Mauritania

MRT Global Data Lab MRT-GDL Development Indices

442 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)

MRT GDL - Subnational Indices — 442 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	MRT, MRT, MRT, MRT, MRT
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	13	Total, Adrar, Assaba, Brakna, Gorgol
`human_development_index`	Human development index	float	SEL	0%	83	0.415, 0.393, 0.389, 0.376, 0.343
`health_index`	Health index	float	SEL	0%	81	0.586, 0.482, 0.668, 0.622, 0.579
`education_index`	Education index	float	SEL	0%	86	0.205, 0.221, 0.164, 0.153, 0.125
`income_index`	Income index	float	SEL	0%	62	0.597, 0.569, 0.537, 0.561, 0.556
`life_expectancy`	Life expectancy	float	SEL	0%	99	58.09, 51.3, 63.41, 60.43, 57.62
`mean_years_schooling`	Mean years schooling	float	SEL	0%	98	3.071, 3.032, 2.105, 2.037, 1.661

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

MRT UNHCR Refugee Data Finder MRT-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)

MRT 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%	-	-

MRT 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%	-	-

MRT World Bank Open Data MRT-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)

MRT 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	MR, MR, MR, MR, MR
`population_count`	Population count	float	SEL	2%	65	824298.0, 846167.0, 869184.0, 893423.0, 918955.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	43.611, 44.307, 45.047, 45.794, 46.581
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	3%	64	188.158401597739, 188.995146612769, 188.249348047987,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	94%	4	51.2099990844727, 62.0699996948242, 65.1100006103516,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	63	253.4, 246.5, 240.0, 233.6, 226.8
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	89%	7	56.5, 50.5, 51.0, 46.7, 42.0

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

MRT 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	MR, MR, MR, MR, MR
`life_expectancy`	Life expectancy	float	SEL	3%	64	43.611, 44.307, 45.047, 45.794, 46.581
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	63	59.2, 58.9, 58.6, 58.4, 58.3
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	63	253.4, 246.5, 240.0, 233.6, 226.8
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	37	998.0, 961.0, 914.0, 887.0, 883.0
`fertility_rate`	Fertility rate	float	SEL	3%	63	6.149, 6.199, 6.244, 6.312, 6.37
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	46.249, 46.602, 46.8, 47.119, 47.315
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	20.04, 19.68, 19.271, 18.857, 18.407
`physicians_per_1000`	Physicians per 1000	float	SEL	68%	20	0.024, 0.027, 0.056, 0.055, 0.069
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	91%	6	0.20484359562397, 0.34400001168251, 0.344300001859665,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	33%	31	18.0, 20.0, 20.0, 21.0, 27.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	3.37824655, 3.5718379, 4.00224972, 4.03254652, 3.70429492

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

MRT USAID DHS Program MRT-DHS Health Surveys

33 rows · 2 table(s) USAID DHS Program 0 1 2 3 5 SEL 3 CCL 10 ext ▶

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1 Admin 1 — 2 table(s)

MRT DHS - Ethnicity Indicators — 14 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%	14	76.9, 49.8, 54.7, 86.9, 31.1
`men_who_are_literate`	Men who are literate	float	CCL	0%	14	96.0, 68.4, 64.8, 92.9, 53.4

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	Mauritania, Mauritania, Mauritania, Mauritania, Mauritania
`survey_year`	survey_year	integer	0%	1	2020, 2020, 2020, 2020, 2020
`region`	region	string	0%	14	Adrar, Assaba, Brakna, Dakhlet Nouadhibou, Gorgol
`survey_id`	survey_id	string	0%	1	MR2020DHS, MR2020DHS, MR2020DHS, MR2020DHS, MR2020DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MRT DHS - Health Indicators — 19 rows, 10 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	16	69.0, 41.0, 36.0, 31.0, 42.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	18	85.0, 53.0, 43.0, 38.0, 51.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	19	54.3, 38.3, 43.1, 36.9, 39.8
`children_underweight`	Children underweight	float	CCL	0%	19	18.8, 19.1, 15.2, 3.9, 21.7

