| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Pcode | string | SEL | 0% | 1 | PG |
region_name |
Region Name | string | SEL | 0% | 1 | Papua New Guinea |
population_count |
Population Count | integer | SEL | 0% | 1 | 7275324 |
households |
Households | integer | SEL | 0% | 1 | 1374644 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin Level | string | 0% | 1 | admin_0 |
year |
Year | integer | 0% | 1 | 2011 |
avg_household_size |
Avg Household Size | float | 0% | 1 | 5.3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Pcode | string | SEL | 0% | 22 | PG-21, PG-6, PG-19, PG-2, PG-10 |
region_name |
Region Name | string | SEL | 0% | 22 | Western Highlands, Eastern Highlands, Southern... |
population_count |
Population Count | integer | SEL | 0% | 22 | 249449, 186309, 264264, 158197, 376473 |
households |
Households | integer | SEL | 0% | 22 | 65271, 34117, 50744, 25819, 76198 |
| 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 |
Year | integer | 0% | 1 | 2011, 2011, 2011, 2011, 2011 |
avg_household_size |
Avg Household Size | float | 0% | 15 | 3.8, 5.5, 5.2, 6.1, 4.9 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | abad1241, abag1245, abau1245, abom1238, abua1245 |
name |
Name | string | CCL | 0% | 100 | Abadi, Abaga, Abau, Abom, Abu' Arapesh |
iso639_3 |
Iso639 3 | string | CCL | 5% | 95 | kbt, abg, aau, aob, aah |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 1% | 28 | aust1307, nucl1709, sepi1257, anim1240, nucl1708 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 1% | 87 | west2850, unun9976, sepi1257, tiri1259, buki1250 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 2 | ['PG'], ['PG'], ['PG'], ['PG'], ['PG'] |
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% | 7 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 100 | -9.03389, -6.12028, -3.97222, -8.42448, -3.461612 |
longitude |
longitude | float | 0% | 99 | 146.992, 145.665, 141.324, 142.842, 142.917031 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PNG, PNG, PNG, PNG, PNG |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 23 | Total, Autonomous Region of Bougainville, Central,... |
human_development_index |
Human development index | float | SEL | 0% | 83 | 0.432, 0.477, 0.472, 0.349, 0.495 |
health_index |
Health index | float | SEL | 0% | 65 | 0.612, 0.67, 0.646, 0.595, 0.642 |
education_index |
Education index | float | SEL | 0% | 90 | 0.256, 0.313, 0.304, 0.133, 0.35 |
income_index |
Income index | float | SEL | 0% | 74 | 0.516, 0.516, 0.537, 0.536, 0.538 |
life_expectancy |
Life expectancy | float | SEL | 0% | 93 | 59.78, 63.53, 61.96, 58.7, 61.75 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 96 | 3.834, 5.515, 4.787, 2.463, 6.029 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 5 | 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% | 22 | PG01, PG02, PG03, PG04, PG05 |
region_name |
Admin name | string | SEL | 0% | 1 | Papua New Guinea, Papua New Guinea, Papua New Guinea,... |
T_TL |
Population count | integer | SEL | 0% | 22 | 201351, 158197, 269756, 364125, 276512 |
M_TL |
Population male | integer | SEL | 0% | 22 | 103762, 81814, 142231, 194834, 143791 |
F_TL |
Population female | integer | SEL | 0% | 22 | 97589, 76383, 127525, 169291, 132721 |
| 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 |
year | integer | 0% | 1 | 2011, 2011, 2011, 2011, 2011 |
ADM1_EN |
ADM1_EN | string | 0% | 22 | Western Province, Gulf Province, Central Province,... |
WARDS |
WARDS | integer | 0% | 22 | 307, 144, 209, 9, 391 |
UNITS |
UNITS | integer | 0% | 22 | 872, 531, 1109, 520, 1169 |
HOUSEHOLDS |
HOUSEHOLDS | integer | 0% | 22 | 31322, 25819, 41309, 47559, 55262 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | PG0102, PG0101, PG0103, PG0202, PG0201 |
region_name |
Admin name | string | SEL | 0% | 1 | Papua New Guinea, Papua New Guinea, Papua New Guinea,... |
T_TL |
Population count | integer | SEL | 0% | 100 | 62850, 79349, 59152, 50966, 107231 |
M_TL |
Population male | integer | SEL | 0% | 99 | 32388, 40891, 30483, 25812, 56002 |
F_TL |
Population female | integer | SEL | 0% | 99 | 30462, 38458, 28669, 25154, 51229 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 2 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
year | integer | 0% | 1 | 2011, 2011, 2011, 2011, 2011 |
ADM2_EN |
ADM2_EN | string | 13% | 87 | North Fly District, Middle Fly District, South Fly... |
WARDS |
WARDS | integer | 0% | 69 | 110, 125, 72, 77, 67 |
UNITS |
UNITS | integer | 0% | 93 | 336, 308, 228, 215, 316 |
HOUSEHOLDS |
HOUSEHOLDS | integer | 0% | 99 | 10350, 11661, 9311, 7810, 18009 |
| 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 | PG, PG, PG, PG, PG |
population_count |
Population count | float | SEL | 2% | 65 | 1995110.0, 2046127.0, 2093919.0, 2141376.0, 2188325.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 45.805, 46.425, 46.706, 47.674, 48.295 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 115.530490488928, 119.656325913849, 124.734548848091,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 57.3400001525879, 69.0988851105313, 70.0599975585938,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 198.3, 192.1, 186.2, 180.3, 174.4 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 37.5, 39.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Papua New Guinea, Papua New Guinea, Papua New Guinea,... |
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 | PG, PG, PG, PG, PG |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 45.805, 46.425, 46.706, 47.674, 48.295 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 24% | 45 | 43.1, 41.9, 40.6, 39.4, 38.3 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 198.3, 192.1, 186.2, 180.3, 174.4 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 33 | 393.0, 386.0, 379.0, 377.0, 369.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.018, 6.074, 6.135, 6.153, 6.191 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 45.13, 44.883, 44.907, 44.674, 44.679 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 16.898, 16.463, 16.265, 15.599, 15.178 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 76% | 14 | 0.079, 0.086, 0.056, 0.085, 0.062 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 86% | 9 | 6.6023998260498, 4.94320011138916, 5.54440021514893,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 29 | 32.0, 32.0, 29.0, 27.0, 34.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 2.0184176, 2.3006382, 2.77562952, 2.4531486, 2.59372902 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Papua New Guinea, Papua New Guinea, Papua New Guinea,... |
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% | 25 | 88.0, 74.8, 66.3, 86.1, 72.3 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 24 | 90.0, 82.8, 79.1, 87.4, 80.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Papua New Guinea, Papua New Guinea, Papua New Guinea,... |
survey_year |
survey_year | integer | 0% | 1 | 2017, 2017, 2017, 2017, 2017 |
region |
