Vietnam
VNM
Ha Long Bay · Photo: Jakub Hałun /
CC BY 4.0
via Wikimedia Commons
225,120
Records
26
Datasets
49
Tables
12
Sources
157
SEL Fields
54
CCL Fields
📋
Most recent national census: 2019.
Included in HERA.
Loading overview…
Datasets (26)
SEL — DGIWG Statistical Extent Location
SEL+ — Platform extension (not in DGIWG core spec)
CCL — DGIWG Cultural Context Location
Extension — Preserved in extension tables (not in core SEL/CCL schema)
Pending — Awaiting mapping
3 further sources (GI-TOC / ENACT, Global Data Lab, World Values Survey) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
VNM Viet Nam - Economic, Social, Environmental, Health
VNM-HDX-Viet_Nam_-_Economic,_Social,_Enviro
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Viet Nam - Economic, Social, Environmental, Health
— 71,236 rows, 3,455 columns
Loading data…
Field details — 3456 fields (type, nulls, unique, samples)
Extension Fields (3456)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Fertilizer_consumption_pct_of_fertilizer_production |
Fertilizer_consumption_pct_of_fertilizer_production | float | 0% | 1 | 120.86807101245 |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land | float | 0% | 1 | 419.949527976601 |
Agricultural_land_sq._km |
Agricultural_land_sq._km | float | 0% | 1 | 122910.36 |
Agricultural_land_pct_of_land_area |
Agricultural_land_pct_of_land_area | float | 0% | 1 | 39.2147376279795 |
Arable_land_hectares |
Arable_land_hectares | float | 0% | 1 | 6728480.0 |
Arable_land_hectares_per_person |
Arable_land_hectares_per_person | float | 0% | 1 | 0.0670486599834312 |
Arable_land_pct_of_land_area |
Arable_land_pct_of_land_area | float | 0% | 1 | 21.4673179571769 |
Land_under_cereal_production_hectares |
Land_under_cereal_production_hectares | float | 0% | 1 | 7995586.0 |
Permanent_cropland_pct_of_land_area |
Permanent_cropland_pct_of_land_area | float | 0% | 1 | 15.6991088890945 |
Rural_land_area_where_elevation_is_below_5_meters_sq._km |
Rural_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 39976.2447862 |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 12.2535530187901 |
Forest_area_sq._km |
Forest_area_sq._km | float | 0% | 1 | 148707.9 |
Forest_area_pct_of_land_area |
Forest_area_pct_of_land_area | float | 0% | 1 | 47.4454820708996 |
Average_precipitation_in_depth_mm_per_year |
Average_precipitation_in_depth_mm_per_year | float | 0% | 1 | 1821.0 |
Land_area_sq._km |
Land_area_sq._km | float | 0% | 1 | 313429.0 |
Rural_land_area_sq._km |
Rural_land_area_sq._km | float | 0% | 1 | 297626.66205644 |
Cereal_production_metric_tons |
Cereal_production_metric_tons | float | 0% | 1 | 47935652.71 |
Crop_production_index_2014-2016_=_100 |
Crop_production_index_2014-2016_=_100 | float | 0% | 1 | 109.55 |
Food_production_index_2014-2016_=_100 |
Food_production_index_2014-2016_=_100 | float | 0% | 1 | 113.65 |
Livestock_production_index_2014-2016_=_100 |
Livestock_production_index_2014-2016_=_100 | float | 0% | 1 | 135.42 |
Surface_area_sq._km |
Surface_area_sq._km | float | 0% | 1 | 331338.31 |
Cereal_yield_kg_per_hectare |
Cereal_yield_kg_per_hectare | float | 0% | 1 | 5995.3 |
Access_to_electricity_rural_pct_of_rural_population |
Access_to_electricity_rural_pct_of_rural_population | float | 0% | 1 | 99.8 |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 7.16501567181057 |
Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal |
Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal | float | 0% | 1 | 94.78239668 |
Agriculture_forestry_and_fishing_value_added_current_USusd |
Agriculture_forestry_and_fishing_value_added_current_USusd | float | 0% | 1 | 56516273390.5477 |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP |
Agriculture_forestry_and_fishing_value_added_pct_of_GDP | float | 0% | 1 | 11.8634906983546 |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate |
Employment_in_agriculture_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 24.4189150595926 |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate |
Employment_in_agriculture_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 25.6410189412582 |
| +3426 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM Vietnam - Economic, Social, Environmental, Health,
VNM-HDX-Vietnam_-_Economic,_Social,_Environ
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Vietnam - Economic, Social, Environmental, Health,
— 67,966 rows, 3,587 columns
Loading data…
Field details — 3588 fields (type, nulls, unique, samples)
Extension Fields (3588)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Agricultural_machinery_tractors |
Agricultural_machinery_tractors | float | 0% | 1 | 162746.0 |
Fertilizer_consumption_pct_of_fertilizer_production |
Fertilizer_consumption_pct_of_fertilizer_production | float | 0% | 1 | 180.213514511689 |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land |
Fertilizer_consumption_kilograms_per_hectare_of_arable_land | float | 0% | 1 | 427.590601149256 |
Agricultural_land_sq._km |
Agricultural_land_sq._km | float | 0% | 1 | 123600.0 |
Agricultural_land_pct_of_land_area |
Agricultural_land_pct_of_land_area | float | 0% | 1 | 39.4347683207361 |
Arable_land_hectares |
Arable_land_hectares | float | 0% | 1 | 6787000.0 |
Arable_land_hectares_per_person |
Arable_land_hectares_per_person | float | 0% | 1 | 0.0696330896359872 |
Arable_land_pct_of_land_area |
Arable_land_pct_of_land_area | float | 0% | 1 | 21.6540269088055 |
Land_under_cereal_production_hectares |
Land_under_cereal_production_hectares | float | 0% | 1 | 8121766.0 |
Permanent_cropland_pct_of_land_area |
Permanent_cropland_pct_of_land_area | float | 0% | 1 | 15.7324306302225 |
Rural_land_area_where_elevation_is_below_5_meters_sq._km |
Rural_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 39976.2447862 |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Rural_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 12.2535530187901 |
Forest_area_sq._km |
Forest_area_sq._km | float | 0% | 1 | 147189.9 |
Forest_area_pct_of_land_area |
Forest_area_pct_of_land_area | float | 0% | 1 | 46.9611618580284 |
Average_precipitation_in_depth_mm_per_year |
Average_precipitation_in_depth_mm_per_year | float | 0% | 1 | 1821.0 |
Land_area_sq._km |
Land_area_sq._km | float | 0% | 1 | 313429.0 |
Rural_land_area_sq._km |
Rural_land_area_sq._km | float | 0% | 1 | 297626.66205644 |
Agricultural_machinery_tractors_per_100_sq._km_of_arable_land |
Agricultural_machinery_tractors_per_100_sq._km_of_arable_land | float | 0% | 1 | 262.493548387097 |
Cereal_production_metric_tons |
Cereal_production_metric_tons | float | 0% | 1 | 48301218.49 |
Crop_production_index_2014-2016_=_100 |
Crop_production_index_2014-2016_=_100 | float | 0% | 1 | 109.31 |
Food_production_index_2014-2016_=_100 |
Food_production_index_2014-2016_=_100 | float | 0% | 1 | 111.65 |
Livestock_production_index_2014-2016_=_100 |
Livestock_production_index_2014-2016_=_100 | float | 0% | 1 | 129.29 |
Surface_area_sq._km |
Surface_area_sq._km | float | 0% | 1 | 331340.0 |
Cereal_yield_kg_per_hectare |
Cereal_yield_kg_per_hectare | float | 0% | 1 | 5947.1 |
Access_to_electricity_rural_pct_of_rural_population |
Access_to_electricity_rural_pct_of_rural_population | float | 0% | 1 | 100.0 |
Agricultural_methane_emissions_thousand_metric_tons_of_CO2_equivalent |
Agricultural_methane_emissions_thousand_metric_tons_of_CO2_equivalent | float | 0% | 1 | 47620.905 |
Agricultural_methane_emissions_pct_of_total |
Agricultural_methane_emissions_pct_of_total | float | 0% | 1 | 60.2889401481122 |
Agricultural_nitrous_oxide_emissions_thousand_metric_tons_of_CO2_equivalent |
Agricultural_nitrous_oxide_emissions_thousand_metric_tons_of_CO2_equivalent | float | 0% | 1 | 22649.5496 |
Agricultural_nitrous_oxide_emissions_pct_of_total |
Agricultural_nitrous_oxide_emissions_pct_of_total | float | 0% | 1 | 87.2980501392758 |
| +3558 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM Viet Nam - Health Indicators
VNM-HDX-Viet_Nam_-_Health_Indicators
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Viet Nam - Health Indicators
— 26,524 rows, 17 columns
Loading data…
Field details — 17 fields (type, nulls, unique, samples)
Extension Fields (17)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
GHO (CODE) |
GHO (CODE) | string | 0% | 57 | GHED_OOP_pc_US_SHA2011, PHE_HHAIR_POP_CATEGORY_FUELS,... |
GHO (DISPLAY) |
GHO (DISPLAY) | string | 0% | 57 | Out-of-pocket expenditure (OOP) per capita in US$,... |
GHO (URL) |
GHO (URL) | string | 0% | 56 | https://www.who.int/data/gho/data/indicators/indicator-de... |
YEAR (DISPLAY) |
YEAR (DISPLAY) | string | 0% | 29 | 2008, 1990, 2000, 2010, 2017 |
STARTYEAR |
STARTYEAR | string | 0% | 29 | 2008, 1990, 2000, 2010, 2017 |
ENDYEAR |
ENDYEAR | string | 0% | 29 | 2008, 1990, 2000, 2010, 2017 |
REGION (CODE) |
REGION (CODE) | string | 0% | 1 | WPR, WPR, WPR, WPR, WPR |
REGION (DISPLAY) |
REGION (DISPLAY) | string | 0% | 1 | Western Pacific, Western Pacific, Western Pacific,... |
COUNTRY (CODE) |
COUNTRY (CODE) | string | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
COUNTRY (DISPLAY) |
COUNTRY (DISPLAY) | string | 0% | 1 | Viet Nam, Viet Nam, Viet Nam, Viet Nam, Viet Nam |
DIMENSION (TYPE) |
DIMENSION (TYPE) | string | 8% | 8 | RESIDENCEAREATYPE, SEX, AGEGROUP, NCDCCS_SECTION, SEX |
DIMENSION (CODE) |
DIMENSION (CODE) | string | 8% | 25 | RESIDENCEAREATYPE_TOTL, SEX_MLE, AGEGROUP_YEARSALL,... |
DIMENSION (NAME) |
DIMENSION (NAME) | string | 8% | 24 | Total, Male, Total (All ages), Archived indicators, Female |
Numeric |
Numeric | string | 6% | 93 | 22.27871697, 56.464923824, 1.6, 54.6, 1.9 |
Value |
Value | string | 1% | 95 | 22.28, 56.46 [46.64 - 62.17], 1.6 [0.5-5.2], 54.6... |
Low |
Low | float | 27% | 65 | 46.63760341, 0.5, 51.0, 1.6, 0.4 |
High |
High | float | 27% | 72 | 62.165457462, 5.2, 58.1, 2.4, 0.5 |
VNM Viet Nam - Education
VNM-HDX-Viet_Nam_-_Education
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Viet Nam - Education
— 13,802 rows, 824 columns
Loading data…
Field details — 825 fields (type, nulls, unique, samples)
Extension Fields (825)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education | float | 0% | 1 | 57.77 |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education | float | 0% | 1 | 55.09 |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education | float | 0% | 1 | 16.84 |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education | float | 0% | 1 | 15.2 |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education | float | 0% | 1 | 13.31 |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education | float | 0% | 1 | 12.72 |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education | float | 0% | 1 | 13.12 |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education | float | 0% | 1 | 12.64 |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education | float | 0% | 1 | 10.21 |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education | float | 0% | 1 | 8.16 |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education | float | 0% | 1 | 6.56 |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education | float | 0% | 1 | 5.86 |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education | float | 0% | 1 | 6.56 |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education | float | 0% | 1 | 5.86 |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education | float | 0% | 1 | 5.54 |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education | float | 0% | 1 | 4.65 |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education | float | 0% | 1 | 5.54 |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education | float | 0% | 1 | 4.65 |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education | float | 0% | 1 | 14.89 |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education | float | 0% | 1 | 10.42 |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education | float | 0% | 1 | 14.89 |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education | float | 0% | 1 | 10.42 |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education | float | 0% | 1 | 14.89 |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education | float | 0% | 1 | 10.42 |
