| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 100% | - | - |
region_name |
Region name | string | SEL | 0% | 1 | Madagascar |
T_TL |
Total population | integer | SEL | 0% | 1 | 26696210 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2018 |
ADM0_PCODE |
ADM0_PCODE | string | 0% | 1 | MG |
T_TL_2009 |
T_TL_2009 | integer | 0% | 1 | 20966930 |
T_TL_2010 |
T_TL_2010 | integer | 0% | 1 | 21545618 |
T_TL_2011 |
T_TL_2011 | integer | 0% | 1 | 22138283 |
T_TL_2012 |
T_TL_2012 | integer | 0% | 1 | 22745150 |
T_TL_2013 |
T_TL_2013 | integer | 0% | 1 | 23364246 |
T_TL_2014 |
T_TL_2014 | integer | 0% | 1 | 23997709 |
T_TL_2015 |
T_TL_2015 | integer | 0% | 1 | 24645620 |
T_TL_2016 |
T_TL_2016 | integer | 0% | 1 | 25311023 |
T_TL_2017 |
T_TL_2017 | integer | 0% | 1 | 25994391 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 22 | MG11, MG12, MG13, MG14, MG21 |
region_name |
Region name | string | SEL | 0% | 22 | Analamanga, Vakinankaratra, Itasy, Bongolava, Haute Matsiatra |
T_TL |
Total population | integer | SEL | 0% | 22 | 4093006, 2204061, 895694, 559010, 1465681 |
| 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 | 2018, 2018, 2018, 2018, 2018 |
ADM0_PCODE |
ADM0_PCODE | string | 0% | 1 | MG, MG, MG, MG, MG |
T_TL_2009 |
T_TL_2009 | integer | 0% | 22 | 3214605, 1731047, 703469, 439041, 1151131 |
T_TL_2010 |
T_TL_2010 | integer | 0% | 22 | 3303328, 1778824, 722885, 451159, 1182902 |
T_TL_2011 |
T_TL_2011 | integer | 0% | 22 | 3394194, 1827755, 742769, 463569, 1215441 |
T_TL_2012 |
T_TL_2012 | integer | 0% | 22 | 3487238, 1877858, 763131, 476276, 1248759 |
T_TL_2013 |
T_TL_2013 | integer | 0% | 22 | 3582156, 1928971, 783902, 489240, 1282749 |
T_TL_2014 |
T_TL_2014 | integer | 0% | 22 | 3679278, 1981271, 805156, 502505, 1317527 |
T_TL_2015 |
T_TL_2015 | integer | 0% | 22 | 3778614, 2034763, 826894, 516072, 1353099 |
T_TL_2016 |
T_TL_2016 | integer | 0% | 22 | 3880632, 2089699, 849219, 530005, 1389631 |
T_TL_2017 |
T_TL_2017 | integer | 0% | 22 | 3985405, 2146118, 872147, 544314, 1427150 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | MG11101001A, MG11101002A, MG11101003A, MG11101004A, MG11101005A |
region_name |
Region name | string | SEL | 0% | 100 | 1er Arrondissement, 2e Arrondissement, 3e... |
T_TL |
Total population | integer | SEL | 0% | 100 | 310355, 239056, 167055, 318488, 390355 |
| 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 | 2018, 2018, 2018, 2018, 2018 |
ADM0_PCODE |
ADM0_PCODE | string | 0% | 1 | MG, MG, MG, MG, MG |
T_TL_2009 |
T_TL_2009 | integer | 0% | 100 | 243750, 187752, 131203, 250137, 306581 |
T_TL_2010 |
T_TL_2010 | integer | 0% | 100 | 250478, 192934, 134824, 257041, 315043 |
T_TL_2011 |
T_TL_2011 | integer | 0% | 100 | 257368, 198241, 138533, 264111, 323709 |
T_TL_2012 |
T_TL_2012 | integer | 0% | 100 | 264423, 203675, 142330, 271351, 332582 |
T_TL_2013 |
T_TL_2013 | integer | 0% | 100 | 271620, 209219, 146204, 278737, 341635 |
T_TL_2014 |
T_TL_2014 | integer | 0% | 100 | 278984, 214892, 150168, 286294, 350897 |
T_TL_2015 |
T_TL_2015 | integer | 0% | 100 | 286516, 220693, 154223, 294024, 360371 |
T_TL_2016 |
T_TL_2016 | integer | 0% | 100 | 294252, 226652, 158387, 301962, 370101 |
T_TL_2017 |
T_TL_2017 | integer | 0% | 100 | 302197, 232771, 162663, 310115, 380093 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | MG11101001, MG11101002, MG11101003, MG11101004, MG11101005 |
region_name |
Region name | string | SEL | 0% | 99 | 1er Arrondissement, 2e Arrondissement, 3e... |
T_TL |
Total population | integer | SEL | 0% | 100 | 310355, 239056, 167055, 318488, 390355 |
| 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 | 2018, 2018, 2018, 2018, 2018 |
ADM0_PCODE |
ADM0_PCODE | string | 0% | 1 | MG, MG, MG, MG, MG |
ADM2_TYPE |
ADM2_TYPE | string | 0% | 1 | District, District, District, District, District |
ADM3_TYPE |
ADM3_TYPE | string | 0% | 1 | Commune, Commune, Commune, Commune, Commune |
T_TL_2009 |
T_TL_2009 | integer | 0% | 100 | 243750, 187752, 131203, 250137, 306581 |
T_TL_2010 |
T_TL_2010 | integer | 0% | 100 | 250478, 192934, 134824, 257041, 315043 |
T_TL_2011 |
T_TL_2011 | integer | 0% | 100 | 257368, 198241, 138533, 264111, 323709 |
T_TL_2012 |
T_TL_2012 | integer | 0% | 100 | 264423, 203675, 142330, 271351, 332582 |
T_TL_2013 |
T_TL_2013 | integer | 0% | 100 | 271620, 209219, 146204, 278737, 341635 |
T_TL_2014 |
T_TL_2014 | integer | 0% | 100 | 278984, 214892, 150168, 286294, 350897 |
T_TL_2015 |
T_TL_2015 | integer | 0% | 100 | 286516, 220693, 154223, 294024, 360371 |
T_TL_2016 |
T_TL_2016 | integer | 0% | 100 | 294252, 226652, 158387, 301962, 370101 |
T_TL_2017 |
T_TL_2017 | integer | 0% | 100 | 302197, 232771, 162663, 310115, 380093 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | MG11101001001, MG11101001002, MG11101001003,... |
region_name |
Region name | string | SEL | 0% | 100 | Antanimalalaka Analakely, Ambalavao Isotry,... |
T_TL |
Total population | integer | SEL | 0% | 99 | 1347, 6436, 2151, 3804, 8518 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_4, admin_4, admin_4, admin_4, admin_4 |
year |
Reference year | integer | 0% | 1 | 2018, 2018, 2018, 2018, 2018 |
ADM0_PCODE |
ADM0_PCODE | string | 0% | 1 | MG, MG, MG, MG, MG |
T_TL_2009 |
T_TL_2009 | integer | 0% | 99 | 1058, 5055, 1689, 2988, 6690 |
T_TL_2010 |
T_TL_2010 | integer | 0% | 99 | 1087, 5195, 1736, 3070, 6875 |
T_TL_2011 |
T_TL_2011 | integer | 0% | 99 | 1117, 5337, 1783, 3155, 7064 |
T_TL_2012 |
T_TL_2012 | integer | 0% | 99 | 1148, 5484, 1832, 3241, 7257 |
T_TL_2013 |
T_TL_2013 | integer | 0% | 99 | 1179, 5633, 1882, 3330, 7455 |
T_TL_2014 |
T_TL_2014 | integer | 0% | 99 | 1211, 5786, 1933, 3420, 7657 |
T_TL_2015 |
T_TL_2015 | integer | 0% | 99 | 1244, 5942, 1985, 3512, 7864 |
T_TL_2016 |
T_TL_2016 | integer | 0% | 99 | 1277, 6102, 2039, 3607, 8076 |
T_TL_2017 |
