Thailand

THA Thailand - Economic, Social, Environmental, Health THA-HDX-Thailand_-_Economic,_Social,_Enviro Indicators

87,417 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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THA Thailand - Economic, Social, Environmental, Health — 87,417 rows, 3,270 columns

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Field details — 3271 fields (type, nulls, unique, samples)

Extension Fields (3271) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	THA
`Fertilizer_consumption_pct_of_fertilizer_production`	Fertilizer_consumption_pct_of_fertilizer_production	float	0%	1	423.26635318055
`Fertilizer_consumption_kilograms_per_hectare_of_arable_land`	Fertilizer_consumption_kilograms_per_hectare_of_arable_land	float	0%	1	287.332398706679
`Agricultural_land_sq._km`	Agricultural_land_sq._km	float	0%	1	223760.0
`Agricultural_land_pct_of_land_area`	Agricultural_land_pct_of_land_area	float	0%	1	43.7980778641195
`Arable_land_hectares`	Arable_land_hectares	float	0%	1	15835200.0
`Arable_land_hectares_per_person`	Arable_land_hectares_per_person	float	0%	1	0.220846056343833
`Arable_land_pct_of_land_area`	Arable_land_pct_of_land_area	float	0%	1	30.9953218892521
`Land_under_cereal_production_hectares`	Land_under_cereal_production_hectares	float	0%	1	12544291.0
`Permanent_cropland_pct_of_land_area`	Permanent_cropland_pct_of_land_area	float	0%	1	11.2368611638513
`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	17671.4169857
`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	3.4555076912689
`Forest_area_sq._km`	Forest_area_sq._km	float	0%	1	197650.0
`Forest_area_pct_of_land_area`	Forest_area_pct_of_land_area	float	0%	1	38.6873886746658
`Average_precipitation_in_depth_mm_per_year`	Average_precipitation_in_depth_mm_per_year	float	0%	1	1622.0
`Land_area_sq._km`	Land_area_sq._km	float	0%	1	510890.0
`Rural_land_area_sq._km`	Rural_land_area_sq._km	float	0%	1	491891.9109971
`Cereal_production_metric_tons`	Cereal_production_metric_tons	float	0%	1	38532088.18
`Crop_production_index_2014-2016_=_100`	Crop_production_index_2014-2016_=_100	float	0%	1	106.6
`Food_production_index_2014-2016_=_100`	Food_production_index_2014-2016_=_100	float	0%	1	104.2
`Livestock_production_index_2014-2016_=_100`	Livestock_production_index_2014-2016_=_100	float	0%	1	103.25
`Surface_area_sq._km`	Surface_area_sq._km	float	0%	1	513115.021
`Cereal_yield_kg_per_hectare`	Cereal_yield_kg_per_hectare	float	0%	1	3071.7
`Access_to_electricity_rural_pct_of_rural_population`	Access_to_electricity_rural_pct_of_rural_population	float	0%	1	100.0
`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	2.82043269411516
`Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal	float	0%	1	90.37448086
`Agriculture_forestry_and_fishing_value_added_current_USusd`	Agriculture_forestry_and_fishing_value_added_current_USusd	float	0%	1	45865619933.0314
`Agriculture_forestry_and_fishing_value_added_pct_of_GDP`	Agriculture_forestry_and_fishing_value_added_pct_of_GDP	float	0%	1	8.7111266189882
`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	24.8174803830863
`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	31.719704411814
+3241 more extension fields — download the CSV/Parquet to see them all.

THA Thailand - Health Indicators THA-HDX-Thailand_-_Health_Indicators Indicators

24,529 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

THA Thailand - Health Indicators — 24,529 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%	68	AIR_7, MORT_100, NCD_BMI_PLUS1C, NCD_BMI_MINUS2C, NUT_CF_MMF
`GHO (DISPLAY)`	GHO (DISPLAY)	string	0%	68	Ambient air pollution attributable DALYs, Number of...
`GHO (URL)`	GHO (URL)	string	0%	66	https://www.who.int/data/gho/data/indicators/indicator-de...
`YEAR (DISPLAY)`	YEAR (DISPLAY)	string	0%	32	2018, 2002, 2014, 2013, 2019
`STARTYEAR`	STARTYEAR	string	0%	32	2018, 2002, 2014, 2013, 2019
`ENDYEAR`	ENDYEAR	string	0%	32	2018, 2002, 2014, 2013, 2019
`REGION (CODE)`	REGION (CODE)	string	0%	1	SEAR, SEAR, SEAR, SEAR, SEAR
`REGION (DISPLAY)`	REGION (DISPLAY)	string	0%	1	South-East Asia, South-East Asia, South-East Asia,...
`COUNTRY (CODE)`	COUNTRY (CODE)	string	0%	1	THA, THA, THA, THA, THA
`COUNTRY (DISPLAY)`	COUNTRY (DISPLAY)	string	0%	1	Thailand, Thailand, Thailand, Thailand, Thailand
`DIMENSION (TYPE)`	DIMENSION (TYPE)	string	10%	11	SEX, SEX, SEX, SEX, EDUCATIONLEVEL
`DIMENSION (CODE)`	DIMENSION (CODE)	string	10%	29	SEX_MLE, SEX_BTSX, SEX_BTSX, SEX_MLE,...
`DIMENSION (NAME)`	DIMENSION (NAME)	string	10%	28	Male, Both sexes, Both sexes, Male, None and primary education
`Numeric`	Numeric	string	13%	85	75590.488, 1484.11167, 20.421997, 8.4584892, 89.3
`Value`	Value	string	0%	90	75 590 [43 790-107 516], 1484.1, 20.4 [19.2-21.7], 8.5...
`Low`	Low	float	39%	60	43790.451, 19.194393, 7.2853938, 85.4, 181.4
`High`	High	float	39%	60	107516.042, 21.678594, 9.7346835, 92.2, 241.3

THA HDX HAPI Data for Thailand THA-HDX-HDX_HAPI_Data_for_Thailand Indicators

18,616 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

THA HDX HAPI Data for Thailand — 18,616 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`origin_location_code`	origin_location_code	string	0%	5	AFG, AFG, AFG, AFG, AFG
`origin_has_hrp`	origin_has_hrp	string	0%	2	True, True, True, True, True
`origin_in_gho`	origin_in_gho	string	0%	2	True, True, True, True, True
`asylum_location_code`	asylum_location_code	string	0%	1	THA, THA, THA, THA, THA
`asylum_has_hrp`	asylum_has_hrp	string	0%	1	False, False, False, False, False
`asylum_in_gho`	asylum_in_gho	string	0%	1	False, False, False, False, False
`population_group`	population_group	string	0%	2	ASY, ASY, ASY, ASY, ASY
`gender`	gender	string	0%	3	f, f, f, f, f
`age_range`	age_range	string	0%	6	0-4, 5-11, 12-17, 18-59, 60+
`min_age`	min_age	string	0%	6	0, 5, 12, 18, 60
`max_age`	max_age	string	0%	5	4, 11, 17, 59, None
`population`	population	string	0%	26	0, 0, 0, 7, 0
`reference_period_start`	reference_period_start	string	0%	1	2020-01-01, 2020-01-01, 2020-01-01, 2020-01-01, 2020-01-01
`reference_period_end`	reference_period_end	string	0%	1	2020-12-31, 2020-12-31, 2020-12-31, 2020-12-31, 2020-12-31

