Mali

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

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

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1 Admin 1 — 1 table(s)

MLI Cod Ps - Mli Codps (admin_1) — 9 rows, 8 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	9	ML09, ML07, ML01, ML08, ML02
`region_name`	Admin name	string	SEL	0%	1	Mali (le), Mali (le), Mali (le), Mali (le), Mali (le)
`M_TL`	Population male	integer	SEL	0%	9	1118704, 334781, 1211809, 44784, 1480352
`F_TL`	Population female	integer	SEL	0%	9	1112640, 333629, 1245395, 38706, 1504986
`T_TL`	Population count	integer	SEL	0%	9	2231344, 668410, 2457204, 83490, 2985338

Pending (3) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	string	100%	-	-
`admin1Name_fr`	admin1Name_fr	string	0%	9	Bamako, Gao, Kayes, Kidal, Koulikoro

2 Admin 2 — 1 table(s)

MLI Cod Ps - Mli Codps (admin_2) — 751 rows, 8 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	ML0801, ML0701, ML0101, ML0901, ML0201
`region_name`	Admin name	string	SEL	0%	1	Mali (le), Mali (le), Mali (le), Mali (le), Mali (le)
`M_TL`	Population male	integer	SEL	0%	100	6764, 81604, 141258, 1118704, 117219
`F_TL`	Population female	integer	SEL	0%	100	5926, 81033, 146721, 1112640, 118202
`T_TL`	Population count	integer	SEL	0%	100	12690, 162637, 287979, 2231344, 235421

Pending (3) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	2	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	string	100%	-	-
`admin2Name_fr`	admin2Name_fr	string	50%	50	Abeibara, Ansongo, Bafoulabe, Bamako, Banamba

MLI Global Data Lab MLI-GDL Development Indices

306 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)

MLI GDL - Subnational Indices — 306 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	MLI, MLI, MLI, MLI, MLI
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	9	Total, Bamako, Gao and Kidal, Kayes, Koulikoro
`human_development_index`	Human development index	float	SEL	0%	80	0.262, 0.426, 0.328, 0.244, 0.249
`health_index`	Health index	float	SEL	0%	64	0.408, 0.488, 0.414, 0.407, 0.416
`education_index`	Education index	float	SEL	0%	87	0.108, 0.313, 0.198, 0.09, 0.093
`income_index`	Income index	float	SEL	0%	56	0.41, 0.507, 0.432, 0.396, 0.4
`life_expectancy`	Life expectancy	float	SEL	0%	96	46.54, 51.69, 46.92, 46.44, 47.02
`mean_years_schooling`	Mean years schooling	float	SEL	0%	100	1.618, 5.525, 2.926, 1.291, 1.259

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	12	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

MLI UNHCR Refugee Data Finder MLI-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)

MLI 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%	-	-

MLI 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%	-	-

MLI USAID DHS Program MLI-DHS Health Surveys

149 rows · 2 table(s) USAID DHS Program 0 1 2 3 7 SEL 3 CCL 10 ext ▶

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1 Admin 1 — 2 table(s)

MLI DHS - Ethnicity Indicators — 78 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%	70	20.5, 19.5, 35.2, 23.2, 14.2
`men_who_are_literate`	Men who are literate	float	CCL	27%	53	35.7, 27.0, 39.8, 38.8, 58.6

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	Mali, Mali, Mali, Mali, Mali
`survey_year`	survey_year	integer	0%	7	2006, 2018, 2021, 2023, 2006
`region`	region	string	0%	13	....Gao, ....Gao, ....Gao, ....Gao, ....Kidal
`survey_id`	survey_id	string	0%	7	ML2006DHS, ML2018DHS, ML2021MIS, ML2023DHS, ML2006DHS
`survey_type`	survey_type	string	0%	2	DHS, DHS, MIS, DHS, DHS