T_TL_2017 | integer | 0% | 99 | 1312, 6267, 2094, 3704, 8294 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MDG, MDG, MDG, MDG, MDG |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 23 | Total, Alaotra Mangoro, Analamanga, Analanjirofo, Anamoroni Mania |
human_development_index |
Human development index | float | SEL | 0% | 76 | 0.421, 0.437, 0.519, 0.411, 0.416 |
health_index |
Health index | float | SEL | 0% | 79 | 0.494, 0.509, 0.56, 0.539, 0.479 |
education_index |
Education index | float | SEL | 0% | 82 | 0.337, 0.364, 0.483, 0.306, 0.359 |
income_index |
Income index | float | SEL | 0% | 57 | 0.447, 0.45, 0.516, 0.419, 0.42 |
life_expectancy |
Life expectancy | float | SEL | 0% | 98 | 52.14, 53.07, 56.39, 55.04, 51.12 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 91 | 5.058, 5.689, 8.502, 3.33, 5.475 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 5 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| 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% | 89 | 95.5, 95.2, 96.3, 91.3, 88.2 |
men_who_are_literate |
Men who are literate | float | CCL | 31% | 63 | 93.6, 92.0, 97.3, 96.9, 88.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Madagascar, Madagascar, Madagascar, Madagascar, Madagascar |
survey_year |
survey_year | integer | 0% | 6 | 2008, 2021, 2008, 2021, 2008 |
region |
region | string | 0% | 41 | ....Analamanga excluding capital, ....Analamanga... |
survey_id |
survey_id | string | 0% | 6 | MD2008DHS, MD2021DHS, MD2008DHS, MD2021DHS, MD2008DHS |
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% | 70 | 29.3, 37.1, 27.4, 30.5, 29.3 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 46 | 37.0, 38.0, 40.0, 37.0, 48.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 63 | 47.0, 50.0, 51.0, 52.0, 74.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 74 | 77.9, 73.2, 72.0, 61.8, 71.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Madagascar, Madagascar, Madagascar, Madagascar, Madagascar |
survey_year |
survey_year | integer | 0% | 5 | 2008, 2021, 2008, 2021, 2008 |
region |
region | string | 0% | 30 | ....Analamanga excluding capital, ....Analamanga... |
survey_id |
survey_id | string | 0% | 5 | MD2008DHS, MD2021DHS, MD2008DHS, MD2021DHS, MD2008DHS |
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 |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MG, MG, MG, MG, MG |
population_count |
Population count | float | SEL | 2% | 65 | 5111029.0, 5246158.0, 5384150.0, 5525185.0, 5669863.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.349, 43.79, 44.185, 44.626, 45.037 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 131.69201832961, 133.271232882825, 137.308007316434,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 70.6900024414062, 71.5699996948242, 76.6800003051758,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 15% | 52 | 145.6, 147.3, 149.1, 151.2, 153.3 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 85% | 10 | 70.0, 73.3, 71.3, 70.8, 80.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Madagascar, Madagascar, Madagascar, Madagascar, Madagascar |
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 | MG, MG, MG, MG, MG |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.349, 43.79, 44.185, 44.626, 45.037 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 17% | 46 | 34.7, 34.9, 35.1, 35.3, 35.6 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 15% | 52 | 145.6, 147.3, 149.1, 151.2, 153.3 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 751.0, 730.0, 702.0, 687.0, 684.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 7.343, 7.299, 7.256, 7.212, 7.188 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.641, 47.067, 46.507, 45.99, 45.675 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 21.485, 21.033, 20.614, 20.169, 19.767 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 62% | 22 | 0.115, 0.093, 0.097, 0.096, 0.099 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 77% | 10 | 2.40618586540222, 2.79080009460449, 2.43129992485046,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 35% | 27 | 15.0, 23.0, 19.0, 23.0, 30.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.99177623, 4.11513853, 4.92866945, 5.00276566, 5.25090027 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Madagascar, Madagascar, Madagascar, Madagascar, Madagascar |
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 | MDG |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Madagascar |
admin_code |
Admin code | string | SEL | 0% | 1 | 34563404B32462921680697 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 588543.9586 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 29287015 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 49.76 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MDG, MDG, MDG, MDG, MDG |
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% | 22 | Analamanga, Vakinankaratra, Atsimo-Andrefana, Sofia, Atsinanana |
admin_code |
Admin code | string | SEL | 0% | 22 | 27540722B10144800929043, 27540722B16458597550107,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 22 | 16978.9685, 17311.8709, 66108.1672, 49898.6768, 22718.9943 |
pop_2024 |
Population count | integer | SEL | 0% | 22 | 4003760, 2369628, 2034750, 1713368, 1712463 |
pop_density_2024 |
Population density | float | SEL | 0% | 21 | 235.81, 136.88, 30.78, 34.34, 75.38 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MDG, MDG, MDG, MDG, MDG |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 22 | Antananarivo, Toamasina, Mahajanga, Toliara, Antsirabe |
admin_code |
Admin code | integer | SEL | 0% | 22 | 1985, 2303, 1229, 145, 1335 |
area_sqkm |
Area sqkm | float | SEL | 0% | 22 | 439.6585, 35.8056, 33.8052, 27.8709, 17.9068 |
pop_2024 |
Population count | integer | SEL | 0% | 22 | 2451815, 365659, 247497, 229440, 177326 |
pop_density_2024 |
