| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI, HTI, HTI, HTI, HTI |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 10 | Total, Artibonite, Centre, Grande-Anse, Nippes, North |
human_development_index |
Human development index | float | SEL | 0% | 67 | 0.526, 0.445, 0.416, 0.456, 0.482 |
health_index |
Health index | float | SEL | 0% | 75 | 0.511, 0.493, 0.479, 0.519, 0.529 |
education_index |
Education index | float | SEL | 0% | 90 | 0.514, 0.363, 0.318, 0.379, 0.42 |
income_index |
Income index | float | SEL | 0% | 62 | 0.553, 0.492, 0.472, 0.484, 0.505 |
life_expectancy |
Life expectancy | float | SEL | 0% | 98 | 53.22, 52.07, 51.12, 53.73, 54.39 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 88 | 7.706, 4.515, 3.973, 3.823, 6.11 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 10 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | HT |
region_name |
Region name | string | SEL | 0% | 1 | Haiti |
F_TL |
Female population | integer | SEL | 0% | 1 | 6062040 |
M_TL |
Male population | integer | SEL | 0% | 1 | 5837515 |
T_TL |
Total population | integer | SEL | 0% | 1 | 11899555 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 645612 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 637064 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 609283 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 594694 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 572070 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 489992 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 474215 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 437487 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 369039 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 314639 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 247540 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 200223 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 168940 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 131595 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 83109 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 46872 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 39666 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 657411 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 649611 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 624878 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 611742 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 576106 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 493532 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 472968 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 422713 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 321697 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 256683 |
M_50_54 |
Male population age 50-54 | integer | 0% | 1 | 201042 |
| +23 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% | 10 | HT05, HT06, HT08, HT10, HT03 |
region_name |
Region name | string | SEL | 0% | 10 | Artibonite, Centre, Grande'Anse, Nippes, North |
F_TL |
Female population | integer | SEL | 0% | 10 | 909840, 510127, 281152, 195761, 592003 |
M_TL |
Male population | integer | SEL | 0% | 10 | 863828, 503536, 273222, 193081, 562130 |
T_TL |
Total population | integer | SEL | 0% | 10 | 1773668, 1013663, 554374, 388842, 1154133 |
| 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 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 10 | 99477, 72327, 37403, 24773, 61721 |
F_05_09 |
Female population age 5-9 | integer | 0% | 10 | 96298, 63498, 31445, 21822, 61080 |
F_10_14 |
Female population age 10-14 | integer | 0% | 10 | 92738, 58048, 30258, 20780, 59950 |
F_15_19 |
Female population age 15-19 | integer | 0% | 10 | 92760, 56509, 29487, 20031, 58291 |
F_20_24 |
Female population age 20-24 | integer | 0% | 10 | 90138, 53806, 26777, 18520, 53210 |
F_25_29 |
Female population age 25-29 | integer | 0% | 10 | 75975, 47026, 24420, 17280, 43254 |
F_30_34 |
Female population age 30-34 | integer | 0% | 10 | 69658, 34803, 20766, 14543, 48372 |
F_35_39 |
Female population age 35-39 | integer | 0% | 10 | 61452, 27627, 16661, 12069, 45716 |
F_40_44 |
Female population age 40-44 | integer | 0% | 10 | 49067, 20322, 11167, 8786, 37304 |
F_45_49 |
Female population age 45-49 | integer | 0% | 10 | 42684, 16840, 9274, 7217, 31073 |
F_50_54 |
Female population age 50-54 | integer | 0% | 10 | 36683, 15604, 8760, 6177, 24095 |
F_55_59 |
Female population age 55-59 | integer | 0% | 10 | 31078, 13481, 8146, 5529, 19425 |
F_60_64 |
Female population age 60-64 | integer | 0% | 10 | 26369, 11032, 8393, 5616, 16861 |
F_65_69 |
Female population age 65-69 | integer | 0% | 10 | 20475, 8388, 7225, 4860, 13389 |
F_70_74 |
Female population age 70-74 | integer | 0% | 10 | 12303, 5229, 4989, 3435, 8624 |
F_75_79 |
Female population age 75-79 | integer | 0% | 10 | 6641, 2955, 3107, 2196, 5025 |
F_80Plus |
F_80Plus | integer | 0% | 10 | 6044, 2632, 2874, 2127, 4613 |
M_00_04 |
Male population age 0-4 | integer | 0% | 10 | 100991, 72720, 36381, 24399, 62008 |
M_05_09 |
Male population age 5-9 | integer | 0% | 10 | 98204, 64345, 31080, 21774, 61806 |
M_10_14 |
Male population age 10-14 | integer | 0% | 10 | 95289, 58726, 29867, 20691, 61065 |
M_15_19 |
Male population age 15-19 | integer | 0% | 10 | 95369, 57542, 29187, 19957, 59562 |
M_20_24 |
Male population age 20-24 | integer | 0% | 10 | 90679, 54221, 26195, 18163, 53146 |
M_25_29 |
Male population age 25-29 | integer | 0% | 10 | 75991, 47054, 23320, 16531, 43108 |
M_30_34 |
Male population age 30-34 | integer | 0% | 10 | 70583, 37012, 22355, 16080, 47917 |
M_35_39 |
Male population age 35-39 | integer | 0% | 10 | 59451, 29157, 18393, 13768, 44000 |
M_40_44 |
Male population age 40-44 | integer | 0% | 10 | 39006, 17682, 11211, 8930, 31877 |
M_45_49 |
Male population age 45-49 | integer | 0% | 10 | 30252, 12906, 8385, 6682, 24444 |
M_50_54 |
Male population age 50-54 | integer | 0% | 10 | 26632, 12411, 7200, 5512, 18885 |
| +23 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% | 100 | HT0523, HT0544, HT0541, HT0512, HT0511 |
region_name |
Region name | string | SEL | 0% | 100 | Anse Rouge, Desdunes, Dessalines, Ennery, Gonaives |
F_TL |
Female population | integer | SEL | 0% | 100 | 24400, 19005, 93965, 26574, 191139 |
M_TL |
Male population | integer | SEL | 0% | 100 | 23268, 18597, 91422, 25955, 174912 |
T_TL |
Total population | integer | SEL | 0% | 100 | 47668, 37602, 185387, 52529, 366051 |