Barro-Lee:_Population_in_thousands_age_15-19_total |
Barro-Lee:_Population_in_thousands_age_15-19_total | float | 0% | 1 | 9114.0 |
Barro-Lee:_Population_in_thousands_age_15-19_female |
Barro-Lee:_Population_in_thousands_age_15-19_female | float | 0% | 1 | 4487.0 |
Barro-Lee:_Population_in_thousands_age_15+_total |
Barro-Lee:_Population_in_thousands_age_15+_total | float | 0% | 1 | 66119.0 |
Barro-Lee:_Population_in_thousands_age_15+_female |
Barro-Lee:_Population_in_thousands_age_15+_female | float | 0% | 1 | 33325.0 |
Barro-Lee:_Population_in_thousands_age_20-24_total |
Barro-Lee:_Population_in_thousands_age_20-24_total | float | 0% | 1 | 9127.0 |
| +795 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM Vietnam - Education
VNM-HDX-Vietnam_-_Education
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Vietnam - Education
— 12,799 rows, 810 columns
Loading data…
Field details — 811 fields (type, nulls, unique, samples)
Extension Fields (811)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15-19_with_no_education | float | 0% | 1 | 57.77 |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education |
Barro-Lee:_Percentage_of_population_age_15-19_with_no_education | float | 0% | 1 | 55.09 |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_15+_with_no_education | float | 0% | 1 | 16.84 |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education |
Barro-Lee:_Percentage_of_population_age_15+_with_no_education | float | 0% | 1 | 15.2 |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_20-24_with_no_education | float | 0% | 1 | 13.31 |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education |
Barro-Lee:_Percentage_of_population_age_20-24_with_no_education | float | 0% | 1 | 12.72 |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25-29_with_no_education | float | 0% | 1 | 13.12 |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education |
Barro-Lee:_Percentage_of_population_age_25-29_with_no_education | float | 0% | 1 | 12.64 |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_25+_with_no_education | float | 0% | 1 | 10.21 |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education |
Barro-Lee:_Percentage_of_population_age_25+_with_no_education | float | 0% | 1 | 8.16 |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_30-34_with_no_education | float | 0% | 1 | 6.56 |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education |
Barro-Lee:_Percentage_of_population_age_30-34_with_no_education | float | 0% | 1 | 5.86 |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_35-39_with_no_education | float | 0% | 1 | 6.56 |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education |
Barro-Lee:_Percentage_of_population_age_35-39_with_no_education | float | 0% | 1 | 5.86 |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education | float | 0% | 1 | 5.54 |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education |
Barro-Lee:_Percentage_of_population_age_40-44_with_no_education | float | 0% | 1 | 4.65 |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_45-49_with_no_education | float | 0% | 1 | 5.54 |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education |
Barro-Lee:_Percentage_of_population_age_45-49_with_no_education | float | 0% | 1 | 4.65 |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_50-54_with_no_education | float | 0% | 1 | 14.89 |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education |
Barro-Lee:_Percentage_of_population_age_50-54_with_no_education | float | 0% | 1 | 10.42 |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_55-59_with_no_education | float | 0% | 1 | 14.89 |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education |
Barro-Lee:_Percentage_of_population_age_55-59_with_no_education | float | 0% | 1 | 10.42 |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_female_population_age_60-64_with_no_education | float | 0% | 1 | 14.89 |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education |
Barro-Lee:_Percentage_of_population_age_60-64_with_no_education | float | 0% | 1 | 10.42 |
Barro-Lee:_Population_in_thousands_age_15-19_total |
Barro-Lee:_Population_in_thousands_age_15-19_total | float | 0% | 1 | 9114.0 |
Barro-Lee:_Population_in_thousands_age_15-19_female |
Barro-Lee:_Population_in_thousands_age_15-19_female | float | 0% | 1 | 4487.0 |
Barro-Lee:_Population_in_thousands_age_15+_total |
Barro-Lee:_Population_in_thousands_age_15+_total | float | 0% | 1 | 66119.0 |
Barro-Lee:_Population_in_thousands_age_15+_female |
Barro-Lee:_Population_in_thousands_age_15+_female | float | 0% | 1 | 33325.0 |
Barro-Lee:_Population_in_thousands_age_20-24_total |
Barro-Lee:_Population_in_thousands_age_20-24_total | float | 0% | 1 | 9127.0 |
| +781 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM NGA GEOnet Names Server (GNS)
VNM-NGA_GNS
Language
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 3 table(s)
VNM NGA GNS - Language
— 7 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (9)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
gns_language_code |
gns_language_code | string | CCL | 0% | 7 | vie, lao, khm, eng, fra |
gns_language_name |
gns_language_name | string | CCL | 0% | 7 | Vietnamese, Lao, Khmer, English, French |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 7 | 40508, 106, 43, 18, 16 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 7 | 99.5234, 0.2604, 0.1056, 0.0442, 0.0393 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 0, 0, 5, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | , , Khmr, , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | , , Khmer, , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 0, 0, 1, 0, 0 |
VNM NGA GNS - Summary
— 1 rows, 31 columns
Loading data…
Field details — 31 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | VNM |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Vietnam |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 7 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9828 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 10 |
Extension Fields (24)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 87077 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 66032 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 87062 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 15 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Thu, 24 Sep 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-09-24 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 7275 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 5400 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 56348 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 41926 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 9203 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 5934 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 12863 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 11690 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 33 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 16 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 428 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 355 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 910 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 699 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 13 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 9 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 4 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 3 |
VNM NGA GNS - Admin Crosswalk
— 11,578 rows, 12 columns
Loading data…
Field details — 12 fields (type, nulls, unique, samples)
Standards-Aligned Fields (1)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
Extension Fields (11)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_ufi |
gns_ufi | integer | 0% | 100 | -3701657, 409626, -3709931, 411239, -3714935 |
admin_designation |
admin_designation | string | 0% | 2 | ADM1, ADM1, ADM1, ADM1, ADM1 |
gns_bgn_name |
gns_bgn_name | string | 0% | 90 | An Giang, Bắc Ninh, Cao Bằng, Cà Mau, Cần Thơ |
gns_local_name |
gns_local_name | string | 100% | - | - |
iso_3166_2 |
iso_3166_2 | string | 0% | 54 | VN-44, VN-56, VN-04, VN-59, VN-CT |
parent_code |
parent_code | string | 0% | 44 | VNM, VNM, VNM, VNM, VNM |
gns_prominence_band |
gns_prominence_band | integer | 0% | 4 | 9, 9, 9, 9, 9 |
latitude |
latitude | float | 0% | 96 | 10.25, 21.25, 22.75, 9.25, 9.75 |
longitude |
longitude | float | 0% | 89 | 105.0, 106.5, 106.083333, 105.25, 105.75 |
gns_mgrs |
gns_mgrs | string | 0% | 100 | 48PWS0000033054, 48QXJ5564550555, 48QXL1123016252,... |
name_variant_count |
name_variant_count | integer | 0% | 6 | 2, 2, 2, 2, 3 |
VNM Vietnam - Social Protection and Labor
VNM-HDX-Vietnam_-_Social_Protection_and_Lab
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Vietnam - Social Protection And Labor
— 7,263 rows, 1,324 columns
Loading data…
Field details — 1325 fields (type, nulls, unique, samples)
Extension Fields (1325)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Adequacy_of_benefits_in_extreme_poor_<usd1.9_a_day_pct_-All_Social_Protection_an |
Adequacy_of_benefits_in_extreme_poor_<usd1.9_a_day_pct_-All_Social_Protection_an | float | 0% | 1 | 10.0917587280273 |
Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_preT |
Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_preT | float | 0% | 1 | 22.5241928100586 |
Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-rural |
Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-rural | float | 0% | 1 | 19.4530048370361 |
Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-urban |
Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-urban | float | 0% | 1 | 24.5517749786377 |
Adequacy_of_benefits_in_1st_quintile_poorest_pct_-All_Social_Protection_and_Labo |
Adequacy_of_benefits_in_1st_quintile_poorest_pct_-All_Social_Protection_and_Labo | float | 0% | 1 | 22.4574909210205 |
Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_preT |
Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_preT | float | 0% | 1 | 21.6561965942383 |
Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_-rural |
Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_-rural | float | 0% | 1 | 11.1689357757568 |
Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor |
Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor | float | 0% | 1 | 16.4558124542236 |
Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_-urban |
Adequacy_of_benefits_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_-urban | float | 0% | 1 | 40.3992652893066 |
Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_preT |
Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_preT | float | 0% | 1 | 28.7757453918457 |
Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_-rural |
Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_-rural | float | 0% | 1 | 18.2870635986328 |
Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor |
Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor | float | 0% | 1 | 29.3785877227783 |
Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_-urban |
Adequacy_of_benefits_in_3rd_quintile_pct_-All_Social_Protection_and_Labor_-urban | float | 0% | 1 | 34.5473747253418 |
Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_preT |
Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_preT | float | 0% | 1 | 28.9842491149902 |
Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_-rural |
Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_-rural | float | 0% | 1 | 31.7198963165283 |
Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor |
Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor | float | 0% | 1 | 34.5025062561035 |
Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_-urban |
Adequacy_of_benefits_in_4th_quintile_pct_-All_Social_Protection_and_Labor_-urban | float | 0% | 1 | 27.7239818572998 |
Adequacy_of_benefits_in_5th_quintile_richest_pct_-All_Social_Protection_and_Labo |
Adequacy_of_benefits_in_5th_quintile_richest_pct_-All_Social_Protection_and_Labo | float | 0% | 1 | 19.6571216583252 |
Average_per_capita_transfer_held_by_extreme_poor_<usd1.9_a_day_-All_Social_Prote |
Average_per_capita_transfer_held_by_extreme_poor_<usd1.9_a_day_-All_Social_Prote | float | 0% | 1 | 0.137718304991722 |
