Saudi Arabia

SAU Saudi Arabia - Economic, Social, Environmental, He SAU-HDX-Saudi_Arabia_-_Economic,_Social,_En Indicators

67,545 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Economic, Social, Environmental, He — 67,545 rows, 2,000 columns

Loading data…

Field details — 2000 fields (type, nulls, unique, samples)

Extension Fields (2000) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`Fertilizer_consumption_pct_of_fertilizer_production`	Fertilizer_consumption_pct_of_fertilizer_production	float	0%	1	7.13505765498866
`Fertilizer_consumption_kilograms_per_hectare_of_arable_land`	Fertilizer_consumption_kilograms_per_hectare_of_arable_land	float	0%	1	122.422725866855
`Agricultural_land_sq._km`	Agricultural_land_sq._km	float	0%	1	1736374.17
`Agricultural_land_pct_of_land_area`	Agricultural_land_pct_of_land_area	float	0%	1	80.7732356758416
`Arable_land_hectares`	Arable_land_hectares	float	0%	1	3430417.0
`Arable_land_hectares_per_person`	Arable_land_hectares_per_person	float	0%	1	0.101784540843292
`Arable_land_pct_of_land_area`	Arable_land_pct_of_land_area	float	0%	1	1.59577287888021
`Land_under_cereal_production_hectares`	Land_under_cereal_production_hectares	float	0%	1	232932.0
`Permanent_cropland_pct_of_land_area`	Permanent_cropland_pct_of_land_area	float	0%	1	0.096292953867767
`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	6915.43674321
`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	0.360796480880926
`Forest_area_sq._km`	Forest_area_sq._km	float	0%	1	9770.0
`Forest_area_pct_of_land_area`	Forest_area_pct_of_land_area	float	0%	1	0.454484134921779
`Agricultural_irrigated_land_pct_of_total_agricultural_land`	Agricultural_irrigated_land_pct_of_total_agricultural_land	float	0%	1	0.436251421547004
`Average_precipitation_in_depth_mm_per_year`	Average_precipitation_in_depth_mm_per_year	float	0%	1	59.0
`Land_area_sq._km`	Land_area_sq._km	float	0%	1	2149690.0
`Rural_land_area_sq._km`	Rural_land_area_sq._km	float	0%	1	1908957.38877812
`Cereal_production_metric_tons`	Cereal_production_metric_tons	float	0%	1	1192998.83
`Crop_production_index_2014-2016_=_100`	Crop_production_index_2014-2016_=_100	float	0%	1	182.29
`Food_production_index_2014-2016_=_100`	Food_production_index_2014-2016_=_100	float	0%	1	172.66
`Livestock_production_index_2014-2016_=_100`	Livestock_production_index_2014-2016_=_100	float	0%	1	164.71
`Surface_area_sq._km`	Surface_area_sq._km	float	0%	1	2149690.0
`Cereal_yield_kg_per_hectare`	Cereal_yield_kg_per_hectare	float	0%	1	5121.7
`Access_to_electricity_rural_pct_of_rural_population`	Access_to_electricity_rural_pct_of_rural_population	float	0%	1	100.0
`Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_`	Rural_population_living_in_areas_where_elevation_is_below_5_meters_pct_of_total_	float	0%	1	0.684171875209436
`Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal	float	0%	1	81.56355802
`Agriculture_forestry_and_fishing_value_added_current_USusd`	Agriculture_forestry_and_fishing_value_added_current_USusd	float	0%	1	31438133333.3333
`Agriculture_forestry_and_fishing_value_added_pct_of_GDP`	Agriculture_forestry_and_fishing_value_added_pct_of_GDP	float	0%	1	2.53573305211338
`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	0.445425946657976
+1970 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Health Indicators SAU-HDX-Saudi_Arabia_-_Health_Indicators Indicators

18,791 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Health Indicators — 18,791 rows, 211 columns

Loading data…

Field details — 211 fields (type, nulls, unique, samples)

Extension Fields (211) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`Total_alcohol_consumption_per_capita_female_liters_of_pure_alcohol_projected_est`	Total_alcohol_consumption_per_capita_female_liters_of_pure_alcohol_projected_est	float	0%	1	0.0
`Total_alcohol_consumption_per_capita_liters_of_pure_alcohol_projected_estimates_`	Total_alcohol_consumption_per_capita_liters_of_pure_alcohol_projected_estimates_	float	0%	1	0.0
`Total_alcohol_consumption_per_capita_male_liters_of_pure_alcohol_projected_estim`	Total_alcohol_consumption_per_capita_male_liters_of_pure_alcohol_projected_estim	float	0%	1	0.0
`Prevalence_of_anemia_among_women_of_reproductive_age_pct_of_women_ages_15-49`	Prevalence_of_anemia_among_women_of_reproductive_age_pct_of_women_ages_15-49	float	0%	1	17.6
`Prevalence_of_anemia_among_children_pct_of_children_ages_6-59_months`	Prevalence_of_anemia_among_children_pct_of_children_ages_6-59_months	float	0%	1	21.8
`Prevalence_of_anemia_among_non-pregnant_women_pct_of_women_ages_15-49`	Prevalence_of_anemia_among_non-pregnant_women_pct_of_women_ages_15-49	float	0%	1	17.4
`Cause_of_death_by_communicable_diseases_and_maternal_prenatal_and_nutrition_cond`	Cause_of_death_by_communicable_diseases_and_maternal_prenatal_and_nutrition_cond	float	0%	1	7.13055653028488
`Number_of_infant_deaths`	Number_of_infant_deaths	float	0%	1	2529.0
`Cause_of_death_by_injury_pct_of_total`	Cause_of_death_by_injury_pct_of_total	float	0%	1	19.4592222972666
`Number_of_under-five_deaths`	Number_of_under-five_deaths	float	0%	1	3201.0
`Cause_of_death_by_non-communicable_diseases_pct_of_total`	Cause_of_death_by_non-communicable_diseases_pct_of_total	float	0%	1	73.410221100722
`Number_of_neonatal_deaths`	Number_of_neonatal_deaths	float	0%	1	1614.0
`Women's_share_of_population_ages_15+_living_with_HIV_pct`	Women's_share_of_population_ages_15+_living_with_HIV_pct	float	0%	1	13.1278578007675
`Prevalence_of_HIV_total_pct_of_population_ages_15-49`	Prevalence_of_HIV_total_pct_of_population_ages_15-49	float	0%	1	0.1
`Mortality_rate_under-5_per_1000_live_births`	Mortality_rate_under-5_per_1000_live_births	float	0%	1	6.2
`Mortality_rate_under-5_female_per_1000_live_births`	Mortality_rate_under-5_female_per_1000_live_births	float	0%	1	6.0
`Mortality_rate_under-5_male_per_1000_live_births`	Mortality_rate_under-5_male_per_1000_live_births	float	0%	1	6.3
`Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_female_pc`	Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_female_pc	float	0%	1	13.3
`Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_male_pct`	Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_male_pct	float	0%	1	13.9
`Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_pct`	Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_pct	float	0%	1	13.6
`Mortality_rate_neonatal_per_1000_live_births`	Mortality_rate_neonatal_per_1000_live_births	float	0%	1	3.0
`People_using_at_least_basic_drinking_water_services_rural_pct_of_rural_populatio`	People_using_at_least_basic_drinking_water_services_rural_pct_of_rural_populatio	float	0%	1	99.6483715106679
`People_using_at_least_basic_drinking_water_services_urban_pct_of_urban_populatio`	People_using_at_least_basic_drinking_water_services_urban_pct_of_urban_populatio	float	0%	1	98.9349974490729
`People_using_at_least_basic_drinking_water_services_pct_of_population`	People_using_at_least_basic_drinking_water_services_pct_of_population	float	0%	1	99.0407817713525
`Prevalence_of_HIV_female_pct_ages_15-24`	Prevalence_of_HIV_female_pct_ages_15-24	float	0%	1	0.1
`Prevalence_of_HIV_male_pct_ages_15-24`	Prevalence_of_HIV_male_pct_ages_15-24	float	0%	1	0.1
`Antiretroviral_therapy_coverage_pct_of_people_living_with_HIV`	Antiretroviral_therapy_coverage_pct_of_people_living_with_HIV	float	0%	1	93.0
`Adults_ages_15-49_newly_infected_with_HIV`	Adults_ages_15-49_newly_infected_with_HIV	float	0%	1	1400.0
`Adults_ages_15+_and_children_ages_0-14_newly_infected_with_HIV`	Adults_ages_15+_and_children_ages_0-14_newly_infected_with_HIV	float	0%	1	1400.0
+181 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Education SAU-HDX-Saudi_Arabia_-_Education Indicators

14,187 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Education — 14,187 rows, 884 columns

Loading data…

Field details — 884 fields (type, nulls, unique, samples)

Extension Fields (884) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`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	0.1
`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	0.1
`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	17.98
`Barro-Lee:_Percentage_of_population_age_15+_with_no_education`	Barro-Lee:_Percentage_of_population_age_15+_with_no_education	float	0%	1	12.72
`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	0.1
`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	0.1
`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	6.56
`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	5.43
`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	26.46
`Barro-Lee:_Percentage_of_population_age_25+_with_no_education`	Barro-Lee:_Percentage_of_population_age_25+_with_no_education	float	0%	1	18.07
`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	9.41
`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	7.98
`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	14.73
`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	11.58
`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	27.89
`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	18.23
`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	27.89
`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	18.23
`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	51.58
`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	30.54
`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	51.58
`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	30.54
`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	76.02
`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	52.24
`Barro-Lee:_Population_in_thousands_age_15-19_total`	Barro-Lee:_Population_in_thousands_age_15-19_total	float	0%	1	2837.0
`Barro-Lee:_Population_in_thousands_age_15-19_female`	Barro-Lee:_Population_in_thousands_age_15-19_female	float	0%	1	1398.0
`Barro-Lee:_Population_in_thousands_age_15+_total`	Barro-Lee:_Population_in_thousands_age_15+_total	float	0%	1	18076.0
`Barro-Lee:_Population_in_thousands_age_15+_female`	Barro-Lee:_Population_in_thousands_age_15+_female	float	0%	1	8156.0
`Barro-Lee:_Population_in_thousands_age_20-24_total`	Barro-Lee:_Population_in_thousands_age_20-24_total	float	0%	1	2543.0
+854 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Health SAU-HDX-Saudi_Arabia_-_Health Indicators

7,745 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Health — 7,745 rows, 211 columns

Loading data…

Field details — 211 fields (type, nulls, unique, samples)