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	Mauritania, Mauritania, Mauritania, Mauritania, Mauritania
`survey_year`	survey_year	integer	0%	2	2020, 2020, 2020, 2020, 2020
`region`	region	string	0%	19	Adrar, Assaba, Brakna, Dakhlet Nouadhibou, Gorgol
`survey_id`	survey_id	string	0%	2	MR2020DHS, MR2020DHS, MR2020DHS, MR2020DHS, MR2020DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MRT LandScan Global (ORNL) MRT-LANDSCAN Modeled Population

20 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)

MRT 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	MRT
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Mauritania
`admin_code`	Admin code	string	SEL	0%	1	45414712B39761203107443
`area_sqkm`	Area sqkm	float	SEL	0%	1	1035114.8661
`pop_2024`	Population count	integer	SEL	0%	1	4301053
`pop_density_2024`	Population density	float	SEL	0%	1	4.16

1 Admin 1 — 1 table(s)

MRT LandScan - Population Admin1 (admin_1) — 13 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	MRT, MRT, MRT, MRT, MRT
`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%	13	Nouakchott, Hodh ech Chargui, Gorgol, Assaba, Hodh el Gharbi
`admin_code`	Admin code	string	SEL	0%	13	64602211B45475199809733, 64602211B22115476481884,...
`area_sqkm`	Area sqkm	float	SEL	0%	13	1497.8095, 186370.1014, 13796.2057, 35873.9478, 50276.1866
`pop_2024`	Population count	integer	SEL	0%	13	1267947, 533985, 396531, 395548, 376228
`pop_density_2024`	Population density	float	SEL	0%	13	846.53, 2.87, 28.74, 11.03, 7.48

Locality Locality — 1 table(s)

MRT LandScan - Cities (locality) — 6 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	MRT, MRT, MRT, MRT, MRT
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	6	Nouakchott, Nouadhibou, Kiffa, Kaédi, Zouérat
`admin_code`	Admin code	integer	SEL	0%	6	222, 41, 675, 386, 533
`area_sqkm`	Area sqkm	float	SEL	0%	6	177.0372, 37.8101, 19.8879, 9.9433, 9.953
`pop_2024`	Population count	integer	SEL	0%	6	1178965, 135042, 72010, 57944, 44639
`pop_density_2024`	Population density	float	SEL	0%	6	6659.42, 3571.59, 3620.79, 5827.44, 4484.98

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%	6	1625384, 177469, 89005, 61350, 50285
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	6	0.725, 0.761, 0.809, 0.944, 0.888

MRT OpenFactBook MRT-OPENFACTBOOK Country Profile

15 rows · 15 table(s) OpenFactBook 0 1 2 3 95 SEL 1 CCL 573 ext ▶

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0 Admin 0 — 15 table(s)

MRT 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	92.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.mr
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	37.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2022.0
`country_code`	Country code	string	SEL	0%	1	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`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	48,000 (2022 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	48000.0
`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	4.76 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	4.76
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	92 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	12 TV stations, 6 state-owned and 6 private; 19 radio...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	12.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	37% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	14,000 (2022 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	14000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	(2022 est.) less than 1
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/mr.json

MRT OpenFactBook - Economy — 1 rows, 150 columns

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Field details — 150 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	6400.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	10.767
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	31.8
`country_code`	Country code	string	SEL	0%	1	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (144) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	lower middle-income West African economy; primarily...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$33.069 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	33.069
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$31.434 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	31.434
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$29.514 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	29.514
`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	5.2% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	5.2
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	6.5% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	6.5
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	6.8% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	6.8
`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	$6,400 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$6,300 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	6300.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$6,100 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	6100.0
`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	$10.767 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	2.5% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	2.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	5% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	5.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	9.5% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	9.5
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	18.6% (2024 est.)
+114 more extension fields — download the CSV/Parquet to see them all.

