| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA, BFA, BFA, BFA, BFA |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 14 | Total, Boucle de Mouhoun, Cascades, Centre (incl... |
human_development_index |
Human development index | float | SEL | 0% | 87 | 0.28, 0.218, 0.244, 0.5, 0.291 |
health_index |
Health index | float | SEL | 0% | 41 | 0.451, 0.468, 0.436, 0.524, 0.451 |
education_index |
Education index | float | SEL | 0% | 83 | 0.134, 0.065, 0.09, 0.524, 0.148 |
income_index |
Income index | float | SEL | 0% | 62 | 0.363, 0.338, 0.37, 0.455, 0.368 |
life_expectancy |
Life expectancy | float | SEL | 0% | 88 | 49.32, 50.44, 48.31, 54.07, 49.31 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 2.01, 0.849, 1.161, 10.42, 1.981 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 8 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| 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 | BF, BF, BF, BF, BF |
population_count |
Population count | float | SEL | 2% | 65 | 4778621.0, 4848224.0, 4919672.0, 4993623.0, 5071034.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 36.074, 36.361, 36.753, 37.093, 37.399 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 69.1502456087615, 72.2423787062462, 77.1529279288175,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 80% | 13 | 8.82999992370605, 13.5699996948242, 12.8500003814697,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 344.6, 340.7, 337.0, 333.7, 330.5 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 41.4, 43.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Burkina Faso, Burkina Faso, Burkina Faso, Burkina Faso,... |
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 | BF, BF, BF, BF, BF |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 36.074, 36.361, 36.753, 37.093, 37.399 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 17% | 53 | 71.1, 71.3, 71.5, 71.5, 71.1 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 344.6, 340.7, 337.0, 333.7, 330.5 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 850.0, 834.0, 820.0, 806.0, 787.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.248, 6.286, 6.322, 6.356, 6.419 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 46.197, 46.434, 46.644, 46.809, 47.14 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 26.933, 26.827, 26.61, 26.431, 26.288 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 58% | 25 | 0.011, 0.014, 0.01, 0.018, 0.018 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 89% | 7 | 0.523758113384247, 0.57150000333786, 0.306400001049042,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 39% | 23 | 9.0, 19.0, 23.0, 34.0, 44.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.0211668, 3.95983911, 4.17985535, 4.42266035, 5.23083639 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Burkina Faso, Burkina Faso, Burkina Faso, Burkina Faso,... |
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% | 66 | 12.0, 14.8, 18.8, 24.9, 32.8 |
men_who_are_literate |
Men who are literate | float | CCL | 40% | 41 | 19.9, 29.4, 44.6, 46.5, 38.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Burkina Faso, Burkina Faso, Burkina Faso, Burkina Faso,... |
survey_year |
survey_year | integer | 0% | 5 | 2003, 2010, 2014, 2017, 2021 |
region |
region | string | 0% | 15 | Boucle de Mouhoun, Boucle de Mouhoun, Boucle de Mouhoun,... |
survey_id |
survey_id | string | 0% | 5 | BF2003DHS, BF2010DHS, BF2014MIS, BF2017MIS, BF2021DHS |
survey_type |
survey_type | string | 0% | 2 | DHS, DHS, MIS, MIS, 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% | 49 | 10.7, 10.7, 29.8, 14.4, 18.4 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 38 | 88.0, 69.0, 29.0, 113.0, 96.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 47 | 188.0, 135.0, 51.0, 211.0, 170.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 50 | 50.1, 86.3, 77.6, 51.7, 66.3 |
children_underweight |
Children underweight | float | CCL | 0% | 49 | 38.3, 20.7, 13.2, 44.6, 24.2 |
hiv_prevalence_pct |
Hiv prevalence percent | float | SEL | 46% | 20 | 1.8, 0.6, 2.1, 1.2, 0.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Burkina Faso, Burkina Faso, Burkina Faso, Burkina Faso,... |
survey_year |
survey_year | integer | 0% | 5 | 2003, 2010, 2021, 2003, 2010 |
region |
region | string | 0% | 19 | Boucle de Mouhoun, Boucle de Mouhoun, Boucle de Mouhoun,... |
survey_id |
survey_id | string | 0% | 5 | BF2003DHS, BF2010DHS, BF2021DHS, BF2003DHS, BF2010DHS |
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% | 83 | amer1248, bial1238, biss1248, bolo1266, bomu1247 |
name |
Name | string | CCL | 0% | 83 | American Sign Language, Biali, Bissa, Bolon, Bomu |
iso639_3 |
Iso639 3 | string | CCL | 2% | 81 | ase, beh, bib, bof, bmq |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 1% | 7 | sign1238, atla1278, mand1469, mand1469, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 1% | 54 | amer1258, otiv1240, bisa1265, east2425, bwam1247 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 18 | ['BB', 'BF', 'BJ', 'BO', 'CA', 'CD', 'CF', 'CI', 'CN',... |
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% | 11 | 2, 7, 4, 2, 9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 1% | 80 | 33.8117, 11.0382, 11.3434, 11.8242, 12.3816 |
longitude |
longitude | float | 1% | 82 | -81.6121, 1.08259, -0.3744, -4.75524, -4.538 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | BF |
region_name |
Region name | string | SEL | 0% | 1 | Burkina Faso |
F_TL |
Female population | integer | SEL | 0% | 1 | 12158851 |
M_TL |
Male population | integer | SEL | 0% | 1 | 11399640 |
T_TL |
Total population | integer | SEL | 0% | 1 | 23558491 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 2021217 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 1701189 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 1501076 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 1306893 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 1124018 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 960553 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 813703 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 660296 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 527828 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 418427 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 330122 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 259074 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 188938 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 135478 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 94486 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 57748 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 57805 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 2096897 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 1809747 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 1524715 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 1248738 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 1010501 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 808932 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 649261 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 523629 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 414430 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 330738 |
