Maldives

MDV Global Data Lab MDV-GDL Development Indices

203 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)

MDV GDL - Subnational Indices — 203 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	MDV, MDV, MDV, MDV, MDV
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	7	Total, Central, Male, North, North Central
`human_development_index`	Human development index	float	SEL	0%	74	0.695, 0.653, 0.771, 0.648, 0.646
`health_index`	Health index	float	SEL	0%	82	0.722, 0.707, 0.731, 0.738, 0.717
`education_index`	Education index	float	SEL	0%	40	0.664, 0.575, 0.84, 0.548, 0.556
`income_index`	Income index	float	SEL	0%	72	0.699, 0.685, 0.746, 0.674, 0.677
`life_expectancy`	Life expectancy	float	SEL	0%	98	66.96, 65.95, 67.51, 67.96, 66.58
`mean_years_schooling`	Mean years schooling	float	SEL	0%	85	9.955, 7.601, 15.0, 6.694, 6.672

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	15	1995, 1995, 1995, 1995, 1995
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

MDV UNHCR Refugee Data Finder MDV-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)

MDV 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%	-	-

MDV 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%	-	-

MDV World Bank Open Data MDV-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)

MDV 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	MV, MV, MV, MV, MV
`population_count`	Population count	float	SEL	2%	65	91189.0, 93450.0, 95802.0, 98222.0, 100662.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	38.244, 38.645, 39.09, 39.593, 40.152
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	17%	55	156.859236934154, 169.767418561131, 192.238848639394,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	85%	9	82.3000030517578, 92.2300033569336, 96.0199966430664,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	6%	62	333.6, 324.6, 315.1, 306.0, 296.8
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	99%	1	5.4

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

MDV 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	MV, MV, MV, MV, MV
`life_expectancy`	Life expectancy	float	SEL	3%	64	38.244, 38.645, 39.09, 39.593, 40.152
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	42%	37	50.1, 48.0, 46.1, 44.2, 42.4
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	6%	62	333.6, 324.6, 315.1, 306.0, 296.8
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	34	552.0, 508.0, 471.0, 424.0, 381.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.713, 6.792, 6.887, 6.941, 7.003
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	51.204, 51.708, 52.155, 52.093, 51.908
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	26.63, 26.526, 26.321, 25.959, 25.485
`physicians_per_1000`	Physicians per 1000	float	SEL	76%	15	0.033, 0.049, 0.065, 0.07, 0.19
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	73%	16	0.7627999783, 1.67, 1.86, 1.91, 2.17
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	15	4.0, 1.0, 1.0, 13.0, 24.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	7.73655844, 8.21364975, 8.78440189, 6.77857542, 7.48356962

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

MDV LandScan Global (ORNL) MDV-LANDSCAN Modeled Population

23 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)

MDV 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	MDV
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Maldives
`admin_code`	Admin code	string	SEL	0%	1	21348113B13449953594448
`area_sqkm`	Area sqkm	float	SEL	0%	1	172.6288
`pop_2024`	Population count	integer	SEL	0%	1	223471
`pop_density_2024`	Population density	float	SEL	0%	1	1294.52

1 Admin 1 — 1 table(s)

MDV LandScan - Population Admin1 (admin_1) — 21 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	MDV, MDV, MDV, MDV, MDV
`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%	21	Malé, Raa, Addu, Lhaviyani, Thaa
`admin_code`	Admin code	string	SEL	0%	21	51498476B26234721704944, 51498476B18155918690693,...
`area_sqkm`	Area sqkm	float	SEL	0%	21	1.9938, 7522.2551, 11.5081, 4101.5382, 7293.868
`pop_2024`	Population count	integer	SEL	0%	21	136293, 14460, 10652, 10174, 8668
`pop_density_2024`	Population density	float	SEL	0%	21	68358.41, 1.92, 925.61, 2.48, 1.19

Locality Locality — 1 table(s)

