| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 100% | - | - |
region_name |
Region name | string | SEL | 0% | 1 | Guadeloupe |
T_TL |
Total population | integer | SEL | 0% | 1 | 394316 |
F_TL |
Female population | integer | SEL | 0% | 1 | 212558 |
M_TL |
Male population | integer | SEL | 0% | 1 | 181759 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | string | 100% | - | - |
ADM0_PCODE |
ADM0_PCODE | string | 0% | 1 | GP |
T_00_04 |
Total population age 0-4 | integer | 0% | 1 | 21792 |
T_05_09 |
Total population age 5-9 | integer | 0% | 1 | 25883 |
T_10_14 |
Total population age 10-14 | integer | 0% | 1 | 29093 |
T_15_19 |
Total population age 15-19 | integer | 0% | 1 | 28113 |
T_20_24 |
Total population age 20-24 | integer | 0% | 1 | 19381 |
T_25_29 |
Total population age 25-29 | integer | 0% | 1 | 18141 |
T_30_34 |
Total population age 30-34 | integer | 0% | 1 | 19150 |
T_35_39 |
Total population age 35-39 | integer | 0% | 1 | 21482 |
T_40_44 |
Total population age 40-44 | integer | 0% | 1 | 27756 |
T_45_49 |
Total population age 45-49 | integer | 0% | 1 | 30870 |
T_50_54 |
Total population age 50-54 | integer | 0% | 1 | 32162 |
T_55_59 |
Total population age 55-59 | integer | 0% | 1 | 28377 |
T_60_64 |
Total population age 60-64 | integer | 0% | 1 | 25031 |
T_65Plus |
T_65Plus | integer | 0% | 1 | 67094 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 10836 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 12573 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 14397 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 13888 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 9338 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 9959 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 11450 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 12772 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 15800 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 17005 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 17400 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 15110 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 13669 |
| +15 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 2 | GP01, GP02 |
region_name |
Region name | string | SEL | 0% | 2 | Basse-Terre, Pointe-à-Pitre |
T_TL |
Total population | integer | SEL | 0% | 2 | 189289, 205027 |
F_TL |
Female population | integer | SEL | 0% | 2 | 101785, 110773 |
M_TL |
Male population | integer | SEL | 0% | 2 | 87505, 94254 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1 |
year |
Reference year | string | 100% | - | - |
ADM0_PCODE |
ADM0_PCODE | string | 0% | 1 | GP, GP |
ADM1_REF |
ADM1_REF | string | 0% | 2 | Basse-Terre, Pointe-а-Pitre |
T_00_04 |
Total population age 0-4 | integer | 0% | 2 | 10767, 11025 |
T_05_09 |
Total population age 5-9 | integer | 0% | 2 | 12505, 13378 |
T_10_14 |
Total population age 10-14 | integer | 0% | 2 | 14044, 15049 |
T_15_19 |
Total population age 15-19 | integer | 0% | 2 | 13520, 14593 |
T_20_24 |
Total population age 20-24 | integer | 0% | 2 | 9104, 10277 |
T_25_29 |
Total population age 25-29 | integer | 0% | 2 | 8478, 9663 |
T_30_34 |
Total population age 30-34 | integer | 0% | 2 | 9055, 10095 |
T_35_39 |
Total population age 35-39 | integer | 0% | 2 | 10572, 10910 |
T_40_44 |
Total population age 40-44 | integer | 0% | 2 | 13281, 14475 |
T_45_49 |
Total population age 45-49 | integer | 0% | 2 | 14848, 16022 |
T_50_54 |
Total population age 50-54 | integer | 0% | 2 | 15799, 16363 |
T_55_59 |
Total population age 55-59 | integer | 0% | 2 | 14041, 14336 |
T_60_64 |
Total population age 60-64 | integer | 0% | 2 | 12198, 12833 |
T_65PLUS |
T_65PLUS | integer | 0% | 2 | 31084, 36010 |
F_00_04 |
Female population age 0-4 | integer | 0% | 2 | 5395, 5441 |
F_05_09 |
Female population age 5-9 | integer | 0% | 2 | 6053, 6520 |
F_10_14 |
Female population age 10-14 | integer | 0% | 2 | 7005, 7392 |
F_15_19 |
Female population age 15-19 | integer | 0% | 2 | 6647, 7241 |
F_20_24 |
Female population age 20-24 | integer | 0% | 2 | 4236, 5102 |
F_25_29 |
Female population age 25-29 | integer | 0% | 2 | 4673, 5286 |
F_30_34 |
Female population age 30-34 | integer | 0% | 2 | 5444, 6006 |
F_35_39 |
Female population age 35-39 | integer | 0% | 2 | 6350, 6422 |
F_40_44 |
Female population age 40-44 | integer | 0% | 2 | 7581, 8219 |
F_45_49 |
Female population age 45-49 | integer | 0% | 2 | 8150, 8855 |
F_50_54 |
Female population age 50-54 | integer | 0% | 2 | 8618, 8782 |
F_55_59 |
Female population age 55-59 | integer | 0% | 2 | 7456, 7654 |
| +16 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 32 | GP0101, GP0102, GP0103, GP0104, GP0105 |
region_name |
Region name | string | SEL | 0% | 32 | Baie-Mahault, Baillif, Basse-Terre, Bouillante,... |
T_TL |
Total population | integer | SEL | 0% | 32 | 30872, 5796, 10226, 7154, 18927 |
F_TL |
Female population | integer | SEL | 0% | 31 | 16750, 3132, 5654, 3843, 10000 |
M_TL |
Male population | integer | SEL | 0% | 32 | 14122, 2664, 4572, 3311, 8927 |
| 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 | GP, GP, GP, GP, GP |
ADM1_REF |
ADM1_REF | string | 0% | 2 | Basse-Terre, Basse-Terre, Basse-Terre, Basse-Terre, Basse-Terre |