MLI DHS - Health Indicators — 71 rows, 12 columns

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Field details — 12 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	52	3.6, 2.8, 3.0, 9.9, 1.7
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	54	68.0, 47.0, 45.0, 37.0, 17.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	57	136.0, 78.0, 65.0, 83.0, 20.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	68	44.5, 21.8, 29.9, 9.6, 0.0
`children_underweight`	Children underweight	float	CCL	6%	62	27.0, 24.3, 30.4, 28.7, 16.9
`hiv_prevalence_pct`	Hiv prevalence percent	float	SEL	59%	14	1.1, 0.6, 0.5, 1.9, 0.7

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	Mali, Mali, Mali, Mali, Mali
`survey_year`	survey_year	integer	0%	7	2006, 2018, 2023, 2006, 2018
`region`	region	string	0%	14	....Gao, ....Gao, ....Gao, ....Kidal, ....Kidal
`survey_id`	survey_id	string	0%	7	ML2006DHS, ML2018DHS, ML2023DHS, ML2006DHS, ML2018DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MLI World Bank Open Data MLI-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)

MLI 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	ML, ML, ML, ML, ML
`population_count`	Population count	float	SEL	2%	65	5402550.0, 5482283.0, 5563917.0, 5646605.0, 5730125.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	30.459, 30.637, 30.833, 31.02, 31.231
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	12%	58	45.9854448702914, 56.5137530466331, 55.0226859514125,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	88%	8	9.43000030517578, 19.0400009155273, 24.0,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	8%	61	426.3, 418.9, 411.8, 404.8, 397.9
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	76%	15	50.9, 41.7, 41.1, 45.4, 47.1

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	Mali, Mali, Mali, Mali, Mali
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

MLI 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	ML, ML, ML, ML, ML
`life_expectancy`	Life expectancy	float	SEL	3%	64	30.459, 30.637, 30.833, 31.02, 31.231
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	9%	60	100.2, 99.4, 99.0, 98.5, 98.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	8%	61	426.3, 418.9, 411.8, 404.8, 397.9
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	39	1217.0, 1184.0, 1142.0, 1128.0, 1106.0
`fertility_rate`	Fertility rate	float	SEL	3%	62	7.019, 7.031, 7.038, 7.046, 7.055
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	62	50.784, 50.791, 50.71, 50.627, 50.537
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	34.347, 34.171, 33.977, 33.793, 33.58
`physicians_per_1000`	Physicians per 1000	float	SEL	53%	25	0.014, 0.019, 0.023, 0.023, 0.039
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	79%	9	0.668505728244781, 0.679099977016449, 0.714299976825714,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	39%	27	8.0, 8.0, 8.0, 18.0, 26.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	5.4663372, 4.51952076, 4.99775982, 5.05061436, 5.21768713

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	Mali, Mali, Mali, Mali, Mali
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

MLI Glottolog Language Catalog MLI-GLOTTOLOG Language

79 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)

MLI Glottolog - Languages — 79 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%	79	ampa1238, anat1248, bama1249, bamb1269, bang1363
`name`	Name	string	CCL	0%	79	Ampari Dogon, Ana Tinga Dogon, Langue de Signes...
`iso639_3`	Iso639 3	string	CCL	4%	76	aqd, dti, bog, bam, dba
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	3%	8	dogo1299, dogo1299, sign1238, mand1469, mand1469
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	3%	45	pena1272, yand1256, deaf1237, east2425, duun1245
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	23	['ML'], ['ML'], ['ML'], ['CI', 'GN', 'ML', 'SN'], ['ML']
`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%	12	0, 0, 0, 7, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	3%	77	14.15, 14.6669, 12.651, 12.9, 14.8116
`longitude`	longitude	float	3%	77	-3.55, -3.1168, -8.00136, -7.65, -3.77092
`classification`	classification	string	0%	1	[], [], [], [], []

MLI LandScan Global (ORNL) MLI-LANDSCAN Modeled Population

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

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0 Admin 0 — 1 table(s)

MLI 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	MLI
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Mali
`admin_code`	Admin code	string	SEL	0%	1	8439793B10633040606991
`area_sqkm`	Area sqkm	float	SEL	0%	1	1254303.3517
`pop_2024`	Population count	integer	SEL	0%	1	22000058
`pop_density_2024`	Population density	float	SEL	0%	1	17.54