THA Thailand - Education THA-HDX-Thailand_-_Education Indicators

14,762 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

THA Thailand - Education — 14,762 rows, 878 columns

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Field details — 879 fields (type, nulls, unique, samples)

Extension Fields (879) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	THA
`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	2.47
`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	2.46
`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	3.82
`Barro-Lee:_Percentage_of_population_age_15+_with_no_education`	Barro-Lee:_Percentage_of_population_age_15+_with_no_education	float	0%	1	3.44
`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	2.47
`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	2.46
`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	3.7
`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	4.07
`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	4.1
`Barro-Lee:_Percentage_of_population_age_25+_with_no_education`	Barro-Lee:_Percentage_of_population_age_25+_with_no_education	float	0%	1	3.66
`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	2.52
`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	2.91
`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	1.75
`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	1.94
`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	1.24
`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	1.37
`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	2.58
`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	2.33
`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	3.56
`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	3.1
`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	3.95
`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	3.3
`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	4.64
`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	3.83
`Barro-Lee:_Population_in_thousands_age_15-19_total`	Barro-Lee:_Population_in_thousands_age_15-19_total	float	0%	1	5245.0
`Barro-Lee:_Population_in_thousands_age_15-19_female`	Barro-Lee:_Population_in_thousands_age_15-19_female	float	0%	1	2597.0
`Barro-Lee:_Population_in_thousands_age_15+_total`	Barro-Lee:_Population_in_thousands_age_15+_total	float	0%	1	51912.0
`Barro-Lee:_Population_in_thousands_age_15+_female`	Barro-Lee:_Population_in_thousands_age_15+_female	float	0%	1	26746.0
`Barro-Lee:_Population_in_thousands_age_20-24_total`	Barro-Lee:_Population_in_thousands_age_20-24_total	float	0%	1	5360.0
+849 more extension fields — download the CSV/Parquet to see them all.

THA Thailand - Social Protection and Labor THA-HDX-Thailand_-_Social_Protection_and_La Indicators

9,401 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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THA Thailand - Social Protection And Labor — 9,401 rows, 1,067 columns

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Field details — 1068 fields (type, nulls, unique, samples)

Extension Fields (1068) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	THA
`Adequacy_of_benefits_in_extreme_poor_<usd2.15_a_day_pct_-All_Social_Protection_a`	Adequacy_of_benefits_in_extreme_poor_<usd2.15_a_day_pct_-All_Social_Protection_a	float	0%	1	14.1702576054903
`Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-rural`	Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-rural	float	0%	1	73.3922331259547
`Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-urban`	Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-urban	float	0%	1	81.4972070835447
`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	67.4578013753521
`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	70.4645821736462
`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	29.0197540385186
`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	44.3398046740306
`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	64.7062919379438
`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	60.5885875004644
`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	44.2476534654564
`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	61.5564916213638
`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	89.8777622071532
`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	62.0526366301106
`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	57.9125255042098
`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	83.4556010004489
`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	92.3515040474682
`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	78.4469630960978
`Average_per_capita_transfer_held_by_extreme_poor_<usd2.15_a_day_-All_Social_Prot`	Average_per_capita_transfer_held_by_extreme_poor_<usd2.15_a_day_-All_Social_Prot	float	0%	1	0.291666865348816
`Average_per_capita_transfer_-All_Social_Protection_and_Labor_-rural`	Average_per_capita_transfer_-All_Social_Protection_and_Labor_-rural	float	0%	1	11.8333665518774
`Average_per_capita_transfer_-All_Social_Protection_and_Labor`	Average_per_capita_transfer_-All_Social_Protection_and_Labor	float	0%	1	16.3414367821998
`Average_per_capita_transfer_-All_Social_Protection_and_Labor_-urban`	Average_per_capita_transfer_-All_Social_Protection_and_Labor_-urban	float	0%	1	20.5857601078902
`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	4.73302976860292
`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	7.72707278347403
`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	14.8784044813301
`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	21.2771379579
`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	33.3248055212988
`Benefits_incidence_in_extreme_poor_<usd2.15_a_day_pct_-All_Social_Protection_and`	Benefits_incidence_in_extreme_poor_<usd2.15_a_day_pct_-All_Social_Protection_and	float	0%	1	0.0
`Benefits_incidence_in_1st_quintile_poorest_pct_-All_Social_Protection_and_Labor_`	Benefits_incidence_in_1st_quintile_poorest_pct_-All_Social_Protection_and_Labor_	float	0%	1	2.37182064951307
`Benefits_incidence_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_preT`	Benefits_incidence_in_2nd_quintile_pct_-All_Social_Protection_and_Labor_preT	float	0%	1	10.0990700653651
+1038 more extension fields — download the CSV/Parquet to see them all.

THA Thailand - Gender THA-HDX-Thailand_-_Gender Indicators

4,335 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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THA Thailand - Gender — 4,335 rows, 181 columns

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Field details — 182 fields (type, nulls, unique, samples)

Extension Fields (182) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	THA
`Firms_with_female_top_manager_pct_of_firms`	Firms_with_female_top_manager_pct_of_firms	float	0%	1	64.84489441
`Firms_with_female_participation_in_ownership_pct_of_firms`	Firms_with_female_participation_in_ownership_pct_of_firms	float	0%	1	64.44339752
`Literacy_rate_youth_female_pct_of_females_ages_15-24`	Literacy_rate_youth_female_pct_of_females_ages_15-24	float	0%	1	98.4300003051758
`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	97.9400024414062
`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	91.4899978637695
`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	90.6699981689453
`School_enrollment_primary_gross_gender_parity_index_GPI`	School_enrollment_primary_gross_gender_parity_index_GPI	float	0%	1	0.992965281009674
`School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI`	School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI	float	0%	1	1.02751123905182
`School_enrollment_secondary_gross_gender_parity_index_GPI`	School_enrollment_secondary_gross_gender_parity_index_GPI	float	0%	1	1.05888855457306
`School_enrollment_tertiary_gross_gender_parity_index_GPI`	School_enrollment_tertiary_gross_gender_parity_index_GPI	float	0%	1	1.25606592688301
`School_enrollment_preprimary_female_pct_gross`	School_enrollment_preprimary_female_pct_gross	float	0%	1	74.3641738891602
`School_enrollment_preprimary_male_pct_gross`	School_enrollment_preprimary_male_pct_gross	float	0%	1	74.3750381469727
`Primary_completion_rate_female_pct_of_relevant_age_group`	Primary_completion_rate_female_pct_of_relevant_age_group	float	0%	1	106.242303607168
`Primary_completion_rate_male_pct_of_relevant_age_group`	Primary_completion_rate_male_pct_of_relevant_age_group	float	0%	1	107.863771915623
`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	71.6529489150172
`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	79.7035194027619
`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	75.4452061182075
`Primary_education_pupils_pct_female`	Primary_education_pupils_pct_female	float	0%	1	48.52339
`School_enrollment_primary_female_pct_gross`	School_enrollment_primary_female_pct_gross	float	0%	1	99.9599469853848
`School_enrollment_primary_male_pct_gross`	School_enrollment_primary_male_pct_gross	float	0%	1	101.462596580922
`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	96.75865
`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	97.08458
`School_enrollment_primary_female_pct_net`	School_enrollment_primary_female_pct_net	float	0%	1	97.85243
`School_enrollment_primary_male_pct_net`	School_enrollment_primary_male_pct_net	float	0%	1	98.30077
`Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population`	Net_intake_rate_in_grade_1_female_pct_of_official_school-age_population	float	0%	1	63.36986
`Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population`	Net_intake_rate_in_grade_1_male_pct_of_official_school-age_population	float	0%	1	62.70631
`Persistence_to_grade_5_female_pct_of_cohort`	Persistence_to_grade_5_female_pct_of_cohort	float	0%	1	99.9496765136719
`Persistence_to_grade_5_male_pct_of_cohort`	Persistence_to_grade_5_male_pct_of_cohort	float	0%	1	97.5978622436523
+152 more extension fields — download the CSV/Parquet to see them all.

