| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KHM, KHM, KHM, KHM, KHM |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 18 | Total, Banteay Mean Chey, Bat Dambang-Krong Pailin,... |
human_development_index |
Human development index | float | SEL | 0% | 65 | 0.427, 0.407, 0.439, 0.406, 0.385 |
health_index |
Health index | float | SEL | 0% | 77 | 0.542, 0.564, 0.534, 0.524, 0.491 |
education_index |
Education index | float | SEL | 0% | 87 | 0.383, 0.338, 0.413, 0.348, 0.323 |
income_index |
Income index | float | SEL | 0% | 52 | 0.377, 0.354, 0.384, 0.367, 0.36 |
life_expectancy |
Life expectancy | float | SEL | 0% | 97 | 55.21, 56.63, 54.73, 54.06, 51.91 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 98 | 5.738, 4.698, 6.526, 4.781, 4.63 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 6 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 89 | 69.0, 67.5, 85.4, 77.1, 79.0 |
men_who_are_literate |
Men who are literate | float | CCL | 34% | 56 | 85.0, 81.9, 92.4, 82.1, 89.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cambodia, Cambodia, Cambodia, Cambodia, Cambodia |
survey_year |
survey_year | integer | 0% | 5 | 2021, 2021, 2021, 2021, 2021 |
region |
region | string | 0% | 32 | ....Preah Vihear, ....Stueng Treng, ..Battambang,... |
survey_id |
survey_id | string | 0% | 5 | KH2021DHS, KH2021DHS, KH2021DHS, KH2021DHS, KH2021DHS |
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% | 91 | 39.4, 32.1, 34.9, 28.5, 35.2 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 27% | 50 | 31.0, 18.0, 27.0, 22.0, 18.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 27% | 55 | 36.0, 20.0, 28.0, 28.0, 35.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 92 | 69.1, 64.7, 88.7, 85.9, 61.7 |
children_underweight |
Children underweight | float | CCL | 0% | 85 | 17.1, 22.4, 15.4, 18.0, 16.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cambodia, Cambodia, Cambodia, Cambodia, Cambodia |
survey_year |
survey_year | integer | 0% | 5 | 2021, 2021, 2021, 2021, 2021 |
region |
region | string | 0% | 32 | ....Preah Vihear, ....Stueng Treng, ..Battambang,... |
survey_id |
survey_id | string | 0% | 5 | KH2021DHS, KH2021DHS, KH2021DHS, KH2021DHS, KH2021DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KH, KH, KH, KH, KH |
population_count |
Population count | float | SEL | 2% | 65 | 5449966.0, 5571168.0, 5697558.0, 5823010.0, 5946178.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 42.134, 42.588, 43.079, 43.612, 44.044 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 24% | 50 | 113.825789208758, 128.827777341533, 126.357117453489,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 85% | 10 | 67.3399963378906, 73.6100006103516, 76.870002746582,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 26% | 47 | 525.1, 541.0, 525.3, 484.6, 207.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 88% | 8 | 47.0, 50.2, 45.0, 34.0, 23.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cambodia, Cambodia, Cambodia, Cambodia, Cambodia |
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 | KH, KH, KH, KH, KH |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 42.134, 42.588, 43.079, 43.612, 44.044 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 29% | 47 | 65.6, 62.8, 55.5, 52.4, 49.3 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 26% | 47 | 525.1, 541.0, 525.3, 484.6, 207.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 874.0, 824.0, 772.0, 742.0, 702.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 62 | 6.313, 6.302, 6.301, 6.292, 6.288 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 43.883, 43.689, 43.564, 43.449, 43.223 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 21.087, 20.667, 20.245, 19.825, 19.474 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 67% | 21 | 0.028, 0.045, 0.062, 0.058, 0.107 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 83% | 11 | 0.746548891067505, 1.0809999704361, 2.09870004653931,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 38% | 27 | 17.0, 23.0, 37.0, 37.0, 45.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 6.48126554, 6.76028347, 6.91952753, 6.45762444, 6.48521805 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cambodia, Cambodia, Cambodia, Cambodia, Cambodia |
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 | KHM |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Cambodia |
admin_code |
Admin code | string | SEL | 0% | 1 | 94605694B21364896376597 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 181702.1941 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 17052134 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 93.85 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KHM, KHM, KHM, KHM, KHM |
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% | 25 | Phnom Penh, Kandal, Prey Veng, Siem Reap, Battambang |
admin_code |
Admin code | string | SEL | 0% | 25 | 37992800B83627159640807, 37992800B57023840568534,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 25 | 680.5699, 3255.5335, 4765.8919, 11369.5278, 12134.0029 |
pop_2024 |
Population count | integer | SEL | 0% | 25 | 2442585, 1564660, 1169102, 1101005, 1091110 |
pop_density_2024 |
Population density | float | SEL | 0% | 25 | 3589.03, 480.62, 245.31, 96.84, 89.92 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KHM, KHM, KHM, KHM, KHM |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 12 | Phnom Penh, Siem Reap, Battambang, Poipet, Sihanoukville |
admin_code |
Admin code | integer | SEL | 0% | 12 | 1741, 1139, 903, 496, 1553 |
area_sqkm |
Area sqkm | float | SEL | 0% | 12 | 351.8204, 58.6468, 39.7604, 21.8694, 34.7812 |
pop_2024 |
Population count | integer | SEL | 0% | 12 | 2132416, 160909, 124774, 62633, 60832 |
pop_density_2024 |
Population density | float | SEL | 0% | 12 | 6061.09, 2743.7, 3138.15, 2863.96, 1748.99 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 12 | 2419131, 315248, 129058, 151631, 98757 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 11 | 0.881, 0.51, 0.967, 0.413, 0.616 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 27 | bude1236, bulo1242, camb1244, cent1989, cent1992 |
name |
Name | string | CCL | 0% | 27 | Budeh Stieng, Bulo Stieng, Cambodian Sign Language,... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 27 | stt, sti, csx, khm, cmo |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 5 | aust1305, aust1305, sign1238, aust1305, aust1305 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 17 | stie1250, stie1250, deaf1237, khme1253, sout2691 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 9 | ['KH', 'VN'], ['KH', 'VN'], ['KH'], ['KH', 'LA', 'TH',... |
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% | 8 | 0, 2, 0, 3, 6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 27 | 11.6917, 11.9777, 11.557804, 12.0515, 12.6313 |
longitude |
longitude | float | 0% | 27 | 106.691, 106.798, 104.870261, 105.015, 107.301 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | KH |
region_name |
Region name | string | SEL | 0% | 1 | Cambodia |
F_TL |
Female population | integer | SEL | 0% | 1 | 8852561 |
M_TL |
Male population | integer | SEL | 0% | 1 | 8483749 |
T_TL |
Total population | integer | SEL | 0% | 1 | 17336307 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2024 |
year |