1 Admin 1 — 1 table(s)

MLI LandScan - Population Admin1 (admin_1) — 9 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	MLI, MLI, MLI, MLI, MLI
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	9	Sikasso, Koulikouro, Segou, Mopti, Kayes
`admin_code`	Admin code	string	SEL	0%	9	92416918B9364304684584, 92416918B61022065682725,...
`area_sqkm`	Area sqkm	float	SEL	0%	9	71720.981, 90525.8121, 61995.6213, 79223.8593, 122568.7473
`pop_2024`	Population count	integer	SEL	0%	9	3998069, 3666177, 3550811, 3084218, 3021823
`pop_density_2024`	Population density	float	SEL	0%	9	55.74, 40.5, 57.28, 38.93, 24.65

Locality Locality — 1 table(s)

MLI LandScan - Cities (locality) — 22 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	MLI, MLI, MLI, MLI, MLI
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	22	Bamako, Sikasso, Ségou, Kayes, Koutiala
`admin_code`	Admin code	integer	SEL	0%	22	391, 1580, 1281, 49, 1768
`area_sqkm`	Area sqkm	float	SEL	0%	22	404.5337, 67.5797, 48.7071, 42.7478, 46.7141
`pop_2024`	Population count	integer	SEL	0%	22	3119085, 292464, 258392, 208817, 201556
`pop_density_2024`	Population density	float	SEL	0%	22	7710.32, 4327.69, 5305.02, 4884.86, 4314.67

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%	22	3960563, 423182, 286478, 287391, 286417
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	22	0.788, 0.691, 0.902, 0.727, 0.704

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

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

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Locality Locality — 1 table(s)

MLI GHS-UCDB - Cities (locality) — 22 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%	22	Bamako, Sikasso, Kayes, Ségou, Koutiala
`country_code`	Country code	string	SEL	0%	1	MLI, MLI, MLI, MLI, MLI
`population`	Population count	integer	SEL	0%	22	3960563, 423182, 287391, 286478, 286417

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	22	391, 1580, 49, 1281, 1768
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Mali, Mali, Mali, Mali, Mali
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MLI OpenFactBook MLI-OPENFACTBOOK Country Profile

15 rows · 15 table(s) OpenFactBook 0 1 2 3 96 SEL 3 CCL 546 ext ▶

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0 Admin 0 — 15 table(s)

MLI 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	1.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	112.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.ml
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	35.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	1.0
`country_code`	Country code	string	SEL	0%	1	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`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	307,000 (2022 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	307000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2022 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	25.9 million (2022 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	25.9
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	112 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	national public TV broadcaster; 2 privately owned...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	35% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	179,000 (2022 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	179000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2022 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/ml.json

MLI OpenFactBook - Economy — 1 rows, 147 columns

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Field details — 147 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	2900.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	26.588
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	44.6
`country_code`	Country code	string	SEL	0%	1	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (141) — 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 Saharan economy; recession due to COVID-19...
`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	$71.253 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	71.253
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$67.857 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	67.857
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$64.8 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	64.8
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	5% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	5.0
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	4.7% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	4.7
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	3.5% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	3.5
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$2,900 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$2,900 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	2900.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$2,800 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	2800.0
`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	$26.588 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	3.2% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	3.2
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	2.1% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	2.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	9.6% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	9.6
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+111 more extension fields — download the CSV/Parquet to see them all.

MLI OpenFactBook - Energy — 1 rows, 35 columns

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Field details — 35 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	53.0
`country_code`	Country code	string	SEL	0%	1	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (31) — 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	53% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	99.7%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	99.7
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	18.3%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	18.3
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	1.222 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	1.222
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	4.261 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	4.261
`electricity_exports_text`	electricity_exports_text	string	0%	1	661.63 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	661.63
`electricity_imports_text`	electricity_imports_text	string	0%	1	880 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	880.0
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	320.616 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	320.616
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	57.3% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	57.3
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	3.5% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	3.5
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	37.6% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	37.6
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1.6% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.6
`coal_imports_text`	coal_imports_text	string	0%	1	36 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	36.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	46,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	46000.0
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text	string	0%	1	4.307 million Btu/person (2023 est.)
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric	float	0%	1	4.307
`source_section`	source_section	string	0%	1	Energy
+1 more extension field — download the CSV/Parquet to see them all.

