ⓘ 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 | HND, HND, HND, HND, HND |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 19 | Total, Atlantida, Choluteca, Colon, Comayagua |
human_development_index |
Human development index | float | SEL | 0% | 82 | 0.559, 0.634, 0.47, 0.588, 0.553 |
health_index |
Health index | float | SEL | 0% | 55 | 0.695, 0.701, 0.694, 0.695, 0.694 |
education_index |
Education index | float | SEL | 0% | 93 | 0.454, 0.603, 0.306, 0.526, 0.461 |
income_index |
Income index | float | SEL | 0% | 76 | 0.554, 0.603, 0.49, 0.557, 0.529 |
life_expectancy |
Life expectancy | float | SEL | 0% | 87 | 65.18, 65.55, 65.14, 65.18, 65.11 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 6.803, 7.583, 5.961, 5.999, 5.986 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 6 | 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 | HN |
region_name |
Region name | string | SEL | 0% | 1 | Honduras |
F_TL |
Female population | integer | SEL | 0% | 1 | 5081181 |
M_TL |
Male population | integer | SEL | 0% | 1 | 4811493 |
T_TL |
Total population | integer | SEL | 0% | 1 | 9892674 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2024 |
year |
year | integer | 0% | 1 | 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 489528 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 474993 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 474164 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 482579 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 474687 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 450103 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 419443 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 374868 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 309620 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 258144 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 212446 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 175295 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 142681 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 114052 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 88416 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 61708 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 78454 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 508055 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 491838 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 490903 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 487790 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 454989 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 417084 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 381918 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 337007 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 274593 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 226768 |
| +24 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% | 18 | HN01, HN06, HN02, HN03, HN04 |
region_name |
Region name | string | SEL | 0% | 18 | Atlantida, Choluteca, Colon, Comayagua, Copan |
F_TL |
Female population | integer | SEL | 0% | 18 | 266803, 251395, 186550, 311664, 221883 |
M_TL |
Male population | integer | SEL | 0% | 18 | 248818, 245498, 179007, 292654, 215128 |
T_TL |
Total population | integer | SEL | 0% | 18 | 515621, 496893, 365557, 604318, 437011 |
| 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 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 18 | 25531, 24005, 19171, 32033, 22344 |
F_05_09 |
Female population age 5-9 | integer | 0% | 18 | 24641, 23387, 18856, 30064, 22009 |
F_10_14 |
Female population age 10-14 | integer | 0% | 18 | 24654, 22798, 18799, 30501, 22065 |
F_15_19 |
Female population age 15-19 | integer | 0% | 18 | 25176, 22665, 18604, 34363, 22025 |
F_20_24 |
Female population age 20-24 | integer | 0% | 18 | 24642, 22833, 17666, 33165, 21218 |
F_25_29 |
Female population age 25-29 | integer | 0% | 18 | 23398, 21544, 16454, 29037, 19806 |
F_30_34 |
Female population age 30-34 | integer | 0% | 18 | 21758, 19621, 14939, 24683, 17632 |
F_35_39 |
Female population age 35-39 | integer | 0% | 18 | 19412, 17684, 13022, 20860, 15341 |
F_40_44 |
Female population age 40-44 | integer | 0% | 18 | 16300, 14994, 10566, 17003, 12671 |
F_45_49 |
Female population age 45-49 | integer | 0% | 18 | 13754, 12862, 8719, 13996, 10563 |
F_50_54 |
Female population age 50-54 | integer | 0% | 18 | 11372, 10981, 7155, 11428, 8702 |
F_55_59 |
Female population age 55-59 | integer | 0% | 18 | 9423, 9397, 5902, 9343, 7220 |
F_60_64 |
Female population age 60-64 | integer | 0% | 18 | 7721, 7914, 4855, 7447, 5920 |
F_65_69 |
Female population age 65-69 | integer | 0% | 18 | 6230, 6541, 3921, 5905, 4768 |
F_70_74 |
Female population age 70-74 | integer | 0% | 17 | 4815, 5221, 3017, 4543, 3707 |
F_75_79 |
Female population age 75-79 | integer | 0% | 18 | 3472, 3859, 2173, 3268, 2673 |
F_80Plus |
F_80Plus | integer | 0% | 18 | 4504, 5089, 2731, 4025, 3219 |
M_00_04 |
Male population age 0-4 | integer | 0% | 18 | 26467, 24930, 19894, 33256, 23080 |
M_05_09 |
Male population age 5-9 | integer | 0% | 18 | 25475, 24300, 19571, 31183, 22645 |
M_10_14 |
Male population age 10-14 | integer | 0% | 18 | 25391, 23750, 19654, 31656, 22818 |
M_15_19 |
Male population age 15-19 | integer | 0% | 18 | 25941, 23382, 19224, 31700, 22261 |
M_20_24 |
Male population age 20-24 | integer | 0% | 18 | 24222, 23605, 17461, 27980, 20926 |
M_25_29 |
Male population age 25-29 | integer | 0% | 18 | 21375, 22067, 15473, 25086, 18874 |
M_30_34 |
Male population age 30-34 | integer | 0% | 18 | 19122, 19415, 13470, 22011, 16801 |
M_35_39 |
Male population age 35-39 | integer | 0% | 18 | 16660, 17008, 11531, 19004, 14623 |
M_40_44 |
Male population age 40-44 | integer | 0% | 18 | 13687, 13851, 9113, 15479, 11832 |
M_45_49 |
Male population age 45-49 | integer | 0% | 18 | 11400, 11573, 7420, 12802, 9714 |
| +24 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 | HN0108, HN0102, HN0103, HN0104, HN0101 |
region_name |
Region name | string | SEL | 0% | 96 | Arizona, El Porvenir, Esparta, Jutiapa, La Ceiba |
F_TL |
Female population | integer | SEL | 0% | 100 | 13355, 14704, 10343, 20024, 125571 |
M_TL |
Male population | integer | SEL | 0% | 100 | 13034, 14442, 10698, 19824, 110647 |
T_TL |
Total population | integer | SEL | 0% | 100 | 26389, 29146, 21041, 39848, 236218 |
| 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 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 98 | 1350, 1550, 1051, 2036, 11715 |
F_05_09 |
Female population age 5-9 | integer | 0% | 97 | 1182, 1377, 947, 2068, 11303 |
F_10_14 |
Female population age 10-14 | integer | 0% | 98 | 1275, 1394, 960, 2056, 11172 |
F_15_19 |
Female population age 15-19 | integer | 0% | 100 | 1298, 1359, 1005, 1925, 11668 |
F_20_24 |
Female population age 20-24 | integer | 0% | 98 | 1208, 1330, 934, 1805, 12155 |