year | integer | 0% | 1 | 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 778987 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 754729 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 740841 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 828511 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 718990 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 661624 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 749610 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 684085 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 676840 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 394933 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 415968 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 387937 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 345090 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 272308 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 202331 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 127320 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 112457 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 815979 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 790739 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 775309 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 866580 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 728890 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 626866 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 715965 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 655180 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 660646 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 374024 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 25 | KH01, KH02, KH03, KH04, KH05 |
region_name |
Region name | string | SEL | 0% | 25 | Banteay Meanchey, Battambang, Kampong Cham, Kampong... |
F_TL |
Female population | integer | SEL | 0% | 25 | 481270, 562071, 519738, 304929, 501891 |
M_TL |
Male population | integer | SEL | 0% | 25 | 479485, 549487, 483271, 282557, 476299 |
T_TL |
Total population | integer | SEL | 0% | 25 | 960752, 1111565, 1003014, 587485, 978188 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 25 | 41049, 51598, 42916, 28089, 43549 |
F_05_09 |
Female population age 5-9 | integer | 0% | 25 | 43074, 52359, 44989, 27504, 41023 |
F_10_14 |
Female population age 10-14 | integer | 0% | 25 | 41089, 52203, 46349, 27064, 41591 |
F_15_19 |
Female population age 15-19 | integer | 0% | 25 | 46256, 53812, 45549, 28192, 50894 |
F_20_24 |
Female population age 20-24 | integer | 0% | 25 | 39107, 42129, 34008, 23041, 46914 |
F_25_29 |
Female population age 25-29 | integer | 0% | 25 | 36301, 39831, 30798, 22653, 41647 |
F_30_34 |
Female population age 30-34 | integer | 0% | 25 | 42390, 45205, 36633, 25467, 44931 |
F_35_39 |
Female population age 35-39 | integer | 0% | 25 | 35955, 37970, 36640, 23616, 40591 |
F_40_44 |
Female population age 40-44 | integer | 0% | 25 | 36513, 37148, 45421, 20151, 35414 |
F_45_49 |
Female population age 45-49 | integer | 0% | 25 | 20629, 23359, 25441, 12221, 19853 |
F_50_54 |
Female population age 50-54 | integer | 0% | 25 | 22685, 27520, 26325, 14274, 21403 |
F_55_59 |
Female population age 55-59 | integer | 0% | 25 | 22547, 27687, 25411, 13449, 19772 |
F_60_64 |
Female population age 60-64 | integer | 0% | 25 | 18938, 24499, 23817, 12445, 16984 |
F_65_69 |
Female population age 65-69 | integer | 0% | 25 | 14297, 18313, 19500, 10066, 13583 |
F_70_74 |
Female population age 70-74 | integer | 0% | 25 | 9682, 12839, 16020, 7823, 10679 |
F_75_79 |
Female population age 75-79 | integer | 0% | 25 | 6017, 8541, 9598, 4666, 7049 |
F_80Plus |
F_80Plus | integer | 0% | 25 | 4741, 7058, 10323, 4208, 6014 |
M_00_04 |
Male population age 0-4 | integer | 0% | 25 | 43991, 54391, 45494, 29371, 45311 |
M_05_09 |
Male population age 5-9 | integer | 0% | 25 | 45524, 55470, 47213, 28610, 43049 |
M_10_14 |
Male population age 10-14 | integer | 0% | 25 | 43169, 55168, 48499, 28056, 44075 |
M_15_19 |
Male population age 15-19 | integer | 0% | 25 | 48364, 57357, 47601, 30252, 52788 |
M_20_24 |
Male population age 20-24 | integer | 0% | 25 | 41872, 43687, 34212, 22944, 47157 |
M_25_29 |
Male population age 25-29 | integer | 0% | 25 | 35938, 38420, 28204, 20651, 40179 |
M_30_34 |
Male population age 30-34 | integer | 0% | 25 | 42428, 44274, 33186, 23345, 41922 |
M_35_39 |
Male population age 35-39 | integer | 0% | 25 | 36064, 38037, 33331, 21965, 37576 |
M_40_44 |
Male population age 40-44 | integer | 0% | 25 | 37015, 36237, 41577, 19517, 34135 |
M_45_49 |
Male population age 45-49 | integer | 0% | 25 | 20165, 20987, 23043, 11335, 18401 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KH, KH, KH, KH, KH |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | KHM, KHM, KHM, KHM, KHM |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 16 | -8.08, -9.66, 0.66, -13.16, 3.42 |
grocery |
grocery | float | 0% | 14 | -12.04, -11.47, 1.25, -1.39, 0.69 |
parks |
parks | float | 0% | 20 | -8.4, -2.32, -12.0, 22.16, 29.38 |
transit |
transit | float | 0% | 9 | -44.34, -34.03, -39.29, 0.0, 0.0 |
workplaces |
workplaces | float | 0% | 24 | -11.86, -15.75, -13.42, -2.18, -10.35 |
residential |
residential | float | 0% | 11 | 13.32, 9.62, 6.63, 0.0, 1.64 |
region |
region | string | 0% | 25 | Banteay Meanchey Province, Battambang Province, Kampong... |
observation_count |
observation_count | integer | 0% | 14 | 973, 971, 949, 949, 949 |
| 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 | 2024.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 116.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .kh |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 61.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 3.0 |
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
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 | 29,100 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 29100.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2024 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 20.5 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 20.5 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 116 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | mix of state-owned, joint public-private, and privately... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 27.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 61% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 510,000 (2022 est.) Slowly increase as focus is on... |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 510000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/cb.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 | 7000.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 46.353 |
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
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 | one of the fastest growing Southeast Asian economies;... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $123.676 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 | 123.676 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $116.658 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 | 116.658 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $111.095 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 | 111.095 |