MRT 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	49.0
`country_code`	Country code	string	SEL	0%	1	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`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	49% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	91.6%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	91.6
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	812,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	812000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	1.7 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	1.7
`electricity_imports_text`	electricity_imports_text	string	0%	1	378 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	378.0
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	320 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	320.0
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	72.4% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	72.4
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	8.5% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	8.5
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	6.3% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	6.3
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	12.8% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	12.8
`coal_imports_text`	coal_imports_text	string	0%	1	1 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	1.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	32,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	32000.0
`petroleum_crude_oil_estimated_reserves_text`	petroleum_crude_oil_estimated_reserves_text	string	0%	1	20 million barrels (2021 est.)
`petroleum_crude_oil_estimated_reserves_numeric`	petroleum_crude_oil_estimated_reserves_numeric	float	0%	1	20.0
`natural_gas_proven_reserves_text`	natural_gas_proven_reserves_text	string	0%	1	28.317 billion cubic meters (2021 est.)
`natural_gas_proven_reserves_numeric`	natural_gas_proven_reserves_numeric	float	0%	1	28.317
`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	14.135 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	14.135
`source_section`	source_section	string	0%	1	Energy
+1 more extension field — download the CSV/Parquet to see them all.

MRT OpenFactBook - Environment — 1 rows, 43 columns

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Field details — 43 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	38.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	1.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	57.7
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.84
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	454000.0
`country_code`	Country code	string	SEL	0%	1	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`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
`environmental_issues_text`	environmental_issues_text	string	0%	1	desertification caused in part by overgrazing,...
`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	desert; constantly hot, dry, dusty
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	38.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 0.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	0.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 38.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	38.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	1% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	60.5% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	60.5
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	57.7% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.84% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	4.86 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	4.86
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	4.86 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	4.86
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	35.1 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	35.1
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	454,000 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% (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	10.0
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	95.4 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	95.4
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	31.8 million cubic meters (2022 est.)
`total_water_withdrawal_industrial_numeric`	total_water_withdrawal_industrial_numeric	float	0%	1	31.8
`total_water_withdrawal_agricultural_text`	total_water_withdrawal_agricultural_text	string	0%	1	1.223 billion cubic meters (2022 est.)
+5 more extension fields — download the CSV/Parquet to see them all.

MRT 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	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`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	Mauritanian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Mauritanian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Black Moors (Haratines - Arabic-speaking descendants of...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	40.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/mr.json

MRT OpenFactBook - Geography — 1 rows, 61 columns

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Field details — 61 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	1030700.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	1030700.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	5002.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	754.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	915.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	-5.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	38.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	1.0
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	450.0
`country_code`	Country code	string	SEL	0%	1	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (48) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Western Africa, bordering the North Atlantic Ocean,...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	20 00 N, 12 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	20.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	1,030,700 sq km
`area_land_text`	area_land_text	string	0%	1	1,030,700 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly larger than three times the size of New Mexico;...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	5,002 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Algeria 460 km; Mali 2,236 km; Morocco 1,564 km; Senegal 742 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	460.0
`coastline_text`	coastline_text	string	0%	1	754 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	200 nm or to the edge of the continental margin
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	desert; constantly hot, dry, dusty
`terrain_text`	terrain_text	string	0%	1	mostly barren, flat plains of the Sahara; some central hills
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Kediet Ijill 915 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Sebkhet Te-n-Dghamcha -5 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	276 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	276.0
`natural_resources_text`	natural_resources_text	string	0%	1	iron ore, gypsum, copper, phosphate, diamonds, gold, oil, fish
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	38.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 0.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	0.4
+18 more extension fields — download the CSV/Parquet to see them all.

MRT OpenFactBook - Government — 1 rows, 104 columns

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Field details — 104 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	MRT
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (102) — 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	Islamic Republic of Mauritania
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Mauritania
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Al Jumhuriyah al Islamiyah al Muritaniyah
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Muritaniyah
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	named for the ancient kingdom of Mauretania (3rd century...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	3.0
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Nouakchott
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	18 04 N, 15 58 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	18.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC 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 meaning of the name is unclear; it may derive from...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	15 regions (wilayas, singular - wilaya); Adrar, Assaba,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	15.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of Islamic and French civil law
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1964; latest adopted 12 July 1991
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1964.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the president of the republic or by...
`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 Mauritania
`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	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	President Mohamed Ould Cheikh el GHAZOUANI (since 1 August 2019)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	1.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Prime Minister Moctar Ould DIAY (since 2 August 2024)
+72 more extension fields — download the CSV/Parquet to see them all.