F_25_29 |
Female population age 25-29 | integer | 0% | 97 | 1047, 1258, 846, 1676, 11561 |
F_30_34 |
Female population age 30-34 | integer | 0% | 94 | 1100, 1196, 825, 1537, 10633 |
F_35_39 |
Female population age 35-39 | integer | 0% | 99 | 983, 1169, 787, 1356, 9180 |
F_40_44 |
Female population age 40-44 | integer | 0% | 94 | 792, 866, 608, 1197, 7919 |
F_45_49 |
Female population age 45-49 | integer | 0% | 96 | 666, 716, 498, 957, 6590 |
F_50_54 |
Female population age 50-54 | integer | 0% | 96 | 575, 611, 476, 804, 5343 |
F_55_59 |
Female population age 55-59 | integer | 0% | 98 | 510, 581, 385, 727, 4211 |
F_60_64 |
Female population age 60-64 | integer | 0% | 94 | 425, 401, 326, 539, 3420 |
F_65_69 |
Female population age 65-69 | integer | 0% | 89 | 307, 272, 237, 438, 2900 |
F_70_74 |
Female population age 70-74 | integer | 0% | 92 | 234, 245, 192, 357, 2149 |
F_75_79 |
Female population age 75-79 | integer | 0% | 87 | 172, 137, 122, 286, 1567 |
F_80Plus |
F_80Plus | integer | 0% | 88 | 231, 242, 144, 260, 2085 |
M_00_04 |
Male population age 0-4 | integer | 0% | 99 | 1371, 1591, 1010, 2089, 11983 |
M_05_09 |
Male population age 5-9 | integer | 0% | 96 | 1264, 1414, 1046, 1990, 11542 |
M_10_14 |
Male population age 10-14 | integer | 0% | 99 | 1359, 1434, 1037, 2039, 11150 |
M_15_19 |
Male population age 15-19 | integer | 0% | 100 | 1344, 1419, 986, 1977, 11951 |
M_20_24 |
Male population age 20-24 | integer | 0% | 99 | 1187, 1379, 1027, 1795, 11290 |
M_25_29 |
Male population age 25-29 | integer | 0% | 95 | 1107, 1374, 850, 1673, 9940 |
M_30_34 |
Male population age 30-34 | integer | 0% | 99 | 924, 1242, 838, 1481, 8665 |
M_35_39 |
Male population age 35-39 | integer | 0% | 97 | 846, 1078, 758, 1358, 7306 |
M_40_44 |
Male population age 40-44 | integer | 0% | 98 | 730, 760, 638, 1109, 6085 |
M_45_49 |
Male population age 45-49 | integer | 0% | 97 | 540, 610, 524, 1015, 5151 |
| +24 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 | HN, HN, HN, HN, HN |
population_count |
Population count | float | SEL | 2% | 65 | 2062060.0, 2121242.0, 2182064.0, 2244878.0, 2309855.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.149, 47.71, 48.647, 49.385, 50.197 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 230.667390861566, 237.266657929647, 244.01209130438,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 79% | 14 | 80.0100021362305, 83.5899963378906, 84.7600021362305,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 206.9, 200.2, 193.7, 187.4, 181.2 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 86% | 8 | 49.7, 51.5, 49.7, 49.8, 50.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Honduras, Honduras, Honduras, Honduras, Honduras |
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 | HN, HN, HN, HN, HN |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.149, 47.71, 48.647, 49.385, 50.197 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 21% | 51 | 38.3, 37.3, 36.9, 35.4, 34.5 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 206.9, 200.2, 193.7, 187.4, 181.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 34 | 199.0, 191.0, 183.0, 177.0, 169.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 7.458, 7.448, 7.443, 7.441, 7.443 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 49.439, 49.005, 48.563, 48.194, 47.904 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 19.08, 18.517, 17.706, 17.064, 16.406 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 73% | 17 | 0.081, 0.19, 0.269, 0.269, 0.331 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 52% | 23 | 1.64625132083893, 1.75310003757477, 1.7036999464035,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 26 | 28.0, 34.0, 46.0, 52.0, 41.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 6.26817989, 5.92998314, 6.2445755, 6.89004707, 6.85484362 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Honduras, Honduras, Honduras, Honduras, Honduras |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| 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 | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 37 | 95.1, 97.8, 95.5, 95.9, 89.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Honduras, Honduras, Honduras, Honduras, Honduras |
survey_year |
survey_year | integer | 0% | 2 | 2005, 2011, 2005, 2011, 2005 |
region |
region | string | 0% | 22 | ..Distrito Central, ..Distrito Central, ..Resto Cortés,... |
survey_id |
survey_id | string | 0% | 2 | HN2005DHS, HN2011DHS, HN2005DHS, HN2011DHS, HN2005DHS |
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% | 36 | 40.5, 43.5, 41.5, 42.1, 42.7 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 23 | 26.0, 17.0, 24.0, 24.0, 27.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 25 | 30.0, 20.0, 30.0, 27.0, 33.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 39 | 67.7, 79.2, 75.8, 70.9, 84.3 |
children_underweight |
Children underweight | float | CCL | 0% | 34 | 3.6, 4.8, 5.4, 4.6, 6.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Honduras, Honduras, Honduras, Honduras, Honduras |
survey_year |
survey_year | integer | 0% | 2 | 2005, 2011, 2005, 2011, 2005 |
region |
region | string | 0% | 22 | ..Distrito Central, ..Distrito Central, ..Resto Cortés,... |
survey_id |
survey_id | string | 0% | 2 | HN2005DHS, HN2011DHS, HN2005DHS, HN2011DHS, HN2005DHS |
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 | HND |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Honduras |
admin_code |
Admin code | string | SEL | 0% | 1 | 56280076B5177116180733 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 112018.8335 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 9466748 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 84.51 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HND, HND, HND, HND, HND |
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% | 18 | Cortés, Francisco Morazán, Yoro, Comayagua, Olancho |
admin_code |
Admin code | string | SEL | 0% | 18 | 10453824B86429592273305, 10453824B24427405220616,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 18 | 3935.5903, 8576.2115, 7805.4323, 5045.8727, 24047.0322 |
pop_2024 |
Population count | integer | SEL | 0% | 18 | 2035879, 1897405, 622520, 593909, 589438 |
pop_density_2024 |
Population density | float | SEL | 0% | 18 | 517.3, 221.24, 79.75, 117.7, 24.51 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HND, HND, HND, HND, HND |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 16 | Tegucigalpa, San Pedro Sula, La Ceiba, Choluteca, El Progreso |
admin_code |
Admin code | integer | SEL | 0% | 16 | 1365, 511, 1563, 1261, 1153 |
area_sqkm |
Area sqkm | float | SEL | 0% | 16 | 162.0386, 209.789, 50.7087, 34.7897, 25.8492 |
pop_2024 |
Population count | integer | SEL | 0% | 16 | 1275968, 1186948, 204409, 137676, 134084 |
pop_density_2024 |