THA NGA GEOnet Names Server (GNS) THA-NGA_GNS Language

3,644 rows · 3 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 33 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 — 3 table(s)

THA 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	THA, THA, THA, THA, THA
`gns_language_code`	gns_language_code	string	CCL	0%	7	tha, lao, khm, mfa, eng
`gns_language_name`	gns_language_name	string	CCL	0%	7	Thai, Lao, Khmer, Malay, Pattani, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	7	494307, 95, 71, 23, 9
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	7	99.9583, 0.0192, 0.0144, 0.0047, 0.0018
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	3	246055, 0, 30, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	3	Thai, , Khmr, ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	3	Thai, , Khmer, ,
`gns_script_count`	gns_script_count	integer	CCL	0%	3	2, 0, 1, 0, 0

THA NGA GNS - Summary — 1 rows, 29 columns

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Field details — 29 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	THA
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Thailand
`gns_language_count`	gns_language_count	integer	CCL	0%	1	7
`gns_script_count`	gns_script_count	integer	CCL	0%	1	3
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9985
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	246147

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	535404
`gns_feature_count`	gns_feature_count	integer	0%	1	253451
`gns_endonym_count`	gns_endonym_count	integer	0%	1	535396
`gns_exonym_count`	gns_exonym_count	integer	0%	1	8
`gns_source_build_date`	gns_source_build_date	string	0%	1	Sat, 26 Sep 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-09-26
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	193071
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	87956
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	111358
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	53960
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	30790
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	13997
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	191090
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	93806
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	25
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	24
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	48
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	42
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	58
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	29
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	8964
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	3637

THA NGA GNS - Admin Crosswalk — 3,636 rows, 12 columns

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Field details — 12 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	THA, THA, THA, THA, THA

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	100	415786, -3232491, 11324555, -3246714, -3246738
`admin_designation`	admin_designation	string	0%	2	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	100	Amnat Charoen, Ang Thong, Bueng Kan, Buri Ram, Chachoengsao
`gns_local_name`	gns_local_name	string	0%	100	จังหวัดอำนาจเจริญ, จังหวัดอ่างทอง, จังหวัดบึงกาฬ,...
`iso_3166_2`	iso_3166_2	string	0%	77	TH-37, TH-15, TH-38, TH-31, TH-24
`parent_code`	parent_code	string	0%	19	THA, THA, THA, THA, THA
`gns_prominence_band`	gns_prominence_band	integer	0%	3	9, 9, 3, 9, 3
`latitude`	latitude	float	0%	93	15.916667, 14.6125, 18.1625, 14.85, 13.629167
`longitude`	longitude	float	0%	91	104.75, 100.358333, 103.75, 102.991667, 101.416667
`gns_mgrs`	gns_mgrs	string	0%	100	48PVC7324159734, 47PPS4630315905, 48QUF6778508614,...
`name_variant_count`	name_variant_count	integer	0%	12	4, 6, 4, 8, 8

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

1,006 rows · 3 tables · 2023 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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)

THA COD PS - THA 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	TH
`region_name`	Region name	string	SEL	0%	1	Thailand
`F_TL`	Female population	integer	SEL	0%	1	35455997
`M_TL`	Male population	integer	SEL	0%	1	33938765
`T_TL`	Total population	integer	SEL	0%	1	69394762

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	2023
`year`	year	integer	0%	1	2023
`F_00_04`	Female population age 0-4	integer	0%	1	1773335
`F_05_09`	Female population age 5-9	integer	0%	1	1828335
`F_10_14`	Female population age 10-14	integer	0%	1	1838898
`F_15_19`	Female population age 15-19	integer	0%	1	1924036
`F_20_24`	Female population age 20-24	integer	0%	1	2131537
`F_25_29`	Female population age 25-29	integer	0%	1	2506866
`F_30_34`	Female population age 30-34	integer	0%	1	2481079
`F_35_39`	Female population age 35-39	integer	0%	1	2434471
`F_40_44`	Female population age 40-44	integer	0%	1	2731092
`F_45_49`	Female population age 45-49	integer	0%	1	2760029
`F_50_54`	Female population age 50-54	integer	0%	1	2734093
`F_55_59`	Female population age 55-59	integer	0%	1	2655430
`F_60_64`	Female population age 60-64	integer	0%	1	2376889
`F_65_69`	Female population age 65-69	integer	0%	1	1919154
`F_70_74`	Female population age 70-74	integer	0%	1	1365210
`F_75_79`	Female population age 75-79	integer	0%	1	893086
`F_80Plus`	F_80Plus	integer	0%	1	1102457
`M_00_04`	Male population age 0-4	integer	0%	1	1864486
`M_05_09`	Male population age 5-9	integer	0%	1	1921012
`M_10_14`	Male population age 10-14	integer	0%	1	1930241
`M_15_19`	Male population age 15-19	integer	0%	1	2013094
`M_20_24`	Male population age 20-24	integer	0%	1	2214379
`M_25_29`	Male population age 25-29	integer	0%	1	2585561
`M_30_34`	Male population age 30-34	integer	0%	1	2528428
`M_35_39`	Male population age 35-39	integer	0%	1	2429627
`M_40_44`	Male population age 40-44	integer	0%	1	2709313
`M_45_49`	Male population age 45-49	integer	0%	1	2698928
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

THA COD PS - THA Codps (admin_1) — 77 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%	77	TH37, TH15, TH10, TH38, TH31
`region_name`	Region name	string	SEL	0%	77	Amnat Charoen, Ang Thong, Bangkok, Bueng Kan, Buri Ram
`F_TL`	Female population	integer	SEL	0%	77	91583, 106897, 5883668, 143647, 459143
`M_TL`	Male population	integer	SEL	0%	77	88146, 94295, 5595670, 140084, 429215
`T_TL`	Total population	integer	SEL	0%	77	179729, 201192, 11479338, 283731, 888358