Extension Fields (211) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`Total_alcohol_consumption_per_capita_female_liters_of_pure_alcohol_projected_est`	Total_alcohol_consumption_per_capita_female_liters_of_pure_alcohol_projected_est	float	0%	1	0.0
`Total_alcohol_consumption_per_capita_liters_of_pure_alcohol_projected_estimates_`	Total_alcohol_consumption_per_capita_liters_of_pure_alcohol_projected_estimates_	float	0%	1	0.0
`Total_alcohol_consumption_per_capita_male_liters_of_pure_alcohol_projected_estim`	Total_alcohol_consumption_per_capita_male_liters_of_pure_alcohol_projected_estim	float	0%	1	0.0
`Prevalence_of_anemia_among_women_of_reproductive_age_pct_of_women_ages_15-49`	Prevalence_of_anemia_among_women_of_reproductive_age_pct_of_women_ages_15-49	float	0%	1	17.6
`Prevalence_of_anemia_among_children_pct_of_children_ages_6-59_months`	Prevalence_of_anemia_among_children_pct_of_children_ages_6-59_months	float	0%	1	21.8
`Prevalence_of_anemia_among_non-pregnant_women_pct_of_women_ages_15-49`	Prevalence_of_anemia_among_non-pregnant_women_pct_of_women_ages_15-49	float	0%	1	17.4
`Cause_of_death_by_communicable_diseases_and_maternal_prenatal_and_nutrition_cond`	Cause_of_death_by_communicable_diseases_and_maternal_prenatal_and_nutrition_cond	float	0%	1	7.13055653028488
`Number_of_infant_deaths`	Number_of_infant_deaths	float	0%	1	2529.0
`Cause_of_death_by_injury_pct_of_total`	Cause_of_death_by_injury_pct_of_total	float	0%	1	19.4592222972666
`Number_of_under-five_deaths`	Number_of_under-five_deaths	float	0%	1	3201.0
`Cause_of_death_by_non-communicable_diseases_pct_of_total`	Cause_of_death_by_non-communicable_diseases_pct_of_total	float	0%	1	73.410221100722
`Number_of_neonatal_deaths`	Number_of_neonatal_deaths	float	0%	1	1614.0
`Women's_share_of_population_ages_15+_living_with_HIV_pct`	Women's_share_of_population_ages_15+_living_with_HIV_pct	float	0%	1	13.1278578007675
`Prevalence_of_HIV_total_pct_of_population_ages_15-49`	Prevalence_of_HIV_total_pct_of_population_ages_15-49	float	0%	1	0.1
`Mortality_rate_under-5_per_1000_live_births`	Mortality_rate_under-5_per_1000_live_births	float	0%	1	6.2
`Mortality_rate_under-5_female_per_1000_live_births`	Mortality_rate_under-5_female_per_1000_live_births	float	0%	1	6.0
`Mortality_rate_under-5_male_per_1000_live_births`	Mortality_rate_under-5_male_per_1000_live_births	float	0%	1	6.3
`Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_female_pc`	Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_female_pc	float	0%	1	13.3
`Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_male_pct`	Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_male_pct	float	0%	1	13.9
`Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_pct`	Mortality_from_CVD_cancer_diabetes_or_CRD_between_exact_ages_30_and_70_pct	float	0%	1	13.6
`Mortality_rate_neonatal_per_1000_live_births`	Mortality_rate_neonatal_per_1000_live_births	float	0%	1	3.0
`People_using_at_least_basic_drinking_water_services_rural_pct_of_rural_populatio`	People_using_at_least_basic_drinking_water_services_rural_pct_of_rural_populatio	float	0%	1	99.6483715106679
`People_using_at_least_basic_drinking_water_services_urban_pct_of_urban_populatio`	People_using_at_least_basic_drinking_water_services_urban_pct_of_urban_populatio	float	0%	1	98.9349974490729
`People_using_at_least_basic_drinking_water_services_pct_of_population`	People_using_at_least_basic_drinking_water_services_pct_of_population	float	0%	1	99.0407817713525
`Prevalence_of_HIV_female_pct_ages_15-24`	Prevalence_of_HIV_female_pct_ages_15-24	float	0%	1	0.1
`Prevalence_of_HIV_male_pct_ages_15-24`	Prevalence_of_HIV_male_pct_ages_15-24	float	0%	1	0.1
`Antiretroviral_therapy_coverage_pct_of_people_living_with_HIV`	Antiretroviral_therapy_coverage_pct_of_people_living_with_HIV	float	0%	1	93.0
`Adults_ages_15-49_newly_infected_with_HIV`	Adults_ages_15-49_newly_infected_with_HIV	float	0%	1	1400.0
`Adults_ages_15+_and_children_ages_0-14_newly_infected_with_HIV`	Adults_ages_15+_and_children_ages_0-14_newly_infected_with_HIV	float	0%	1	1400.0
+181 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Gender SAU-HDX-Saudi_Arabia_-_Gender Indicators

4,058 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Gender — 4,058 rows, 165 columns

Loading data…

Field details — 165 fields (type, nulls, unique, samples)

Extension Fields (165) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`Firms_with_female_top_manager_pct_of_firms`	Firms_with_female_top_manager_pct_of_firms	float	0%	1	2.951507568
`Firms_with_female_participation_in_ownership_pct_of_firms`	Firms_with_female_participation_in_ownership_pct_of_firms	float	0%	1	4.854920864
`Literacy_rate_youth_female_pct_of_females_ages_15-24`	Literacy_rate_youth_female_pct_of_females_ages_15-24	float	0%	1	99.75
`Literacy_rate_youth_ages_15-24_gender_parity_index_GPI`	Literacy_rate_youth_ages_15-24_gender_parity_index_GPI	float	0%	1	1.0
`Literacy_rate_youth_male_pct_of_males_ages_15-24`	Literacy_rate_youth_male_pct_of_males_ages_15-24	float	0%	1	100.0
`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	96.6900024414062
`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	98.5800018310547
`School_enrollment_primary_gross_gender_parity_index_GPI`	School_enrollment_primary_gross_gender_parity_index_GPI	float	0%	1	1.01462996006012
`School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI`	School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI	float	0%	1	0.988870024681091
`School_enrollment_secondary_gross_gender_parity_index_GPI`	School_enrollment_secondary_gross_gender_parity_index_GPI	float	0%	1	0.961070001125336
`School_enrollment_tertiary_gross_gender_parity_index_GPI`	School_enrollment_tertiary_gross_gender_parity_index_GPI	float	0%	1	1.00602527047339
`School_enrollment_preprimary_female_pct_gross`	School_enrollment_preprimary_female_pct_gross	float	0%	1	18.962890625
`School_enrollment_preprimary_male_pct_gross`	School_enrollment_preprimary_male_pct_gross	float	0%	1	17.6948509216309
`Primary_completion_rate_female_pct_of_relevant_age_group`	Primary_completion_rate_female_pct_of_relevant_age_group	float	0%	1	99.6507545056052
`Primary_completion_rate_male_pct_of_relevant_age_group`	Primary_completion_rate_male_pct_of_relevant_age_group	float	0%	1	99.0844540733516
`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	90.10173
`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	94.81375
`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	93.27224
`Primary_education_pupils_pct_female`	Primary_education_pupils_pct_female	float	0%	1	49.49163
`School_enrollment_primary_female_pct_gross`	School_enrollment_primary_female_pct_gross	float	0%	1	104.143521494941
`School_enrollment_primary_male_pct_gross`	School_enrollment_primary_male_pct_gross	float	0%	1	103.831391534404
`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	92.12807
`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	90.904
`School_enrollment_primary_female_pct_net`	School_enrollment_primary_female_pct_net	float	0%	1	94.43822
`School_enrollment_primary_male_pct_net`	School_enrollment_primary_male_pct_net	float	0%	1	94.64963
`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	74.65034
`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	72.79565
`Persistence_to_grade_5_female_pct_of_cohort`	Persistence_to_grade_5_female_pct_of_cohort	float	0%	1	85.0972518920898
`Persistence_to_grade_5_male_pct_of_cohort`	Persistence_to_grade_5_male_pct_of_cohort	float	0%	1	85.8772888183594
+135 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Public Sector SAU-HDX-Saudi_Arabia_-_Public_Sector Indicators

2,000 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Public Sector — 2,000 rows, 106 columns

Loading data…

Field details — 106 fields (type, nulls, unique, samples)

Extension Fields (106) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`Control_of_Corruption:_Estimate`	Control_of_Corruption:_Estimate	float	0%	1	0.536042988300323
`Control_of_Corruption:_Number_of_Sources`	Control_of_Corruption:_Number_of_Sources	float	0%	1	8.0
`Control_of_Corruption:_Percentile_Rank`	Control_of_Corruption:_Percentile_Rank	float	0%	1	66.5094375610352
`Control_of_Corruption:_Percentile_Rank_Lower_Bound_of_90pct_Confidence_Interval`	Control_of_Corruption:_Percentile_Rank_Lower_Bound_of_90pct_Confidence_Interval	float	0%	1	60.8490562438965
`Control_of_Corruption:_Percentile_Rank_Upper_Bound_of_90pct_Confidence_Interval`	Control_of_Corruption:_Percentile_Rank_Upper_Bound_of_90pct_Confidence_Interval	float	0%	1	78.7735824584961
`Control_of_Corruption:_Standard_Error`	Control_of_Corruption:_Standard_Error	float	0%	1	0.184761807322502
`Net_acquisition_of_financial_assets_current_LCU`	Net_acquisition_of_financial_assets_current_LCU	float	0%	1	39184576000.0
`Net_acquisition_of_financial_assets_pct_of_GDP`	Net_acquisition_of_financial_assets_pct_of_GDP	float	0%	1	0.842811909920424
`Net_incurrence_of_liabilities_total_current_LCU`	Net_incurrence_of_liabilities_total_current_LCU	float	0%	1	152469373400.0
`Net_incurrence_of_liabilities_total_pct_of_GDP`	Net_incurrence_of_liabilities_total_pct_of_GDP	float	0%	1	3.27942820663989
`Net_investment_in_nonfinancial_assets_current_LCU`	Net_investment_in_nonfinancial_assets_current_LCU	float	0%	1	190664224300.0
`Net_investment_in_nonfinancial_assets_pct_of_GDP`	Net_investment_in_nonfinancial_assets_pct_of_GDP	float	0%	1	4.10095235012315
`Net_lending_+___net_borrowing_-_current_LCU`	Net_lending_+___net_borrowing_-_current_LCU	float	0%	1	-115624813700.0
`Net_lending_+___net_borrowing_-_pct_of_GDP`	Net_lending_+___net_borrowing_-_pct_of_GDP	float	0%	1	-2.48694716177841
`Grants_and_other_revenue_current_LCU`	Grants_and_other_revenue_current_LCU	float	0%	1	878566108600.0
`Grants_and_other_revenue_pct_of_revenue`	Grants_and_other_revenue_pct_of_revenue	float	0%	1	69.7775628580529
`Revenue_excluding_grants_current_LCU`	Revenue_excluding_grants_current_LCU	float	0%	1	1259095435000.0
`Revenue_excluding_grants_pct_of_GDP`	Revenue_excluding_grants_pct_of_GDP	float	0%	1	27.0815901732467
`Taxes_on_goods_and_services_current_LCU`	Taxes_on_goods_and_services_current_LCU	float	0%	1	288809217000.0
`Taxes_on_goods_and_services_pct_of_revenue`	Taxes_on_goods_and_services_pct_of_revenue	float	0%	1	22.9378336996353
`Taxes_on_goods_and_services_pct_value_added_of_industry_and_services`	Taxes_on_goods_and_services_pct_value_added_of_industry_and_services	float	0%	1	6.75143760355926
`Customs_and_other_import_duties_current_LCU`	Customs_and_other_import_duties_current_LCU	float	0%	1	24498603510.0
`Customs_and_other_import_duties_pct_of_tax_revenue`	Customs_and_other_import_duties_pct_of_tax_revenue	float	0%	1	6.43803297247315
`Taxes_on_international_trade_current_LCU`	Taxes_on_international_trade_current_LCU	float	0%	1	24498603510.0
`Taxes_on_international_trade_pct_of_revenue`	Taxes_on_international_trade_pct_of_revenue	float	0%	1	1.94573046879485
`Other_taxes_current_LCU`	Other_taxes_current_LCU	float	0%	1	35645881880.0
`Other_taxes_pct_of_revenue`	Other_taxes_pct_of_revenue	float	0%	1	2.83107069481195
`Tax_revenue_current_LCU`	Tax_revenue_current_LCU	float	0%	1	380529326500.0
`Tax_revenue_pct_of_GDP`	Tax_revenue_pct_of_GDP	float	0%	1	8.18471656930006
+76 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Climate Change SAU-HDX-Saudi_Arabia_-_Climate_Change Indicators

