4 further sources (Afrobarometer, Ethnic Power Relations Dataset, GI-TOC / ENACT, Global Data Lab) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
| 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% | 90 | 74.9, 75.8, 78.7, 85.4, 87.3 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 84 | 79.0, 85.6, 82.4, 88.9, 90.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Malawi, Malawi, Malawi, Malawi, Malawi |
survey_year |
survey_year | integer | 0% | 5 | 2010, 2015, 2024, 2010, 2015 |
region |
region | string | 0% | 37 | ..Balaka, ..Balaka, ..Balaka, ..Blantyre, ..Blantyre |
survey_id |
survey_id | string | 0% | 5 | MW2010DHS, MW2015DHS, MW2024DHS, MW2010DHS, MW2015DHS |
survey_type |
survey_type | string | 0% | 1 | 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% | 89 | 29.5, 41.8, 51.9, 35.8, 43.0 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 58 | 66.0, 51.0, 28.0, 69.0, 47.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 66 | 125.0, 84.0, 46.0, 110.0, 68.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 2% | 83 | 88.6, 76.4, 68.1, 74.1, 63.1 |
children_underweight |
Children underweight | float | CCL | 0% | 73 | 7.4, 12.9, 12.3, 12.7, 9.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Malawi, Malawi, Malawi, Malawi, Malawi |
survey_year |
survey_year | integer | 0% | 6 | 2010, 2015, 2024, 2010, 2015 |
region |
region | string | 0% | 37 | ..Balaka, ..Balaka, ..Balaka, ..Blantyre, ..Blantyre |
survey_id |
survey_id | string | 0% | 6 | MW2010DHS, MW2015DHS, MW2024DHS, MW2010DHS, MW2015DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MW, MW, MW, MW, MW |
population_count |
Population count | float | SEL | 2% | 65 | 3628134.0, 3715534.0, 3806307.0, 3900506.0, 3997305.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 34.986, 35.23, 35.449, 35.643, 35.681 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 32% | 45 | 287.470822426729, 276.407062724717, 253.342697905133,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 92% | 5 | 48.5400009155273, 64.129997253418, 72.848752416256,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 5% | 63 | 358.9, 358.0, 356.6, 355.2, 353.8 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 92% | 4 | 65.3, 52.4, 50.7, 51.5, 50.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Malawi, Malawi, Malawi, Malawi, Malawi |
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 | MW, MW, MW, MW, MW |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 34.986, 35.23, 35.449, 35.643, 35.681 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 17% | 55 | 69.1, 68.6, 67.7, 66.6, 65.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 5% | 63 | 358.9, 358.0, 356.6, 355.2, 353.8 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 1115.0, 1118.0, 1123.0, 1154.0, 1136.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 7.042, 7.067, 7.095, 7.127, 7.114 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 53.727, 53.968, 54.176, 54.377, 54.185 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 30.101, 29.99, 29.884, 29.782, 29.754 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 74% | 14 | 0.027, 0.021, 0.013, 0.019, 0.087 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 89% | 7 | 1.11873054504395, 1.53849995136261, 0.841899991035461,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 24 | 58.0, 66.0, 64.0, 63.0, 58.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 2.35247517, 2.06040049, 2.69725966, 3.32019806, 4.07199907 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Malawi, Malawi, Malawi, Malawi, Malawi |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | MWI, MWI, MWI, MWI, MWI |
country_name |
country_name | string | 0% | 1 | Malawi, Malawi, Malawi, Malawi, Malawi |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 1127724.0, 241624.0, 232620.0, 221661.0, 217722.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 8 | 11.8, 2.4, 2.1, 1.7, 1.5 |
net_migration |
net_migration | float | 0% | 59 | 0.0, 0.0, 0.0, 0.0, 0.0 |
remittances_received_usd |
remittances_received_usd | float | 53% | 31 | 766905.8442, 523432.034803867, 647354.187443113,... |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 53% | 31 | 0.0445910551488662, 0.0257378988669737,... |
remittances_paid_usd |
remittances_paid_usd | float | 29% | 47 | 118519.2093, 122417.3158, 246276.4084, 223389.0444, 189482.0333 |
| 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 | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ISO3 |
ISO3 | string | 0% | 1 | MWI, MWI, MWI, MWI, MWI |
Country |
Country | string | 0% | 1 | Malawi, Malawi, Malawi, Malawi, Malawi |
ADM1_PCODE |
ADM1 PCODE | string | 100% | - | - |
ADM1_NAME |
ADM1 NAME | string | 100% | - | - |
ADM2_PCODE |
ADM2 PCODE | string | 100% | - | - |
ADM2_NAME |
ADM2 NAME | string | 100% | - | - |
ADM3_PCODE |
ADM3 PCODE | string | 100% | - | - |
ADM3_NAME |
ADM3 NAME | string | 100% | - | - |
ADM4_PCODE |
ADM4 PCODE | string | 100% | - | - |
ADM4_NAME |
ADM4 NAME | string | 100% | - | - |
Population_group |
Population group | string | 0% | 63 | F_TL, M_TL, T_TL, F_00_04, F_05_09 |
Gender |
Gender | string | 0% | 3 | f, m, all, f, f |
Age_range |
Age range | string | 0% | 21 | all, all, all, 0-4, 5-9 |
Age_min |
Age min | string | 5% | 20 | 0, 5, 10, 15, 20 |
Age_max |
Age max | string | 10% | 19 | 4, 9, 14, 19, 24 |
Population |
Population | string | 0% | 63 | 10210246, 9599265, 19809511, 1465039, 1351780 |
Reference_year |
Reference year | string | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
Source |
Source | string | 0% | 1 | Malawi National Statistics Office, Malawi National... |
Contributor |
Contributor | string | 0% | 1 | UNFPA, UNFPA, UNFPA, UNFPA, UNFPA |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | MW |
region_name |
Region name | string | SEL | 0% | 1 | Malawi |
F_TL |
Female population | integer | SEL | 0% | 1 | 10210246 |
M_TL |
Male population | integer | SEL | 0% | 1 | 9599265 |
T_TL |