Population density | float | SEL | 0% | 16 | 7874.47, 5657.82, 4031.04, 3957.38, 5187.16 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 16 | 1653509, 1301567, 300948, 128000, 138954 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 16 | 0.772, 0.912, 0.679, 1.076, 0.965 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HN, HN, HN, HN, HN |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | HND, HND, HND, HND, HND |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 14 | -12.07, -20.41, -4.83, -3.32, -10.46 |
grocery |
grocery | float | 0% | 12 | 7.5, -6.67, -1.19, 2.61, 13.62 |
parks |
parks | float | 0% | 17 | -11.45, -11.96, -2.89, -6.62, -9.93 |
transit |
transit | float | 0% | 12 | -6.74, -10.73, -2.23, 0.0, -5.25 |
workplaces |
workplaces | float | 0% | 17 | -10.27, -24.69, -8.63, -13.64, -5.53 |
residential |
residential | float | 0% | 12 | 0.55, 0.17, 1.64, -1.88, 1.86 |
region |
region | string | 0% | 17 | Atlántida Department, Bay Islands Department, Choluteca... |
observation_count |
observation_count | integer | 0% | 17 | 3840, 1898, 1917, 2591, 3721 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 16 | Tegucigalpa, San Pedro Sula, La Ceiba, El Progreso, Choluteca |
country_code |
Country code | string | SEL | 0% | 1 | HND, HND, HND, HND, HND |
population |
Population count | integer | SEL | 0% | 16 | 1653509, 1301567, 300948, 138954, 128000 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 16 | 1365, 511, 1563, 1153, 1261 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Honduras, Honduras, Honduras, Honduras, Honduras |
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 | 4.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 76.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .hn |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 58.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 4.0 |
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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 | 444,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 444000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 4 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 7.92 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 7.92 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 76 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | multiple privately owned terrestrial TV networks,... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 300.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 58% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 476,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 476000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 4 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ho.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 | 6600.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 37.094 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 64.1 |
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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 | second-fastest-growing Central American economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $71.297 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 | 71.297 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $68.85 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 | 68.85 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $66.473 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 | 66.473 |
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 | 3.6% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3.6% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.1% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.1 |
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 | $6,600 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $6,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 6500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $6,400 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 6400.0 |
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 | $37.094 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 4.6% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 4.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 6.7% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 6.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 9.1% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 9.1 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +122 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 | 94.4 |
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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 | 94.4% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 100% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 100.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 86.8% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 86.8 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 3.334 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 3.334 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 8.303 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 8.303 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 4 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 4.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 214.601 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 214.601 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 3.617 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 3.617 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 38.4% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 38.4 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 8.9% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 8.9 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 5.9% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 5.9 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 33.2% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 33.2 |
electricity_generation_sources_geothermal_text |
electricity_generation_sources_geothermal_text | string | 0% | 1 | 3% of total installed capacity (2023 est.) |
electricity_generation_sources_geothermal_numeric |
electricity_generation_sources_geothermal_numeric | float | 0% | 1 | 3.0 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 10.7% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 10.7 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 144,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 144000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 148,000 metric tons (2023 est.) |
| +9 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 32.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 53.3 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 60.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.48 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.162 |
