YEM-LANDSCAN (2024)
— 22 subnational units
across
admin_1 (22).
Modeled, not enumerated — it is an estimate built on census
inputs, not the published tabulation.
3 further sources (GI-TOC / ENACT, Global Data Lab, World Values Survey) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YE, YE, YE, YE, YE |
population_count |
Population count | float | SEL | 2% | 65 | 5532301.0, 5655232.0, 5782221.0, 5911135.0, 6048006.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 33.462, 34.058, 33.669, 33.431, 34.907 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 56% | 29 | 910.422465960748, 1016.30223044813, 1198.13031674085,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 99% | 1 | 37.0900001525879 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 428.8, 422.1, 415.3, 407.8, 399.7 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 40.1, 34.8, 48.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Yemen, Rep., Yemen, Rep., Yemen, Rep., Yemen, Rep., Yemen, Rep. |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YE, YE, YE, YE, YE |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 33.462, 34.058, 33.669, 33.431, 34.907 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 5% | 63 | 84.8, 84.2, 83.4, 82.7, 82.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 428.8, 422.1, 415.3, 407.8, 399.7 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 34 | 430.0, 430.0, 400.0, 388.0, 371.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 7.988, 8.0, 8.01, 8.028, 8.071 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 56.016, 56.195, 56.337, 56.512, 56.763 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 33.784, 33.245, 33.636, 33.88, 32.408 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 74% | 16 | 0.023, 0.032, 0.029, 0.145, 0.171 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 73% | 15 | 0.454545468091965, 0.809700012207031, 0.865499973297119,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 37 | 1.0, 3.0, 4.0, 5.0, 7.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.66606569, 4.94514799, 4.83237982, 5.75758314, 5.5144043 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Yemen, Rep., Yemen, Rep., Yemen, Rep., Yemen, Rep., Yemen, Rep. |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | YEM, YEM, YEM, YEM, YEM |
country_name |
country_name | string | 0% | 1 | Yemen, Rep., Yemen, Rep., Yemen, Rep., Yemen, Rep., Yemen, Rep. |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 118863.0, 136515.0, 144940.0, 171871.0, 288394.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 6 | 0.9, 0.8, 0.7, 0.8, 1.1 |
net_migration |
net_migration | float | 0% | 66 | -3431.0, -3503.0, -3572.0, -3640.0, -3712.0 |
remittances_received_usd |
remittances_received_usd | float | 59% | 26 | 1498199951.0, 998299987.8, 1018200012.0, 1038599976.0,... |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 59% | 27 | 11.8492652148596, 6.80715761671814, 5.66946485920665,... |
remittances_paid_usd |
remittances_paid_usd | float | 59% | 26 | 106400001.5, 125400001.5, 93800003.05, 94300003.05, 68400001.53 |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Yemen |
admin_code |
Admin code | string | SEL | 0% | 1 | 85191696B36695107945551 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 452877.6919 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 32098013 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 70.88 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM, YEM, YEM, YEM, YEM |
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% | 22 | Hadhramaut, Ibb Governorate, Ta'izz Governorate, Dhamar... |
admin_code |
Admin code | string | SEL | 0% | 22 | 18629408B49078263925584, 18629408B5376796402494,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 22 | 162556.8855, 5346.8024, 10002.6813, 7587.2442, 11769.1399 |
pop_2024 |
Population count | integer | SEL | 0% | 22 | 3544916, 3082838, 3018656, 2561842, 2527782 |
pop_density_2024 |
Population density | float | SEL | 0% | 22 | 21.81, 576.58, 301.78, 337.65, 214.78 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM, YEM, YEM, YEM, YEM |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 58 | Sana'a, Ibb, Hodeidah, Dhamar, Ta'izz |
admin_code |
Admin code | integer | SEL | 0% | 58 | 3993, 4387, 472, 4685, 4118 |
area_sqkm |
Area sqkm | float | SEL | 0% | 58 | 216.746, 58.6524, 58.6562, 35.7901, 71.571 |
pop_2024 |
Population count | integer | SEL | 0% | 58 | 1194139, 426066, 345654, 309247, 261700 |
pop_density_2024 |
Population density | float | SEL | 0% | 58 | 5509.39, 7264.26, 5892.88, 8640.57, 3656.51 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 58 | 3759520, 843581, 776803, 337585, 1284739 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 55 | 0.318, 0.505, 0.445, 0.916, 0.204 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 58 | Sana'a, Ta'izz, Ibb, Hodeidah, Bi'r Rubak |
country_code |
Country code | string | SEL | 0% | 1 | YEM, YEM, YEM, YEM, YEM |
population |
Population count | integer | SEL | 0% | 58 | 3759520, 1284739, 843581, 776803, 686016 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 58 | 3993, 4118, 4387, 472, 5114 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Yemen, Yemen, Yemen, Yemen, Yemen |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 19 | bath1244, gulf1241, hadr1235, hadr1236, hija1235 |
name |
Name | string | CCL | 0% | 19 | Bathari, Gulf Arabic, Hadrami, Hadrami Arabic, Hijazi Arabic |
iso639_3 |
Iso639 3 | string | CCL | 5% | 18 | bhm, afb, xhd, ayh, acw |
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 | afro1255, afro1255, afro1255, afro1255, afro1255 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 10 | west2859, nort3402, sayh1236, arab1393, arab1393 |
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% | 7 | 0, 8, 0, 0, 4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 19 | 17.88699, 30.17, 15.528, 15.4468, 22.8346 |
longitude |
longitude | float | 0% | 19 | 55.61232, 47.5, 47.603, 48.6524, 38.9237 |
country_codes |
Country codes | string | 0% | 10 | ['OM', 'YE'], ['AE', 'BH', 'IQ', 'IR', 'KW', 'OM', 'QA',... |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | 2.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 51.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 14.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 1.0 |
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 728,000 (2022 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 728000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2022 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 20 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 20.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 51 (2023 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-run TV with 2 stations; state-run radio with 2... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .ye |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 14% (2020 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 486,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 486000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 1 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ym.json |
| 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 | 200.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 8.278 |
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | low-income Middle Eastern economy; infrastructure,... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $18.719 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 | 18.719 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $18.908 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 | 18.908 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $19.294 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 | 19.294 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2015 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2018_text |
Real gdp growth rate 2018 (text) | string | 0% | 1 | 0.8% (2018 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2018_numeric |
