ⓘ 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 | LAO, LAO, LAO, LAO, LAO |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 18 | Total, Attapeu, Bokeo, Borikhamxay, Champasack |
human_development_index |
Human development index | float | SEL | 0% | 81 | 0.438, 0.406, 0.403, 0.485, 0.442 |
health_index |
Health index | float | SEL | 0% | 90 | 0.524, 0.521, 0.496, 0.627, 0.554 |
education_index |
Education index | float | SEL | 0% | 76 | 0.361, 0.319, 0.304, 0.361, 0.352 |
income_index |
Income index | float | SEL | 0% | 81 | 0.446, 0.402, 0.435, 0.503, 0.443 |
life_expectancy |
Life expectancy | float | SEL | 0% | 97 | 54.04, 53.87, 52.24, 60.75, 55.98 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 5.412, 4.79, 4.015, 5.281, 5.63 |
| 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 |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | LA |
region_name |
Region name | string | SEL | 0% | 1 | Lao People's Democratic Republic (the) |
F_TL |
Female population | integer | SEL | 0% | 1 | 3810923 |
M_TL |
Male population | integer | SEL | 0% | 1 | 3820875 |
T_TL |
Total population | integer | SEL | 0% | 1 | 7631798 |
| 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 | 359922 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 376955 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 384113 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 357008 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 343444 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 338459 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 317990 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 282125 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 239679 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 195304 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 163365 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 139030 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 111613 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 83489 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 53409 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 33186 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 31832 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 375949 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 391630 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 391900 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 365504 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 350972 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 340471 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 318817 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 281895 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 241175 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 195067 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 18 | LA17, LA05, LA11, LA16, LA07 |
region_name |
Region name | string | SEL | 0% | 18 | Attapeu, Bokeo, Bolikhamxai, Champasack, Houaphan |
F_TL |
Female population | integer | SEL | 0% | 18 | 84145, 108306, 166837, 400594, 157190 |
M_TL |
Male population | integer | SEL | 0% | 18 | 87448, 107725, 168343, 389176, 160783 |
T_TL |
Total population | integer | SEL | 0% | 18 | 171593, 216031, 335180, 789770, 317973 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 18 | 9640, 10360, 17014, 33806, 17277 |
F_05_09 |
Female population age 5-9 | integer | 0% | 18 | 9617, 11146, 17956, 36047, 17802 |
F_10_14 |
Female population age 10-14 | integer | 0% | 18 | 8978, 11844, 17511, 39453, 17836 |
F_15_19 |
Female population age 15-19 | integer | 0% | 18 | 8180, 11179, 16057, 35608, 16968 |
F_20_24 |
Female population age 20-24 | integer | 0% | 18 | 8096, 9799, 15250, 37354, 15928 |
F_25_29 |
Female population age 25-29 | integer | 0% | 18 | 7499, 9105, 14249, 37429, 13037 |
F_30_34 |
Female population age 30-34 | integer | 0% | 18 | 6155, 8859, 13130, 34820, 9297 |
F_35_39 |
Female population age 35-39 | integer | 0% | 18 | 5748, 7985, 11764, 28462, 9455 |
F_40_44 |
Female population age 40-44 | integer | 0% | 18 | 4702, 6405, 10216, 25007, 8454 |
F_45_49 |
Female population age 45-49 | integer | 0% | 18 | 3947, 5095, 8378, 21538, 7282 |
F_50_54 |
Female population age 50-54 | integer | 0% | 18 | 3111, 4267, 7016, 17718, 6519 |
F_55_59 |
Female population age 55-59 | integer | 0% | 18 | 2744, 3623, 5867, 15828, 5353 |
F_60_64 |
Female population age 60-64 | integer | 0% | 18 | 2021, 3116, 4475, 12517, 4319 |
F_65_69 |
Female population age 65-69 | integer | 0% | 18 | 1537, 2367, 3277, 9943, 3232 |
F_70_74 |
Female population age 70-74 | integer | 0% | 18 | 960, 1485, 2049, 6819, 1938 |
F_75_79 |
Female population age 75-79 | integer | 0% | 18 | 623, 876, 1328, 4243, 1287 |
F_80Plus |
F_80Plus | integer | 0% | 18 | 587, 795, 1300, 4002, 1206 |
M_00_04 |
Male population age 0-4 | integer | 0% | 18 | 10370, 10690, 17587, 34719, 17779 |
M_05_09 |
Male population age 5-9 | integer | 0% | 18 | 10280, 11380, 18585, 36727, 18287 |
M_10_14 |
Male population age 10-14 | integer | 0% | 18 | 9435, 11615, 18006, 39656, 18278 |
M_15_19 |
Male population age 15-19 | integer | 0% | 18 | 9023, 11183, 16335, 36483, 17589 |
M_20_24 |
Male population age 20-24 | integer | 0% | 18 | 8515, 10040, 15704, 38052, 16827 |
M_25_29 |
Male population age 25-29 | integer | 0% | 18 | 7426, 9072, 14827, 37354, 13955 |
M_30_34 |
Male population age 30-34 | integer | 0% | 18 | 6229, 8509, 13222, 33719, 9729 |
M_35_39 |
Male population age 35-39 | integer | 0% | 18 | 5962, 7935, 11392, 27358, 9733 |
M_40_44 |
Male population age 40-44 | integer | 0% | 18 | 5056, 6569, 10031, 23708, 9012 |
M_45_49 |
Male population age 45-49 | integer | 0% | 18 | 4242, 5238, 8133, 20858, 7331 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | LA1705, LA1702, LA1703, LA1704, LA1701 |
region_name |
Region name | string | SEL | 0% | 99 | Phouvong, Samakkhixay, Sanamxay, Sanxay, Xaysetha |
F_TL |
Female population | integer | SEL | 0% | 100 | 8710, 21182, 20703, 13952, 19598 |
M_TL |
Male population | integer | SEL | 0% | 100 | 9120, 22697, 21406, 13943, 20282 |
T_TL |
Total population | integer | SEL | 0% | 100 | 17830, 43879, 42109, 27895, 39880 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
year |
year | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
F_00_04 |
Female population age 0-4 | integer | 0% | 97 | 985, 2198, 2611, 1871, 1975 |
F_05_09 |
Female population age 5-9 | integer | 0% | 98 | 977, 2188, 2582, 1953, 1917 |
F_10_14 |
Female population age 10-14 | integer | 0% | 99 | 990, 1985, 2312, 1846, 1845 |