1,526 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Climate Change — 1,526 rows, 48 columns

Loading data…

Field details — 48 fields (type, nulls, unique, samples)

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`Agricultural_land_sq._km`	Agricultural_land_sq._km	float	0%	1	1736374.17
`Agricultural_land_pct_of_land_area`	Agricultural_land_pct_of_land_area	float	0%	1	80.7732356758416
`Arable_land_pct_of_land_area`	Arable_land_pct_of_land_area	float	0%	1	1.59577287888021
`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	6915.43674321
`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	0.360796480880926
`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	379.483885011
`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	0.0197986700402435
`Land_area_where_elevation_is_below_5_meters_pct_of_total_land_area`	Land_area_where_elevation_is_below_5_meters_pct_of_total_land_area	float	0%	1	0.380595150921169
`Forest_area_sq._km`	Forest_area_sq._km	float	0%	1	9770.0
`Forest_area_pct_of_land_area`	Forest_area_pct_of_land_area	float	0%	1	0.454484134921779
`Agricultural_irrigated_land_pct_of_total_agricultural_land`	Agricultural_irrigated_land_pct_of_total_agricultural_land	float	0%	1	0.436251421547004
`Average_precipitation_in_depth_mm_per_year`	Average_precipitation_in_depth_mm_per_year	float	0%	1	59.0
`Cereal_yield_kg_per_hectare`	Cereal_yield_kg_per_hectare	float	0%	1	5121.7
`Foreign_direct_investment_net_inflows_pct_of_GDP`	Foreign_direct_investment_net_inflows_pct_of_GDP	float	0%	1	1.72104243015611
`Access_to_electricity_pct_of_population`	Access_to_electricity_pct_of_population	float	0%	1	100.0
`Electricity_production_from_coal_sources_pct_of_total`	Electricity_production_from_coal_sources_pct_of_total	float	0%	1	0.0
`Electricity_production_from_hydroelectric_sources_pct_of_total`	Electricity_production_from_hydroelectric_sources_pct_of_total	float	0%	1	0.0
`Electricity_production_from_natural_gas_sources_pct_of_total`	Electricity_production_from_natural_gas_sources_pct_of_total	float	0%	1	58.2400397288696
`Electricity_production_from_nuclear_sources_pct_of_total`	Electricity_production_from_nuclear_sources_pct_of_total	float	0%	1	0.0
`Electricity_production_from_oil_sources_pct_of_total`	Electricity_production_from_oil_sources_pct_of_total	float	0%	1	41.156148305196
`Renewable_electricity_output_pct_of_total_electricity_output`	Renewable_electricity_output_pct_of_total_electricity_output	float	0%	1	0.0653198949792136
`Electricity_production_from_renewable_sources_excluding_hydroelectric_kWh`	Electricity_production_from_renewable_sources_excluding_hydroelectric_kWh	float	0%	1	266950000.0
`Electricity_production_from_renewable_sources_excluding_hydroelectric_pct_of_tot`	Electricity_production_from_renewable_sources_excluding_hydroelectric_pct_of_tot	float	0%	1	0.0653198949792136
`Renewable_energy_consumption_pct_of_total_final_energy_consumption`	Renewable_energy_consumption_pct_of_total_final_energy_consumption	float	0%	1	0.1
`Energy_use_kg_of_oil_equivalent_per_usd1000_GDP_constant_2021_PPP`	Energy_use_kg_of_oil_equivalent_per_usd1000_GDP_constant_2021_PPP	float	0%	1	112.083343891122
`Electric_power_consumption_kWh_per_capita`	Electric_power_consumption_kWh_per_capita	float	0%	1	11835.3177587823
`Energy_use_kg_of_oil_equivalent_per_capita`	Energy_use_kg_of_oil_equivalent_per_capita	float	0%	1	7529.60103058863
`Droughts_floods_extreme_temperatures_pct_of_population_average_1990-2009`	Droughts_floods_extreme_temperatures_pct_of_population_average_1990-2009	float	0%	1	0.00566049114062582
`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	0.684171875209436
+18 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Energy and Mining SAU-HDX-Saudi_Arabia_-_Energy_and_Mining Indicators

1,431 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Energy And Mining — 1,431 rows, 41 columns

Loading data…

Field details — 41 fields (type, nulls, unique, samples)

Extension Fields (41) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`Energy_intensity_level_of_primary_energy_MJ_usd2021_PPP_GDP`	Energy_intensity_level_of_primary_energy_MJ_usd2021_PPP_GDP	float	0%	1	5.81
`Access_to_electricity_rural_pct_of_rural_population`	Access_to_electricity_rural_pct_of_rural_population	float	0%	1	100.0
`Access_to_electricity_urban_pct_of_urban_population`	Access_to_electricity_urban_pct_of_urban_population	float	0%	1	100.0
`Access_to_electricity_pct_of_population`	Access_to_electricity_pct_of_population	float	0%	1	100.0
`Electricity_production_from_coal_sources_pct_of_total`	Electricity_production_from_coal_sources_pct_of_total	float	0%	1	0.0
`Electricity_production_from_oil_gas_and_coal_sources_pct_of_total`	Electricity_production_from_oil_gas_and_coal_sources_pct_of_total	float	0%	1	99.3961880340656
`Electricity_production_from_hydroelectric_sources_pct_of_total`	Electricity_production_from_hydroelectric_sources_pct_of_total	float	0%	1	0.0
`Electric_power_transmission_and_distribution_losses_pct_of_output`	Electric_power_transmission_and_distribution_losses_pct_of_output	float	0%	1	9.07054978165835
`Electricity_production_from_natural_gas_sources_pct_of_total`	Electricity_production_from_natural_gas_sources_pct_of_total	float	0%	1	58.2400397288696
`Electricity_production_from_nuclear_sources_pct_of_total`	Electricity_production_from_nuclear_sources_pct_of_total	float	0%	1	0.0
`Electricity_production_from_oil_sources_pct_of_total`	Electricity_production_from_oil_sources_pct_of_total	float	0%	1	41.156148305196
`Renewable_electricity_output_pct_of_total_electricity_output`	Renewable_electricity_output_pct_of_total_electricity_output	float	0%	1	0.0653198949792136
`Electricity_production_from_renewable_sources_excluding_hydroelectric_kWh`	Electricity_production_from_renewable_sources_excluding_hydroelectric_kWh	float	0%	1	266950000.0
`Electricity_production_from_renewable_sources_excluding_hydroelectric_pct_of_tot`	Electricity_production_from_renewable_sources_excluding_hydroelectric_pct_of_tot	float	0%	1	0.0653198949792136
`Renewable_energy_consumption_pct_of_total_final_energy_consumption`	Renewable_energy_consumption_pct_of_total_final_energy_consumption	float	0%	1	0.1
`GDP_per_unit_of_energy_use_PPP_usd_per_kg_of_oil_equivalent`	GDP_per_unit_of_energy_use_PPP_usd_per_kg_of_oil_equivalent	float	0%	1	9.55801969633203
`GDP_per_unit_of_energy_use_constant_2021_PPP_usd_per_kg_of_oil_equivalent`	GDP_per_unit_of_energy_use_constant_2021_PPP_usd_per_kg_of_oil_equivalent	float	0%	1	8.92193224509253
`Energy_imports_net_pct_of_energy_use`	Energy_imports_net_pct_of_energy_use	float	0%	1	-178.200448812201
`Alternative_and_nuclear_energy_pct_of_total_energy_use`	Alternative_and_nuclear_energy_pct_of_total_energy_use	float	0%	1	0.09
`Fossil_fuel_energy_consumption_pct_of_total`	Fossil_fuel_energy_consumption_pct_of_total	float	0%	1	0.0
`Energy_use_kg_of_oil_equivalent_per_usd1000_GDP_constant_2021_PPP`	Energy_use_kg_of_oil_equivalent_per_usd1000_GDP_constant_2021_PPP	float	0%	1	112.083343891122
`Combustible_renewables_and_waste_pct_of_total_energy`	Combustible_renewables_and_waste_pct_of_total_energy	float	0%	1	0.00328298179138021
`Electric_power_consumption_kWh_per_capita`	Electric_power_consumption_kWh_per_capita	float	0%	1	11835.3177587823
`Energy_use_kg_of_oil_equivalent_per_capita`	Energy_use_kg_of_oil_equivalent_per_capita	float	0%	1	7529.60103058863
`Time_to_obtain_an_electrical_connection_days`	Time_to_obtain_an_electrical_connection_days	float	0%	1	5.515079975
`Firms_using_banks_to_finance_investment_pct_of_firms`	Firms_using_banks_to_finance_investment_pct_of_firms	float	0%	1	13.11058807
`Value_lost_due_to_electrical_outages_pct_of_sales_for_affected_firms`	Value_lost_due_to_electrical_outages_pct_of_sales_for_affected_firms	float	0%	1	0.0
`Adjusted_savings:_mineral_depletion_current_USusd`	Adjusted_savings:_mineral_depletion_current_USusd	float	0%	1	757807179.705662
`Adjusted_savings:_mineral_depletion_pct_of_GNI`	Adjusted_savings:_mineral_depletion_pct_of_GNI	float	0%	1	0.0341103819062524
+11 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Infrastructure SAU-HDX-Saudi_Arabia_-_Infrastructure Indicators

