74 | integer | 0% | 94 | 84, 266, 215, 1796, 472 |
T_75_79 |
Total population age 75-79 | integer | 0% | 88 | 51, 162, 130, 1089, 287 |
T_80Plus |
T_80Plus | integer | 0% | 95 | 86, 274, 222, 1847, 486 |
| 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 | SL, SL, SL, SL, SL |
population_count |
Population count | float | SEL | 2% | 65 | 2268356.0, 2304227.0, 2342242.0, 2382258.0, 2424390.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 33.09, 33.633, 34.155, 34.705, 35.298 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 141.957418300764, 142.275127657602, 146.32194986298,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 91% | 6 | 34.8300018310547, 44.3441779768036, 49.4000015258789,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 390.9, 385.2, 379.5, 373.9, 368.1 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 62.4, 56.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Sierra Leone, Sierra Leone, Sierra Leone, Sierra Leone,... |
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 | SL, SL, SL, SL, SL |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 33.09, 33.633, 34.155, 34.705, 35.298 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 47% | 35 | 52.4, 52.1, 51.9, 51.7, 51.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 390.9, 385.2, 379.5, 373.9, 368.1 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 1506.0, 1530.0, 1533.0, 1549.0, 1575.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 61 | 6.175, 6.205, 6.222, 6.261, 6.294 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 48.001, 48.123, 48.111, 48.206, 48.197 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 31.164, 30.754, 30.349, 29.917, 29.435 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 76% | 14 | 0.047, 0.059, 0.056, 0.054, 0.058 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 92% | 5 | 0.772869229316711, 0.925499975681305, 0.906899988651276,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 61% | 17 | 43.0, 44.0, 38.0, 53.0, 73.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 5.29086494, 5.22183514, 5.55388832, 5.06219816, 5.23798943 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Sierra Leone, Sierra Leone, Sierra Leone, Sierra Leone,... |
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% | 57 | 19.7, 19.7, 17.8, 35.9, 50.6 |
men_who_are_literate |
Men who are literate | float | CCL | 28% | 42 | 43.2, 41.7, 35.3, 58.4, 73.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Sierra Leone, Sierra Leone, Sierra Leone, Sierra Leone,... |
survey_year |
survey_year | integer | 0% | 4 | 2013, 2019, 2013, 2019, 2013 |
region |
region | string | 0% | 25 | ....Falaba, ....Falaba, ....Koinadugu, ....Koinadugu, ..Bo |
survey_id |
survey_id | string | 0% | 4 | SL2013DHS, SL2019DHS, SL2013DHS, SL2019DHS, SL2013DHS |
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 | 0% | 43 | 7.8, 13.2, 8.1, 17.3, 28.4 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 40 | 75.0, 51.0, 113.0, 60.0, 124.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 42 | 131.0, 84.0, 202.0, 110.0, 176.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 45 | 51.7, 49.8, 63.6, 49.5, 60.4 |
children_underweight |
Children underweight | float | CCL | 0% | 39 | 16.9, 14.8, 24.3, 17.5, 10.4 |
hiv_prevalence_pct |
Hiv prevalence percent | float | SEL | 0% | 19 | 0.9, 0.8, 1.0, 2.1, 3.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Sierra Leone, Sierra Leone, Sierra Leone, Sierra Leone,... |
survey_year |
survey_year | integer | 0% | 3 | 2013, 2019, 2013, 2019, 2013 |
region |
region | string | 0% | 23 | ....Falaba, ....Falaba, ....Koinadugu, ....Koinadugu, ..Bo |
survey_id |
survey_id | string | 0% | 3 | SL2013DHS, SL2019DHS, SL2013DHS, SL2019DHS, SL2013DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 26 | band1352, bomk1234, bull1247, dama1262, east2387 |
name |
Name | string | CCL | 0% | 26 | Bandi, Bom-Kim, Bullom So, Dama (Sierra Leone), East Limba |
iso639_3 |
Iso639 3 | string | CCL | 4% | 25 | bza, bmf, buy, lma, emk |
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% | 7 | mand1469, atla1278, atla1278, uncl1493, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 19 | band1351, nort3167, nort3167, uncl1493, limb1267 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 10 | ['GN', 'LR', 'SL'], ['SL'], ['GN', 'SL'], ['SL'], ['GN', 'SL'] |
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% | 9 | 6, 2, 2, 0, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 8% | 24 | 8.207, 9.27518, 9.0, 9.71107, 10.41 |
longitude |
longitude | float | 8% | 24 | -10.1886, -11.59696, -13.16, -11.7496, -9.3162 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLE |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Republic of Sierra Leone |
admin_code |
Admin code | string | SEL | 0% | 1 | 89611731B11651679765342 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 72608.7437 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 9027121 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 124.33 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLE, SLE, SLE, SLE |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 4 | Northern, Eastern, Western Area, Southern |
admin_code |
Admin code | string | SEL | 0% | 4 | 38320839B67217096191525, 38320839B88872338973316,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 4 | 36057.2654, 15682.7844, 686.3609, 20181.7555 |
pop_2024 |
Population count | integer | SEL | 0% | 4 | 3219804, 2112558, 1854662, 1840905 |
pop_density_2024 |
Population density | float | SEL | 0% | 4 | 89.3, 134.71, 2702.17, 91.22 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLE, SLE, SLE, SLE, SLE |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 12 | Freetown, Bo, Kenema, Makeni, Koidu Town |
admin_code |
Admin code | integer | SEL | 0% | 12 | 47, 1054, 1276, 808, 1379 |
area_sqkm |
Area sqkm | float | SEL | 0% | 12 | 203.6863, 45.7038, 35.7678, 31.7955, 25.8338 |
pop_2024 |
Population count | integer | SEL | 0% | 12 | 1793171, 277628, 270866, 213385, 173058 |
pop_density_2024 |
Population density | float | SEL | 0% | 12 | 8803.59, 6074.51, 7572.9, 6711.17, 6698.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 12 | 2150533, 376731, 262149, 212452, 149268 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 12 | 0.834, 0.737, 1.033, 1.004, 1.159 |
| 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 | 108.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .sl |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 21.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2021.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
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 | 0 (2021 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 0.0 |