Average_per_capita_transfer_-All_Social_Protection_and_Labor_preT |
Average_per_capita_transfer_-All_Social_Protection_and_Labor_preT | float | 0% | 1 | 1.38831448554993 |
Average_per_capita_transfer_-All_Social_Protection_and_Labor_-rural |
Average_per_capita_transfer_-All_Social_Protection_and_Labor_-rural | float | 0% | 1 | 0.701125919818878 |
Average_per_capita_transfer_-All_Social_Protection_and_Labor |
Average_per_capita_transfer_-All_Social_Protection_and_Labor | float | 0% | 1 | 1.38831448554993 |
Average_per_capita_transfer_-All_Social_Protection_and_Labor_-urban |
Average_per_capita_transfer_-All_Social_Protection_and_Labor_-urban | float | 0% | 1 | 2.84894227981567 |
Average_per_capita_transfer_held_by_1st_quintile_poorest_-All_Social_Protection_ |
Average_per_capita_transfer_held_by_1st_quintile_poorest_-All_Social_Protection_ | float | 0% | 1 | 0.676380336284637 |
Average_per_capita_transfer_held_by_2nd_quintile_-All_Social_Protection_and_Labo |
Average_per_capita_transfer_held_by_2nd_quintile_-All_Social_Protection_and_Labo | float | 0% | 1 | 1.98640298843384 |
Average_per_capita_transfer_held_by_3rd_quintile_-All_Social_Protection_and_Labo |
Average_per_capita_transfer_held_by_3rd_quintile_-All_Social_Protection_and_Labo | float | 0% | 1 | 2.42748498916626 |
Average_per_capita_transfer_held_by_4th_quintile_-All_Social_Protection_and_Labo |
Average_per_capita_transfer_held_by_4th_quintile_-All_Social_Protection_and_Labo | float | 0% | 1 | 2.99228882789612 |
Average_per_capita_transfer_held_by_5th_quintile_richest_-All_Social_Protection_ |
Average_per_capita_transfer_held_by_5th_quintile_richest_-All_Social_Protection_ | float | 0% | 1 | 4.93479585647583 |
Benefits_incidence_in_extreme_poor_<usd1.9_a_day_pct_-All_Social_Protection_and_ |
Benefits_incidence_in_extreme_poor_<usd1.9_a_day_pct_-All_Social_Protection_and_ | float | 0% | 1 | 0.459832638502121 |
| +1295 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM Vietnam - Gender
VNM-HDX-Vietnam_-_Gender
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Vietnam - Gender
— 5,710 rows, 232 columns
Loading data…
Field details — 233 fields (type, nulls, unique, samples)
Extension Fields (233)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Firms_with_female_top_manager_pct_of_firms |
Firms_with_female_top_manager_pct_of_firms | float | 0% | 1 | 22.4 |
Firms_with_female_participation_in_ownership_pct_of_firms |
Firms_with_female_participation_in_ownership_pct_of_firms | float | 0% | 1 | 51.1 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 | float | 0% | 1 | 98.5376663208008 |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI | float | 0% | 1 | 0.998269975185394 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 | float | 0% | 1 | 98.7086181640625 |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above | float | 0% | 1 | 94.5656585693359 |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above | float | 0% | 1 | 96.9906997680664 |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.01944005489349 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.939800024032593 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.910570025444031 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.11219000816345 |
School_enrollment_preprimary_female_pct_gross |
School_enrollment_preprimary_female_pct_gross | float | 0% | 1 | 93.8917236328125 |
School_enrollment_preprimary_male_pct_gross |
School_enrollment_preprimary_male_pct_gross | float | 0% | 1 | 91.1513900756836 |
Primary_completion_rate_female_pct_of_relevant_age_group |
Primary_completion_rate_female_pct_of_relevant_age_group | float | 0% | 1 | 111.549438476563 |
Primary_completion_rate_male_pct_of_relevant_age_group |
Primary_completion_rate_male_pct_of_relevant_age_group | float | 0% | 1 | 108.637367248535 |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc | float | 0% | 1 | 86.2658004760742 |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ | float | 0% | 1 | 91.1514587402344 |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct | float | 0% | 1 | 88.6342315673828 |
Primary_education_pupils_pct_female |
Primary_education_pupils_pct_female | float | 0% | 1 | 47.84365 |
School_enrollment_primary_female_pct_gross |
School_enrollment_primary_female_pct_gross | float | 0% | 1 | 119.634582519531 |
School_enrollment_primary_male_pct_gross |
School_enrollment_primary_male_pct_gross | float | 0% | 1 | 117.353507995605 |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag | float | 0% | 1 | 116.97477 |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ | float | 0% | 1 | 113.74812 |
Persistence_to_grade_5_female_pct_of_cohort |
Persistence_to_grade_5_female_pct_of_cohort | float | 0% | 1 | 98.1191482543945 |
Persistence_to_grade_5_male_pct_of_cohort |
Persistence_to_grade_5_male_pct_of_cohort | float | 0% | 1 | 94.036018371582 |
Persistence_to_last_grade_of_primary_female_pct_of_cohort |
Persistence_to_last_grade_of_primary_female_pct_of_cohort | float | 0% | 1 | 98.1191482543945 |
Persistence_to_last_grade_of_primary_male_pct_of_cohort |
Persistence_to_last_grade_of_primary_male_pct_of_cohort | float | 0% | 1 | 94.036018371582 |
Repeaters_primary_female_pct_of_female_enrollment |
Repeaters_primary_female_pct_of_female_enrollment | float | 0% | 1 | 0.48907 |
Repeaters_primary_male_pct_of_male_enrollment |
Repeaters_primary_male_pct_of_male_enrollment | float | 0% | 1 | 1.12306 |
| +203 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM Viet Nam - Gender
VNM-HDX-Viet_Nam_-_Gender
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Viet Nam - Gender
— 4,160 rows, 189 columns
Loading data…
Field details — 190 fields (type, nulls, unique, samples)
Extension Fields (190)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Firms_with_female_top_manager_pct_of_firms |
Firms_with_female_top_manager_pct_of_firms | float | 0% | 1 | 19.39894485 |
Firms_with_female_participation_in_ownership_pct_of_firms |
Firms_with_female_participation_in_ownership_pct_of_firms | float | 0% | 1 | 24.81352806 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 |
Literacy_rate_youth_female_pct_of_females_ages_15-24 | float | 0% | 1 | 99.1399993896484 |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI | float | 0% | 1 | 1.0 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 |
Literacy_rate_youth_male_pct_of_males_ages_15-24 | float | 0% | 1 | 98.9599990844727 |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above |
Literacy_rate_adult_female_pct_of_females_ages_15_and_above | float | 0% | 1 | 95.0800018310547 |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above |
Literacy_rate_adult_male_pct_of_males_ages_15_and_above | float | 0% | 1 | 97.2399978637695 |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.01944005489349 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.939800024032593 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.910570025444031 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.15940859495302 |
School_enrollment_preprimary_female_pct_gross |
School_enrollment_preprimary_female_pct_gross | float | 0% | 1 | 93.8917236328125 |
School_enrollment_preprimary_male_pct_gross |
School_enrollment_preprimary_male_pct_gross | float | 0% | 1 | 91.1513900756836 |
Primary_completion_rate_female_pct_of_relevant_age_group |
Primary_completion_rate_female_pct_of_relevant_age_group | float | 0% | 1 | 98.7009296425694 |
Primary_completion_rate_male_pct_of_relevant_age_group |
Primary_completion_rate_male_pct_of_relevant_age_group | float | 0% | 1 | 102.364780428188 |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc |
Educational_attainment_at_least_completed_primary_population_25+_years_female_pc | float | 0% | 1 | 84.9134525511569 |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ |
Educational_attainment_at_least_completed_primary_population_25+_years_male_pct_ | float | 0% | 1 | 90.3489267044393 |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct |
Educational_attainment_at_least_completed_primary_population_25+_years_total_pct | float | 0% | 1 | 87.5381163091741 |
Primary_education_pupils_pct_female |
Primary_education_pupils_pct_female | float | 0% | 1 | 47.84365 |
School_enrollment_primary_female_pct_gross |
School_enrollment_primary_female_pct_gross | float | 0% | 1 | 104.136144338916 |
School_enrollment_primary_male_pct_gross |
School_enrollment_primary_male_pct_gross | float | 0% | 1 | 108.424458564383 |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag |
Gross_intake_ratio_in_first_grade_of_primary_education_female_pct_of_relevant_ag | float | 0% | 1 | 116.97477 |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ |
Gross_intake_ratio_in_first_grade_of_primary_education_male_pct_of_relevant_age_ | float | 0% | 1 | 113.74812 |
Persistence_to_grade_5_female_pct_of_cohort |
Persistence_to_grade_5_female_pct_of_cohort | float | 0% | 1 | 98.1191482543945 |
Persistence_to_grade_5_male_pct_of_cohort |
Persistence_to_grade_5_male_pct_of_cohort | float | 0% | 1 | 94.036018371582 |
Persistence_to_last_grade_of_primary_female_pct_of_cohort |
Persistence_to_last_grade_of_primary_female_pct_of_cohort | float | 0% | 1 | 98.1191482543945 |
Persistence_to_last_grade_of_primary_male_pct_of_cohort |
Persistence_to_last_grade_of_primary_male_pct_of_cohort | float | 0% | 1 | 94.036018371582 |
Repeaters_primary_female_pct_of_female_enrollment |
Repeaters_primary_female_pct_of_female_enrollment | float | 0% | 1 | 0.48907 |
Repeaters_primary_male_pct_of_male_enrollment |
Repeaters_primary_male_pct_of_male_enrollment | float | 0% | 1 | 1.12306 |
| +160 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM Vietnam - Social Development
VNM-HDX-Vietnam_-_Social_Development
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Vietnam - Social Development
— 844 rows, 35 columns
Loading data…
Field details — 36 fields (type, nulls, unique, samples)
Extension Fields (36)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI |
Literacy_rate_youth_ages_15-24_gender_parity_index_GPI | float | 0% | 1 | 0.998269975185394 |
School_enrollment_primary_gross_gender_parity_index_GPI |
School_enrollment_primary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.01944005489349 |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI |
School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.939800024032593 |
School_enrollment_secondary_gross_gender_parity_index_GPI |
School_enrollment_secondary_gross_gender_parity_index_GPI | float | 0% | 1 | 0.910570025444031 |
School_enrollment_tertiary_gross_gender_parity_index_GPI |
School_enrollment_tertiary_gross_gender_parity_index_GPI | float | 0% | 1 | 1.11219000816345 |
Proportion_of_seats_held_by_women_in_national_parliaments_pct |
Proportion_of_seats_held_by_women_in_national_parliaments_pct | float | 0% | 1 | 30.2605210420842 |
Prevalence_of_HIV_female_pct_ages_15-24 |
Prevalence_of_HIV_female_pct_ages_15-24 | float | 0% | 1 | 0.1 |
Prevalence_of_HIV_male_pct_ages_15-24 |
Prevalence_of_HIV_male_pct_ages_15-24 | float | 0% | 1 | 0.1 |
Vulnerable_employment_female_pct_of_female_employment_modeled_ILO_estimate |
Vulnerable_employment_female_pct_of_female_employment_modeled_ILO_estimate | float | 0% | 1 | 56.97183 |
Vulnerable_employment_male_pct_of_male_employment_modeled_ILO_estimate |
Vulnerable_employment_male_pct_of_male_employment_modeled_ILO_estimate | float | 0% | 1 | 46.85412 |
Children_in_employment_female_pct_of_female_children_ages_7-14 |
Children_in_employment_female_pct_of_female_children_ages_7-14 | float | 0% | 1 | 10.1 |
Children_in_employment_male_pct_of_male_children_ages_7-14 |
Children_in_employment_male_pct_of_male_children_ages_7-14 | float | 0% | 1 | 11.7 |
Children_in_employment_study_and_work_female_pct_of_female_children_in_employmen |
Children_in_employment_study_and_work_female_pct_of_female_children_in_employmen | float | 0% | 1 | 83.4 |
Children_in_employment_study_and_work_male_pct_of_male_children_in_employment_ag |
Children_in_employment_study_and_work_male_pct_of_male_children_in_employment_ag | float | 0% | 1 | 79.1 |
Children_in_employment_study_and_work_pct_of_children_in_employment_ages_7-14 |