Population density | float | SEL | 0% | 22 | 5576.64, 10212.34, 7321.27, 8232.24, 9902.72 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 22 | 4255254, 78265, 220110, 118187, 54134 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 21 | 0.576, 4.672, 1.124, 1.941, 3.276 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 22 | Antananarivo, Antsiramandroso, Ambano, Mahajanga, Amparihimahitsy |
country_code |
Country code | string | SEL | 0% | 1 | MDG, MDG, MDG, MDG, MDG |
population |
Population count | integer | SEL | 0% | 22 | 4255254, 310056, 230884, 220110, 180166 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 22 | 1985, 2224, 1436, 1229, 1536 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Madagascar, Madagascar, Madagascar, Madagascar, Madagascar |
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 |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 17 | amer1248, anta1255, bara1369, mada1271, maha1309 |
name |
Name | string | CCL | 0% | 17 | American Sign Language, Antankarana Malagasy, Bara... |
iso639_3 |
Iso639 3 | string | CCL | 12% | 15 | ase, xmv, bhr, mzc, swb |
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% | 5 | sign1238, aust1307, aust1307, sign1238, aust1307 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 13 | amer1258, nort3207, bara1407, norw1261, nucl1799 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 3 | ['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% | 4 | 2, 2, 0, 0, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 6% | 16 | 33.8117, -13.2164, -23.9716, -19.04, -24.2 |
longitude |
longitude | float | 6% | 16 | -81.6121, 49.2402, 45.5937, 46.87, 44.5 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | 2023.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 76.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .mg |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 20.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
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 | 3,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 3000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 23.5 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 23.5 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 76 (2023 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-owned Radio Nationale Malagasy (RNM) and... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 20% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 34,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 34000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ma.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 1700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 17.421 |
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
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 East African island economy; natural resource... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $52.968 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 | 52.968 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $50.833 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 | 50.833 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $48.782 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 | 48.782 |
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 | 4.2% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 4.2% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 4.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.2% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.2 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $1,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $1,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 1600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $1,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 1600.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $17.421 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 9.9% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 9.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 8.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 8.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 5.8% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 5.8 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +109 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 | 36.1 |
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
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 | 36.1% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 71.6% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 71.6 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 10.9% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 10.9 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 759,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 759000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 2.506 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 2.506 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 139 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 139.0 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 64.8% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 64.8 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 3.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 3.2 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 31.1% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 31.1 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.9% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.9 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 472,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 472000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 472,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 472000.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 150 million metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 150.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 20,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 20000.0 |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text | string | 0% | 1 | 1.816 million Btu/person (2023 est.) |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric | float | 0% | 1 | 1.816 |