M_50_54 |
Male population age 50-54 | integer | 0% | 1 | 268247 |
| +23 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 13 | BF46, BF47, BF13, BF48, BF49 |
region_name |
Region name | string | SEL | 0% | 13 | Boucle Du Mouhoun, Cascades, Centre, Centre-Est, Centre-Nord |
F_TL |
Female population | integer | SEL | 0% | 13 | 1075642, 489240, 1824827, 955125, 1133598 |
M_TL |
Male population | integer | SEL | 0% | 13 | 1058525, 461744, 1822095, 843488, 1014383 |
T_TL |
Total population | integer | SEL | 0% | 13 | 2134167, 950984, 3646922, 1798613, 2147981 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 13 | 186830, 85369, 241925, 160961, 202487 |
F_05_09 |
Female population age 5-9 | integer | 0% | 13 | 154907, 71011, 211154, 137963, 166979 |
F_10_14 |
Female population age 10-14 | integer | 0% | 13 | 137280, 63082, 204814, 117576, 147102 |
F_15_19 |
Female population age 15-19 | integer | 0% | 13 | 105794, 51381, 215562, 98652, 121437 |
F_20_24 |
Female population age 20-24 | integer | 0% | 13 | 93379, 43837, 210468, 84984, 101475 |
F_25_29 |
Female population age 25-29 | integer | 0% | 13 | 80385, 38575, 185117, 73331, 82965 |
F_30_34 |
Female population age 30-34 | integer | 0% | 13 | 70175, 33296, 153103, 61971, 69691 |
F_35_39 |
Female population age 35-39 | integer | 0% | 13 | 57723, 26334, 113594, 50648, 57039 |
F_40_44 |
Female population age 40-44 | integer | 0% | 13 | 47667, 20362, 81878, 41081, 47068 |
F_45_49 |
Female population age 45-49 | integer | 0% | 13 | 38717, 15717, 59910, 33577, 37524 |
F_50_54 |
Female population age 50-54 | integer | 0% | 13 | 31003, 12702, 45113, 26226, 29468 |
F_55_59 |
Female population age 55-59 | integer | 0% | 13 | 24280, 9926, 35621, 20362, 22999 |
F_60_64 |
Female population age 60-64 | integer | 0% | 13 | 17601, 6897, 24657, 15781, 16595 |
F_65_69 |
Female population age 65-69 | integer | 0% | 13 | 12304, 4793, 17149, 11812, 11787 |
F_70_74 |
Female population age 70-74 | integer | 0% | 13 | 8197, 2952, 11281, 8699, 8646 |
F_75_79 |
Female population age 75-79 | integer | 0% | 13 | 5019, 1720, 6947, 5600, 4983 |
F_80Plus |
F_80Plus | integer | 0% | 13 | 4381, 1286, 6534, 5901, 5353 |
M_00_04 |
Male population age 0-4 | integer | 0% | 13 | 196504, 88006, 254146, 169402, 208590 |
M_05_09 |
Male population age 5-9 | integer | 0% | 13 | 169528, 75224, 222634, 150027, 174227 |
M_10_14 |
Male population age 10-14 | integer | 0% | 13 | 144068, 63340, 192251, 127168, 143199 |
M_15_19 |
Male population age 15-19 | integer | 0% | 13 | 122416, 51243, 180988, 92587, 110007 |
M_20_24 |
Male population age 20-24 | integer | 0% | 13 | 93692, 39472, 193660, 62647, 82009 |
M_25_29 |
Male population age 25-29 | integer | 0% | 13 | 71123, 30949, 181370, 47287, 63312 |
M_30_34 |
Male population age 30-34 | integer | 0% | 13 | 57330, 25600, 157731, 37173, 48562 |
M_35_39 |
Male population age 35-39 | integer | 0% | 13 | 45769, 20922, 124819, 31787, 39251 |
M_40_44 |
Male population age 40-44 | integer | 0% | 13 | 36732, 16442, 93659, 26362, 31305 |
M_45_49 |
Male population age 45-49 | integer | 0% | 13 | 30447, 13097, 67835, 22553, 25384 |
M_50_54 |
Male population age 50-54 | integer | 0% | 13 | 25216, 10571, 48747, 19012, 22274 |
| +23 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 45 | BF4601, BF4602, BF4603, BF4604, BF4605 |
region_name |
Region name | string | SEL | 0% | 45 | Bale, Banwa, Kossi, Mouhoun, Nayala |
F_TL |
Female population | integer | SEL | 0% | 45 | 169714, 196297, 201123, 222175, 126264 |
M_TL |
Male population | integer | SEL | 0% | 45 | 167005, 193178, 197923, 218645, 124251 |
T_TL |
Total population | integer | SEL | 0% | 45 | 336719, 389475, 399046, 440820, 250515 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 45 | 29478, 34096, 34932, 38590, 21931 |
F_05_09 |
Female population age 5-9 | integer | 0% | 45 | 24439, 28270, 28965, 31997, 18183 |
F_10_14 |
Female population age 10-14 | integer | 0% | 45 | 21658, 25052, 25669, 28356, 16115 |
F_15_19 |
Female population age 15-19 | integer | 0% | 45 | 16692, 19307, 19781, 21852, 12419 |
F_20_24 |
Female population age 20-24 | integer | 0% | 45 | 14731, 17042, 17460, 19288, 10962 |
F_25_29 |
Female population age 25-29 | integer | 0% | 45 | 12684, 14669, 15030, 16604, 9436 |
F_30_34 |
Female population age 30-34 | integer | 0% | 45 | 11075, 12806, 13121, 14493, 8238 |
F_35_39 |
Female population age 35-39 | integer | 0% | 45 | 9110, 10534, 10792, 11922, 6775 |
F_40_44 |
Female population age 40-44 | integer | 0% | 44 | 7518, 8700, 8914, 9845, 5597 |
F_45_49 |
Female population age 45-49 | integer | 0% | 45 | 6109, 7066, 7240, 7996, 4544 |
F_50_54 |
Female population age 50-54 | integer | 0% | 45 | 4890, 5658, 5797, 6405, 3639 |
F_55_59 |
Female population age 55-59 | integer | 0% | 45 | 3831, 4430, 4540, 5016, 2850 |
F_60_64 |
Female population age 60-64 | integer | 0% | 45 | 2778, 3211, 3292, 3635, 2066 |
F_65_69 |
Female population age 65-69 | integer | 0% | 44 | 1943, 2245, 2300, 2541, 1444 |
F_70_74 |
Female population age 70-74 | integer | 0% | 44 | 1295, 1495, 1533, 1693, 962 |
F_75_79 |
Female population age 75-79 | integer | 0% | 45 | 792, 916, 938, 1037, 589 |
F_80Plus |
F_80Plus | integer | 0% | 45 | 691, 800, 819, 905, 514 |
M_00_04 |
Male population age 0-4 | integer | 0% | 45 | 31003, 35862, 36742, 40589, 23066 |
M_05_09 |
Male population age 5-9 | integer | 0% | 45 | 26747, 30938, 31698, 35017, 19900 |
M_10_14 |
Male population age 10-14 | integer | 0% | 45 | 22731, 26292, 26938, 29757, 16911 |
M_15_19 |
Male population age 15-19 | integer | 0% | 45 | 19313, 22341, 22889, 25286, 14370 |
M_20_24 |
Male population age 20-24 | integer | 0% | 45 | 14783, 17098, 17518, 19352, 10998 |