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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 from logging and agricultural clearing;... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | subtropical in lowlands, temperate in mountains |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 32% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 9.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 9.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 5.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 5.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 17.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 17.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 53.3% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 14.8% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 14.8 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 60.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.48% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 10.534 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 10.534 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 324,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 324000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 10.21 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 | 10.21 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 19.1 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 19.1 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 2.162 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 | 10.3% (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 | 10.3 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 315 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 315.0 |
| +8 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 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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 | Honduran(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Honduran |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Mestizo (mixed Indigenous and European) 90%, Indigenous... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 90.0 |
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/ho.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 112090.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 111890.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 200.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 1575.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 823.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2870.0 |
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 | 32.0 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 53.3 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 900.0 |
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Central America, bordering the Caribbean Sea, between... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 15 00 N, 86 30 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
map_references_text |
map_references_text | string | 0% | 1 | Central America and the Caribbean |
area_total_text |
area_total_text | string | 0% | 1 | 112,090 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 111,890 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 200 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly larger than Tennessee |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 1,575 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Guatemala 244 km; El Salvador 391 km; Nicaragua 940 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 244.0 |
coastline_text |
coastline_text | string | 0% | 1 | 823 km (Caribbean Sea 669 km; Gulf of Fonseca 163 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 | natural extension of territory or to 200 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | subtropical in lowlands, temperate in mountains |
terrain_text |
terrain_text | string | 0% | 1 | mostly mountains in interior, narrow coastal plains |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Cerro Las Minas 2,870 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 | 684 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 684.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | timber, gold, silver, copper, lead, zinc, iron ore,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 32% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 9.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 9.1 |
| +15 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 | HND |
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 Honduras |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Honduras |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | República de Honduras |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Honduras |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name means "depths" in Spanish and refers to the... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Tegucigalpa |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 14 06 N, 87 13 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 14.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC-6 (1 hour behind Washington, DC during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | -6.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name is a Nahuatl word meaning "silver mountain,"... |
capital_note |
capital_note | string | 0% | 1 | note: the Honduran constitution states that Tegucigalpa... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 18 departments (departamentos, singular - departamento);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 18.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest approved 11 January 1982,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 11.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Congress with at least... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | yes |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | yes |
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 | 1 to 3 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 1.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal and compulsory |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Iris Xiomara CASTRO de Zelaya (since 27 January 2022) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 27.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | President Iris Xiomara CASTRO de Zelaya (since 27 January 2022) |
| +73 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 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Once part of Spain's vast empire in the New World,... |
background_numeric |