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 | 6% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 6.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.1% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.1 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $7,000 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $6,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 6700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $6,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 6500.0 |
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 | $46.353 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 2.1% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 2.1 |
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_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 2.9% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 2.9 |
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 | 16.6% (2024 est.) |
| +113 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 | 92.3 |
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
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 | 92.3% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 99% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 99.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 88% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 88.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 3.673 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 3.673 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 16.998 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 16.998 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 5.096 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 5.096 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.882 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.882 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 55.5% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 55.5 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 5.8% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 5.8 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 38.6% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 38.6 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.1% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.1 |
coal_production_text |
coal_production_text | string | 0% | 1 | 27,000 metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 27000.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 4.39 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 4.39 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 4.36 million metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 4.36 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 77,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 77000.0 |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text | string | 0% | 1 | 15.664 million Btu/person (2023 est.) |
| +3 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 | 34.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 39.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 25.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.06 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.089 |
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
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 | habitat and biodiversity loss from illegal logging and... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Law of the Sea |
climate_text |
climate_text | string | 0% | 1 | tropical; rainy, monsoon season (May to November); dry... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 34.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 23.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 23.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 3.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 8.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 8.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 39.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 25.8% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 25.8 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 25.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.06% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 18.779 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 18.779 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 8.026 million 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 | 8.026 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 10.753 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 10.753 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 18.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 18.4 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 1.089 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 | 12.4% (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 | 12.4 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 98 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 98.0 |
| +8 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
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 | Cambodian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Cambodian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Khmer 95.4%, Cham 2.4%, Chinese 1.5%, other 0.7% (2019-20 est.) |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 95.4 |
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/cb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 181035.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 176515.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 4520.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2530.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 443.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1810.0 |
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 | 34.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 39.4 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 3540.0 |
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southeastern Asia, bordering the Gulf of Thailand,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 13 00 N, 105 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 13.0 |
map_references_text |
map_references_text | string | 0% | 1 | Southeast Asia |
area_total_text |
area_total_text | string | 0% | 1 | 181,035 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 176,515 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 4,520 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | 1.5 times the size of Pennsylvania; slightly smaller... |
area_comparative_numeric |
area_comparative_numeric | float | 0% | 1 | 1.5 |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,530 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Laos 555 km; Thailand 817 km; Vietnam 1158 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 555.0 |
coastline_text |
coastline_text | string | 0% | 1 | 443 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical; rainy, monsoon season (May to November); dry... |
terrain_text |
terrain_text | string | 0% | 1 | mostly low, flat plains; mountains in southwest and north |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Phnum Aoral 1,810 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Gulf of Thailand 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 126 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 126.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | oil and gas, timber, gemstones, iron ore, manganese,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 34.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 23.3% (2023 est.) |
| +20 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 | KHM |