| 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 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 100 | 2442, 2078, 11867, 3219, 18738 |
F_05_09 |
Female population age 5-9 | integer | 0% | 100 | 2725, 1748, 10293, 3045, 18492 |
F_10_14 |
Female population age 10-14 | integer | 0% | 99 | 2872, 1608, 8836, 2671, 19861 |
F_15_19 |
Female population age 15-19 | integer | 0% | 100 | 2388, 1636, 7818, 2421, 23621 |
F_20_24 |
Female population age 20-24 | integer | 0% | 100 | 2298, 1780, 8290, 2275, 23600 |
F_25_29 |
Female population age 25-29 | integer | 0% | 100 | 1934, 1565, 7454, 2077, 18476 |
F_30_34 |
Female population age 30-34 | integer | 0% | 100 | 1743, 1535, 7098, 1870, 15556 |
F_35_39 |
Female population age 35-39 | integer | 0% | 98 | 1708, 1283, 6437, 1969, 12316 |
F_40_44 |
Female population age 40-44 | integer | 0% | 97 | 1360, 1305, 5302, 1434, 9153 |
F_45_49 |
Female population age 45-49 | integer | 0% | 99 | 1094, 995, 4792, 1205, 8067 |
F_50_54 |
Female population age 50-54 | integer | 0% | 98 | 1099, 946, 4187, 1097, 6500 |
F_55_59 |
Female population age 55-59 | integer | 0% | 98 | 822, 805, 3674, 1028, 5264 |
F_60_64 |
Female population age 60-64 | integer | 0% | 99 | 720, 673, 2796, 794, 4421 |
F_65_69 |
Female population age 65-69 | integer | 0% | 95 | 495, 525, 2280, 647, 3240 |
F_70_74 |
Female population age 70-74 | integer | 0% | 89 | 330, 274, 1446, 356, 1842 |
F_75_79 |
Female population age 75-79 | integer | 0% | 88 | 200, 135, 715, 255, 1041 |
F_80Plus |
F_80Plus | integer | 0% | 92 | 170, 114, 680, 211, 951 |
M_00_04 |
Male population age 0-4 | integer | 0% | 100 | 2540, 2187, 11724, 3011, 19033 |
M_05_09 |
Male population age 5-9 | integer | 0% | 100 | 2795, 1864, 10872, 2995, 17857 |
M_10_14 |
Male population age 10-14 | integer | 0% | 99 | 2998, 1849, 9721, 2907, 18794 |
M_15_19 |
Male population age 15-19 | integer | 0% | 100 | 2613, 1857, 8981, 2612, 21863 |
M_20_24 |
Male population age 20-24 | integer | 0% | 100 | 2274, 1935, 8000, 2157, 23393 |
M_25_29 |
Male population age 25-29 | integer | 0% | 100 | 1721, 1769, 7646, 1854, 18478 |
M_30_34 |
Male population age 30-34 | integer | 0% | 98 | 1745, 1848, 7789, 1921, 15205 |
M_35_39 |
Male population age 35-39 | integer | 0% | 98 | 1714, 1422, 6603, 1905, 11617 |
M_40_44 |
Male population age 40-44 | integer | 0% | 99 | 1055, 890, 4250, 1238, 7212 |
M_45_49 |
Male population age 45-49 | integer | 0% | 95 | 864, 575, 3415, 1104, 5291 |
M_50_54 |
Male population age 50-54 | integer | 0% | 94 | 732, 593, 3171, 1000, 4308 |
| +23 more pending fields — download the CSV/Parquet to see them all. | |||||
| 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 |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HT, HT, HT, HT, HT |
population_count |
Population count | float | SEL | 2% | 65 | 3858443.0, 3929030.0, 4001575.0, 4073068.0, 4146244.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.44, 43.825, 44.196, 42.724, 44.928 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 70.8024454423715, 68.99056510131, 70.4464617057034,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 34.7299995422363, 58.7400016784668, 74.0273206930105,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 292.3, 287.7, 283.3, 278.7, 274.2 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 94% | 4 | 59.6, 48.0, 77.0, 58.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Haiti, Haiti, Haiti, Haiti, Haiti |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HT, HT, HT, HT, HT |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.44, 43.825, 44.196, 42.724, 44.928 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 60 | 88.5, 88.4, 88.1, 87.7, 87.2 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 292.3, 287.7, 283.3, 278.7, 274.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 36 | 991.0, 975.0, 952.0, 929.0, 900.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.178, 6.179, 6.175, 6.173, 6.164 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 43.376, 43.197, 43.009, 42.858, 42.657 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 21.251, 20.911, 20.597, 21.647, 19.989 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 73% | 17 | 0.105, 0.07, 0.08, 0.081, 0.11 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 76% | 16 | 0.608832836151123, 0.784300029277802, 0.776000022888184,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 29 | 3.0, 14.0, 13.0, 9.0, 14.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.99165702, 3.7502923, 3.43250132, 3.53695321, 3.42928433 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Haiti, Haiti, Haiti, Haiti, Haiti |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| 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% | 45 | 53.4, 60.5, 73.8, 57.3, 70.3 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 41 | 62.1, 61.9, 77.1, 70.5, 73.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Haiti, Haiti, Haiti, Haiti, Haiti |
survey_year |
survey_year | integer | 0% | 4 | 2006, 2012, 2016, 2006, 2012 |
region |
region | string | 0% | 13 | ..Grande-Anse, ..Grande-Anse, ..Grande-Anse, ..Nippes, ..Nippes |
survey_id |
survey_id | string | 0% | 4 | HT2006DHS, HT2012DHS, HT2016DHS, HT2006DHS, HT2012DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 42 | 20.7, 21.5, 23.3, 19.6, 25.6 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 33 | 53.0, 63.0, 28.0, 55.0, 59.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 37 | 90.0, 94.0, 53.0, 81.0, 80.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 45 | 49.7, 45.0, 42.1, 31.7, 65.1 |
children_underweight |
Children underweight | float | CCL | 0% | 43 | 16.3, 14.5, 10.5, 21.0, 8.3 |
hiv_prevalence_pct |
Hiv prevalence percent | float | SEL | 21% | 19 | 1.6, 1.5, 1.6, 3.0, 2.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Haiti, Haiti, Haiti, Haiti, Haiti |
survey_year |
survey_year | integer | 0% | 4 | 2006, 2012, 2016, 2006, 2012 |
region |
region | string | 0% | 13 | ..Grande-Anse, ..Grande-Anse, ..Grande-Anse, ..Nippes, ..Nippes |
survey_id |
survey_id | string | 0% | 4 | HT2006DHS, HT2012DHS, HT2016DHS, HT2006DHS, HT2012DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Haiti |
admin_code |
Admin code | string | SEL | 0% | 1 | 30362934B41912981920337 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 26923.7592 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 11396309 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 423.28 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI, HTI, HTI, HTI, HTI |