1,191 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Infrastructure — 1,191 rows, 43 columns

Loading data…

Field details — 43 fields (type, nulls, unique, samples)

Extension Fields (43) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`ICT_service_exports_BoP_current_USusd`	ICT_service_exports_BoP_current_USusd	float	0%	1	2166288253.6
`ICT_service_exports_pct_of_service_exports_BoP`	ICT_service_exports_pct_of_service_exports_BoP	float	0%	1	3.45004286026428
`Electricity_production_from_coal_sources_pct_of_total`	Electricity_production_from_coal_sources_pct_of_total	float	0%	1	0.0
`Electricity_production_from_hydroelectric_sources_pct_of_total`	Electricity_production_from_hydroelectric_sources_pct_of_total	float	0%	1	0.0
`Electric_power_transmission_and_distribution_losses_pct_of_output`	Electric_power_transmission_and_distribution_losses_pct_of_output	float	0%	1	9.07054978165835
`Electricity_production_from_natural_gas_sources_pct_of_total`	Electricity_production_from_natural_gas_sources_pct_of_total	float	0%	1	58.2400397288696
`Electricity_production_from_nuclear_sources_pct_of_total`	Electricity_production_from_nuclear_sources_pct_of_total	float	0%	1	0.0
`Electricity_production_from_oil_sources_pct_of_total`	Electricity_production_from_oil_sources_pct_of_total	float	0%	1	41.156148305196
`Electric_power_consumption_kWh_per_capita`	Electric_power_consumption_kWh_per_capita	float	0%	1	11835.3177587823
`Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_agriculture_pct_of_total_freshwater_withdrawal	float	0%	1	81.56355802
`Annual_freshwater_withdrawals_domestic_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_domestic_pct_of_total_freshwater_withdrawal	float	0%	1	13.05016928
`Annual_freshwater_withdrawals_industry_pct_of_total_freshwater_withdrawal`	Annual_freshwater_withdrawals_industry_pct_of_total_freshwater_withdrawal	float	0%	1	5.386272699
`Annual_freshwater_withdrawals_total_billion_cubic_meters`	Annual_freshwater_withdrawals_total_billion_cubic_meters	float	0%	1	23.38
`Annual_freshwater_withdrawals_total_pct_of_internal_resources`	Annual_freshwater_withdrawals_total_pct_of_internal_resources	float	0%	1	974.166666666667
`Renewable_internal_freshwater_resources_total_billion_cubic_meters`	Renewable_internal_freshwater_resources_total_billion_cubic_meters	float	0%	1	2.4
`Renewable_internal_freshwater_resources_per_capita_cubic_meters`	Renewable_internal_freshwater_resources_per_capita_cubic_meters	float	0%	1	74.5915552911147
`Industrial_design_applications_nonresident_by_count`	Industrial_design_applications_nonresident_by_count	float	0%	1	547.0
`Industrial_design_applications_resident_by_count`	Industrial_design_applications_resident_by_count	float	0%	1	853.0
`Trademark_applications_nonresident_by_count`	Trademark_applications_nonresident_by_count	float	0%	1	13719.0
`Trademark_applications_resident_by_count`	Trademark_applications_resident_by_count	float	0%	1	24411.0
`Air_transport_registered_carrier_departures_worldwide`	Air_transport_registered_carrier_departures_worldwide	float	0%	1	302451.4
`Air_transport_freight_million_ton-km`	Air_transport_freight_million_ton-km	float	0%	1	1036.791068
`Air_transport_passengers_carried`	Air_transport_passengers_carried	float	0%	1	47979994.0
`Railways_goods_transported_million_ton-km`	Railways_goods_transported_million_ton-km	float	0%	1	1852.472
`Railways_passengers_carried_million_passenger-km`	Railways_passengers_carried_million_passenger-km	float	0%	1	134.65
`Rail_lines_total_route-km`	Rail_lines_total_route-km	float	0%	1	2939.0
`Liner_shipping_connectivity_index_maximum_value_in_2004_=_100`	Liner_shipping_connectivity_index_maximum_value_in_2004_=_100	float	0%	1	69.4548803031
`Container_port_traffic_TEU:_20_foot_equivalent_units`	Container_port_traffic_TEU:_20_foot_equivalent_units	float	0%	1	10459765.0
`Mobile_cellular_subscriptions`	Mobile_cellular_subscriptions	float	0%	1	52482900.0
+13 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Aid Effectiveness SAU-HDX-Saudi_Arabia_-_Aid_Effectiveness Indicators

1,183 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Aid Effectiveness — 1,183 rows, 50 columns

Loading data…

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`Grants_excluding_technical_cooperation_BoP_current_USusd`	Grants_excluding_technical_cooperation_BoP_current_USusd	float	0%	1	14600000.0
`Technical_cooperation_grants_BoP_current_USusd`	Technical_cooperation_grants_BoP_current_USusd	float	0%	1	13260000.0
`Net_bilateral_aid_flows_from_DAC_donors_Australia_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Australia_current_USusd	float	0%	1	9999.99977648258
`Net_bilateral_aid_flows_from_DAC_donors_Austria_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Austria_current_USusd	float	0%	1	59999.9986588955
`Net_bilateral_aid_flows_from_DAC_donors_Belgium_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Belgium_current_USusd	float	0%	1	-209999.993443489
`Net_bilateral_aid_flows_from_DAC_donors_Canada_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Canada_current_USusd	float	0%	1	9999.99977648258
`Net_bilateral_aid_flows_from_DAC_donors_European_Union_institutions_current_USus`	Net_bilateral_aid_flows_from_DAC_donors_European_Union_institutions_current_USus	float	0%	1	9999.99977648258
`Net_bilateral_aid_flows_from_DAC_donors_Switzerland_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Switzerland_current_USusd	float	0%	1	70000.0002980232
`Net_bilateral_aid_flows_from_DAC_donors_Germany_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Germany_current_USusd	float	0%	1	1529999.97138977
`Net_bilateral_aid_flows_from_DAC_donors_Spain_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Spain_current_USusd	float	0%	1	9999.99977648258
`Net_bilateral_aid_flows_from_DAC_donors_Finland_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Finland_current_USusd	float	0%	1	59999.9986588955
`Net_bilateral_aid_flows_from_DAC_donors_France_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_France_current_USusd	float	0%	1	7039999.96185303
`Net_bilateral_aid_flows_from_DAC_donors_United_Kingdom_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_United_Kingdom_current_USusd	float	0%	1	759999.990463257
`Net_bilateral_aid_flows_from_DAC_donors_Greece_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Greece_current_USusd	float	0%	1	379999.995231628
`Net_bilateral_aid_flows_from_DAC_donors_Italy_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Italy_current_USusd	float	0%	1	59999.9986588955
`Net_bilateral_aid_flows_from_DAC_donors_Japan_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Japan_current_USusd	float	0%	1	-154039993.286133
`Net_bilateral_aid_flows_from_DAC_donors_Korea_Rep._current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Korea_Rep._current_USusd	float	0%	1	159999.996423721
`Net_bilateral_aid_flows_from_DAC_donors_Netherlands_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Netherlands_current_USusd	float	0%	1	50000.0007450581
`Net_bilateral_aid_flows_from_DAC_donors_Norway_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Norway_current_USusd	float	0%	1	19999.9995529652
`Net_bilateral_aid_flows_from_DAC_donors_Poland_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Poland_current_USusd	float	0%	1	29999.9993294477
`Net_bilateral_aid_flows_from_DAC_donors_Sweden_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Sweden_current_USusd	float	0%	1	39999.9991059303
`Net_bilateral_aid_flows_from_DAC_donors_Total_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_Total_current_USusd	float	0%	1	-143949993.366376
`Net_bilateral_aid_flows_from_DAC_donors_United_States_current_USusd`	Net_bilateral_aid_flows_from_DAC_donors_United_States_current_USusd	float	0%	1	150000.005960464
`Net_official_flows_from_UN_agencies_UNAIDS_current_USusd`	Net_official_flows_from_UN_agencies_UNAIDS_current_USusd	float	0%	1	0.0
`Net_official_flows_from_UN_agencies_UNICEF_current_USusd`	Net_official_flows_from_UN_agencies_UNICEF_current_USusd	float	0%	1	239999.994635582
`Net_official_flows_from_UN_agencies_UNHCR_current_USusd`	Net_official_flows_from_UN_agencies_UNHCR_current_USusd	float	0%	1	759999.990463257
`Net_official_flows_from_UN_agencies_UNDP_current_USusd`	Net_official_flows_from_UN_agencies_UNDP_current_USusd	float	0%	1	50000.0007450581
`Net_official_flows_from_UN_agencies_UNFPA_current_USusd`	Net_official_flows_from_UN_agencies_UNFPA_current_USusd	float	0%	1	-9999.99977648258
`Net_official_flows_from_UN_agencies_UNTA_current_USusd`	Net_official_flows_from_UN_agencies_UNTA_current_USusd	float	0%	1	720000.028610229
+20 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Human Development Indicators SAU-HDX-Saudi_Arabia_-_Human_Development_In Indicators

887 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Human Development Indicators — 887 rows, 33 columns

Loading data…

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

Extension Fields (33) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`abr`	abr	float	0%	1	11.114
`co2_prod`	co2_prod	float	0%	1	19.926
`diff_hdi_phdi`	diff_hdi_phdi	float	0%	1	26.0
`eys`	eys	float	0%	1	16.949
`eys_f`	eys_f	float	0%	1	17.868
`eys_m`	eys_m	float	0%	1	16.384
`gdi_group`	gdi_group	float	0%	1	3.0
`gii_rank`	gii_rank	float	0%	1	61.0
`gni_pc_f`	gni_pc_f	float	0%	1	20287.367
`gni_pc_m`	gni_pc_m	float	0%	1	69767.123
`gnipc`	gnipc	float	0%	1	50298.914
`hdi_f`	hdi_f	float	0%	1	0.855
`hdi_m`	hdi_m	float	0%	1	0.918
`hdi_rank`	hdi_rank	float	0%	1	37.0
`ineq_edu`	ineq_edu	float	0%	1	12.752
`ineq_le`	ineq_le	float	0%	1	5.142
`le`	le	float	0%	1	78.732
`le_f`	le_f	float	0%	1	81.156
`le_m`	le_m	float	0%	1	77.097
`lfpr_f`	lfpr_f	float	0%	1	34.61
`lfpr_m`	lfpr_m	float	0%	1	83.57
`mf`	mf	float	0%	1	23.529
`mmr`	mmr	float	0%	1	16.204
`mys`	mys	float	0%	1	11.606
`mys_f`	mys_f	float	0%	1	11.036
`mys_m`	mys_m	float	0%	1	11.967
`pop_total`	pop_total	float	0%	1	33.264
`pr_f`	pr_f	float	0%	1	19.868
`pr_m`	pr_m	float	0%	1	80.132
+3 more extension fields — download the CSV/Parquet to see them all.

