Qatar

QAT World Bank Open Data QAT-WORLD_BANK Development Indicators

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

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0 Admin 0 — 3 table(s)

QAT 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	QA, QA, QA, QA, QA
`population_count`	Population count	float	SEL	2%	65	36010.0, 39680.0, 44630.0, 50380.0, 56867.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	57.773, 58.502, 59.226, 59.96, 60.7
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	17%	55	2593.82296339752, 2951.769414533, 3482.877835561,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	83%	11	75.6399993896484, 83.2600021362305, 88.9599990844727,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	17%	55	70.7, 66.0, 61.6, 57.7, 54.0
`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	Qatar, Qatar, Qatar, Qatar, Qatar
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

QAT 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	QA, QA, QA, QA, QA
`life_expectancy`	Life expectancy	float	SEL	3%	64	57.773, 58.502, 59.226, 59.96, 60.7
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	28	12.3, 11.5, 10.7, 10.1, 9.4
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	17%	55	70.7, 66.0, 61.6, 57.7, 54.0
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	14	17.0, 16.0, 15.0, 15.0, 14.0
`fertility_rate`	Fertility rate	float	SEL	3%	63	6.531, 6.526, 6.53, 6.527, 6.525
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	45.268, 44.926, 45.884, 46.662, 47.252
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	63	11.403, 10.733, 10.267, 9.851, 9.449
`physicians_per_1000`	Physicians per 1000	float	SEL	76%	15	0.513, 0.738, 1.676, 1.5, 1.26
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	61%	24	5.5314998626709, 2.93959999084473, 2.30029988288879,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	24	61.0, 43.0, 37.0, 49.0, 60.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	1.97258496, 2.3197093, 2.46044064, 3.50257182, 3.18311739

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

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

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	QAT, QAT, QAT, QAT, QAT
`country_name`	country_name	string	0%	1	Qatar, Qatar, Qatar, Qatar, Qatar
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	215508.0, 307661.0, 439215.0, 643000.0, 1409000.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	8	49.0, 59.8, 68.1, 77.9, 82.4
`net_migration`	net_migration	float	0%	64	1586.0, 3186.0, 3773.0, 4283.0, 4686.0
`remittances_received_usd`	remittances_received_usd	float	77%	15	573626373.626373, 803296703.296703, 574395604.395604,...
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	77%	15	0.341901614862895, 0.42995324346997, 0.289036590893845,...
`remittances_paid_usd`	remittances_paid_usd	float	77%	15	10444681380.8072, 10412912087.9121, 11281043956.0439,...

QAT UNHCR Refugee Data Finder QAT-UNHCR Migration

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

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0 Admin 0 — 2 table(s)

QAT UNHCR - Hosted 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%	-	-

QAT UNHCR - Origin Populations — 32 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%	-	-

QAT OpenFactBook QAT-OPENFACTBOOK Country Profile

15 rows · 15 tables · 2024 OpenFactBook 0 1 2 3 92 SEL 6 CCL 542 ext ▶

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0 Admin 0 — 15 table(s)

QAT OpenFactBook - Communications — 1 rows, 21 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	18.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	154.0
`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	12.0
`country_code`	Country code	string	SEL	0%	1	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	526,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	526000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	18 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	4.68 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	4.68
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	154 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-controlled TV and radio licensing and access to...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2019.0
`internet_country_code_text`	Internet country code text	string	0%	1	.qa
`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	347,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	347000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	12 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	middle-east/qa.json

QAT OpenFactBook - Economy — 1 rows, 144 columns

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Field details — 150 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	110900.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	217.983
`country_code`	Country code	string	SEL	0%	1	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (145) — 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-and-gas-based Middle Eastern economy;...
`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	$317.064 billion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	317.064
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$308.522 billion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	308.522
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$304.903 billion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	304.903
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	2.8% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	2.8
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	1.2% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	1.2
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	4.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	4.2
`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	$110,900 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$116,200 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	116200.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$114,700 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	114700.0
`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	$217.983 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	1.3% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	1.3
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	3% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	3.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	5% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	5.0
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+115 more extension fields — download the CSV/Parquet to see them all.