MDV 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	MDV
`admin_level`	Admin level	string	SEL	0%	1	locality
`admin_name`	Admin name	string	SEL	0%	1	Malé
`admin_code`	Admin code	integer	SEL	0%	1	165
`area_sqkm`	Area sqkm	float	SEL	0%	1	12.9138
`pop_2024`	Population count	integer	SEL	0%	1	148789
`pop_density_2024`	Population density	float	SEL	0%	1	11521.71

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	229283
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	1	0.649

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

22 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)

MDV Cod Ps - Mdv Codps (admin_0) — 1 rows, 56 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	MV
`region_name`	Region name	string	SEL	0%	1	Maldives
`F_TL`	Female population	integer	SEL	0%	1	203132
`M_TL`	Male population	integer	SEL	0%	1	311992
`T_TL`	Total population	integer	SEL	0%	1	515124

Pending (51) — 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	integer	0%	1	14885
`F_05_09`	Female population age 5-9	integer	0%	1	17465
`F_10_14`	Female population age 10-14	integer	0%	1	18200
`F_15_19`	Female population age 15-19	integer	0%	1	13790
`F_20_24`	Female population age 20-24	integer	0%	1	14269
`F_25_29`	Female population age 25-29	integer	0%	1	19821
`F_30_34`	Female population age 30-34	integer	0%	1	22109
`F_35_39`	Female population age 35-39	integer	0%	1	21188
`F_40_44`	Female population age 40-44	integer	0%	1	15008
`F_45_49`	Female population age 45-49	integer	0%	1	11619
`F_50_54`	Female population age 50-54	integer	0%	1	9982
`F_55_59`	Female population age 55-59	integer	0%	1	7986
`F_60_64`	Female population age 60-64	integer	0%	1	6716
`F_65_69`	Female population age 65-69	integer	0%	1	4013
`F_70_74`	Female population age 70-74	integer	0%	1	2390
`F_75Plus`	F_75Plus	integer	0%	1	3691
`M_00_04`	Male population age 0-4	integer	0%	1	15432
`M_05_09`	Male population age 5-9	integer	0%	1	18316
`M_10_14`	Male population age 10-14	integer	0%	1	19608
`M_15_19`	Male population age 15-19	integer	0%	1	14897
`M_20_24`	Male population age 20-24	integer	0%	1	24215
`M_25_29`	Male population age 25-29	integer	0%	1	45522
`M_30_34`	Male population age 30-34	integer	0%	1	47752
`M_35_39`	Male population age 35-39	integer	0%	1	41299
`M_40_44`	Male population age 40-44	integer	0%	1	27645
`M_45_49`	Male population age 45-49	integer	0%	1	17554
`M_50_54`	Male population age 50-54	integer	0%	1	12797
+21 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

MDV Cod Ps - Mdv Codps (admin_1) — 21 rows, 57 columns

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Field details — 57 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	5	MV003, MV001, MV001, MV001, MV002
`region_name`	Region name	string	SEL	0%	5	Male Economic, North, North, North, North Central
`F_TL`	Female population	integer	SEL	0%	21	87014 , 7362 , 11447 , 7082 , 5595
`M_TL`	Male population	integer	SEL	0%	21	124894 , 7949 , 11396 , 7569 , 11575
`T_TL`	Total population	integer	SEL	0%	21	211908 , 15311 , 22843 , 14651 , 17170

