Mauritius

MUS UNHCR Refugee Data Finder MUS-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)

MUS 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%	-	-

MUS 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%	-	-

MUS Global Data Lab MUS-GDL Development Indices

136 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)

MUS GDL - Subnational Indices — 136 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	MUS, MUS, MUS, MUS, MUS
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	4	Total, North (Port Louis, Pamplemousses, Riviere du...
`human_development_index`	Human development index	float	SEL	0%	84	0.661, 0.657, 0.583, 0.668, 0.667
`health_index`	Health index	float	SEL	0%	25	0.766, 0.766, 0.766, 0.766, 0.77
`education_index`	Education index	float	SEL	0%	91	0.554, 0.549, 0.407, 0.565, 0.561
`income_index`	Income index	float	SEL	0%	76	0.681, 0.675, 0.636, 0.688, 0.686
`life_expectancy`	Life expectancy	float	SEL	0%	25	69.77, 69.77, 69.77, 69.77, 70.05
`mean_years_schooling`	Mean years schooling	float	SEL	0%	96	8.31, 8.242, 6.106, 8.478, 8.419

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	25	1990, 1990, 1990, 1990, 1991
`level`	level	string	0%	2	national, subnational, subnational, subnational, national

MUS World Bank Open Data MUS-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)

MUS 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	MU, MU, MU, MU, MU
`population_count`	Population count	float	SEL	2%	65	680331.0, 680757.0, 700349.0, 718861.0, 736381.0
`life_expectancy`	Life expectancy	float	SEL	3%	62	58.4614146341463, 59.5666829268293, 60.4433902439024,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	238.251033437494, 281.683081448637, 282.342386236302,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	85%	10	79.870002746582, 84.3000030517578, 89.25,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	50	102.0, 98.2, 93.1, 87.2, 84.0
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	96%	3	7.9, 10.4, 8.4

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

MUS 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	MU, MU, MU, MU, MU
`life_expectancy`	Life expectancy	float	SEL	3%	62	58.4614146341463, 59.5666829268293, 60.4433902439024,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	17%	43	30.0, 30.3, 30.2, 29.4, 28.1
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	50	102.0, 98.2, 93.1, 87.2, 84.0
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	27	111.0, 106.0, 103.0, 93.0, 85.0
`fertility_rate`	Fertility rate	float	SEL	3%	56	5.897, 5.982, 5.877, 6.18, 5.956
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	56	39.407, 39.7, 38.8, 40.4, 38.9
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	30	10.111, 9.8, 9.3, 9.7, 8.7
`physicians_per_1000`	Physicians per 1000	float	SEL	46%	36	0.215, 0.255, 0.24, 0.235, 0.521
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	50%	29	4.71666669845581, 3.95160007476807, 3.29970002174377,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	16	89.0, 82.0, 94.0, 89.0, 85.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	2.85734653, 2.92151856, 3.18897271, 3.18201613, 3.31652546

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

MUS LandScan Global (ORNL) MUS-LANDSCAN Modeled Population

14 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)

MUS 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	MUS
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Mauritius
`admin_code`	Admin code	string	SEL	0%	1	6221475B96225440771281
`area_sqkm`	Area sqkm	float	SEL	0%	1	1998.7163
`pop_2024`	Population count	integer	SEL	0%	1	1254147
`pop_density_2024`	Population density	float	SEL	0%	1	627.48

1 Admin 1 — 1 table(s)

MUS LandScan - Population Admin1 (admin_1) — 12 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	MUS, MUS, MUS, MUS, MUS
`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%	12	Plaines Wilhems, Pamplemousses, Flacq, Rivière du...
`admin_code`	Admin code	string	SEL	0%	12	65221844B21568199301359, 65221844B91551715822340,...
`area_sqkm`	Area sqkm	float	SEL	0%	12	197.4579, 179.7817, 297.2464, 146.2792, 40.5798
`pop_2024`	Population count	integer	SEL	0%	12	384550, 149531, 133495, 108396, 101778
`pop_density_2024`	Population density	float	SEL	0%	12	1947.5, 831.74, 449.11, 741.02, 2508.1

Locality Locality — 1 table(s)