QAT OpenFactBook - Energy — 1 rows, 37 columns

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Field details — 37 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	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (33) — 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	11.4 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	11.4
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	51.965 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	51.965
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	3.177 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	3.177
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	99.7% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	99.7
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	0.2% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	0.2
`coal_exports_text`	coal_exports_text	string	0%	1	300 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	300.0
`coal_imports_text`	coal_imports_text	string	0%	1	4,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	4000.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	1.818 million bbl/day (2023 est.)
`petroleum_total_petroleum_production_numeric`	petroleum_total_petroleum_production_numeric	float	0%	1	1.818
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	268,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	268000.0
`petroleum_crude_oil_estimated_reserves_text`	petroleum_crude_oil_estimated_reserves_text	string	0%	1	25.244 billion barrels (2021 est.)
`petroleum_crude_oil_estimated_reserves_numeric`	petroleum_crude_oil_estimated_reserves_numeric	float	0%	1	25.244
`natural_gas_production_text`	natural_gas_production_text	string	0%	1	171.805 billion cubic meters (2023 est.)
`natural_gas_production_numeric`	natural_gas_production_numeric	float	0%	1	171.805
`natural_gas_consumption_text`	natural_gas_consumption_text	string	0%	1	48.034 billion cubic meters (2023 est.)
`natural_gas_consumption_numeric`	natural_gas_consumption_numeric	float	0%	1	48.034
`natural_gas_exports_text`	natural_gas_exports_text	string	0%	1	124.747 billion cubic meters (2023 est.)
`natural_gas_exports_numeric`	natural_gas_exports_numeric	float	0%	1	124.747
`natural_gas_proven_reserves_text`	natural_gas_proven_reserves_text	string	0%	1	23.861 trillion cubic meters (2021 est.)
`natural_gas_proven_reserves_numeric`	natural_gas_proven_reserves_numeric	float	0%	1	23.861
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text	string	0%	1	814.308 million Btu/person (2023 est.)
+3 more extension fields — download the CSV/Parquet to see them all.

QAT OpenFactBook - Environment — 1 rows, 51 columns

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Field details — 55 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	6.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	0.1
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	99.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.66
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	1.001
`country_code`	Country code	string	SEL	0%	1	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	air, land, and water pollution; limited natural...
`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	arid; mild, pleasant winters; very hot, humid summers
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	6.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 1.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	1.8
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 4.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	4.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	0.1% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	93.4% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	93.4
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	99.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.66% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	127.783 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	127.783
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	10,000 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	10000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	27.781 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	27.781
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	99.991 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	99.991
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	59 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	59.0
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	1,040.8 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	1040.8
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	9.5 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	9.5
+17 more extension fields — download the CSV/Parquet to see them all.

QAT 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	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`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	Qatari(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Qatari
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	non-Qatari 88.4%, Qatari 11.6% (2015 est.)
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	88.4
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	middle-east/qa.json

QAT OpenFactBook - Geography — 1 rows, 53 columns

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Field details — 54 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	11586.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	11586.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	87.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	563.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	103.0
`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	6.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	0.1
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	130.0
`country_code`	Country code	string	SEL	0%	1	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Middle East, peninsula bordering the Persian Gulf and...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	25 30 N, 51 15 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	11,586 sq km
`area_land_text`	area_land_text	string	0%	1	11,586 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	almost twice the size of Delaware; slightly smaller than...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	87 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Saudi Arabia 87 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	87.0
`coastline_text`	coastline_text	string	0%	1	563 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	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	as determined by bilateral agreements or the median line
`climate_text`	climate_text	string	0%	1	arid; mild, pleasant winters; very hot, humid summers
`terrain_text`	terrain_text	string	0%	1	mostly flat and barren desert
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Tuwayyir al Hamir 103 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	28 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	28.0
`natural_resources_text`	natural_resources_text	string	0%	1	petroleum, fish, natural gas
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	6.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 1.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	1.8
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 4.4% (2023 est.)
+11 more extension fields — download the CSV/Parquet to see them all.

