Indonesia

IDN Indonesia - Economic, Social, Environmental, Healt IDN-HDX-Indonesia_-_Economic,_Social,_Envir Indicators

91,575 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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IDN Indonesia - Economic, Social, Environmental, Healt — 91,575 rows, 3,329 columns

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Field details — 3330 fields (type, nulls, unique, samples)

Extension Fields (3330) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	IDN
`Fertilizer_consumption_pct_of_fertilizer_production`	Fertilizer_consumption_pct_of_fertilizer_production	float	0%	1	121.854810385847
`Fertilizer_consumption_kilograms_per_hectare_of_arable_land`	Fertilizer_consumption_kilograms_per_hectare_of_arable_land	float	0%	1	311.071988639875
`Agricultural_land_sq._km`	Agricultural_land_sq._km	float	0%	1	551222.03
`Agricultural_land_pct_of_land_area`	Agricultural_land_pct_of_land_area	float	0%	1	29.1258057551148
`Arable_land_hectares`	Arable_land_hectares	float	0%	1	17782903.0
`Arable_land_hectares_per_person`	Arable_land_hectares_per_person	float	0%	1	0.0632415760262257
`Arable_land_pct_of_land_area`	Arable_land_pct_of_land_area	float	0%	1	9.3962387268892
`Land_under_cereal_production_hectares`	Land_under_cereal_production_hectares	float	0%	1	12689796.0
`Permanent_cropland_pct_of_land_area`	Permanent_cropland_pct_of_land_area	float	0%	1	13.9173199504689
`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	140582.419643
`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	7.44376393971379
`Forest_area_sq._km`	Forest_area_sq._km	float	0%	1	903165.959
`Forest_area_pct_of_land_area`	Forest_area_pct_of_land_area	float	0%	1	47.7220336902463
`Average_precipitation_in_depth_mm_per_year`	Average_precipitation_in_depth_mm_per_year	float	0%	1	2702.0
`Land_area_sq._km`	Land_area_sq._km	float	0%	1	1892555.47
`Rural_land_area_sq._km`	Rural_land_area_sq._km	float	0%	1	1820838.066132
`Cereal_production_metric_tons`	Cereal_production_metric_tons	float	0%	1	73966646.0
`Crop_production_index_2014-2016_=_100`	Crop_production_index_2014-2016_=_100	float	0%	1	111.41
`Food_production_index_2014-2016_=_100`	Food_production_index_2014-2016_=_100	float	0%	1	117.14
`Livestock_production_index_2014-2016_=_100`	Livestock_production_index_2014-2016_=_100	float	0%	1	189.99
`Surface_area_sq._km`	Surface_area_sq._km	float	0%	1	1916906.77
`Cereal_yield_kg_per_hectare`	Cereal_yield_kg_per_hectare	float	0%	1	5828.8
`Access_to_electricity_rural_pct_of_rural_population`	Access_to_electricity_rural_pct_of_rural_population	float	0%	1	98.6
`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	2.44411367431195
`Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal	float	0%	1	85.2067285
`Agriculture_forestry_and_fishing_value_added_current_USusd`	Agriculture_forestry_and_fishing_value_added_current_USusd	float	0%	1	176054814059.639
`Agriculture_forestry_and_fishing_value_added_pct_of_GDP`	Agriculture_forestry_and_fishing_value_added_pct_of_GDP	float	0%	1	12.6086658797584
`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	25.2587381539466
`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	28.638999559361
+3300 more extension fields — download the CSV/Parquet to see them all.

IDN Indonesia - Health Indicators IDN-HDX-Indonesia_-_Health_Indicators Indicators

26,296 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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IDN Indonesia - Health Indicators — 26,296 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%	71	NCD_BMI_30A, HIV_0000000026,...
`GHO (DISPLAY)`	GHO (DISPLAY)	string	0%	71	Prevalence of obesity among adults, BMI ≥ 30...
`GHO (URL)`	GHO (URL)	string	0%	71	https://www.who.int/data/gho/data/indicators/indicator-de...
`YEAR (DISPLAY)`	YEAR (DISPLAY)	string	0%	33	1992, 2015, 2010, 2013, 2007
`STARTYEAR`	STARTYEAR	string	0%	33	1992, 2015, 2010, 2013, 2007
`ENDYEAR`	ENDYEAR	string	0%	33	1992, 2015, 2010, 2013, 2007
`REGION (CODE)`	REGION (CODE)	string	0%	1	WPR, WPR, WPR, WPR, WPR
`REGION (DISPLAY)`	REGION (DISPLAY)	string	0%	1	Western Pacific, Western Pacific, Western Pacific,...
`COUNTRY (CODE)`	COUNTRY (CODE)	string	0%	1	IDN, IDN, IDN, IDN, IDN
`COUNTRY (DISPLAY)`	COUNTRY (DISPLAY)	string	0%	1	Indonesia, Indonesia, Indonesia, Indonesia, Indonesia
`DIMENSION (TYPE)`	DIMENSION (TYPE)	string	8%	10	SEX, RESIDENCEAREATYPE, WEALTHTERCILE,...
`DIMENSION (CODE)`	DIMENSION (CODE)	string	8%	35	SEX_FMLE, RESIDENCEAREATYPE_TOTL, WEALTHTERCILE_TOTL,...
`DIMENSION (NAME)`	DIMENSION (NAME)	string	8%	32	Female, Total, Total, Urban, Urban
`Numeric`	Numeric	string	16%	81	2.5925873, 41000.0, 17.0, 19.9, 26.6
`Value`	Value	string	0%	88	2.6 [2.0-3.3], 41 000 [37 000 - 45 000], 17 [7.1 -...
`Low`	Low	float	40%	54	2.0080164, 37000.0, 7.1, 21.6, 3.7877616
`High`	High	float	40%	60	3.2806724, 45000.0, 30.5, 32.3, 7.0383534

IDN Indonesia - Education IDN-HDX-Indonesia_-_Education Indicators

17,379 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

IDN Indonesia - Education — 17,379 rows, 873 columns

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Field details — 874 fields (type, nulls, unique, samples)

Extension Fields (874) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	IDN
`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	0.92
`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	0.9
`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	10.54
`Barro-Lee:_Percentage_of_population_age_15+_with_no_education`	Barro-Lee:_Percentage_of_population_age_15+_with_no_education	float	0%	1	7.5
`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	1.27
`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	1.1
`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	1.8
`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	1.47
`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	13.28
`Barro-Lee:_Percentage_of_population_age_25+_with_no_education`	Barro-Lee:_Percentage_of_population_age_25+_with_no_education	float	0%	1	9.47
`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	2.37
`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	1.9
`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	5.59
`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	4.03
`Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education`	Barro-Lee:_Percentage_of_female_population_age_40-44_with_no_education	float	0%	1	5.59
`Barro-Lee:_Percentage_of_population_age_40-44_with_no_education`	Barro-Lee:_Percentage_of_population_age_40-44_with_no_education	float	0%	1	4.03
`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	13.26
`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	9.52
`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	13.26
`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	9.52
`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	24.01
`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	16.64
`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	24.01
`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	16.64
`Barro-Lee:_Population_in_thousands_age_15-19_total`	Barro-Lee:_Population_in_thousands_age_15-19_total	float	0%	1	20666.0
`Barro-Lee:_Population_in_thousands_age_15-19_female`	Barro-Lee:_Population_in_thousands_age_15-19_female	float	0%	1	10175.0
`Barro-Lee:_Population_in_thousands_age_15+_total`	Barro-Lee:_Population_in_thousands_age_15+_total	float	0%	1	172622.0
`Barro-Lee:_Population_in_thousands_age_15+_female`	Barro-Lee:_Population_in_thousands_age_15+_female	float	0%	1	87129.0
`Barro-Lee:_Population_in_thousands_age_20-24_total`	Barro-Lee:_Population_in_thousands_age_20-24_total	float	0%	1	20760.0
+844 more extension fields — download the CSV/Parquet to see them all.