MUS LandScan - Cities (locality) — 1 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	MUS
`admin_level`	Admin level	string	SEL	0%	1	locality
`admin_name`	Admin name	string	SEL	0%	1	Port Louis
`admin_code`	Admin code	integer	SEL	0%	1	159
`area_sqkm`	Area sqkm	float	SEL	0%	1	135.3109
`pop_2024`	Population count	integer	SEL	0%	1	545369
`pop_density_2024`	Population density	float	SEL	0%	1	4030.49

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%	1	557431
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	1	0.978

MUS OpenFactBook MUS-OPENFACTBOOK Country Profile

14 rows · 14 table(s) OpenFactBook 0 1 2 3 93 SEL 3 CCL 534 ext ▶

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0 Admin 0 — 14 table(s)

MUS 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	36.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	173.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.mu
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	80.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	27.0
`country_code`	Country code	string	SEL	0%	1	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`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	464,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	464000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	36 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	2.2 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	2.2
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	173 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	the Mauritius Broadcasting Corporation (MBC) is the...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	17.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	80% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	343,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	343000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	27 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/mp.json

MUS OpenFactBook - Economy — 1 rows, 155 columns

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Field details — 155 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	27300.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	14.953
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	10.3
`country_code`	Country code	string	SEL	0%	1	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (149) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	upper middle-income Indian Ocean island economy;...
`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	$34.406 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	34.406
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$32.864 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	32.864
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$31.296 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	31.296
`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	4.7% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	4.7
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	5% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	5.0
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	8.7% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	8.7
`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	$27,300 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$26,100 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	26100.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$24,800 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	24800.0
`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	$14.953 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	3.6% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	3.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	7.1% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	7.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	10.8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	10.8
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+119 more extension fields — download the CSV/Parquet to see them all.

MUS 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	100.0
`country_code`	Country code	string	SEL	0%	1	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`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	100% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	99%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	99.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	100%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	100.0
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	955,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	955000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	3.084 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	3.084
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	179.996 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	179.996
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	82.4% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	82.4
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	4.6% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	4.6
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	0.3% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	0.3
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	2.9% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	2.9
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	9.9% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	9.9
`coal_consumption_text`	coal_consumption_text	string	0%	1	651,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	651000.0
`coal_imports_text`	coal_imports_text	string	0%	1	610,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	610000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	28,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	28000.0
`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	60.188 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	60.188
`source_section`	source_section	string	0%	1	Energy
+1 more extension field — download the CSV/Parquet to see them all.

MUS OpenFactBook - Environment — 1 rows, 45 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	43.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	19.2
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	40.9
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.28
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	438000.0
`country_code`	Country code	string	SEL	0%	1	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	water pollution, degradation of coral reefs; soil...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Marine Living Resources, Biodiversity, Climate...
`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	tropical, modified by southeast trade winds; warm, dry...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	43% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 37.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	37.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	2.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 3.5% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	3.5
`land_use_forest_text`	land_use_forest_text	string	0%	1	19.2% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	37.8% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	37.8
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	40.9% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.28% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	5.551 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	5.551
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	1.495 million 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	1.495
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	4.056 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	4.056
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	10.5 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	10.5
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	438,000 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	15.9% (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	15.9
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	320 million cubic meters (2022)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	320.0
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	10 million cubic meters (2022)
+7 more extension fields — download the CSV/Parquet to see them all.

MUS OpenFactBook - Ethnic Groups — 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	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`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
`nationality_noun_text`	nationality_noun_text	string	0%	1	Mauritian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Mauritian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Indo-Mauritian (compose approximately two thirds of the...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/mp.json

MUS OpenFactBook - Geography — 1 rows, 54 columns

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Field details — 54 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	2040.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	2030.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	10.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	0.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	177.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	828.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	43.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	19.2
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	143.0
`country_code`	Country code	string	SEL	0%	1	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (41) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern Africa, island in the Indian Ocean, about 800...
`location_numeric`	location_numeric	float	0%	1	800.0
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	20 17 S, 57 33 E
`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	2,040 sq km
`area_land_text`	area_land_text	string	0%	1	2,030 sq km
`area_water_text`	area_water_text	string	0%	1	10 sq km
`area_note`	area_note	string	0%	1	note: includes Agalega Islands, Cargados Carajos Shoals...
`area_comparative_text`	area_comparative_text	string	0%	1	almost 11 times the size of Washington, D.C.
`area_comparative_numeric`	area_comparative_numeric	float	0%	1	11.0
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	0 km
`coastline_text`	coastline_text	string	0%	1	177 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_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
`maritime_claims_note`	maritime_claims_note	string	0%	1	note: measured from claimed archipelagic straight baselines
`climate_text`	climate_text	string	0%	1	tropical, modified by southeast trade winds; warm, dry...
`terrain_text`	terrain_text	string	0%	1	small coastal plain rising to discontinuous mountains...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Mont Piton 828 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Indian Ocean 0 m
`natural_resources_text`	natural_resources_text	string	0%	1	arable land, fish
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	43% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 37.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	37.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	2.0
+11 more extension fields — download the CSV/Parquet to see them all.