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 | 8.93 million (2022 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 8.93 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 108 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 1 state-owned TV station; 3 private TV stations; 1... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 1.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 21% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 0 (2021 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 0.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2021 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sl.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 | 3100.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 7.548 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 56.8 |
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
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; primarily subsistent... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 1990.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $26.728 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 | 26.728 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $25.7 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 | 25.7 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $24.312 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 | 24.312 |
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% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.7% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.3% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.3 |
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 | $3,100 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $3,000 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 3000.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $2,900 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 2900.0 |
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 | $7.548 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 28.6% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 28.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 47.6% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 47.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 27.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 27.2 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +115 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 | 29.4 |
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
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 | 29.4% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 55.3% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 55.3 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 5% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 5.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 149,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 149000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 131.321 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 131.321 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 81.921 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 81.921 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 3.4% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 3.4 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 9.8% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 9.8 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 84.4% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 84.4 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 2.3% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 2.3 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 9,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 9000.0 |
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 | 2.301 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 | 2.301 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 54.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 34.3 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 44.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.02 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 610200.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
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 | overharvesting of timber, expansion of cattle grazing,... |
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 |
climate_text |
climate_text | string | 0% | 1 | tropical; hot, humid; summer rainy season (May to... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 54.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 21.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 21.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.3 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 30.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 30.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 34.3% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 11% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 11.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 44.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.02% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 1.342 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 1.342 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 1.342 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 | 1.342 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 45.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 45.4 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 610,200 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 | 9.7% (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 | 9.7 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 111 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 111.0 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 55.5 million cubic meters (2022 est.) |
total_water_withdrawal_industrial_numeric |
total_water_withdrawal_industrial_numeric | float | 0% | 1 | 55.5 |
total_water_withdrawal_agricultural_text |
total_water_withdrawal_agricultural_text | string | 0% | 1 | 45.7 million cubic meters (2022 est.) |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
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 | Sierra Leonean(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Sierra Leonean |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Temne 35.4%, Mende 30.8%, Limba 8.8%, Kono 4.3%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 35.4 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 71740.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 71620.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 120.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 1093.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 402.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1948.0 |
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 | 54.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 34.3 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 300.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
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 | 8 30 N, 11 30 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 8.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 71,740 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 71,620 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 120 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than South Carolina |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 1,093 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Guinea 794 km; Liberia 299 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 794.0 |
