Mauritius

MUS Glottolog Language Catalog MUS-GLOTTOLOG Language

6 rows · 1 table(s) Glottolog Language Catalog 0 1 2 3 4 SEL 12 CCL ▶

0 Admin 0 — 1 table(s)

MUS glottolog - languages — 2 rows, 16 columns

Standards-Aligned Fields (16)

Field Name	Type	Schema	Nulls	Unique
`glottocode`	string	CCL	0%	2
`name`	string	SEL	0%	2
`iso639_3`	string	CCL	0%	2
`level`	string	SEL	0%	1
`family_name`	string	CCL	100%	-
`family_glottocode`	string	CCL	0%	2
`parent_name`	string	SEL	100%	-
`parent_glottocode`	string	CCL	0%	2
`endangerment_status`	string	CCL	100%	-
`latitude`	float	CCL	0%	2
`longitude`	float	CCL	0%	2
`country_codes`	string	SEL+	0%	1
`classification`	string	CCL	0%	1
`child_family_count`	integer	CCL	0%	1
`child_language_count`	integer	CCL	0%	1
`child_dialect_count`	integer	CCL	0%	2

MUS UNHCR Refugee Data Finder MUS-UNHCR Migration

450 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 48 CCL ▶

0 Admin 0 — 2 table(s)

MUS unhcr - hosted_populations — 75 rows, 24 columns

Standards-Aligned Fields (24)

Field Name	Type	Schema	Nulls	Unique
`year`	integer	CCL	0%	75
`country_of_origin`	string	CCL	100%	-
`country_of_origin_iso`	string	CCL	0%	1
`country_of_asylum`	string	CCL	100%	-
`country_of_asylum_iso`	string	CCL	0%	1
`population_type`	string	CCL	100%	-
`refugees`	integer	CCL	0%	75
`asylum_seekers`	integer	CCL	0%	34
`idps`	integer	CCL	0%	34
`stateless`	integer	CCL	0%	23
`others_of_concern`	integer	CCL	0%	30
`total_population`	string	CCL	100%	-
`female_total`	string	CCL	100%	-
`male_total`	string	CCL	100%	-
`female_0_4`	string	CCL	100%	-
`female_5_11`	string	CCL	100%	-
`female_12_17`	string	CCL	100%	-
`female_18_59`	string	CCL	100%	-
`female_60_plus`	string	CCL	100%	-
`male_0_4`	string	CCL	100%	-
`male_5_11`	string	CCL	100%	-
`male_12_17`	string	CCL	100%	-
`male_18_59`	string	CCL	100%	-
`male_60_plus`	string	CCL	100%	-

MUS unhcr - origin_populations — 75 rows, 24 columns

Standards-Aligned Fields (24)

Field Name	Type	Schema	Nulls	Unique
`year`	integer	CCL	0%	75
`country_of_origin`	string	CCL	100%	-
`country_of_origin_iso`	string	CCL	0%	1
`country_of_asylum`	string	CCL	100%	-
`country_of_asylum_iso`	string	CCL	0%	1
`population_type`	string	CCL	100%	-
`refugees`	integer	CCL	0%	75
`asylum_seekers`	integer	CCL	0%	34
`idps`	integer	CCL	0%	34
`stateless`	integer	CCL	0%	23
`others_of_concern`	integer	CCL	0%	30
`total_population`	string	CCL	100%	-
`female_total`	string	CCL	100%	-
`male_total`	string	CCL	100%	-
`female_0_4`	string	CCL	100%	-
`female_5_11`	string	CCL	100%	-
`female_12_17`	string	CCL	100%	-
`female_18_59`	string	CCL	100%	-
`female_60_plus`	string	CCL	100%	-
`male_0_4`	string	CCL	100%	-
`male_5_11`	string	CCL	100%	-
`male_12_17`	string	CCL	100%	-
`male_18_59`	string	CCL	100%	-
`male_60_plus`	string	CCL	100%	-

MUS Joshua Project MUS-JOSHUA_PROJECT Ethnolinguistic

84 rows · 2 table(s) Joshua Project 0 1 2 3 4 SEL 28 CCL ▶

0 Admin 0 — 2 table(s)

MUS joshua_project - languages — 7 rows, 7 columns

Standards-Aligned Fields (7)

Field Name	Type	Schema	Nulls	Unique
`language_code`	string	CCL	0%	7
`language_name`	string	SEL	0%	7
`iso639_3`	string	CCL	100%	-
`country_code`	string	SEL+	0%	1
`population`	string	CCL	100%	-
`primary_religion`	string	CCL	0%	2
`people_groups_count`	string	CCL	100%	-

MUS joshua_project - people_groups — 35 rows, 25 columns

Standards-Aligned Fields (25)