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% | 10 | Département de l'Ouest, Département du Nord, Artibonite... |
admin_code |
Admin code | string | SEL | 0% | 10 | 49955354B91988968603803, 49955354B70742132222307,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 4976.4471, 2099.1071, 4857.6087, 2648.2768, 2091.6466 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 3238455, 1515555, 1306434, 1152835, 945312 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 650.76, 722.0, 268.95, 435.32, 451.95 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI, HTI, HTI, HTI, HTI |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 21 | Port-au-Prince, Cap-Haitien, Port-de-Paix, Jacmel, Gros Morne |
admin_code |
Admin code | integer | SEL | 0% | 21 | 1269, 2095, 1160, 924, 1472 |
area_sqkm |
Area sqkm | float | SEL | 0% | 20 | 273.5298, 39.7929, 48.7479, 24.8658, 5.9686 |
pop_2024 |
Population count | integer | SEL | 0% | 21 | 2494074, 514977, 354303, 173590, 170372 |
pop_density_2024 |
Population density | float | SEL | 0% | 21 | 9118.11, 12941.43, 7268.07, 6981.07, 28544.72 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 21 | 1733378, 340357, 343403, 118702, 78081 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 21 | 1.439, 1.513, 1.032, 1.462, 2.182 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 21 | Port-au-Prince, Gonaïves, Port-de-Paix, Cap-Haitien, Saint-Marc |
country_code |
Country code | string | SEL | 0% | 1 | HTI, HTI, HTI, HTI, HTI |
population |
Population count | integer | SEL | 0% | 21 | 1733378, 393644, 343403, 340357, 228979 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 21 | 1269, 1372, 1160, 2095, 1044 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Haiti, Haiti, Haiti, Haiti, Haiti |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| 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 | 2022.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 65.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .ht |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 39.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 1,360 (2022 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1360.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 7.5 million (2022 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 7.5 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 65 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 398 legal broadcasting stations, including about 60... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 398.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 39% (2019 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 35,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 35000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| 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 | 2800.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 25.224 |
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | small Caribbean island economy and OECS-member state;... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $32.971 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 | 32.971 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $34.406 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 | 34.406 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $35.059 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 | 35.059 |
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 | -4.2% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | -4.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -1.9% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -1.9 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | -1.7% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | -1.7 |
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 | $2,800 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $3,000 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 3000.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $3,000 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 3000.0 |
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 | $25.224 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 26.9% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 26.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 36.8% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 36.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 34% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 34.0 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 15.9% (2024 est.) |
| +105 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 49.3 |
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 49.3% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 83% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 83.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 1.2% (2019 est.) |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 1.2 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 472,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 472000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 861 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 861.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 152 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 152.0 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 81.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 81.3 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.4% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.4 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 18.3% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 18.3 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 5.7 metric tons (2022 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 5.7 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 19,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 19000.0 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 3.2 million cubic meters (2023 est.) |
natural_gas_consumption_numeric |
natural_gas_consumption_numeric | float | 0% | 1 | 3.2 |
natural_gas_imports_text |
natural_gas_imports_text | string | 0% | 1 | 3.2 million cubic meters (2023 est.) |
natural_gas_imports_numeric |
natural_gas_imports_numeric | float | 0% | 1 | 3.2 |
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 | 3.486 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 | 3.486 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 65.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 13.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 59.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.47 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.31 |
