Comoros

COM World Bank Open Data COM-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)

COM 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	KM, KM, KM, KM, KM
`population_count`	Population count	float	SEL	2%	65	197700.0, 201201.0, 204702.0, 208185.0, 211644.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	40.777, 41.157, 41.534, 41.909, 42.328
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	32%	45	720.685109658453, 613.038043236083, 566.033006092361,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	94%	4	47.9199981689453, 68.25, 73.7981579213275, 75.8250571350015
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	18%	54	231.6, 225.4, 219.5, 213.8, 208.3
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	97%	2	42.4, 44.8

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

COM 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	KM, KM, KM, KM, KM
`life_expectancy`	Life expectancy	float	SEL	3%	64	40.777, 41.157, 41.534, 41.909, 42.328
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	23%	51	80.5, 79.7, 79.3, 79.0, 78.2
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	18%	54	231.6, 225.4, 219.5, 213.8, 208.3
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	39	850.0, 825.0, 811.0, 791.0, 768.0
`fertility_rate`	Fertility rate	float	SEL	3%	63	6.792, 6.849, 6.897, 6.916, 6.938
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	49.392, 49.37, 49.283, 48.98, 48.719
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	24.677, 24.387, 24.089, 23.766, 23.402
`physicians_per_1000`	Physicians per 1000	float	SEL	80%	13	0.084, 0.163, 0.113, 0.127, 0.074
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	94%	4	3.12490010261536, 2.7616000175, 2.2, 2.16
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	38%	27	31.0, 51.0, 71.0, 71.0, 43.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	7.51525021, 6.6571784, 6.68594599, 6.66024828, 6.58576155

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

COM 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	COM, COM, COM, COM, COM
`country_name`	country_name	string	0%	1	Comoros, Comoros, Comoros, Comoros, Comoros
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	14079.0, 13939.0, 13799.0, 13209.0, 12618.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	8	3.2, 2.8, 2.6, 2.2, 1.9
`net_migration`	net_migration	float	0%	64	-1406.0, -1518.0, -1667.0, -1764.0, -1924.0
`remittances_received_usd`	remittances_received_usd	float	46%	36	1618722.2, 1221804.857, 2367595.196, 1836967.468, 2139818.43
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	46%	36	0.665072066141382, 0.57372940580725, 1.17119285877302,...
`remittances_paid_usd`	remittances_paid_usd	float	46%	36	1519326.925, 743387.2819, 4771708.488, 3994092.226, 5119544.029

COM UNHCR Refugee Data Finder COM-UNHCR Migration

45 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)

COM UNHCR - Hosted Populations — 11 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%	-	-

COM UNHCR - Origin Populations — 34 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%	-	-

COM OpenFactBook COM-OPENFACTBOOK Country Profile

14 rows · 14 tables · 2024 OpenFactBook 0 1 2 3 90 SEL 3 CCL 496 ext ▶

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0 Admin 0 — 14 table(s)

COM OpenFactBook - Communications — 1 rows, 20 columns

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Field details — 21 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	1.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	110.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	36.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2023.0
`country_code`	Country code	string	SEL	0%	1	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`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	8,200 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	8200.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2023 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	934,000 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	934000.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	110 (2023 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	national state-owned TV station and a TV station run by...
`internet_country_code_text`	Internet country code text	string	0%	1	.km
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	36% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	3,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	3000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/cn.json

COM OpenFactBook - Economy — 1 rows, 136 columns

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Field details — 142 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	3600.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	1.546
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	44.8
`country_code`	Country code	string	SEL	0%	1	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (136) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	small trade-based island economy; declining remittances;...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-19.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$3.092 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	3.092
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$2.99 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	2.99
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$2.901 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	2.901
`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	3.4% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.4
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	3.1% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	3.1
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	2.8% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	2.8
`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	$3,600 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$3,500 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	3500.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$3,500 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	3500.0
`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	$1.546 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_text`	Inflation rate consumer prices 2017 (text)	string	0%	1	1% (2017 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_numeric`	Inflation rate consumer prices 2017 (numeric)	float	0%	1	1.0
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2016_text`	Inflation rate consumer prices 2016 (text)	string	0%	1	1.8% (2016 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2016_numeric`	Inflation rate consumer prices 2016 (numeric)	float	0%	1	1.8
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	36.6% (2024 est.)
`gdp_composition_by_sector_of_origin_agriculture_numeric`	gdp_composition_by_sector_of_origin_agriculture_numeric	float	0%	1	36.6
+106 more extension fields — download the CSV/Parquet to see them all.