coastline_text |
coastline_text | string | 0% | 1 | 402 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; summer rainy season (May to... |
terrain_text |
terrain_text | string | 0% | 1 | coastal belt of mangrove swamps, wooded hill country,... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Loma Mansa (Bintimani) 1,948 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 | 279 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 279.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | diamonds, titanium ore, bauxite, iron ore, gold, chromite |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 54.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 21.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 21.9 |
| +16 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 | SLE |
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 Sierra Leone |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Sierra Leone |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republic of Sierra Leone |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Sierra Leone |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | Portuguese explorer Pedro de SINTRA is usually credited... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 1462.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Freetown |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 8 29 N, 13 14 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 8.0 |
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 | the name described the original settlement in 1781,... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1781.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 4 provinces and 1 area*; Eastern, Northern, North... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 4.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest effective 1 October 1991 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by Parliament; passage of amendments requires... |
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 | at least one parent or grandparent must be a citizen of... |
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 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Julius Maada BIO (since 27 June 2023) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 27.0 |
| +71 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 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Continuously populated for at least 2,500 years, the... |
background_numeric |
background_numeric | float | 0% | 1 | 2500.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | English (official, regular use limited to literate... |
languages_numeric |
languages_numeric | float | 0% | 1 | 10.0 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
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 | Republic of Sierra Leone Armed Forces (RSLAF): organized... |
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 | 0.5% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.5 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 0.6% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 0.6 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.6% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.6 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.3 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.3 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 10,000 active Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 10000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the RSLAF has a small inventory comprised of obsolescent... |
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 for voluntary military service for men and women;... |
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 RSLAF’s primary responsibilities are securing the... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2002.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 9331203.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 4620638.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 4710565.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 40.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 57.4 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 2.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 72.7 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 68.4 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 4.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 19.7 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.24 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 30.04 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 8.8 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 1.13 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 44.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.02 |
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 | 0.98 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 354.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 70.1 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 59.4 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.52 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.73 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.13 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 43.6 |
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
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 | 9,331,203 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 4,620,638 |
population_female_text |
population_female_text | string | 0% | 1 | 4,710,565 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 40.1% (male 1,843,606/female 1,812,304) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 57.4% (male 2,557,715/female 2,675,418) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 2.5% (2024 est.) (male 114,405/female 117,601) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 72.7 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 68.4 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 4.4 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 22.9 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 22.9 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 19.7 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 19 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 19.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 19.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 19.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.24% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 30.04 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 8.8 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 1.13 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population clusters are found in the lower elevations of... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 44.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.02% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.309 million FREETOWN (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.309 |