Total population | integer | SEL | 0% | 1 | 19809511 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 1465039 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 1351780 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 1237046 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 1155213 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 1010558 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 843152 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 700273 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 566929 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 463668 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 362166 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 284661 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 211173 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 164269 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 129347 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 98431 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 73632 |
F_80_84 |
Female population age 80-84 | integer | 0% | 1 | 48898 |
F_85_89 |
Female population age 85-89 | integer | 0% | 1 | 27364 |
F_90_94 |
Female population age 90-94 | integer | 0% | 1 | 12241 |
F_95Plus |
F_95Plus | integer | 0% | 1 | 4407 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 1490316 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 1353058 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 1237225 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 1082523 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 915309 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 754013 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 625707 |
| +33 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% | 3 | MW2, MW1, MW3 |
region_name |
Region name | string | SEL | 0% | 3 | Central, Northern, Southern |
F_TL |
Female population | integer | SEL | 0% | 3 | 4362901, 1308429, 4538916 |
M_TL |
Male population | integer | SEL | 0% | 3 | 4170978, 1223841, 4204446 |
T_TL |
Total population | integer | SEL | 0% | 3 | 8533879, 2532270, 8743362 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 3 | 603274, 173436, 688329 |
F_05_09 |
Female population age 5-9 | integer | 0% | 3 | 567738, 166161, 617881 |
F_10_14 |
Female population age 10-14 | integer | 0% | 3 | 539973, 165006, 532067 |
F_15_19 |
Female population age 15-19 | integer | 0% | 3 | 492283, 154678, 508252 |
F_20_24 |
Female population age 20-24 | integer | 0% | 3 | 434108, 132709, 443741 |
F_25_29 |
Female population age 25-29 | integer | 0% | 3 | 366398, 107684, 369070 |
F_30_34 |
Female population age 30-34 | integer | 0% | 3 | 305765, 88510, 305998 |
F_35_39 |
Female population age 35-39 | integer | 0% | 3 | 247982, 71036, 247911 |
F_40_44 |
Female population age 40-44 | integer | 0% | 3 | 202498, 59009, 202161 |
F_45_49 |
Female population age 45-49 | integer | 0% | 3 | 157387, 47656, 157123 |
F_50_54 |
Female population age 50-54 | integer | 0% | 3 | 122900, 38244, 123517 |
F_55_59 |
Female population age 55-59 | integer | 0% | 3 | 90270, 29354, 91549 |
F_60_64 |
Female population age 60-64 | integer | 0% | 3 | 69327, 22949, 71993 |
F_65_69 |
Female population age 65-69 | integer | 0% | 3 | 53458, 17592, 58297 |
F_70_74 |
Female population age 70-74 | integer | 0% | 3 | 40563, 13241, 44627 |
F_75_79 |
Female population age 75-79 | integer | 0% | 3 | 30162, 9633, 33837 |
F_80_84 |
Female population age 80-84 | integer | 0% | 3 | 20056, 6195, 22647 |
F_85_89 |
Female population age 85-89 | integer | 0% | 3 | 11378, 3359, 12627 |
F_90_94 |
Female population age 90-94 | integer | 0% | 3 | 5285, 1472, 5484 |
F_95Plus |
F_95Plus | integer | 0% | 3 | 2097, 507, 1803 |
M_00_04 |
Male population age 0-4 | integer | 0% | 3 | 611880, 179241, 699195 |
M_05_09 |
Male population age 5-9 | integer | 0% | 3 | 566095, 163662, 623301 |
M_10_14 |
Male population age 10-14 | integer | 0% | 3 | 535154, 160504, 541567 |
M_15_19 |
Male population age 15-19 | integer | 0% | 3 | 467223, 141246, 474054 |
M_20_24 |
Male population age 20-24 | integer | 0% | 3 | 404513, 117109, 393687 |
M_25_29 |
Male population age 25-29 | integer | 0% | 3 | 340686, 95393, 317934 |
M_30_34 |
Male population age 30-34 | integer | 0% | 3 | 284790, 79660, 261257 |
| +33 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
pcode |
pcode | string | 0% | 32 | MW208, MW204, MW201, MW206, MW210 |
region_name |
region_name | string | 0% | 32 | Dedza District, Dowa District, Kasungu District,... |
admin_level |
admin_level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_TL |
F_TL | integer | 0% | 32 | 485189, 448703, 480470, 582127, 942366 |
M_TL |
M_TL | integer | 0% | 32 | 442905, 430683, 469764, 580417, 888253 |
T_TL |
T_TL | integer | 0% | 32 | 928094, 879386, 950234, 1162544, 1830619 |
F_00_04 |
F_00_04 | integer | 0% | 32 | 66205, 58396, 67120, 74143, 132349 |
F_05_09 |
F_05_09 | integer | 0% | 32 | 63107, 57266, 67378, 65652, 122553 |
F_10_14 |
F_10_14 | integer | 0% | 32 | 58803, 57044, 62319, 65427, 116764 |
F_15_19 |
F_15_19 | integer | 0% | 32 | 53370, 50812, 55352, 66427, 105024 |
F_20_24 |
F_20_24 | integer | 0% | 32 | 45949, 42763, 46366, 72587, 90195 |
F_25_29 |
F_25_29 | integer | 0% | 32 | 39182, 36440, 37982, 65718, 74298 |
F_30_34 |
F_30_34 | integer | 0% | 32 | 32330, 30617, 31681, 53185, 62767 |
F_35_39 |
F_35_39 | integer | 0% | 32 | 26539, 24320, 26501, 40986, 51837 |
F_40_44 |
F_40_44 | integer | 0% | 32 | 22468, 21830, 22113, 27713, 44853 |
F_45_49 |
F_45_49 | integer | 0% | 32 | 18618, 17642, 17127, 17397, 36270 |
F_50_54 |
F_50_54 | integer | 0% | 32 | 14485, 14286, 13907, 12684, 27596 |
F_55_59 |
F_55_59 | integer | 0% | 32 | 11146, 10403, 10049, 7680, 20799 |
F_60_64 |
F_60_64 | integer | 0% | 32 | 9046, 7933, 7645, 5278, 15852 |
F_65_69 |
F_65_69 | integer | 0% | 32 | 7395, 6206, 5045, 2929, 12880 |
F_70_74 |
F_70_74 | integer | 0% | 32 | 6121, 4727, 3914, 1914, 10224 |
F_75_79 |
F_75_79 | integer | 0% | 32 | 4765, 3522, 2721, 1105, 7792 |
F_80_84 |
F_80_84 | integer | 0% | 32 | 2920, 2345, 1817, 714, 5117 |
F_85_89 |
F_85_89 | integer | 0% | 32 | 1652, 1338, 895, 351, 3100 |