Real gdp growth rate 2018 (numeric) | float | 0% | 1 | 0.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2017_text |
Real gdp growth rate 2017 (text) | string | 0% | 1 | -5.1% (2017 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2017_numeric |
Real gdp growth rate 2017 (numeric) | float | 0% | 1 | -5.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2016_text |
Real gdp growth rate 2016 (text) | string | 0% | 1 | -9.4% (2016 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2016_numeric |
Real gdp growth rate 2016 (numeric) | float | 0% | 1 | -9.4 |
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 | $200 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $200 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 200.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $300 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 300.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2015 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $8.278 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 29.1% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 29.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 26% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 26.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text |
Inflation rate consumer prices 2020 (text) | string | 0% | 1 | 19.6% (2020 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric |
Inflation rate consumer prices 2020 (numeric) | float | 0% | 1 | 19.6 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 28.7% (2018 est.) |
| +92 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 76.0 |
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 76% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 96.1% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 96.1 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 65% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 65.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 1.79 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 1.79 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 2.579 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 2.579 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 486.24 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 486.24 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 83% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 83.0 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 17% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 17.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 27,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 27000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 36,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 36000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 15,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 15000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 58,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 58000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 3 billion barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 3.0 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 10.286 million cubic meters (2023 est.) |
natural_gas_production_numeric |
natural_gas_production_numeric | float | 0% | 1 | 10.286 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 10.286 million cubic meters (2023 est.) |
natural_gas_consumption_numeric |
natural_gas_consumption_numeric | float | 0% | 1 | 10.286 |
natural_gas_proven_reserves_text |
natural_gas_proven_reserves_text | string | 0% | 1 | 478.555 billion cubic meters (2021 est.) |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 44.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 1.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 39.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.71 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 4.837 |
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | limited natural freshwater resources; inadequate... |
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 | Climate Change-Paris Agreement, Comprehensive Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | mostly desert; hot and humid along west coast; temperate... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 44.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 2.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 2.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.6 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 41.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 41.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 54.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 54.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 39.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.71% annual rate of change (2015-20 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 8.193 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 8.193 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 93,000 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 | 93000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 8.08 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 | 8.08 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 21,000 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 | 21000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 43.9 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 43.9 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 190.5 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 190.5 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 192.2 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 192.2 |
| +17 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Yemeni(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Yemeni |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | predominantly Arab; but also Afro-Arab, South Asian, European |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ym.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 527968.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 527968.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 0.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 1601.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 1906.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3666.0 |
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 | 44.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 1.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 6800.0 |
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Middle East, bordering the Arabian Sea, Gulf of Aden,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 15 00 N, 48 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
map_references_text |
map_references_text | string | 0% | 1 | Middle East |
area_total_text |
area_total_text | string | 0% | 1 | 527,968 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 527,968 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 0 sq km |
area_note |
area_note | string | 0% | 1 | note: includes Perim, Socotra, the former Yemen Arab... |
area_comparative_text |
area_comparative_text | string | 0% | 1 | almost four times the size of Alabama; slightly larger... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 1,601 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Oman 294 km; Saudi Arabia 1,307 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 294.0 |
coastline_text |
coastline_text | string | 0% | 1 | 1,906 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 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm or to the edge of the continental margin |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | mostly desert; hot and humid along west coast; temperate... |
terrain_text |