COM OpenFactBook - Energy — 1 rows, 25 columns

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Field details — 25 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	89.9
`country_code`	Country code	string	SEL	0%	1	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (21) — 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	89.9% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	100%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	100.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	82.9%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	82.9
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	32,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	32000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	113.052 million kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	113.052
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	22.1 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	22.1
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	100% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	100.0
`coal_imports_text`	coal_imports_text	string	0%	1	2,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	2000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	3,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	3000.0
`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	7.139 million Btu/person (2023 est.)
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric	float	0%	1	7.139
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	africa/cn.json

COM OpenFactBook - Environment — 1 rows, 41 columns

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Field details — 43 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	71.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	17.8
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	30.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.97
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	91000.0
`country_code`	Country code	string	SEL	0%	1	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	deforestation; soil degradation and erosion from forest...
`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	tropical marine; rainy season (November to May)
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	71.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 34.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	34.9
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 28.5% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	28.5
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 8.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	8.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	17.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	10.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	10.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	30.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.97% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	436,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	436000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	436,000 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	436000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	14.5 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	14.5
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	91,000 tons (2024 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_text`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_text	string	0%	1	10.1% (2022 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric	float	0%	1	10.1
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	4.8 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	4.8
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	500,000 cubic meters (2022 est.)
`total_water_withdrawal_industrial_numeric`	total_water_withdrawal_industrial_numeric	float	0%	1	500000.0
`total_water_withdrawal_agricultural_text`	total_water_withdrawal_agricultural_text	string	0%	1	4.7 million cubic meters (2022 est.)
+5 more extension fields — download the CSV/Parquet to see them all.

COM OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Comoran(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Comoran
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Antalote, Cafre, Makoa, Oimatsaha, Sakalava
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/cn.json

COM OpenFactBook - Geography — 1 rows, 48 columns

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Field details — 50 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	2235.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	2235.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	0.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	340.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2360.0
`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	71.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	17.8
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	1.3
`country_code`	Country code	string	SEL	0%	1	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (37) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern Africa, group of islands at the northern mouth...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	12 10 S, 44 15 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	12.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	2,235 sq km
`area_land_text`	area_land_text	string	0%	1	2,235 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 12 times the size of Washington, D.C.
`area_comparative_numeric`	area_comparative_numeric	float	0%	1	12.0
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	0 km
`coastline_text`	coastline_text	string	0%	1	340 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical marine; rainy season (November to May)
`terrain_text`	terrain_text	string	0%	1	volcanic islands, interiors vary from steep mountains to...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Karthala 2,360 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Indian Ocean 0 m
`natural_resources_text`	natural_resources_text	string	0%	1	fish
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	71.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 34.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	34.9
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 28.5% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	28.5
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 8.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	8.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	17.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	10.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	10.7
+7 more extension fields — download the CSV/Parquet to see them all.

COM OpenFactBook - Government — 1 rows, 75 columns

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Field details — 95 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	COM
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (93) — 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	Union of the Comoros
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Comoros
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Udzima wa Komori (Comorian)/Union des Comores...
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Komori (Comorian)/Les Comores (French)/Juzur al Qamar (Arabic)
`country_name_former_text`	country_name_former_text	string	0%	1	Comorian State, Federal Islamic Republic of the Comoros
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	name derives from the Arabic al qamar, meaning "the moon"
`government_type_text`	government_type_text	string	0%	1	federal presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Moroni
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	11 42 S, 43 14 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	11.0
`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 means "at the place of fire," referring to the...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	3 islands; Anjouan (Ndzuwani), Grande Comore...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	3.0
`legal_system_text`	legal_system_text	string	0%	1	mixed legal system of Islamic religious law, the French...
`legal_system_numeric`	legal_system_numeric	float	0%	1	1975.0
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1996, 2001; newest adopted 30 July 2018
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1996.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the president of the union or supported 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	at least one parent must be a citizen of the Comoros
`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	10 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	10.0
`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	President AZALI Assoumani (since 26 May 2016)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	26.0
+63 more extension fields — download the CSV/Parquet to see them all.