Pending (52) — 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
`ADM2ALT1_EN`	ADM2ALT1_EN	string	0%	20	Male', North Thiladhunmathe, South Thiladhunmathe, North...
`F_00_04`	Female population age 0-4	integer	0%	21	5472 , 659 , 990 , 615 , 437
`F_05_09`	Female population age 5-9	integer	0%	21	6429 , 773 , 1172 , 699 , 528
`F_10_14`	Female population age 10-14	integer	0%	21	7110 , 746 , 1190 , 759 , 487
`F_15_19`	Female population age 15-19	integer	0%	21	6580 , 364 , 761 , 469 , 320
`F_20_24`	Female population age 20-24	integer	0%	19	7460 , 331 , 706 , 362 , 331
`F_25_29`	Female population age 25-29	integer	0%	21	9125 , 614 , 989 , 581 , 555
`F_30_34`	Female population age 30-34	integer	0%	20	9103 , 855 , 1225 , 815 , 634
`F_35_39`	Female population age 35-39	integer	0%	21	9485 , 761 , 1111 , 672 , 627
`F_40_44`	Female population age 40-44	integer	0%	21	7041 , 472 , 763 , 514 , 404
`F_45_49`	Female population age 45-49	integer	0%	21	5474 , 365 , 569 , 399 , 298
`F_50_54`	Female population age 50-54	integer	0%	21	4368 , 350 , 482 , 326 , 287
`F_55_59`	Female population age 55-59	integer	0%	20	3296 , 319 , 476 , 249 , 219
`F_60_64`	Female population age 60-64	integer	0%	20	2505 , 289 , 384 , 254 , 195
`F_65_69`	Female population age 65-69	integer	0%	20	1562 , 174 , 232 , 132 , 117
`F_70_74`	Female population age 70-74	integer	0%	19	870 , 104 , 177 , 95 , 72
`F_75Plus`	F_75Plus	integer	0%	21	1134 , 186 , 220 , 141 , 84
`M_00_04`	Male population age 0-4	integer	0%	20	5631 , 699 , 995 , 654 , 451
`M_05_09`	Male population age 5-9	integer	0%	21	6713 , 783 , 1223 , 748 , 479
`M_10_14`	Male population age 10-14	integer	0%	21	7512 , 822 , 1333 , 803 , 551
`M_15_19`	Male population age 15-19	integer	0%	20	6680 , 411 , 690 , 420 , 489
`M_20_24`	Male population age 20-24	integer	0%	21	10305 , 400 , 542 , 420 , 1005
`M_25_29`	Male population age 25-29	integer	0%	21	19611 , 722 , 1064 , 694 , 1789
`M_30_34`	Male population age 30-34	integer	0%	21	19333 , 862 , 1275 , 896 , 1932
`M_35_39`	Male population age 35-39	integer	0%	21	16689 , 854 , 1110 , 733 , 1666
`M_40_44`	Male population age 40-44	integer	0%	21	11328 , 494 , 741 , 510 , 1103
`M_45_49`	Male population age 45-49	integer	0%	21	7116 , 387 , 530 , 414 , 706
+22 more pending fields — download the CSV/Parquet to see them all.

MDV USAID DHS Program MDV-DHS Health Surveys

18 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)

MDV DHS - Ethnicity Indicators — 6 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%	6	98.2, 99.0, 98.3, 99.7, 98.4
`men_who_are_literate`	Men who are literate	float	CCL	0%	6	96.9, 94.0, 98.6, 97.0, 96.5

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	Maldives, Maldives, Maldives, Maldives, Maldives
`survey_year`	survey_year	integer	0%	1	2016, 2016, 2016, 2016, 2016
`region`	region	string	0%	6	Central, Malé, North, North Central, South
`survey_id`	survey_id	string	0%	1	MV2016DHS, MV2016DHS, MV2016DHS, MV2016DHS, MV2016DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MDV DHS - Health Indicators — 12 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%	11	30.0, 15.0, 23.0, 23.0, 13.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	8	34.0, 20.0, 23.0, 24.0, 21.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	11	87.8, 79.0, 91.4, 82.8, 94.0
`children_underweight`	Children underweight	float	CCL	0%	11	18.0, 11.3, 10.9, 15.3, 18.4

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	Maldives, Maldives, Maldives, Maldives, Maldives
`survey_year`	survey_year	integer	0%	2	2009, 2016, 2009, 2016, 2009
`region`	region	string	0%	6	Central, Central, Malé, Malé, North
`survey_id`	survey_id	string	0%	2	MV2009DHS, MV2016DHS, MV2009DHS, MV2016DHS, MV2009DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

MDV OpenFactBook MDV-OPENFACTBOOK Country Profile

15 rows · 15 table(s) OpenFactBook 0 1 2 3 96 SEL 535 ext ▶

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0 Admin 0 — 15 table(s)

