| 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_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 | 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_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 | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| 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.