Pending (54) — 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	2023, 2023, 2023, 2023, 2023
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	integer	0%	77	5736, 4955, 224135, 10757, 31742
`F_05_09`	Female population age 5-9	integer	0%	77	6171, 5111, 220157, 11128, 33336
`F_10_14`	Female population age 10-14	integer	0%	77	6527, 5641, 227055, 10252, 32723
`F_15_19`	Female population age 15-19	integer	0%	77	4989, 4825, 309234, 7250, 23875
`F_20_24`	Female population age 20-24	integer	0%	77	2724, 3872, 490628, 4467, 13796
`F_25_29`	Female population age 25-29	integer	0%	77	3481, 4670, 588958, 6267, 16872
`F_30_34`	Female population age 30-34	integer	0%	77	4388, 5100, 538011, 8206, 21628
`F_35_39`	Female population age 35-39	integer	0%	77	5903, 5283, 473289, 9430, 26350
`F_40_44`	Female population age 40-44	integer	0%	77	7140, 6698, 496749, 10360, 31540
`F_45_49`	Female population age 45-49	integer	0%	77	6936, 8339, 463673, 10701, 33494
`F_50_54`	Female population age 50-54	integer	0%	77	7354, 8985, 433726, 11209, 34564
`F_55_59`	Female population age 55-59	integer	0%	76	7547, 9812, 391030, 11195, 37347
`F_60_64`	Female population age 60-64	integer	0%	77	7045, 8817, 336248, 10417, 37360
`F_65_69`	Female population age 65-69	integer	0%	77	5917, 7808, 251431, 8704, 31043
`F_70_74`	Female population age 70-74	integer	0%	77	4062, 6763, 178449, 5481, 21615
`F_75_79`	Female population age 75-79	integer	0%	77	2715, 4516, 109142, 3740, 14555
`F_80Plus`	F_80Plus	integer	0%	77	2948, 5702, 151753, 4083, 17303
`M_00_04`	Male population age 0-4	integer	0%	77	6082, 5157, 229607, 11153, 33014
`M_05_09`	Male population age 5-9	integer	0%	77	6527, 5623, 240164, 11725, 35174
`M_10_14`	Male population age 10-14	integer	0%	77	6719, 5902, 241414, 10749, 34299
`M_15_19`	Male population age 15-19	integer	0%	77	5543, 5511, 326826, 7530, 25232
`M_20_24`	Male population age 20-24	integer	0%	77	3309, 4376, 457686, 5080, 15506
`M_25_29`	Male population age 25-29	integer	0%	77	3690, 5290, 566975, 6725, 17546
`M_30_34`	Male population age 30-34	integer	0%	77	4256, 5128, 540221, 7963, 20332
`M_35_39`	Male population age 35-39	integer	0%	77	5503, 5068, 494802, 9038, 24021
`M_40_44`	Male population age 40-44	integer	0%	76	7002, 6321, 498461, 10441, 29117
`M_45_49`	Male population age 45-49	integer	0%	77	7142, 7461, 463225, 10263, 31090
+24 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

THA COD PS - THA Codps (admin_2) — 928 rows, 58 columns

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Field details — 58 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	TH3702, TH3706, TH3707, TH3701, TH3703
`region_name`	Region name	string	SEL	0%	100	Chanuman, Hua Taphan, Lue Amnat, Mueang Amnat Charoen,...
`F_TL`	Female population	string	SEL	0%	100	12,501, 11,437, 8,975, 32,969, 11,917
`M_TL`	Male population	string	SEL	0%	100	12,488, 10,683, 8,435, 31,637, 11,873
`T_TL`	Total population	string	SEL	0%	100	24,989, 22,120, 17,410, 64,606, 23,790

Pending (53) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	string	0%	99	931, 689, 555, 1,924, 825
`F_05_09`	Female population age 5-9	string	0%	100	1,050, 716, 562, 2,047, 912
`F_10_14`	Female population age 10-14	string	0%	100	1,043, 713, 606, 2,323, 946
`F_15_19`	Female population age 15-19	string	0%	98	699, 529, 436, 1,929, 677
`F_20_24`	Female population age 20-24	string	0%	97	408, 253, 231, 1,098, 382
`F_25_29`	Female population age 25-29	string	0%	98	544, 345, 289, 1,321, 509
`F_30_34`	Female population age 30-34	string	0%	98	693, 466, 375, 1,645, 598
`F_35_39`	Female population age 35-39	string	0%	100	832, 682, 548, 2,168, 835
`F_40_44`	Female population age 40-44	string	0%	100	948, 858, 704, 2,666, 927
`F_45_49`	Female population age 45-49	string	0%	100	855, 865, 697, 2,654, 852
`F_50_54`	Female population age 50-54	string	0%	98	942, 949, 715, 2,702, 887
`F_55_59`	Female population age 55-59	string	0%	99	988, 1,043, 739, 2,612, 938
`F_60_64`	Female population age 60-64	string	0%	99	838, 1,012, 693, 2,532, 792
`F_65_69`	Female population age 65-69	string	0%	99	654, 950, 680, 2,015, 640
`F_70_74`	Female population age 70-74	string	0%	98	465, 590, 484, 1,405, 473
`F_75_79`	Female population age 75-79	string	0%	97	280, 389, 319, 922, 350
`F_80Plus`	F_80Plus	string	0%	100	331, 388, 342, 1,006, 374
`M_00_04`	Male population age 0-4	string	0%	97	992, 731, 554, 2,000, 947
`M_05_09`	Male population age 5-9	string	0%	100	1,045, 792, 604, 2,194, 964
`M_10_14`	Male population age 10-14	string	0%	99	1,048, 785, 629, 2,348, 971
`M_15_19`	Male population age 15-19	string	0%	98	809, 586, 486, 2,118, 739
`M_20_24`	Male population age 20-24	string	0%	100	525, 311, 259, 1,342, 439
`M_25_29`	Male population age 25-29	string	0%	98	586, 335, 301, 1,408, 516
`M_30_34`	Male population age 30-34	string	0%	100	673, 437, 354, 1,588, 592
`M_35_39`	Male population age 35-39	string	0%	99	809, 579, 511, 2,039, 761
`M_40_44`	Male population age 40-44	string	0%	99	942, 767, 717, 2,634, 945
`M_45_49`	Male population age 45-49	string	0%	98	890, 852, 694, 2,737, 905
`M_50_54`	Male population age 50-54	string	0%	100	940, 908, 683, 2,626, 828
+23 more pending fields — download the CSV/Parquet to see them all.