terrain_text | string | 0% | 1 | narrow coastal plain backed by flat-topped hills and... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Jabal an Nabi Shu'ayb 3,666 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Arabian Sea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 999 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 999.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, fish, rock salt, marble; small deposits of... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 44.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 2.2% (2023 est.) |
| +15 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Republic of Yemen |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Yemen |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Al Jumhuriyah al Yamaniyah |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Al Yaman |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Yemen Arab Republic [Yemen (Sanaa) or North Yemen] and... |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name origin is unclear but may come from the Arabic... |
government_type_text |
government_type_text | string | 0% | 1 | in transition |
capital_name_text |
capital_name_text | string | 0% | 1 | Sanaa |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 15 21 N, 44 12 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
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 reputed to mean "fortified place" in an... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 22 governorates (muhafazat, singular - muhafazah);... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 22.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of Islamic (sharia) law, Napoleonic law,... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | adopted by referendum 16 May 1991 (following unification) |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 16.0 |
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 Yemen; if the father is... |
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 | Presidential Leadership Council Chairperson Dr. Rashad... |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 19.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Salim Salih BIN BURAYK (since 9 May 2025) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 9.0 |
| +78 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The Kingdom of Yemen (colloquially known as North Yemen)... |
background_numeric |
background_numeric | float | 0% | 1 | 1918.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ym.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Arabic (official) |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | كتاب حقائق العالم، المصدر الذي لا يمكن الاستغناء عنه... |
languages_note |
languages_note | string | 0% | 1 | note: a distinct Socotri language is widely used on... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ym.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 60,921 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 60921.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 4,795,983 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 4795983.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Special Case; for more details, go to:... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ym.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Yemeni Armed Forces: Yemeni National Army, Air Force and... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | not available |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Yemeni Government forces have an inventory... |
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 | limited available information; 18 is the legal minimum... |
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 | government forces under the Yemeni Ministry of Defense... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2022.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ym.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 34505496.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 17275539.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 17229957.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 34.4 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 62.2 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 70.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 64.8 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 20.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.22 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 29.07 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.21 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.65 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 39.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.71 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.02 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 118.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 42.4 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 68.2 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.65 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.78 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.1 |
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 34,505,496 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 17,275,539 |
population_female_text |
population_female_text | string | 0% | 1 | 17,229,957 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 34.4% (male 5,622,998/female 5,430,285) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 62.2% (male 10,112,603/female 9,865,805) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.4% (2024 est.) (male 485,538/female 623,214) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 70.2 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 64.8 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.4 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 18.4 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 18.4 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 20.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 21.9 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 21.9 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 22.2 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 22.2 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.22% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 29.07 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.21 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.65 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the vast majority of the population is found in the Asir... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 39.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.71% annual rate of change (2015-20 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.292 million SANAA (capital), 1.080 million Aden,... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.292 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.04 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.04 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.03 |
| +77 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 99.1 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 99.1% (official; virtually all are citizens, an... |
religions_numeric |
religions_numeric | float | 0% | 1 | 99.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ym.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_ethnicity_predominantly_arab_but_also_afro_arab_pct_synth |
predominantly Arab; but also Afro-Arab | numeric | 0% | - | - |
composition_ethnicity_south_asian_pct_synth |
South Asian | numeric | 0% | - | - |
composition_ethnicity_european_pct_synth |
European | numeric | 0% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Ansarallah (Houthis); Hizballah; Islamic Revolutionary... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ym.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 37.0 |
country_code |
Country code | string | SEL | 0% | 1 | YEM |
country_name |
Country name | string | SEL | 0% | 1 | Yemen |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | 7O |