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation (trees cleared for agriculture and used as... |
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 | Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | tropical; semiarid where mountains in east cut off trade winds |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 65.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 36.5% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 36.5 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 10.9% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 10.9 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 17.8% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 17.8 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 13.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 21.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 21.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 59.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.47% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 2.854 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 2.854 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 2.848 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 | 2.848 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 6,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 6000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 9.8 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 9.8 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 2.31 million 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 | 9.1% (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 | 9.1 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 190 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 190.0 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 51 million cubic meters (2022 est.) |
| +7 more extension 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 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Haitian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Haitian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Black 95%, mixed and White 5% |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 95.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 27750.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 27560.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 190.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 376.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 1771.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2674.0 |
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 | 65.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 13.4 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 800.0 |
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Caribbean, western one-third of the island of... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 19 00 N, 72 25 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 19.0 |
map_references_text |
map_references_text | string | 0% | 1 | Central America and the Caribbean |
area_total_text |
area_total_text | string | 0% | 1 | 27,750 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 27,560 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 190 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Maryland |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 376 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Dominican Republic 376 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 376.0 |
coastline_text |
coastline_text | string | 0% | 1 | 1,771 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_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | to depth of exploitation |
climate_text |
climate_text | string | 0% | 1 | tropical; semiarid where mountains in east cut off trade winds |
terrain_text |
terrain_text | string | 0% | 1 | mostly rough and mountainous |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Pic la Selle 2,674 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Caribbean Sea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 470 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 470.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | bauxite, copper, calcium carbonate, gold, marble,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 65.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 36.5% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 36.5 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 10.9% (2023 est.) |
| +12 more extension 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 | HTI |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Republic of Haiti |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Haiti |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République d'Haïti (French)/Repiblik d Ayiti (Haitian Creole) |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Haïti (French)/ Ayiti (Haitian Creole) |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | derived from the Arawak name Ayti, meaning "Land of... |
government_type_text |
government_type_text | string | 0% | 1 | semi-presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Port-au-Prince |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 18 32 N, 72 20 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 18.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC-5 (same time as Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | -5.0 |
capital_daylight_saving_time_text |
capital_daylight_saving_time_text | string | 0% | 1 | +1hr, begins second Sunday in March; ends first Sunday... |
capital_daylight_saving_time_numeric |
capital_daylight_saving_time_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name means "the port of the prince" and probably... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 18.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 10 departments (départements, singular - département);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 10.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system strongly influenced by Napoleonic Code |
constitution_history_text |
constitution_history_text | string | 0% | 1 | many previous; latest adopted 10 March 1987, with... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 10.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the executive branch or by either the Senate... |
constitution_note |
constitution_note | string | 0% | 1 | note: the constitution is commonly referred to as the... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction; non-party state to the ICCt |