MDV 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	2.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	137.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.mv
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	85.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	19.0
`country_code`	Country code	string	SEL	0%	1	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`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	13,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	13000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	2 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	745,000 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	745000.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	137 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	formerly a state-owned radio and TV monopoly; now 4...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	4.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	85% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	98,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	98000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	19 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

MDV OpenFactBook - Economy — 1 rows, 153 columns

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Field details — 153 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	23400.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	6.975
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	5.4
`country_code`	Country code	string	SEL	0%	1	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (147) — 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; major...
`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	$12.325 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	12.325
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$11.723 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	11.723
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$11.194 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	11.194
`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	5.1% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	5.1
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	4.7% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	4.7
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	13.8% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	13.8
`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	$23,400 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$22,300 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	22300.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$21,400 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	21400.0
`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	$6.975 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	1.4% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	1.4
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	2.9% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	2.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	2.3% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	2.3
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+117 more extension fields — download the CSV/Parquet to see them all.

MDV OpenFactBook - Energy — 1 rows, 25 columns

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

Extension Fields (21) — 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_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	432,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	432000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	821.397 million kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	821.397
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	25.867 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	25.867
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	93.2% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	93.2
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	6.6% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	6.6
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	0.2% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	0.2
`coal_imports_text`	coal_imports_text	string	0%	1	8 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	8.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	13,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	13000.0
`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	50.886 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	50.886
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

MDV 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	19.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	12.5
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	42.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.34
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	211500.0
`country_code`	Country code	string	SEL	0%	1	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`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	rising sea levels; depletion of freshwater aquifers;...
`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	tropical; hot, humid; dry, northeast monsoon (November...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	19.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 13.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	13.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	3.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 3.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	3.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	12.5% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	67.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	67.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	42% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.34% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	1.908 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	1.908
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	1.908 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	1.908
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	12.3 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	12.3
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	211,500 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	20.9% (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	20.9
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	5.6 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	5.6
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	300,000 cubic meters (2022 est.)
`total_water_withdrawal_industrial_numeric`	total_water_withdrawal_industrial_numeric	float	0%	1	300000.0
`total_water_withdrawal_agricultural_text`	total_water_withdrawal_agricultural_text	string	0%	1	268,194 cubic meters (2022 est.)
+5 more extension fields — download the CSV/Parquet to see them all.

MDV 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	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`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	Maldivian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Maldivian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	homogeneous mixture of Sinhalese, Dravidian, Arab,...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

MDV OpenFactBook - Geography — 1 rows, 56 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	298.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	298.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	0.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	644.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	8.0
`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	19.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	12.5
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	0.0
`country_code`	Country code	string	SEL	0%	1	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern Asia, group of atolls in the Indian Ocean,...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	3 15 N, 73 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	3.0
`map_references_text`	map_references_text	string	0%	1	Asia
`area_total_text`	area_total_text	string	0%	1	298 sq km
`area_land_text`	area_land_text	string	0%	1	298 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	about 1.7 times the size of Washington, D.C.
`area_comparative_numeric`	area_comparative_numeric	float	0%	1	1.7
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	0 km
`coastline_text`	coastline_text	string	0%	1	644 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_note`	maritime_claims_note	string	0%	1	note: measured from claimed archipelagic straight baselines
`climate_text`	climate_text	string	0%	1	tropical; hot, humid; dry, northeast monsoon (November...
`terrain_text`	terrain_text	string	0%	1	flat coral atolls, with white sandy beaches; sits atop...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	8th tee, golf course, Villingi Island 5 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Indian Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	2 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	2.0
`natural_resources_text`	natural_resources_text	string	0%	1	fish
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	19.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 13.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	13.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	3.0
+13 more extension fields — download the CSV/Parquet to see them all.