Children_in_employment_study_and_work_pct_of_children_in_employment_ages_7-14 | float | 0% | 1 | 81.0 |
Children_in_employment_work_only_female_pct_of_female_children_in_employment_age |
Children_in_employment_work_only_female_pct_of_female_children_in_employment_age | float | 0% | 1 | 16.6 |
Children_in_employment_work_only_male_pct_of_male_children_in_employment_ages_7- |
Children_in_employment_work_only_male_pct_of_male_children_in_employment_ages_7- | float | 0% | 1 | 20.9 |
Children_in_employment_work_only_pct_of_children_in_employment_ages_7-14 |
Children_in_employment_work_only_pct_of_children_in_employment_ages_7-14 | float | 0% | 1 | 19.0 |
Children_in_employment_total_pct_of_children_ages_7-14 |
Children_in_employment_total_pct_of_children_ages_7-14 | float | 0% | 1 | 10.9 |
Labor_force_participation_rate_for_ages_15-24_female_pct_modeled_ILO_estimate |
Labor_force_participation_rate_for_ages_15-24_female_pct_modeled_ILO_estimate | float | 0% | 1 | 42.234 |
Labor_force_participation_rate_for_ages_15-24_male_pct_modeled_ILO_estimate |
Labor_force_participation_rate_for_ages_15-24_male_pct_modeled_ILO_estimate | float | 0% | 1 | 46.5 |
Labor_force_participation_rate_for_ages_15-24_total_pct_modeled_ILO_estimate |
Labor_force_participation_rate_for_ages_15-24_total_pct_modeled_ILO_estimate | float | 0% | 1 | 44.427 |
Labor_force_participation_rate_female_pct_of_female_population_ages_15-64_modele |
Labor_force_participation_rate_female_pct_of_female_population_ages_15-64_modele | float | 0% | 1 | 74.181 |
Labor_force_participation_rate_male_pct_of_male_population_ages_15-64_modeled_IL |
Labor_force_participation_rate_male_pct_of_male_population_ages_15-64_modeled_IL | float | 0% | 1 | 81.806 |
Labor_force_participation_rate_total_pct_of_total_population_ages_15-64_modeled_ |
Labor_force_participation_rate_total_pct_of_total_population_ages_15-64_modeled_ | float | 0% | 1 | 77.96 |
Labor_force_participation_rate_female_pct_of_female_population_ages_15+_modeled_ |
Labor_force_participation_rate_female_pct_of_female_population_ages_15+_modeled_ | float | 0% | 1 | 69.1 |
Labor_force_participation_rate_male_pct_of_male_population_ages_15+_modeled_ILO_ |
Labor_force_participation_rate_male_pct_of_male_population_ages_15+_modeled_ILO_ | float | 0% | 1 | 78.018 |
Unemployment_female_pct_of_female_labor_force_modeled_ILO_estimate |
Unemployment_female_pct_of_female_labor_force_modeled_ILO_estimate | float | 0% | 1 | 1.663 |
Unemployment_male_pct_of_male_labor_force_modeled_ILO_estimate |
Unemployment_male_pct_of_male_labor_force_modeled_ILO_estimate | float | 0% | 1 | 2.167 |
| +6 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM Viet Nam - Urban Development
VNM-HDX-Viet_Nam_-_Urban_Development
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Viet Nam - Urban Development
— 635 rows, 18 columns
Loading data…
Field details — 19 fields (type, nulls, unique, samples)
Extension Fields (19)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Urban_land_area_where_elevation_is_below_5_meters_sq._km |
Urban_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 12038.38831231 |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 3.69001716480874 |
Urban_land_area_sq._km |
Urban_land_area_sq._km | float | 0% | 1 | 28615.40605963 |
Access_to_electricity_urban_pct_of_urban_population |
Access_to_electricity_urban_pct_of_urban_population | float | 0% | 1 | 100.0 |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter | float | 0% | 1 | 20.8010641731194 |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p | float | 0% | 1 | 100.0 |
Population_density_people_per_sq._km_of_land_area |
Population_density_people_per_sq._km_of_land_area | float | 0% | 1 | 320.175197572656 |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 22.504797464959 |
Population_living_in_slums_pct_of_urban_population |
Population_living_in_slums_pct_of_urban_population | float | 0% | 1 | 32.5 |
Population_in_largest_city |
Population_in_largest_city | float | 0% | 1 | 9816318.0 |
Population_in_the_largest_city_pct_of_urban_population |
Population_in_the_largest_city_pct_of_urban_population | float | 0% | 1 | 24.8825424125748 |
Population_in_urban_agglomerations_of_more_than_1_million |
Population_in_urban_agglomerations_of_more_than_1_million | float | 0% | 1 | 20215932.0 |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio | float | 0% | 1 | 19.8978593459332 |
Mortality_caused_by_road_traffic_injury_per_100000_population |
Mortality_caused_by_road_traffic_injury_per_100000_population | float | 0% | 1 | 30.6 |
Urban_population_growth_annual_pct |
Urban_population_growth_annual_pct | float | 0% | 1 | 1.57144510714158 |
Urban_population |
Urban_population | float | 0% | 1 | 38870231.0 |
Urban_population_pct_of_total_population |
Urban_population_pct_of_total_population | float | 0% | 1 | 38.4900703430176 |
year |
Reference year | integer | 0% | - | - |
VNM Vietnam - Urban Development
VNM-HDX-Vietnam_-_Urban_Development
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Vietnam - Urban Development
— 618 rows, 20 columns
Loading data…
Field details — 21 fields (type, nulls, unique, samples)
Extension Fields (21)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM |
Urban_land_area_where_elevation_is_below_5_meters_sq._km |
Urban_land_area_where_elevation_is_below_5_meters_sq._km | float | 0% | 1 | 12038.38831231 |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area |
Urban_land_area_where_elevation_is_below_5_meters_pct_of_total_land_area | float | 0% | 1 | 3.69001716480874 |
Urban_land_area_sq._km |
Urban_land_area_sq._km | float | 0% | 1 | 28615.40605963 |
Access_to_electricity_urban_pct_of_urban_population |
Access_to_electricity_urban_pct_of_urban_population | float | 0% | 1 | 100.0 |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter |
PM2.5_air_pollution_mean_annual_exposure_micrograms_per_cubic_meter | float | 0% | 1 | 20.3898157 |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p |
PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p | float | 0% | 1 | 100.0 |
Population_density_people_per_sq._km_of_land_area |
Population_density_people_per_sq._km_of_land_area | float | 0% | 1 | 310.973231577167 |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ |
Urban_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_ | float | 0% | 1 | 22.504797464959 |
Population_living_in_slums_pct_of_urban_population |
Population_living_in_slums_pct_of_urban_population | float | 0% | 1 | 5.76598 |
Population_in_largest_city |
Population_in_largest_city | float | 0% | 1 | 9077158.0 |
Population_in_the_largest_city_pct_of_urban_population |
Population_in_the_largest_city_pct_of_urban_population | float | 0% | 1 | 23.8476475796767 |
Population_in_urban_agglomerations_of_more_than_1_million |
Population_in_urban_agglomerations_of_more_than_1_million | float | 0% | 1 | 18501352.0 |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio |
Population_in_urban_agglomerations_of_more_than_1_million_pct_of_total_populatio | float | 0% | 1 | 18.8430027742206 |
Pump_price_for_diesel_fuel_USusd_per_liter |
Pump_price_for_diesel_fuel_USusd_per_liter | float | 0% | 1 | 0.59 |
Pump_price_for_gasoline_USusd_per_liter |
Pump_price_for_gasoline_USusd_per_liter | float | 0% | 1 | 0.8 |
Mortality_caused_by_road_traffic_injury_per_100000_population |
Mortality_caused_by_road_traffic_injury_per_100000_population | float | 0% | 1 | 30.6 |
Urban_population_growth_annual_pct |
Urban_population_growth_annual_pct | float | 0% | 1 | 2.59378902775746 |
Urban_population |
Urban_population | float | 0% | 1 | 38063117.0 |
Urban_population_pct_of_total_population |
Urban_population_pct_of_total_population | float | 0% | 1 | 38.766 |
year |
Reference year | integer | 0% | - | - |
VNM Viet nam - Demographic, Health, Education and Tran
VNM-HDX-Viet_nam_-_Demographic,_Health,_Edu
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Viet Nam - Demographic, Health, Education And Tran
— 443 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Extension Fields (11)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
category |
category | string | 0% | 6 | Slum dwellers, Slum dwellers, Slum dwellers, Slum... |
indicator |
indicator | string | 0% | 28 | improved_sanitation_cities, improved_sanitation_cities,... |
indicator_friendly |
indicator_friendly | string | 0% | 28 | Proportion of population with access to improved... |
type_data |
type_data | string | 0% | 3 | p, p, p, p, p |
latitude |
latitude | float | 0% | 5 | 21.033327, 21.033327, 21.033327, 21.033327, 21.033327 |
longitude |
longitude | float | 0% | 5 | 105.850014, 105.850014, 105.850014, 105.850014, 105.850014 |
region_id |
region_id | string | 0% | 1 | 789, 789, 789, 789, 789 |
country_id |
country_id | string | 0% | 1 | VN, VN, VN, VN, VN |
name |
name | string | 0% | 5 | Hanoi, Hanoi, Hanoi, Hanoi, Hanoi |
year |
year | string | 0% | 25 | 1990, 1993, 1997, 1998, 2000 |
value |
value | string | 0% | 90 | 100, 100, 67.1, 69.3, 81.7 |
VNM Viet Nam - Subnational Demographic and Health Data
VNM-HDX-Viet_Nam_-_Subnational_Demographic_
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Viet Nam - Subnational Demographic And Health Data
— 313 rows, 30 columns
Loading data…
Field details — 30 fields (type, nulls, unique, samples)
Extension Fields (30)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ISO3 |
ISO3 | string | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
Location |
Location | string | 0% | 10 | North, Northern Uplands, Red River Delta, Central, North Central |
DataId |
DataId | string | 0% | 100 | 1116583, 7038900, 1138641, 1131562, 1131605 |
Indicator |
Indicator | string | 0% | 9 | Total fertility rate 15-49, Total fertility rate 15-49,... |
Value |
Value | string | 0% | 92 | 2.4, 2.7, 2, 2.9, 2.6 |
Precision |
Precision | string | 0% | 2 | 1, 1, 1, 1, 1 |
DHS_CountryCode |
DHS_CountryCode | string | 0% | 1 | VN, VN, VN, VN, VN |
CountryName |
CountryName | string | 0% | 1 | Vietnam, Vietnam, Vietnam, Vietnam, Vietnam |
SurveyYear |
SurveyYear | string | 0% | 1 | 1997, 1997, 1997, 1997, 1997 |
SurveyId |
SurveyId | string | 0% | 1 | VN1997DHS, VN1997DHS, VN1997DHS, VN1997DHS, VN1997DHS |
IndicatorId |
IndicatorId | string | 0% | 9 | FE_FRTR_W_TFR, FE_FRTR_W_TFR, FE_FRTR_W_TFR,... |
IndicatorOrder |
IndicatorOrder | string | 0% | 9 | 11763080, 11763080, 11763080, 11763080, 11763080 |
IndicatorType |
IndicatorType | string | 0% | 1 | I, I, I, I, I |
CharacteristicId |
CharacteristicId | string | 0% | 10 | 479001, 479002, 479003, 479004, 479005 |
CharacteristicOrder |
CharacteristicOrder | string | 0% | 10 | 1479001, 1479002, 1479003, 1479004, 1479005 |
CharacteristicCategory |
CharacteristicCategory | string | 0% | 1 | Region, Region, Region, Region, Region |
CharacteristicLabel |
CharacteristicLabel | string | 0% | 10 | North, ..Northern Uplands, ..Red River Delta, Central,... |
ByVariableId |
ByVariableId | string | 0% | 4 | 0, 0, 0, 0, 0 |
ByVariableLabel |
ByVariableLabel | string | 60% | 3 | Ten years preceding the survey, Ten years preceding the... |
IsTotal |
IsTotal | string | 0% | 1 | 0, 0, 0, 0, 0 |
IsPreferred |
IsPreferred | string | 0% | 2 | 1, 1, 1, 1, 1 |
SDRID |
SDRID | string | 0% | 9 | FEFRTRWTFR, FEFRTRWTFR, FEFRTRWTFR, FEFRTRWTFR, FEFRTRWTFR |
RegionId |
RegionId | string | 0% | 10 | VNDHS1997479001, VNDHS1997479002, VNDHS1997479003,... |
SurveyYearLabel |
SurveyYearLabel | string | 0% | 1 | 1997, 1997, 1997, 1997, 1997 |
SurveyType |
SurveyType | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
DenominatorWeighted |
DenominatorWeighted | string | 40% | 39 | 2307, 1110, 1197, 1373, 646 |
DenominatorUnweighted |
DenominatorUnweighted | string | 40% | 40 | 2101, 1028, 1073, 1455, 735 |
CILow |
CILow | string | 80% | 19 | 26, 28, 16, 25, 18 |
CIHigh |
CIHigh | string | 80% | 16 | 57, 74, 41, 41, 43 |
LevelRank |
LevelRank | string | 30% | 1 | 1, 1, 1, 1, 1 |
VNM World Bank Open Data
VNM-WORLD_BANK
Development Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 3 table(s)
VNM World Bank - Development Indicators
— 66 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VN, VN, VN, VN, VN |
population_count |