F_90_94 |
F_90_94 | integer | 0% | 31 | 773, 602, 387, 167, 1523 |
F_95Plus |
F_95Plus | integer | 0% | 31 | 315, 212, 151, 66, 573 |
M_00_04 |
M_00_04 | integer | 0% | 32 | 67230, 59584, 67752, 74686, 133160 |
M_05_09 |
M_05_09 | integer | 0% | 32 | 62624, 57542, 66791, 63977, 121811 |
| +38 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 29 | bemb1257, fipa1238, kisi1243, koko1267, lamb1272 |
name |
Name | string | CCL | 0% | 29 | Bemba (Zambia), Fipa, Kisi, Kokola, Lambya |
iso639_3 |
Iso639 3 | string | CCL | 0% | 29 | bem, fip, kiz, kzn, lai |
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% | 2 | atla1278, atla1278, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 21 | bemb1256, fipa1240, kisi1244, lolo1269, nyik1250 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 9 | 12, 8, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 3% | 28 | -10.6122, -7.88963, -9.93, -16.2681, -9.49372 |
longitude |
longitude | float | 3% | 28 | 29.2993, 31.3442, 34.4825, 35.5767, 33.15852 |
country_codes |
Country codes | string | 0% | 9 | ['BW', 'CD', 'MW', 'ZM'], ['MW', 'TZ'], ['MW', 'TZ'],... |
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 | 69.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 18.0 |
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 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
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 | 5,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 5000.0 |
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 | 15 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 15.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 69 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | radio is the main broadcast medium; privately owned... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 4.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .mw |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 18% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 17,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 17000.0 |
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/mi.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 | 1600.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 11.009 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 50.7 |
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
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 economy; primarily agrarian;... |
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 | $35.425 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 | 35.425 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $34.789 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 | 34.789 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $34.143 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 | 34.143 |
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 | 1.8% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 1.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 1.9% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 1.9 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 0.9% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 0.9 |
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 | $1,600 (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 | $1,700 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 1700.0 |
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 | $11.009 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 32.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 32.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 28.8% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 28.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 21% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 21.0 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +106 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 | 14.0 |
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
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 | 14% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 54% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 54.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 5.6% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 5.6 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 731,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 731000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 1.585 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 1.585 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 19.938 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 19.938 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 231.785 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 231.785 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 4.2% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 4.2 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.7% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.7 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 92.2% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 92.2 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 3% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 3.0 |
coal_production_text |
coal_production_text | string | 0% | 1 | 3,000 metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 3000.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 22,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 22000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 19,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 19000.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 801.999 million metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 801.999 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 15,000 bbl/day (2023 est.) |
| +5 more extension fields — 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 | 64.2 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 22.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 18.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.41 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.298 |