Field Name	Type	Schema	Nulls	Unique
`people_id`	integer	CCL	0%	35
`rop3_code`	string	CCL	0%	1
`people_name`	string	SEL	0%	35
`people_name_global`	string	CCL	0%	35
`country_code`	string	SEL+	0%	1
`country_name`	string	CCL	0%	1
`continent`	string	CCL	0%	1
`region`	string	CCL	0%	1
`population`	integer	CCL	0%	31
`population_global`	string	CCL	100%	-
`primary_religion`	string	CCL	0%	4
`religion_pct_christianity`	string	CCL	100%	-
`religion_pct_islam`	string	CCL	100%	-
`religion_pct_hinduism`	string	CCL	100%	-
`religion_pct_buddhism`	string	CCL	100%	-
`religion_pct_ethnic`	string	CCL	100%	-
`religion_pct_other`	string	CCL	100%	-
`primary_language`	string	CCL	0%	33
`language_code`	string	CCL	0%	33
`language_iso`	string	CCL	0%	1
`people_cluster`	string	CCL	0%	17
`affinity_bloc`	string	CCL	0%	6
`ethnicity_family`	string	CCL	100%	-
`latitude`	float	CCL	0%	34
`longitude`	float	CCL	0%	35

MUS World Bank Open Data MUS-WORLD_BANK Development Indicators

264 rows · 2 table(s) World Bank Open Data 0 1 2 3 23 SEL ▶

0 Admin 0 — 2 table(s)

MUS world_bank - development_indicators — 66 rows, 9 columns

Standards-Aligned Fields (9)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	0%	1
`country_name`	string	SEL	0%	1
`year`	integer	SEL	0%	66
`population_count`	float	SEL	1.5%	65
`life_expectancy`	float	SEL	3%	62
`gdp_per_capita_usd`	float	SEL	1.5%	65
`literacy_rate_pct`	string	SEL	84.8%	10
`under5_mortality_per_1000`	float	SEL	3%	50
`poverty_headcount_pct`	string	SEL	95.5%	3

MUS world_bank - health_indicators — 66 rows, 14 columns

Standards-Aligned Fields (14)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	0%	1
`country_name`	string	SEL	0%	1
`year`	integer	SEL	0%	66
`life_expectancy`	float	SEL	3%	62
`infant_mortality_per_1000`	float	SEL	16.7%	43
`under5_mortality_per_1000`	float	SEL	3%	50
`maternal_mortality_per_100k`	string	SEL	40.9%	27
`fertility_rate`	float	SEL	3%	56
`birth_rate_per_1000`	float	SEL	3%	56
`death_rate_per_1000`	float	SEL	3%	30
`physicians_per_1000`	float	SEL	45.5%	36
`hospital_beds_per_1000`	float	SEL	50%	29
`vaccination_rate_pct`	string	SEL	31.8%	16
`health_expenditure_pct_gdp`	string	SEL	63.6%	24

MUS Global Data Lab MUS-GDL Development Indices

272 rows · 1 table(s) Global Data Lab 0 1 2 3 11 SEL ▶

1 Admin 1 — 1 table(s)

MUS gdl - subnational_indices — 136 rows, 11 columns

Standards-Aligned Fields (11)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	0%	1
`region_code`	string	SEL	100%	-
`region_name`	string	SEL	0%	4
`year`	integer	SEL	0%	25
`level`	string	SEL	0%	2
`human_development_index`	float	SEL	0%	84
`health_index`	float	SEL	0%	25
`education_index`	float	SEL	0%	91
`income_index`	float	SEL	0%	76
`life_expectancy`	float	SEL	0%	25
`mean_years_schooling`	float	SEL	0%	96

MUS Afrobarometer MUS-AFROBAROMETER Attitudes Values

5 rows · 5 table(s) Afrobarometer 0 1 2 3 6 SEL 43 CCL ▶

0 Admin 0 — 5 table(s)

MUS afrobarometer - economic_indicators — 1 rows, 9 columns

Standards-Aligned Fields (9)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	CCL	0%	1
`round`	string	CCL	0%	1
`year`	string	CCL	0%	1
`region`	string	CCL	0%	1
`source`	string	CCL	0%	1
`economic_conditions`	integer	CCL	0%	1
`living_conditions`	integer	CCL	0%	1
`employment_situation`	integer	CCL	0%	1
`food_insecurity`	integer	CCL	0%	1

MUS afrobarometer - gender_indicators — 1 rows, 9 columns

Standards-Aligned Fields (9)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	CCL	0%	1
`round`	string	CCL	0%	1
`year`	string	CCL	0%	1
`region`	string	CCL	0%	1
`source`	string	CCL	0%	1
`women_equal_rights`	integer	CCL	0%	1
`women_political_leaders`	integer	CCL	0%	1
`women_land_rights`	integer	CCL	0%	1
`domestic_violence_justified`	integer	CCL	0%	1