F_15_19 |
Female population age 15-19 | integer | 0% | 98 | 861, 1929, 2131, 1470, 1789 |
F_20_24 |
Female population age 20-24 | integer | 0% | 98 | 863, 2048, 2068, 1244, 1873 |
F_25_29 |
Female population age 25-29 | integer | 0% | 98 | 796, 1930, 1817, 1101, 1855 |
F_30_34 |
Female population age 30-34 | integer | 0% | 100 | 646, 1670, 1383, 881, 1575 |
F_35_39 |
Female population age 35-39 | integer | 0% | 97 | 606, 1610, 1260, 791, 1481 |
F_40_44 |
Female population age 40-44 | integer | 0% | 100 | 493, 1312, 1046, 637, 1214 |
F_45_49 |
Female population age 45-49 | integer | 0% | 95 | 408, 1107, 883, 542, 1007 |
F_50_54 |
Female population age 50-54 | integer | 0% | 97 | 311, 870, 702, 421, 807 |
F_55_59 |
Female population age 55-59 | integer | 0% | 95 | 260, 762, 624, 371, 727 |
F_60_64 |
Female population age 60-64 | integer | 0% | 97 | 188, 559, 451, 290, 533 |
F_65_69 |
Female population age 65-69 | integer | 0% | 96 | 135, 426, 339, 227, 410 |
F_70_74 |
Female population age 70-74 | integer | 0% | 88 | 84, 263, 209, 141, 263 |
F_75_79 |
Female population age 75-79 | integer | 0% | 88 | 54, 171, 137, 85, 176 |
F_80Plus |
F_80Plus | integer | 0% | 87 | 53, 154, 148, 81, 151 |
M_00_04 |
Male population age 0-4 | integer | 0% | 99 | 1058, 2363, 2810, 2006, 2133 |
M_05_09 |
Male population age 5-9 | integer | 0% | 100 | 1023, 2338, 2756, 2074, 2089 |
M_10_14 |
Male population age 10-14 | integer | 0% | 99 | 966, 2093, 2431, 1923, 2022 |
M_15_19 |
Male population age 15-19 | integer | 0% | 97 | 932, 2179, 2352, 1613, 1947 |
M_20_24 |
Male population age 20-24 | integer | 0% | 98 | 880, 2335, 2180, 1240, 1880 |
M_25_29 |
Male population age 25-29 | integer | 0% | 98 | 812, 2109, 1820, 980, 1705 |
M_30_34 |
Male population age 30-34 | integer | 0% | 99 | 680, 1828, 1372, 808, 1541 |
M_35_39 |
Male population age 35-39 | integer | 0% | 98 | 653, 1747, 1239, 760, 1563 |
M_40_44 |
Male population age 40-44 | integer | 0% | 97 | 568, 1432, 1064, 639, 1353 |
M_45_49 |
Male population age 45-49 | integer | 0% | 96 | 459, 1191, 920, 545, 1127 |
| +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 | LA, LA, LA, LA, LA |
population_count |
Population count | float | SEL | 2% | 65 | 2121514.0, 2169796.0, 2219910.0, 2271061.0, 2322826.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 41.036, 41.344, 42.272, 41.544, 41.859 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 38% | 41 | 483.017781668524, 632.801098281291, 461.911552367003,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 89% | 7 | 60.25, 69.5800018310547, 68.7300033569336,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 30% | 46 | 217.4, 211.4, 205.6, 200.0, 194.7 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 99% | 1 | 18.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Lao PDR, Lao PDR, Lao PDR, Lao PDR, Lao PDR |
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 | LA, LA, LA, LA, LA |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 41.036, 41.344, 42.272, 41.544, 41.859 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 36% | 42 | 53.9, 53.2, 52.4, 51.6, 50.9 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 30% | 46 | 217.4, 211.4, 205.6, 200.0, 194.7 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 994.0, 963.0, 930.0, 898.0, 856.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 60 | 6.292, 6.31, 6.313, 6.318, 6.313 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 44.85, 44.756, 44.584, 44.475, 44.346 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 22.425, 22.177, 21.5, 21.994, 21.752 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 65% | 23 | 0.02, 0.041, 0.066, 0.051, 0.729 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 59% | 21 | 0.472209453582764, 0.92739999294281, 2.5697999001, 1.16, 1.15 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 34 | 7.0, 7.0, 7.0, 5.0, 4.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.27513599, 4.29031658, 3.69751263, 4.47920704, 3.5405724 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Lao PDR, Lao PDR, Lao PDR, Lao PDR, Lao PDR |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | aheu1239, akeu1235, akha1245, alak1253, arem1240 |
name |
Name | string | CCL | 0% | 100 | Thavung, Akeu, Akha, Alak, Arem |
iso639_3 |
Iso639 3 | string | CCL | 5% | 95 | thm, aeu, ahk, alk, aem |
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, sino1245, sino1245, aust1305, aust1305 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 56 | chut1252, akeu1236, akha1246, west2399, chut1246 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 16 | ['LA', 'TH'], ['CN', 'LA', 'MM', 'TH'], ['CN', 'LA',... |
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% | 12 | 0, 0, 2, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 100 | 17.7655, 22.1959, 21.2309, 15.5565, 17.7672 |
longitude |
longitude | float | 0% | 100 | 104.229, 101.0823, 100.964, 106.597, 105.928 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | LAO |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Lao People's Democratic Repub* |
admin_code |
Admin code | string | SEL | 0% | 1 | 69401296B68581284463724 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 229734.3457 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 7952852 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 34.62 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LAO, LAO, LAO, LAO, LAO |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 18 | Savannakhet, Vientiane Capital, Champasak, Luang... |
admin_code |
Admin code | string | SEL | 0% | 18 | 31783359B41032705110141, 31783359B97264007138888,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 18 | 21368.5819, 3562.688, 14926.8723, 19997.1422, 12714.8487 |
pop_2024 |
Population count | integer | SEL | 0% | 18 | 1175379, 994650, 844462, 537351, 517520 |
pop_density_2024 |
Population density | float | SEL | 0% | 18 | 55.01, 279.19, 56.57, 26.87, 40.7 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LAO, LAO, LAO |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 3 | Vientiane, Pakse, Luang Prabang |
admin_code |
Admin code | integer | SEL | 0% | 3 | 342, 497, 174 |
area_sqkm |
Area sqkm | float | SEL | 0% | 3 | 75.5921, 34.7981, 17.9087 |
pop_2024 |
Population count | integer | SEL | 0% | 3 | 268835, 64659, 44456 |
pop_density_2024 |
Population density | float | SEL | 0% | 3 | 3556.39, 1858.12, 2482.37 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 3 | 166271, 98334, 64254 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 3 | 1.617, 0.658, 0.692 |