IDN Indonesia - Social Protection and Labor IDN-HDX-Indonesia_-_Social_Protection_and_L Indicators

11,144 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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IDN Indonesia - Social Protection And Labor — 11,144 rows, 953 columns

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Field details — 954 fields (type, nulls, unique, samples)

Extension Fields (954) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	IDN
`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	26.0319890344572
`Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-rural`	Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-rural	float	0%	1	10.3937508957357
`Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-urban`	Adequacy_of_benefits_pct_-All_Social_Protection_and_Labor_-urban	float	0%	1	8.45333491822981
`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	16.7906415286707
`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	10.8800370213586
`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	13.8907256006874
`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	12.2959150292141
`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	11.061616823752
`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	8.06248946770298
`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	10.8642692519041
`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	9.45748987558114
`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	7.99625897462222
`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	5.7344333018527
`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	8.62037959846084
`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	6.9520830582438
`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	5.66383233564381
`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	3.25339423460846
`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	0.461927221356516
`Average_per_capita_transfer_-All_Social_Protection_and_Labor_-rural`	Average_per_capita_transfer_-All_Social_Protection_and_Labor_-rural	float	0%	1	0.558198758520917
`Average_per_capita_transfer_-All_Social_Protection_and_Labor`	Average_per_capita_transfer_-All_Social_Protection_and_Labor	float	0%	1	0.523820129696557
`Average_per_capita_transfer_-All_Social_Protection_and_Labor_-urban`	Average_per_capita_transfer_-All_Social_Protection_and_Labor_-urban	float	0%	1	0.490231166805188
`Average_per_capita_transfer_held_by_1st_quintile_poorest_-All_Social_Protection_`	Average_per_capita_transfer_held_by_1st_quintile_poorest_-All_Social_Protection_	float	0%	1	0.469286389861467
`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	0.491685697036318
`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	0.495181842678375
`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	0.501597422260879
`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	0.539024606918701
`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	4.75838079365895
`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	29.9313686186993
`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	22.0392120022486
+924 more extension fields — download the CSV/Parquet to see them all.

IDN Indonesia - Gender IDN-HDX-Indonesia_-_Gender Indicators

5,453 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

IDN Indonesia - Gender — 5,453 rows, 233 columns

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Field details — 234 fields (type, nulls, unique, samples)

Extension Fields (234) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	IDN
`Firms_with_female_top_manager_pct_of_firms`	Firms_with_female_top_manager_pct_of_firms	float	0%	1	31.80389023
`Firms_with_female_participation_in_ownership_pct_of_firms`	Firms_with_female_participation_in_ownership_pct_of_firms	float	0%	1	59.38367844
`Literacy_rate_youth_female_pct_of_females_ages_15-24`	Literacy_rate_youth_female_pct_of_females_ages_15-24	float	0%	1	94.72
`Literacy_rate_youth_ages_15-24_gender_parity_index_GPI`	Literacy_rate_youth_ages_15-24_gender_parity_index_GPI	float	0%	1	1.01910901069641
`Literacy_rate_youth_male_pct_of_males_ages_15-24`	Literacy_rate_youth_male_pct_of_males_ages_15-24	float	0%	1	92.91
`Literacy_rate_adult_female_pct_of_females_ages_15_and_above`	Literacy_rate_adult_female_pct_of_females_ages_15_and_above	float	0%	1	94.5500030517578
`Literacy_rate_adult_male_pct_of_males_ages_15_and_above`	Literacy_rate_adult_male_pct_of_males_ages_15_and_above	float	0%	1	97.4499969482422
`School_enrollment_primary_gross_gender_parity_index_GPI`	School_enrollment_primary_gross_gender_parity_index_GPI	float	0%	1	0.967230021953583
`School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI`	School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI	float	0%	1	0.993399977684021
`School_enrollment_secondary_gross_gender_parity_index_GPI`	School_enrollment_secondary_gross_gender_parity_index_GPI	float	0%	1	1.02502000331879
`School_enrollment_tertiary_gross_gender_parity_index_GPI`	School_enrollment_tertiary_gross_gender_parity_index_GPI	float	0%	1	1.19583636791956
`School_enrollment_preprimary_female_pct_gross`	School_enrollment_preprimary_female_pct_gross	float	0%	1	59.128978729248
`School_enrollment_preprimary_male_pct_gross`	School_enrollment_preprimary_male_pct_gross	float	0%	1	65.4104919433594
`Primary_completion_rate_female_pct_of_relevant_age_group`	Primary_completion_rate_female_pct_of_relevant_age_group	float	0%	1	98.7919848769697
`Primary_completion_rate_male_pct_of_relevant_age_group`	Primary_completion_rate_male_pct_of_relevant_age_group	float	0%	1	101.054087295239
`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	81.1035966749599
`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	86.5573482541628
`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	83.8310823174419
`Primary_education_pupils_pct_female`	Primary_education_pupils_pct_female	float	0%	1	47.77049
`School_enrollment_primary_female_pct_gross`	School_enrollment_primary_female_pct_gross	float	0%	1	99.0626948866048
`School_enrollment_primary_male_pct_gross`	School_enrollment_primary_male_pct_gross	float	0%	1	101.61380480346
`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	100.5169
`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	104.42266
`School_enrollment_primary_female_pct_net`	School_enrollment_primary_female_pct_net	float	0%	1	90.9674
`School_enrollment_primary_male_pct_net`	School_enrollment_primary_male_pct_net	float	0%	1	95.88766
`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	37.2727
`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	43.66138
`Persistence_to_grade_5_female_pct_of_cohort`	Persistence_to_grade_5_female_pct_of_cohort	float	0%	1	99.9835510253906
`Persistence_to_grade_5_male_pct_of_cohort`	Persistence_to_grade_5_male_pct_of_cohort	float	0%	1	99.0687713623047
+204 more extension fields — download the CSV/Parquet to see them all.

IDN Indonesia - Subnational Demographic and Health Dat IDN-HDX-Indonesia_-_Subnational_Demographic Indicators

4,301 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

IDN Indonesia - Subnational Demographic And Health Dat — 4,301 rows, 30 columns

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Field details — 30 fields (type, nulls, unique, samples)

Extension Fields (30) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ISO3`	ISO3	string	0%	1	IDN, IDN, IDN, IDN, IDN
`Location`	Location	string	0%	30	Java-Bali, DKI Jakarta, West Java, Central Java, DI Yogyakarta
`DataId`	DataId	string	0%	100	1100367, 164552, 1086256, 1100313, 1107182
`Indicator`	Indicator	string	0%	7	Total fertility rate 15-49, Total fertility rate 15-49,...
`Value`	Value	string	0%	78	2.8, 2.4, 3.3, 3, 2
`Precision`	Precision	string	0%	2	1, 1, 1, 1, 1
`DHS_CountryCode`	DHS_CountryCode	string	0%	1	ID, ID, ID, ID, ID
`CountryName`	CountryName	string	0%	1	Indonesia, Indonesia, Indonesia, Indonesia, Indonesia
`SurveyYear`	SurveyYear	string	0%	2	1987, 1987, 1987, 1987, 1987
`SurveyId`	SurveyId	string	0%	2	ID1987DHS, ID1987DHS, ID1987DHS, ID1987DHS, ID1987DHS
`IndicatorId`	IndicatorId	string	0%	7	FE_FRTR_W_TFR, FE_FRTR_W_TFR, FE_FRTR_W_TFR,...
`IndicatorOrder`	IndicatorOrder	string	0%	7	11763080, 11763080, 11763080, 11763080, 11763080
`IndicatorType`	IndicatorType	string	0%	1	I, I, I, I, I
`CharacteristicId`	CharacteristicId	string	0%	30	414000, 414001, 414002, 414003, 414004
`CharacteristicOrder`	CharacteristicOrder	string	0%	30	1414000, 1414010, 1414020, 1414030, 1414040
`CharacteristicCategory`	CharacteristicCategory	string	0%	1	Region, Region, Region, Region, Region
`CharacteristicLabel`	CharacteristicLabel	string	0%	30	Java-Bali, ..DKI Jakarta, ..West Java, ..Central Java,...
`ByVariableId`	ByVariableId	string	0%	2	0, 0, 0, 0, 0
`ByVariableLabel`	ByVariableLabel	string	82%	1	Ten years preceding the survey, Ten years preceding the...
`IsTotal`	IsTotal	string	0%	1	0, 0, 0, 0, 0
`IsPreferred`	IsPreferred	string	0%	1	1, 1, 1, 1, 1
`SDRID`	SDRID	string	0%	7	FEFRTRWTFR, FEFRTRWTFR, FEFRTRWTFR, FEFRTRWTFR, FEFRTRWTFR
`RegionId`	RegionId	string	0%	39	IDDHS1987414000, IDDHS1987414001, IDDHS1987414002,...
`SurveyYearLabel`	SurveyYearLabel	string	0%	2	1987, 1987, 1987, 1987, 1987
`SurveyType`	SurveyType	string	0%	1	DHS, DHS, DHS, DHS, DHS
`DenominatorWeighted`	DenominatorWeighted	string	75%	16	7265, 543, 2208, 1934, 207
`DenominatorUnweighted`	DenominatorUnweighted	string	75%	16	7729, 1564, 1518, 1265, 976
`CILow`	CILow	string	82%	14	62, 42, 79, 32, 25
`CIHigh`	CIHigh	string	82%	18	79, 63, 113, 61, 48
`LevelRank`	LevelRank	string	42%	2	1, 1, 1, 1, 1