MRT 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	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`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	The Amazigh and Bafour people were among the earliest...
`background_numeric`	background_numeric	float	0%	1	1960.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/mr.json

MRT OpenFactBook - Languages — 1 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	0%	1	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Arabic (official and national), Pular, Soninke, Wolof...
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	كتاب حقائق العالم، المصدر الذي لا يمكن الاستغناء عنه...
`languages_note`	languages_note	string	0%	1	note: the spoken Arabic in Mauritania differs...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/mr.json

MRT OpenFactBook - Migration — 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	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`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
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	162,277 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	162277.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/mr.json

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

Loading data…

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	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`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	Mauritanian Armed Forces (aka Armée Nationale...
`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	2.4% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	2.4
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	2.5% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	2.5
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	2.5% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	2.5
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	2.4% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	2.4
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	2.5% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	2.5
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimated 17,000 active Mauritanian Armed Forces;...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	17000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory is limited and made up largely...
`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 is the legal minimum age for voluntary military...
`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	450 (plus about 325 police) Central African Republic...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	450.0
`military_note_text`	military_note_text	string	0%	1	founded in 1960, the Mauritanian military is responsible...
`military_note_numeric`	military_note_numeric	float	0%	1	1960.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/mr.json

MRT 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	5202109.0
`population_male_numeric`	Population male	float	SEL	0%	1	2578114.0
`population_female_numeric`	Population female	float	SEL	0%	1	2623995.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	35.7
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	59.9
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	4.4
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	84.7
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	77.8
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	7.0
`median_age_total_numeric`	Median age	float	SEL	0%	1	18.6
`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	34.01
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	5.18
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	0.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	57.7
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.84
`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	0.93
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	381.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	29.9
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	65.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	4.76
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	2.34
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.26
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	59.5
`country_code`	Country code	string	SEL	0%	1	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`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	5,202,109 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	2,578,114
`population_female_text`	population_female_text	string	0%	1	2,623,995
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	35.7% (male 776,035/female 770,132)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	59.9% (male 1,227,347/female 1,363,938)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	4.4% (2024 est.) (male 80,308/female 110,280)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	84.7 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	77.8 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	7 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	14.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	14.3
`median_age_total_text`	median_age_total_text	string	0%	1	18.6 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	21.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	21.1
`median_age_female_text`	median_age_female_text	string	0%	1	23.1 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	23.1
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	2.88% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	34.01 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	5.18 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	0 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	vast areas of the country, particularly in the central,...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	57.7% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.84% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	1.492 million NOUAKCHOTT (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	1.492
`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	0.9 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.9
+92 more extension fields — download the CSV/Parquet to see them all.

MRT OpenFactBook - Religions — 1 rows, 13 columns

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Field details — 13 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	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_ethnicity_primary_label_synth`	Black Moors (Haratines - Arabic-speaking descendants of African origin who are or were enslaved by White Moors)	string	CCL	0%	-	Black Moors (Haratines - Arabic-speaking descendants of...

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 (official) 100%
`religions_numeric`	religions_numeric	float	0%	1	100.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/mr.json

Pending (5) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_muslim_official_pct_synth`	Muslim (official)	numeric	0%	-	100.0
`composition_ethnicity_black_moors_haratines_arabic_speaking_descendants_of_african_origin_who_are_or_were_enslaved_by_white_moors_pct_synth`	Black Moors (Haratines - Arabic-speaking descendants of African origin who are or were enslaved by White Moors)	numeric	0%	-	40.0
`composition_ethnicity_white_moors_of_arab_amazigh_descent_known_as_beydane_pct_synth`	White Moors (of Arab-Amazigh descent, known as Beydane)	numeric	0%	-	30.0
`composition_ethnicity_sub_saharan_mauritanians_non_arabic_speaking_largely_resident_in_or_originating_from_the_senegal_river_valley_including_halpulaar_fulani_soninke_wolof_and_bambara_ethnic_groups_pct_synth`	Sub-Saharan Mauritanians (non-Arabic speaking, largely resident in or originating from the Senegal River Valley, including Halpulaar, Fulani, Soninke, Wolof, and Bambara ethnic groups)	numeric	0%	-	30.0
`composition_ethnicity_primary_share_pct_synth`	Black Moors (Haratines - Arabic-speaking descendants of African origin who are or were enslaved by White Moors)	numeric	0%	-	40.0