MLI OpenFactBook - Environment — 1 rows, 46 columns

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Field details — 46 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	35.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	8.8
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	46.2
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.57
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	1.937
`country_code`	Country code	string	SEL	0%	1	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (38) — 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; soil erosion; desertification; loss of...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Nuclear Test Ban
`climate_text`	climate_text	string	0%	1	subtropical to arid; hot and dry (February to June);...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	35.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 6.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	6.8
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.2% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.2
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 28.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	28.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	8.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	55.8% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	55.8
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	46.2% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.57% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	6.858 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	6.858
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	83 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	83.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	6.858 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	6.858
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	48.5 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	48.5
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	1.937 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	10.4% (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	10.4
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	107 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	107.0
+8 more extension fields — download the CSV/Parquet to see them all.

MLI 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	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`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	Malian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Malian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Bambara 33.3%, Fulani (Peuhl) 13.3%,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	33.3
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/ml.json

MLI OpenFactBook - Geography — 1 rows, 56 columns

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Field details — 56 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	1240192.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	1220190.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	20002.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	7908.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	1155.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	23.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	35.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	8.8
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	3780.0
`country_code`	Country code	string	SEL	0%	1	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (43) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	interior Western Africa, southwest of Algeria, north of...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	17 00 N, 4 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	17.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	1,240,192 sq km
`area_land_text`	area_land_text	string	0%	1	1,220,190 sq km
`area_water_text`	area_water_text	string	0%	1	20,002 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly less than twice the size of Texas
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	7,908 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Algeria 1,359 km; Burkina Faso 1,325 km; Cote d'Ivoire...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	1359.0
`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	subtropical to arid; hot and dry (February to June);...
`terrain_text`	terrain_text	string	0%	1	mostly flat to rolling northern plains covered by sand;...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Hombori Tondo 1,155 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Senegal River 23 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	343 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	343.0
`natural_resources_text`	natural_resources_text	string	0%	1	gold, phosphates, kaolin, salt, limestone, uranium,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	35.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 6.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	6.8
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.2% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.2
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 28.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	28.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	8.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	55.8% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	55.8
+13 more extension fields — download the CSV/Parquet to see them all.

MLI OpenFactBook - Government — 1 rows, 100 columns

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Field details — 100 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	MLI
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (98) — 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 Mali
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Mali
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	République de Mali
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Mali
`country_name_former_text`	country_name_former_text	string	0%	1	French Sudan, Sudanese Republic, Mali Federation
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	name derives from the Mali Empire of the 13th to 16th...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	13.0
`government_type_text`	government_type_text	string	0%	1	semi-presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Bamako
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	12 39 N, 8 00 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	12.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC 0 (5 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	0.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the origin of the name is unclear, but it comes from the...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	19 regions (régions, singular - région), 1 district*;...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	19.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the French civil law model and...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest drafted 13 October 2022 and...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	13.0
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Mali
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`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	Transition President Assimi GOITA (since 7 June 2021)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	7.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Transition Prime Minister Abdoulaye MAIGA (since 22...
+68 more extension fields — download the CSV/Parquet to see them all.

MLI 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	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`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	Present-day Mali is named after the Mali Empire that...
`background_numeric`	background_numeric	float	0%	1	13.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/ml.json

MLI OpenFactBook - Languages — 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	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`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
`languages_text`	languages_text	string	0%	1	Bambara (official), French 17.2%,...
`languages_numeric`	languages_numeric	float	0%	1	17.2
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/ml.json

MLI 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	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`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	135,827 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	135827.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	378,363 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	378363.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/ml.json

MLI OpenFactBook - Military And Security — 1 rows, 25 columns

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Field details — 25 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	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — 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	Malian Armed Forces (Forces Armées Maliennes or FAMa):...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	4.3% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	4.3
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	4% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	4.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	3.5% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	3.5
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	3.4% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	3.4
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	3.4% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	3.4
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	information varies; estimated 35-40,000 active FAMa,...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	35.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the FAMa's inventory includes mostly Soviet-era weapons...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	18 years of age for men and women for selective...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the FAMa is responsible for the defense of the country’s...
`military_note_numeric`	military_note_numeric	float	0%	1	2020.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/ml.json