QAT 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	QAT
`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	State of Qatar
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Qatar
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Dawlat Qatar
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Qatar
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name may derive from the Arabic word katran, meaning...
`country_name_note`	country_name_note	string	0%	1	note: closest approximation of the native pronunciation...
`government_type_text`	government_type_text	string	0%	1	absolute monarchy
`capital_name_text`	capital_name_text	string	0%	1	Doha
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	25 17 N, 51 32 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	25.0
`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 is derived from the Arabic ad-dawha, meaning...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	8 municipalities (baladiyat, singular - baladiyah); Ad...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	8.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system of civil law and Islamic (sharia) law (in...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1972 (provisional); latest drafted 2 July 2002,...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1972.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the Amir or by one third of Advisory Council...
`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 Qatar
`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	20 years; 15 years if an Arab national
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	20.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	Amir TAMIM bin Hamad Al Thani (since 25 June 2013)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	25.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Prime Minister and Foreign Minister MUHAMMAD bin Abd...
+65 more extension fields — download the CSV/Parquet to see them all.

QAT 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	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`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	Ruled by the Al Thani family since the mid-1800s, Qatar...
`background_numeric`	background_numeric	float	0%	1	-1800.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	middle-east/qa.json

QAT 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	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`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), English commonly used as a second language
`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/qa.json

QAT 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	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`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	349 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	349.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	1,200 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	1200.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	middle-east/qa.json

QAT OpenFactBook - Military And Security — 1 rows, 21 columns

Loading data…

Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`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	Qatar Armed Forces (QAF): Qatari Amiri Land Force (QALF,...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	5% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	5.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	5% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	5.0
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	4% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	4.0
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	4% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	4.0
`military_expenditures_military_expenditures_2019_text`	Military expenditures 2019 (text)	string	0%	1	3.4% of GDP (2019 est.)
`military_expenditures_military_expenditures_2019_numeric`	Military expenditures 2019 (numeric)	float	0%	1	3.4
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 15,000 active-duty Qatar Armed Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	15000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the Qatari military's inventory is a mix of older and...
`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	typically 18-30 for voluntary service for men and women;...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	Qatar's military is responsible for territorial defense...
`military_note_numeric`	military_note_numeric	float	0%	1	1983.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	middle-east/qa.json

QAT OpenFactBook - People And Society — 1 rows, 109 columns

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Field details — 122 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	2568426.0
`population_male_numeric`	Population male	float	SEL	0%	1	1970605.0
`population_female_numeric`	Population female	float	SEL	0%	1	597821.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	13.1
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	85.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	1.5
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	17.3
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	15.4
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	1.8
`median_age_total_numeric`	Median age	float	SEL	0%	1	34.4
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.57
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	9.19
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	1.42
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-2.09
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	99.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.66
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.02
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	3.32
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	4.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	6.2
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	80.3
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.9
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.94
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	3.02
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.1
`country_code`	Country code	string	SEL	0%	1	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (94) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	2,568,426 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	1,970,605
`population_female_text`	population_female_text	string	0%	1	597,821
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	13.1% (male 168,844/female 165,905)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	85.4% (male 1,767,294/female 411,977)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	1.5% (2024 est.) (male 24,997/female 13,071)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	17.3 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	15.4 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	1.8 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	54.4 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	54.4
`median_age_total_text`	median_age_total_text	string	0%	1	34.4 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	35.7 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	35.7
`median_age_female_text`	median_age_female_text	string	0%	1	28.1 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	28.1
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.57% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	9.19 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	1.42 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-2.09 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	most of the population is clustered in or around the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	99.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.66% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	798,000 Ar-Rayyan, 658,000 DOHA (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	798000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.02 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.02 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.02
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	4.29 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	4.29
+64 more extension fields — download the CSV/Parquet to see them all.