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 native-born citizen of Haiti |
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 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
| +91 more extension 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 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The native Taino -- who inhabited the island of... |
background_numeric |
background_numeric | float | 0% | 1 | 1492.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | French (official), Creole (official) |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | The World Factbook, une source indispensable... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 5 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 5.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 1,041,229 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 1041229.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Special Case; for more details, go to:... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | the Haitian Armed Forces (FAdH): ArmyMinistry of Justice... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimates vary; up to 2,000 trained military personnel... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 2000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | in recent years, Canada, Taiwan, UAE, and the US have... |
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 | men and women 18-25 may volunteer for the FAdH (2023) |
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 | Haiti's military was disbanded in 1995 after it... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1995.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 11898812.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 5863438.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 6035374.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 30.5 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 65.3 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 4.2 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 52.3 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 45.8 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 6.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 25.3 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.22 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 20.76 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 7.0 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -1.54 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 59.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.47 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.01 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.97 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 328.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 35.0 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 65.6 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.39 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.19 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.29 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 4.8 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 68.0 |
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 11,898,812 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 5,863,438 |
population_female_text |
population_female_text | string | 0% | 1 | 6,035,374 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 30.5% (male 1,790,061/female 1,794,210) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 65.3% (male 3,787,782/female 3,887,791) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 4.2% (2024 est.) (male 214,600/female 279,499) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 52.3 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 45.8 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 6.5 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 15.4 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 15.4 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 25.3 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 24.7 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 24.7 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 25.3 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 25.3 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.22% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 20.76 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 7 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -1.54 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | fairly even distribution; largest concentrations located... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 59.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.47% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 2.987 million PORT-AU-PRINCE (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 2.987 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.01 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.0 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.97 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.97 |
| +87 more extension 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 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 4.6 |
composition_ethnicity_primary_label_synth |
Black | string | CCL | 0% | - | Black |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Catholic 55%, Protestant 29%, Vodou 2.1%, other 4.6%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 55.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_catholic_pct_synth |
Catholic | numeric | 0% | - | 55.0 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 29.0 |
composition_religion_vodou_pct_synth |
Vodou | numeric | 0% | - | 2.1 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 10.0 |
composition_ethnicity_black_pct_synth |
Black | numeric | 0% | - | 95.0 |
composition_ethnicity_mixed_and_white_pct_synth |
mixed and White | numeric | 0% | - | 5.0 |
composition_ethnicity_primary_share_pct_synth |
Black | numeric | 0% | - | 95.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Gran Grif; Viv Ansanm |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
illicit_drugs_usg_identification_text |
illicit_drugs_usg_identification_text | string | 0% | 1 | major illicit drug-producing and/or drug-transit country (2025) |
illicit_drugs_usg_identification_numeric |
illicit_drugs_usg_identification_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| 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 | HH |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 17.0 |