Population count | float | SEL | 2% | 65 | 32531933.0, 33409059.0, 34288560.0, 35249101.0, 36201563.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 58.046, 58.461, 58.204, 56.897, 57.473 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 39% | 40 | 238.647805313403, 436.419296772225, 595.247488701606,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 89% | 7 | 83.8300018310547, 87.5999984741211, 90.2799987792969,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 9% | 59 | 87.3, 99.3, 99.7, 100.4, 115.7 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 76% | 16 | 58.1, 37.4, 28.9, 19.5, 16.0 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Viet Nam, Viet Nam, Viet Nam, Viet Nam, Viet Nam |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
VNM World Bank - Health Indicators
— 66 rows, 14 columns
Loading data…
Field details — 14 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VN, VN, VN, VN, VN |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 58.046, 58.461, 58.204, 56.897, 57.473 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 24% | 50 | 28.8, 28.0, 27.7, 27.3, 26.9 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 9% | 59 | 87.3, 99.3, 99.7, 100.4, 115.7 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 186.0, 174.0, 163.0, 155.0, 152.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 62 | 6.273, 5.476, 6.257, 6.385, 6.285 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 41.589, 35.639, 39.972, 39.952, 38.561 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 12.225, 11.724, 11.973, 12.687, 12.313 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 61% | 26 | 0.241, 0.247, 1.056, 0.391, 0.404 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 65% | 23 | 3.49729990959167, 3.69609999656677, 3.30170011520386,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 20 | 4.0, 5.0, 42.0, 43.0, 50.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.10752726, 4.80107498, 3.87075853, 3.94229889, 4.08791971 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Viet Nam, Viet Nam, Viet Nam, Viet Nam, Viet Nam |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
VNM World Bank - Migration Indicators
— 66 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Pending (9) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
country_name |
country_name | string | 0% | 1 | Viet Nam, Viet Nam, Viet Nam, Viet Nam, Viet Nam |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 88560.0, 88376.0, 86213.0, 81997.0, 84408.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 3 | 0.1, 0.1, 0.1, 0.1, 0.1 |
net_migration |
net_migration | float | 0% | 62 | 0.0, 0.0, 0.0, 0.0, -6328.0 |
remittances_received_usd |
remittances_received_usd | float | 92% | 5 | 1340000000.0, 1100000000.0, 1770000000.0, 2100000000.0,... |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 92% | 5 | 4.29865814068281, 3.365437690751, 5.04789720062267,... |
remittances_paid_usd |
remittances_paid_usd | float | 99% | 1 | 46000000.0 |
VNM LandScan Global (ORNL)
VNM-LANDSCAN
Modeled Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM LandScan - Population Admin0 (admin_0)
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Vietnam |
admin_code |
Admin code | string | SEL | 0% | 1 | 46766057B20227385519093 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 331077.7683 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 105541467 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 318.78 |
1
Admin 1
— 1 table(s)
VNM LandScan - Population Admin1 (admin_1)
— 64 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
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% | 64 | Ho Chi Minh, Hà Nội , Thanh Hóa, Nghệ An, Đồng Nai |
admin_code |
Admin code | string | SEL | 0% | 64 | 63759600B80663352659785, 63759600B97268694287734,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 64 | 2091.088, 3213.9268, 10485.8883, 16546.7047, 6028.4678 |
pop_2024 |
Population count | integer | SEL | 0% | 64 | 9868137, 8999984, 3925808, 3563446, 3457472 |
pop_density_2024 |
Population density | float | SEL | 0% | 64 | 4719.14, 2800.31, 374.39, 215.36, 573.52 |
Locality
Locality
— 1 table(s)
VNM LandScan - Cities (locality)
— 128 rows, 9 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 100 | Ho Chi Minh City, Hanoi, Đà Nẵng, Hải Phòng, Cần Thơ |
admin_code |
Admin code | integer | SEL | 0% | 100 | 5239, 1999, 5294, 3874, 4768 |
area_sqkm |
Area sqkm | float | SEL | 0% | 100 | 1477.7437, 920.3834, 223.7227, 219.8919, 326.9289 |
pop_2024 |
Population count | integer | SEL | 0% | 100 | 12477517, 5837149, 1149761, 1099682, 732223 |
pop_density_2024 |
Population density | float | SEL | 0% | 100 | 8443.63, 6342.08, 5139.22, 5001.01, 2239.7 |
Extension Fields (2)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 100 | 14557830, 4965520, 1178696, 922307, 1652649 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 97 | 0.857, 1.176, 0.975, 1.192, 0.443 |
VNM GHS Urban Centre Database (EU JRC)
VNM-GHSL_UCDB
Modeled Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
Locality
Locality
— 1 table(s)
VNM GHS-UCDB - Cities (locality)
— 128 rows, 10 columns
Loading data…
Field details — 10 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 99 | Ho Chi Minh City, Hanoi, Cần Thơ, Đà Nẵng, Hải Phòng |
country_code |
Country code | string | SEL | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
population |
Population count | integer | SEL | 0% | 100 | 14557830, 4965520, 1652649, 1178696, 922307 |
Extension Fields (7)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 100 | 5239, 1999, 4768, 5294, 3874 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Vietnam, Vietnam, Vietnam, Vietnam, Vietnam |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
VNM Glottolog Language Catalog
VNM-GLOTTOLOG
Language
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Glottolog - Languages
— 120 rows, 16 columns
Loading data…
Field details — 16 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | akha1245, arem1240, bahn1262, biha1246, biyo1243 |
name |
Name | string | CCL | 0% | 100 | Akha, Arem, Bahnar, Bih, Biyo |
iso639_3 |
Iso639 3 | string | CCL | 1% | 99 | ahk, aem, bdq, ibh, byo |
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% | 7 | sino1245, aust1305, aust1305, aust1307, sino1245 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 73 | akha1246, chut1246, tamp1256, rade1241, bika1252 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
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% | 13 | 2, 0, 7, 0, 0 |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 100 | 21.2309, 17.7672, 14.0476, 12.483333, 22.511 |
longitude |
longitude | float | 0% | 100 | 100.964, 105.928, 108.471, 108.016667, 101.652 |
country_codes |
Country codes | string | 0% | 12 | ['CN', 'LA', 'MM', 'TH', 'VN'], ['LA', 'VN'], ['VN'],... |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
VNM UNHCR Refugee Data Finder
VNM-UNHCR
Migration
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
VNM UNHCR - Hosted Populations
— 52 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| 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% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| 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% | - | - |
VNM UNHCR - Origin Populations
— 58 rows, 24 columns
Loading data…
Field details — 24 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| 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% | - | - |
Extension Fields (18)
— supplemental data preserved outside core SEL/CCL schema
| 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% | - | - |
VNM HDX COD — Population Statistics (OCHA/UNFPA)
VNM-COD_PS
Census Derived Population
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM COD PS - VNM Codps (admin_0)
— 1 rows, 59 columns
Loading data…
Field details — 59 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | VN |
region_name |
Region name | string | SEL | 0% | 1 | Viet Nam |
F_TL |
Female population | integer | SEL | 0% | 1 | 50434533 |
M_TL |
Male population | integer | SEL | 0% | 1 | 50334364 |
T_TL |
Total population | integer | SEL | 0% | 1 | 100768914 |
Pending (54) — awaiting mapping
| 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 | 3518411 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 3711367 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 3972062 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 3477952 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 3148758 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 3251812 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 4136017 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 4102442 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 3779587 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 3290727 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 3085535 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 2829066 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 2617640 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 2063015 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 1380289 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 813141 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 1256714 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 3889961 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 4069403 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 4341350 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 3722405 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 3336556 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 3399849 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 4277272 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 4245246 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 3849360 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 3307248 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
1
Admin 1
— 1 table(s)
VNM COD PS - VNM Codps (admin_1)
— 63 rows, 60 columns
Loading data…
Field details — 60 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 63 | VN805, VN717, VN221, VN207, VN821 |
region_name |
Region name | string | SEL | 0% | 63 | An Giang, Ba Ria - Vung Tau, Bac Giang, Bac Kan, Bac Lieu |
F_TL |
Female population | integer | SEL | 0% | 63 | 928139, 589562, 939499, 153602, 464304 |
M_TL |
Male population | integer | SEL | 0% | 63 | 910447, 596946, 951364, 162614, 466079 |
T_TL |
Total population | integer | SEL | 0% | 63 | 1838587, 1186511, 1890863, 316216, 930383 |
Pending (55) — awaiting mapping
| 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 |
ADM1_VI |
ADM1_VI | string | 0% | 63 | An Giang, Bà Rịa - Vũng Tàu, Bắc Giang, Bắc Kạn, Bạc Liêu |
F_00_04 |
Female population age 0-4 | integer | 0% | 63 | 47372, 37541, 68833, 9082, 26676 |
F_05_09 |
Female population age 5-9 | integer | 0% | 63 | 58020, 42493, 80061, 13238, 24837 |
F_10_14 |
Female population age 10-14 | integer | 0% | 63 | 78488, 47134, 77035, 14203, 34724 |
F_15_19 |
Female population age 15-19 | integer | 0% | 63 | 78147, 41609, 58985, 10995, 33413 |
F_20_24 |
Female population age 20-24 | integer | 0% | 63 | 49910, 33593, 53173, 7203, 32748 |
F_25_29 |
Female population age 25-29 | integer | 0% | 63 | 36980, 30465, 56600, 6417, 29311 |
F_30_34 |
Female population age 30-34 | integer | 0% | 63 | 54624, 47798, 79621, 11322, 38752 |
F_35_39 |
Female population age 35-39 | integer | 0% | 63 | 69221, 54092, 75475, 12694, 40453 |
F_40_44 |
Female population age 40-44 | integer | 0% | 63 | 74493, 49497, 68297, 11395, 40049 |
F_45_49 |
Female population age 45-49 | integer | 0% | 63 | 70586, 42487, 61286, 11329, 33587 |
F_50_54 |
Female population age 50-54 | integer | 0% | 63 | 71588, 39981, 54929, 10341, 27942 |
F_55_59 |
Female population age 55-59 | integer | 0% | 63 | 67715, 34761, 51358, 10428, 26311 |
F_60_64 |
Female population age 60-64 | integer | 0% | 63 | 54170, 30454, 52596, 9249, 23818 |
F_65_69 |
Female population age 65-69 | integer | 0% | 63 | 43010, 23092, 38594, 5762, 20360 |
F_70_74 |
Female population age 70-74 | integer | 0% | 63 | 33395, 14160, 23994, 3652, 14630 |
F_75_79 |
Female population age 75-79 | integer | 0% | 62 | 18435, 8486, 14593, 2539, 7338 |
F_80Plus |