| 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 | 18.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 65.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .la |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 64.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
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 | 1.3 million (2021 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1.3 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 18 (2022 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 4.96 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 4.96 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 65 (2023 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 6 TV stations operating out of Vientiane, with half... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 6.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 64% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 183,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 183000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/la.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 | 8600.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 16.503 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 18.3 |
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
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, industrial Southeast Asian economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 2022.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $66.905 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 | 66.905 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $64.173 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 | 64.173 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $61.856 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 | 61.856 |
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 | 4.3% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.3 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3.7% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 2.7% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 2.7 |
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 | $8,600 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $8,400 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 8400.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $8,200 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 8200.0 |
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 | $16.503 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 23.1% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 23.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 31.2% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 31.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 23% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 23.0 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +122 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
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 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 12.738 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 12.738 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 12.803 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 12.803 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 38 billion kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 38.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 955.095 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 955.095 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 2.447 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 2.447 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 23.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 23.3 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.2 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 76.5% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 76.5 |
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 | 16.629 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 16.629 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 15.944 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 15.944 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 1.065 million metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 1.065 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 22,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 22000.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 62 million metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 62.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 25,000 bbl/day (2023 est.) |
| +5 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 | 9.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 56.8 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 38.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.99 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 351900.0 |
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
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 | unexploded ordnance; deforestation; soil erosion; loss... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | tropical monsoon; rainy season (May to November); dry... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 9.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 2.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 2.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 56.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 33.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 33.3 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 38.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.99% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 23.412 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 23.412 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 19.652 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 | 19.652 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 3.76 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 | 3.76 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 20.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 20.5 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 351,900 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 | 15.1% (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 | 15.1 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 130 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 130.0 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 170 million cubic meters (2022 est.) |
| +7 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 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