IDN Indonesia - Human Development Indicators IDN-HDX-Indonesia_-_Human_Development_Indic Indicators

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

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0 Admin 0 — 1 table(s)

IDN Indonesia - Human Development Indicators — 968 rows, 46 columns

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Field details — 47 fields (type, nulls, unique, samples)

Extension Fields (47) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	IDN
`abr`	abr	float	0%	1	26.419
`assets`	assets	float	0%	1	6.8
`child_mortality`	child_mortality	float	0%	1	34.742
`co2_prod`	co2_prod	float	0%	1	2.642
`coef_ineq`	coef_ineq	float	0%	1	16.366
`cooking_fuel`	cooking_fuel	float	0%	1	9.436
`diff_hdi_phdi`	diff_hdi_phdi	float	0%	1	6.044
`drinking_water`	drinking_water	float	0%	1	5.356
`electricity`	electricity	float	0%	1	3.056
`eys`	eys	float	0%	1	13.336
`eys_f`	eys_f	float	0%	1	13.621
`eys_m`	eys_m	float	0%	1	13.057
`gdi_group`	gdi_group	float	0%	1	3.0
`gii_rank`	gii_rank	float	0%	1	108.0
`gni_pc_f`	gni_pc_f	float	0%	1	9073.375
`gni_pc_m`	gni_pc_m	float	0%	1	18283.6
`gnipc`	gnipc	float	0%	1	13700.13
`hdi_f`	hdi_f	float	0%	1	0.704
`hdi_m`	hdi_m	float	0%	1	0.745
`hdi_rank`	hdi_rank	float	0%	1	113.0
`housing`	housing	float	0%	1	5.191
`ineq_edu`	ineq_edu	float	0%	1	12.946
`ineq_inc`	ineq_inc	float	0%	1	23.636
`ineq_le`	ineq_le	float	0%	1	12.516
`le`	le	float	0%	1	71.146
`le_f`	le_f	float	0%	1	73.268
`le_m`	le_m	float	0%	1	69.036
`lfpr_f`	lfpr_f	float	0%	1	53.39
`lfpr_m`	lfpr_m	float	0%	1	82.23
+17 more extension fields — download the CSV/Parquet to see them all.

IDN Indonesia - Demographic, Health, Education and Tra IDN-HDX-Indonesia_-_Demographic,_Health,_Ed Indicators

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

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0 Admin 0 — 1 table(s)

IDN Indonesia - Demographic, Health, Education And Tra — 794 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%	7	Crime, Crime, Health, Health, Transport
`indicator`	indicator	string	0%	19	recorded_assault_rate, recorded_assault_rate,...
`indicator_friendly`	indicator_friendly	string	0%	19	Recorded assault rate per 100, Recorded assault rate per...
`type_data`	type_data	string	0%	4	000 population, 000 population, p, p, n
`latitude`	latitude	string	0%	3	n, n, -5, -5, -5
`longitude`	longitude	string	0%	3	-5, -5, 120, 120, 120
`region_id`	region_id	string	0%	2	120, 120, 789, 789, 789
`country_id`	country_id	string	0%	2	789, 789, ID, ID, ID
`name`	name	string	0%	3	ID, ID, Indonesia, Indonesia, Indonesia
`year`	year	string	0%	29	Indonesia, Indonesia, 1992, 2004, 1990
`value`	value	string	0%	98	2000, 1999, 15.4, 17, 16

IDN Glottolog Language Catalog IDN-GLOTTOLOG Language

756 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)

IDN Glottolog - Languages — 756 rows, 16 columns

Loading data…

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	100	abai1241, abin1243, abui1241, abun1252, achi1257
`name`	Name	string	CCL	0%	100	Abai Tubu-Abai Sembuak, Abinomn, Abui, Abun, Acehnese
`iso639_3`	Iso639 3	string	CCL	4%	96	bsa, abz, kgr, ace, adb
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	2%	17	aust1307, timo1261, aust1307, book1242, timo1261
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	2%	85	muru1275, abui1242, cham1327, book1242, adan1252
`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%	12	0, 0, 4, 3, 7

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	100	3.524226, -2.92281, -8.31058, -0.57073, 3.90757
`longitude`	longitude	float	0%	100	116.162455, 138.891, 124.588, 132.416, 96.6032
`country_codes`	Country codes	string	0%	4	['ID'], ['ID'], ['ID'], ['ID'], ['ID']
`classification`	classification	string	0%	1	[], [], [], [], []

IDN Indonesia - Urban Development IDN-HDX-Indonesia_-_Urban_Development Indicators

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

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0 Admin 0 — 1 table(s)

IDN Indonesia - Urban Development — 641 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	IDN
`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	5029.16204349
`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	0.266291440717653
`Urban_land_area_sq._km`	Urban_land_area_sq._km	float	0%	1	67755.1345869
`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	17.8814994983985
`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	95.5671472610627
`Population_density_people_per_sq._km_of_land_area`	Population_density_people_per_sq._km_of_land_area	float	0%	1	148.57692229227
`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	6.37354752480886
`Population_living_in_slums_pct_of_urban_population`	Population_living_in_slums_pct_of_urban_population	float	0%	1	19.41083
`Population_in_largest_city`	Population_in_largest_city	float	0%	1	11634078.0
`Population_in_the_largest_city_pct_of_urban_population`	Population_in_the_largest_city_pct_of_urban_population	float	0%	1	6.8557484417066
`Population_in_urban_agglomerations_of_more_than_1_million`	Population_in_urban_agglomerations_of_more_than_1_million	float	0%	1	41214600.0
`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	14.4247591033101
`Mortality_caused_by_road_traffic_injury_per_100000_population`	Mortality_caused_by_road_traffic_injury_per_100000_population	float	0%	1	11.3
`Urban_population_growth_annual_pct`	Urban_population_growth_annual_pct	float	0%	1	1.89719567962498
`Urban_population`	Urban_population	float	0%	1	166551891.0
`Urban_population_pct_of_total_population`	Urban_population_pct_of_total_population	float	0%	1	58.7509635387997
`year`	Reference year	integer	0%	-	-

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

549 rows · 3 tables · 2020 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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0 Admin 0 — 1 table(s)

IDN COD PS - IDN Codps (admin_0) — 1 rows, 56 columns

Loading data…

Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	ID
`region_name`	Region name	string	SEL	0%	1	Indonesia
`T_TL`	Total population	integer	SEL	0%	1	269603430
`M_TL`	Male population	integer	SEL	0%	1	135337011
`F_TL`	Female population	integer	SEL	0%	1	134266419

Pending (51) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2020
`year`	year	integer	0%	1	2020
`T_00_04`	Total population age 0-4	integer	0%	1	21951993
`T_05_09`	Total population age 5-9	integer	0%	1	21945160
`T_10_14`	Total population age 10-14	integer	0%	1	22168842
`T_15_19`	Total population age 15-19	integer	0%	1	22139392
`T_20_24`	Total population age 20-24	integer	0%	1	21958329
`T_25_29`	Total population age 25-29	integer	0%	1	21699966
`T_30_34`	Total population age 30-34	integer	0%	1	21302010
`T_35_39`	Total population age 35-39	integer	0%	1	20783179
`T_40_44`	Total population age 40-44	integer	0%	1	19524038
`T_45_49`	Total population age 45-49	integer	0%	1	18164239
`T_50_54`	Total population age 50-54	integer	0%	1	15923028
`T_55_59`	Total population age 55-59	integer	0%	1	13323796
`T_60_64`	Total population age 60-64	integer	0%	1	10521814
`T_65_69`	Total population age 65-69	integer	0%	1	7680229
`T_70_74`	Total population age 70-74	integer	0%	1	5242370
`T_75Plus`	T_75Plus	integer	0%	1	5275045
`M_00_04`	Male population age 0-4	integer	0%	1	11101528
`M_05_09`	Male population age 5-9	integer	0%	1	11205657
`M_10_14`	Male population age 10-14	integer	0%	1	11284333
`M_15_19`	Male population age 15-19	integer	0%	1	11189861
`M_20_24`	Male population age 20-24	integer	0%	1	11070774
`M_25_29`	Male population age 25-29	integer	0%	1	10963605
`M_30_34`	Male population age 30-34	integer	0%	1	10777337
`M_35_39`	Male population age 35-39	integer	0%	1	10477475
`M_40_44`	Male population age 40-44	integer	0%	1	9830929
`M_45_49`	Male population age 45-49	integer	0%	1	9140315
`M_50_54`	Male population age 50-54	integer	0%	1	7975551
+21 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

