| 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 | 0% | 22 | GF1356, GF1302, GF1303, GF1304, GF1305 |
region_name |
Region name | string | SEL | 0% | 22 | Camopi, Cayenne, Iracoubo, Kourou, Macouria |
T_TL |
Total population | string | SEL | 0% | 22 | 1,752, 60,550, 1,835, 26,523, 12,749 |
F_TL |
Female population | string | SEL | 0% | 22 | 822, 32,480, 925, 13,328, 6,568 |
M_TL |
Male population | string | SEL | 0% | 22 | 931, 28,071, 910, 13,195, 6,181 |
| 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 | integer | 0% | 1 | 2016, 2016, 2016, 2016, 2016 |
ADM0_PCODE |
ADM0_PCODE | string | 0% | 1 | GF, GF, GF, GF, GF |
ADM1_REF |
ADM1_REF | string | 0% | 2 | Cayenne, Cayenne, Cayenne, Cayenne, Cayenne |
ADM2_REF |
ADM2_REF | string | 0% | 22 | Camopi, Cayenne, Iracoubo, Kourou, Macouria |
T_00_04 |
Total population age 0-4 | string | 0% | 21 | 277, 6,050, 170, 2,834, 1,123 |
T_05_09 |
Total population age 5-9 | string | 0% | 21 | 257, 5,437, 195, 2,989, 1,345 |
T_10_14 |
Total population age 10-14 | string | 0% | 22 | 257, 5,454, 235, 3,078, 1,460 |
T_15_19 |
Total population age 15-19 | string | 0% | 22 | 183, 5,066, 170, 2,704, 1,460 |
T_20_24 |
Total population age 20-24 | string | 0% | 21 | 139, 4,500, 155, 1,585, 878 |
T_25_29 |
Total population age 25-29 | string | 0% | 21 | 183, 4,340, 125, 1,563, 661 |
T_30_34 |
Total population age 30-34 | string | 0% | 21 | 104, 4,477, 90, 1,922, 790 |
T_35_39 |
Total population age 35-39 | string | 0% | 22 | 99, 4,308, 80, 1,792, 836 |
T_40_44 |
Total population age 40-44 | string | 0% | 22 | 94, 4,198, 110, 1,881, 910 |
T_45_49 |
Total population age 45-49 | string | 0% | 22 | 54, 3,567, 140, 1,642, 929 |
T_50_54 |
Total population age 50-54 | string | 0% | 22 | 40, 3,203, 95, 1,509, 781 |
T_55_59 |
Total population age 55-59 | string | 0% | 21 | 30, 2,782, 50, 1,160, 664 |
T_60_64 |
Total population age 60-64 | string | 0% | 21 | 15, 2,534, 60, 813, 351 |
T_65PLUS |
T_65PLUS | string | 0% | 22 | 20, 4,636, 160, 1,052, 559 |
F_00_04 |
Female population age 0-4 | string | 0% | 21 | 119, 3,017, 100, 1,347, 558 |
F_05_09 |
Female population age 5-9 | string | 0% | 21 | 99, 2,608, 100, 1,502, 700 |
F_10_14 |
Female population age 10-14 | string | 0% | 22 | 153, 2,772, 95, 1,523, 680 |
F_15_19 |
Female population age 15-19 | string | 0% | 22 | 84, 2,566, 85, 1,292, 774 |
F_20_24 |
Female population age 20-24 | string | 0% | 20 | 74, 2,468, 70, 772, 444 |
F_25_29 |
Female population age 25-29 | string | 0% | 22 | 99, 2,509, 55, 841, 364 |
F_30_34 |
Female population age 30-34 | string | 0% | 22 | 35, 2,602, 55, 1,062, 484 |
F_35_39 |
Female population age 35-39 | string | 0% | 21 | 45, 2,458, 45, 954, 485 |
F_40_44 |
Female population age 40-44 | string | 0% | 22 | 35, 2,323, 65, 1,059, 472 |
F_45_49 |
Female population age 45-49 | string | 0% | 22 | 25, 1,958, 55, 816, 512 |
F_50_54 |
Female population age 50-54 | string | 0% | 22 | 20, 1,716, 45, 723, 388 |
| +17 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 14 | araw1276, cari1276, chai1253, dutc1256, emer1243 |
name |
Name | string | CCL | 0% | 14 | Lokono, Caribbean Javanese, Chaima, Dutch, Teko |
iso639_3 |
Iso639 3 | string | CCL | 0% | 14 | arw, jvn, ciy, nld, eme |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 5 | araw1281, aust1307, cari1283, indo1319, tupi1275 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 14 | iner1234, glob1245, coas1302, glob1241, zoee1241 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 9 | ['GF', 'GY', 'SR', 'VE'], ['GF', 'SR'], ['BR', 'GF',... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 6 | 3, 0, 0, 17, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 14 | 5.64295, 5.62695, 9.21256, 52.0, 3.23694 |
longitude |
longitude | float | 0% | 14 | -56.9243, -54.6305, -63.1034, 5.0, -52.3699 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GUF, GUF, GUF, GUF |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | fra, nld, eng, por |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | French, Dutch, English, Portuguese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 3422, 19, 17, 3 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 98.8732, 0.549, 0.4912, 0.0867 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 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, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GUF |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | French Guiana |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9446 |
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 | 5420 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 3748 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 5417 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
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 | 894 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 726 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 501 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 399 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 2824 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1796 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 747 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 456 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 256 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 208 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 128 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 104 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 43 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 42 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 27 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 17 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GUF |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | French Guiana |
admin_code |
Admin code | string | SEL | 0% | 1 | 11180146B95242567331208 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 82708.0898 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 286070 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 3.46 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GUF |
admin_level |
Admin level | string | SEL | 0% | 1 | locality |
admin_name |
Admin name | string | SEL | 0% | 1 | Cayenne |
admin_code |
Admin code | integer | SEL | 0% | 1 | 37 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 36.756 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 79055 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 2150.81 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 1 | 75925 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 1 | 1.041 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 1 | Cayenne |
country_code |
Country code | string | SEL | 0% | 1 | GUF |
population |
Population count | integer | SEL | 0% | 1 | 75925 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 1 | 37 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | French Guiana |
population_year |
population_year | integer | 0% | 1 | 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
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) | 3,422 | 98.9% | — |
| Dutch (nld) | 19 | 0.5% | — |
| English (eng) | 17 | 0.5% | — |
| Portuguese (por) | 3 | 0.1% | — |
3,748 distinct features ·
4 languages ·
0 scripts ·
3 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 |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.