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 | 1.02 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.02 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.96 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.96 |
| +86 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 77.1 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 22.9 |
composition_ethnicity_primary_label_synth |
Temne | string | CCL | 0% | - | Temne |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 77.1%, Christian 22.9% (2019 est.) |
religions_numeric |
religions_numeric | float | 0% | 1 | 77.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sl.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_ethnicity_temne_pct_synth |
Temne | numeric | 0% | - | 35.4 |
composition_ethnicity_mende_pct_synth |
Mende | numeric | 0% | - | 30.8 |
composition_ethnicity_limba_pct_synth |
Limba | numeric | 0% | - | 8.8 |
composition_ethnicity_kono_pct_synth |
Kono | numeric | 0% | - | 4.3 |
composition_ethnicity_korankoh_pct_synth |
Korankoh | numeric | 0% | - | 4.0 |
composition_ethnicity_fullah_pct_synth |
Fullah | numeric | 0% | - | 3.8 |
composition_ethnicity_mandingo_pct_synth |
Mandingo | numeric | 0% | - | 2.8 |
composition_ethnicity_loko_pct_synth |
Loko | numeric | 0% | - | 2.0 |
composition_ethnicity_sherbro_pct_synth |
Sherbro | numeric | 0% | - | 1.9 |
composition_ethnicity_creole_pct_synth |
Creole | numeric | 0% | - | 1.2 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 5.0 |
composition_ethnicity_primary_share_pct_synth |
Temne | numeric | 0% | - | 35.4 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | 9L |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 8.0 |
country_code |
Country code | string | SEL | 0% | 1 | SLE |
country_name |
Country name | string | SEL | 0% | 1 | Sierra Leone |
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 | 9.0 |
airports_text |
airports_text | string | 0% | 1 | 8 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 3 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 3.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 584 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 584.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 33, container ship 8, general cargo 320,... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 33.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 3 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 3.0 |
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 | 2 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 2.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 2 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 2.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Bonthe, Freetown, Pepel |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/sl.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 12 | Freetown, Bo, Kenema, Makeni, Koidu Town |
country_code |
Country code | string | SEL | 0% | 1 | SLE, SLE, SLE, SLE, SLE |
population |
Population count | integer | SEL | 0% | 12 | 2150533, 376731, 262149, 212452, 149268 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 12 | 47, 1054, 1276, 808, 1379 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Sierra Leone, Sierra Leone, Sierra Leone, Sierra Leone,... |
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 | SLE |
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 | SLE |
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 | SLE |
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 | SLE |
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 | SLE |
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 | SLE, SLE, SLE, SLE, SLE |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 5 | Mende, Temne, Limba, Kono, Creole |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | SENIOR PARTNER, JUNIOR PARTNER, JUNIOR PARTNER, JUNIOR... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 4 | 0.3, 0.3, 0.08, 0.04, 0.03 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 5 | 45104000, 45105060, 45105030, 45102000, 45101000 |
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 | SLE, SLE, SLE, SLE |
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 | 17007, 4, 1, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 99.9647, 0.0235, 0.0059, 0.0059 |
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 | SLE |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Sierra Leone |
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 | 19803 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 17460 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 19803 |
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 | 16054 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 14352 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 854 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 749 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 2350 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2108 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 44 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 32 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 466 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 185 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 35 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 34 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SLE, SLE, SLE, SLE |
society_id |
Society id | string | CCL | 0% | 4 | Af14, Af5, Af57, Ag24 |
society_name |
Society name | string | CCL | 0% | 4 | Sherbro, Mende, Temne, Koranko |
language_glottocode |
Language glottocode | string | CCL | 0% | 4 | sher1258, mend1266, timn1235, kura1250 |
language_name |
Language name | string | CCL | 0% | 1 | , , , |
kinship_system |
Kinship system | string | CCL | 0% | 4 | EA001:1; EA002:0; EA003:2; EA004:1; EA005:6, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 4 | EA006:1; EA007:8; EA008:7; EA009:6; EA010:10, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 4 | EA028:3; EA029:5; EA030:7; EA031:NA; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA033:3; EA034:2; EA035:NA, EA033:2; EA034:2; EA035:8,... |
religion_importance |
Religion importance | string | CCL | 0% | 3 | EA034:2; EA112:NA, EA034:2; EA112:4, EA034:2; EA112:NA,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:1; EA012:10; EA013:9, EA011:1; EA012:8; EA013:2,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Sierra Leone, Sierra Leone, Sierra Leone, Sierra Leone |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , |
latitude |
latitude | float | 0% | 4 | 7.52, 8.0, 8.46, 9.0 |
longitude |
longitude | float | 0% | 3 | -12.69, -11.0, -12.64, -11.0 |
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 |
| 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) | 17,007 | 100.0% | — |
17,460 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.