Malawi

MWI Global Data Lab MWI-GDL Development Indices

476 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

MWI GDL - Subnational Indices — 476 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

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

MWI USAID DHS Program MWI-DHS Health Surveys

236 rows · 2 table(s) USAID DHS Program 0 1 2 3 6 SEL 3 CCL 10 ext ▶

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1 Admin 1 — 2 table(s)

MWI DHS - Ethnicity Indicators — 121 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

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

MWI DHS - Health Indicators — 115 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

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

MWI UNHCR Refugee Data Finder MWI-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

MWI UNHCR - Hosted Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

MWI UNHCR - Origin Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

MWI World Bank Open Data MWI-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

MWI World Bank - Development Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

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

MWI World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

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

MWI HDX Subnational Population MWI-HDX-SUBNATIONAL-POP Census

63 rows · 1 table(s) OCHA HDX Humanitarian Data Exchange 0 1 2 3 ▶

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2 Admin 2 — 1 table(s)

MWI Subnational Population — 63 rows, 19 columns

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Field details — 19 fields (type, nulls, unique, samples)

Extension Fields (19) — supplemental data preserved outside core SEL/CCL schema

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

MWI HDX COD — Population Statistics (OCHA/UNFPA) MWI-COD_PS Census Derived Population

36 rows · 2 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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0 Admin 0 — 1 table(s)

MWI Cod Ps - Mwi Codps (admin_0) — 1 rows, 68 columns

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Field details — 68 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Pending (63) — awaiting mapping

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.

1 Admin 1 — 1 table(s)

MWI Cod Ps - Mwi Codps (admin_1) — 35 rows, 68 columns

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Field details — 68 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Pending (63) — awaiting mapping

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.

MWI Glottolog Language Catalog MWI-GLOTTOLOG Language

29 rows · 1 table(s) Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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0 Admin 0 — 1 table(s)

MWI Glottolog - Languages — 29 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

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

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

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	[], [], [], [], []

MWI OpenFactBook MWI-OPENFACTBOOK Country Profile

14 rows · 14 table(s) OpenFactBook 0 1 2 3 92 SEL 3 CCL 547 ext ▶

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0 Admin 0 — 14 table(s)

MWI OpenFactBook - Communications — 1 rows, 22 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

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

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

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

MWI OpenFactBook - Economy — 1 rows, 142 columns

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Field details — 142 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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

Extension Fields (136) — supplemental data preserved outside core SEL/CCL schema

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.

MWI OpenFactBook - Energy — 1 rows, 39 columns

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Field details — 39 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

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

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

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.

MWI OpenFactBook - Environment — 1 rows, 45 columns

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Field details — 45 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

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

Extension Fields (37) — supplemental data preserved outside core SEL/CCL schema

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.

MWI OpenFactBook - Ethnic Groups — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

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

MWI OpenFactBook - Geography — 1 rows, 60 columns

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Field details — 60 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

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

Extension Fields (47) — supplemental data preserved outside core SEL/CCL schema

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.

MWI OpenFactBook - Government — 1 rows, 103 columns

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Field details — 103 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

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

Extension Fields (101) — supplemental data preserved outside core SEL/CCL schema

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.

MWI OpenFactBook - Introduction — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

MWI OpenFactBook - Languages — 1 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

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

MWI OpenFactBook - Migration — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

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

MWI OpenFactBook - Military And Security — 1 rows, 27 columns

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Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

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

MWI OpenFactBook - People And Society — 1 rows, 150 columns

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Field details — 150 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

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

Extension Fields (122) — supplemental data preserved outside core SEL/CCL schema

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.

MWI OpenFactBook - Religions — 1 rows, 28 columns

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Field details — 28 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

Pending (18) — awaiting mapping

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

MWI OpenFactBook - Transportation — 1 rows, 13 columns

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Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

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

MWI LandScan Global (ORNL) MWI-LANDSCAN Modeled Population

12 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

MWI LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

1 Admin 1 — 1 table(s)

MWI LandScan - Population Admin1 (admin_1) — 3 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

Locality Locality — 1 table(s)

MWI LandScan - Cities (locality) — 8 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

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

MWI GHS Urban Centre Database (EU JRC) MWI-GHSL_UCDB Modeled Population

8 rows · 1 table(s) GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

Locality Locality — 1 table(s)

MWI GHS-UCDB - Cities (locality) — 8 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

MWI Afrobarometer MWI-AFROBAROMETER Attitudes Values

5 rows · 5 table(s) Afrobarometer 0 1 2 3 5 SEL 24 CCL 20 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 5 table(s)

MWI Afrobarometer - Economic Indicators — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

MWI Afrobarometer - Gender Indicators — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

MWI Afrobarometer - Governance Indicators — 1 rows, 13 columns

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Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

MWI Afrobarometer - Migration Indicators — 1 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

MWI Afrobarometer - Social Trust Indicators — 1 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

MWI D-PLACE MWI-DPLACE Ethnographic Societies

4 rows · 1 table(s) D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

MWI D-PLACE - Dplace Ea Societies — 4 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

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,...

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

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

MWI Ethnic Power Relations Dataset MWI-EPR Political Ethnicity

3 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

MWI EPR - Groups — 3 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, ,

MWI NGA GEOnet Names Server (GNS) MWI-NGA_GNS Language

2 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

MWI Nga Gns - Language — 1 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

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

MWI Nga Gns - Summary — 1 rows, 29 columns

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Field details — 29 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

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

MWI Global Organized Crime Index MWI-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

MWI Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
OCHA HDX Humanitarian Data Exchange (UN Office for the Coordination of Humanitarian Affairs)	international_organization	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Afrobarometer	academic	api
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
World Bank Open Data	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
Global Data Lab	academic	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download