MDV OpenFactBook - Government — 1 rows, 95 columns

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Field details — 95 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	MDV
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (93) — 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 Maldives
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Maldives
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Dhivehi Raajjeyge Jumhooriyyaa
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Dhivehi Raajje
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the origin of the name is obscure but may derive from...
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Malé
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	4 10 N, 73 30 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	4.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+5 (10 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	5.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name may come from the Sanskrit word mala, or "garland"
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	21 administrative atolls (atholhuthah, singular -...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	21.0
`legal_system_text`	legal_system_text	string	0%	1	Islamic (sharia) legal system with English common law...
`constitution_history_text`	constitution_history_text	string	0%	1	many previous; latest ratified 7 August 2008
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	7.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by Parliament; passage requires at least...
`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 Maldives
`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	unknown
`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 MUIZZU (since 17 November 2023)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	17.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	President Mohamed MUIZZU (since 17 November 2023)
`executive_branch_head_of_government_numeric`	executive_branch_head_of_government_numeric	float	0%	1	17.0
`executive_branch_cabinet_text`	executive_branch_cabinet_text	string	0%	1	Cabinet of Ministers appointed by the president,...
+63 more extension fields — download the CSV/Parquet to see them all.

MDV 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	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`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	A sultanate since the 12th century, the Maldives became...
`background_numeric`	background_numeric	float	0%	1	12.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

MDV OpenFactBook - Languages — 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	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`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
`languages_text`	languages_text	string	0%	1	Dhivehi (official, closely related to Sinhala, script...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

MDV 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	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`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_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	54 (2023 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	54.0
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 2 Watch List — the government did not demonstrate...
`trafficking_in_persons_tier_rating_numeric`	trafficking_in_persons_tier_rating_numeric	float	0%	1	2.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

MDV OpenFactBook - Military And Security — 1 rows, 16 columns

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Field details — 16 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	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (13) — 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	Maldives National Defense Force (MNDF): Coast Guard,...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_text`	military_expenditures_text	string	0%	1	not available
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 3-4,000 active Defense Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	3.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the Defense Force has a limited inventory consisting of...
`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	18-25 years of age for voluntary service; no conscription (2025)
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the Maldives National Defense Force (MNDF) is...
`military_note_numeric`	military_note_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

MDV OpenFactBook - People And Society — 1 rows, 153 columns

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Field details — 153 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	388858.0
`population_male_numeric`	Population male	float	SEL	0%	1	197739.0
`population_female_numeric`	Population female	float	SEL	0%	1	191119.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	22.4
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	71.5
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	6.1
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	39.8
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	31.3
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	8.6
`median_age_total_numeric`	Median age	float	SEL	0%	1	32.4
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.24
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	14.77
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	4.3
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-12.85
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	42.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.34
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.04
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	32.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	23.7
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	77.4
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.7
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.83
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	2.24
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	5.0
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	98.2
`country_code`	Country code	string	SEL	0%	1	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (124) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	388,858 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	197,739
`population_female_text`	population_female_text	string	0%	1	191,119
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	22.4% (male 44,321/female 42,626)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	71.5% (male 143,021/female 135,044)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	6.1% (2024 est.) (male 10,397/female 13,449)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	39.8 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	31.3 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	8.6 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	11.7 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	11.7
`median_age_total_text`	median_age_total_text	string	0%	1	32.4 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	31.3 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	31.3
`median_age_female_text`	median_age_female_text	string	0%	1	32.4 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	32.4
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.24% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	14.77 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	4.3 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-12.85 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	about a third of the population lives in the centrally...
`population_distribution_numeric`	population_distribution_numeric	float	0%	1	200.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	42% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.34% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	177,000 MALE (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	177000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 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	1.06 male(s)/female
+94 more extension fields — download the CSV/Parquet to see them all.

MDV OpenFactBook - Religions — 1 rows, 12 columns

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Field details — 12 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	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`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
`religions_text`	religions_text	string	0%	1	Sunni Muslim (official)
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

Pending (6) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_sunni_muslim_pct_synth`	Sunni Muslim	numeric	0%	-	-
`composition_ethnicity_homogeneous_mixture_of_sinhalese_pct_synth`	homogeneous mixture of Sinhalese	numeric	0%	-	-
`composition_ethnicity_dravidian_pct_synth`	Dravidian	numeric	0%	-	-
`composition_ethnicity_arab_pct_synth`	Arab	numeric	0%	-	-
`composition_ethnicity_australasian_pct_synth`	Australasian	numeric	0%	-	-
`composition_ethnicity_african_resulting_from_historical_changes_in_regional_hegemony_over_marine_trade_routes_pct_synth`	African resulting from historical changes in regional hegemony over marine trade routes	numeric	0%	-	-