COM 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	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`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	For centuries prior to colonization in the 19th century,...
`background_numeric`	background_numeric	float	0%	1	19.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/cn.json

COM OpenFactBook - Languages — 1 rows, 6 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`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
`languages_text`	languages_text	string	0%	1	Arabic (official), French (official), Shikomoro...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/cn.json

COM OpenFactBook - Migration — 1 rows, 9 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`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	18 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	18.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	38 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	38.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	africa/cn.json

COM OpenFactBook - Military And Security — 1 rows, 10 columns

Loading data…

Field details — 15 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	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (12) — 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	National Army for Development (l'Armee Nationale de...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2024.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimated 600 Defense Force; estimated 500 Federal Police (2023)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	600.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the AND is lightly armed and equipped with small arms, a...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2024.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	18-25 years of age for voluntary military service for...
`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	the focus for the security forces is search and rescue...
`military_note_numeric`	military_note_numeric	float	0%	1	2024.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/cn.json

COM OpenFactBook - People And Society — 1 rows, 121 columns

Loading data…

Field details — 132 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	911707.0
`population_male_numeric`	Population male	float	SEL	0%	1	441215.0
`population_female_numeric`	Population female	float	SEL	0%	1	470492.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	32.6
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	62.8
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	4.6
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	57.3
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	49.9
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	7.4
`median_age_total_numeric`	Median age	float	SEL	0%	1	23.1
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.26
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	21.12
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.38
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-2.17
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	30.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.97
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.03
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.94
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	179.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	53.9
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	67.8
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.52
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.24
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.42
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	75.8
`country_code`	Country code	string	SEL	0%	1	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (104) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	911,707 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	441,215
`population_female_text`	population_female_text	string	0%	1	470,492
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	32.6% (male 146,480/female 146,626)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	62.8% (male 271,139/female 294,231)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	4.6% (2024 est.) (male 18,139/female 23,526)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	57.3 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	49.9 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	7.4 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	13.5 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	13.5
`median_age_total_text`	median_age_total_text	string	0%	1	23.1 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	22.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	22.1
`median_age_female_text`	median_age_female_text	string	0%	1	23.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	23.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.26% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	21.12 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.38 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-2.17 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	the capital city of Maroni, on the western side of the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	30.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.97% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	62,000 MORONI (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	62000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.03 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.0
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.92 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.92
+74 more extension fields — download the CSV/Parquet to see them all.

COM OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 16 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	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	98.1
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	0.6
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.3

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 98.1% (overwhelmingly Sunni Muslim, small Shia...
`religions_numeric`	religions_numeric	float	0%	1	98.1
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/cn.json

Pending (6) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_ethnic_religionist_pct_synth`	ethnic religionist	numeric	0%	-	1.1
`composition_ethnicity_antalote_pct_synth`	Antalote	numeric	0%	-	-
`composition_ethnicity_cafre_pct_synth`	Cafre	numeric	0%	-	-
`composition_ethnicity_makoa_pct_synth`	Makoa	numeric	0%	-	-
`composition_ethnicity_oimatsaha_pct_synth`	Oimatsaha	numeric	0%	-	-
`composition_ethnicity_sakalava_pct_synth`	Sakalava	numeric	0%	-	-

COM OpenFactBook - Transportation — 1 rows, 25 columns

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Field details — 26 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	3.0
`country_code`	Country code	string	SEL	0%	1	COM
`country_name`	Country name	string	SEL	0%	1	Comoros
`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
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	D6
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	6.0
`airports_text`	airports_text	string	0%	1	3 (2025)
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	273 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	273.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 17, container ship 7, general cargo 125,...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	17.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	4 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	4.0
`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	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`ports_small_text`	ports_small_text	float	0%	1	0
`ports_small_numeric`	ports_small_numeric	float	0%	1	0.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	4
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	4.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	3
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	3.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Dzaoudzi, Fomboni, Moroni, Moutsamoudu
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/cn.json

COM USAID DHS Program COM-DHS Health Surveys

9 rows · 2 tables · 2012 USAID DHS Program 0 1 2 3 5 SEL 3 CCL 10 ext ▶

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

1 Admin 1 — 2 table(s)

COM DHS - Ethnicity Indicators — 3 rows, 8 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	3	57.2, 51.4, 75.3
`men_who_are_literate`	Men who are literate	float	CCL	0%	3	69.4, 72.0, 82.7

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Comoros, Comoros, Comoros
`survey_year`	survey_year	integer	0%	1	2012, 2012, 2012
`region`	region	string	0%	3	Mwali, Ndzuwani, Ngazidja
`survey_id`	survey_id	string	0%	1	KM2012DHS, KM2012DHS, KM2012DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS

COM DHS - Health Indicators — 6 rows, 10 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	6	7.0, 7.2, 5.8, 9.6, 9.1
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	6	118.0, 32.0, 83.0, 34.0, 79.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	6	57.7, 62.6, 47.2, 50.2, 61.7
`children_underweight`	Children underweight	float	CCL	0%	6	22.7, 14.5, 26.5, 19.1, 16.4

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Comoros, Comoros, Comoros, Comoros, Comoros
`survey_year`	survey_year	integer	0%	2	1996, 2012, 1996, 2012, 1996
`region`	region	string	0%	3	Mwali, Mwali, Ndzuwani, Ndzuwani, Ngazidja
`survey_id`	survey_id	string	0%	2	KM1996DHS, KM2012DHS, KM1996DHS, KM2012DHS, KM1996DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

COM LandScan Global (ORNL) COM-LANDSCAN Modeled Population

6 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)

COM 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	COM
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Comoros
`admin_code`	Admin code	string	SEL	0%	1	59328049B71413057484473
`area_sqkm`	Area sqkm	float	SEL	0%	1	1650.1709
`pop_2024`	Population count	integer	SEL	0%	1	816440
`pop_density_2024`	Population density	float	SEL	0%	1	494.76

1 Admin 1 — 1 table(s)

COM LandScan - Population Admin1 (admin_1) — 3 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	COM, COM, COM
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	3	Grande Comore, Anjouan, Moheli
`admin_code`	Admin code	string	SEL	0%	3	22816118B95538827312271, 22816118B92166148047088,...
`area_sqkm`	Area sqkm	float	SEL	0%	3	1014.9658, 427.302, 207.8526
`pop_2024`	Population count	integer	SEL	0%	3	424255, 343538, 48647
`pop_density_2024`	Population density	float	SEL	0%	3	418.0, 803.97, 234.05

Locality Locality — 1 table(s)

COM LandScan - Cities (locality) — 2 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	COM, COM
`admin_level`	Admin level	string	SEL	0%	1	locality, locality
`admin_name`	Admin name	string	SEL	0%	2	Moroni, Fomboni
`admin_code`	Admin code	integer	SEL	0%	2	148, 320
`area_sqkm`	Area sqkm	float	SEL	0%	2	35.7784, 13.9147
`pop_2024`	Population count	integer	SEL	0%	2	156304, 27026
`pop_density_2024`	Population density	float	SEL	0%	2	4368.67, 1942.26

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%	2	175832, 236188
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	2	0.889, 0.114

COM Glottolog Language Catalog COM-GLOTTOLOG Language

5 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)

COM Glottolog - Languages — 5 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%	5	maor1244, mwal1237, ndzw1235, ngaz1238, stan1318
`name`	Name	string	CCL	0%	5	Maore Comorian, Mwali Comorian, Ndzwani Comorian,...
`iso639_3`	Iso639 3	string	CCL	0%	5	swb, wlc, wni, zdj, arb
`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%	2	atla1278, atla1278, atla1278, atla1278, afro1255
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	3	shin1269, como1260, shin1269, como1260, arab1395
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	2	2, 0, 0, 0, 2

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	5	-12.830306, -12.3164, -12.2123, -11.6129, 27.9625
`longitude`	longitude	float	0%	5	45.154942, 43.741, 44.3709, 43.36, 43.8525
`country_codes`	Country codes	string	0%	3	['FR', 'KM', 'MG', 'RE', 'YT'], ['KM'], ['KM'], ['KM'],...
`classification`	classification	string	0%	1	[], [], [], [], []

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

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

COM NGA GNS - Language — 4 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	COM, COM, COM, COM
`gns_language_code`	gns_language_code	string	CCL	0%	4	ara, fra, swb, eng
`gns_language_name`	gns_language_name	string	CCL	0%	4	Arabic, French, Comorian, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	40, 19, 10, 6
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	53.3333, 25.3333, 13.3333, 8.0
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	2	19, 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

COM 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	COM
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Comoros
`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	99.7954
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	19

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	1466
`gns_feature_count`	gns_feature_count	integer	0%	1	1134
`gns_endonym_count`	gns_endonym_count	integer	0%	1	1463
`gns_exonym_count`	gns_exonym_count	integer	0%	1	3
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	538
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	400
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	493
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	380
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	297
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	263
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	51
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	4
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	44
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	44
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	22
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	22
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	21
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	21

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

3 rows · 1 table · 2017 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 5 SEL ▶

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1 Admin 1 — 1 table(s)