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 | Lao(s) or Laotian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Lao or Laotian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Lao 53.2%, Khmou 11%, Hmong 9.2%, Phouthay 3.4%, Tai... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 53.2 |
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/la.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 236800.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 230800.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 6000.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 5274.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2817.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 70.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 9.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 56.8 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 4410.0 |
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
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, northeast of Thailand, west of Vietnam |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 18 00 N, 105 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 18.0 |
map_references_text |
map_references_text | string | 0% | 1 | Southeast Asia |
area_total_text |
area_total_text | string | 0% | 1 | 236,800 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 230,800 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 6,000 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | about twice the size of Pennsylvania; slightly larger than Utah |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 5,274 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Burma 238 km; Cambodia 555 km; China 475 km; Thailand... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 238.0 |
coastline_text |
coastline_text | string | 0% | 1 | 0 km (landlocked) |
maritime_claims_text |
maritime_claims_text | string | 0% | 1 | none (landlocked) |
climate_text |
climate_text | string | 0% | 1 | tropical monsoon; rainy season (May to November); dry... |
terrain_text |
terrain_text | string | 0% | 1 | mostly rugged mountains; some plains and plateaus |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Phu Bia 2,817 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Mekong River 70 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 710 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 710.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | timber, hydropower, gypsum, tin, gold, gemstones |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 9.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 5.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 5.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 2.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 2.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 56.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 33.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 33.3 |
| +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 | LAO |
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 | Lao People's Democratic Republic |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Laos |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Sathalanalat Paxathipatai Paxaxon Lao |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Mueang Lao (unofficial) |
country_name_abbreviation_text |
country_name_abbreviation_text | string | 0% | 1 | Lao PDR |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name means "Land of the Lao [people];" it derives from... |
government_type_text |
government_type_text | string | 0% | 1 | communist party-led state |
capital_name_text |
capital_name_text | string | 0% | 1 | Vientiane (Viangchan) |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 17 58 N, 102 36 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 17.0 |
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 Viangchan means "city of sandalwood" in... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 17 provinces (khoueng, singular and plural) and 1... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 17.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system similar in form to the French system |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1947 (pre-independence); latest promulgated... |
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 National Assembly; passage requires at... |
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 Laos |
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 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
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 | President THONGLOUN Sisoulith (since 22 March 2021) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 22.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister SONEXAY (also spelled SONXAI) Siphandon... |
| +71 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 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Modern-day Laos has its roots in the ancient Lao kingdom... |
background_numeric |
background_numeric | float | 0% | 1 | 14.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/la.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Lao (official), French, English, various ethnic languages |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | ແຫລ່ງທີ່ຂາດບໍ່ໄດ້ສຳລັບຂໍ້ມູນຕົ້ນຕໍ່” (Lao)The World... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/la.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 1,274 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 1274.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 3 — Laos does not fully meet the minimum standards... |
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/la.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
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 | Lao People's Armed Forces (LPAF; aka Lao People's Army):... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 0.2% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 0.2 |
military_expenditures_military_expenditures_2018_text |
Military expenditures 2018 (text) | string | 0% | 1 | 0.2% of GDP (2018 est.) |
military_expenditures_military_expenditures_2018_numeric |
Military expenditures 2018 (numeric) | float | 0% | 1 | 0.2 |
military_expenditures_military_expenditures_2017_text |
Military expenditures 2017 (text) | string | 0% | 1 | 0.2% of GDP (2017 est.) |
military_expenditures_military_expenditures_2017_numeric |
Military expenditures 2017 (numeric) | float | 0% | 1 | 0.2 |
military_expenditures_military_expenditures_2016_text |