IDN COD PS - IDN Codps (admin_1) — 34 rows, 56 columns

Loading data…

Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	34	ID11, ID51, ID36, ID17, ID34
`region_name`	Region name	string	SEL	0%	34	Aceh, Bali, Banten, Bengkulu, Daerah Istimewa Yogyakarta
`T_TL`	Total population	integer	SEL	0%	34	5388093, 4414431, 12895258, 1994349, 3919197
`M_TL`	Male population	integer	SEL	0%	34	2691784, 2221377, 6557861, 1015234, 1935397
`F_TL`	Female population	integer	SEL	0%	34	2696309, 2193054, 6337397, 979115, 1983800

Pending (51) — 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	2020, 2020, 2020, 2020, 2020
`year`	year	integer	0%	1	2020, 2020, 2020, 2020, 2020
`T_00_04`	Total population age 0-4	integer	0%	34	509320, 315660, 1095985, 168744, 275983
`T_05_09`	Total population age 5-9	integer	0%	34	506731, 313175, 1096826, 165312, 261202
`T_10_14`	Total population age 10-14	integer	0%	34	502503, 339350, 1090395, 164470, 257922
`T_15_19`	Total population age 15-19	integer	0%	34	489870, 340023, 1079525, 162932, 280715
`T_20_24`	Total population age 20-24	integer	0%	34	474318, 353262, 1090531, 162606, 318922
`T_25_29`	Total population age 25-29	integer	0%	34	461848, 355007, 1084772, 163526, 317182
`T_30_34`	Total population age 30-34	integer	0%	34	441242, 349973, 1068828, 162885, 299569
`T_35_39`	Total population age 35-39	integer	0%	34	413277, 351570, 1029714, 159209, 297753
`T_40_44`	Total population age 40-44	integer	0%	34	366305, 332498, 961127, 147807, 282245
`T_45_49`	Total population age 45-49	integer	0%	34	317530, 316001, 880429, 133296, 269682
`T_50_54`	Total population age 50-54	integer	0%	34	264886, 279111, 745488, 117153, 246218
`T_55_59`	Total population age 55-59	integer	0%	34	211271, 235002, 595438, 96905, 222888
`T_60_64`	Total population age 60-64	integer	0%	34	161302, 189211, 440523, 73255, 188700
`T_65_69`	Total population age 65-69	integer	0%	34	114624, 139710, 297488, 51983, 147795
`T_70_74`	Total population age 70-74	integer	0%	34	76867, 98014, 186740, 33600, 110085
`T_75Plus`	T_75Plus	integer	0%	34	76199, 106864, 151449, 30666, 142336
`M_00_04`	Male population age 0-4	integer	0%	34	257539, 159695, 554458, 85292, 139690
`M_05_09`	Male population age 5-9	integer	0%	34	257220, 160681, 556653, 84136, 133517
`M_10_14`	Male population age 10-14	integer	0%	34	254446, 173129, 550754, 83079, 131655
`M_15_19`	Male population age 15-19	integer	0%	34	246241, 173362, 541292, 81962, 140984
`M_20_24`	Male population age 20-24	integer	0%	34	236854, 180556, 545119, 82095, 157648
`M_25_29`	Male population age 25-29	integer	0%	34	231079, 180980, 548471, 83021, 158073
`M_30_34`	Male population age 30-34	integer	0%	34	222395, 178018, 547984, 83719, 151792
`M_35_39`	Male population age 35-39	integer	0%	34	207063, 178538, 532746, 82287, 150402
`M_40_44`	Male population age 40-44	integer	0%	34	182837, 168940, 498873, 75935, 141767
`M_45_49`	Male population age 45-49	integer	0%	34	158211, 159914, 455737, 68167, 134099
`M_50_54`	Male population age 50-54	integer	0%	34	131486, 139612, 383408, 59788, 120237
+21 more pending fields — download the CSV/Parquet to see them all.

2 Admin 2 — 1 table(s)

IDN COD PS - IDN Codps (admin_2) — 514 rows, 56 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	ID1107, ID1112, ID1108, ID1116, ID1103
`region_name`	Region name	string	SEL	0%	100	Aceh Barat, Aceh Barat Daya, Aceh Besar, Aceh Jaya, Aceh Selatan
`T_TL`	Total population	integer	SEL	0%	100	209498, 151828, 424423, 94379, 242200
`M_TL`	Male population	integer	SEL	0%	100	106007, 75292, 217471, 49263, 119001
`F_TL`	Female population	integer	SEL	0%	100	103491, 76536, 206952, 45116, 123199

Pending (51) — 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	2020, 2020, 2020, 2020, 2020
`year`	year	integer	0%	1	2020, 2020, 2020, 2020, 2020
`T_00_04`	Total population age 0-4	integer	0%	100	18469, 12757, 42358, 10076, 19368
`T_05_09`	Total population age 5-9	integer	0%	100	17274, 13388, 35618, 7378, 22388
`T_10_14`	Total population age 10-14	integer	0%	100	17890, 14291, 34747, 7564, 23716
`T_15_19`	Total population age 15-19	integer	0%	100	17930, 13542, 38388, 7129, 21049
`T_20_24`	Total population age 20-24	integer	0%	100	18108, 11479, 41047, 7916, 17140
`T_25_29`	Total population age 25-29	integer	0%	100	18884, 12631, 40239, 9456, 18593
`T_30_34`	Total population age 30-34	integer	0%	100	18748, 12732, 35631, 8543, 19372
`T_35_39`	Total population age 35-39	integer	0%	100	18217, 12188, 33093, 7898, 19830
`T_40_44`	Total population age 40-44	integer	0%	100	15817, 11339, 28352, 6859, 18493
`T_45_49`	Total population age 45-49	integer	0%	100	13380, 9981, 24219, 5743, 15926
`T_50_54`	Total population age 50-54	integer	0%	100	10626, 7949, 19395, 4628, 13144
`T_55_59`	Total population age 55-59	integer	0%	100	7896, 5842, 16481, 3589, 10236
`T_60_64`	Total population age 60-64	integer	0%	100	6405, 4799, 12606, 3024, 8051
`T_65_69`	Total population age 65-69	integer	0%	100	4365, 3751, 8569, 2012, 6308
`T_70_74`	Total population age 70-74	integer	0%	100	2912, 2706, 5944, 1298, 4544
`T_75Plus`	T_75Plus	integer	0%	100	2577, 2453, 7736, 1266, 4042
`M_00_04`	Male population age 0-4	integer	0%	100	9196, 6472, 21564, 5002, 9783
`M_05_09`	Male population age 5-9	integer	0%	100	8622, 6713, 18123, 3746, 11335
`M_10_14`	Male population age 10-14	integer	0%	100	9008, 7262, 17764, 3817, 12168
`M_15_19`	Male population age 15-19	integer	0%	100	8975, 6940, 19751, 3694, 10576
`M_20_24`	Male population age 20-24	integer	0%	100	8861, 5451, 21174, 4112, 8305
`M_25_29`	Male population age 25-29	integer	0%	100	9611, 5988, 20964, 4787, 9104
`M_30_34`	Male population age 30-34	integer	0%	99	9420, 6237, 18768, 4562, 9186
`M_35_39`	Male population age 35-39	integer	0%	100	9326, 5991, 17215, 4258, 9758
`M_40_44`	Male population age 40-44	integer	0%	100	8129, 5623, 14655, 3783, 9014
`M_45_49`	Male population age 45-49	integer	0%	100	7068, 5034, 12657, 3135, 7811
`M_50_54`	Male population age 50-54	integer	0%	100	5542, 4019, 9885, 2454, 6386
+21 more pending fields — download the CSV/Parquet to see them all.