background_numeric | float | 0% | 1 | 1821.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ho.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Spanish (official), Amerindian dialects |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | La Libreta Informativa del Mundo, la fuente... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ho.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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 | 341 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 341.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 100,637 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 100637.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ho.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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 | Honduran Armed Forces (Fuerzas Armadas de Honduras,... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.5% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.4% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.4 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.5% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.6% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.6 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 15,000 active Honduran Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 15000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FFAA's inventory is comprised of a mix of older or... |
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 | 18-22 years of age for voluntary military service for... |
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 | the Honduran Armed Forces (FFAA) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2011.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ho.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 9529188.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 4591247.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 4937941.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 28.7 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 65.7 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 5.6 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 52.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 43.6 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 8.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 26.1 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.28 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 19.7 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.9 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -2.02 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 60.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.48 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.93 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 47.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 15.4 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 73.1 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.29 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.13 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.49 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.7 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 88.2 |
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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 | 9,529,188 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 4,591,247 |
population_female_text |
population_female_text | string | 0% | 1 | 4,937,941 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 28.7% (male 1,378,026/female 1,353,238) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 65.7% (male 2,980,393/female 3,282,159) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 5.6% (2024 est.) (male 232,828/female 302,544) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 52.2 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 43.6 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 8.5 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 11.7 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 11.7 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 26.1 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 24.8 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 24.8 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 26.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 26.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.28% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 19.7 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.9 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -2.02 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most residents live in the mountainous western half of... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 60.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.48% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 1.568 million TEGUCIGALPA (capital), 982,000 San Pedro... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 1.568 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.02 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.91 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.91 |
| +93 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 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_ethnicity_primary_label_synth |
Mestizo (mixed Indigenous and European) | string | CCL | 0% | - | Mestizo (mixed Indigenous and European) |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Evangelical 55%, Roman Catholic 33.4%, none 10.1%,... |
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/ho.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_evangelical_pct_synth |
Evangelical | numeric | 0% | - | 55.0 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 33.4 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 10.1 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 1.5 |
composition_ethnicity_mestizo_mixed_indigenous_and_european_pct_synth |
Mestizo (mixed Indigenous and European) | numeric | 0% | - | 90.0 |
composition_ethnicity_indigenous_pct_synth |
Indigenous | numeric | 0% | - | 7.0 |
composition_ethnicity_african_descent_pct_synth |
African descent | numeric | 0% | - | 2.0 |
composition_ethnicity_white_pct_synth |
White | numeric | 0% | - | 1.0 |
composition_ethnicity_primary_share_pct_synth |
Mestizo (mixed Indigenous and European) | numeric | 0% | - | 90.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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 | La Mara Salvatrucha (MS-13) |
terrorist_group_s_numeric |
terrorist_group_s_numeric | float | 0% | 1 | -13.0 |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ho.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
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... |
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/ho.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 | HR |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 129.0 |
country_code |
Country code | string | SEL | 0% | 1 | HND |
country_name |
