ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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_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 |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 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 | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | SLE |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 98 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 4.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 3.5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 3 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 138 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 3.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 3.5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | integer | 0% | 1 | 5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 51 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 7 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 7 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 7 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 24 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 5.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 4.5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | integer | 0% | 1 | 4 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 65 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 5.3 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 5.75 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | integer | 0% | 1 | 5 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 99 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.6 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 5.05 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | integer | 0% | 1 | 5 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 57 |
| +103 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| 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.