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
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 | deforestation; land degradation; water pollution from... |
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 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | sub-tropical; rainy season (November to May); dry season... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 64.2% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 42.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 42.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 19.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 19.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 22.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 13.4% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 13.4 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 18.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.41% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 2.265 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 2.265 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 65,000 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 | 65000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 2.2 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 | 2.2 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 18.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 18.5 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 1.298 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 | 9.6% (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 | 9.6 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 143.1 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 143.1 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 47.7 million cubic meters (2022 est.) |
| +7 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 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
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 | Malawian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Malawian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Chewa 34.3%, Lomwe 18.8%, Yao 13.2%, Ngoni 10.4%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 34.3 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 118484.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 94080.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 24404.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2857.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3002.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 37.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 64.2 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 22.4 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 740.0 |
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
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, east of Zambia, west and north of Mozambique |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 13 30 S, 34 00 E |
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 | 118,484 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 94,080 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 24,404 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Pennsylvania |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,857 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Mozambique 1,498 km; Tanzania 512 km; Zambia 847 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1498.0 |
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 | sub-tropical; rainy season (November to May); dry season... |
terrain_text |
terrain_text | string | 0% | 1 | narrow elongated plateau with rolling plains, rounded... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Sapitwa (Mount Mlanje) 3,002 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | junction of the Shire River and international boundary... |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 779 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 779.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | limestone, arable land, hydropower, unexploited deposits... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 64.2% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 42.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 42.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 19.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 19.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 22.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 13.4% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 13.4 |
| +17 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 | MWI |
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 Malawi |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Malawi |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Dziko la Malawi |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Malawi |
country_name_former_text |
country_name_former_text | string | 0% | 1 | British Central African Protectorate, Nyasaland... |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | named for the Maravi people who inhabited the area since... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 14.0 |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Lilongwe |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 13 58 S, 33 47 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 13.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+2 (7 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 2.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | named after the Lilongwe River that flows through the... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 28 districts; Balaka, Blantyre, Chikwawa, Chiradzulu,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 28.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law and customary law;... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1953 (pre-independence), 1964, 1966; latest... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1953.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Assembly; passage of amendments... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Malawi |