country_code |
Country code | string | SEL | 0% | 1 | HTI |
country_name |
Country name | string | SEL | 0% | 1 | Haiti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 17 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 2 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 2.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 4 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 4.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 3, other 1 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 3.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 5 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 5.0 |
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 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
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 | 4 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 4.0 |
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 | Cap Haitien, Jacmel, Miragoane, Petit Goave, Port au Prince |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ha.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HT, HT, HT, HT, HT |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | HTI, HTI, HTI, HTI, HTI |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 2 | 0.0, 0.0, 0.0, 0.0, 0.0 |
grocery |
grocery | float | 0% | 2 | 0.0, 0.0, 0.0, 0.0, 0.0 |
parks |
parks | float | 0% | 6 | 10.89, -16.33, 20.86, 0.0, 0.0 |
transit |
transit | float | 0% | 4 | -1.13, 0.0, -5.73, 0.0, 0.0 |
workplaces |
workplaces | float | 0% | 8 | -14.96, -24.42, -8.14, -20.1, -20.67 |
residential |
residential | float | 0% | 4 | 2.45, 0.0, -0.05, 0.0, 0.0 |
region |
region | string | 0% | 8 | Artibonite Department, Centre Department, Nord... |
observation_count |
observation_count | integer | 0% | 7 | 949, 905, 949, 793, 497 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | HTI, HTI, HTI, HTI |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | fra, hat, eng, spa |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | French, Haitian; Haitian Creole, English, Spanish |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 8016, 332, 5, 5 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 95.9081, 3.9722, 0.0598, 0.0598 |
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% | 2 | Latn, , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | Latin, , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 1, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | HTI |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Haiti |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 1 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9715 |
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 | 21059 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 16522 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 21053 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 6 |
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 | 1846 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1345 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 1964 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1469 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 12571 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 10925 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 2016 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1848 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 2467 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 771 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 134 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 113 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 56 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 47 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 5 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 4 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 4 | hait1241, hait1244, hait1245, stan1288 |
name |
Name | string | CCL | 0% | 4 | Haitian Vodoun Culture Language, Haitian, Haitian Sign... |
iso639_3 |
Iso639 3 | string | CCL | 25% | 3 | hvc, hat, spa |
level |
Level | string | CCL | 0% | 1 | language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 3 | uncl1493, indo1319, sign1238, indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 4 | uncl1493, circ1240, amer1258, cast1243 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 3 | ['HT'], ['DO', 'HT'], ['HT'], ['AD', 'AR', 'BO', 'BR',... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 3 | 0, 2, 0, 38 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 4 | 18.911, 18.795135, 18.541, 40.4414 |
longitude |
longitude | float | 0% | 4 | -72.394, -72.136115, -72.285, -1.11788 |
classification |
classification | string | 0% | 1 | [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI |
society_id |
Society id | string | CCL | 0% | 1 | Sb9 |
society_name |
Society name | string | CCL | 0% | 1 | Haitians |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | hait1244 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:0; EA002:0; EA003:0; EA004:2; EA005:8 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:6; EA007:8; EA008:2; EA009:2; EA010:6 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:5; EA029:6; EA030:7; EA031:8; EA032:3 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:4; EA034:4; EA035:2 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:4; EA112:3 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:2; EA012:6; EA013:9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Haiti |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 18.41 |
longitude |
longitude | float | 0% | 1 | -72.17 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HTI |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 1 | Haitians |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 1 | IRRELEVANT |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 1 | 0.955 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 1 | 4101000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021 |
group_relevance |
group_relevance | string | 0% | 1 |
| 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. | |||||
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) | 8,016 | 95.9% | Latin |
| Haitian; Haitian Creole (hat) | 332 | 4.0% | — |
| English (eng) | 5 | 0.1% | — |
| Spanish (spa) | 5 | 0.1% | — |
16,522 distinct features ·
4 languages ·
1 script ·
6 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.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.