MRT 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	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`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	Al-Qa'ida in the Islamic Maghreb (AQIM)
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	africa/mr.json

MRT OpenFactBook - Transportation — 1 rows, 32 columns

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Field details — 32 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	5T
`airports_numeric`	Airports count	float	SEL	0%	1	25.0
`country_code`	Country code	string	SEL	0%	1	MRT
`country_name`	Country name	string	SEL	0%	1	Mauritania
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (27) — 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	5.0
`airports_text`	airports_text	string	0%	1	25 (2025)
`heliports_text`	heliports_text	string	0%	1	3 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	3.0
`railways_total_text`	railways_total_text	string	0%	1	728 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	728.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	728 km (2014) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	728.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	11 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	11.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 2, other 9
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	2.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	2 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	2.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	1
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	1.0
`ports_small_text`	ports_small_text	float	0%	1	1
`ports_small_numeric`	ports_small_numeric	float	0%	1	1.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	0
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	0.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	2
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	2.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Nouadhibou, Nouakchott
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/mr.json

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

14 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)

MRT Cod Ps - Mrt Codps (admin_0) — 1 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	MR
`region_name`	Region name	string	SEL	0%	1	Mauritania
`F_TL`	Female population	string	SEL	0%	1	2,199,480
`M_TL`	Male population	string	SEL	0%	1	2,172,559
`T_TL`	Total population	string	SEL	0%	1	4,372,038

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2022
`year`	year	integer	0%	1	2022
`F_00_04`	Female population age 0-4	string	0%	1	300,948
`F_05_09`	Female population age 5-9	string	0%	1	271,299
`F_10_14`	Female population age 10-14	string	0%	1	281,680
`F_15_19`	Female population age 15-19	string	0%	1	243,985
`F_20_24`	Female population age 20-24	string	0%	1	205,847
`F_25_29`	Female population age 25-29	string	0%	1	175,660
`F_30_34`	Female population age 30-34	string	0%	1	149,406
`F_35_39`	Female population age 35-39	string	0%	1	127,388
`F_40_44`	Female population age 40-44	string	0%	1	105,471
`F_45_49`	Female population age 45-49	string	0%	1	87,495
`F_50_54`	Female population age 50-54	string	0%	1	71,249
`F_55_59`	Female population age 55-59	string	0%	1	56,291
`F_60_64`	Female population age 60-64	string	0%	1	43,039
`F_65_69`	Female population age 65-69	string	0%	1	31,104
`F_70_74`	Female population age 70-74	string	0%	1	20,615
`F_75_79`	Female population age 75-79	string	0%	1	13,058
`F_80Plus`	F_80Plus	string	0%	1	14,940
`M_00_04`	Male population age 0-4	string	0%	1	314,834
`M_05_09`	Male population age 5-9	string	0%	1	285,237
`M_10_14`	Male population age 10-14	string	0%	1	297,441
`M_15_19`	Male population age 15-19	string	0%	1	249,225
`M_20_24`	Male population age 20-24	string	0%	1	201,404
`M_25_29`	Male population age 25-29	string	0%	1	166,185
`M_30_34`	Male population age 30-34	string	0%	1	136,579
`M_35_39`	Male population age 35-39	string	0%	1	114,528
`M_40_44`	Male population age 40-44	string	0%	1	93,075
`M_45_49`	Male population age 45-49	string	0%	1	77,194
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

MRT Cod Ps - Mrt Codps (admin_1) — 13 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	13	MR01, MR02, MR03, MR04, MR05
`region_name`	Region name	string	SEL	0%	13	Adrar, Assaba, Brakna, Dakhlet-Nouadhibou, Gorgol
`F_TL`	Female population	integer	SEL	0%	13	31242, 215455, 176957, 66282, 201471
`M_TL`	Male population	integer	SEL	0%	13	29601, 189935, 157794, 91539, 186991
`T_TL`	Total population	integer	SEL	0%	13	60843, 405389, 334750, 157821, 388461

