| 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 | [], [], [], [], [] |
ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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_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_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 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 | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | PNG |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 143 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 3 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 4.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 53 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 6.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 5.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 30 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 5.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 89 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 4 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 4 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 55 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 6.1 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 5.88 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 64 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.33 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | integer | 0% | 1 | 5 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 7 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 8 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 8 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 65 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 5.72 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 5.44 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 111 |
| +74 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| 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.