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 | 7 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 7.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Peter MUTHARIKA (since 4 October 2025) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 4.0 |
| +71 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Malawi shares its name with the Chewa word for flames... |
background_numeric |
background_numeric | float | 0% | 1 | 1400.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | English (official), Chewa (dominant), Lambya, Lomwe,... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
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 | 56,659 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 56659.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 135,728 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 135728.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
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 | Malawi Defense Force (MDF): Malawi Army (Land Forces),... |
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 | 0.8% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.8 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.8% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.8 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.9% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.9 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.9% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.9 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 10,000 active Malawi Defense Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 10000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the MDF's inventory is comprised of mostly 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 | 18-24 years of age for men and women for voluntary... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 750 Democratic Republic of the Congo (MONUSCO) (2025) |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 750.0 |
military_note_text |
military_note_text | string | 0% | 1 | the MDF’s primary responsibility is external security;... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1964.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 21763309.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 10674594.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 11088715.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 37.7 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 58.4 |
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 | 71.3 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 64.6 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 6.7 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 19.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.16 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 28.04 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 3.57 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -2.9 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 18.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.41 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.01 |
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 | 225.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 28.9 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 73.0 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.33 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.65 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.05 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 70.2 |
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
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 | 21,763,309 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 10,674,594 |
population_female_text |
population_female_text | string | 0% | 1 | 11,088,715 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 37.7% (male 4,080,567/female 4,132,710) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 58.4% (male 6,217,761/female 6,487,273) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.9% (2024 est.) (male 376,266/female 468,732) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 71.3 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 64.6 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 6.7 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 15 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 15.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 19.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 20 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 20.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 20.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 20.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.16% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 28.04 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 3.57 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -2.9 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population density is highest south of Lake Nyasa, as... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 18.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.41% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.276 million LILONGWE (capital), 1.031 million... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.276 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.01 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 0.99 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 0.99 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.96 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.96 |
| +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 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 13.8 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 5.6 |
composition_ethnicity_primary_label_synth |
Chewa | string | CCL | 0% | - | Chewa |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 33.5% (includes Church of Central Africa... |
religions_numeric |