QAT OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 19 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	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	65.2
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	13.7
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	15.9
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	3.8
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.5
`composition_ethnicity_primary_label_synth`	non-Qatari	string	CCL	0%	-	non-Qatari

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 65.2%, Christian 13.7%, Hindu 15.9%, Buddhist...
`religions_numeric`	religions_numeric	float	0%	1	65.2
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	middle-east/qa.json

Pending (6) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_folk_religion_pct_synth`	folk religion	numeric	0%	-	0.05
`composition_religion_jewish_pct_synth`	Jewish	numeric	0%	-	0.05
`composition_religion_unaffiliated_pct_synth`	unaffiliated	numeric	0%	-	0.5
`composition_ethnicity_non_qatari_pct_synth`	non-Qatari	numeric	0%	-	88.4
`composition_ethnicity_qatari_pct_synth`	Qatari	numeric	0%	-	11.6
`composition_ethnicity_primary_share_pct_synth`	non-Qatari	numeric	0%	-	88.4

QAT OpenFactBook - Terrorism — 1 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
`country_code`	Country code	string	SEL	0%	1	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	middle-east/qa.json

QAT OpenFactBook - Transportation — 1 rows, 27 columns

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Field details — 28 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	0%	1	8.0
`country_code`	Country code	string	SEL	0%	1	QAT
`country_name`	Country name	string	SEL	0%	1	Qatar
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	A7
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	7.0
`airports_text`	airports_text	string	0%	1	8 (2025)
`heliports_text`	heliports_text	string	0%	1	12 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	12.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	123 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	123.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 5, container ship 4, general cargo 4, oil...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	5.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	6 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	6.0
`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	2
`ports_small_numeric`	ports_small_numeric	float	0%	1	2.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	3
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	3.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	5
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	5.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Al Rayyan Terminal, Al Shaheen Terminal, Doha, Jazirat...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	middle-east/qa.json

QAT LandScan Global (ORNL) QAT-LANDSCAN Modeled Population

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

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

0 Admin 0 — 1 table(s)

QAT 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	QAT
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Qatar
`admin_code`	Admin code	string	SEL	0%	1	15585745B7344527881026
`area_sqkm`	Area sqkm	float	SEL	0%	1	11557.5041
`pop_2024`	Population count	integer	SEL	0%	1	2525387
`pop_density_2024`	Population density	float	SEL	0%	1	218.51

1 Admin 1 — 1 table(s)

QAT LandScan - Population Admin1 (admin_1) — 8 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	QAT, QAT, QAT, QAT, QAT
`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%	8	Doha, Al Rayyan, Al Wakra, Al Khor and Al Thakhira, Al Sheehaniya
`admin_code`	Admin code	string	SEL	0%	8	59647477B74568109878344, 59647477B98611324208127,...
`area_sqkm`	Area sqkm	float	SEL	0%	8	169.8785, 2449.1133, 2548.4234, 1608.6021, 3322.9401
`pop_2024`	Population count	integer	SEL	0%	8	773781, 621567, 582244, 311629, 93874
`pop_density_2024`	Population density	float	SEL	0%	8	4554.91, 253.79, 228.47, 193.73, 28.25

Locality Locality — 1 table(s)

QAT LandScan - Cities (locality) — 4 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	QAT, QAT, QAT, QAT
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	4	Doha, Al Wakrah, Al Khor, Ras Laffan
`admin_code`	Admin code	integer	SEL	0%	4	153, 619, 477, 323
`area_sqkm`	Area sqkm	float	SEL	0%	4	390.3288, 28.8767, 12.9455, 15.9345
`pop_2024`	Population count	integer	SEL	0%	4	1745342, 106472, 40306, 13631
`pop_density_2024`	Population density	float	SEL	0%	4	4471.47, 3687.12, 3113.51, 855.44

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%	4	1980416, 96304, 66311, 54600
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	4	0.881, 1.106, 0.608, 0.25

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

11 rows · 3 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 31 ext ▶

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

0 Admin 0 — 3 table(s)

QAT NGA GNS - Language — 2 rows, 9 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	QAT, QAT
`gns_language_code`	gns_language_code	string	CCL	0%	2	ara, eng
`gns_language_name`	gns_language_name	string	CCL	0%	2	Arabic, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	2	10333, 15
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	2	99.855, 0.145
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	2	5233, 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