SAU Saudi Arabia - Social Development SAU-HDX-Saudi_Arabia_-_Social_Development Indicators

806 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Social Development — 806 rows, 24 columns

Loading data…

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`Literacy_rate_youth_ages_15-24_gender_parity_index_GPI`	Literacy_rate_youth_ages_15-24_gender_parity_index_GPI	float	0%	1	1.0
`School_enrollment_primary_gross_gender_parity_index_GPI`	School_enrollment_primary_gross_gender_parity_index_GPI	float	0%	1	1.01462996006012
`School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI`	School_enrollment_primary_and_secondary_gross_gender_parity_index_GPI	float	0%	1	0.988870024681091
`School_enrollment_secondary_gross_gender_parity_index_GPI`	School_enrollment_secondary_gross_gender_parity_index_GPI	float	0%	1	0.961070001125336
`School_enrollment_tertiary_gross_gender_parity_index_GPI`	School_enrollment_tertiary_gross_gender_parity_index_GPI	float	0%	1	1.00602527047339
`Proportion_of_seats_held_by_women_in_national_parliaments_pct`	Proportion_of_seats_held_by_women_in_national_parliaments_pct	float	0%	1	19.8675496688742
`Prevalence_of_HIV_female_pct_ages_15-24`	Prevalence_of_HIV_female_pct_ages_15-24	float	0%	1	0.1
`Prevalence_of_HIV_male_pct_ages_15-24`	Prevalence_of_HIV_male_pct_ages_15-24	float	0%	1	0.1
`Vulnerable_employment_female_pct_of_female_employment_modeled_ILO_estimate`	Vulnerable_employment_female_pct_of_female_employment_modeled_ILO_estimate	float	0%	1	4.12600242996797
`Vulnerable_employment_male_pct_of_male_employment_modeled_ILO_estimate`	Vulnerable_employment_male_pct_of_male_employment_modeled_ILO_estimate	float	0%	1	1.13529126026222
`Labor_force_participation_rate_for_ages_15-24_female_pct_modeled_ILO_estimate`	Labor_force_participation_rate_for_ages_15-24_female_pct_modeled_ILO_estimate	float	0%	1	16.612
`Labor_force_participation_rate_for_ages_15-24_male_pct_modeled_ILO_estimate`	Labor_force_participation_rate_for_ages_15-24_male_pct_modeled_ILO_estimate	float	0%	1	43.89
`Labor_force_participation_rate_for_ages_15-24_total_pct_modeled_ILO_estimate`	Labor_force_participation_rate_for_ages_15-24_total_pct_modeled_ILO_estimate	float	0%	1	31.48
`Labor_force_participation_rate_female_pct_of_female_population_ages_15-64_modele`	Labor_force_participation_rate_female_pct_of_female_population_ages_15-64_modele	float	0%	1	34.89
`Labor_force_participation_rate_male_pct_of_male_population_ages_15-64_modeled_IL`	Labor_force_participation_rate_male_pct_of_male_population_ages_15-64_modeled_IL	float	0%	1	84.47
`Labor_force_participation_rate_total_pct_of_total_population_ages_15-64_modeled_`	Labor_force_participation_rate_total_pct_of_total_population_ages_15-64_modeled_	float	0%	1	66.478
`Labor_force_participation_rate_female_pct_of_female_population_ages_15+_modeled_`	Labor_force_participation_rate_female_pct_of_female_population_ages_15+_modeled_	float	0%	1	33.573
`Labor_force_participation_rate_male_pct_of_male_population_ages_15+_modeled_ILO_`	Labor_force_participation_rate_male_pct_of_male_population_ages_15+_modeled_ILO_	float	0%	1	83.331
`Unemployment_female_pct_of_female_labor_force_modeled_ILO_estimate`	Unemployment_female_pct_of_female_labor_force_modeled_ILO_estimate	float	0%	1	9.687
`Unemployment_male_pct_of_male_labor_force_modeled_ILO_estimate`	Unemployment_male_pct_of_male_labor_force_modeled_ILO_estimate	float	0%	1	1.489
`Adolescent_fertility_rate_births_per_1000_women_ages_15-19`	Adolescent_fertility_rate_births_per_1000_women_ages_15-19	float	0%	1	11.114
`Life_expectancy_at_birth_female_years`	Life_expectancy_at_birth_female_years	float	0%	1	81.156
`Life_expectancy_at_birth_male_years`	Life_expectancy_at_birth_male_years	float	0%	1	77.097

SAU Saudi Arabia - Urban Development SAU-HDX-Saudi_Arabia_-_Urban_Development Indicators

631 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Urban Development — 631 rows, 18 columns

Loading data…

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SAU
`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	379.483885011
`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	0.0197986700402435
`Urban_land_area_sq._km`	Urban_land_area_sq._km	float	0%	1	7756.634131739
`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	53.1486013629285
`PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p`	PM2.5_air_pollution_population_exposed_to_levels_exceeding_WHO_guideline_value_p	float	0%	1	100.0
`Population_density_people_per_sq._km_of_land_area`	Population_density_people_per_sq._km_of_land_area	float	0%	1	15.6779493787476
`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	2.52384468700662
`Population_living_in_slums_pct_of_urban_population`	Population_living_in_slums_pct_of_urban_population	float	0%	1	0.55
`Population_in_largest_city`	Population_in_largest_city	float	0%	1	7952861.0
`Population_in_the_largest_city_pct_of_urban_population`	Population_in_the_largest_city_pct_of_urban_population	float	0%	1	26.1691656687846
`Population_in_urban_agglomerations_of_more_than_1_million`	Population_in_urban_agglomerations_of_more_than_1_million	float	0%	1	18193304.0
`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	50.6537518509345
`Mortality_caused_by_road_traffic_injury_per_100000_population`	Mortality_caused_by_road_traffic_injury_per_100000_population	float	0%	1	35.9
`Urban_population_growth_annual_pct`	Urban_population_growth_annual_pct	float	0%	1	4.81983574967141
`Urban_population`	Urban_population	float	0%	1	29812993.0
`Urban_population_pct_of_total_population`	Urban_population_pct_of_total_population	float	0%	1	84.4554020211443

SAU UN SDG Global Database SAU-SDG Development Indicators

486 rows · 1 table(s) UN SDG Global Database 0 1 2 3 17 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 — 1 table(s)

SAU Sdg - Country Profile — 486 rows, 21 columns

Loading data…

Field details — 21 fields (type, nulls, unique, samples)

Standards-Aligned Fields (17)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`forest_area_pct`	Forest area percent	float	SEL	98%	1	1.29, 1.29
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	67%	33	19.78542729, 9655.0, 18.31785979, 4401.0, 21.15878755
`slum_population_pct`	Slum population percent	float	SEL	100%	-	-
`uhc_service_coverage_index`	Uhc service coverage index	float	SEL	94%	5	74.0, 75.0, 76.0, 77.0, 78.0
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	94%	6	20.03733, 18.80577, 17.56665, 16.48313, 15.50259
`pre_primary_participation_pct`	Pre primary participation percent	float	SEL	100%	-	-
`undernourishment_pct`	Undernourishment percent	float	SEL	95%	2	0.8, 0.9, 0.9, 0.9, 0.9
`unemployment_rate_pct`	Unemployment rate percent	float	SEL	83%	17	4.57, 9.34, 3.78, 4.62, 9.14
`mobile_subscriptions_per_100`	Mobile subscriptions per 100	float	SEL	97%	2	92.0, 92.0, 96.0
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	94%	6	11.53351592, 10.85564878, 10.18799295, 9.571969434, 9.024833085
`stunting_under5_pct`	Stunting under5 percent	float	SEL	84%	16	236.9, 100.9, 136.0, 237.4, 100.8
`internet_penetration_pct`	Internet penetration percent	float	SEL	94%	6	2.2, 4.7, 6.4, 8.0, 10.2
`co2_emissions_per_capita`	Co2 emissions per capita	float	SEL	100%	-	-
`literacy_rate_pct`	Literacy rate percent	float	SEL	76%	23	95.91, 79.35, 76.34, 20.66, 93.71
`basic_sanitation_pct`	Basic sanitation percent	float	SEL	94%	1	0.044658553, 0.044658553, 0.044658553, 0.044658553, 0.044658553
`electricity_access_pct`	Electricity access percent	float	SEL	94%	1	100.0, 100.0, 100.0, 100.0, 100.0
`wasting_under5_pct`	Wasting under5 percent	float	SEL	83%	17	80.1, 36.3, 43.8, 88.0, 39.8

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

Field Name	Label	Type	Nulls	Unique	Samples
`area_code_m49`	area_code_m49	float	0%	1	682, 682, 682, 682, 682
`year`	year	float	0%	7	1990.0, 2000.0, 2000.0, 2000.0, 2000.0
`sex`	sex	string	0%	4	, , BOTHSEX, BOTHSEX, BOTHSEX
`age_group`	age_group	string	0%	9	, , , 15+, 15-24

SAU Saudi arabia - Demographic, Health, Education and SAU-HDX-Saudi_arabia_-_Demographic,_Health, Indicators

329 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Demographic, Health, Education And — 329 rows, 11 columns

Loading data…

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`category`	category	string	0%	5	Population, Population, Population, Population, Population
`indicator`	indicator	string	0%	15	avg_annual_rate_change_percentage_urban,...
`indicator_friendly`	indicator_friendly	string	0%	15	Average annual rate of change of population – Urban,...
`type_data`	type_data	string	0%	4	p, p, p, p, p
`latitude`	latitude	string	0%	6	25, 25, 25, 25, 25
`longitude`	longitude	string	0%	6	45, 45, 45, 45, 45
`region_id`	region_id	string	0%	2	589, 589, 589, 589, 589
`country_id`	country_id	string	0%	2	SA, SA, SA, SA, SA
`name`	name	string	0%	6	Saudi arabia, Saudi arabia, Saudi arabia, Saudi arabia,...
`year`	year	string	0%	24	1985, 1955, 2020, 1990, 1960
`value`	value	string	0%	77	1.06, 3.7, 0.24, 0.54, 4.31

