Vietnam

VNM Viet Nam - Economic, Social, Environmental, Health VNM-HDX-Viet_Nam_-_Economic,_Social,_Enviro Indicators

71,236 rows · 1 table(s) HDX 0 1 2 3 ▶

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VNM Viet Nam - Economic, Social, Environmental, Health — 71,236 rows, 3,455 columns

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Field details — 3455 fields (type, nulls, unique, samples)

Extension Fields (3455) — 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
+3425 more extension fields — download the CSV/Parquet to see them all.

VNM Vietnam - Economic, Social, Environmental, Health, VNM-HDX-Vietnam_-_Economic,_Social,_Environ Indicators

67,966 rows · 1 table(s) HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VNM Vietnam - Economic, Social, Environmental, Health, — 67,966 rows, 3,587 columns

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Field details — 3587 fields (type, nulls, unique, samples)

Extension Fields (3587) — 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
+3557 more extension fields — download the CSV/Parquet to see them all.

VNM Viet Nam - Health Indicators VNM-HDX-Viet_Nam_-_Health_Indicators Indicators

26,524 rows · 1 table(s) HDX 0 1 2 3 ▶

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

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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

13,802 rows · 1 table(s) HDX 0 1 2 3 ▶

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

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Field details — 824 fields (type, nulls, unique, samples)

Extension Fields (824) — 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
+794 more extension fields — download the CSV/Parquet to see them all.

VNM Vietnam - Education VNM-HDX-Vietnam_-_Education Indicators

12,799 rows · 1 table(s) HDX 0 1 2 3 ▶

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

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Field details — 810 fields (type, nulls, unique, samples)

Extension Fields (810) — 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
+780 more extension fields — download the CSV/Parquet to see them all.

VNM Vietnam - Social Protection and Labor VNM-HDX-Vietnam_-_Social_Protection_and_Lab Indicators

7,263 rows · 1 table(s) HDX 0 1 2 3 ▶

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 — 1324 fields (type, nulls, unique, samples)

Extension Fields (1324) — 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
+1294 more extension fields — download the CSV/Parquet to see them all.

VNM Vietnam - Gender VNM-HDX-Vietnam_-_Gender Indicators

5,710 rows · 1 table(s) HDX 0 1 2 3 ▶

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 — 232 fields (type, nulls, unique, samples)

Extension Fields (232) — 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
+202 more extension fields — download the CSV/Parquet to see them all.

VNM Viet Nam - Gender VNM-HDX-Viet_Nam_-_Gender Indicators

4,160 rows · 1 table(s) HDX 0 1 2 3 ▶

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 — 189 fields (type, nulls, unique, samples)

Extension Fields (189) — 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
+159 more extension fields — download the CSV/Parquet to see them all.

VNM Vietnam - Social Development VNM-HDX-Vietnam_-_Social_Development Indicators

844 rows · 1 table(s) HDX 0 1 2 3 ▶

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 — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — 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
+5 more extension fields — download the CSV/Parquet to see them all.

VNM Viet Nam - Urban Development VNM-HDX-Viet_Nam_-_Urban_Development Indicators

635 rows · 1 table(s) HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VNM Viet Nam - Urban Development — 635 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Extension Fields (18) — 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

VNM Vietnam - Urban Development VNM-HDX-Vietnam_-_Urban_Development Indicators

618 rows · 1 table(s) HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VNM Vietnam - Urban Development — 618 rows, 20 columns

Loading data…

Field details — 20 fields (type, nulls, unique, samples)

Extension Fields (20) — 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

VNM Viet nam - Demographic, Health, Education and Tran VNM-HDX-Viet_nam_-_Demographic,_Health,_Edu Indicators

443 rows · 1 table(s) HDX 0 1 2 3 ▶

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

313 rows · 1 table(s) HDX 0 1 2 3 ▶

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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 Global Data Lab VNM-GDL Development Indices

238 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

VNM GDL - Subnational Indices — 238 rows, 11 columns

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Field details — 11 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
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	7	Total, Central Highlands, Mekong River Delta, North...
`human_development_index`	Human development index	float	SEL	0%	84	0.533, 0.513, 0.484, 0.53, 0.497
`health_index`	Health index	float	SEL	0%	74	0.754, 0.733, 0.74, 0.765, 0.703
`education_index`	Education index	float	SEL	0%	85	0.427, 0.402, 0.355, 0.43, 0.402
`income_index`	Income index	float	SEL	0%	83	0.471, 0.458, 0.431, 0.453, 0.435
`life_expectancy`	Life expectancy	float	SEL	0%	97	69.03, 67.63, 68.1, 69.72, 65.71
`mean_years_schooling`	Mean years schooling	float	SEL	0%	95	6.407, 6.183, 5.071, 6.241, 5.91