THA Thailand - Human Development Indicators THA-HDX-Thailand_-_Human_Development_Indica Indicators

965 rows · 1 table · 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)

THA Thailand - Human Development Indicators — 965 rows, 49 columns

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Field details — 50 fields (type, nulls, unique, samples)

Extension Fields (50) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	THA
`eys`	eys	float	0%	1	15.359
`eys_f`	eys_f	float	0%	1	15.501
`eys_m`	eys_m	float	0%	1	15.224
`gdi_group`	gdi_group	float	0%	1	1.0
`gii_rank`	gii_rank	float	0%	1	73.0
`gni_pc_f`	gni_pc_f	float	0%	1	18716.639
`gni_pc_m`	gni_pc_m	float	0%	1	22518.74
`gnipc`	gnipc	float	0%	1	20569.902
`hdi_f`	hdi_f	float	0%	1	0.802
`hdi_m`	hdi_m	float	0%	1	0.795
`hdi_rank`	hdi_rank	float	0%	1	76.0
`ineq_edu`	ineq_edu	float	0%	1	15.954
`ineq_inc`	ineq_inc	float	0%	1	21.71
`ineq_le`	ineq_le	float	0%	1	7.34
`le`	le	float	0%	1	76.412
`le_f`	le_f	float	0%	1	80.861
`le_m`	le_m	float	0%	1	72.161
`lfpr_f`	lfpr_f	float	0%	1	60.61
`lfpr_m`	lfpr_m	float	0%	1	76.61
`loss`	loss	float	0%	1	15.163
`mf`	mf	float	0%	1	11.854
`mmr`	mmr	float	0%	1	28.6
`abr`	abr	float	0%	1	26.145
`co2_prod`	co2_prod	float	0%	1	3.682
`coef_ineq`	coef_ineq	float	0%	1	15.001
`mys`	mys	float	0%	1	9.04
`mys_f`	mys_f	float	0%	1	8.87
`mys_m`	mys_m	float	0%	1	9.23
`pop_total`	pop_total	float	0%	1	71.702
+20 more extension fields — download the CSV/Parquet to see them all.

THA Thailand - Risk Assessment Indicators THA-HDX-Thailand_-_Risk_Assessment_Indicato Indicators

928 rows · 1 table · 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)

THA Thailand - Risk Assessment Indicators — 928 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ADM2_PCODE`	ADM2_PCODE	string	0%	100	TH1001, TH1002, TH1003, TH1004, TH1005
`ADM_PCODE`	ADM_PCODE	string	0%	100	TH1001, TH1002, TH1003, TH1004, TH1005
`female_pop`	female_pop	string	0%	100	45959, 77519, 111065, 41532, 170807
`children_u5`	children_u5	string	0%	98	1925, 4219, 12804, 1885, 12644
`female_u5`	female_u5	string	0%	100	963, 2004, 6172, 933, 6183
`elderly`	elderly	string	0%	100	13718, 19906, 24037, 10824, 29932
`pop_u15`	pop_u15	string	0%	100	8093, 15963, 38905, 7767, 38617
`female_u15`	female_u15	string	0%	100	4003, 7775, 18889, 3813, 18844

THA Thailand - Urban Development THA-HDX-Thailand_-_Urban_Development Indicators

621 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

THA Thailand - Urban Development — 621 rows, 18 columns

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Field details — 19 fields (type, nulls, unique, samples)

Extension Fields (19) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	THA
`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	4007.04395499
`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	0.783546176117354
`Urban_land_area_sq._km`	Urban_land_area_sq._km	float	0%	1	19506.66092189
`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	31.0072016277159
`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	140.348088629646
`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	14.6506060086
`Population_living_in_slums_pct_of_urban_population`	Population_living_in_slums_pct_of_urban_population	float	0%	1	2.0
`Population_in_largest_city`	Population_in_largest_city	float	0%	1	11391704.0
`Population_in_the_largest_city_pct_of_urban_population`	Population_in_the_largest_city_pct_of_urban_population	float	0%	1	25.3279557460735
`Population_in_urban_agglomerations_of_more_than_1_million`	Population_in_urban_agglomerations_of_more_than_1_million	float	0%	1	15520484.0
`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	21.6706418441487
`Mortality_caused_by_road_traffic_injury_per_100000_population`	Mortality_caused_by_road_traffic_injury_per_100000_population	float	0%	1	32.2
`Urban_population_growth_annual_pct`	Urban_population_growth_annual_pct	float	0%	1	1.47434839627653
`Urban_population`	Urban_population	float	0%	1	44340234.0
`Urban_population_pct_of_total_population`	Urban_population_pct_of_total_population	float	0%	1	61.8689338391321
`year`	Reference year	integer	0%	-	-

THA Thailand - Demographic, Health, Education and Tran THA-HDX-Thailand_-_Demographic,_Health,_Edu Indicators

354 rows · 1 table · 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)

THA Thailand - Demographic, Health, Education And Tran — 354 rows, 11 columns

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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%	8	Streets, Streets, Crime, Crime, City prosperity
`indicator`	indicator	string	0%	32	composite_street_connectivity_index_city_core,...
`indicator_friendly`	indicator_friendly	string	0%	32	Composite Street Connectivity Index – city core, Road...
`type_data`	type_data	string	0%	5	index, n, 000 population, 000 population, p
`latitude`	latitude	string	0%	4	13.749999, 15, n, n, 13.749999
`longitude`	longitude	string	0%	4	100.516645, 100, 15, 15, 100.516645
`region_id`	region_id	string	0%	2	789, 789, 100, 100, 789
`country_id`	country_id	string	0%	2	TH, TH, 789, 789, TH
`name`	name	string	0%	4	Bangkok, Thailand, TH, TH, Bangkok
`year`	year	string	0%	29	2013, 2009, Thailand, Thailand, 2012
`value`	value	string	0%	98	0.475, 35, 2000, 1999, 0.794

THA World Bank Open Data THA-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 3 table(s)

THA 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	TH, TH, TH, TH, TH
`population_count`	Population count	float	SEL	2%	65	26851747.0, 27650334.0, 28481040.0, 29342322.0, 30232141.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	50.608, 51.065, 51.444, 51.988, 52.539
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	102.814571454958, 109.728794269464, 116.179493337844,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	85%	10	87.9800033569336, 92.6500015258789, 93.5100021362305,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	146.6, 141.7, 136.9, 132.2, 127.5
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	61%	26	65.2, 58.0, 50.0, 42.5, 35.4

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	Thailand, Thailand, Thailand, Thailand, Thailand
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

THA 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	TH, TH, TH, TH, TH
`life_expectancy`	Life expectancy	float	SEL	3%	64	50.608, 51.065, 51.444, 51.988, 52.539
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	64	57.2, 56.5, 55.7, 54.8, 53.8
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	146.6, 141.7, 136.9, 132.2, 127.5
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	23	88.0, 78.0, 72.0, 67.0, 64.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.325, 6.324, 6.331, 6.342, 6.309
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	43.803, 43.582, 43.397, 43.23, 42.764
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	14.971, 14.608, 14.299, 13.896, 13.486
`physicians_per_1000`	Physicians per 1000	float	SEL	56%	28	0.129, 0.14, 0.121, 0.147, 0.16
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	50%	29	0.740034878253937, 1.13730001449585, 1.11189997196198,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	19	49.0, 52.0, 49.0, 49.0, 53.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	3.10125351, 3.02623773, 3.334723, 3.24312782, 3.13893151