SAU Global Data Lab SAU-GDL Development Indices

204 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 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)

SAU GDL - Subnational Indices — 204 rows, 11 columns

Loading data…

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU, SAU, SAU, SAU, SAU
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	6	Total, Center (Riadh, Qassim), Eastern province, North...
`human_development_index`	Human development index	float	SEL	0%	79	0.702, 0.722, 0.692, 0.714, 0.686
`health_index`	Health index	float	SEL	0%	17	0.752, 0.752, 0.752, 0.752, 0.752
`education_index`	Education index	float	SEL	0%	80	0.503, 0.538, 0.475, 0.504, 0.466
`income_index`	Income index	float	SEL	0%	54	0.915, 0.931, 0.927, 0.96, 0.921
`life_expectancy`	Life expectancy	float	SEL	0%	17	68.87, 68.87, 68.87, 68.87, 68.87
`mean_years_schooling`	Mean years schooling	float	SEL	0%	98	7.549, 8.066, 7.132, 7.557, 6.995

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	17	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

SAU Administrative Divisions (13 regions + 147 governorates) SAU-GEOBOUNDARIES-ADMIN Admin Boundaries

160 rows · 2 table(s) geoBoundaries 0 1 2 3 6 SEL 4 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)

SAU Regions (Admin 1) — 13 rows, 5 columns

Loading data…

Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`shapeName`	Admin name	string	SEL	0%	13	Eastern Region, Najran Region, Northern Borders Region,...
`shapeISO`	Country code	string	SEL	0%	13	SA-04, SA-10, SA-08, SA-06, SA-01
`shapeID`	Admin code	string	SEL	0%	13	25081817B34473806557189, 25081817B54479367627811,...

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

Field Name	Label	Type	Nulls	Unique	Samples
`shapeGroup`	shapeGroup	string	0%	1	SAU, SAU, SAU, SAU, SAU
`shapeType`	shapeType	string	0%	1	ADM1, ADM1, ADM1, ADM1, ADM1

2 Admin 2 — 1 table(s)

SAU Governorates (Admin 2) — 147 rows, 5 columns

Loading data…

Field details — 5 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`shapeName`	Admin name	string	SEL	0%	100	Al Khubar Governorate, Abqaiq Governorate, Al Ahsa...
`shapeISO`	Country code	string	SEL	100%	-	-
`shapeID`	Admin code	string	SEL	0%	100	3984122B30508649206602, 3984122B4619800555153,...

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

Field Name	Label	Type	Nulls	Unique	Samples
`shapeGroup`	shapeGroup	string	0%	1	SAU, SAU, SAU, SAU, SAU
`shapeType`	shapeType	string	0%	1	ADM2, ADM2, ADM2, ADM2, ADM2

SAU UNHCR Refugee Data Finder SAU-UNHCR Migration

150 rows · 2 table(s) 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)

SAU UNHCR - Hosted Populations — 75 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%	-	-

SAU UNHCR - Origin Populations — 75 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%	-	-

SAU World Bank Open Data SAU-WORLD_BANK Development Indicators

132 rows · 2 table(s) 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 — 2 table(s)

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

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SA, SA, SA, SA, SA
`population_count`	Population count	float	SEL	2%	65	2435403.0, 2526347.0, 2620910.0, 2719341.0, 2821968.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	45.31, 45.88, 46.469, 47.086, 47.732
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	717.796628958557, 760.311740320004, 812.926247668855,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	89%	7	70.8199996948242, 79.3499984741211, 82.8600006103516,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	21%	52	159.6, 149.3, 139.8, 130.7, 122.3
`poverty_headcount_pct`	Poverty headcount percent	string	SEL	100%	-	-

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	Saudi Arabia, Saudi Arabia, Saudi Arabia, Saudi Arabia,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

SAU World Bank - Health Indicators — 66 rows, 14 columns

Loading data…

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SA, SA, SA, SA, SA
`life_expectancy`	Life expectancy	float	SEL	3%	64	45.31, 45.88, 46.469, 47.086, 47.732
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	35	23.3, 22.1, 21.0, 19.9, 18.6
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	21%	52	159.6, 149.3, 139.8, 130.7, 122.3
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	27	40.0, 38.0, 36.0, 34.0, 32.0
`fertility_rate`	Fertility rate	float	SEL	3%	61	7.626, 7.634, 7.636, 7.654, 7.672
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	51.538, 51.374, 51.138, 50.983, 50.811
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	21.094, 20.601, 20.083, 19.549, 18.998
`physicians_per_1000`	Physicians per 1000	float	SEL	61%	26	0.061, 0.106, 0.134, 0.55, 1.346
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	59%	23	0.774723947048187, 1.1813999414444, 1.45819997787476,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	16	41.0, 53.0, 62.0, 67.0, 76.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.2115941, 4.46173573, 4.2493763, 3.97909737, 3.58400965

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	Saudi Arabia, Saudi Arabia, Saudi Arabia, Saudi Arabia,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

SAU LandScan Global (ORNL) SAU-LANDSCAN Modeled Population

59 rows · 3 table(s) 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)

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

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Saudi Arabia
`admin_code`	Admin code	string	SEL	0%	1	44563762B31563107311120
`area_sqkm`	Area sqkm	float	SEL	0%	1	1925077.4429
`pop_2024`	Population count	integer	SEL	0%	1	36441632
`pop_density_2024`	Population density	float	SEL	0%	1	18.93

1 Admin 1 — 1 table(s)

SAU LandScan - Population Admin1 (admin_1) — 13 rows, 7 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU, SAU, SAU, SAU, SAU
`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%	13	Makkah Region, Riyadh Region, Eastern Region, 'Asir...
`admin_code`	Admin code	string	SEL	0%	13	25081817B13159281784364, 25081817B56088895138556,...
`area_sqkm`	Area sqkm	float	SEL	0%	13	137848.0295, 375554.6537, 558141.0045, 77241.2103, 146887.7404
`pop_2024`	Population count	integer	SEL	0%	13	9301593, 9094899, 5278532, 2657418, 2365007
`pop_density_2024`	Population density	float	SEL	0%	13	67.48, 24.22, 9.46, 34.4, 16.1

Locality Locality — 1 table(s)

SAU LandScan - Cities (locality) — 45 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU, SAU, SAU, SAU, SAU
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	45	Riyadh, Jeddah, Dammam, Mecca, Medina
`admin_code`	Admin code	integer	SEL	0%	45	3026, 1112, 3576, 1531, 749
`area_sqkm`	Area sqkm	float	SEL	0%	45	1103.1596, 692.5837, 505.9376, 231.8543, 260.8438
`pop_2024`	Population count	integer	SEL	0%	45	5604462, 3965732, 2036093, 1449115, 948649
`pop_density_2024`	Population density	float	SEL	0%	45	5080.37, 5726.0, 4024.4, 6250.11, 3636.85

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%	45	7970319, 4842257, 2634829, 1876451, 1565146
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	44	0.703, 0.819, 0.773, 0.772, 0.606

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

45 rows · 1 table(s) 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)

SAU GHS-UCDB - Cities (locality) — 45 rows, 10 columns

Loading data…

Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	45	Riyadh, Jeddah, Dammam, Mecca, Medina
`country_code`	Country code	string	SEL	0%	1	SAU, SAU, SAU, SAU, SAU
`population`	Population count	integer	SEL	0%	45	7970319, 4842257, 2634829, 1876451, 1565146

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	45	3026, 1112, 3576, 1531, 749
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Saudi Arabia, Saudi Arabia, Saudi Arabia, Saudi Arabia,...
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

SAU OpenFactBook SAU-OPENFACTBOOK Country Profile

16 rows · 16 table(s) OpenFactBook 0 1 2 3 98 SEL 3 CCL 582 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 — 16 table(s)

SAU OpenFactBook - Communications — 1 rows, 22 columns

Loading data…

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	20.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	132.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.sa
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	100.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	44.0
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	6.788 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	6.788
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	20 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	52.5 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	52.5
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	132 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-controlled broadcast media; state-run TV operates...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	4.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	100% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	14.5 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	14.5
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	44 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

SAU OpenFactBook - Economy — 1 rows, 145 columns

Loading data…

Field details — 145 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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	62700.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	1.238
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (140) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	high-income, oil-based Middle Eastern economy; OPEC...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	2030.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$2.213 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	2.213
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$2.173 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	2.173
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$2.161 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	2.161
`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	1.8% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	1.8
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	0.5% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	0.5
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	12% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	12.0
`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	$62,700 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$64,500 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	64500.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$67,200 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	67200.0
`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	$1.238 trillion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	1.7% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	1.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	2.3% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	2.3
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	2.5% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	2.5
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+110 more extension fields — download the CSV/Parquet to see them all.

SAU OpenFactBook - Energy — 1 rows, 43 columns

Loading data…

Field details — 43 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	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (39) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	119.62 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	119.62
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	383.512 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	383.512
`electricity_exports_text`	electricity_exports_text	string	0%	1	352 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	352.0
`electricity_imports_text`	electricity_imports_text	string	0%	1	308 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	308.0
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	38.23 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	38.23
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	99.3% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	99.3
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.3% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.3
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	0.4% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	0.4
`coal_consumption_text`	coal_consumption_text	string	0%	1	66,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	66000.0
`coal_exports_text`	coal_exports_text	string	0%	1	500 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	500.0
`coal_imports_text`	coal_imports_text	string	0%	1	223,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	223000.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	11.174 million bbl/day (2023 est.)
`petroleum_total_petroleum_production_numeric`	petroleum_total_petroleum_production_numeric	float	0%	1	11.174
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	3.524 million bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	3.524
`petroleum_crude_oil_estimated_reserves_text`	petroleum_crude_oil_estimated_reserves_text	string	0%	1	258.6 billion barrels (2021 est.)
`petroleum_crude_oil_estimated_reserves_numeric`	petroleum_crude_oil_estimated_reserves_numeric	float	0%	1	258.6
`natural_gas_production_text`	natural_gas_production_text	string	0%	1	121.219 billion cubic meters (2023 est.)
+9 more extension fields — download the CSV/Parquet to see them all.

SAU OpenFactBook - Environment — 1 rows, 59 columns

Loading data…

Field details — 59 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	80.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	1.3
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	85.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.69
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	16.126
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (51) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	desertification; depletion of underground water...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	harsh, dry desert with great temperature extremes
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	80.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 1.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	1.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 79.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	79.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	1.3% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	17.9% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	17.9
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	85% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.69% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	656.511 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	656.511
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	384,000 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	384000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	418.326 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	418.326
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	237.801 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	237.801
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	60.7 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	60.7
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	1,743.8 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	1743.8
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	162.9 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	162.9
+21 more extension fields — download the CSV/Parquet to see them all.