F_80Plus | integer | 0% | 63 | 21987, 11919, 24069, 3753, 9355 |
M_00_04 |
Male population age 0-4 | integer | 0% | 63 | 50480, 41417, 77423, 10210, 28422 |
M_05_09 |
Male population age 5-9 | integer | 0% | 63 | 61743, 46340, 93953, 13975, 26703 |
M_10_14 |
Male population age 10-14 | integer | 0% | 63 | 83713, 51404, 88619, 14683, 36765 |
M_15_19 |
Male population age 15-19 | integer | 0% | 63 | 82528, 45242, 65055, 11416, 35322 |
M_20_24 |
Male population age 20-24 | integer | 0% | 63 | 54053, 36356, 56422, 9420, 34746 |
M_25_29 |
Male population age 25-29 | integer | 0% | 63 | 40394, 33592, 58157, 9604, 31219 |
M_30_34 |
Male population age 30-34 | integer | 0% | 62 | 57273, 47875, 83131, 14107, 41543 |
M_35_39 |
Male population age 35-39 | integer | 0% | 63 | 72538, 54441, 79485, 15384, 44639 |
M_40_44 |
Male population age 40-44 | integer | 0% | 63 | 77708, 50160, 69610, 12847, 41895 |
| +25 more pending fields — download the CSV/Parquet to see them all. | |||||
VNM Google Community Mobility (2020-2022)
VNM-GOOGLE-MOBILITY
Mobility
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
1
Admin 1
— 1 table(s)
VNM Mobility by Region
— 63 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VN, VN, VN, VN, VN |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 63 | -15.4, -6.32, -2.83, -15.68, -8.65 |
grocery |
grocery | float | 0% | 62 | -1.34, 7.45, 18.07, 8.07, 27.53 |
parks |
parks | float | 0% | 62 | -6.42, -3.51, 17.82, -5.2, 0.72 |
transit |
transit | float | 0% | 62 | -7.44, -12.76, -6.77, -13.75, -31.47 |
workplaces |
workplaces | float | 0% | 62 | -7.67, -3.59, -4.16, -8.99, 0.18 |
residential |
residential | float | 0% | 57 | -1.15, 1.78, -4.57, 1.34, -0.73 |
region |
region | string | 0% | 63 | An Giang, Ba Ria - Vung Tau, Bac Giang, Bac Lieu, Bac... |
observation_count |
observation_count | integer | 0% | 5 | 974, 974, 974, 974, 974 |
VNM Viet Nam - National Demographic and Health Data
VNM-HDX-Viet_Nam_-_National_Demographic_and
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Viet Nam - National Demographic And Health Data
— 43 rows, 29 columns
Loading data…
Field details — 29 fields (type, nulls, unique, samples)
Extension Fields (29)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ISO3 |
ISO3 | string | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
DataId |
DataId | string | 0% | 43 | 146263, 362123, 362124, 601472, 585617 |
Indicator |
Indicator | string | 0% | 20 | Total fertility rate 15-49, Married women currently... |
Value |
Value | string | 0% | 38 | 2.3, 75.3, 55.8, 8.4, 66.7 |
Precision |
Precision | string | 0% | 2 | 1, 1, 1, 1, 1 |
DHS_CountryCode |
DHS_CountryCode | string | 0% | 1 | VN, VN, VN, VN, VN |
CountryName |
CountryName | string | 0% | 1 | Vietnam, Vietnam, Vietnam, Vietnam, Vietnam |
SurveyYear |
SurveyYear | string | 0% | 3 | 1997, 1997, 1997, 1997, 1997 |
SurveyId |
SurveyId | string | 0% | 3 | VN1997DHS, VN1997DHS, VN1997DHS, VN1997DHS, VN1997DHS |
IndicatorId |
IndicatorId | string | 0% | 20 | FE_FRTR_W_TFR, FP_CUSM_W_ANY, FP_CUSM_W_MOD,... |
IndicatorOrder |
IndicatorOrder | string | 0% | 20 | 11763080, 32633010, 32633020, 32933030, 32933150 |
IndicatorType |
IndicatorType | string | 0% | 1 | I, I, I, I, I |
CharacteristicId |
CharacteristicId | string | 0% | 2 | 1000, 1000, 1000, 1000, 1000 |
CharacteristicOrder |
CharacteristicOrder | string | 0% | 2 | 0, 0, 0, 0, 0 |
CharacteristicCategory |
CharacteristicCategory | string | 0% | 2 | Total, Total, Total, Total, Total |
CharacteristicLabel |
CharacteristicLabel | string | 0% | 2 | Total, Total, Total, Total, Total |
ByVariableId |
ByVariableId | string | 0% | 5 | 0, 0, 0, 0, 0 |
ByVariableLabel |
ByVariableLabel | string | 67% | 4 | Five years preceding the survey, Ten years preceding the... |
IsTotal |
IsTotal | string | 0% | 1 | 1, 1, 1, 1, 1 |
IsPreferred |
IsPreferred | string | 0% | 2 | 1, 1, 1, 1, 1 |
SDRID |
SDRID | string | 0% | 20 | FEFRTRWTFR, FPCUSMWANY, FPCUSMWMOD, FPNADMWUNT, FPNADMWPDM |
RegionId |
RegionId | string | 100% | - | - |
SurveyYearLabel |
SurveyYearLabel | string | 0% | 3 | 1997, 1997, 1997, 1997, 1997 |
SurveyType |
SurveyType | string | 0% | 2 | DHS, DHS, DHS, DHS, DHS |
DenominatorWeighted |
DenominatorWeighted | string | 37% | 22 | 5340, 5340, 5340, 4468, 1818 |
DenominatorUnweighted |
DenominatorUnweighted | string | 37% | 22 | 5331, 5331, 5331, 4468, 1775 |
CILow |
CILow | string | 74% | 10 | 21, 28, 28, 38, 9 |
CIHigh |
CIHigh | string | 74% | 11 | 36, 42, 47, 54, 27 |
LevelRank |
LevelRank | string | 100% | - | - |
VNM Vietnam - Risk Assessment Indicators
VNM-HDX-Vietnam_-_Risk_Assessment_Indicator
Indicators
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 1 table(s)
VNM Vietnam - Risk Assessment Indicators
— 34 rows, 15 columns
Loading data…
Field details — 15 fields (type, nulls, unique, samples)
Extension Fields (15)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ADM1_PCODE |
ADM1_PCODE | string | 0% | 34 | VN91, VN24, VN96, VN92, VN04 |
female_pop |
female_pop | string | 0% | 34 | 2081981, 1409184, 1153219, 1806620, 262624 |
children_u5 |
children_u5 | string | 0% | 34 | 321101, 222531, 168564, 262955, 41596 |
female_u5 |
female_u5 | string | 0% | 34 | 152703, 102516, 80233, 125402, 20310 |
elderly |
elderly | string | 0% | 34 | 285076, 244258, 145733, 255737, 45889 |
pop_u15 |
pop_u15 | string | 0% | 34 | 979765, 646813, 541054, 787257, 127710 |
female_u15 |
female_u15 | string | 0% | 34 | 465462, 304139, 257151, 373927, 62170 |
female_pop_rural |
female_pop_rural | string | 0% | 34 | 274436, 104541, 395709, 210840, 116566 |
children_u5_rural |
children_u5_rural | string | 0% | 34 | 42565, 16206, 58863, 31171, 18463 |
female_u5_rural |
female_u5_rural | string | 0% | 34 | 20247, 7494, 28027, 14861, 9015 |
elderly_rural |
elderly_rural | string | 0% | 34 | 35908, 17756, 49566, 29708, 20368 |
pop_u15_rural |
pop_u15_rural | string | 0% | 34 | 131762, 47822, 187877, 95132, 56685 |
female_u15_rural |
female_u15_rural | string | 0% | 34 | 62583, 22541, 89352, 45158, 27594 |
rural_pop_perc |
rural_pop_perc | float | 0% | 34 | 13.18, 7.42, 34.31, 11.67, 44.39 |
ADM_PCODE |
ADM_PCODE | string | 0% | 34 | VN91, VN24, VN96, VN92, VN04 |
VNM OpenFactBook
VNM-OPENFACTBOOK
Country Profile
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 15 table(s)
VNM OpenFactBook - Communications
— 1 rows, 21 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (7)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 128.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 78.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 23.0 |
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (15)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 2.316 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 2.316 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 129 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 129.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 128 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-controlled broadcast media, with oversight from... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2018.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .vn |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 78% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 22.8 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 22.8 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 23 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/vm.json |
VNM OpenFactBook - Economy
— 1 rows, 151 columns
Loading data…
Field details — 156 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| 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 | 14400.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 476.388 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 4.3 |
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (150)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | lower middle-income socialist East Asian economy; rapid... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $1.456 trillion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 1.456 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $1.359 trillion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 1.359 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $1.294 trillion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 1.294 |
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 | 7.1% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 7.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 8.5% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 8.5 |
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 | $14,400 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $13,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 13500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $13,000 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 13000.0 |
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 | $476.388 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 3.6% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 3.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 3.3% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 3.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 3.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 3.2 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 11.9% (2024 est.) |
| +120 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM OpenFactBook - Energy
— 1 rows, 51 columns
Loading data…
Field details — 51 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| 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 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (47)
— supplemental data preserved outside core SEL/CCL schema
| 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 | 85.725 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 85.725 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 277.501 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 277.501 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 933.237 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 933.237 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 3.106 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 3.106 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 18.197 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 18.197 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 50.6% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 50.6 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 9.7% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 9.7 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 4.2% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 4.2 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 34.3% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 34.3 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 1.1% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 1.1 |
coal_production_text |
coal_production_text | string | 0% | 1 | 51.519 million metric tons (2023 est.) |
coal_production_numeric |
coal_production_numeric | float | 0% | 1 | 51.519 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 96.099 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 96.099 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 815,000 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 815000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 43.637 million metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 43.637 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 3.116 billion metric tons (2023 est.) |
| +17 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM OpenFactBook - Environment
— 1 rows, 54 columns
Loading data…
Field details — 60 fields (type, nulls, unique, samples)
Standards-Aligned Fields (8)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 39.2 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 47.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 39.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.7 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 9.57 |