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	Thailand, Thailand, Thailand, Thailand, Thailand
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

THA World Bank - Migration Indicators — 66 rows, 9 columns

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	THA, THA, THA, THA, THA
`country_name`	country_name	string	0%	1	Thailand, Thailand, Thailand, Thailand, Thailand
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	287933.0, 271568.0, 771234.0, 1705845.0, 2640454.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	7	0.5, 0.5, 1.2, 2.6, 3.9
`net_migration`	net_migration	float	0%	66	6886.0, 14968.0, 16605.0, 16494.0, 17249.0
`remittances_received_usd`	remittances_received_usd	float	23%	51	18450120.93, 24019487.38, 45048793.79, 104392875.7, 188640701.3
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	23%	51	0.123969665550469, 0.141414143785214, 0.227757129241074,...
`remittances_paid_usd`	remittances_paid_usd	float	49%	34	13494105.34, 12696014.4, 10833278.66, 15879908.56, 19540206.91

THA LandScan Global (ORNL) THA-LANDSCAN Modeled Population

132 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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

0 Admin 0 — 1 table(s)

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

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	THA
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Thailand
`admin_code`	Admin code	string	SEL	0%	1	76911100B81675122338640
`area_sqkm`	Area sqkm	float	SEL	0%	1	514957.0226
`pop_2024`	Population count	integer	SEL	0%	1	69749656
`pop_density_2024`	Population density	float	SEL	0%	1	135.45

1 Admin 1 — 1 table(s)

THA LandScan - Population Admin1 (admin_1) — 77 rows, 7 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	THA, THA, THA, THA, THA
`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%	77	Bangkok, Nakhon Ratchasima Province, Samut Prakan...
`admin_code`	Admin code	string	SEL	0%	77	36821470B28205534186964, 36821470B25997690360286,...
`area_sqkm`	Area sqkm	float	SEL	0%	77	1571.5835, 20731.7405, 953.0656, 10737.0639, 22684.016
`pop_2024`	Population count	integer	SEL	0%	77	9146400, 2570832, 2277166, 1790185, 1738047
`pop_density_2024`	Population density	float	SEL	0%	77	5819.86, 124.0, 2389.31, 166.73, 76.62

Locality Locality — 1 table(s)

THA LandScan - Cities (locality) — 54 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	THA, THA, THA, THA, THA
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	54	Bangkok, Chiang Mai, Chon Buri, Phuket, Hat Yai
`admin_code`	Admin code	integer	SEL	0%	54	2315, 173, 2790, 1645, 3429
`area_sqkm`	Area sqkm	float	SEL	0%	54	2680.9854, 223.7987, 168.9823, 123.1973, 80.4747
`pop_2024`	Population count	integer	SEL	0%	54	14045746, 409776, 339021, 313320, 272045
`pop_density_2024`	Population density	float	SEL	0%	54	5239.02, 1831.0, 2006.25, 2543.24, 3380.5

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%	54	19048032, 692242, 263106, 462804, 436777
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	52	0.737, 0.592, 1.289, 0.677, 0.623

THA UNHCR Refugee Data Finder THA-UNHCR Migration

87 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

THA UNHCR - Hosted Populations — 51 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%	-	-

THA UNHCR - Origin Populations — 36 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%	-	-

THA Glottolog Language Catalog THA-GLOTTOLOG Language

83 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 ext ▶

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0 Admin 0 — 1 table(s)

THA Glottolog - Languages — 83 rows, 16 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	83	aheu1239, akeu1235, akha1245, bank1251, bisu1244
`name`	Name	string	CCL	0%	83	Thavung, Akeu, Akha, Ban Khor Sign Language, Bisu
`iso639_3`	Iso639 3	string	CCL	2%	81	thm, aeu, ahk, bfk, bzi
`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%	8	aust1305, sino1245, sino1245, sign1238, sino1245
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	54	chut1252, akeu1236, akha1246, deaf1237, bisu1246
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	11	0, 0, 2, 0, 0

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	83	17.7655, 22.1959, 21.2309, 16.911, 20.8542
`longitude`	longitude	float	0%	83	104.229, 101.0823, 100.964, 103.296, 99.9862
`country_codes`	Country codes	string	0%	20	['LA', 'TH'], ['CN', 'LA', 'MM', 'TH'], ['CN', 'LA',...
`classification`	classification	string	0%	1	[], [], [], [], []

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

54 rows · 1 table · 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)

THA GHS-UCDB - Cities (locality) — 54 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%	54	Bangkok, Chiang Mai, Phuket, Hat Yai, Lop Buri
`country_code`	Country code	string	SEL	0%	1	THA, THA, THA, THA, THA
`population`	Population count	integer	SEL	0%	54	19048032, 692242, 462804, 436777, 422600

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	54	2315, 173, 1645, 3429, 2391
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Thailand, Thailand, Thailand, Thailand, Thailand
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

THA OpenFactBook THA-OPENFACTBOOK Country Profile

16 rows · 16 tables · 2024 OpenFactBook 0 1 2 3 97 SEL 5 CCL 652 ext ▶

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0 Admin 0 — 16 table(s)

THA OpenFactBook - Communications — 1 rows, 21 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	6.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	161.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	90.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	16.0
`country_code`	Country code	string	SEL	0%	1	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	4.087 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	4.087
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	6 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	115 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	115.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	161 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	26 digital TV stations and 6 terrestrial TV stations...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	26.0
`internet_country_code_text`	Internet country code text	string	0%	1	.th
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	90% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	11.5 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	11.5
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	16 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/th.json

THA OpenFactBook - Economy — 1 rows, 153 columns

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Field details — 159 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	21700.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	526.411
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	5.4
`country_code`	Country code	string	SEL	0%	1	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (153) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	upper middle-income Southeast Asian economy; substantial...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	4.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$1.558 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	1.558
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$1.519 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	1.519
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$1.489 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	1.489
`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	2.5% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	2.5
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	2% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	2.0
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	2.6% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	2.6
`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	$21,700 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$21,200 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	21200.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$20,800 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	20800.0
`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	$526.411 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	1.4% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	1.4
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	8.5% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	8.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	-1.6% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	-1.6
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+123 more extension fields — download the CSV/Parquet to see them all.

THA OpenFactBook - Energy — 1 rows, 57 columns

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Field details — 57 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	99.9
`country_code`	Country code	string	SEL	0%	1	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (53) — 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	99.9% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	100%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	100.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	100%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	100.0
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	55.971 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	55.971
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	215.281 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	215.281
`electricity_exports_text`	electricity_exports_text	string	0%	1	2.256 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	2.256
`electricity_imports_text`	electricity_imports_text	string	0%	1	35.805 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	35.805
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	14.44 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	14.44
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	81.9% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	81.9
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	2.7% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	2.7
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	1.8% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	1.8
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	3.5% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	3.5
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	10.1% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	10.1
`coal_production_text`	coal_production_text	string	0%	1	12.812 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	12.812
`coal_consumption_text`	coal_consumption_text	string	0%	1	42.371 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	42.371
`coal_exports_text`	coal_exports_text	string	0%	1	65,000 metric tons (2023 est.)
+23 more extension fields — download the CSV/Parquet to see them all.

