Martinique

Datasets (6)

SEL — DGIWG Statistical Extent Location SEL+ — Platform extension (not in DGIWG core spec) CCL — DGIWG Cultural Context Location Extension — Preserved in extension tables (not in core SEL/CCL schema) Pending — Awaiting mapping

MTQ UNHCR Refugee Data Finder MTQ-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)

MTQ 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%	-	-

MTQ 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%	-	-

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

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

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2 Admin 2 — 1 table(s)

MTQ Cod Ps - Mtq Codps — 34 rows, 52 columns

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Field details — 52 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	34	MQ0101, MQ0102, MQ0103, MQ0104, MQ0201
`region_name`	Region name	string	SEL	0%	34	Fort-De-France, Lamentin, Saint-Joseph, Schœlcher, Anses-D'arlet
`T_TL`	Total population	integer	SEL	0%	34	81010, 40177, 16350, 19899, 3630
`F_TL`	Female population	integer	SEL	0%	34	45228, 22046, 8685, 11141, 1910
`M_TL`	Male population	integer	SEL	0%	34	35783, 18131, 7665, 8758, 1720

Pending (47) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	string	100%	-	-
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	MQ, MQ, MQ, MQ, MQ
`ADM1_REF`	ADM1_REF	string	0%	4	Fort-de-France, Fort-de-France, Fort-de-France,...
`ADM2_REF`	ADM2_REF	string	0%	34	Fort-De-France, Lamentin, Saint-Joseph, Schœlcher, Anses-D'arlet
`T_00_04`	Total population age 0-4	integer	0%	34	4195, 2223, 819, 912, 155
`T_05_09`	Total population age 5-9	integer	0%	34	4784, 2562, 875, 1081, 230
`T_10_14`	Total population age 10-14	integer	0%	32	5075, 2755, 1056, 1122, 245
`T_15_19`	Total population age 15-19	integer	0%	34	5352, 2732, 1029, 1424, 220
`T_20_24`	Total population age 20-24	integer	0%	33	4005, 2253, 756, 1179, 145
`T_25_29`	Total population age 25-29	integer	0%	33	4143, 2085, 739, 1112, 85
`T_30_34`	Total population age 30-34	integer	0%	33	4304, 2241, 740, 1039, 135
`T_35_39`	Total population age 35-39	integer	0%	30	4204, 2239, 786, 1109, 180
`T_40_44`	Total population age 40-44	integer	0%	34	5016, 2807, 1058, 1261, 250
`T_45_49`	Total population age 45-49	integer	0%	34	6058, 3292, 1215, 1467, 270
`T_50_54`	Total population age 50-54	integer	0%	34	6558, 3456, 1462, 1503, 360
`T_55_59`	Total population age 55-59	integer	0%	33	6231, 2743, 1266, 1469, 295
`T_60_64`	Total population age 60-64	integer	0%	34	5306, 2199, 1265, 1383, 220
`T_65Plus`	T_65Plus	integer	0%	33	15780, 6590, 3284, 3838, 840
`F_00_04`	Female population age 0-4	integer	0%	34	2064, 1122, 414, 435, 65
`F_05_09`	Female population age 5-9	integer	0%	32	2367, 1275, 423, 512, 120
`F_10_14`	Female population age 10-14	integer	0%	33	2520, 1423, 520, 565, 130
`F_15_19`	Female population age 15-19	integer	0%	33	2645, 1257, 475, 764, 100
`F_20_24`	Female population age 20-24	integer	0%	33	1964, 1154, 364, 629, 85
`F_25_29`	Female population age 25-29	integer	0%	32	2401, 1166, 407, 650, 35
`F_30_34`	Female population age 30-34	integer	0%	32	2479, 1387, 404, 579, 80
`F_35_39`	Female population age 35-39	integer	0%	34	2351, 1286, 432, 669, 125
`F_40_44`	Female population age 40-44	integer	0%	31	2928, 1617, 610, 694, 135
`F_45_49`	Female population age 45-49	integer	0%	34	3431, 1810, 641, 772, 120
`F_50_54`	Female population age 50-54	integer	0%	33	3816, 2002, 841, 859, 205
+17 more pending fields — download the CSV/Parquet to see them all.

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

3 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

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0 Admin 0 — 2 table(s)

MTQ 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	MTQ, MTQ
`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	2875, 8
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	2	99.7225, 0.2775
`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

MTQ Nga Gns - Summary — 1 rows, 29 columns

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Field details — 29 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	MTQ
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Martinique
`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	99.8236
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	3969
`gns_feature_count`	gns_feature_count	integer	0%	1	3070
`gns_endonym_count`	gns_endonym_count	integer	0%	1	3962
`gns_exonym_count`	gns_exonym_count	integer	0%	1	7
`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	1834
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	1314
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	747
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	567
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	855
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	683
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	218
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	203
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	231
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	230
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	15
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	5
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	61
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	60
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	8
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	8

MTQ LandScan Global (ORNL) MTQ-LANDSCAN Modeled Population

2 rows · 2 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 14 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

MTQ 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	MTQ
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Martinique
`admin_code`	Admin code	string	SEL	0%	1	67621225B22962942564085
`area_sqkm`	Area sqkm	float	SEL	0%	1	1099.7545
`pop_2024`	Population count	integer	SEL	0%	1	328764
`pop_density_2024`	Population density	float	SEL	0%	1	298.94

Locality Locality — 1 table(s)

MTQ 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	MTQ
`admin_level`	Admin level	string	SEL	0%	1	locality
`admin_name`	Admin name	string	SEL	0%	1	Fort-de-France
`admin_code`	Admin code	integer	SEL	0%	1	31
`area_sqkm`	Area sqkm	float	SEL	0%	1	42.7487
`pop_2024`	Population count	integer	SEL	0%	1	88838
`pop_density_2024`	Population density	float	SEL	0%	1	2078.15

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	91150
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	1	0.975

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

1 rows · 1 table(s) GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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Locality Locality — 1 table(s)

MTQ 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	Fort-de-France
`country_code`	Country code	string	SEL	0%	1	MTQ
`population`	Population count	integer	SEL	0%	1	91150

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	31
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Martinique
`population_year`	population_year	integer	0%	1	2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MTQ Glottolog Language Catalog MTQ-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)

MTQ 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	guad1242
`name`	Name	string	CCL	0%	1	Guadeloupe-Martinique Creole French
`iso639_3`	Iso639 3	string	CCL	0%	1	gcf
`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	less1242
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	1	['BL', 'GP', 'MQ']
`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	4

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	1	16.304875
`longitude`	longitude	float	0%	1	-61.405914
`classification`	classification	string	0%	1	[]

Language	Place names	Share	Script
French (fra)	2,875	99.7%	—
English (eng)	8	0.3%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download

HERA · Human Entity Reference Atlas by Masego Inc

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