region | string | 0% | 26 | ..Autonomous Region of Bougainville, ..Central, ..Chimbu... |
survey_id |
survey_id | string | 0% | 1 | PG2017DHS, PG2017DHS, PG2017DHS, PG2017DHS, PG2017DHS |
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% | 25 | 14.2, 27.4, 26.2, 22.7, 14.9 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 19 | 20.0, 22.0, 34.0, 33.0, 45.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 22 | 25.0, 36.0, 60.0, 37.0, 57.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 26 | 22.4, 52.4, 38.0, 59.7, 23.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Papua New Guinea, Papua New Guinea, Papua New Guinea,... |
survey_year |
survey_year | integer | 0% | 1 | 2017, 2017, 2017, 2017, 2017 |
region |
region | string | 0% | 26 | ..Autonomous Region of Bougainville, ..Central, ..Chimbu... |
survey_id |
survey_id | string | 0% | 1 | PG2017DHS, PG2017DHS, PG2017DHS, PG2017DHS, PG2017DHS |
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 | PNG, PNG, PNG, PNG, PNG |
society_id |
Society id | string | CCL | 0% | 43 | Ie10, Ie11, Ie12, Ie13, Ie15 |
society_name |
Society name | string | CCL | 0% | 43 | Motu, Kakoli, Kwoma, Kiwai, Abelam |
language_glottocode |
Language glottocode | string | CCL | 0% | 43 | motu1246, umbu1258, kwom1262, sout2949, ambu1247 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 27 | EA001:1; EA002:0; EA003:4; EA004:0; EA005:5, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 37 | EA006:1; EA007:2; EA008:7; EA009:NA; EA010:8, EA006:4;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 24 | EA028:3; EA029:5; EA030:7; EA031:5; EA032:4, EA028:5;... |
political_complexity |
Political complexity | string | CCL | 0% | 9 | EA033:1; EA034:1; EA035:NA, EA033:1; EA034:2; EA035:4,... |
religion_importance |
Religion importance | string | CCL | 0% | 15 | EA034:1; EA112:2, EA034:2; EA112:NA, EA034:1; EA112:6,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 12 | EA011:1; EA012:8; EA013:3, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Papua New Guinea, Papua New Guinea, Papua New Guinea,... |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 24 | -9.0, -6.0, -4.0, -9.0, -3.79 |
longitude |
longitude | float | 0% | 27 | 147.0, 144.0, 142.0, 143.0, 143.09 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PNG |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Papua New Guinea |
admin_code |
Admin code | string | SEL | 0% | 1 | 50406891B16179730798819 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 461748.9069 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 9647515 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 20.89 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PNG, PNG, PNG, PNG, PNG |
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% | 22 | Morobe Province, Southern Highlands Province, Eastern... |
admin_code |
Admin code | string | SEL | 0% | 22 | 602756B21024922409346, 602756B57671102759024,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 22 | 33785.0953, 15817.3615, 11148.8382, 9763.2864, 28936.8672 |
pop_2024 |
Population count | integer | SEL | 0% | 22 | 946362, 790716, 669047, 652444, 642700 |
pop_density_2024 |
Population density | float | SEL | 0% | 21 | 28.01, 49.99, 60.01, 66.83, 22.21 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PNG, PNG, PNG, PNG, PNG |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 10 | Port Moresby, Lae, Goroka, Madang, Mount Hagen |
admin_code |
Admin code | integer | SEL | 0% | 10 | 1360, 1460, 1146, 1255, 782 |
area_sqkm |
Area sqkm | float | SEL | 0% | 10 | 71.5439, 34.7721, 17.882, 23.842, 10.9279 |
pop_2024 |
Population count | integer | SEL | 0% | 10 | 308781, 117480, 112963, 80271, 69446 |
pop_density_2024 |
Population density | float | SEL | 0% | 10 | 4315.97, 3378.57, 6317.13, 3366.79, 6354.93 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 10 | 442165, 116212, 92211, 88138, 100524 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 10 | 0.698, 1.011, 1.225, 0.911, 0.691 |
| 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 | 2.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 39.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .pg |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 24.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
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 | 166,000 (2021 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 166000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2022 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 4.1 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 4.1 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 39 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 5 TV stations: 1 commercial (TV Wan), 2 state-run... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 5.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 24% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 22,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 22000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/pp.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 | 4300.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 32.538 |
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
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 | lower-middle-income Pacific island economy; primarily... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $45.487 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 | 45.487 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $43.697 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 | 43.697 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $42.093 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 | 42.093 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 4.1% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3.8% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.7% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.7 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $4,300 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $4,200 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 4200.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $4,100 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 4100.0 |
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 | $32.538 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 0.6% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 0.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 2.3% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 2.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 5.3% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 5.3 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 17.2% (2024 est.) |
| +108 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 | 19.0 |
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