MUS OpenFactBook - Government — 1 rows, 107 columns

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Field details — 107 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	MUS
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (105) — 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 Mauritius
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Mauritius
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republic of Mauritius
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Mauritius
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	named after Prince Maurice VAN NASSAU, stadtholder...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1598.0
`country_name_note`	country_name_note	string	0%	1	note: pronounced mahr-ish-us
`government_type_text`	government_type_text	string	0%	1	parliamentary republic
`capital_name_text`	capital_name_text	string	0%	1	Port Louis
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	20 09 S, 57 29 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	20.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+4 (9 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	4.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	named after LOUIS XV, who was king of France in 1736...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1736.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	9 districts and 3 dependencies; Agalega Islands, Black...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	9.0
`legal_system_text`	legal_system_text	string	0%	1	civil system based on French civil law with some...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted 12 March 1968
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	12.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the National Assembly; passage of amendments...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	yes
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	yes
`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 out of the previous 7 years including the last 12 months
`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 Dharam GOKHOOL (since 7 December 2024)
+75 more extension fields — download the CSV/Parquet to see them all.

MUS 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	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`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	Although known to Arab and European sailors since at...
`background_numeric`	background_numeric	float	0%	1	1500.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/mp.json

MUS 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	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`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	Creole 86.5%, Bhojpuri 5.3%, French 4.1%, two languages...
`languages_numeric`	languages_numeric	float	0%	1	86.5
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/mp.json

MUS 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	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`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	82 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	82.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	39 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	39.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/mp.json

MUS OpenFactBook - Military And Security — 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	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`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
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	no regular military forces; the Mauritius Police Force...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_note_text`	military_note_text	string	0%	1	key security priorities for the Maritius Police Force...
`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/mp.json

MUS OpenFactBook - People And Society — 1 rows, 134 columns

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Field details — 134 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	1311375.0
`population_male_numeric`	Population male	float	SEL	0%	1	639707.0
`population_female_numeric`	Population female	float	SEL	0%	1	671668.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	15.1
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	71.0
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	13.9
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	41.7
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	21.1
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	20.5
`median_age_total_numeric`	Median age	float	SEL	0%	1	40.0
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.06
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	9.73
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	9.14
`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	40.9
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.28
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.07
`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	66.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	11.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	75.4
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.36
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.66
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	1.44
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	3.7
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	94.3
`country_code`	Country code	string	SEL	0%	1	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (105) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	1,311,375 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	639,707
`population_female_text`	population_female_text	string	0%	1	671,668
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	15.1% (male 100,973/female 96,711)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	71% (male 462,833/female 467,509)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	13.9% (2024 est.) (male 75,464/female 107,014)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	41.7 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	21.1 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	20.5 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	4.9 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	4.9
`median_age_total_text`	median_age_total_text	string	0%	1	40 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	38.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	38.1
`median_age_female_text`	median_age_female_text	string	0%	1	41 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	41.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.06% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	9.73 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	9.14 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	population density is one of the highest in the world;...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	40.9% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.28% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	149,000 PORT LOUIS (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	149000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.07 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.99 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.99
+75 more extension fields — download the CSV/Parquet to see them all.

