ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI, MWI, MWI, MWI, MWI |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 14 | Total, Blantyre, Kasungu, Lilongwe, Machinga |
human_development_index |
Human development index | float | SEL | 0% | 78 | 0.336, 0.413, 0.35, 0.322, 0.3 |
health_index |
Health index | float | SEL | 0% | 43 | 0.363, 0.385, 0.355, 0.358, 0.36 |
education_index |
Education index | float | SEL | 0% | 88 | 0.294, 0.452, 0.343, 0.26, 0.215 |
income_index |
Income index | float | SEL | 0% | 51 | 0.356, 0.406, 0.353, 0.36, 0.348 |
life_expectancy |
Life expectancy | float | SEL | 0% | 84 | 43.58, 45.05, 43.1, 43.24, 43.43 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 95 | 4.413, 7.896, 5.417, 4.31, 2.657 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 8 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_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 | 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% | 35 | MW2, MW1, MW3, MW208, MW204 |
region_name |
Region name | string | SEL | 0% | 35 | Central, Northern, Southern, Dedza District, Dowa District |
F_TL |
Female population | integer | SEL | 0% | 35 | 4362901, 1308429, 4538916, 485189, 448703 |
M_TL |
Male population | integer | SEL | 0% | 35 | 4170978, 1223841, 4204446, 442905, 430683 |
T_TL |
Total population | integer | SEL | 0% | 35 | 8533879, 2532270, 8743362, 928094, 879386 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 2 | admin_1, admin_1, admin_1, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2023, 2023, 2023, 2023, 2023 |
F_00_04 |
Female population age 0-4 | integer | 0% | 35 | 603274, 173436, 688329, 66205, 58396 |
F_05_09 |
Female population age 5-9 | integer | 0% | 35 | 567738, 166161, 617881, 63107, 57266 |
F_10_14 |
Female population age 10-14 | integer | 0% | 35 | 539973, 165006, 532067, 58803, 57044 |
F_15_19 |
Female population age 15-19 | integer | 0% | 35 | 492283, 154678, 508252, 53370, 50812 |
F_20_24 |
Female population age 20-24 | integer | 0% | 35 | 434108, 132709, 443741, 45949, 42763 |
F_25_29 |
Female population age 25-29 | integer | 0% | 35 | 366398, 107684, 369070, 39182, 36440 |
F_30_34 |
Female population age 30-34 | integer | 0% | 35 | 305765, 88510, 305998, 32330, 30617 |
F_35_39 |
Female population age 35-39 | integer | 0% | 35 | 247982, 71036, 247911, 26539, 24320 |
F_40_44 |
Female population age 40-44 | integer | 0% | 35 | 202498, 59009, 202161, 22468, 21830 |
F_45_49 |
Female population age 45-49 | integer | 0% | 35 | 157387, 47656, 157123, 18618, 17642 |
F_50_54 |
Female population age 50-54 | integer | 0% | 35 | 122900, 38244, 123517, 14485, 14286 |
F_55_59 |
Female population age 55-59 | integer | 0% | 35 | 90270, 29354, 91549, 11146, 10403 |
F_60_64 |
Female population age 60-64 | integer | 0% | 35 | 69327, 22949, 71993, 9046, 7933 |
F_65_69 |
Female population age 65-69 | integer | 0% | 35 | 53458, 17592, 58297, 7395, 6206 |
F_70_74 |
Female population age 70-74 | integer | 0% | 35 | 40563, 13241, 44627, 6121, 4727 |
F_75_79 |
Female population age 75-79 | integer | 0% | 35 | 30162, 9633, 33837, 4765, 3522 |
F_80_84 |
Female population age 80-84 | integer | 0% | 35 | 20056, 6195, 22647, 2920, 2345 |
F_85_89 |
Female population age 85-89 | integer | 0% | 35 | 11378, 3359, 12627, 1652, 1338 |
F_90_94 |
Female population age 90-94 | integer | 0% | 34 | 5285, 1472, 5484, 773, 602 |
F_95Plus |
F_95Plus | integer | 0% | 34 | 2097, 507, 1803, 315, 212 |
M_00_04 |
Male population age 0-4 | integer | 0% | 35 | 611880, 179241, 699195, 67230, 59584 |
M_05_09 |
Male population age 5-9 | integer | 0% | 35 | 566095, 163662, 623301, 62624, 57542 |
M_10_14 |
Male population age 10-14 | integer | 0% | 35 | 535154, 160504, 541567, 59153, 56609 |
M_15_19 |
Male population age 15-19 | integer | 0% | 35 | 467223, 141246, 474054, 50009, 49160 |
M_20_24 |
Male population age 20-24 | integer | 0% | 35 | 404513, 117109, 393687, 40758, 41704 |
M_25_29 |
Male population age 25-29 | integer | 0% | 35 | 340686, 95393, 317934, 34316, 34960 |
M_30_34 |
Male population age 30-34 | integer | 0% | 35 | 284790, 79660, 261257, 27928, 28782 |
| +33 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% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 9 | ['BW', 'CD', 'MW', 'ZM'], ['MW', 'TZ'], ['MW', 'TZ'],... |
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 |
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_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .mw |
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_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 |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | 7Q |
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_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 |
|---|---|---|---|---|---|---|
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 |
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 | MWI |
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 | MWI |
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 | MWI |
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 | MWI |
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 | 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 | EA001:1; EA002:2; EA003:1; EA004:1; EA005:5, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 4 | EA006:2; EA007:3; EA008:5; EA009:5; EA010:9, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 4 | EA028:3; EA029:6; EA030:7; EA031:3; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA033:3; EA034:1; EA035:NA, EA033:1; EA034:2; EA035:NA,... |
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 | EA011:1; EA012:1; EA013:3, EA011:1; EA012:1; EA013:9,... |
| 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | MWI, MWI, MWI |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 3 | Southerners (Lomwe, Mang'anja, Nyanja, Yao), Central... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | JUNIOR PARTNER, SENIOR PARTNER, JUNIOR PARTNER |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.46, 0.4, 0.14 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 3 | 55301000, 55302000, 55303000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | 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 | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | MWI |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 75 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 6 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 6 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 6 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 120 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 4.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 4.5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | integer | 0% | 1 | 4 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 30 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 6 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 126 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 2.5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | float | 0% | 1 | 2.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 160 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.2 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 3.5 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 3.75 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 119 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.77 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.15 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | integer | 0% | 1 | 4 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 143 |
| +103 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| English (eng) | 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.
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.