ADM2_REF |
ADM2_REF | string | 0% | 32 | Baie-Mahault, Baillif, Basse-Terre, Bouillante,... |
T_00_04 |
Total population age 0-4 | integer | 0% | 32 | 1795, 367, 550, 351, 1016 |
T_05_09 |
Total population age 5-9 | integer | 0% | 32 | 2322, 431, 584, 372, 1141 |
T_10_14 |
Total population age 10-14 | integer | 0% | 31 | 2327, 390, 804, 550, 1427 |
T_15_19 |
Total population age 15-19 | integer | 0% | 32 | 2510, 348, 729, 483, 1311 |
T_20_24 |
Total population age 20-24 | integer | 0% | 32 | 1877, 249, 549, 280, 1012 |
T_25_29 |
Total population age 25-29 | integer | 0% | 31 | 1580, 255, 502, 219, 791 |
T_30_34 |
Total population age 30-34 | integer | 0% | 30 | 1992, 216, 495, 301, 767 |
T_35_39 |
Total population age 35-39 | integer | 0% | 31 | 2020, 372, 518, 403, 933 |
T_40_44 |
Total population age 40-44 | integer | 0% | 31 | 2329, 382, 615, 382, 1178 |
T_45_49 |
Total population age 45-49 | integer | 0% | 32 | 2411, 470, 703, 561, 1380 |
T_50_54 |
Total population age 50-54 | integer | 0% | 32 | 2379, 456, 810, 693, 1540 |
T_55_59 |
Total population age 55-59 | integer | 0% | 31 | 2000, 440, 755, 591, 1517 |
T_60_64 |
Total population age 60-64 | integer | 0% | 32 | 1728, 399, 730, 474, 1311 |
T_65PLUS |
T_65PLUS | integer | 0% | 32 | 3603, 1020, 1883, 1494, 3604 |
F_00_04 |
Female population age 0-4 | integer | 0% | 32 | 946, 158, 269, 163, 525 |
F_05_09 |
Female population age 5-9 | integer | 0% | 30 | 1148, 259, 259, 168, 530 |
F_10_14 |
Female population age 10-14 | integer | 0% | 30 | 1190, 174, 399, 336, 676 |
F_15_19 |
Female population age 15-19 | integer | 0% | 32 | 1180, 143, 381, 245, 592 |
F_20_24 |
Female population age 20-24 | integer | 0% | 31 | 772, 127, 234, 138, 490 |
F_25_29 |
Female population age 25-29 | integer | 0% | 31 | 859, 163, 269, 97, 377 |
F_30_34 |
Female population age 30-34 | integer | 0% | 32 | 1201, 141, 276, 189, 475 |
F_35_39 |
Female population age 35-39 | integer | 0% | 32 | 1142, 217, 314, 224, 554 |
F_40_44 |
Female population age 40-44 | integer | 0% | 32 | 1372, 228, 346, 214, 702 |
F_45_49 |
Female population age 45-49 | integer | 0% | 31 | 1392, 229, 428, 321, 757 |
F_50_54 |
Female population age 50-54 | integer | 0% | 30 | 1362, 238, 461, 382, 822 |
| +17 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GLP, GLP |
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 | 3693, 8 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 99.7838, 0.2162 |
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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GLP |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Guadeloupe |
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 | 99.8533 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 4773 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 4020 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 4766 |
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 | 1762 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 1614 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 1173 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 865 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 1346 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1079 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 120 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 102 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 332 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 331 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 16 |
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 | 23 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 23 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 2 | guad1242, stan1293 |
name |
Name | string | CCL | 0% | 2 | Guadeloupe-Martinique Creole French, English |
iso639_3 |
Iso639 3 | string | CCL | 0% | 2 | gcf, eng |
level |
Level | string | CCL | 0% | 1 | language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 1 | indo1319, indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 2 | less1242, macr1271 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 2 | ['BL', 'GP', 'MQ'], ['AU', 'BM', 'BR', 'BZ', 'CA', 'CC',... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 2 | 4, 114 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 2 | 16.304875, 53.0 |
longitude |
longitude | float | 0% | 2 | -61.405914, -1.0 |
classification |
classification | string | 0% | 1 | [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GLP |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Guadeloupe |
admin_code |
Admin code | string | SEL | 0% | 1 | 43335349B88110842463664 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1628.2798 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 351737 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 216.02 |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| French (fra) | 3,693 | 99.8% | — |
| English (eng) | 8 | 0.2% | — |
4,020 distinct features ·
2 languages ·
0 scripts ·
7 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| 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 |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.