religions_numeric | float | 0% | 1 | 33.5 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mi.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 33.5 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 17.2 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 26.6 |
composition_religion_traditionalist_pct_synth |
traditionalist | numeric | 0% | - | 1.1 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 2.1 |
composition_ethnicity_chewa_pct_synth |
Chewa | numeric | 0% | - | 34.3 |
composition_ethnicity_lomwe_pct_synth |
Lomwe | numeric | 0% | - | 18.8 |
composition_ethnicity_yao_pct_synth |
Yao | numeric | 0% | - | 13.2 |
composition_ethnicity_ngoni_pct_synth |
Ngoni | numeric | 0% | - | 10.4 |
composition_ethnicity_tumbuka_pct_synth |
Tumbuka | numeric | 0% | - | 9.2 |
composition_ethnicity_sena_pct_synth |
Sena | numeric | 0% | - | 3.8 |
composition_ethnicity_mang_anja_pct_synth |
Mang'anja | numeric | 0% | - | 3.2 |
composition_ethnicity_tonga_pct_synth |
Tonga | numeric | 0% | - | 1.8 |
composition_ethnicity_nyanja_pct_synth |
Nyanja | numeric | 0% | - | 1.8 |
composition_ethnicity_nkhonde_pct_synth |
Nkhonde | numeric | 0% | - | 1.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 2.2 |
composition_ethnicity_foreign_pct_synth |
foreign | numeric | 0% | - | 0.3 |
composition_ethnicity_primary_share_pct_synth |
Chewa | numeric | 0% | - | 34.3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 27.0 |
country_code |
Country code | string | SEL | 0% | 1 | MWI |
country_name |
Country name | string | SEL | 0% | 1 | Malawi |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | 7Q |
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 7.0 |
airports_text |
airports_text | string | 0% | 1 | 27 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 767 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 767.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 767 km (2014) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 767.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/mi.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Malawi |
admin_code |
Admin code | string | SEL | 0% | 1 | 68747529B76746634687414 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 95821.3537 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 21636462 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 225.8 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI, MWI, MWI |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 3 | Southern Region, Central Region, Northern Region |
admin_code |
Admin code | string | SEL | 0% | 3 | 82672581B71595037145626, 82672581B12520625652479,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 3 | 32954.688, 35676.5755, 27190.0289 |
pop_2024 |
Population count | integer | SEL | 0% | 3 | 9580410, 9268180, 2787515 |
pop_density_2024 |
Population density | float | SEL | 0% | 3 | 290.71, 259.78, 102.52 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI, MWI, MWI, MWI, MWI |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 8 | Blantyre, Lilongwe, Mzuzu, Likuni, Zomba |
admin_code |
Admin code | integer | SEL | 0% | 8 | 873, 461, 607, 305, 993 |
area_sqkm |
Area sqkm | float | SEL | 0% | 8 | 189.9105, 135.1953, 45.7162, 21.8699, 15.9077 |
pop_2024 |
Population count | integer | SEL | 0% | 8 | 1022954, 885814, 219234, 119474, 85438 |
pop_density_2024 |
Population density | float | SEL | 0% | 8 | 5386.51, 6552.11, 4795.54, 5462.94, 5370.86 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 8 | 941888, 1018798, 223849, 160123, 77471 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 8 | 1.086, 0.869, 0.979, 0.746, 1.103 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI, MWI, MWI, MWI |
society_id |
Society id | string | CCL | 0% | 4 | Ac10, Ac13, Ac36, Ad16 |
society_name |
Society name | string | CCL | 0% | 4 | Chewa, Tonga, Tumbuka, Ngonde |
language_glottocode |
Language glottocode | string | CCL | 0% | 4 | chew1246, tong1321, tumb1250, ngon1268 |
language_name |
Language name | string | CCL | 0% | 1 | , , , |
kinship_system |
Kinship system | string | CCL | 0% | 4 | EA017:1; EA018:1; EA019:4; EA020:4; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 4 | EA006:2; EA007:3; EA008:5; EA009:5; EA023:1; EA025:1,... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 4 | EA001:1; EA002:2; EA003:1; EA004:1; EA005:5; EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA032:3; EA033:3, EA032:3; EA033:1, EA032:3; EA033:3,... |
religion_importance |
Religion importance | string | CCL | 0% | 4 | EA034:1; EA112:8, EA034:2; EA112:3, EA034:3; EA112:6,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 4 | EA010:9; EA011:1; EA012:1; EA013:3; EA014:9, EA010:1;... |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 3 | EA030:7; EA031:3, EA030:6; EA031:2, EA030:7; EA031:NA,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Malawi, Malawi, Malawi, Malawi |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , |
latitude |
latitude | float | 0% | 3 | -14.0, -12.0, -12.0, -10.0 |
longitude |
longitude | float | 0% | 2 | 33.0, 34.0, 34.0, 34.0 |
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 |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and... |
source_url |
source_url | string | 0% | 1 | https://d-place.org, https://d-place.org,... |
license |
license | string | 0% | 1 | CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024, 2024, 2024, 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | MWI, MWI, MWI, MWI |
society_id |
society_id | string | CCL | 0% | 4 | Ac10, Ac13, Ac36, Ad16 |
society_name |
society_name | string | CCL | 0% | 4 | Chewa, Tonga, Tumbuka, Ngonde |
language_glottocode |
language_glottocode | string | CCL | 0% | 4 | chew1246, tong1321, tumb1250, ngon1268 |
language_name |
language_name | string | CCL | 0% | 1 | , , , |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Malawi, Malawi, Malawi, Malawi |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , |
latitude |
latitude | float | 0% | 3 | -14.0, -12.0, -12.0, -10.0 |
longitude |
longitude | float | 0% | 2 | 33.0, 34.0, 34.0, 34.0 |