THA 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	43.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	39.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	53.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.43
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	26.853
`country_code`	Country code	string	SEL	0%	1	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`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	air pollution from vehicle emissions; water pollution...
`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; rainy, warm, cloudy southwest monsoon (mid-May...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	43.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 31% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	31.0
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 11.2% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	11.2
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 1.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	1.6
`land_use_forest_text`	land_use_forest_text	string	0%	1	39% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	17.2% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	17.2
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	53.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.43% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	336.693 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	336.693
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	79.928 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	79.928
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	160.931 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	160.931
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	95.834 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	95.834
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	26.3 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	26.3
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	708.8 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	708.8
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	2,109.9 kt (2019-2021 est.)
+22 more extension fields — download the CSV/Parquet to see them all.

THA 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	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`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	Thai (singular and plural)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Thai
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Thai 97.5%, Burmese 1.3%, other 1.1%, unspecified <0.1%...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	97.5
`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/th.json

THA OpenFactBook - Geography — 1 rows, 59 columns

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Field details — 62 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	513120.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	510890.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	2230.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	5673.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	3219.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2565.0
`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	43.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	39.0
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	64150.0
`country_code`	Country code	string	SEL	0%	1	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (49) — 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 Andaman Sea and the...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	15 00 N, 100 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	15.0
`map_references_text`	map_references_text	string	0%	1	Southeast Asia
`area_total_text`	area_total_text	string	0%	1	513,120 sq km
`area_land_text`	area_land_text	string	0%	1	510,890 sq km
`area_water_text`	area_water_text	string	0%	1	2,230 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	about three times the size of Florida; slightly more...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	5,673 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Burma 2,416 km; Cambodia 817 km; Laos 1,845 km; Malaysia 595 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	2416.0
`coastline_text`	coastline_text	string	0%	1	3,219 km
`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_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-m depth or to the depth of exploitation
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical; rainy, warm, cloudy southwest monsoon (mid-May...
`terrain_text`	terrain_text	string	0%	1	central plain; Khorat Plateau in the east; mountains elsewhere
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Doi Inthanon 2,565 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Gulf of Thailand 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	287 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	287.0
`natural_resources_text`	natural_resources_text	string	0%	1	tin, rubber, natural gas, tungsten, tantalum, timber,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	43.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 31% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	31.0
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 11.2% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	11.2
+19 more extension fields — download the CSV/Parquet to see them all.

THA OpenFactBook - Government — 1 rows, 89 columns

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Field details — 114 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	THA
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (112) — 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	Kingdom of Thailand
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Thailand
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Ratcha Anachak Thai
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Prathet Thai
`country_name_former_text`	country_name_former_text	string	0%	1	Siam
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name means "Land of the Thai," referring to the...
`government_type_text`	government_type_text	string	0%	1	constitutional monarchy
`capital_name_text`	capital_name_text	string	0%	1	Bangkok
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	13 45 N, 100 31 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	13.0
`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 is from the Thai words bang (region) and kok...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	76 provinces (changwat, singular and plural) and 1...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	76.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system with common law influences
`constitution_history_text`	constitution_history_text	string	0%	1	many previous; latest drafted and presented 29 March...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	29.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	amendments require a majority vote in a joint session of...
`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 Thailand
`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 and compulsory
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	King WACHIRALONGKON; also spelled Vajiralongkorn (since...
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	1.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Prime Minister ANUTIN Charnvirakul (since 5 Sep 2025)
+82 more extension fields — download the CSV/Parquet to see them all.

THA 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	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`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	Two unified Thai kingdoms emerged in the mid-13th...
`background_numeric`	background_numeric	float	0%	1	-13.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/th.json

THA OpenFactBook - Languages — 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	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`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
`languages_languages_text`	Languages (text)	string	0%	1	Thai (official) only 90.7%, Thai and other languages...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	90.7
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	สารานุกรมโลก - แหล่งข้อมูลพื้นฐานที่สำคัญ (Thai)The...
`languages_note`	languages_note	string	0%	1	note: data represent population by language(s) spoken at home
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/th.json

THA 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	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`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	87,025 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	87025.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	19 (2023 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	19.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	612,524 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	612524.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/th.json

THA OpenFactBook - Military And Security — 1 rows, 22 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	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`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	Royal Thai Armed Forces (RTARF): Royal Thai Army (RTA),...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	1.1% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.1
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.3% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.3
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.3% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.3
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.3% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.3
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.4% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.4
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimated 350,000 active-duty Armed Forces (250,000...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	350000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the RTARF has a diverse array of foreign-supplied...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	18 years of age for voluntary military service for men...
`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	280 South Sudan (UNMISS) (2025)
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	280.0
`military_note_text`	military_note_text	string	0%	1	the missions of the Royal Thai Armed Forces (RTARF)...
`military_note_numeric`	military_note_numeric	float	0%	1	20.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/th.json

THA OpenFactBook - People And Society — 1 rows, 139 columns

Loading data…

Field details — 152 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	70025248.0
`population_male_numeric`	Population male	float	SEL	0%	1	34101016.0
`population_female_numeric`	Population female	float	SEL	0%	1	35924232.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	15.8
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	69.0
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	15.1
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	45.9
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	22.9
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	23.1
`median_age_total_numeric`	Median age	float	SEL	0%	1	41.9
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.13
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	9.82
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	8.08
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-0.41
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	53.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.43
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.95
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	34.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	6.2
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	78.2
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.55
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.75
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.54
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	2.3
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	91.1
`country_code`	Country code	string	SEL	0%	1	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (123) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	70,025,248 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	34,101,016
`population_female_text`	population_female_text	string	0%	1	35,924,232
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	15.8% (male 5,669,592/female 5,394,398)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	69% (male 23,681,528/female 24,597,535)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	15.1% (2024 est.) (male 4,714,191/female 5,863,754)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	45.9 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	22.9 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	23.1 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	4.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	4.3
`median_age_total_text`	median_age_total_text	string	0%	1	41.9 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	40.2 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	40.2
`median_age_female_text`	median_age_female_text	string	0%	1	42.7 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	42.7
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.13% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	9.82 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	8.08 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-0.41 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	highest population density is found in and around...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	53.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.43% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	11.070 million BANGKOK (capital), 1.454 Chon Buri, 1.359...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	11.07
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.96 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.96
+93 more extension fields — download the CSV/Parquet to see them all.