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 | Kingdom of Cambodia |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Cambodia |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Preahreacheanachakr Kampuchea (phonetic transliteration) |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Kampuchea |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Khmer Republic, Democratic Kampuchea, People's Republic... |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name is derived from Kambu, a legendary ancestor of... |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary constitutional monarchy |
capital_name_text |
capital_name_text | string | 0% | 1 | Phnom Penh |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 11 33 N, 104 55 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 11.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+7 (12 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 7.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name means "mountain of plenty," from the Cambodian... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 24 provinces (khett, singular and plural) and 1... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 24.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system (influenced by the UN Transitional... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1947; latest promulgated 21 September 1993 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1947.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the monarch, by the prime minister, or by... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Cambodia |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 7 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 7.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | King Norodom SIHAMONI (since 29 October 2004) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 29.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister HUN MANET (since 22 August 2023) |
| +80 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 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Most Cambodians consider themselves to be Khmers,... |
background_numeric |
background_numeric | float | 0% | 1 | 10.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/cb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Khmer (official) 95.8%, minority languages 2.9%, Chinese... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 95.8 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | សៀវភៅហេតុការណនៅលើពិភពលោក។... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/cb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
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 | 28 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 28.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 2,526 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 2526.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 75,000 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 75000.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 3 — Cambodia does not fully meet the minimum... |
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/cb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
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 | Royal Cambodian Armed Forces (RCAF): Royal Cambodian... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.5% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.1% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.1 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.3 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.3 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | information varies; estimated 200,000 Armed Forces,... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 200000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the RCAF is armed largely with older Chinese and... |
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 is the legal minimum age for military service for men... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 340 Central African Republic (MINUSCA); 180 Lebanon... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 340.0 |
military_note_text |
military_note_text | string | 0% | 1 | the primary responsibilities of the Royal Cambodian... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/cb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 17230333.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 8362224.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 8868109.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 28.9 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 65.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 5.3 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 51.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 42.9 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 8.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 28.3 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.95 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 17.74 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.62 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -2.62 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 25.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.06 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.04 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.94 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 137.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 27.2 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 71.4 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.14 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.05 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.21 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.7 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 71.9 |
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
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 | 17,230,333 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 8,362,224 |
population_female_text |
population_female_text | string | 0% | 1 | 8,868,109 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 28.9% (male 2,497,056/female 2,436,618) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 65.8% (male 5,456,941/female 5,765,206) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 5.3% (2024 est.) (male 323,591/female 584,257) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 51.2 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 42.9 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 8.4 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 11.9 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 11.9 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 28.3 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 26.9 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 26.9 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 28.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 28.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.95% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 17.74 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.62 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -2.62 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population concentrated in the southeast, particularly... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 25.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.06% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 2.281 million PHNOM PENH (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 2.281 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.02 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.95 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.95 |