M_25_29 |
Male population age 25-29 | integer | 0% | 45 | 11223, 12979, 13298, 14690, 8349 |
M_30_34 |
Male population age 30-34 | integer | 0% | 45 | 9044, 10463, 10719, 11842, 6730 |
M_35_39 |
Male population age 35-39 | integer | 0% | 45 | 7217, 8353, 8559, 9454, 5373 |
M_40_44 |
Male population age 40-44 | integer | 0% | 45 | 5798, 6703, 6868, 7587, 4311 |
M_45_49 |
Male population age 45-49 | integer | 0% | 45 | 4802, 5556, 5694, 6289, 3574 |
M_50_54 |
Male population age 50-54 | integer | 0% | 45 | 3978, 4602, 4716, 5209, 2959 |
| +23 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Burkina Faso |
admin_code |
Admin code | string | SEL | 0% | 1 | 72675738B40910480630913 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 273375.1492 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 23077886 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 84.42 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA, BFA, BFA, BFA, BFA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 13 | Centre, Hauts-Bassins, Boucle du Mouhoun, Est, Nord |
admin_code |
Admin code | string | SEL | 0% | 13 | 92566538B14190085014946, 92566538B19127906733451,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 13 | 2869.4945, 25620.5227, 34545.9745, 46560.2826, 16406.4066 |
pop_2024 |
Population count | integer | SEL | 0% | 13 | 3322283, 2530213, 2263100, 1982472, 1948330 |
pop_density_2024 |
Population density | float | SEL | 0% | 13 | 1157.79, 98.76, 65.51, 42.58, 118.75 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA, BFA, BFA, BFA, BFA |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 19 | Ouagadougou, Bobo-Dioulasso, Ouahigouya, Koudougou, Banfora |
admin_code |
Admin code | integer | SEL | 0% | 19 | 1487, 395, 942, 1062, 234 |
area_sqkm |
Area sqkm | float | SEL | 0% | 19 | 491.9884, 168.9471, 31.8092, 46.7135, 30.8066 |
pop_2024 |
Population count | integer | SEL | 0% | 19 | 2877036, 815965, 137709, 129010, 127154 |
pop_density_2024 |
Population density | float | SEL | 0% | 19 | 5847.77, 4829.71, 4329.22, 2761.73, 4127.49 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 19 | 3616268, 1297389, 129506, 165240, 187824 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 18 | 0.796, 0.629, 1.063, 0.781, 0.677 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 19 | Ouagadougou, Bobo-Dioulasso, Banfora, Koudougou, Fada N'Gourma |
country_code |
Country code | string | SEL | 0% | 1 | BFA, BFA, BFA, BFA, BFA |
population |
Population count | integer | SEL | 0% | 19 | 3616268, 1297389, 187824, 165240, 140171 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 19 | 1487, 395, 234, 1062, 2108 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Burkina Faso, Burkina Faso, Burkina Faso, Burkina Faso,... |
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 | BFA, BFA, BFA, BFA, BFA |
society_id |
Society id | string | CCL | 0% | 16 | Ag11, Ag2, Ag29, Ag30, Ag33 |
society_name |
Society name | string | CCL | 0% | 16 | Lobi, Mossi (Yatenga), Samo, Bobo, Dyan |
language_glottocode |
Language glottocode | string | CCL | 0% | 14 | lobi1245, moss1236, sout2844, nort2819, dyan1251 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 10 | EA001:2; EA002:1; EA003:0; EA004:1; EA005:6, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 12 | EA006:2; EA007:8; EA008:5; EA009:5; EA010:10, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 16 | EA028:3; EA029:6; EA030:5; EA031:3; EA032:3, EA028:5;... |
political_complexity |
Political complexity | string | CCL | 0% | 9 | EA033:1; EA034:NA; EA035:6, EA033:3; EA034:2; EA035:4,... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:NA; EA112:NA, EA034:2; EA112:NA, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:1; EA012:10; EA013:9, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Burkina Faso, Burkina Faso, Burkina Faso, Burkina Faso,... |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 5 | 10.0, 13.0, 13.0, 13.0, 11.0 |
longitude |
longitude | float | 0% | 5 | -4.0, -2.0, -3.0, -4.0, -3.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
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 | 119.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .bf |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 17.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
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 | 72,700 (2022 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 72700.0 |
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 | 26.9 million (2022 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 26.9 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 119 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 14 digital TV channels, of which 2 are state-owned; over... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 14.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 17% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 15,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 15000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/uv.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 | 2500.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 23.25 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 43.2 |
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
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 | highly agrarian, low-income economy; limited natural... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $60.001 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 | 60.001 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $57.152 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 | 57.152 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $55.508 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 | 55.508 |
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 | 5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 5.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 1.5% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 1.5 |
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 | $2,500 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $2,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 2500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $2,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 2500.0 |