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 | 19% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 65.1% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 65.1 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 14.2% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 14.2 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 1.148 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 1.148 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 4.399 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 4.399 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 328.234 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 328.234 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 76.4% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 76.4 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.1% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.1 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 21.2% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 21.2 |
electricity_generation_sources_geothermal_text |
electricity_generation_sources_geothermal_text | string | 0% | 1 | 2% of total installed capacity (2023 est.) |
electricity_generation_sources_geothermal_numeric |
electricity_generation_sources_geothermal_numeric | float | 0% | 1 | 2.0 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.3% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.3 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 2,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 2000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 32,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 32000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 30,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 30000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 159.656 million barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 159.656 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 11.57 billion cubic meters (2023 est.) |
| +11 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 | 3.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 75.2 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 13.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.91 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.0 |
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
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 | rainforest loss as a result of commercial demand for... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Antarctic Treaty, Biodiversity, Climate Change, Climate... |
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 | Comprehensive Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | tropical; northwest monsoon (December to March),... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.7% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.7 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 2.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.4% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.4 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 75.2% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 21.7% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 21.7 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 13.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.91% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 5.798 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 5.798 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 1,000 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 | 1000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 4.467 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 | 4.467 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 1.33 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 1.33 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 8.8 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 8.8 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 1 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 | 6.3% (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 | 6.3 |
| +10 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 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
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 | Papua New Guinean(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Papua New Guinean |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Melanesian, Papuan, Negrito, Micronesian, Polynesian |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/pp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 462840.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 452860.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 9980.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 824.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 5152.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 4509.0 |
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 | 3.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 75.2 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 0.0 |
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Oceania, group of islands including the eastern half of... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 6 00 S, 147 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 6.0 |
map_references_text |
map_references_text | string | 0% | 1 | Oceania |
area_total_text |
area_total_text | string | 0% | 1 | 462,840 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 452,860 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 9,980 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly larger than California |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 824 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Indonesia 824 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 824.0 |
coastline_text |
coastline_text | string | 0% | 1 | 5,152 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_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200-m depth or to the depth of exploitation |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
maritime_claims_exclusive_fishing_zone_text |
maritime_claims_exclusive_fishing_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_fishing_zone_numeric |
maritime_claims_exclusive_fishing_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_note |
maritime_claims_note | string | 0% | 1 | note: measured from claimed archipelagic baselines |
climate_text |
climate_text | string | 0% | 1 | tropical; northwest monsoon (December to March),... |
terrain_text |
terrain_text | string | 0% | 1 | mostly mountains with coastal lowlands and rolling foothills |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Wilhelm 4,509 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Pacific Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 667 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 667.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | gold, copper, silver, natural gas, timber, oil, fisheries |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.7% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.7 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 2% (2023 est.) |