Military expenditures 2016 (text) | string | 0% | 1 | 0.2% of GDP (2016 est.) |
military_expenditures_military_expenditures_2016_numeric |
Military expenditures 2016 (numeric) | float | 0% | 1 | 0.2 |
military_expenditures_military_expenditures_2015_text |
Military expenditures 2015 (text) | string | 0% | 1 | 0.2% of GDP (2015 est.) |
military_expenditures_military_expenditures_2015_numeric |
Military expenditures 2015 (numeric) | float | 0% | 1 | 0.2 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | information limited and varied; estimated 30,000 active... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 30000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the LPAF is armed with Chinese, Russian, and Soviet-era... |
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 years of age 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 LPAF’s primary missions are border and internal... |
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/la.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 7953556.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 3966320.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 3987236.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 30.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 65.0 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 4.8 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 53.7 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 46.3 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 7.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 25.8 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.22 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 19.22 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.07 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.93 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 38.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.99 |
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 | 1.0 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 112.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 34.2 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 69.0 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.19 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.07 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.33 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.3 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 75.6 |
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
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 | 7,953,556 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 3,966,320 |
population_female_text |
population_female_text | string | 0% | 1 | 3,987,236 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 30.1% (male 1,214,429/female 1,181,845) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 65% (male 2,573,668/female 2,599,957) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 4.8% (2024 est.) (male 178,223/female 205,434) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 53.7 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 46.3 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 7.4 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 13.5 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 13.5 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 25.8 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 25 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 25.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 25.7 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 25.7 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.22% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 19.22 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.07 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.93 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most densely populated area is in and around the capital... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 38.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.99% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 721,000 VIENTIANE (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 721000.0 |
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 | 1.03 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.03 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.99 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.99 |
| +91 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 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_buddhist_pct_synth |
Buddhist | numeric | CCL | 0% | - | 64.7 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 1.7 |
composition_ethnicity_primary_label_synth |
Lao | string | CCL | 0% | - | Lao |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Buddhist 64.7%, Christian 1.7%, none 31.4%, other/not... |
religions_numeric |
religions_numeric | float | 0% | 1 | 64.7 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/la.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_none_pct_synth |
none | numeric | 0% | - | 31.4 |
composition_religion_other_not_stated_pct_synth |
other/not stated | numeric | 0% | - | 2.1 |
composition_ethnicity_lao_pct_synth |
Lao | numeric | 0% | - | 53.2 |
composition_ethnicity_khmou_pct_synth |
Khmou | numeric | 0% | - | 11.0 |
composition_ethnicity_hmong_pct_synth |
Hmong | numeric | 0% | - | 9.2 |
composition_ethnicity_phouthay_pct_synth |
Phouthay | numeric | 0% | - | 3.4 |
composition_ethnicity_tai_pct_synth |
Tai | numeric | 0% | - | 3.1 |
composition_ethnicity_makong_pct_synth |
Makong | numeric | 0% | - | 2.5 |
composition_ethnicity_katong_pct_synth |
Katong | numeric | 0% | - | 2.2 |
composition_ethnicity_lue_pct_synth |
Lue | numeric | 0% | - | 2.0 |
composition_ethnicity_akha_pct_synth |
Akha | numeric | 0% | - | 1.8 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 11.6 |
composition_ethnicity_primary_share_pct_synth |
Lao | numeric | 0% | - | 53.2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
illicit_drugs_usg_identification_text |
illicit_drugs_usg_identification_text | string | 0% | 1 | major illicit drug-producing and/or drug-transit country (2025) |
illicit_drugs_usg_identification_numeric |
illicit_drugs_usg_identification_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/la.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | RDPL |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 20.0 |
country_code |
Country code | string | SEL | 0% | 1 | LAO |
country_name |
