ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | YEM, YEM, YEM, YEM, YEM |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 9 | Total, Abyan, Aden (town and countryside), Lahej, Ad... |
human_development_index |
Human development index | float | SEL | 0% | 89 | 0.443, 0.548, 0.411, 0.365, 0.367 |
health_index |
Health index | float | SEL | 0% | 80 | 0.593, 0.663, 0.602, 0.542, 0.543 |
education_index |
Education index | float | SEL | 0% | 87 | 0.3, 0.449, 0.241, 0.208, 0.219 |
income_index |
Income index | float | SEL | 0% | 72 | 0.488, 0.553, 0.48, 0.433, 0.417 |
life_expectancy |
Life expectancy | float | SEL | 0% | 97 | 58.53, 63.13, 59.12, 55.21, 55.29 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 99 | 4.495, 8.372, 3.153, 2.812, 2.769 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 12 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| 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 | 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% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 10 | ['OM', 'YE'], ['AE', 'BH', 'IQ', 'IR', 'KW', 'OM', 'QA',... |
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 |
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_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .ye |
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_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 |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | 7O |
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_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 | EA001:0; EA002:0; EA003:0; EA004:3; EA005:7 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:1; EA007:8; EA008:7; EA009:6; EA010:8 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:6; EA029:6; EA030:7; EA031:NA; EA032:3 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:4; EA034:4; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:4; EA112:1 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:1; EA012:8; EA013:9 |
| 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | YEM |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 179 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 2 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 2 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 1 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 9.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 9 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 114 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 4 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 3 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 164 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 2 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 2 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 13 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 7.5 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 7.25 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 52 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.63 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | integer | 0% | 1 | 5 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 21 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 8 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 7 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 27 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 6.57 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 6.13 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 150 |
| +74 more pending 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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
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.
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 |
|---|---|---|
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| Global Data Lab | academic | api |
| World Values Survey | academic | metadata_catalog |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| 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.