Pending (54) — 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`	Reference year	integer	0%	1	2022, 2022, 2022, 2022, 2022
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022
`F_00_04`	Female population age 0-4	integer	0%	13	3848, 31425, 25363, 8499, 31768
`F_05_09`	Female population age 5-9	integer	0%	13	3540, 27634, 22582, 7964, 27712
`F_10_14`	Female population age 10-14	integer	0%	13	3761, 27834, 23085, 8145, 27581
`F_15_19`	Female population age 15-19	integer	0%	13	3309, 23592, 19605, 7041, 22958
`F_20_24`	Female population age 20-24	integer	0%	13	2803, 19338, 15890, 6489, 18274
`F_25_29`	Female population age 25-29	integer	0%	13	2406, 16195, 13169, 6512, 14859
`F_30_34`	Female population age 30-34	integer	0%	13	2096, 13826, 11003, 5491, 12142
`F_35_39`	Female population age 35-39	integer	0%	13	1860, 11870, 9404, 4294, 10151
`F_40_44`	Female population age 40-44	integer	0%	13	1630, 9893, 7888, 3811, 8294
`F_45_49`	Female population age 45-49	integer	0%	13	1437, 8352, 6767, 2487, 6930
`F_50_54`	Female population age 50-54	integer	0%	13	1238, 6756, 5686, 2204, 5632
`F_55_59`	Female population age 55-59	integer	0%	13	1023, 5468, 4730, 1236, 4537
`F_60_64`	Female population age 60-64	integer	0%	13	784, 4291, 3881, 968, 3539
`F_65_69`	Female population age 65-69	integer	0%	13	574, 3276, 2946, 466, 2651
`F_70_74`	Female population age 70-74	integer	0%	13	374, 2330, 2003, 289, 1825
`F_75_79`	Female population age 75-79	integer	0%	13	227, 1672, 1270, 175, 1239
`F_80Plus`	F_80Plus	integer	0%	13	333, 1706, 1683, 208, 1380
`M_00_04`	Male population age 0-4	integer	0%	13	3818, 33876, 27013, 8758, 33298
`M_05_09`	Male population age 5-9	integer	0%	13	3585, 29211, 23729, 8285, 28937
`M_10_14`	Male population age 10-14	integer	0%	13	3903, 28341, 23644, 9086, 28411
`M_15_19`	Male population age 15-19	integer	0%	13	3329, 21872, 18613, 9131, 22218
`M_20_24`	Male population age 20-24	integer	0%	13	2652, 15331, 13366, 10712, 16018
`M_25_29`	Male population age 25-29	integer	0%	13	2187, 11552, 10111, 10489, 12096
`M_30_34`	Male population age 30-34	integer	0%	13	1826, 9098, 7760, 8731, 9266
`M_35_39`	Male population age 35-39	integer	0%	13	1595, 7688, 6392, 6893, 7558
`M_40_44`	Male population age 40-44	integer	0%	13	1355, 6623, 5267, 5937, 6120
`M_45_49`	Male population age 45-49	integer	0%	13	1190, 5761, 4537, 4192, 5171
+24 more pending fields — download the CSV/Parquet to see them all.

MRT Glottolog Language Catalog MRT-GLOTTOLOG Language

10 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)

MRT Glottolog - Languages — 10 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%	10	amer1248, hass1238, imer1236, koyr1240, maas1239
`name`	Name	string	CCL	0%	10	American Sign Language, Hassaniyya, Imeraguen, Koyra...
`iso639_3`	Iso639 3	string	CCL	0%	10	ase, mey, ime, khq, ffm
`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%	6	sign1238, afro1255, book1242, song1307, atla1278
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	9	amer1258, west3017, book1242, nort2822, fula1264
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	8	['BB', 'BF', 'BJ', 'BO', 'CA', 'CD', 'CF', 'CI', 'CN',...
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	4	2, 0, 0, 2, 2

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	10	33.8117, 18.29, 18.37331, 16.192, 11.1324
`longitude`	longitude	float	0%	10	-81.6121, -14.11, -16.34726, -3.73962, -3.64763
`classification`	classification	string	0%	1	[], [], [], [], []

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

6 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)