Country name | string | SEL | 0% | 1 | Honduras |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 129 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 6 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 6.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 699 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 699.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 164 km (2014) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 164.0 |
railways_note |
railways_note | string | 0% | 1 | 115 km 1.057-mm gauge420 km 0.914-mm gauge |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 489 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 489.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 233, oil tanker 82, other 174 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 233.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 8 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 8.0 |
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 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 7 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 7.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Coxen Hole, La Ceiba, Puerto Castilla, Puerto Cortes,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | central-america-n-caribbean/ho.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 11 | chor1273, fren1280, gari1256, hond1239, lenc1242 |
name |
Name | string | CCL | 0% | 11 | Ch'orti', Bay Islands Sign Language, Garifuna, Honduras... |
iso639_3 |
Iso639 3 | string | CCL | 18% | 9 | caa, cab, hds, yan, miq |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 8 | maya1287, sign1238, araw1281, sign1238, lenc1239 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 11 | chor1272, deaf1237, isla1279, cost1251, lenc1239 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 6 | ['GT', 'HN'], ['HN'], ['BZ', 'GT', 'HN', 'NI'], ['HN'], ['HN'] |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 5 | 0, 0, 2, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 11 | 14.818, 16.35726, 15.3529, 14.622, 13.667338 |
longitude |
longitude | float | 0% | 11 | -89.2363, -86.461386, -86.9091, -87.224, -87.49878 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HND, HND, HND |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 3 | Whites/mestizos, Indigenous peoples (Lenca, Maya-Chorti,... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | MONOPOLY, POWERLESS, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.91, 0.073, 0.014 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 3 | 9106000, 9107000, 9110000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | HND, HND |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | spa, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | Spanish, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 2193, 88 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 96.142, 3.858 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | HND |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Honduras |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9885 |
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 | 26161 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 19784 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 26158 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 17171 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 12873 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 3368 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 2710 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 4602 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 3552 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 661 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 317 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 147 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 138 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 212 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 194 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | HND, HND |
society_id |
Society id | string | CCL | 0% | 2 | Sa12, Sa16 |
society_name |
Society name | string | CCL | 0% | 2 | Lenca, Tolupan |
language_glottocode |
Language glottocode | string | CCL | 0% | 2 | lenc1242, toll1241 |
language_name |
Language name | string | CCL | 0% | 1 | , |
kinship_system |
Kinship system | string | CCL | 0% | 2 | EA001:1; EA002:1; EA003:1; EA004:0; EA005:7, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 2 | EA006:6; EA007:8; EA008:4; EA009:6; EA010:9, EA006:NA;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 2 | EA028:3; EA029:6; EA030:7; EA031:NA; EA032:2, EA028:NA;... |
political_complexity |
Political complexity | string | CCL | 0% | 2 | EA033:1; EA034:4; EA035:NA, EA033:NA; EA034:NA; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 2 | EA034:4; EA112:NA, EA034:NA; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 2 | EA011:2; EA012:6; EA013:9, EA011:2; EA012:6; EA013:1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Honduras, Honduras |
dataset |
dataset | string | 0% | 1 | EA, EA |
region |
region | string | 0% | 1 | , |
latitude |
latitude | float | 0% | 2 | 14.0, 15.0 |
longitude |
longitude | float | 0% | 2 | -88.0, -87.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate |
| 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 | HND |
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 | 122 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 4 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 4 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 42 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 6.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 6 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 13 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 7.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 7.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 7 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 8.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 7.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 5 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 8.1 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 8.25 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 45 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | integer | 0% | 1 | 6 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 5.7 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 21 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 7.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 8 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 13 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 7.05 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 6.98 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 38 |
| +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 |
|---|---|---|---|
| Spanish (spa) | 2,193 | 96.1% | — |
| English (eng) | 88 | 3.9% | — |
19,784 distinct features ·
2 languages ·
0 scripts ·
3 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.