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	15	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

VNM LandScan Global (ORNL) VNM-LANDSCAN Modeled Population

193 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

VNM LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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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

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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

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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 UNHCR Refugee Data Finder VNM-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

VNM UNHCR - Hosted Populations — 75 rows, 24 columns

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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 — 75 rows, 24 columns

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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 World Bank Open Data VNM-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

VNM World Bank - Development Indicators — 66 rows, 9 columns

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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

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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 GHS Urban Centre Database (EU JRC) VNM-GHSL_UCDB Modeled Population

128 rows · 1 table(s) GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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Locality Locality — 1 table(s)

VNM GHS-UCDB - Cities (locality) — 128 rows, 10 columns

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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

120 rows · 1 table(s) Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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0 Admin 0 — 1 table(s)

VNM Glottolog - Languages — 120 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

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%	-	-
`country_codes`	Country codes	string	SEL+	0%	12	['CN', 'LA', 'MM', 'TH', 'VN'], ['LA', 'VN'], ['VN'],...
`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 (3) — 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
`classification`	classification	string	0%	1	[], [], [], [], []

VNM HDX COD — Population Statistics (OCHA/UNFPA) VNM-COD_PS Census Derived Population

64 rows · 2 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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0 Admin 0 — 1 table(s)

VNM Cod Ps - Vnm Codps (admin_0) — 1 rows, 59 columns

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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

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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

63 rows · 1 table(s) Google 0 1 2 3 3 SEL 8 ext ▶

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1 Admin 1 — 1 table(s)

VNM Mobility by Region — 63 rows, 11 columns

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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

43 rows · 1 table(s) HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

VNM Viet Nam - National Demographic And Health Data — 43 rows, 29 columns

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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

34 rows · 1 table(s) HDX 0 1 2 3 ▶

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

15 rows · 15 table(s) OpenFactBook 0 1 2 3 96 SEL 3 CCL 619 ext ▶

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0 Admin 0 — 15 table(s)

VNM OpenFactBook - Communications — 1 rows, 22 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

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_country_code_text`	Internet country code text	string	SEL+	0%	1	.vn
`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 (14) — 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_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, 156 columns

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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

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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, 60 columns

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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, 9 columns

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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, 61 columns

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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, 103 columns

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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, 7 columns

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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

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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

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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, 27 columns

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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, 150 columns

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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, 22 columns

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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, 11 columns

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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, 33 columns

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Field details — 33 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	VN
`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 (28) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`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 NGA GEOnet Names Server (GNS) VNM-NGA_GNS Language

8 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 24 ext ▶

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 Nga Gns - Language — 7 rows, 9 columns

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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	40421, 106, 43, 18, 16
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	7	99.5223, 0.261, 0.1059, 0.0443, 0.0394
`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

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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	99.9827
`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	86924
`gns_feature_count`	gns_feature_count	integer	0%	1	66112
`gns_endonym_count`	gns_endonym_count	integer	0%	1	86909
`gns_exonym_count`	gns_exonym_count	integer	0%	1	15
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	7253
`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	56304
`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	9171
`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	12810
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	11770
`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	908
`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 D-PLACE VNM-DPLACE Ethnographic Societies

6 rows · 1 table(s) D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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 D-PLACE - Dplace Ea Societies — 6 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

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%	6	EA001:0; EA002:1; EA003:1; EA004:1; EA005:7, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	6	EA006:1; EA007:8; EA008:7; EA009:2; EA010:8, EA006:7;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	6	EA028:NA; EA029:NA; EA030:NA; EA031:NA; EA032:NA,...
`political_complexity`	Political complexity	string	CCL	0%	4	EA033:NA; EA034:NA; EA035:NA, EA033:1; EA034:1;...
`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%	3	EA011:1; EA012:8; EA013:3, EA011:3; EA012:5; EA013:9,...

Extension Fields (7) — 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

VNM Global Organized Crime Index VNM-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

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 Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

VNM World Values Survey VNM-WVS Attitudes Values

1 rows · 1 table(s) World Values Survey 0 1 2 3 1 SEL 25 ext ▶

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 WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 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

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Vietnamese (vie)	40,421	99.5%	—
Lao (lao)	106	0.3%	—
Khmer (khm)	43	0.1%	Khmer

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
HDX (Humanitarian Data Exchange)	international_organization	bulk_download
Global Data Lab	academic	api
Google	commercial	bulk_download
World Values Survey	academic	metadata_catalog
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download