| +16 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 | PNG |
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 | Independent State of Papua New Guinea |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Papua New Guinea |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Papuaniugini |
country_name_former_text |
country_name_former_text | string | 0% | 1 | German New Guinea, British New Guinea, Territory of... |
country_name_abbreviation_text |
country_name_abbreviation_text | string | 0% | 1 | PNG |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name derives from the Malay word pua-pua, describing... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 1545.0 |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary democracy under a constitutional monarchy;... |
capital_name_text |
capital_name_text | string | 0% | 1 | Port Moresby |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 9 27 S, 147 11 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 9.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+10 (15 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 10.0 |
capital_time_zone_note_text |
capital_time_zone_note_text | string | 0% | 1 | Papua New Guinea has two time zones, including... |
capital_time_zone_note_numeric |
capital_time_zone_note_numeric | float | 0% | 1 | 11.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | named in 1873 by Captain John MORESBY in honor of his... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1873.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 20 provinces, 1 autonomous region*, and 1 district**;... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 20.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | adopted 15 August 1975, effective at independence 16... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 15.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Parliament; passage has... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Papua New Guinea |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 8 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 8.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
| +69 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 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Papua New Guinea (PNG) occupies the eastern half of the... |
background_numeric |
background_numeric | float | 0% | 1 | 50000.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/pp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Tok Pisin (official), English (official), Hiri Motu... |
languages_numeric |
languages_numeric | float | 0% | 1 | 839.0 |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/pp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
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 | 10,983 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 10983.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 107,985 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 107985.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 3 — Papua New Guinea does not fully meet the... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/pp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
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 | Papua New Guinea Defense Force (PNGDF): Land, Air,... |
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 | 0.3% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.3 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 0.3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 0.3 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.3% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.3 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.4% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.4 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.4% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.4 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 4,000 active PNGDF (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 4000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the PNGDF is lightly armed; the Land Force has no heavy... |
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 | 18-27 (30 for officers) for voluntary military service... |
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 Papua New Guinea Defense Force (PNGDF) is tasked... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2024.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/pp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 10273996.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 5206211.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 5067785.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 37.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 58.9 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 4.0 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 69.4 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 62.4 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 7.0 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 21.9 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.22 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 27.57 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.36 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 13.7 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.91 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.03 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 189.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 31.3 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 70.1 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.72 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.82 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.06 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.2 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 70.1 |
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
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 | 10,273,996 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 5,206,211 |
population_female_text |
population_female_text | string | 0% | 1 | 5,067,785 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 37.1% (male 1,902,272/female 1,825,471) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 58.9% (male 2,991,479/female 2,923,410) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 4% (2024 est.) (male 198,511/female 205,090) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 69.4 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 62.4 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 7 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 14.2 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 14.2 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 21.9 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 21.6 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 21.6 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 21.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 21.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.22% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 27.57 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.36 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population concentrated in the highlands and eastern... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 13.7% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.91% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 410,000 PORT MORESBY (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 410000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.04 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.02 |