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 | $23.25 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 4.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 4.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 0.7% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 0.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 14.3% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 14.3 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 18.6% (2024 est.) |
| +111 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 | 19.5 |
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
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 | 19.5% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 60.5% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 60.5 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 3.4% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 3.4 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 749,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 749000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 3.096 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 3.096 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 1.577 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 1.577 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 212.254 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 212.254 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 82.9% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 82.9 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 5.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 5.4 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 6.7% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 6.7 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 5.1% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 5.1 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 1 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 1.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 74 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 74.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 37,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 37000.0 |
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 | 3.481 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 | 3.481 |
source_section |
source_section | string | 0% | 1 | Energy |
| +1 more extension field — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 53.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.7 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 32.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.75 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.575 |
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
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 | droughts; desertification; overgrazing; soil... |
environmental_issues_numeric |
environmental_issues_numeric | float | 0% | 1 | 2019.0 |
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 | Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | three climate zones including a hot tropical savanna... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 53.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 28.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 28.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.6 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 21.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 21.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 33.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 33.9 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 32.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.75% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 5.243 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 5.243 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 7 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 7.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 5.243 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 | 5.243 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 38.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 38.5 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 2.575 million 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 | 23% (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 | 23.0 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 375.6 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 375.6 |
| +8 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
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 | Burkinabe (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Burkinabe |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Mossi 53.7%, Fulani (Peuhl) 6.8%, Gurunsi 5.9%, Bissa... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 53.7 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/uv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 274200.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 273800.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 400.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 3611.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 749.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 200.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 53.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.7 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 550.0 |
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
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, north of Ghana |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 13 00 N, 2 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 13.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 274,200 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 273,800 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 400 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly larger than Colorado |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 3,611 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Benin 386 km; Cote d'Ivoire 545 km; Ghana 602 km; Mali... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 386.0 |
coastline_text |
coastline_text | string | 0% | 1 | 0 km (landlocked) |
maritime_claims_text |
maritime_claims_text | string | 0% | 1 | none (landlocked) |
climate_text |
climate_text | string | 0% | 1 | three climate zones including a hot tropical savanna... |
terrain_text |