IDN Indonesia - Risk Assessment Indicators IDN-HDX-Indonesia_-_Risk_Assessment_Indicat Indicators

522 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)

IDN Indonesia - Risk Assessment Indicators — 522 rows, 9 columns

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

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ADM2_PCODE`	ADM2_PCODE	string	0%	100	ID1107, ID1112, ID1108, ID1116, ID1103
`ADM_PCODE`	ADM_PCODE	string	0%	100	ID1107, ID1112, ID1108, ID1116, ID1103
`female_pop_rural`	female_pop_rural	string	0%	100	55170, 27183, 31302, 28909, 43298
`children_u5_rural`	children_u5_rural	string	0%	100	8426, 4220, 5416, 5145, 6113
`female_u5_rural`	female_u5_rural	string	0%	100	4084, 2052, 2627, 2513, 2964
`elderly_rural`	elderly_rural	string	0%	100	8431, 3836, 4698, 4342, 7204
`pop_u15_rural`	pop_u15_rural	string	0%	100	26512, 12699, 16761, 15943, 18794
`female_u15_rural`	female_u15_rural	string	0%	99	12940, 6144, 8152, 7836, 9123
`rural_pop_perc`	rural_pop_perc	float	0%	99	51.38, 33.37, 14.23, 59.64, 34.26

IDN LandScan Global (ORNL) IDN-LANDSCAN Modeled Population

404 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)

IDN 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	IDN
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Indonesia
`admin_code`	Admin code	string	SEL	0%	1	11942859B47275810722289
`area_sqkm`	Area sqkm	float	SEL	0%	1	1890176.2786
`pop_2024`	Population count	integer	SEL	0%	1	278106216
`pop_density_2024`	Population density	float	SEL	0%	1	147.13

1 Admin 1 — 1 table(s)

IDN LandScan - Population Admin1 (admin_1) — 34 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	IDN, IDN, IDN, IDN, IDN
`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%	34	West Java, East Java, Central Java, North Sumatra, Banten
`admin_code`	Admin code	string	SEL	0%	34	65028918B28366581005022, 65028918B43243108525571,...
`area_sqkm`	Area sqkm	float	SEL	0%	34	37676.3162, 47932.4368, 33776.2554, 72301.2913, 9346.3814
`pop_2024`	Population count	integer	SEL	0%	34	50781093, 42132005, 37447172, 15396614, 12325254
`pop_density_2024`	Population density	float	SEL	0%	34	1347.83, 878.99, 1108.68, 212.95, 1318.72

Locality Locality — 1 table(s)

IDN LandScan - Cities (locality) — 369 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	IDN, IDN, IDN, IDN, IDN
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	100	Jakarta, Bandung, Surabaya, Medan, Semarang
`admin_code`	Admin code	integer	SEL	0%	100	5472, 5748, 7459, 1646, 6785
`area_sqkm`	Area sqkm	float	SEL	0%	100	4583.8627, 981.58, 1295.5649, 602.9687, 599.0835
`pop_2024`	Population count	integer	SEL	0%	100	32471474, 6975873, 6431812, 3840163, 2401612
`pop_density_2024`	Population density	float	SEL	0%	100	7083.87, 7106.78, 4964.48, 6368.76, 4008.81

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

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	100	40545126, 8691181, 6856993, 4350624, 3274360
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	92	0.801, 0.803, 0.938, 0.883, 0.733

IDN USAID DHS Program IDN-DHS Health Surveys

375 rows · 2 tables · 2017 USAID DHS Program 0 1 2 3 4 SEL 2 CCL 10 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 — 2 table(s)

IDN DHS - Ethnicity Indicators — 138 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%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	74	86.4, 85.5, 90.4, 95.2, 87.1
`men_who_are_literate`	Men who are literate	float	CCL	27%	57	96.5, 95.1, 97.0, 93.0, 94.7

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	Indonesia, Indonesia, Indonesia, Indonesia, Indonesia
`survey_year`	survey_year	integer	0%	4	2003, 2007, 2012, 2017, 2003
`region`	region	string	0%	28	..Bali, ..Bali, ..Bali, ..Bali, ..Bangka Belitung
`survey_id`	survey_id	string	0%	4	ID2003DHS, ID2007DHS, ID2012DHS, ID2017DHS, ID2003DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

IDN DHS - Health Indicators — 237 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%	54	65.0, 49.0, 58.0, 39.0, 14.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	65	80.0, 61.0, 63.0, 44.0, 19.0

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	Indonesia, Indonesia, Indonesia, Indonesia, Indonesia
`survey_year`	survey_year	integer	0%	8	1987, 1991, 1994, 1997, 2003
`region`	region	string	0%	17	..Bali, ..Bali, ..Bali, ..Bali, ..Bali
`survey_id`	survey_id	string	0%	8	ID1987DHS, ID1991DHS, ID1994DHS, ID1997DHS, ID2003DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

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

369 rows · 1 table · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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

Locality Locality — 1 table(s)

IDN GHS-UCDB - Cities (locality) — 369 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%	100	Jakarta, Bandung, Surabaya, Medan, Semarang
`country_code`	Country code	string	SEL	0%	1	IDN, IDN, IDN, IDN, IDN
`population`	Population count	integer	SEL	0%	100	40545126, 8691181, 6856993, 4350624, 3274360

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	100	5472, 5748, 7459, 1646, 6785
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Indonesia, Indonesia, Indonesia, Indonesia, Indonesia
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

IDN World Bank Open Data IDN-WORLD_BANK Development Indicators

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

IDN 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	ID, ID, ID, ID, ID
`population_count`	Population count	float	SEL	2%	65	88296070.0, 90791249.0, 93375850.0, 96051424.0, 98833749.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	46.835, 47.385, 48.141, 48.742, 49.44
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	12%	58	53.2051866988581, 64.6547730642556, 74.0988114128793,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	80%	13	67.3099975585938, 81.5199966430664, 90.379997253418,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	223.8, 217.7, 211.8, 206.0, 200.3
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	59%	25	17.5, 23.4, 19.1, 18.4, 18.2

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

IDN 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	ID, ID, ID, ID, ID
`life_expectancy`	Life expectancy	float	SEL	3%	64	46.835, 47.385, 48.141, 48.742, 49.44
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	64	57.9, 56.8, 55.8, 54.8, 53.8
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	223.8, 217.7, 211.8, 206.0, 200.3
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	38	474.0, 455.0, 437.0, 431.0, 402.0
`fertility_rate`	Fertility rate	float	SEL	3%	62	5.505, 5.522, 5.534, 5.551, 5.568
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	44.391, 44.251, 44.013, 43.755, 43.455
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	62	17.765, 17.441, 16.97, 16.587, 16.135
`physicians_per_1000`	Physicians per 1000	float	SEL	65%	22	0.021, 0.032, 0.037, 0.037, 0.085
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	47%	27	0.740457057952881, 0.654600024223328, 0.818300008773804,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	33%	32	1.0, 1.0, 6.0, 13.0, 27.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	1.85297656, 2.11850214, 1.98062706, 2.24837184, 2.12002277

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

IDN 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	IDN, IDN, IDN, IDN, IDN
`country_name`	country_name	string	0%	1	Indonesia, Indonesia, Indonesia, Indonesia, Indonesia
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	92058.0, 114419.0, 287645.0, 87508.0, 113288.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	3	0.1, 0.1, 0.1, 0.0, 0.0
`net_migration`	net_migration	float	0%	65	101631.0, 103628.0, 106264.0, 110166.0, 144819.0
`remittances_received_usd`	remittances_received_usd	float	35%	43	10000000.0, 53000000.0, 61000000.0, 71000000.0, 86000000.0
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	35%	43	0.0123377153394412, 0.0624604466071946,...
`remittances_paid_usd`	remittances_paid_usd	float	67%	22	913221515.578803, 1178915744.91105, 1359066195.95657,...