MLI OpenFactBook - People And Society — 1 rows, 152 columns

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Field details — 152 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	22634423.0
`population_male_numeric`	Population male	float	SEL	0%	1	10999331.0
`population_female_numeric`	Population female	float	SEL	0%	1	11635092.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	46.8
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	50.1
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	3.1
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	98.5
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	92.3
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	6.2
`median_age_total_numeric`	Median age	float	SEL	0%	1	16.5
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	2.88
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	39.44
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	7.87
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-2.82
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	46.2
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.57
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.03
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.95
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	367.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	55.8
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	63.2
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	5.26
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	2.59
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.19
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	0.2
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	35.5
`country_code`	Country code	string	SEL	0%	1	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (123) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	22,634,423 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	10,999,331
`population_female_text`	population_female_text	string	0%	1	11,635,092
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	46.8% (male 5,175,714/female 5,114,128)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	50.1% (male 5,178,742/female 5,842,456)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	3.1% (2024 est.) (male 334,299/female 345,268)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	98.5 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	92.3 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	6.2 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	16.2 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	16.2
`median_age_total_text`	median_age_total_text	string	0%	1	16.5 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	15.7 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	15.7
`median_age_female_text`	median_age_female_text	string	0%	1	17.1 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	17.1
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	2.88% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	39.44 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	7.87 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-2.82 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	the overwhelming majority of the population lives in the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	46.2% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.57% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	2.929 million BAMAKO (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	2.929
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.03 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.01 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.01
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.89 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.89
+93 more extension fields — download the CSV/Parquet to see them all.

MLI OpenFactBook - Religions — 1 rows, 25 columns

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Field details — 25 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	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	93.9
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	2.8
`composition_ethnicity_primary_label_synth`	Bambara	string	CCL	0%	-	Bambara

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	Muslim 93.9%, Christian 2.8%, animist 0.7%, none 2.5% (2018 est.)
`religions_numeric`	religions_numeric	float	0%	1	93.9
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/ml.json

Pending (15) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_animist_pct_synth`	animist	numeric	0%	-	0.7
`composition_religion_none_pct_synth`	none	numeric	0%	-	2.5
`composition_ethnicity_bambara_pct_synth`	Bambara	numeric	0%	-	33.3
`composition_ethnicity_fulani_peuhl_pct_synth`	Fulani (Peuhl)	numeric	0%	-	13.3
`composition_ethnicity_sarakole_soninke_marka_pct_synth`	Sarakole/Soninke/Marka	numeric	0%	-	9.8
`composition_ethnicity_senufo_manianka_pct_synth`	Senufo/Manianka	numeric	0%	-	9.6
`composition_ethnicity_malinke_pct_synth`	Malinke	numeric	0%	-	8.8
`composition_ethnicity_dogon_pct_synth`	Dogon	numeric	0%	-	8.7
`composition_ethnicity_sonrai_pct_synth`	Sonrai	numeric	0%	-	5.9
`composition_ethnicity_bobo_pct_synth`	Bobo	numeric	0%	-	2.1
`composition_ethnicity_tuareg_bella_pct_synth`	Tuareg/Bella	numeric	0%	-	1.7
`composition_ethnicity_other_malian_pct_synth`	other Malian	numeric	0%	-	6.0
`composition_ethnicity_from_members_of_economic_community_of_west_africa_pct_synth`	from members of Economic Community of West Africa	numeric	0%	-	0.4
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	0.3
`composition_ethnicity_primary_share_pct_synth`	Bambara	numeric	0%	-	33.3

MLI OpenFactBook - Terrorism — 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	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`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
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	Ansar al-Dine; Islamic State of Iraq and ash-Sham in the...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	africa/ml.json