MDV 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	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`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	Islamic State of Iraq and ash-Sham (ISIS)
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

MDV OpenFactBook - Transportation — 1 rows, 26 columns

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Field details — 26 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	8Q
`airports_numeric`	Airports count	float	SEL	0%	1	20.0
`country_code`	Country code	string	SEL	0%	1	MDV
`country_name`	Country name	string	SEL	0%	1	Maldives
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (21) — 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	8.0
`airports_text`	airports_text	string	0%	1	20 (2025)
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	82 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	82.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	general cargo 30, oil tanker 20, other 32
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	30.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	1 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	1.0
`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	0
`ports_small_numeric`	ports_small_numeric	float	0%	1	0.0
`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	Male
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-asia/mv.json

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

3 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 16 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)

MDV 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	MDV, MDV
`gns_language_code`	gns_language_code	string	CCL	0%	2	div, eng
`gns_language_name`	gns_language_name	string	CCL	0%	2	Divehi, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	2	2662, 31
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	2	98.8489, 1.1511
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	2	1250, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	2	Thaa,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	2	Thaana,
`gns_script_count`	gns_script_count	integer	CCL	0%	2	1, 0

MDV Nga Gns - Summary — 1 rows, 23 columns

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Field details — 23 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	MDV
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Maldives
`gns_language_count`	gns_language_count	integer	CCL	0%	1	2
`gns_script_count`	gns_script_count	integer	CCL	0%	1	1
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.2609
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	1250

Extension Fields (16) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	3653
`gns_feature_count`	gns_feature_count	integer	0%	1	1318
`gns_endonym_count`	gns_endonym_count	integer	0%	1	3626
`gns_exonym_count`	gns_exonym_count	integer	0%	1	27
`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_hypsographic`	gns_name_count_hypsographic	integer	0%	1	3149
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	1131
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	45
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	29
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	205
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	29
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	252
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	128
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	2
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	1

MDV Ethnic Power Relations Dataset MDV-EPR Political Ethnicity

1 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)

MDV EPR - Groups — 1 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	MDV
`ethnic_group_name`	Ethnic group name	string	CCL	0%	1	Divehis
`ethnic_power_status`	Ethnic power status	string	CCL	0%	1	IRRELEVANT
`ethnic_population_share`	Ethnic population share	float	CCL	0%	1	0.99
`ethnic_group_id`	Ethnic group id	float	CCL	0%	1	78101000
`regional_autonomy`	Regional autonomy	string	CCL	0%	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021
`group_relevance`	group_relevance	string	0%	1

MDV GHS Urban Centre Database (EU JRC) MDV-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)

MDV 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	Malé
`country_code`	Country code	string	SEL	0%	1	MDV
`population`	Population count	integer	SEL	0%	1	229283

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	165
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Maldives
`population_year`	population_year	integer	0%	1	2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MDV Glottolog Language Catalog MDV-GLOTTOLOG Language

1 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)

MDV Glottolog - Languages — 1 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%	1	dhiv1236
`name`	Name	string	CCL	0%	1	Dhivehi
`iso639_3`	Iso639 3	string	CCL	0%	1	div
`level`	Level	string	CCL	0%	1	language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	1	indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	1	sinh1245
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	1	['IN', 'MV']
`child_family_count`	Child family count	integer	CCL	0%	1	0
`child_language_count`	Child language count	integer	CCL	0%	1	0
`child_dialect_count`	Child dialect count	integer	CCL	0%	1	0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	1	1.928498
`longitude`	longitude	float	0%	1	73.54433
`classification`	classification	string	0%	1	[]

MDV Global Organized Crime Index MDV-OCINDEX Crime Index

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

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0 Admin 0 — 1 table(s)

MDV 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

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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
Ethnic Power Relations Dataset	academic	bulk_download
World Bank Open Data	international_organization	api
Glottolog Language Catalog	academic	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
NGA GEOnet Names Server (GNS)	official_government	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