terrain_text | string | 0% | 1 | mostly flat to dissected, undulating plains; hills in... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Tena Kourou 749 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Mouhoun (Black Volta) River 200 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 297 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 297.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | gold, manganese, zinc, limestone, marble, phosphates,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 53.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 28.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 28.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.6 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 21.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 21.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12.7% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 33.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 33.9 |
| +11 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 | BFA |
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 | none |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Burkina Faso |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | none |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Burkina Faso |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Upper Volta, Republic of Upper Volta |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name translates as "Land of the Worthy Men," from the... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Ouagadougou |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 12 22 N, 1 31 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 12.0 |
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 | Ouagadougou is a Francophone spelling of the native name... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 13 regions; Boucle du Mouhoun, Cascades, Centre,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 13.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law based on the French model and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest approved by referendum 2 June... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 2.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president, by a majority of National... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 30000.0 |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Burkina Faso |
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 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
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 | Transitional President Capt. Ibrahim TRAORE (since 30... |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 30.0 |
| +72 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 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Many of Burkina Faso’s ethnic groups arrived in the... |
background_numeric |
background_numeric | float | 0% | 1 | 12.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/uv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Mossi 52.9%, Fula 7.8%, Gourmantche 6.8%, Dyula 5.7%,... |
languages_numeric |
languages_numeric | float | 0% | 1 | 52.9 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/uv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 41,408 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 41408.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 2,065,358 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 2065358.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — the government did not demonstrate... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/uv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Armed Forces of Burkina Faso (FABF; aka National Armed... |
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 | 4.5% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 4.5 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 4% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 4.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.9% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.9 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.4% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.4 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.4% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.4 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 20,000 Armed Forces; estimated 50,000 Homeland... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 20000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FABF has a mix of older and some modern armaments... |
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 | generally, 18-35 years of age for voluntary military... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Armed Forces of Burkina Faso (FABF) are responsible... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1960.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/uv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 23490300.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 11529979.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 11960321.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 41.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 55.1 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.2 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 79.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 73.2 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 19.0 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.39 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 31.74 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 7.24 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.57 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 32.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.75 |
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 | 0.96 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 242.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 48.0 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 64.2 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 4.02 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.98 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.15 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.2 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 41.4 |
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
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 | 23,490,300 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 11,529,979 |
population_female_text |