Country name | string | SEL | 0% | 1 | Laos |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 20 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 422 km (2023) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 422.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 422 km (2023) 1.435-m gauge (422 km overhead electrification) |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 422.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 1 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 1.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 1 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/la.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | LAO, LAO, LAO, LAO, LAO |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 6 | Lao (incl. Phuan), Lao Thoeng (excl. Khmou), Lao Tai,... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 4 | SENIOR PARTNER, JUNIOR PARTNER, JUNIOR PARTNER, JUNIOR... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 5 | 0.55, 0.12, 0.12, 0.11, 0.08 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 6 | 81203000, 81205000, 81209000, 81202000, 81201000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | LAO, LAO, LAO, LAO, LAO |
gns_language_code |
gns_language_code | string | CCL | 0% | 5 | lao, tha, khm, eng, vie |
gns_language_name |
gns_language_name | string | CCL | 0% | 5 | Lao, Thai, Khmer, English, Vietnamese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 5 | 22783, 129, 33, 13, 12 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 5 | 99.1859, 0.5616, 0.1437, 0.0566, 0.0522 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 0, 63, 10, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | , Thai, Khmr, , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | , Thai, Khmer, , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 0, 1, 1, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | LAO |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Laos |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 5 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.965 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 73 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 37119 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 25123 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 37106 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 13 |
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_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 141 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 121 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 22850 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 15025 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 8342 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 6155 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 5249 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3494 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 105 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 75 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 81 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 67 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 349 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 185 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 2 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 3 | Vientiane, Pakse, Luang Prabang |
country_code |
Country code | string | SEL | 0% | 1 | LAO, LAO, LAO |
population |
Population count | integer | SEL | 0% | 3 | 166271, 98334, 64254 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 3 | 342, 497, 174 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Laos, Laos, Laos |
population_year |
population_year | integer | 0% | 1 | 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 | LAO |
society_id |
Society id | string | CCL | 0% | 1 | Ej1 |
society_name |
Society name | string | CCL | 0% | 1 | Lamet |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | lame1256 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:1; EA002:2; EA003:0; EA004:2; EA005:5 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:1; EA007:2; EA008:2; EA009:2; EA010:9 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:3; EA029:6; EA030:7; EA031:2; EA032:3 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:1; EA034:1; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:1; EA112:5 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:1; EA012:8; EA013:2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Laos |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 20.0 |
longitude |
longitude | float | 0% | 1 | 101.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | LAO |
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 | 160 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 3.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 3.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 79 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 5.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 4.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 114 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 4.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 4 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 178 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 2.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 2.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 43 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 5.9 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 5.38 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 35 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.33 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 5.65 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 34 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 6.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 6 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 39 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 6.12 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 5.51 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 60 |
| +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 |
|---|---|---|---|
| Lao (lao) | 22,783 | 99.2% | — |
| Thai (tha) | 129 | 0.6% | Thai |
| Khmer (khm) | 33 | 0.1% | Khmer |
| English (eng) | 13 | 0.1% | — |
| Vietnamese (vie) | 12 | 0.1% | — |
25,123 distinct features ·
5 languages ·
2 scripts ·
73 names in non-Roman script ·
13 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 |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Ethnic Power Relations Dataset | academic | bulk_download |
| 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 |
| 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.