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (52)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation and soil degradation from logging and... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | tropical in south; monsoonal in north with hot, rainy... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 39.2% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 21.5% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 21.5 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 15.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 15.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 2.0 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 47% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 13.7% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 13.7 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 39.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.7% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 305.404 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 305.404 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 218.502 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 | 218.502 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 72.383 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 | 72.383 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 14.52 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 14.52 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 20.9 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 20.9 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 806.7 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 806.7 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 2,146.3 kt (2019-2021 est.) |
| +22 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM OpenFactBook - Ethnic Groups
— 1 rows, 8 columns
Loading data…
Field details — 9 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (6)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Vietnamese (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Vietnamese |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Kinh (Viet) 85.3%, Tay 1.9%, Thai 1.9%, Muong 1.5%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 85.3 |
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/vm.json |
VNM OpenFactBook - Geography
— 1 rows, 57 columns
Loading data…
Field details — 61 fields (type, nulls, unique, samples)
Standards-Aligned Fields (13)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 331210.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 310070.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 21140.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 4616.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 3444.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3144.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 39.2 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 47.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 46000.0 |
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (48)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southeastern Asia, bordering the Gulf of Thailand, Gulf... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 16 10 N, 107 50 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 16.0 |
map_references_text |
map_references_text | string | 0% | 1 | Southeast Asia |
area_total_text |
area_total_text | string | 0% | 1 | 331,210 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 310,070 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 21,140 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | about three times the size of Tennessee; slightly larger... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 4,616 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Cambodia 1,158 km; China 1,297 km; Laos 2,161 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1158.0 |
coastline_text |
coastline_text | string | 0% | 1 | 3,444 km (excludes islands) |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm or to the edge of the continental margin |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical in south; monsoonal in north with hot, rainy... |
terrain_text |
terrain_text | string | 0% | 1 | low, flat delta in south and north; central highlands;... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Fan Si Pan 3,144 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | South China Sea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 398 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 398.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | antimony, phosphates, coal, manganese, rare earth... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 39.2% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 21.5% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 21.5 |
| +18 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM OpenFactBook - Government
— 1 rows, 80 columns
Loading data…
Field details — 103 fields (type, nulls, unique, samples)
Standards-Aligned Fields (2)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (101)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Socialist Republic of Vietnam |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Vietnam |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Cong Hoa Xa Hoi Chu Nghia Viet Nam |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Viet Nam |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Democratic Republic of Vietnam (North Vietnam), Republic... |
country_name_abbreviation_text |
country_name_abbreviation_text | string | 0% | 1 | SRV |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name translates as "Viet south;" Viet is an ethnic... |
government_type_text |
government_type_text | string | 0% | 1 | communist party-led state |
capital_name_text |
capital_name_text | string | 0% | 1 | Hanoi (Ha Noi) |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 21 02 N, 105 51 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 21.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+7 (12 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 7.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name means "inside the river," from the Vietnamese... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 58 provinces (tinh, singular and plural) and 5... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 58.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system with European influences |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted 28 November 2013,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 28.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president, by the National Assembly’s... |
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 Vietnam |
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 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
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 Luong CUONG (since 21 Oct 2024) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 21.0 |
| +71 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM OpenFactBook - Introduction
— 1 rows, 6 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Vietnam's early history included periods of occupation... |
background_numeric |
background_numeric | float | 0% | 1 | 10.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/vm.json |
VNM OpenFactBook - Languages
— 1 rows, 7 columns
Loading data…
Field details — 7 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Vietnamese (official); English (often as a second... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Dữ kiện thế giới, là nguồn thông tin cơ bản không thể... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/vm.json |
VNM OpenFactBook - Migration
— 1 rows, 11 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 19 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 19.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 2,568 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 2568.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 20,590 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 20590.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/vm.json |
VNM OpenFactBook - Military And Security
— 1 rows, 23 columns
Loading data…
Field details — 27 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (24)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | People's Army of Vietnam (PAVN; aka Vietnam People's... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.8% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.8 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.3% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.3 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.3 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.4% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.4 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 2.3% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 2.3 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 450,000 active-duty People's Army of Vietnam (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 450000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the PAVN is equipped largely with armaments from Russia... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-27 years of age for compulsory and voluntary military... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 200 Abyei/South Sudan/Sudan (UNISFA) (2025) |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 200.0 |
military_note_text |
military_note_text | string | 0% | 1 | since withdrawing its military occupation forces from... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1980.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/vm.json |
VNM OpenFactBook - People And Society
— 1 rows, 137 columns
Loading data…
Field details — 150 fields (type, nulls, unique, samples)
Standards-Aligned Fields (29)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 106688169.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 53597784.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 53090385.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 23.2 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 68.5 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 8.3 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 46.4 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 33.6 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 12.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 33.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.86 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 14.58 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.81 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.21 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 39.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.7 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.1 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.01 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 48.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 13.8 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 76.1 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.01 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.96 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.11 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.6 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 96.1 |
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (121)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 106,688,169 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 53,597,784 |
population_female_text |