SAU OpenFactBook - Ethnic Groups — 1 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`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	Saudi(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Saudi or Saudi Arabian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Arab 90%, Afro-Asian 10%
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	90.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

SAU OpenFactBook - Geography — 1 rows, 57 columns

Loading data…

Field details — 57 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	2149690.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	2149690.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	4272.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	2640.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	3000.0
`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	80.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	1.3
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	7575.0
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Middle East, bordering the Persian Gulf and the Red Sea,...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	25 00 N, 45 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	25.0
`map_references_text`	map_references_text	string	0%	1	Middle East
`area_total_text`	area_total_text	string	0%	1	2,149,690 sq km
`area_land_text`	area_land_text	string	0%	1	2,149,690 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly more than one-fifth the size of the US
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	4,272 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Iraq 811 km; Jordan 731 km; Kuwait 221 km; Oman 658 km;...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	811.0
`coastline_text`	coastline_text	string	0%	1	2,640 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_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	18 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	18.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	not specified
`climate_text`	climate_text	string	0%	1	harsh, dry desert with great temperature extremes
`terrain_text`	terrain_text	string	0%	1	mostly sandy desert
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	As Sarawat range, 3,000 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Persian Gulf 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	665 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	665.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, natural gas, iron ore, gold, copper
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	80.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 1.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	1.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 79.1% (2023 est.)
+14 more extension fields — download the CSV/Parquet to see them all.

SAU OpenFactBook - Government — 1 rows, 97 columns

Loading data…

Field details — 97 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	SAU
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (95) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Kingdom of Saudi Arabia
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Saudi Arabia
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Al Mamlakah al Arabiyah as Suudiyah
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Al Arabiyah as Suudiyah
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	named after the ruling dynasty of the country, the House...
`government_type_text`	government_type_text	string	0%	1	absolute monarchy
`capital_name_text`	capital_name_text	string	0%	1	Riyadh
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	24 39 N, 46 42 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	24.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+3 (8 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	3.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name derives from the Arabic word riyadh, meaning...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	13 regions (manatiq, singular - mintaqah); Al Bahah, Al...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	13.0
`legal_system_text`	legal_system_text	string	0%	1	Islamic (sharia) system with some elements of Egyptian,...
`constitution_history_text`	constitution_history_text	string	0%	1	1 March 1992 -- Basic Law of Government, issued by royal...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the king directly or proposed to the king by...
`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	the father must be a citizen of Saudi Arabia; a child...
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal for municipal elections
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	King SALMAN bin Abd al-Aziz Al Saud (since 23 January 2015)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	23.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Crown Prince and Prime Minister MUHAMMAD BIN SALMAN bin...
`executive_branch_head_of_government_numeric`	executive_branch_head_of_government_numeric	float	0%	1	27.0
+65 more extension fields — download the CSV/Parquet to see them all.

SAU OpenFactBook - Introduction — 1 rows, 7 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`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	Saudi Arabia is the birthplace of Islam and home to...
`background_numeric`	background_numeric	float	0%	1	1932.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

SAU OpenFactBook - Languages — 1 rows, 7 columns

Loading data…

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Arabic (official)
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	كتاب حقائق العالم، المصدر الذي لا يمكن الاستغناء عنه...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

SAU OpenFactBook - Migration — 1 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`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
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	4,355 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	4355.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	70,000 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	70000.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

SAU OpenFactBook - Military And Security — 1 rows, 25 columns

Loading data…

Field details — 25 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	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — 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	the Saudi Arabian Armed Forces (SAAF) are divided into...
`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	7.1% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	7.1
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	7% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	7.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	6.5% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	6.5
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	7% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	7.0
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	8% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	8.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 250,000 active Saudi Armed Forces,...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	250000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the inventory of the Saudi military forces, including...
`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	voluntary military service for men (17-40) and women...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	17.0
`military_note_text`	military_note_text	string	0%	1	Saudi Arabia's security concerns include border...
`military_note_numeric`	military_note_numeric	float	0%	1	1973.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

SAU OpenFactBook - People And Society — 1 rows, 145 columns

Loading data…

Field details — 145 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	36544431.0
`population_male_numeric`	Population male	float	SEL	0%	1	20700838.0
`population_female_numeric`	Population female	float	SEL	0%	1	15843593.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	22.9
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	72.7
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	4.4
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	37.5
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	31.5
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	6.1
`median_age_total_numeric`	Median age	float	SEL	0%	1	32.8
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.72
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	13.41
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	3.51
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	7.35
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	85.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.69
`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	1.31
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	7.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	11.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	77.2
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.84
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.9
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	3.41
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	2.2
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	97.9
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (116) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	36,544,431 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	20,700,838
`population_female_text`	population_female_text	string	0%	1	15,843,593
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	22.9% (male 4,266,720/female 4,097,270)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	72.7% (male 15,577,133/female 10,994,061)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	4.4% (2024 est.) (male 856,985/female 752,262)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	37.5 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	31.5 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	6.1 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	16.5 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	16.5
`median_age_total_text`	median_age_total_text	string	0%	1	32.8 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	34.6 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	34.6
`median_age_female_text`	median_age_female_text	string	0%	1	29.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	29.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.72% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	13.41 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	3.51 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	7.35 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	historically a population that was mostly nomadic or...
`population_distribution_numeric`	population_distribution_numeric	float	0%	1	1930.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	85% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.69% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	7.682 million RIYADH (capital), 4.863 million Jeddah,...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	7.682
`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	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.42 male(s)/female
+86 more extension fields — download the CSV/Parquet to see them all.

SAU OpenFactBook - Religions — 1 rows, 13 columns

Loading data…

Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	-
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	-
`composition_ethnicity_primary_label_synth`	Arab	string	CCL	0%	-	Arab

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 (official; citizens are 85-90% Sunni and 10-12%...
`religions_numeric`	religions_numeric	float	0%	1	85.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

Pending (3) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_ethnicity_arab_pct_synth`	Arab	numeric	0%	-	90.0
`composition_ethnicity_afro_asian_pct_synth`	Afro-Asian	numeric	0%	-	10.0
`composition_ethnicity_primary_share_pct_synth`	Arab	numeric	0%	-	90.0

SAU OpenFactBook - Space — 1 rows, 11 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`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	Saudi Space Agency (SSA; elevated to agency level from...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2018.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a national space strategy (Vision 2030) that seeks...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2030.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1985 - first communications satellite (Arabsat-1A) built...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1985.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

SAU OpenFactBook - Terrorism — 1 rows, 6 columns

Loading data…

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	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`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 (ISIS); al-Qa’ida
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

SAU OpenFactBook - Transportation — 1 rows, 31 columns

Loading data…

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	HZ
`airports_numeric`	Airports count	float	SEL	0%	1	90.0
`country_code`	Country code	string	SEL	0%	1	SAU
`country_name`	Country name	string	SEL	0%	1	Saudi Arabia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (26) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	90 (2025)
`heliports_text`	heliports_text	string	0%	1	69 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	69.0
`railways_total_text`	railways_total_text	string	0%	1	5,410 km (2016)
`railways_total_numeric`	railways_total_numeric	float	0%	1	5410.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	5,410 km (2016) 1.435-m gauge (with branch lines and sidings)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	5410.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	433 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	433.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 9, container ship 1, general cargo 20, oil...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	9.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	16 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	16.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	1
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	1.0
`ports_small_text`	ports_small_text	float	0%	1	7
`ports_small_numeric`	ports_small_numeric	float	0%	1	7.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	8
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	8.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	10
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	10.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Dammam, Duba, Jiddah, Jizan, Ju Aymah Oil Terminal, Ras...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	middle-east/sa.json

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

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

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

0 Admin 0 — 1 table(s)

SAU Cod Ps - Sau 2022 Census (admin_0) — 1 rows, 70 columns

Loading data…

Field details — 70 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	SA
`region_name`	Region name	string	SEL	0%	1	Saudi Arabia
`F_TL`	Female population	integer	SEL	0%	1	12496629
`M_TL`	Male population	integer	SEL	0%	1	19678595
`T_TL`	Total population	integer	SEL	0%	1	32175224

Pending (65) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2022
`F_00_04`	Female population age 0-4	integer	0%	1	1263917
`F_05_09`	Female population age 5-9	integer	0%	1	1354766
`F_10_14`	Female population age 10-14	integer	0%	1	1249029
`F_15_19`	Female population age 15-19	integer	0%	1	1079884
`F_20_24`	Female population age 20-24	integer	0%	1	1050547
`F_25_29`	Female population age 25-29	integer	0%	1	1242388
`F_30_34`	Female population age 30-34	integer	0%	1	1250860
`F_35_39`	Female population age 35-39	integer	0%	1	1113283
`F_40_44`	Female population age 40-44	integer	0%	1	839031
`F_45_49`	Female population age 45-49	integer	0%	1	592256
`F_50_54`	Female population age 50-54	integer	0%	1	463843
`F_55_59`	Female population age 55-59	integer	0%	1	351281
`F_60_64`	Female population age 60-64	integer	0%	1	253046
`F_65_69`	Female population age 65-69	integer	0%	1	156115
`F_70_74`	Female population age 70-74	integer	0%	1	94864
`F_75_79`	Female population age 75-79	integer	0%	1	64100
`F_80_84`	Female population age 80-84	integer	0%	1	40686
`F_85_89`	Female population age 85-89	integer	0%	1	20470
`F_90_94`	Female population age 90-94	integer	0%	1	9200
`F_95_99`	Female population age 95-99	integer	0%	1	3893
`F_100Plus`	Female population age 100+	integer	0%	1	3170
`M_00_04`	Male population age 0-4	integer	0%	1	1314242
`M_05_09`	Male population age 5-9	integer	0%	1	1407551
`M_10_14`	Male population age 10-14	integer	0%	1	1297385
`M_15_19`	Male population age 15-19	integer	0%	1	1116816
`M_20_24`	Male population age 20-24	integer	0%	1	1565435
`M_25_29`	Male population age 25-29	integer	0%	1	2503327
`M_30_34`	Male population age 30-34	integer	0%	1	2641972
+35 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

SAU Cod Ps - Sau 2022 Census (admin_1) — 13 rows, 70 columns

Loading data…

Field details — 70 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	13	SA14, SA11, SA08, SA12, SA03
`region_name`	Region name	string	SEL	0%	13	`Asir, Al Bahah, Al Hudud ash Shamaliyah, Al Jawf, Al Madinah
`F_TL`	Female population	integer	SEL	0%	13	823254, 144916, 159045, 250135, 859866
`M_TL`	Male population	integer	SEL	0%	13	1201031, 194258, 214532, 345687, 1278117
`T_TL`	Total population	integer	SEL	0%	13	2024285, 339174, 373577, 595822, 2137983