MRT GHS-UCDB - Cities (locality) — 6 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%	6	Nouakchott, Nouadhibou, Fassala, Kiffa, Kaédi
`country_code`	Country code	string	SEL	0%	1	MRT, MRT, MRT, MRT, MRT
`population`	Population count	integer	SEL	0%	6	1625384, 177469, 114618, 89005, 61350

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	6	222, 41, 814, 675, 386
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Mauritania, Mauritania, Mauritania, Mauritania, Mauritania
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MRT Afrobarometer MRT-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)

MRT 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	MRT
`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

MRT 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	MRT
`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

MRT 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	MRT
`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

MRT 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	MRT
`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

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

Loading data…

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	MRT
`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

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

5 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)

MRT Nga Gns - Language — 4 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	MRT, MRT, MRT, MRT
`gns_language_code`	gns_language_code	string	CCL	0%	4	ara, fra, eng, deu
`gns_language_name`	gns_language_name	string	CCL	0%	4	Arabic, French, English, German
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	2557, 392, 23, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	86.0074, 13.1853, 0.7736, 0.0336
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	2	1269, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	2	Arab, , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	2	Arabic, , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	2	1, 0, 0, 0

MRT Nga Gns - Summary — 1 rows, 29 columns

Loading data…

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	MRT
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Mauritania
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	1
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9919
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	1269

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	24547
`gns_feature_count`	gns_feature_count	integer	0%	1	16195
`gns_endonym_count`	gns_endonym_count	integer	0%	1	24545
`gns_exonym_count`	gns_exonym_count	integer	0%	1	2
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	6366
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	3797
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	5410
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	3006
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	9936
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	7679
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	1281
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	701
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	208
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	16
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1322
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	976
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	19
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	16
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	5
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	4

MRT D-PLACE MRT-DPLACE Ethnographic Societies

3 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)

MRT D-PLACE - Dplace Ea Societies — 3 rows, 18 columns

Loading data…

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	MRT, MRT, MRT
`society_id`	Society id	string	CCL	0%	3	Cc1, Cc19, Cc20
`society_name`	Society name	string	CCL	0%	3	Regeibat, Trarza, Zenaga
`language_glottocode`	Language glottocode	string	CCL	0%	2	hass1238, hass1238, zena1248
`language_name`	Language name	string	CCL	0%	1	, ,
`kinship_system`	Kinship system	string	CCL	0%	3	EA001:0; EA002:1; EA003:0; EA004:7; EA005:2, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	2	EA006:1; EA007:8; EA008:7; EA009:2; EA010:8, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	3	EA028:6; EA029:4; EA030:2; EA031:NA; EA032:4, EA028:6;...
`political_complexity`	Political complexity	string	CCL	0%	2	EA033:4; EA034:4; EA035:NA, EA033:4; EA034:4; EA035:NA,...
`religion_importance`	Religion importance	string	CCL	0%	2	EA034:4; EA112:8, EA034:4; EA112:NA, EA034:4; EA112:NA
`residence_pattern`	Residence pattern	string	CCL	0%	1	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	Mauritania, Mauritania, Mauritania
`dataset`	dataset	string	0%	1	EA, EA, EA
`region`	region	string	0%	1	, ,
`latitude`	latitude	float	0%	2	22.0, 18.0, 18.0
`longitude`	longitude	float	0%	3	-13.0, -15.0, -8.0
`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

MRT Ethnic Power Relations Dataset MRT-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)

MRT EPR - Groups — 3 rows, 8 columns

Loading data…

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	MRT, MRT, MRT
`ethnic_group_name`	Ethnic group name	string	CCL	0%	3	Haratins (Black Moors), White Moors (Beydan), Black Africans
`ethnic_power_status`	Ethnic power status	string	CCL	0%	3	JUNIOR PARTNER, SENIOR PARTNER, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	2	0.4, 0.3, 0.3
`ethnic_group_id`	Ethnic group id	float	CCL	0%	3	43502000, 43501000, 43503000
`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	, ,

MRT Global Organized Crime Index MRT-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)

MRT 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
Arabic (ara)	2,557	86.0%	Arabic
French (fra)	392	13.2%	—
English (eng)	23	0.8%	—

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
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
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