QAT NGA GNS - Summary — 1 rows, 27 columns

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Field details — 27 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	QAT
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Qatar
`gns_language_count`	gns_language_count	integer	CCL	0%	1	2
`gns_script_count`	gns_script_count	integer	CCL	0%	1	1
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.947
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	5235

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	11314
`gns_feature_count`	gns_feature_count	integer	0%	1	4835
`gns_endonym_count`	gns_endonym_count	integer	0%	1	11308
`gns_exonym_count`	gns_exonym_count	integer	0%	1	6
`gns_source_build_date`	gns_source_build_date	string	0%	1	Fri, 28 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-28
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	2680
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	1128
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	4266
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	1819
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	420
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	178
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	891
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	275
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	2695
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	1284
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	289
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	138
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	73
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	13

QAT NGA GNS - Admin Crosswalk — 8 rows, 12 columns

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

Standards-Aligned Fields (1)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	8	116270, 116262, 116273, 116267, 116252
`admin_designation`	admin_designation	string	0%	1	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	8	Ad Dawḩah, Al Khawr wa adh Dhakhīrah, Al Wakrah, Ar...
`gns_local_name`	gns_local_name	string	0%	8	بلدية الدوحة, بلدية الخور والذخيرة, بلدية الوكرة,...
`iso_3166_2`	iso_3166_2	string	0%	8	QA-DA, QA-KH, QA-WA, QA-RA, QA-MS
`parent_code`	parent_code	string	0%	1	QAT, QAT, QAT, QAT, QAT
`gns_prominence_band`	gns_prominence_band	integer	0%	1	8, 8, 8, 8, 8
`latitude`	latitude	float	0%	8	25.3, 25.766667, 24.85, 24.916667, 25.983333
`longitude`	longitude	float	0%	7	51.5, 51.316667, 51.333333, 51.0, 51.2
`gns_mgrs`	gns_mgrs	string	0%	8	39RWH5033298261, 39RWJ3175449882, 39RWH3367748380,...
`name_variant_count`	name_variant_count	integer	0%	4	6, 7, 6, 6, 7

QAT Planning and Statistics Authority (PSA Qatar) QAT-PSA_QATAR Population

9 rows · 2 tables · 2023 Planning and Statistics Authority (PSA Qatar) 0 1 2 3 10 SEL 4 ext ▶

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

0 Admin 0 — 1 table(s)

QAT PSA Qatar - QAT Population (admin_0) — 1 rows, 7 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	1	QAT
`admin_name`	Admin name	string	SEL	0%	1	Qatar
`population_count`	Population count	integer	SEL	0%	1	2846118
`population_male`	Population male	integer	SEL	0%	1	2034518
`population_female`	Population female	integer	SEL	0%	1	811600

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0
`year`	year	integer	0%	1	2023

1 Admin 1 — 1 table(s)

QAT PSA Qatar - QAT Population (admin_1) — 8 rows, 7 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	8	al_khor, al_dayyan, al_rayyan, al_shamal, al_sheehaniya
`admin_name`	Admin name	string	SEL	0%	8	AL Khor, Al Dayyan, Al Rayyan, Al Shamal, Al Sheehaniya
`population_count`	Population count	integer	SEL	0%	8	140453, 100083, 826786, 16730, 161240
`population_male`	Population male	integer	SEL	0%	8	112943, 55466, 536683, 13457, 148384
`population_female`	Population female	integer	SEL	0%	8	27510, 44617, 290103, 3273, 12856

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

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`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023

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

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

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

Locality Locality — 1 table(s)

QAT GHS-UCDB - Cities (locality) — 4 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%	4	Doha, Al Wakrah, Al Khor, Ras Laffan
`country_code`	Country code	string	SEL	0%	1	QAT, QAT, QAT, QAT
`population`	Population count	integer	SEL	0%	4	1980416, 96304, 66311, 54600

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	4	153, 619, 477, 323
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Qatar, Qatar, Qatar, Qatar
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