| +86 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 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 64.3% (Evangelical Lutheran 18.4%, Seventh... |
religions_numeric |
religions_numeric | float | 0% | 1 | 64.3 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/pp.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 64.3 |
composition_religion_protestant__evangelical_lutheran_pct_synth |
Evangelical Lutheran | numeric | 0% | - | 18.4 |
composition_religion_protestant__seventh_day_adventist_pct_synth |
Seventh Day Adventist | numeric | 0% | - | 12.9 |
composition_religion_protestant__pentecostal_pct_synth |
Pentecostal | numeric | 0% | - | 10.4 |
composition_religion_protestant__united_church_pct_synth |
United Church | numeric | 0% | - | 10.3 |
composition_religion_protestant__evangelical_alliance_pct_synth |
Evangelical Alliance | numeric | 0% | - | 5.9 |
composition_religion_protestant__anglican_pct_synth |
Anglican | numeric | 0% | - | 3.2 |
composition_religion_protestant__baptist_pct_synth |
Baptist | numeric | 0% | - | 2.8 |
composition_religion_protestant__salvation_army_pct_synth |
Salvation Army | numeric | 0% | - | 0.4 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 26.0 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 5.3 |
composition_religion_non_christian_pct_synth |
non-Christian | numeric | 0% | - | 1.4 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 3.1 |
composition_ethnicity_melanesian_pct_synth |
Melanesian | numeric | 0% | - | - |
composition_ethnicity_papuan_pct_synth |
Papuan | numeric | 0% | - | - |
composition_ethnicity_negrito_pct_synth |
Negrito | numeric | 0% | - | - |
composition_ethnicity_micronesian_pct_synth |
Micronesian | numeric | 0% | - | - |
composition_ethnicity_polynesian_pct_synth |
Polynesian | numeric | 0% | - | - |
| 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 | P2 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 569.0 |
country_code |
Country code | string | SEL | 0% | 1 | PNG |
country_name |
Country name | string | SEL | 0% | 1 | Papua New Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 2.0 |
airports_text |
airports_text | string | 0% | 1 | 569 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 3 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 3.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 205 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 205.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | container ship 6, general cargo 89, oil tanker 4, other 106 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 6.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 22 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 22.0 |
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 | 6 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 6.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 16 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 16.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 8 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 8.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Kavieng Harbor, Kieta, Port Moresby, Rabaul, Vanimo, Wewak Harbor |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/pp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 10 | Port Moresby, Mendi, Lae, Mount Hagen, Goroka |
country_code |
Country code | string | SEL | 0% | 1 | PNG, PNG, PNG, PNG, PNG |
population |
Population count | integer | SEL | 0% | 10 | 442165, 125843, 116212, 100524, 92211 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 10 | 1360, 504, 1460, 782, 1146 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Papua New Guinea, Papua New Guinea, Papua New Guinea,... |
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 |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | PNG, PNG, PNG |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | eng, ind, tpi |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | English, Indonesian, Tok Pisin |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 72, 11, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 85.7143, 13.0952, 1.1905 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | PNG |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Papua New Guinea |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9968 |
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 | 30771 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 21228 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 30770 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 1 |
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 | 14927 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 11531 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 6216 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3797 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 7984 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 4697 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 1219 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 1008 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 357 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 141 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 30 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 16 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 15 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 15 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 4 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 4 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 19 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 19 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PNG, PNG |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 2 | Papua New Guineans, Bougainvilleans |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | DOMINANT, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 2 | 0.966, 0.034 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 2 | 91001000, 91002000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , true |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| English (eng) | 72 | 85.7% | — |
| Indonesian (ind) | 11 | 13.1% | — |
| Tok Pisin (tpi) | 1 | 1.2% | — |
21,228 distinct features ·
3 languages ·
0 scripts ·
1 conventional English name
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.