IDN Indonesia - National Demographic and Health Data IDN-HDX-Indonesia_-_National_Demographic_an Indicators

159 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)

IDN Indonesia - National Demographic And Health Data — 159 rows, 29 columns

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Field details — 29 fields (type, nulls, unique, samples)

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

Field Name	Label	Type	Nulls	Unique	Samples
`ISO3`	ISO3	string	0%	1	IDN, IDN, IDN, IDN, IDN
`DataId`	DataId	string	0%	100	139491, 91599, 91600, 81481, 134449
`Indicator`	Indicator	string	0%	17	Total fertility rate 15-49, Married women currently...
`Value`	Value	string	0%	89	3.1, 47.7, 43.9, 17.2, 67
`Precision`	Precision	string	0%	2	1, 1, 1, 1, 0
`DHS_CountryCode`	DHS_CountryCode	string	0%	1	ID, ID, ID, ID, ID
`CountryName`	CountryName	string	0%	1	Indonesia, Indonesia, Indonesia, Indonesia, Indonesia
`SurveyYear`	SurveyYear	string	0%	6	1987, 1987, 1987, 1987, 1987
`SurveyId`	SurveyId	string	0%	6	ID1987DHS, ID1987DHS, ID1987DHS, ID1987DHS, ID1987DHS
`IndicatorId`	IndicatorId	string	0%	17	FE_FRTR_W_TFR, FP_CUSM_W_ANY, FP_CUSM_W_MOD,...
`IndicatorOrder`	IndicatorOrder	string	0%	17	11763080, 32633010, 32633020, 41633090, 63206030
`IndicatorType`	IndicatorType	string	0%	1	I, I, I, I, I
`CharacteristicId`	CharacteristicId	string	0%	2	1000, 1000, 1000, 1000, 1000
`CharacteristicOrder`	CharacteristicOrder	string	0%	2	0, 0, 0, 0, 0
`CharacteristicCategory`	CharacteristicCategory	string	0%	2	Total, Total, Total, Total, Total
`CharacteristicLabel`	CharacteristicLabel	string	0%	2	Total, Total, Total, Total, Total
`ByVariableId`	ByVariableId	string	0%	5	0, 0, 0, 0, 14001
`ByVariableLabel`	ByVariableLabel	string	60%	4	Five years preceding the survey, Ten years preceding the...
`IsTotal`	IsTotal	string	0%	1	1, 1, 1, 1, 1
`IsPreferred`	IsPreferred	string	0%	2	1, 1, 1, 1, 1
`SDRID`	SDRID	string	0%	17	FEFRTRWTFR, FPCUSMWANY, FPCUSMWMOD, MAAAFMWM2B, CMECMRCIMR
`RegionId`	RegionId	string	100%	-	-
`SurveyYearLabel`	SurveyYearLabel	string	0%	6	1987, 1987, 1987, 1987, 1987
`SurveyType`	SurveyType	string	0%	1	DHS, DHS, DHS, DHS, DHS
`DenominatorWeighted`	DenominatorWeighted	string	45%	43	10907, 10907, 21109, 21109, 21109
`DenominatorUnweighted`	DenominatorUnweighted	string	45%	43	10919, 10919, 21187, 21187, 21187
`CILow`	CILow	string	77%	20	58, 66, 87, 100, 60
`CIHigh`	CIHigh	string	77%	22	77, 82, 110, 121, 75
`LevelRank`	LevelRank	string	100%	-	-

IDN UNHCR Refugee Data Finder IDN-UNHCR Migration

96 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 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)

IDN UNHCR - Hosted Populations — 48 rows, 24 columns

Loading data…

Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

IDN UNHCR - Origin Populations — 48 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%	-	-

IDN D-PLACE IDN-DPLACE Ethnographic Societies

54 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 ext ▶

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0 Admin 0 — 2 table(s)

IDN D-PLACE - Dplace Ea Societies — 27 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	IDN, IDN, IDN, IDN, IDN
`society_id`	Society id	string	CCL	0%	27	Ib2, Ib3, Ib4, Ib6, Ib7
`society_name`	Society name	string	CCL	0%	27	Javanese, Balinese, Toba Batak, Minangkabau, Mentaweians
`language_glottocode`	Language glottocode	string	CCL	0%	27	java1254, bali1278, bata1289, mina1268, ment1249
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	22	EA017:1; EA018:1; EA019:1; EA020:1; EA021:1; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	27	EA006:6; EA007:3; EA008:2; EA009:2; EA023:13; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	26	EA001:0; EA002:0; EA003:0; EA004:2; EA005:8; EA028:6;...
`political_complexity`	Political complexity	string	CCL	0%	12	EA032:3; EA033:5, EA032:4; EA033:4, EA032:3; EA033:1,...
`religion_importance`	Religion importance	string	CCL	0%	16	EA034:1; EA112:4, EA034:1; EA112:4, EA034:4; EA112:4,...
`residence_pattern`	Residence pattern	string	CCL	0%	13	EA010:9; EA011:2; EA012:6; EA013:9; EA014:11, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	16	EA030:8; EA031:7, EA030:7; EA031:4, EA030:7; EA031:NA,...

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	Indonesia, Indonesia, Indonesia, Indonesia, Indonesia
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	23	-7.0, -8.18, 2.0, -1.0, -2.93
`longitude`	longitude	float	0%	26	110.0, 115.02, 99.0, 101.0, 100.23
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

IDN D-PLACE - Dplace Ea Societies Decoded — 27 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	IDN, IDN, IDN, IDN, IDN
`society_id`	society_id	string	CCL	0%	27	Ib2, Ib3, Ib4, Ib6, Ib7
`society_name`	society_name	string	CCL	0%	27	Javanese, Balinese, Toba Batak, Minangkabau, Mentaweians
`language_glottocode`	language_glottocode	string	CCL	0%	27	java1254, bali1278, bata1289, mina1268, ment1249
`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	Indonesia, Indonesia, Indonesia, Indonesia, Indonesia
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	23	-7.0, -8.18, 2.0, -1.0, -2.93
`longitude`	longitude	float	0%	26	110.0, 115.02, 99.0, 101.0, 100.23
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	15%	3	3, 4, 3, 4, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	15%	5	5, 4, 1, 3, 1
`religion_high_gods`	religion_high_gods	integer	56%	3	1, 1, 4, 4, 4
`trance_states`	trance_states	integer	30%	6	4, 4, 4, 7, 1
`settlement_patterns`	settlement_patterns	integer	15%	6	8, 7, 7, 7, 7
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	52%	6	7, 4, 3, 6, 5
`marital_residence_first_years`	marital_residence_first_years	integer	0%	7	9, 8, 8, 7, 12
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	4	2, 1, 1, 9, 2
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	8	6, 8, 8, 7, 12
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	4	9, 3, 3, 3, 3
`marital_residence_alternate`	marital_residence_alternate	integer	0%	7	11, 9, 9, 5, 9
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	5	1, 5, 4, 1, 1
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	5	1, 5, 4, 1, 1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	4	1, 1, 1, 5, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	3	1, 1, 1, 4, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	5	1, 9, 9, 9, 5
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	22%	6	3, 4, 7, 4, 3
`descent_major_type`	descent_major_type	integer	0%	6	6, 1, 1, 3, 5
+14 more extension fields — download the CSV/Parquet to see them all.

IDN HDX HAPI Data for Indonesia IDN-HDX-HDX_HAPI_Data_for_Indonesia Indicators

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

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0 Admin 0 — 1 table(s)

IDN HDX HAPI Data for Indonesia — 40 rows, 16 columns

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

Extension Fields (16) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_code`	location_code	string	0%	1	IDN, IDN, IDN, IDN, IDN
`has_hrp`	has_hrp	string	0%	1	False, False, False, False, False
`in_gho`	in_gho	string	0%	1	False, False, False, False, False
`provider_admin1_name`	provider_admin1_name	string	18%	5	Aceh, Aceh, Aceh, Jawa Barat, Jawa Barat
`provider_admin2_name`	provider_admin2_name	string	35%	16	Pidie, Pidie Jaya, Garut, Tabanan, Bangli
`admin1_code`	admin1_code	string	18%	5	ID11, ID11, ID11, ID32, ID32
`admin1_name`	admin1_name	string	18%	5	Aceh, Aceh, Aceh, Jawa Barat, Jawa Barat
`admin2_code`	admin2_code	string	35%	16	ID1109, ID1118, ID3205, ID5102, ID5106
`admin2_name`	admin2_name	string	35%	16	Pidie, Pidie Jaya, Garut, Tabanan, Bangli
`admin_level`	admin_level	string	0%	3	0, 0, 0, 0, 0
`operation`	operation	string	0%	5	Aceh earthquake, Central Sulawesi Earthquake, Central...
`assessment_type`	assessment_type	string	0%	1	SA, SA, SA, SA, SA
`population`	population	string	0%	32	76692, 211906, 110373, 1355, 432015
`reporting_round`	reporting_round	string	0%	2	1, 1, 2, 1, 1
`reference_period_start`	reference_period_start	string	0%	7	2016-12-26, 2018-11-30, 2018-12-30, 2016-11-26, 2018-09-30
`reference_period_end`	reference_period_end	string	0%	7	2016-12-26, 2018-11-30, 2018-12-30, 2016-11-26, 2018-09-30

