Saudi Arabia

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

67,545 rows · 1 table(s) · 2024 HDX 0 1 2 3 ▶

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

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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) · 2024 HDX 0 1 2 3 ▶

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

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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) · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

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

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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) · 2024 HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

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

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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) · 2024 HDX 0 1 2 3 ▶

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

0 Admin 0 — 1 table(s)

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

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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) · 2024 HDX 0 1 2 3 ▶

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

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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) · 2024 HDX 0 1 2 3 ▶

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

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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) · 2024 HDX 0 1 2 3 ▶

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

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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) · 2024 HDX 0 1 2 3 ▶

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

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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) · 2024 HDX 0 1 2 3 ▶

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

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	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) · 2024 HDX 0 1 2 3 ▶

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

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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) · 2024 HDX 0 1 2 3 ▶

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

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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) · 2024 HDX 0 1 2 3 ▶

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

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	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) · 2024 UN SDG Global Database 0 1 2 3 17 SEL 4 ext ▶

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SAU Sdg - Country Profile — 486 rows, 21 columns

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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) · 2024 HDX 0 1 2 3 ▶

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

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`category`	category	string	0%	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) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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

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

1 Admin 1 — 1 table(s)

SAU GDL - Subnational Indices — 204 rows, 11 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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) · 2024 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

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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

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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 World Bank Open Data SAU-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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

0 Admin 0 — 2 table(s)

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

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

Standards-Aligned Fields (7)

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

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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 UNHCR Refugee Data Finder SAU-UNHCR Migration

77 rows · 2 table(s) · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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

0 Admin 0 — 2 table(s)

SAU UNHCR - Hosted Populations — 44 rows, 24 columns

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

Standards-Aligned Fields (6)

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

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

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

SAU UNHCR - Origin Populations — 33 rows, 24 columns

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

Standards-Aligned Fields (6)

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

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

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

SAU LandScan Global (ORNL) SAU-LANDSCAN Modeled Population

59 rows · 3 table(s) · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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

0 Admin 0 — 1 table(s)

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

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

Standards-Aligned Fields (7)

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

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

Standards-Aligned Fields (7)

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

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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) · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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

Locality Locality — 1 table(s)

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

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	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) · 2024 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, 21 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	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, 139 columns

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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

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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, 54 columns

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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, 8 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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, 54 columns

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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, 73 columns

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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, 6 columns

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

Standards-Aligned Fields (3)

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

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

Standards-Aligned Fields (3)

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

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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, 20 columns

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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, 131 columns

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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, 6 columns

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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, 8 columns

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

Standards-Aligned Fields (3)

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

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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, 29 columns

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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) · 2022 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

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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) · 2024 Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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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) · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

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

1 Admin 1 — 1 table(s)

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) · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

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

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`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) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 24 ext ▶

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0 Admin 0 — 2 table(s)

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) · 2021 Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

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0 Admin 0 — 1 table(s)

SAU EPR - Groups — 4 rows, 8 columns

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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) · 2024 D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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0 Admin 0 — 1 table(s)

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

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

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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) · 2025 GI-TOC / ENACT 0 1 2 3 13 CCL 22 ext ▶

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0 Admin 0 — 1 table(s)

SAU Organized Crime Scores 2025 — 1 rows, 35 columns

Loading data…

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

Standards-Aligned Fields (13)

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

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

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

Pending (104) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	SAU
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	75
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	float	0%	1	5.5
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	float	0%	1	5.5
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	26
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	integer	0%	1	8
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	integer	0%	1	8
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	30
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	float	0%	1	6.5
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	float	0%	1	6.5
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	75
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	float	0%	1	5.5
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	float	0%	1	5.5
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	60
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	5.9
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	5.13
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	18
`oc_criminal_markets_2023`	oc_criminal_markets_2023	float	0%	1	6.57
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	6.9
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	57
`oc_criminal_networks_2023`	oc_criminal_networks_2023	float	0%	1	6.5
`oc_criminal_networks_2021`	oc_criminal_networks_2021	float	0%	1	6.5
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	43
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	6.23
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	6.01
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	15
+74 more pending fields — download the CSV/Parquet to see them all.

SAU World Values Survey SAU-WVS Attitudes Values

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

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0 Admin 0 — 1 table(s)

SAU WVS - Country Aggregates — 1 rows, 26 columns

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

Standards-Aligned Fields (1)

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