QAT Glottolog Language Catalog QAT-GLOTTOLOG Language

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

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

0 Admin 0 — 1 table(s)

QAT Glottolog - Languages — 2 rows, 16 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	2	gulf1241, stan1318
`name`	Name	string	CCL	0%	2	Gulf Arabic, Standard Arabic
`iso639_3`	Iso639 3	string	CCL	0%	2	afb, arb
`level`	Level	string	CCL	0%	1	language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	1	afro1255, afro1255
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	2	nort3402, arab1395
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	2	8, 2

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	2	30.17, 27.9625
`longitude`	longitude	float	0%	2	47.5, 43.8525
`country_codes`	Country codes	string	0%	2	['AE', 'BH', 'IQ', 'IR', 'KW', 'OM', 'QA', 'SA', 'YE'],...
`classification`	classification	string	0%	1	[], []

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

1 row · 1 table · 2020 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 5 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)

QAT COD PS - QAT Codps — 1 rows, 57 columns

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Field details — 57 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	QAT
`region_name`	Region name	string	SEL	0%	1	Qatar
`F_TL`	Female population	integer	SEL	0%	1	811600
`M_TL`	Male population	integer	SEL	0%	1	2034518
`T_TL`	Total population	integer	SEL	0%	1	2846118

Pending (52) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2020
`year`	year	integer	0%	1	2020
`ADM0_AR`	ADM0_AR	string	0%	1	قطر
`F_00_04`	Female population age 0-4	integer	0%	1	79380
`F_05_09`	Female population age 5-9	integer	0%	1	77665
`F_10_14`	Female population age 10-14	integer	0%	1	62919
`F_15_19`	Female population age 15-19	integer	0%	1	46399
`F_20_24`	Female population age 20-24	integer	0%	1	46506
`F_25_29`	Female population age 25-29	integer	0%	1	91359
`F_30_34`	Female population age 30-34	integer	0%	1	117140
`F_35_39`	Female population age 35-39	integer	0%	1	98223
`F_40_44`	Female population age 40-44	integer	0%	1	72413
`F_45_49`	Female population age 45-49	integer	0%	1	45936
`F_50_54`	Female population age 50-54	integer	0%	1	29712
`F_55_59`	Female population age 55-59	integer	0%	1	18655
`F_60_64`	Female population age 60-64	integer	0%	1	11762
`F_65_69`	Female population age 65-69	integer	0%	1	6281
`F_70_74`	Female population age 70-74	integer	0%	1	3389
`F_75Plus`	F_75Plus	integer	0%	1	3861
`M_00_04`	Male population age 0-4	integer	0%	1	82805
`M_05_09`	Male population age 5-9	integer	0%	1	80716
`M_10_14`	Male population age 10-14	integer	0%	1	65829
`M_15_19`	Male population age 15-19	integer	0%	1	50657
`M_20_24`	Male population age 20-24	integer	0%	1	157399
`M_25_29`	Male population age 25-29	integer	0%	1	308692
`M_30_34`	Male population age 30-34	integer	0%	1	372192
`M_35_39`	Male population age 35-39	integer	0%	1	330722
`M_40_44`	Male population age 40-44	integer	0%	1	232389
`M_45_49`	Male population age 45-49	integer	0%	1	152937
+22 more pending fields — download the CSV/Parquet to see them all.

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

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

1 rows × 261 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

QAT Inform - Risk Index — 1 rows, 261 columns

Loading data…

Field details — 261 fields (type, nulls, unique, samples)

Pending (261) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	QAT
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	0.0
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	11610.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.325
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.0417415931352587
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	3.7
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	0.583581984043121
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	1.3
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	0.6
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	0.8
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	0.3
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	0.3
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	0.5
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	0.0
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	0.5
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.0
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	2.4
`inform_cc_inf_com`	Communication	float	0%	1	0.8
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	2.4
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	0.4
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	0.2
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	0.2
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.0
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	0.5
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	0.0
`inform_institutional_capacity`	Institutional	float	0%	1	1.9
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	0.3
+231 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
Planning and Statistics Authority (PSA Qatar)	official_api	api
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download