IDN Google Community Mobility (2020-2022) IDN-GOOGLE-MOBILITY Mobility

34 rows · 1 table · 2022 Google 0 1 2 3 3 SEL 8 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)

IDN Mobility by Region — 34 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	ID, ID, ID, ID, ID
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	IDN, IDN, IDN, IDN, IDN

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	33	1.12, -27.73, -4.68, -2.74, 9.02
`grocery`	grocery	float	0%	34	19.82, -13.94, 20.33, 8.88, 38.04
`parks`	parks	float	0%	34	-1.87, -30.31, 19.39, 13.78, 0.05
`transit`	transit	float	0%	34	-17.19, -55.52, -16.33, -32.09, -36.96
`workplaces`	workplaces	float	0%	33	-10.61, -29.15, -11.55, -14.14, -8.67
`residential`	residential	float	0%	34	2.64, 12.05, 5.54, 11.88, 5.56
`region`	region	string	0%	34	Aceh, Bali, Bangka Belitung Islands, Banten, Bengkulu
`observation_count`	observation_count	integer	0%	1	974, 974, 974, 974, 974

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

20 rows · 2 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 24 ext ▶

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0 Admin 0 — 2 table(s)

IDN NGA GNS - Language — 19 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	IDN, IDN, IDN, IDN, IDN
`gns_language_code`	gns_language_code	string	CCL	0%	19	ind, ban, sun, eng, msa
`gns_language_name`	gns_language_name	string	CCL	0%	19	Indonesian, Balinese, Sundanese, English, Malay (generic)
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	12	332571, 513, 131, 127, 101
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	12	99.7146, 0.1538, 0.0393, 0.0381, 0.0303
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	2	0, 0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	2	, , , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	2	, , , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	2	0, 0, 0, 0, 0

IDN NGA GNS - Summary — 1 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	IDN
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Indonesia
`gns_language_count`	gns_language_count	integer	CCL	0%	1	19
`gns_script_count`	gns_script_count	integer	CCL	0%	1	1
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9919
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	11

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	542356
`gns_feature_count`	gns_feature_count	integer	0%	1	448187
`gns_endonym_count`	gns_endonym_count	integer	0%	1	542312
`gns_exonym_count`	gns_exonym_count	integer	0%	1	44
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	305583
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	257916
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	61436
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	41642
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	100587
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	90873
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	71395
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	55100
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	1869
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	1352
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	1403
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1232
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	10
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	7
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	72
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	64
`gns_name_count_undersea`	gns_name_count_undersea	integer	0%	1	1
`gns_feature_count_undersea`	gns_feature_count_undersea	integer	0%	1	1

IDN OpenFactBook IDN-OPENFACTBOOK Country Profile

16 rows · 16 tables · 2024 OpenFactBook 0 1 2 3 97 SEL 4 CCL 643 ext ▶

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0 Admin 0 — 16 table(s)

IDN 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	3.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	123.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	69.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	5.0
`country_code`	Country code	string	SEL	0%	1	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`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	9.16 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	9.16
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	3 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	347 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	347.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	123 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	mix of about a dozen national TV networks, including 1...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	1.0
`internet_country_code_text`	Internet country code text	string	0%	1	.id
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	69% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	13.5 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	13.5
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	5 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/id.json

IDN OpenFactBook - Economy — 1 rows, 153 columns

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Field details — 158 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	14500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	1.396
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	9.0
`country_code`	Country code	string	SEL	0%	1	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (152) — 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, largest and growing Southeast Asian...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$4.102 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	4.102
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$3.906 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	3.906
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$3.718 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	3.718
`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	5% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	5.0
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	5% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	5.0
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	5.3% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	5.3
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$14,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$13,900 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	13900.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$13,300 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	13300.0
`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	$1.396 trillion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	3.7% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	3.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	4.2% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	4.2
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text`	Inflation rate consumer prices 2021 (text)	string	0%	1	1.6% (2021 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric`	Inflation rate consumer prices 2021 (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
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	12.6% (2024 est.)
+122 more extension fields — download the CSV/Parquet to see them all.

IDN OpenFactBook - Energy — 1 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (55) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_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	98.2%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	98.2
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	70.826 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	70.826
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	356.135 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	356.135
`electricity_imports_text`	electricity_imports_text	string	0%	1	828.198 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	828.198
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	27.477 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	27.477
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	82% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	82.0
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.2% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.2
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	0.1% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	0.1
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	6.4% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	6.4
`electricity_generation_sources_geothermal_text`	electricity_generation_sources_geothermal_text	string	0%	1	4.4% of total installed capacity (2023 est.)
`electricity_generation_sources_geothermal_numeric`	electricity_generation_sources_geothermal_numeric	float	0%	1	4.4
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	6.9% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	6.9
`coal_production_text`	coal_production_text	string	0%	1	783.453 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	783.453
`coal_consumption_text`	coal_consumption_text	string	0%	1	281.159 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	281.159
`coal_exports_text`	coal_exports_text	string	0%	1	519.23 million metric tons (2023 est.)
+25 more extension fields — download the CSV/Parquet to see them all.

IDN 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	29.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	50.6
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	58.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.99
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	65.2
`country_code`	Country code	string	SEL	0%	1	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`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	large-scale deforestation (much of it illegal) and...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Marine Life Conservation
`climate_text`	climate_text	string	0%	1	tropical; hot, humid; more moderate in highlands
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	29.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 9.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	9.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 13.9% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	13.9
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 5.8% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	5.8
`land_use_forest_text`	land_use_forest_text	string	0%	1	50.6% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	20.3% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	20.3
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	58.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.99% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	829.655 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	829.655
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	527.923 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	527.923
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	223.352 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	223.352
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	78.38 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	78.38
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	18.4 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	18.4
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	3,621.7 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	3621.7
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	3,379.3 kt (2019-2021 est.)
+22 more extension fields — download the CSV/Parquet to see them all.

IDN 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	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`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	Indonesian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Indonesian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Javanese 40.1%, Sundanese 15.5%, Malay 3.7%, Batak 3.6%,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	40.1
`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/id.json

IDN OpenFactBook - Geography — 1 rows, 53 columns

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Field details — 59 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	1904569.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	1811569.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	93000.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	2958.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	54716.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	4884.0
`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	29.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	50.6
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	67220.0
`country_code`	Country code	string	SEL	0%	1	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (46) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southeastern Asia, archipelago between the Indian Ocean...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	5 00 S, 120 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	5.0
`map_references_text`	map_references_text	string	0%	1	Southeast Asia
`area_total_text`	area_total_text	string	0%	1	1,904,569 sq km
`area_land_text`	area_land_text	string	0%	1	1,811,569 sq km
`area_water_text`	area_water_text	string	0%	1	93,000 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly less than three times the size of Texas
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	2,958 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Malaysia 1,881 km; Papua New Guinea 824 km; Timor-Leste 253 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	1881.0
`coastline_text`	coastline_text	string	0%	1	54,716 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_note`	maritime_claims_note	string	0%	1	note: measured from claimed archipelagic straight baselines
`climate_text`	climate_text	string	0%	1	tropical; hot, humid; more moderate in highlands
`terrain_text`	terrain_text	string	0%	1	mostly coastal lowlands; larger islands have interior mountains
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Puncak Jaya 4,884 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Indian/Pacific Oceans 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	367 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	367.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, tin, natural gas, nickel, timber, bauxite,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	29.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 9.4% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	9.4
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 13.9% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	13.9
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 5.8% (2023 est.)
+16 more extension fields — download the CSV/Parquet to see them all.