MUS afrobarometer - governance_indicators — 1 rows, 13 columns

Standards-Aligned Fields (13)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	0%	1
`round`	string	CCL	0%	1
`year`	string	SEL	0%	1
`region`	string	CCL	0%	1
`source`	string	CCL	0%	1
`trust_president`	integer	CCL	0%	1
`trust_parliament`	integer	CCL	0%	1
`trust_courts`	integer	CCL	0%	1
`trust_police`	integer	CCL	0%	1
`trust_army`	integer	CCL	0%	1
`corruption_perception`	integer	CCL	0%	1
`democracy_satisfaction`	integer	CCL	0%	1
`democracy_preference`	integer	CCL	0%	1

MUS afrobarometer - migration_indicators — 1 rows, 8 columns

Standards-Aligned Fields (8)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	0%	1
`round`	string	CCL	0%	1
`year`	string	SEL	0%	1
`region`	string	CCL	0%	1
`source`	string	CCL	0%	1
`emigration_considered`	integer	CCL	0%	1
`immigration_attitude`	integer	CCL	0%	1
`foreign_workers_attitude`	integer	CCL	0%	1

MUS afrobarometer - social_trust_indicators — 1 rows, 10 columns

Standards-Aligned Fields (10)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	0%	1
`round`	string	CCL	0%	1
`year`	string	SEL	0%	1
`region`	string	CCL	0%	1
`source`	string	CCL	0%	1
`trust_relatives`	integer	CCL	0%	1
`trust_neighbors`	integer	CCL	0%	1
`trust_other_ethnic`	integer	CCL	0%	1
`trust_other_religion`	integer	CCL	0%	1
`national_identity_vs_ethnic`	integer	CCL	0%	1

MUS Ethnic Power Relations Dataset MUS-EPR Political Ethnicity

6 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 8 CCL ▶

0 Admin 0 — 1 table(s)

MUS epr - groups — 6 rows, 8 columns

Standards-Aligned Fields (8)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	CCL	0%	1
`year`	integer	CCL	0%	1
`ethnic_group_name`	string	CCL	0%	6
`ethnic_power_status`	string	CCL	0%	3
`ethnic_population_share`	float	CCL	0%	5
`ethnic_group_id`	float	CCL	0%	6
`group_relevance`	string	CCL	0%	1
`regional_autonomy`	string	CCL	0%	1

MUS Global Organized Crime Index MUS-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 1 SEL 34 ext ▶

0 Admin 0 — 1 table(s)

MUS Organized Crime Scores 2025 — 1 rows, 35 columns

Standards-Aligned Fields (1)

Field Name	Type	Schema	Nulls	Unique
`oc_non_state_actors`	numeric	SEL	0%	1

Extension Fields (34) — supplemental data preserved outside core SEL/CCL schema

Field Name	Type	Nulls	Unique
`oc_anti_money_laundering`	numeric	0%	1
`oc_arms_trafficking`	numeric	0%	1
`oc_cannabis_trade`	numeric	0%	1
`oc_cocaine_trade`	numeric	0%	1
`oc_criminal_actors`	numeric	0%	1
`oc_criminal_markets`	numeric	0%	1
`oc_criminal_networks`	numeric	0%	1
`oc_criminality`	numeric	0%	1
`oc_cyber_dependent_crimes`	numeric	0%	1
`oc_economic_regulatory_capacity`	numeric	0%	1
`oc_extortion_and_protection_racketeering`	numeric	0%	1
`oc_fauna_crimes`	numeric	0%	1
`oc_financial_crimes`	numeric	0%	1
`oc_flora_crimes`	numeric	0%	1
`oc_foreign_actors`	numeric	0%	1
`oc_government_transparency_and_accountability`	numeric	0%	1
`oc_heroin_trade`	numeric	0%	1
`oc_human_smuggling`	numeric	0%	1
`oc_human_trafficking`	numeric	0%	1
`oc_illicit_trade_in_excisable_goods`	numeric	0%	1
`oc_international_cooperation`	numeric	0%	1
`oc_judicial_system_and_detention`	numeric	0%	1
`oc_law_enforcement`	numeric	0%	1
`oc_mafia_style_groups`	numeric	0%	1
`oc_national_policies_and_laws`	numeric	0%	1
`oc_non_renewable_resource_crimes`	numeric	0%	1
`oc_political_leadership_and_governance`	numeric	0%	1
`oc_prevention`	numeric	0%	1
`oc_private_sector_actors`	numeric	0%	1
`oc_resilience`	numeric	0%	1
`oc_state_embedded_actors`	numeric	0%	1
`oc_synthetic_drug_trade`	numeric	0%	1
`oc_territorial_integrity`	numeric	0%	1
`oc_trade_in_counterfeit_goods`	numeric	0%	1

HERA · Human Entity Reference Atlas by Masego Inc

SEL (34 mappings)

CCL (19 mappings)