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 | 70.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 17.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 40.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.26 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 3.769 |
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
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 | erosion and soil degradation from deforestation and... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | tropical along coast, temperate inland, arid in south |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 70.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 64.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 64.1 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 17.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 12.2% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 12.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 40.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.26% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 3.936 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 3.936 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 1.057 million 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 | 1.057 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 2.879 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 | 2.879 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 16.7 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 16.7 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 3.769 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 | 9.2% (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 | 9.2 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 395 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 395.0 |
| +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 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
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 | Malagasy (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Malagasy |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Malayo-Indonesian (Merina and related Betsileo), Cotiers... |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ma.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 587041.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 581540.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 5501.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 0.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 4828.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2876.0 |
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 | 70.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 17.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 10860.0 |
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern Africa, island in the Indian Ocean, east of Mozambique |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 20 00 S, 47 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 20.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 587,041 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 581,540 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 5,501 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | almost four times the size of Georgia; slightly less... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 0 km |
coastline_text |
coastline_text | string | 0% | 1 | 4,828 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 or 100 nm from the 2,500-m isobath |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical along coast, temperate inland, arid in south |
terrain_text |
terrain_text | string | 0% | 1 | narrow coastal plain, high plateau and mountains in center |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Maromokotro 2,876 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Indian Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 615 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 615.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | graphite, chromite, coal, bauxite, rare earth elements,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 70.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.0 |
| +12 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 | MDG |
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 Madagascar |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Madagascar |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République de Madagascar/Repoblikan'i Madagasikara |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Madagascar/Madagasikara |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Malagasy Republic |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | a variant of the name was first used by 13th-century... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 13.0 |
government_type_text |
government_type_text | string | 0% | 1 | semi-presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Antananarivo |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 18 55 S, 47 31 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 18.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+3 (8 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name means "City of the Thousand," from the Malagasy... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 17.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 6 provinces (faritany); Antananarivo, Antsiranana,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 6.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system based on the old French civil code and... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1992; latest passed by referendum 17 November... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1992.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic in... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | the father must be a citizen of Madagascar; in the case... |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | unknown |