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 |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and... |
source_url |
source_url | string | 0% | 1 | https://d-place.org, https://d-place.org,... |
license |
license | string | 0% | 1 | CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024, 2024, 2024, 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 0% | 2 | 3, 3, 3, 2 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 0% | 2 | 3, 1, 3, 3 |
religion_high_gods |
religion_high_gods | integer | 0% | 3 | 1, 2, 3, 1 |
trance_states |
trance_states | integer | 0% | 4 | 8, 3, 6, 4 |
settlement_patterns |
settlement_patterns | integer | 0% | 2 | 7, 6, 7, 7 |
mean_size_of_local_communities |
mean_size_of_local_communities | integer | 50% | 2 | 3, 2 |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 4 | 9, 1, 8, 6 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 2 | 1, 1, 1, 2 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 3 | 1, 1, 8, 6 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 2 | 3, 9, 9, 9 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 3 | 9, 10, 11, 11 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 3 | 1, 1, 4, 3 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 2 | 1, 1, 4, 1 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 2 | 4, 4, 1, 1 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 3 | 4, 3, 1, 1 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 1 | 9, 9, 9, 9 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9, 9, 9, 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 0% | 2 | 5, 5, 5, 4 |
descent_major_type |
descent_major_type | integer | 0% | 2 | 3, 3, 1, 1 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 8 | Lilongwe, Blantyre, Mzuzu, Likuni, Zomba |
country_code |
Country code | string | SEL | 0% | 1 | MWI, MWI, MWI, MWI, MWI |
population |
Population count | integer | SEL | 0% | 8 | 1018798, 941888, 223849, 160123, 77471 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 8 | 461, 873, 607, 305, 993 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Malawi, Malawi, Malawi, Malawi, Malawi |
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 | MWI |
gns_language_code |
gns_language_code | string | CCL | 0% | 1 | eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 1 | English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 1 | 6986 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 1 | 100.0 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | MWI |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Malawi |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 1 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9937 |
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 | 15914 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 13149 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 15913 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 1 |
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 | 8827 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 7949 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 2297 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1589 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 3656 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2671 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 925 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 806 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 124 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 101 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 81 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 29 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 3 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 3 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | MWI |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 937932.228571429 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.228571428571429 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 4.25675124403889 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 94280.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.1 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.185524323771919 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 5.9 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 1.65109014511108 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 5.9 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 6.6 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 6.2 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 9.7 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 2.6 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 1.4 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 5.1 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 1.2 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 2.5 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 9.9 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 7.3 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 6.7 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 8.4 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 5.9 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 8.1 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 6.4 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 5.4 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 8.2 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 5.6 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 5.0 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 3.4 |
| +263 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share* | Script |
|---|---|---|---|
| English (eng) | 6,986 | 100.0% | — |
13,149 distinct features ·
1 language ·
0 scripts ·
1 conventional English name
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
* Shares are of the
6,986 names that carry a language
code; the remaining 8,928 of
15,914 are unattributed, so these
percentages do not divide into the headline count.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.