IDN OpenFactBook - Government — 1 rows, 84 columns

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Field details — 112 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	IDN
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (110) — 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	Republic of Indonesia
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Indonesia
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republik Indonesia
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Indonesia
`country_name_former_text`	country_name_former_text	string	0%	1	Netherlands East Indies (Dutch East Indies), Netherlands...
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name is an 18th-century construct of two Greek...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	18.0
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Jakarta
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	6 10 S, 106 49 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	6.0
`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_time_zone_note_text`	capital_time_zone_note_text	string	0%	1	Indonesia has three time zones
`capital_etymology_text`	capital_etymology_text	string	0%	1	derives from the Sanscrit name Jayakarta, meaning...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1527.0
`capital_note`	capital_note	string	0%	1	note: in 2022, the relocation of the country’s capital...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	35 provinces (provinsi-provinsi, singular - provinsi), 1...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	35.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the Roman-Dutch model and...
`constitution_history_text`	constitution_history_text	string	0%	1	drafted July to August 1945, effective 18 August 1945,...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1945.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the People’s Consultative Assembly, with at...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Indonesia
`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 continuous 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	17 years of age; universal; married persons regardless of age
+80 more extension fields — download the CSV/Parquet to see them all.

IDN 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	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`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	The archipelago was once largely under the control of...
`background_numeric`	background_numeric	float	0%	1	7.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/id.json

IDN OpenFactBook - Languages — 1 rows, 7 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	0%	1	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Bahasa Indonesia (official, modified form of Malay),...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	700.0
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	Fakta Dunia, sumber informasi dasar yang sangat...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/id.json

IDN 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	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`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	11,964 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	11964.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	95,521 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	95521.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	2,643 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	2643.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/id.json

IDN OpenFactBook - Military And Security — 1 rows, 21 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	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`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	Indonesian National Armed Forces (Tentara Nasional...
`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	0.8% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.8% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.8% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	0.8% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	0.8% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	0.8
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 400,000 active Armed Forces, including...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	400000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory is a mix of older and new...
`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 service for men and women;...
`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	250 (plus about 170 police) Central African Republic...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	250.0
`military_note_text`	military_note_text	string	0%	1	the military is responsible for external defense,...
`military_note_numeric`	military_note_numeric	float	0%	1	1960.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/id.json

IDN OpenFactBook - People And Society — 1 rows, 138 columns

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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	283587097.0
`population_male_numeric`	Population male	float	SEL	0%	1	141778977.0
`population_female_numeric`	Population female	float	SEL	0%	1	141808120.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	23.8
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	68.3
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	8.0
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	46.1
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	34.1
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	12.0
`median_age_total_numeric`	Median age	float	SEL	0%	1	31.8
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.7
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	14.55
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.82
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-0.7
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	58.6
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.99
`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	1.0
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	140.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	18.5
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	73.6
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.93
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.94
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.52
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.4
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	96.0
`country_code`	Country code	string	SEL	0%	1	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`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	283,587,097 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	141,778,977
`population_female_text`	population_female_text	string	0%	1	141,808,120
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	23.8% (male 34,247,218/female 32,701,367)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	68.3% (male 96,268,201/female 95,961,293)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	8% (2024 est.) (male 10,284,628/female 12,099,758)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	46.1 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	34.1 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	12 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	8.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	8.3
`median_age_total_text`	median_age_total_text	string	0%	1	31.8 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	30.8 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	30.8
`median_age_female_text`	median_age_female_text	string	0%	1	32.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	32.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.7% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	14.55 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.82 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-0.7 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	major concentration on the island of Java, which is...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	58.6% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.99% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	11.249 million JAKARTA (capital), 3.729 million Bekasi,...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	11.249
`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	1 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.0
+93 more extension fields — download the CSV/Parquet to see them all.

IDN OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 30 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	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	87.4
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	1.7
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.8
`composition_ethnicity_primary_label_synth`	Javanese	string	CCL	0%	-	Javanese

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	Muslim 87.4%, Protestant 7.5%, Roman Catholic 3.1%,...
`religions_numeric`	religions_numeric	float	0%	1	87.4
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/id.json

Pending (19) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	7.5
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	3.1
`composition_ethnicity_javanese_pct_synth`	Javanese	numeric	0%	-	40.1
`composition_ethnicity_sundanese_pct_synth`	Sundanese	numeric	0%	-	15.5
`composition_ethnicity_malay_pct_synth`	Malay	numeric	0%	-	3.7
`composition_ethnicity_batak_pct_synth`	Batak	numeric	0%	-	3.6
`composition_ethnicity_madurese_pct_synth`	Madurese	numeric	0%	-	3.0
`composition_ethnicity_betawi_pct_synth`	Betawi	numeric	0%	-	2.9
`composition_ethnicity_minangkabau_pct_synth`	Minangkabau	numeric	0%	-	2.7
`composition_ethnicity_buginese_pct_synth`	Buginese	numeric	0%	-	2.7
`composition_ethnicity_bantenese_pct_synth`	Bantenese	numeric	0%	-	2.0
`composition_ethnicity_banjarese_pct_synth`	Banjarese	numeric	0%	-	1.7
`composition_ethnicity_balinese_pct_synth`	Balinese	numeric	0%	-	1.7
`composition_ethnicity_acehnese_pct_synth`	Acehnese	numeric	0%	-	1.4
`composition_ethnicity_dayak_pct_synth`	Dayak	numeric	0%	-	1.4
`composition_ethnicity_sasak_pct_synth`	Sasak	numeric	0%	-	1.3
`composition_ethnicity_chinese_pct_synth`	Chinese	numeric	0%	-	1.2
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	15.0
`composition_ethnicity_primary_share_pct_synth`	Javanese	numeric	0%	-	40.1

IDN OpenFactBook - Space — 1 rows, 8 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	Indonesian Space Agency (INASA; formed 2022); National...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2022.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	focuses largely on rocket development and satellite...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2025.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1964 - launched first sounding rocket (Kartika)1976 -...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1964.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/id.json

IDN OpenFactBook - Terrorism — 1 rows, 6 columns

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Field details — 6 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	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	Islamic State of Iraq and ash-Sham (aka Jemaah Anshorut...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/id.json

IDN OpenFactBook - Transportation — 1 rows, 30 columns

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Field details — 32 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	556.0
`country_code`	Country code	string	SEL	0%	1	IDN
`country_name`	Country name	string	SEL	0%	1	Indonesia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (28) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	PK
`airports_text`	airports_text	string	0%	1	556 (2025)
`heliports_text`	heliports_text	string	0%	1	53 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	53.0
`railways_total_text`	railways_total_text	string	0%	1	8,159 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	8159.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	8,159 km (2014) 1.067-m gauge (565 km electrified)
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	8159.0
`railways_note`	railways_note	string	0%	1	note: 4,816 km operational
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	11,422 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	11422.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 160, container ship 219, general cargo...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	160.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	123 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	123.0
`ports_large_text`	ports_large_text	float	0%	1	3
`ports_large_numeric`	ports_large_numeric	float	0%	1	3.0
`ports_medium_text`	ports_medium_text	float	0%	1	6
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	6.0
`ports_small_text`	ports_small_text	float	0%	1	18
`ports_small_numeric`	ports_small_numeric	float	0%	1	18.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	96
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	96.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	79
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	79.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Belawan, Cilacap, Dumai, Jakarta, Kasim Terminal, Merak...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/id.json

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

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

1 rows × 278 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

IDN Inform - Risk Index — 1 rows, 278 columns

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Field details — 278 fields (type, nulls, unique, samples)

Pending (278) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	IDN
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	566571.428571429
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.114285714285714
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.200908786325918
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	1811570.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.025
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.0534104251753078
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	4.1
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	1.21754491329193
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	3.8
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	3.9
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	5.7
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	8.8
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	3.8
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	3.6
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	2.9
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	4.9
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	1.6
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	8.7
`inform_cc_inf_com`	Communication	float	0%	1	1.9
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	4.0
`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	0.9
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	2.7
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	4.2
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	2.2
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.1
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	1.3
`inform_institutional_capacity`	Institutional	float	0%	1	3.7
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	1.9
+248 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

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Language	Place names	Share*	Script
Indonesian (ind)	332,571	99.7%	—
Balinese (ban)	513	0.2%	—
+ 17 further languages (439 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
Google	commercial	bulk_download
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
INFORM Risk Index (EC-JRC)	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
NGA GEOnet Names Server (GNS)	official_government	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download