COM COD PS - COM Codps — 3 rows, 62 columns

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Field details — 62 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	3	KM3, KM1, KM2
`region_name`	Region name	string	SEL	0%	3	Mwali, Ndzuwani, Ngazidja
`F_TL`	Female population	integer	SEL	0%	3	24947, 162272, 189284
`M_TL`	Male population	integer	SEL	0%	3	26619, 165109, 190080
`T_TL`	Total population	integer	SEL	0%	3	51566, 327381, 379364

Pending (57) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2017, 2017, 2017
`ISO3`	ISO3	string	0%	1	COM, COM, COM
`F_00_04`	Female population age 0-4	integer	0%	3	4122, 24571, 21844
`F_05_09`	Female population age 5-9	integer	0%	3	3743, 24213, 20530
`F_10_14`	Female population age 10-14	integer	0%	3	3186, 20929, 19199
`F_15_19`	Female population age 15-19	integer	0%	3	2696, 18568, 18681
`F_20_24`	Female population age 20-24	integer	0%	3	2100, 13445, 16159
`F_25_29`	Female population age 25-29	integer	0%	3	1860, 12061, 16053
`F_30_34`	Female population age 30-34	integer	0%	3	1673, 9314, 14508
`F_35_39`	Female population age 35-39	integer	0%	3	1377, 8621, 13076
`F_40_44`	Female population age 40-44	integer	0%	3	1091, 7102, 10080
`F_45_49`	Female population age 45-49	integer	0%	3	770, 6066, 7979
`F_50_54`	Female population age 50-54	integer	0%	3	642, 4684, 6718
`F_55_59`	Female population age 55-59	integer	0%	3	445, 3443, 5738
`F_60_64`	Female population age 60-64	integer	0%	3	425, 2673, 5012
`F_65_69`	Female population age 65-69	integer	0%	3	250, 2247, 3775
`F_70_74`	Female population age 70-74	integer	0%	3	214, 1724, 3597
`F_75_79`	Female population age 75-79	integer	0%	3	127, 1138, 2187
`F_80_84`	Female population age 80-84	integer	0%	3	125, 762, 2039
`F_85Plus`	F_85Plus	integer	0%	3	101, 711, 2109
`M_00_04`	Male population age 0-4	integer	0%	3	4256, 25973, 22814
`M_05_09`	Male population age 5-9	integer	0%	3	3923, 25550, 21373
`M_10_14`	Male population age 10-14	integer	0%	3	3475, 22512, 20838
`M_15_19`	Male population age 15-19	integer	0%	3	2965, 18420, 20093
`M_20_24`	Male population age 20-24	integer	0%	3	1918, 11624, 15914
`M_25_29`	Male population age 25-29	integer	0%	3	1666, 10866, 14921
`M_30_34`	Male population age 30-34	integer	0%	3	1761, 9492, 14232
`M_35_39`	Male population age 35-39	integer	0%	3	1496, 8729, 13005
`M_40_44`	Male population age 40-44	integer	0%	3	1343, 7482, 10648
+27 more pending fields — download the CSV/Parquet to see them all.

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

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

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Locality Locality — 1 table(s)

COM GHS-UCDB - Cities (locality) — 2 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%	2	Fomboni, Moroni
`country_code`	Country code	string	SEL	0%	1	COM, COM
`population`	Population count	integer	SEL	0%	2	236188, 175832

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	2	320, 148
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Comoros, Comoros
`population_year`	population_year	integer	0%	1	2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

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

1 rows × 287 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

COM Inform - Risk Index — 1 rows, 287 columns

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Field details — 287 fields (type, nulls, unique, samples)

Pending (287) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	COM
`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	1861.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.0
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	1.12192446476958
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	8.5
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	19.6005058288574
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	6.9
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	5.2
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	6.2
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	9.3
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	4.5
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	4.1
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	4.9
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	2.0
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	8.9
`inform_cc_inf_com`	Communication	float	0%	1	4.7
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	4.6
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.8
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	6.8
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	6.7
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	4.7
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	3.0
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	6.4
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	4.8
`inform_institutional_capacity`	Institutional	float	0%	1	8.1
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	8.5
`inform_cc_ins_drr_sg_dsr_lgrgsr`	Disaster Risk Reduction SG_DSR_LGRGSR [CC.INS.DRR.SG_DSR_LGRGSR]	float	0%	1	7.9
+257 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

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Language	Place names	Share*	Script
Arabic (ara)	40	53.3%	Arabic
French (fra)	19	25.3%	—
Comorian (swb)	10	13.3%	—
English (eng)	6	8.0%	—

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