population_female_text | string | 0% | 1 | 11,960,321 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 41.6% (male 4,868,488/female 4,727,316) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 55.1% (male 6,116,674/female 6,590,775) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.2% (2024 est.) (male 312,587/female 426,359) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 79 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 73.2 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 17.3 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 17.3 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 19 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 17.9 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 17.9 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 19.5 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 19.5 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.39% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 31.74 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 7.24 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.57 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most of the population is located in the center and... |
population_distribution_numeric |
population_distribution_numeric | float | 0% | 1 | 2019.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 32.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.75% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.204 million OUAGADOUGOU (capital), 1.129 million... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.204 |
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 | 1.03 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.03 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.93 male(s)/female |
| +94 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 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 63.8 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.2 |
composition_ethnicity_primary_label_synth |
Mossi | string | CCL | 0% | - | Mossi |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 63.8%, Roman Catholic 20.1%, Animiste 9%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 63.8 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/uv.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 20.1 |
composition_religion_animiste_pct_synth |
Animiste | numeric | 0% | - | 9.0 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 6.2 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 0.7 |
composition_ethnicity_mossi_pct_synth |
Mossi | numeric | 0% | - | 53.7 |
composition_ethnicity_fulani_peuhl_pct_synth |
Fulani (Peuhl) | numeric | 0% | - | 6.8 |
composition_ethnicity_gurunsi_pct_synth |
Gurunsi | numeric | 0% | - | 5.9 |
composition_ethnicity_bissa_pct_synth |
Bissa | numeric | 0% | - | 5.4 |
composition_ethnicity_gurma_pct_synth |
Gurma | numeric | 0% | - | 5.2 |
composition_ethnicity_bobo_pct_synth |
Bobo | numeric | 0% | - | 3.4 |
composition_ethnicity_senufo_pct_synth |
Senufo | numeric | 0% | - | 2.2 |
composition_ethnicity_lobi_pct_synth |
Lobi | numeric | 0% | - | 1.5 |
composition_ethnicity_tuareg_bella_pct_synth |
Tuareg/Bella | numeric | 0% | - | 0.1 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 12.8 |
composition_ethnicity_foreign_pct_synth |
foreign | numeric | 0% | - | 0.7 |
composition_ethnicity_primary_share_pct_synth |
Mossi | numeric | 0% | - | 53.7 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Ansarul Islam; Islamic State of Iraq and ash-Sham in the... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/uv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | XT |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 49.0 |
country_code |
Country code | string | SEL | 0% | 1 | BFA |
country_name |
Country name | string | SEL | 0% | 1 | Burkina Faso |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 49 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 622 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 622.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 622 km (2014) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 622.0 |
railways_note |
railways_note | string | 0% | 1 | note: another 660 km of this railway extends into Cote d'Ivoire |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/uv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BFA |
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 | BFA |
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 | BFA |
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 | BFA |
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 | BFA |
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 | BFA, BFA, BFA |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | fra, por, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | French, Portuguese, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 210, 103, 4 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 66.2461, 32.4921, 1.2618 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BFA |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Burkina Faso |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9793 |
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 | 14485 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 11067 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 14482 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
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 | 12395 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 9428 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 925 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 755 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 471 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 416 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 300 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 263 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 160 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 131 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 225 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 65 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 9 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 9 |
| 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 |
|---|---|---|---|
| French (fra) | 210 | 66.2% | — |
| Portuguese (por) | 103 | 32.5% | — |
| English (eng) | 4 | 1.3% | — |
11,067 distinct features ·
3 languages ·
0 scripts ·
3 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Afrobarometer | academic | api |
| World Bank Open Data | international_organization | api |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| USAID DHS Program (US Agency for International Development · Demographic and Health Surveys) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.