Vietnam

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

71,236 rows · 1 table(s) · 2024 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) · 2024 HDX 0 1 2 3 ▶

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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) · 2024 HDX 0 1 2 3 ▶

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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) · 2024 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) · 2024 HDX 0 1 2 3 ▶

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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) · 2024 HDX 0 1 2 3 ▶

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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) · 2024 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) · 2024 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) · 2024 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) · 2024 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 - Urban Development — 635 rows, 18 columns

Loading data…

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) · 2024 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 - 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) · 2024 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) · 2024 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 - 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) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

VNM 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) · 2024 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

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	VNM
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Vietnam
`admin_code`	Admin code	string	SEL	0%	1	46766057B20227385519093
`area_sqkm`	Area sqkm	float	SEL	0%	1	331077.7683
`pop_2024`	Population count	integer	SEL	0%	1	105541467
`pop_density_2024`	Population density	float	SEL	0%	1	318.78

1 Admin 1 — 1 table(s)

VNM LandScan - Population Admin1 (admin_1) — 64 rows, 7 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	VNM, VNM, VNM, VNM, VNM
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	64	Ho Chi Minh, Hà Nội , Thanh Hóa, Nghệ An, Đồng Nai
`admin_code`	Admin code	string	SEL	0%	64	63759600B80663352659785, 63759600B97268694287734,...
`area_sqkm`	Area sqkm	float	SEL	0%	64	2091.088, 3213.9268, 10485.8883, 16546.7047, 6028.4678
`pop_2024`	Population count	integer	SEL	0%	64	9868137, 8999984, 3925808, 3563446, 3457472
`pop_density_2024`	Population density	float	SEL	0%	64	4719.14, 2800.31, 374.39, 215.36, 573.52

Locality Locality — 1 table(s)

VNM LandScan - Cities (locality) — 128 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	VNM, VNM, VNM, VNM, VNM
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	100	Ho Chi Minh City, Hanoi, Đà Nẵng, Hải Phòng, Cần Thơ
`admin_code`	Admin code	integer	SEL	0%	100	5239, 1999, 5294, 3874, 4768
`area_sqkm`	Area sqkm	float	SEL	0%	100	1477.7437, 920.3834, 223.7227, 219.8919, 326.9289
`pop_2024`	Population count	integer	SEL	0%	100	12477517, 5837149, 1149761, 1099682, 732223
`pop_density_2024`	Population density	float	SEL	0%	100	8443.63, 6342.08, 5139.22, 5001.01, 2239.7

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

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	100	14557830, 4965520, 1178696, 922307, 1652649
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	97	0.857, 1.176, 0.975, 1.192, 0.443

VNM World Bank Open Data VNM-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 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) · 2025 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) · 2024 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 UNHCR Refugee Data Finder VNM-UNHCR Migration

110 rows · 2 table(s) · 2025 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 — 52 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 — 58 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 HDX COD — Population Statistics (OCHA/UNFPA) VNM-COD_PS Census Derived Population

64 rows · 2 table(s) · 2024 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) · 2022 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) · 2024 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) · 2024 HDX 0 1 2 3 ▶

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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) · 2024 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, 21 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, 151 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, 54 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, 8 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, 57 columns

Loading data…

Field details — 61 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	331210.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	310070.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	21140.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	4616.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	3444.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	3144.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	39.2
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	47.0
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	46000.0
`country_code`	Country code	string	SEL	0%	1	VNM
`country_name`	Country name	string	SEL	0%	1	Vietnam
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (48) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southeastern Asia, bordering the Gulf of Thailand, Gulf...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	16 10 N, 107 50 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	16.0
`map_references_text`	map_references_text	string	0%	1	Southeast Asia
`area_total_text`	area_total_text	string	0%	1	331,210 sq km
`area_land_text`	area_land_text	string	0%	1	310,070 sq km
`area_water_text`	area_water_text	string	0%	1	21,140 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	about three times the size of Tennessee; slightly larger...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	4,616 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Cambodia 1,158 km; China 1,297 km; Laos 2,161 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	1158.0
`coastline_text`	coastline_text	string	0%	1	3,444 km (excludes islands)
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	200 nm or to the edge of the continental margin
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical in south; monsoonal in north with hot, rainy...
`terrain_text`	terrain_text	string	0%	1	low, flat delta in south and north; central highlands;...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Fan Si Pan 3,144 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	South China Sea 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	398 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	398.0
`natural_resources_text`	natural_resources_text	string	0%	1	antimony, phosphates, coal, manganese, rare earth...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	39.2% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 21.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	21.5
+18 more extension fields — download the CSV/Parquet to see them all.

VNM OpenFactBook - Government — 1 rows, 80 columns

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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, 6 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, 23 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, 137 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, 6 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, 8 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, 30 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) · 2026 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) · 2024 D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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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) · 2025 GI-TOC / ENACT 0 1 2 3 13 CCL 22 ext ▶

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0 Admin 0 — 1 table(s)

VNM Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 139 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	CCL	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	CCL	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	CCL	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	CCL	0%	1	-
`oc_criminality`	oc_criminality	numeric	CCL	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	CCL	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	CCL	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	CCL	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	CCL	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	CCL	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	CCL	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	CCL	0%	1	-
`oc_resilience`	oc_resilience	numeric	CCL	0%	1	-

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
`oc_state_embedded_actors`	oc_state_embedded_actors	numeric	0%	1	-
`oc_synthetic_drug_trade`	oc_synthetic_drug_trade	numeric	0%	1	-
`oc_territorial_integrity`	oc_territorial_integrity	numeric	0%	1	-
`oc_trade_in_counterfeit_goods`	oc_trade_in_counterfeit_goods	numeric	0%	1	-

Pending (104) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	VNM
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	75
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	float	0%	1	5.5
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	float	0%	1	5.5
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	106
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	float	0%	1	4.5
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	integer	0%	1	4
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	114
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	float	0%	1	4.5
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	float	0%	1	4.5
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	111
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	integer	0%	1	4
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	integer	0%	1	4
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	38
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	6.6
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	6.5
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	23
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	6.5
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	6.05
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	34
`oc_criminal_networks_2023`	oc_criminal_networks_2023	integer	0%	1	7
`oc_criminal_networks_2021`	oc_criminal_networks_2021	integer	0%	1	7
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	32
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	6.55
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	6.28
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	23
+74 more pending fields — download the CSV/Parquet to see them all.

VNM World Values Survey VNM-WVS Attitudes Values

1 rows · 1 table(s) · 2022 World Values Survey 0 1 2 3 1 SEL 25 ext ▶

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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