MUS OpenFactBook - Religions — 1 rows, 18 columns

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Field details — 18 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	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	48.5
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	17.3
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.6

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	Hindu 48.5%, Roman Catholic 26.3%, Muslim 17.3%, other...
`religions_numeric`	religions_numeric	float	0%	1	48.5
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/mp.json

Pending (8) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	26.3
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	6.4
`composition_religion_none_pct_synth`	none	numeric	0%	-	0.7
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	0.1
`composition_ethnicity_indo_mauritian_pct_synth`	Indo-Mauritian	numeric	0%	-	-
`composition_ethnicity_creole_pct_synth`	Creole	numeric	0%	-	-
`composition_ethnicity_sino_mauritian_pct_synth`	Sino-Mauritian	numeric	0%	-	-
`composition_ethnicity_franco_mauritian_pct_synth`	Franco-Mauritian	numeric	0%	-	-

MUS OpenFactBook - Transportation — 1 rows, 28 columns

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Field details — 28 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	3B
`airports_numeric`	Airports count	float	SEL	0%	1	5.0
`country_code`	Country code	string	SEL	0%	1	MUS
`country_name`	Country name	string	SEL	0%	1	Mauritius
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (23) — 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	3.0
`airports_text`	airports_text	string	0%	1	5 (2025)
`heliports_text`	heliports_text	string	0%	1	1 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	1.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	32 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	32.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 1, oil tanker 4, other 27
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	1.0
`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	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`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	1
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	1.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	1
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	1.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Port Louis, Port Mathurin
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/mp.json

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

10 rows · 1 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 5 SEL ▶

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1 Admin 1 — 1 table(s)

MUS Cod Ps - Mus Codps — 10 rows, 83 columns

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Field details — 83 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	10	MU19, MU14, MU15, MU21, MU18
`region_name`	Region name	string	SEL	0%	10	Black River, Flacq, Grand Port, Rodriguez Island, Moka
`T_TL`	Total population	string	SEL	0%	10	83,395, 138,700, 112,808, 43,155, 83,659
`M_TL`	Male population	string	SEL	0%	10	41,797, 68,881, 56,143, 21,164, 41,692
`F_TL`	Female population	string	SEL	0%	10	41,598, 69,819, 56,665, 21,991, 41,967

Pending (78) — 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	2018, 2018, 2018, 2018, 2018
`ADM0_EN`	ADM0_EN	string	0%	1	Mauritius, Mauritius, Mauritius, Mauritius, Mauritius
`ADM1_TYPE`	ADM1_TYPE	string	0%	2	District, District, District, Autonomous Island, District
`POP_SOURCE`	POP_SOURCE	string	0%	1	Statistics Mauritius 2018 Digest of Demographic...
`Area_km2`	Area_km2	float	0%	10	257.2, 298.8, 261.3, 110.1, 234.4
`t_2018July`	t_2018July	string	0%	10	82,961, 138,701, 112,853, 43,035, 83,676
`m_2018July`	m_2018July	string	0%	10	41,573, 68,885, 56,146, 21,115, 41,687
`f_2018July`	f_2018July	string	0%	10	41,388, 69,816, 56,707, 21,920, 41,989
`t2011`	t2011	string	0%	10	76,604, 135,406, 110,907, 40,434, 82,302
`m2011`	m2011	string	0%	10	38,539, 67,156, 55,066, 19,904, 40,910
`f2011`	f2011	string	0%	10	38,065, 68,250, 55,841, 20,530, 41,392
`t0_4yrs`	t0_4yrs	string	0%	10	5,414, 8,537, 6,341, 3,778, 4,872
`m0_4yrs`	m0_4yrs	string	0%	10	2,702, 4,215, 3,183, 1,902, 2,494
`f0_4yrs`	f0_4yrs	string	0%	10	2,712, 4,322, 3,158, 1,876, 2,378
`t5_9yrs`	t5_9yrs	string	0%	10	6,332, 10,492, 8,147, 4,187, 6,119
`m5_9yrs`	m5_9yrs	string	0%	10	3,181, 5,305, 4,000, 2,115, 3,149
`f5_9yrs`	f5_9yrs	string	0%	10	3,151, 5,187, 4,147, 2,072, 2,970
`t10_14yrs`	t10_14yrs	string	0%	10	5,781, 11,267, 8,881, 3,833, 6,336
`m10_14yrs`	m10_14yrs	string	0%	10	2,955, 5,704, 4,447, 1,932, 3,206
`f10_14yrs`	f10_14yrs	string	0%	10	2,826, 5,563, 4,434, 1,901, 3,130
`t15_19yrs`	t15_19yrs	string	0%	10	5,906, 11,763, 9,448, 3,571, 6,544
`m15_19yrs`	m15_19yrs	string	0%	10	3,005, 5,933, 4,794, 1,740, 3,285
`f15_19yrs`	f15_19yrs	string	0%	10	2,901, 5,830, 4,654, 1,831, 3,259
`t20_24yrs`	t20_24yrs	string	0%	10	6,359, 9,724, 8,167, 2,952, 6,226
`m20_24yrs`	m20_24yrs	string	0%	10	3,357, 4,844, 4,171, 1,438, 3,122
`f20_24yrs`	f20_24yrs	string	0%	10	3,002, 4,880, 3,996, 1,514, 3,104
`t25_29yrs`	t25_29yrs	string	0%	10	6,687, 9,612, 7,803, 3,191, 5,992
`m25_29yrs`	m25_29yrs	string	0%	10	3,443, 4,783, 4,060, 1,552, 3,122
`f25_29yrs`	f25_29yrs	string	0%	10	3,244, 4,829, 3,743, 1,639, 2,870
+48 more pending fields — download the CSV/Parquet to see them all.