THA OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 17 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	92.5
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	5.4
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	1.2
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.9
`composition_ethnicity_primary_label_synth`	Thai	string	CCL	0%	-	Thai

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	Buddhist 92.5%, Muslim 5.4%, Christian 1.2%, other 0.9%...
`religions_numeric`	religions_numeric	float	0%	1	92.5
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/th.json

Pending (5) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_ethnicity_thai_pct_synth`	Thai	numeric	0%	-	97.5
`composition_ethnicity_burmese_pct_synth`	Burmese	numeric	0%	-	1.3
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	1.1
`composition_ethnicity_unspecified_pct_synth`	unspecified	numeric	0%	-	0.05
`composition_ethnicity_primary_share_pct_synth`	Thai	numeric	0%	-	97.5

THA OpenFactBook - Space — 1 rows, 9 columns

Loading data…

Field details — 13 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	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — 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	Geo-Informatics and Space Technology Development Agency...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2000.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	none; in 2023, announced intentions to build a spaceport...
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1	2023.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has an ambitious national space program focused on the...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2021.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1982 - established first satellite ground station1993 -...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1982.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/th.json

THA OpenFactBook - Transnational Issues — 1 rows, 6 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`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
`illicit_drugs_usg_identification_text`	illicit_drugs_usg_identification_text	string	0%	1	major precursor-chemical producer (2025)
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/th.json

THA OpenFactBook - Transportation — 1 rows, 30 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	0%	1	105.0
`country_code`	Country code	string	SEL	0%	1	THA
`country_name`	Country name	string	SEL	0%	1	Thailand
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (29) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	HS
`airports_text`	airports_text	string	0%	1	105 (2025)
`heliports_text`	heliports_text	string	0%	1	5 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	5.0
`railways_total_text`	railways_total_text	string	0%	1	4,127 km (2017)
`railways_total_numeric`	railways_total_numeric	float	0%	1	4127.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	84 km (2017) 1.435-m gauge (84 km electrified)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	84.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	4,043 km (2017) 1.000-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	4043.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	884 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	884.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 28, container ship 28, general cargo 88,...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	28.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	21 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	21.0
`ports_large_text`	ports_large_text	float	0%	1	1
`ports_large_numeric`	ports_large_numeric	float	0%	1	1.0
`ports_medium_text`	ports_medium_text	float	0%	1	2
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	2.0
`ports_small_text`	ports_small_text	float	0%	1	3
`ports_small_numeric`	ports_small_numeric	float	0%	1	3.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	15
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	15.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	14
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	14.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Bangkok, Laem Chabang, Pattani, Phuket, Sattahip, Si Racha
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/th.json

THA USAID DHS Program THA-DHS Health Surveys

5 rows · 1 table · 1987 USAID DHS Program 0 1 2 3 3 SEL 5 ext ▶

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)

THA DHS - Health Indicators — 5 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	4	19.0, 33.0, 40.0, 45.0, 40.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	5	27.0, 44.0, 52.0, 53.0, 56.0

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Thailand, Thailand, Thailand, Thailand, Thailand
`survey_year`	survey_year	integer	0%	1	1987, 1987, 1987, 1987, 1987
`region`	region	string	0%	5	Bangkok, Central, North, Northeast, South
`survey_id`	survey_id	string	0%	1	TH1987DHS, TH1987DHS, TH1987DHS, TH1987DHS, TH1987DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

THA D-PLACE THA-DPLACE Ethnographic Societies

4 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 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)

THA D-PLACE - Dplace Ea Societies — 2 rows, 23 columns

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Field details — 23 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	THA, THA
`society_id`	Society id	string	CCL	0%	2	Ej12, Ej9
`society_name`	Society name	string	CCL	0%	2	Lawa, Thai
`language_glottocode`	Language glottocode	string	CCL	0%	2	west2396, thai1261
`language_name`	Language name	string	CCL	0%	1	,
`kinship_system`	Kinship system	string	CCL	0%	2	EA017:3; EA018:3; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	2	EA006:1; EA007:8; EA008:6; EA009:1; EA023:6; EA025:5,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	2	EA001:0; EA002:0; EA003:1; EA004:1; EA005:8; EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	2	EA032:3; EA033:2, EA032:3; EA033:5
`religion_importance`	Religion importance	string	CCL	0%	2	EA034:1; EA112:NA, EA034:2; EA112:4
`residence_pattern`	Residence pattern	string	CCL	0%	2	EA010:8; EA011:1; EA012:8; EA013:3; EA014:9, EA010:2;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	2	EA030:7; EA031:4, EA030:7; EA031:6

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Thailand, Thailand
`dataset`	dataset	string	0%	1	EA, EA
`region`	region	string	0%	1	,
`latitude`	latitude	float	0%	2	18.0, 15.0
`longitude`	longitude	float	0%	2	98.0, 100.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024

THA D-PLACE - Dplace Ea Societies Decoded — 2 rows, 49 columns

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Field details — 49 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	THA, THA
`society_id`	society_id	string	CCL	0%	2	Ej12, Ej9
`society_name`	society_name	string	CCL	0%	2	Lawa, Thai
`language_glottocode`	language_glottocode	string	CCL	0%	2	west2396, thai1261
`language_name`	language_name	string	CCL	0%	1	,

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Thailand, Thailand
`dataset`	dataset	string	0%	1	EA, EA
`region`	region	string	0%	1	,
`latitude`	latitude	float	0%	2	18.0, 15.0
`longitude`	longitude	float	0%	2	98.0, 100.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	0%	1	3, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	0%	2	2, 5
`religion_high_gods`	religion_high_gods	integer	0%	2	1, 2
`trance_states`	trance_states	integer	50%	1	4
`settlement_patterns`	settlement_patterns	integer	0%	1	7, 7
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	0%	2	4, 6
`marital_residence_first_years`	marital_residence_first_years	integer	0%	2	8, 2
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	2	1, 2
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	2	8, 6
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	2	3, 9
`marital_residence_alternate`	marital_residence_alternate	integer	0%	2	9, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	2	3, 1
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	2	3, 1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	1	1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	2	9, 2
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	50%	1	4
`descent_major_type`	descent_major_type	integer	0%	2	1, 6
+14 more extension fields — download the CSV/Parquet to see them all.

THA INFORM Risk Index (EC-JRC) THA-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 276 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

THA Inform - Risk Index — 1 rows, 276 columns

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Field details — 276 fields (type, nulls, unique, samples)

Pending (276) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	THA
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	1199502.91428571
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.285714285714286
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	1.66706324138196
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	510890.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.05
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.0443573878600826
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	3.8
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	2.08841276168823
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	3.9
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	2.5
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	4.3
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	6.6
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	1.6
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	1.2
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	2.0
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.4
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	8.6
`inform_cc_inf_com`	Communication	float	0%	1	1.2
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	2.0
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	1.9
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	0.9
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	1.9
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.0
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	5.6
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	0.1
`inform_institutional_capacity`	Institutional	float	0%	1	5.0
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	4.3
`inform_cc_ins_drr_sg_dsr_lgrgsr`	Disaster Risk Reduction SG_DSR_LGRGSR [CC.INS.DRR.SG_DSR_LGRGSR]	float	0%	1	4.3
+246 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share*	Script
Thai (tha)	494,307	100.0%	Thai +1
+ 6 further languages (206 names, each under 0.05%)

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
HDX (Humanitarian Data Exchange)	international_organization	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download