MLI OpenFactBook - Transportation — 1 rows, 14 columns

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Field details — 14 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	TZ, TT
`airports_numeric`	Airports count	float	SEL	0%	1	30.0
`country_code`	Country code	string	SEL	0%	1	MLI
`country_name`	Country name	string	SEL	0%	1	Mali
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	30 (2025)
`heliports_text`	heliports_text	string	0%	1	4 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	4.0
`railways_total_text`	railways_total_text	string	0%	1	593 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	593.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	593 km (2014) 1.000-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	593.0
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/ml.json

MLI D-PLACE MLI-DPLACE Ethnographic Societies

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

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0 Admin 0 — 1 table(s)

MLI D-PLACE - Dplace Ea Societies — 13 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	MLI, MLI, MLI, MLI, MLI
`society_id`	Society id	string	CCL	0%	13	Ag1, Ag22, Ag23, Ag28, Ag3
`society_name`	Society name	string	CCL	0%	13	Bambara, Serer, Kasonke, Nononke, Dogon
`language_glottocode`	Language glottocode	string	CCL	0%	11	bamb1269, sere1260, xaas1235, jena1242, bank1259
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	11	EA001:2; EA002:0; EA003:1; EA004:2; EA005:5, EA001:1;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	9	EA006:1; EA007:2; EA008:8; EA009:5; EA010:8, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	12	EA028:5; EA029:6; EA030:7; EA031:7; EA032:4, EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	6	EA033:2; EA034:1; EA035:NA, EA033:3; EA034:NA; EA035:NA,...
`religion_importance`	Religion importance	string	CCL	0%	6	EA034:1; EA112:3, EA034:NA; EA112:NA, EA034:NA;...
`residence_pattern`	Residence pattern	string	CCL	0%	4	EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; 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	Mali, Mali, Mali, Mali, Mali
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	9	13.0, 14.0, 13.0, 14.0, 15.0
`longitude`	longitude	float	0%	10	-7.0, -12.0, -11.0, -4.0, -3.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate

MLI Afrobarometer MLI-AFROBAROMETER Attitudes Values

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

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0 Admin 0 — 5 table(s)

MLI 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	MLI
`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

MLI 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	MLI
`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

MLI 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	MLI
`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

MLI 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	MLI
`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

MLI 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	MLI
`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

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

5 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 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 — 2 table(s)

MLI Nga Gns - Language — 4 rows, 9 columns

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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	MLI, MLI, MLI, MLI
`gns_language_code`	gns_language_code	string	CCL	0%	4	fra, ara, eng, rus
`gns_language_name`	gns_language_name	string	CCL	0%	4	French, Arabic, English, Russian
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	6013, 60, 19, 13
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	98.493, 0.9828, 0.3112, 0.2129
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0, 0

MLI Nga Gns - Summary — 1 rows, 27 columns

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Field details — 27 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	MLI
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Mali
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9882
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	33893
`gns_feature_count`	gns_feature_count	integer	0%	1	24517
`gns_endonym_count`	gns_endonym_count	integer	0%	1	33889
`gns_exonym_count`	gns_exonym_count	integer	0%	1	4
`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_hydrographic`	gns_name_count_hydrographic	integer	0%	1	6195
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	3974
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	20861
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	15687
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	664
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	528
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	4383
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	2984
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1384
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1075
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	238
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	199
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	168
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	70

MLI Ethnic Power Relations Dataset MLI-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)

MLI 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	MLI, MLI, MLI
`ethnic_group_name`	Ethnic group name	string	CCL	0%	3	Blacks (Mande, Peul, Voltaic etc.), Tuareg, Arabs/Moors
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	SENIOR PARTNER, JUNIOR PARTNER, JUNIOR PARTNER
`ethnic_population_share`	Ethnic population share	float	CCL	0%	3	0.9, 0.07, 0.03
`ethnic_group_id`	Ethnic group id	float	CCL	0%	3	43201000, 43202000, 43203000
`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	, ,

MLI Global Organized Crime Index MLI-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)

MLI 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

Language	Place names	Share	Script
French (fra)	6,013	98.5%	—
Arabic (ara)	60	1.0%	—
English (eng)	19	0.3%	—
Russian (rus)	13	0.2%	—

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