MUS Ethnic Power Relations Dataset MUS-EPR Political Ethnicity

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

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0 Admin 0 — 1 table(s)

MUS EPR - Groups — 6 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	MUS, MUS, MUS, MUS, MUS
`ethnic_group_name`	Ethnic group name	string	CCL	0%	6	Hindi-speaking Hindus, Creoles, Muslims, Tamils and...
`ethnic_power_status`	Ethnic power status	string	CCL	0%	3	SENIOR PARTNER, POWERLESS, JUNIOR PARTNER, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	5	0.4, 0.27, 0.16, 0.1, 0.02
`ethnic_group_id`	Ethnic group id	float	CCL	0%	6	59001100, 59003000, 59002000, 59001300, 59001200
`regional_autonomy`	Regional autonomy	string	CCL	0%	1	false, false, 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, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , , ,

MUS Afrobarometer MUS-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)

MUS 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	MUS
`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

MUS 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	MUS
`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

MUS 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	MUS
`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

MUS 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	MUS
`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

MUS 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	MUS
`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

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

3 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 18 ext ▶

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0 Admin 0 — 2 table(s)

MUS Nga Gns - Language — 2 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	MUS, MUS
`gns_language_code`	gns_language_code	string	CCL	0%	2	fra, eng
`gns_language_name`	gns_language_name	string	CCL	0%	2	French, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	2	4, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	2	80.0, 20.0
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	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

MUS Nga Gns - Summary — 1 rows, 25 columns

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Field details — 25 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	MUS
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Mauritius
`gns_language_count`	gns_language_count	integer	CCL	0%	1	2
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	100.0
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	2127
`gns_feature_count`	gns_feature_count	integer	0%	1	1416
`gns_endonym_count`	gns_endonym_count	integer	0%	1	2127
`gns_exonym_count`	gns_exonym_count	integer	0%	1	0
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	656
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	536
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	651
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	371
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	586
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	362
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	132
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	74
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	72
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	60
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	30
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	13

MUS Glottolog Language Catalog MUS-GLOTTOLOG Language

2 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)

MUS Glottolog - Languages — 2 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%	2	maur1240, mori1278
`name`	Name	string	CCL	0%	2	Mauritian Sign Language, Morisyen
`iso639_3`	Iso639 3	string	CCL	0%	2	lsy, mfe
`level`	Level	string	CCL	0%	1	language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	2	sign1238, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	2	deaf1237, isle1246
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	1	['MU'], ['MU']
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	2	0, 3

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	2	-20.166667, -20.2613
`longitude`	longitude	float	0%	2	57.516667, 57.5517
`classification`	classification	string	0%	1	[], []

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

1 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)

MUS GHS-UCDB - Cities (locality) — 1 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%	1	Port Louis
`country_code`	Country code	string	SEL	0%	1	MUS
`population`	Population count	integer	SEL	0%	1	557431

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	1	159
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Mauritius
`population_year`	population_year	integer	0%	1	2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MUS Global Organized Crime Index MUS-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)

MUS Organized Crime Scores 2025 — 1 rows, 35 columns

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

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

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

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Global Data Lab	academic	api
Afrobarometer	academic	api
Ethnic Power Relations Dataset	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
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