population_female_text | string | 0% | 1 | 53,090,385 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 23.2% (male 12,953,719/female 11,579,690) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 68.5% (male 36,591,845/female 35,887,201) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 8.3% (2024 est.) (male 3,563,611/female 5,182,909) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 46.4 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 33.6 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 12.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 7.8 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 7.8 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 33.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 32 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 32.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 34.2 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 34.2 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.86% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 14.58 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.81 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.21 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | though it has one of the highest population densities in... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 39.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.7% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 9.321 million Ho Chi Minh City, 5.253 million HANOI... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 9.321 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.1 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.12 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.12 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.02 |
| +91 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM OpenFactBook - Religions
— 1 rows, 6 columns
Loading data…
Field details — 22 fields (type, nulls, unique, samples)
Standards-Aligned Fields (6)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_buddhist_pct_synth |
Buddhist | numeric | CCL | 0% | - | 5.8 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.8 |
composition_ethnicity_primary_label_synth |
Kinh (Viet) | string | CCL | 0% | - | Kinh (Viet) |
Extension Fields (4)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Catholic 6.1%, Buddhist 5.8%, Protestant 1%, other 0.8%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 6.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/vm.json |
Pending (12) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_catholic_pct_synth |
Catholic | numeric | 0% | - | 6.1 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 1.0 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 86.3 |
composition_ethnicity_kinh_viet_pct_synth |
Kinh (Viet) | numeric | 0% | - | 85.3 |
composition_ethnicity_tay_pct_synth |
Tay | numeric | 0% | - | 1.9 |
composition_ethnicity_thai_pct_synth |
Thai | numeric | 0% | - | 1.9 |
composition_ethnicity_muong_pct_synth |
Muong | numeric | 0% | - | 1.5 |
composition_ethnicity_khmer_pct_synth |
Khmer | numeric | 0% | - | 1.4 |
composition_ethnicity_mong_pct_synth |
Mong | numeric | 0% | - | 1.4 |
composition_ethnicity_nung_pct_synth |
Nung | numeric | 0% | - | 1.1 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 5.5 |
composition_ethnicity_primary_share_pct_synth |
Kinh (Viet) | numeric | 0% | - | 85.3 |
VNM OpenFactBook - Space
— 1 rows, 8 columns
Loading data…
Field details — 11 fields (type, nulls, unique, samples)
Standards-Aligned Fields (3)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (8)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Vietnam National Space Center (VNSC; established 2011) (2025) |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2011.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a growing national space program focused on... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1980 - first Vietnamese astronaut/cosmonaut into space... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1980.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/vm.json |
VNM OpenFactBook - Transportation
— 1 rows, 30 columns
Loading data…
Field details — 33 fields (type, nulls, unique, samples)
Standards-Aligned Fields (4)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 36.0 |
country_code |
Country code | string | SEL | 0% | 1 | VNM |
country_name |
Country name | string | SEL | 0% | 1 | Vietnam |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
Extension Fields (29)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | VN |
airports_text |
airports_text | string | 0% | 1 | 36 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 26 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 26.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 2,600 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 2600.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 178 km (2014) 1.435-m gauge; 253 km mixed gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 178.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 2,169 km (2014) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 2169.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 1,973 (2022) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 1973.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 117, container ship 45, general cargo... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 117.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 16 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 16.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 6 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 6.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 9 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 9.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 12 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 12.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Da Nang, Hai Phong, Nghe Tinh, Nha Trang, Thanh Ho Chi... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/vm.json |
VNM D-PLACE
VNM-DPLACE
Ethnographic Societies
or use the per-admin-level buttons below. Free downloads return a 10-row sample.
Contact us for the full pack.
0
Admin 0
— 2 table(s)
VNM D-PLACE - Dplace Ea Societies
— 6 rows, 23 columns
Loading data…
Field details — 23 fields (type, nulls, unique, samples)
Standards-Aligned Fields (12)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
society_id |
Society id | string | CCL | 0% | 6 | Ed14, Ej10, Ej11, Ej13, Ej2 |
society_name |
Society name | string | CCL | 0% | 6 | Man, Rade, Cham, Muong, Mnong Gar |
language_glottocode |
Language glottocode | string | CCL | 0% | 6 | kimm1245, rade1240, east2563, muon1246, east2333 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 5 | EA017:4; EA018:4; EA019:1; EA020:1; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 6 | EA006:1; EA007:8; EA008:7; EA009:2; EA023:NA; EA025:NA,... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 6 | EA001:0; EA002:1; EA003:1; EA004:1; EA005:7; EA028:NA;... |
political_complexity |
Political complexity | string | CCL | 0% | 4 | EA032:NA; EA033:NA, EA032:3; EA033:1, EA032:3; EA033:3,... |
religion_importance |
Religion importance | string | CCL | 0% | 6 | EA034:NA; EA112:NA, EA034:1; EA112:8, EA034:1; EA112:3,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 4 | EA010:8; EA011:1; EA012:8; EA013:3; EA014:9, EA010:5;... |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 6 | EA030:NA; EA031:NA, EA030:6; EA031:NA, EA030:6; EA031:5,... |
Extension Fields (11)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Vietnam, Vietnam, Vietnam, Vietnam, Vietnam |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 6 | 22.0, 13.0, 11.0, 21.0, 12.0 |
longitude |
longitude | float | 0% | 3 | 105.0, 108.0, 108.0, 105.0, 107.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and... |
source_url |
source_url | string | 0% | 1 | https://d-place.org, https://d-place.org,... |
license |
license | string | 0% | 1 | CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
VNM D-PLACE - Dplace Ea Societies Decoded
— 6 rows, 49 columns
Loading data…
Field details — 49 fields (type, nulls, unique, samples)
Standards-Aligned Fields (5)
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | VNM, VNM, VNM, VNM, VNM |
society_id |
society_id | string | CCL | 0% | 6 | Ed14, Ej10, Ej11, Ej13, Ej2 |
society_name |
society_name | string | CCL | 0% | 6 | Man, Rade, Cham, Muong, Mnong Gar |
language_glottocode |
language_glottocode | string | CCL | 0% | 6 | kimm1245, rade1240, east2563, muon1246, east2333 |
language_name |
language_name | string | CCL | 0% | 1 | , , , , |
Extension Fields (44)
— supplemental data preserved outside core SEL/CCL schema
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Vietnam, Vietnam, Vietnam, Vietnam, Vietnam |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 6 | 22.0, 13.0, 11.0, 21.0, 12.0 |
longitude |
longitude | float | 0% | 3 | 105.0, 108.0, 108.0, 105.0, 107.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and... |
source_url |
source_url | string | 0% | 1 | https://d-place.org, https://d-place.org,... |
license |
license | string | 0% | 1 | CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024, 2024, 2024, 2024, 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 17% | 1 | 3, 3, 3, 3, 3 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 17% | 3 | 1, 3, 3, 1, 5 |
religion_high_gods |
religion_high_gods | integer | 17% | 1 | 1, 1, 1, 1, 1 |
trance_states |
trance_states | integer | 33% | 4 | 8, 3, 1, 4 |
settlement_patterns |
settlement_patterns | integer | 17% | 4 | 6, 6, 5, 4, 7 |
mean_size_of_local_communities |
mean_size_of_local_communities | integer | 50% | 3 | 5, 3, 8 |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 3 | 8, 5, 5, 9, 5 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 2 | 1, 3, 3, 1, 3 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 2 | 8, 5, 5, 8, 5 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 2 | 3, 9, 9, 9, 9 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 2 | 9, 11, 11, 11, 11 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 2 | 4, 1, 1, 4, 1 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 2 | 4, 1, 1, 4, 1 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 4 | 1, 5, 3, 1, 4 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 4 | 1, 5, 3, 1, 4 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 1 | 9, 9, 9, 9, 9 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9, 9, 9, 9, 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 33% | 2 | 1, 4, 1, 4 |
descent_major_type |
descent_major_type | integer | 0% | 2 | 1, 3, 3, 1, 3 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
VNM INFORM Risk Index (EC-JRC)
VNM-INFORM
Risk Index
1 rows × 271 columns ingested. Field-level inventory in progress —
contact us for the full export.
0
Admin 0
— 1 table(s)
VNM Inform - Risk Index
— 1 rows, 271 columns
Loading data…
Field details — 271 fields (type, nulls, unique, samples)
Pending (271) — awaiting mapping
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | VNM |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 251758.8 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.2 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.25149729562698 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 310070.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.05 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.0879433555326343 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 4.8 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 3.35860514640808 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 4.3 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 2.8 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 4.0 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 7.8 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 0.5 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 0.3 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 0.7 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 0.5 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 7.2 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 1.5 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 3.7 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 0.0 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 0.8 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 1.6 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 2.8 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 0.2 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 7.6 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 0.5 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 5.6 |
inform_cc_ins_gov |
Governance | float | 0% | 1 | 5.6 |
inform_cc_ins_gov_cpi |
Corruption Perception Index [CC.INS.GOV.CPI] | float | 0% | 1 | 6.0 |
| +241 more pending fields — download the CSV/Parquet to see them all. | |||||