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 | Michael RANDRIANIRINA (Col.) |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Herintsalama RAJAONARIVELO (since 22 October 2025) |
| +85 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 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Madagascar was one of the last major habitable... |
background_numeric |
background_numeric | float | 0% | 1 | 350.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ma.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Malagasy (official) 99.9%, French (official) 23.6%,... |
languages_numeric |
languages_numeric | float | 0% | 1 | 99.9 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ma.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 1,256 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 1256.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 9,868 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 9868.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ma.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
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 | Madagascar Armed Forces (aka Armed forces of the... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 0.7% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 0.7% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.7% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.7% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.7% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.7 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 13,000 Armed Forces; estimated 10,000... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 13000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military's inventory consists mostly of older or... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18 years of age for voluntary military service for men... |
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 military’s responsibilities include ensuring... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ma.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 31345040.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 15647362.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 15697678.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 37.0 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 59.1 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.9 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 73.4 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 66.9 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 6.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 20.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.15 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 27.54 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.95 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.08 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 40.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.26 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.01 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 445.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 38.4 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 68.8 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.47 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.71 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.17 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 74.7 |
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
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 | 31,345,040 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 15,647,362 |
population_female_text |
population_female_text | string | 0% | 1 | 15,697,678 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 37% (male 5,507,847/female 5,400,551) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 59.1% (male 8,720,012/female 8,673,880) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.9% (2024 est.) (male 532,642/female 617,782) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 73.4 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 66.9 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 6.5 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 15.3 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 15.3 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 20.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 21.1 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 21.1 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 21.5 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 21.5 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.15% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 27.54 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.95 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.08 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most of population lives on the eastern half of the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 40.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.26% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.872 million ANTANANARIVO (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.872 |
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 | 1.01 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.01 |
| +92 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 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 1.4 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Church of Jesus Christ in Madagascar/Malagasy Lutheran... |
religions_numeric |
religions_numeric | float | 0% | 1 | 34.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ma.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_church_of_jesus_christ_in_madagascar_malagasy_lutheran_church_anglican_church_pct_synth |
