ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| 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_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_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 | 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 | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | 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_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_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | 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_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | HTI |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 179 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 2.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 3 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 19 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 7 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 5.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 30 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 6 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 7 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 8 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 8 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 33 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 6.1 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | integer | 0% | 1 | 6 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 38 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.77 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 5.45 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 34 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 6.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 6 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 35 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 5.93 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 5.73 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 134 |
| +74 more pending 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. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| 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.