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 | 37 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 6 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 6.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 30 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 30.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 2, oil tanker 1, other 27 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 2.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 10 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 10.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 1 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 1.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 2 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 2.0 |
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 | 5 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 5.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 6 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 6.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Aden, Al Ahmadi, Al Mukalla, Al Mukha, Ras Isa Marine Terminal |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ym.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | YEM, YEM |
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 | 184566, 301 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 99.8372, 0.1628 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 80120, 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | YEM |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Yemen |
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 | 99.991 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 80131 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 199634 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 102344 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 199616 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 18 |
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_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 9087 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 5382 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 163249 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 82378 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 8592 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 4255 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 9578 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 5763 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 4058 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 2156 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 5048 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 2399 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 21 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 10 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM |
society_id |
Society id | string | CCL | 0% | 1 | Cj9 |
society_name |
Society name | string | CCL | 0% | 1 | Yemeni |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | sana1295 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA017:4; EA018:1; EA019:1; EA020:1; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:1; EA007:8; EA008:7; EA009:6; EA023:NA; EA025:NA |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA001:0; EA002:0; EA003:0; EA004:3; EA005:7; EA028:6;... |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA032:3; EA033:4 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:4; EA112:1 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA010:8; EA011:1; EA012:8; EA013:9; EA014:11 |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 1 | EA030:7; EA031:NA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Yemen |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 15.0 |
longitude |
longitude | float | 0% | 1 | 45.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | YEM |
society_id |
society_id | string | CCL | 0% | 1 | Cj9 |
society_name |
society_name | string | CCL | 0% | 1 | Yemeni |
language_glottocode |
language_glottocode | string | CCL | 0% | 1 | sana1295 |
language_name |
language_name | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Yemen |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 15.0 |
longitude |
longitude | float | 0% | 1 | 45.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
source |
source | string | 0% | 1 | D-PLACE: Database of Places, Language, Culture, and Environment |
source_url |
source_url | string | 0% | 1 | https://d-place.org |
license |
license | string | 0% | 1 | CC BY 4.0 |
data_vintage |
data_vintage | integer | 0% | 1 | 2024 |
jurisdictional_hierarchy_of_local_community |
jurisdictional_hierarchy_of_local_community | integer | 0% | 1 | 3 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 0% | 1 | 4 |
religion_high_gods |
religion_high_gods | integer | 0% | 1 | 4 |
trance_states |
trance_states | integer | 0% | 1 | 1 |
settlement_patterns |
settlement_patterns | integer | 0% | 1 | 7 |
mean_size_of_local_communities |
mean_size_of_local_communities | string | 100% | - | - |
marital_residence_first_years |
marital_residence_first_years | integer | 0% | 1 | 8 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 0% | 1 | 1 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 0% | 1 | 8 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 0% | 1 | 9 |
marital_residence_alternate |
marital_residence_alternate | integer | 0% | 1 | 11 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 1 | 4 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 1 | 1 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 1 | 1 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 1 | 1 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 1 | 9 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | string | 100% | - | - |
descent_major_type |
descent_major_type | integer | 0% | 1 | 1 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | YEM |
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 | 527970.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.275 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.855177544656623 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 8.1 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 20.050407409668 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 6.9 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 6.5 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 7.6 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 9.6 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 9.8 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 9.7 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 10.0 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 9.8 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 1.3 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 9.8 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 5.7 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 7.6 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 1.4 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 8.2 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 6.3 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 5.0 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 9.7 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 4.1 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 7.3 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 5.9 |
inform_cc_ins_drr_sg_dsr_lgrgsr |
Disaster Risk Reduction SG_DSR_LGRGSR [CC.INS.DRR.SG_DSR_LGRGSR] | float | 0% | 1 | 4.1 |
| +242 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share* | Script |
|---|---|---|---|
| Arabic (ara) | 184,566 | 99.8% | Arabic |
| English (eng) | 301 | 0.2% | — |
102,344 distinct features ·
2 languages ·
1 script ·
80,131 names in non-Roman script ·
18 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
* Shares are of the
184,867 names that carry a language
code; the remaining 14,767 of
199,634 are unattributed, so these
percentages do not divide into the headline count.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| Glottolog Language Catalog | academic | bulk_download |
| 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 |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.