Church of Jesus Christ in Madagascar/Malagasy Lutheran Church/Anglican Church | numeric | 0% | - | 34.0 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 32.3 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 8.1 |
composition_religion_traditional_animist_pct_synth |
traditional/Animist | numeric | 0% | - | 1.7 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 21.9 |
composition_ethnicity_malayo_indonesian_pct_synth |
Malayo-Indonesian | numeric | 0% | - | - |
composition_ethnicity_cotiers_pct_synth |
Cotiers | numeric | 0% | - | - |
composition_ethnicity_french_pct_synth |
French | numeric | 0% | - | - |
composition_ethnicity_indian_pct_synth |
Indian | numeric | 0% | - | - |
composition_ethnicity_creole_pct_synth |
Creole | numeric | 0% | - | - |
composition_ethnicity_comoran_pct_synth |
Comoran | numeric | 0% | - | - |
| 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 | 5R |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 93.0 |
country_code |
Country code | string | SEL | 0% | 1 | MDG |
country_name |
Country name | string | SEL | 0% | 1 | Madagascar |
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 | 5.0 |
airports_text |
airports_text | string | 0% | 1 | 93 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 836 km (2018) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 836.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 836 km (2018) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 836.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 29 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 29.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 16, oil tanker 2, other 11 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 16.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 13 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 13.0 |
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 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 11 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 11.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 5 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 5.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Andoany, Antsiranana, Antsohim Bondrona, Iharana,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ma.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MDG, MDG, MDG, MDG, MDG |
society_id |
Society id | string | CCL | 0% | 6 | Eh10, Eh2, Eh3, Eh7, Eh8 |
society_name |
Society name | string | CCL | 0% | 6 | Betsileo, Merina, Tanala, Antandroy, Sakalava |
language_glottocode |
Language glottocode | string | CCL | 0% | 6 | bets1235, meri1243, tana1285, tand1256, saka1291 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 6 | EA001:0; EA002:0; EA003:0; EA004:2; EA005:8, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 6 | EA006:3; EA007:8; EA008:7; EA009:6; EA010:8, EA006:3;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 6 | EA028:NA; EA029:NA; EA030:NA; EA031:NA; EA032:NA,... |
political_complexity |
Political complexity | string | CCL | 0% | 5 | EA033:NA; EA034:NA; EA035:NA, EA033:4; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 3 | EA034:NA; EA112:NA, EA034:NA; EA112:NA, EA034:2;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:10; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Madagascar, Madagascar, Madagascar, Madagascar, Madagascar |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 5 | -22.0, -19.0, -22.0, -25.0, -21.0 |
longitude |
longitude | float | 0% | 4 | 47.0, 46.0, 47.0, 46.0, 43.93 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MDG |
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 | MDG |
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 | MDG |
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 | MDG |
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 | MDG |
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 | MDG, MDG, MDG |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | fra, mlg, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | French, Malagasy, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 49, 23, 6 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 62.8205, 29.4872, 7.6923 |
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 | MDG |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Madagascar |
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 | 99.9948 |
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 | 38304 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 31683 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 38302 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 2 |
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 | 28418 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 24306 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 4770 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 3396 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 3599 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 2638 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 870 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 853 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 175 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 129 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 363 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 330 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 107 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 29 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 2 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 2 |
| 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) | 49 | 62.8% | — |
| Malagasy (mlg) | 23 | 29.5% | — |
| English (eng) | 6 | 7.7% | — |
31,683 distinct features ·
3 languages ·
0 scripts ·
2 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 |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Global Data Lab | academic | api |
| 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.