Pending (65) — 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	2022, 2022, 2022, 2022, 2022
`F_00_04`	Female population age 0-4	integer	0%	13	86076, 13905, 20196, 35470, 92536
`F_05_09`	Female population age 5-9	integer	0%	13	93547, 16234, 20538, 35016, 97216
`F_10_14`	Female population age 10-14	integer	0%	13	89842, 15738, 17737, 29566, 91346
`F_15_19`	Female population age 15-19	integer	0%	13	80089, 13866, 14648, 23021, 78252
`F_20_24`	Female population age 20-24	integer	0%	13	70589, 11620, 13565, 20968, 73438
`F_25_29`	Female population age 25-29	integer	0%	13	72715, 11446, 14994, 22434, 79175
`F_30_34`	Female population age 30-34	integer	0%	13	72725, 11901, 14226, 20599, 79749
`F_35_39`	Female population age 35-39	integer	0%	13	67430, 11884, 12524, 17799, 71754
`F_40_44`	Female population age 40-44	integer	0%	13	52938, 9903, 9305, 13194, 53914
`F_45_49`	Female population age 45-49	integer	0%	13	37683, 7009, 6337, 9392, 38174
`F_50_54`	Female population age 50-54	integer	0%	13	29511, 5688, 4665, 7480, 31603
`F_55_59`	Female population age 55-59	integer	0%	13	22073, 4579, 3456, 5395, 24029
`F_60_64`	Female population age 60-64	integer	0%	13	15812, 3352, 2374, 3673, 17581
`F_65_69`	Female population age 65-69	integer	0%	12	10451, 2299, 1574, 2299, 11692
`F_70_74`	Female population age 70-74	integer	0%	13	7801, 1733, 1153, 1415, 7385
`F_75_79`	Female population age 75-79	integer	0%	13	5808, 1473, 754, 1048, 5243
`F_80_84`	Female population age 80-84	integer	0%	13	3861, 1009, 487, 679, 3438
`F_85_89`	Female population age 85-89	integer	0%	13	2218, 661, 277, 365, 1799
`F_90_94`	Female population age 90-94	integer	0%	13	1110, 324, 124, 180, 792
`F_95_99`	Female population age 95-99	integer	0%	12	499, 149, 58, 58, 395
`F_100Plus`	Female population age 100+	integer	0%	13	476, 143, 53, 84, 355
`M_00_04`	Male population age 0-4	integer	0%	13	89700, 14292, 21493, 36359, 95669
`M_05_09`	Male population age 5-9	integer	0%	13	97241, 16718, 21322, 36051, 100259
`M_10_14`	Male population age 10-14	integer	0%	13	92719, 16437, 18266, 30401, 94512
`M_15_19`	Male population age 15-19	integer	0%	13	83336, 14215, 14774, 23527, 81401
`M_20_24`	Male population age 20-24	integer	0%	13	97290, 15217, 17474, 26933, 103970
`M_25_29`	Male population age 25-29	integer	0%	13	143912, 20851, 25486, 38384, 159005
`M_30_34`	Male population age 30-34	integer	0%	13	147078, 21944, 25299, 39371, 164382
+35 more pending fields — download the CSV/Parquet to see them all.

SAU Glottolog Language Catalog SAU-GLOTTOLOG Language

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

SAU Glottolog - Languages — 14 rows, 16 columns

Loading data…

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	14	anci1245, east2690, faif1234, gulf1241, hadr1236
`name`	Name	string	CCL	0%	14	Ancient North Arabian, Eastern Egyptian Bedawi Arabic,...
`iso639_3`	Iso639 3	string	CCL	14%	12	xna, avl, fif, afb, ayh
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	5	afro1255, afro1255, afro1255, afro1255, afro1255
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	11	arab1394, egyp1251, mode1270, nort3402, arab1393
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	8	['SA'], ['EG', 'IL', 'JO', 'PS', 'SA'], ['SA'], ['AE',...
`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%	7	6, 4, 0, 8, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	14%	12	29.044, 29.6742, 17.292, 30.17, 15.4468
`longitude`	longitude	float	14%	12	39.776, 33.6113, 43.148, 47.5, 48.6524
`classification`	classification	string	0%	1	[], [], [], [], []

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

13 rows · 1 table(s) 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)

SAU Mobility by Region — 13 rows, 11 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SA, SA, SA, SA, SA
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	SAU, SAU, SAU, SAU, SAU

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	13	18.07, 9.27, -7.37, 2.11, 15.75
`grocery`	grocery	float	0%	13	51.23, 8.36, 11.47, 18.62, 41.62
`parks`	parks	float	0%	13	9.15, -7.07, -4.69, 10.94, 39.67
`transit`	transit	float	0%	11	0.0, -44.18, -38.1, -16.08, -7.16
`workplaces`	workplaces	float	0%	13	-8.13, -7.57, -8.46, -10.25, -1.0
`residential`	residential	float	0%	13	2.77, 5.34, 8.75, 7.44, 6.3
`region`	region	string	0%	13	Al Bahah Province, Al Jowf Province, Al Madinah...
`observation_count`	observation_count	integer	0%	3	968, 971, 974, 974, 974

SAU Saudi Arabia - Risk Assessment Indicators SAU-HDX-Saudi_Arabia_-_Risk_Assessment_Indi Indicators

13 rows · 1 table(s) HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

SAU Saudi Arabia - Risk Assessment Indicators — 13 rows, 8 columns

Loading data…

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`ADM1_PCODE`	ADM1_PCODE	string	0%	13	SA14, SA11, SA08, SA12, SA03
`ADM_PCODE`	ADM_PCODE	string	0%	13	SA14, SA11, SA08, SA12, SA03
`female_pop`	female_pop	string	0%	13	885779, 101642, 186892, 347645, 1010381
`children_u5`	children_u5	string	0%	13	181684, 18754, 47571, 96037, 212754
`female_u5`	female_u5	string	0%	13	88809, 9224, 23009, 47312, 104415
`elderly`	elderly	string	0%	13	88204, 11475, 12939, 21875, 90700
`pop_u15`	pop_u15	string	0%	13	534888, 58133, 128777, 256969, 609116
`female_u15`	female_u15	string	0%	13	262711, 28590, 63021, 126802, 299840

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

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

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

0 Admin 0 — 2 table(s)

SAU Nga Gns - Language — 4 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	SAU, SAU, SAU, SAU
`gns_language_code`	gns_language_code	string	CCL	0%	4	ara, eng, fas, ita
`gns_language_name`	gns_language_name	string	CCL	0%	4	Arabic, English, Persian, Italian
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	48193, 251, 1, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	99.4778, 0.5181, 0.0021, 0.0021
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	2	18021, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	2	Arab, , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	2	Arabic, , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	2	1, 0, 0, 0

SAU Nga Gns - Summary — 1 rows, 31 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	SAU
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Saudi Arabia
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	1
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9595
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	18032

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	61714
`gns_feature_count`	gns_feature_count	integer	0%	1	27054
`gns_endonym_count`	gns_endonym_count	integer	0%	1	61689
`gns_exonym_count`	gns_exonym_count	integer	0%	1	25
`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_spot_features`	gns_name_count_spot_features	integer	0%	1	3679
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	1707
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	11762
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	5112
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	17668
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	8055
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	23877
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	10385
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	2898
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1211
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	593
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	134
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	1185
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	421
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	50
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	28
`gns_name_count_undersea`	gns_name_count_undersea	integer	0%	1	2
`gns_feature_count_undersea`	gns_feature_count_undersea	integer	0%	1	1

SAU Ethnic Power Relations Dataset SAU-EPR Political Ethnicity

4 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 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)

SAU EPR - Groups — 4 rows, 8 columns

Loading data…

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU, SAU, SAU, SAU
`ethnic_group_name`	Ethnic group name	string	CCL	0%	4	Sunni Wahhabi (Najdi) (Arab), Sunni Shafii/Sofi (Hijazi)...
`ethnic_power_status`	Ethnic power status	string	CCL	0%	3	SENIOR PARTNER, JUNIOR PARTNER, DISCRIMINATED, DISCRIMINATED
`ethnic_population_share`	Ethnic population share	float	CCL	0%	4	0.36, 0.26, 0.15, 0.02
`ethnic_group_id`	Ethnic group id	float	CCL	0%	4	67005000, 67004000, 67002000, 67001000
`regional_autonomy`	Regional autonomy	string	CCL	0%	1	false, false, false, false

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , ,

SAU D-PLACE SAU-DPLACE Ethnographic Societies

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

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

0 Admin 0 — 1 table(s)

SAU D-PLACE - Dplace Ea Societies — 1 rows, 18 columns

Loading data…

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

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU
`society_id`	Society id	string	CCL	0%	1	Cj5
`society_name`	Society name	string	CCL	0%	1	Mutair
`language_glottocode`	Language glottocode	string	CCL	0%	1	sout3119
`language_name`	Language name	string	CCL	0%	1
`kinship_system`	Kinship system	string	CCL	0%	1	EA001:0; EA002:1; EA003:0; EA004:9; EA005:0
`marriage_pattern`	Marriage pattern	string	CCL	0%	1	EA006:1; EA007:8; EA008:2; EA009:2; EA010:8
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	1	EA028:1; EA029:1; EA030:1; EA031:NA; EA032:3
`political_complexity`	Political complexity	string	CCL	0%	1	EA033:2; EA034:4; EA035:NA
`religion_importance`	Religion importance	string	CCL	0%	1	EA034:4; EA112:8
`residence_pattern`	Residence pattern	string	CCL	0%	1	EA011:1; EA012:8; EA013:9

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Saudi Arabia
`dataset`	dataset	string	0%	1	EA
`region`	region	string	0%	1
`latitude`	latitude	float	0%	1	28.0
`longitude`	longitude	float	0%	1	47.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate

SAU Global Organized Crime Index SAU-OCINDEX Crime Index

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

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

0 Admin 0 — 1 table(s)

SAU Organized Crime Scores 2025 — 1 rows, 35 columns

Loading data…

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

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

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

SAU World Values Survey SAU-WVS Attitudes Values

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

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

0 Admin 0 — 1 table(s)

SAU WVS - Country Aggregates — 1 rows, 26 columns

Loading data…

Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SAU

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

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

HERA · Human Entity Reference Atlas by Masego Inc

Saudi Arabia

Build a download

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
HDX (Humanitarian Data Exchange)	international_organization	bulk_download
geoBoundaries	academic	api
World Values Survey	academic	metadata_catalog
Google	commercial	bulk_download
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
Global Data Lab	academic	api
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
UN SDG Global Database	international_organization	api
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