Maldives

MDV Glottolog Language Catalog MDV-GLOTTOLOG Language

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

0 Admin 0 — 1 table(s)

MDV glottolog - languages — 1 rows, 16 columns

Standards-Aligned Fields (16)

Field Name	Type	Schema	Nulls	Unique
`glottocode`	string	CCL	0%	1
`name`	string	SEL	0%	1
`iso639_3`	string	CCL	0%	1
`level`	string	SEL	0%	1
`family_name`	string	CCL	100%	-
`family_glottocode`	string	CCL	0%	1
`parent_name`	string	SEL	100%	-
`parent_glottocode`	string	CCL	0%	1
`endangerment_status`	string	CCL	100%	-
`latitude`	float	CCL	0%	1
`longitude`	float	CCL	0%	1
`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%	1

MDV UNHCR Refugee Data Finder MDV-UNHCR Migration

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

0 Admin 0 — 2 table(s)

MDV 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%	-

MDV 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%	-

MDV Joshua Project MDV-JOSHUA_PROJECT Ethnolinguistic

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

0 Admin 0 — 2 table(s)

MDV joshua_project - languages — 1 rows, 7 columns

Standards-Aligned Fields (7)

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

MDV joshua_project - people_groups — 4 rows, 25 columns

Standards-Aligned Fields (25)

Field Name	Type	Schema	Nulls	Unique
`people_id`	integer	CCL	0%	4
`rop3_code`	string	CCL	0%	1
`people_name`	string	SEL	0%	4
`people_name_global`	string	CCL	0%	4
`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%	4
`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%	4
`language_code`	string	CCL	0%	4
`language_iso`	string	CCL	0%	1
`people_cluster`	string	CCL	0%	4
`affinity_bloc`	string	CCL	0%	2
`ethnicity_family`	string	CCL	100%	-
`latitude`	float	CCL	0%	4
`longitude`	float	CCL	0%	4

MDV World Bank Open Data MDV-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)

MDV 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%	64
`gdp_per_capita_usd`	float	SEL	16.7%	55
`literacy_rate_pct`	float	SEL	84.8%	9
`under5_mortality_per_1000`	float	SEL	6.1%	62
`poverty_headcount_pct`	string	SEL	98.5%	1

MDV 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%	64
`infant_mortality_per_1000`	string	SEL	42.4%	37
`under5_mortality_per_1000`	float	SEL	6.1%	62
`maternal_mortality_per_100k`	string	SEL	40.9%	34
`fertility_rate`	float	SEL	3%	64
`birth_rate_per_1000`	float	SEL	3%	64
`death_rate_per_1000`	float	SEL	3%	64
`physicians_per_1000`	float	SEL	75.8%	15
`hospital_beds_per_1000`	string	SEL	72.7%	16
`vaccination_rate_pct`	string	SEL	31.8%	15
`health_expenditure_pct_gdp`	string	SEL	63.6%	24

MDV Global Data Lab MDV-GDL Development Indices

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

1 Admin 1 — 1 table(s)

MDV gdl - subnational_indices — 203 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%	7
`year`	integer	SEL	0%	15
`level`	string	SEL	0%	2
`human_development_index`	float	SEL	0%	74
`health_index`	float	SEL	0%	82
`education_index`	float	SEL	0%	40
`income_index`	float	SEL	0%	72
`life_expectancy`	float	SEL	0%	98
`mean_years_schooling`	float	SEL	0%	85

MDV USAID DHS Program MDV-DHS Health Surveys

18 rows · 2 table(s) USAID DHS Program 0 1 2 3 9 SEL 9 CCL ▶

1 Admin 1 — 2 table(s)

MDV dhs - ethnicity_indicators — 6 rows, 8 columns

Standards-Aligned Fields (8)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	100%	-
`country_name`	string	SEL	0%	1
`survey_year`	integer	SEL	0%	1
`region`	string	CCL	0%	6
`survey_id`	string	CCL	0%	1
`survey_type`	string	CCL	0%	1
`women_who_are_literate`	float	CCL	0%	6
`men_who_are_literate`	float	CCL	0%	6

MDV dhs - health_indicators — 12 rows, 10 columns

Standards-Aligned Fields (10)

Field Name	Type	Schema	Nulls	Unique
`country_code`	string	SEL+	100%	-
`country_name`	string	SEL	0%	1
`survey_year`	integer	SEL	0%	2
`region`	string	CCL	0%	6
`survey_id`	string	CCL	0%	2
`survey_type`	string	CCL	0%	1
`infant_mortality_per_1000`	float	SEL	0%	11
`under5_mortality_per_1000`	float	SEL	0%	8
`vaccination_rate_pct`	float	SEL	0%	11
`children_underweight`	float	CCL	0%	11

MDV Ethnic Power Relations Dataset MDV-EPR Political Ethnicity

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

0 Admin 0 — 1 table(s)

MDV epr - groups — 1 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%	1
`ethnic_power_status`	string	CCL	0%	1
`ethnic_population_share`	float	CCL	0%	1
`ethnic_group_id`	float	CCL	0%	1
`group_relevance`	string	CCL	0%	1
`regional_autonomy`	string	CCL	0%	1

MDV Global Organized Crime Index MDV-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)

MDV 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 (36 mappings)

CCL (13 mappings)