| 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_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 | 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_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 | 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 |
|---|---|---|---|
| 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.