| +93 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 2.0 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 0.3 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.5 |
composition_ethnicity_primary_label_synth |
Khmer | string | CCL | 0% | - | Khmer |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Buddhist (official) 97.1%, Muslim 2%, Christian 0.3%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 97.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/cb.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_buddhist_official_pct_synth |
Buddhist (official) | numeric | 0% | - | 97.1 |
composition_ethnicity_khmer_pct_synth |
Khmer | numeric | 0% | - | 95.4 |
composition_ethnicity_cham_pct_synth |
Cham | numeric | 0% | - | 2.4 |
composition_ethnicity_chinese_pct_synth |
Chinese | numeric | 0% | - | 1.5 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.7 |
composition_ethnicity_primary_share_pct_synth |
Khmer | numeric | 0% | - | 95.4 |
| 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 | XU |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 12.0 |
country_code |
Country code | string | SEL | 0% | 1 | KHM |
country_name |
Country name | string | SEL | 0% | 1 | Cambodia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 12 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 1 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 1.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 642 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 642.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 642 km (2014) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 642.0 |
railways_note |
railways_note | string | 0% | 1 | note: under restoration |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 195 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 195.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | container ship 2, general cargo 123, oil tanker 18, other 52 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 2.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 2 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 2.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 0 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 0.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 1 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 1.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 1 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 1.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Kampong Saom, Phsar Ream |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/cb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 12 | Phnom Penh, Anlong Veng, Siem Reap, Trapeang Prasat,... |
country_code |
Country code | string | SEL | 0% | 1 | KHM, KHM, KHM, KHM, KHM |
population |
Population count | integer | SEL | 0% | 12 | 2419131, 322702, 315248, 240741, 174455 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 12 | 1741, 1023, 1139, 1453, 1248 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Cambodia, Cambodia, Cambodia, Cambodia, Cambodia |
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 | KHM, KHM, KHM, KHM, KHM |
gns_language_code |
gns_language_code | string | CCL | 0% | 6 | khm, tha, eng, vie, lao |
gns_language_name |
gns_language_name | string | CCL | 0% | 6 | Khmer, Thai, English, Vietnamese, Lao |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 6 | 22225, 90, 56, 19, 14 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 6 | 99.1878, 0.4017, 0.2499, 0.0848, 0.0625 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 5974, 43, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | Khmr, Thai, , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | Khmer, Thai, , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 1, 1, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | KHM |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Cambodia |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 6 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.8718 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 6023 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 42918 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 17349 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 42863 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 55 |
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 | 26762 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 11271 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 9845 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 3815 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 4598 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1636 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 25 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 23 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 902 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 242 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 777 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 354 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 9 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 8 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KHM, KHM |
society_id |
Society id | string | CCL | 0% | 2 | Ej15, Ej5 |
society_name |
Society name | string | CCL | 0% | 2 | Ancient Khmer, Khmer |
language_glottocode |
Language glottocode | string | CCL | 0% | 2 | oldk1249, cent1989 |
language_name |
Language name | string | CCL | 0% | 1 | , |
kinship_system |
Kinship system | string | CCL | 0% | 2 | EA001:1; EA002:0; EA003:2; EA004:3; EA005:5, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 2 | EA006:3; EA007:8; EA008:2; EA009:2; EA010:6, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 2 | EA028:5; EA029:6; EA030:7; EA031:8; EA032:2, EA028:6;... |
political_complexity |
Political complexity | string | CCL | 0% | 2 | EA033:5; EA034:2; EA035:NA, EA033:4; EA034:1; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 2 | EA034:2; EA112:NA, EA034:1; EA112:3 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:2; EA012:6; EA013:9, EA011:2; EA012:6; EA013:9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cambodia, Cambodia |
dataset |
dataset | string | 0% | 1 | EA, EA |
region |
region | string | 0% | 1 | , |
latitude |
latitude | float | 0% | 2 | 13.0, 12.0 |
longitude |
longitude | float | 0% | 2 | 104.0, 105.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| Khmer (khm) | 22,225 | 99.2% | Khmer |
| Thai (tha) | 90 | 0.4% | Thai |
| English (eng) | 56 | 0.2% | — |
| Vietnamese (vie) | 19 | 0.1% | — |
| Lao (lao) | 14 | 0.1% | — |
17,349 distinct features ·
6 languages ·
2 scripts ·
6,023 names in non-Roman script ·
55 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| commercial | bulk_download | |
| Global Data Lab | academic | api |
| World Bank Open Data | international_organization | api |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| USAID DHS Program (US Agency for International Development · Demographic and Health Surveys) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.