ⓘ 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 | SYR, SYR, SYR, SYR, SYR |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 15 | Total, Al Hasaka, Al Latakia, Al Qunitara - Quneitra, Al... |
human_development_index |
Human development index | float | SEL | 0% | 59 | 0.638, 0.581, 0.685, 0.623, 0.571 |
health_index |
Health index | float | SEL | 0% | 43 | 0.767, 0.755, 0.754, 0.749, 0.782 |
education_index |
Education index | float | SEL | 0% | 87 | 0.572, 0.488, 0.708, 0.549, 0.44 |
income_index |
Income index | float | SEL | 0% | 68 | 0.592, 0.532, 0.602, 0.587, 0.542 |
life_expectancy |
Life expectancy | float | SEL | 0% | 84 | 69.83, 69.08, 68.98, 68.7, 70.82 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 98 | 8.576, 6.231, 10.62, 7.378, 5.52 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 7 | 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 | SY, SY, SY, SY, SY |
population_count |
Population count | float | SEL | 2% | 65 | 4673500.0, 4815466.0, 4959340.0, 5110467.0, 5269087.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 52.723, 53.652, 54.569, 55.394, 56.17 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 5% | 63 | 183.525069735278, 196.293561633919, 223.934209140492,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 55.6500015258789, 82.8899993896484, 80.8399963378906,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 168.9, 160.7, 153.3, 146.6, 140.5 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 30.1, 35.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Syrian Arab Republic, Syrian Arab Republic, Syrian Arab... |
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 | SY, SY, SY, SY, SY |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 52.723, 53.652, 54.569, 55.394, 56.17 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 47 | 22.5, 22.1, 21.7, 21.5, 21.3 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 168.9, 160.7, 153.3, 146.6, 140.5 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 21 | 55.0, 52.0, 48.0, 44.0, 41.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 7.505, 7.502, 7.51, 7.511, 7.525 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.383, 47.31, 47.177, 46.982, 46.871 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 16.638, 15.852, 15.085, 14.391, 13.744 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 56% | 28 | 0.216, 0.185, 0.259, 0.256, 0.446 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 53% | 22 | 1.07673752307892, 0.993399977684021, 1.0,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 31 | 13.0, 14.0, 15.0, 21.0, 25.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.57202911, 4.71458244, 4.96416759, 5.13501024, 4.49753141 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Syrian Arab Republic, Syrian Arab Republic, Syrian Arab... |
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 | SYR |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Syrian Arab Republic |
admin_code |
Admin code | string | SEL | 0% | 1 | 73488105B26412584829656 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 186521.7139 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 23752925 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 127.35 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SYR, SYR, SYR, SYR, SYR |
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% | 14 | Aleppo, Rural Damascus, Hama, Damascus, Homs |
admin_code |
Admin code | string | SEL | 0% | 14 | 8384693B67178658489877, 8384693B89451039606890,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 14 | 19890.8775, 26260.2137, 11095.7803, 116.6657, 43232.4318 |
pop_2024 |
Population count | integer | SEL | 0% | 14 | 4235301, 3397142, 2230384, 2129414, 2076313 |
pop_density_2024 |
Population density | float | SEL | 0% | 14 | 212.93, 129.36, 201.01, 18252.27, 48.03 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SYR, SYR, SYR, SYR, SYR |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 39 | Damascus, Aleppo, Homs, Qudsayya, Latakia |
admin_code |
Admin code | integer | SEL | 0% | 39 | 1619, 1799, 2211, 1424, 129 |
area_sqkm |
Area sqkm | float | SEL | 0% | 39 | 269.2936, 242.5047, 106.7478, 28.924, 59.8688 |
pop_2024 |
Population count | integer | SEL | 0% | 39 | 2810357, 1158955, 539851, 333684, 285068 |
pop_density_2024 |
Population density | float | SEL | 0% | 39 | 10436.03, 4779.1, 5057.26, 11536.58, 4761.55 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 39 | 3771638, 3084136, 913554, 310753, 573263 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 39 | 0.745, 0.376, 0.591, 1.074, 0.497 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 39 | Damascus, Aleppo, Homs, Latakia, Qudsayya |
country_code |
Country code | string | SEL | 0% | 1 | SYR, SYR, SYR, SYR, SYR |
population |
Population count | integer | SEL | 0% | 39 | 3771638, 3084136, 913554, 573263, 310753 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 39 | 1619, 1799, 2211, 129, 1424 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Syria, Syria, Syria, Syria, Syria |
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% | 20 | adyg1241, amor1239, assy1241, chal1275, doma1258 |
name |
Name | string | CCL | 0% | 20 | West Circassian, Amorite, Assyrian Neo-Aramaic, Chaldean... |
iso639_3 |
Iso639 3 | string | CCL | 5% | 19 | ady, aii, cld, rmt, xeb |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 5 | abkh1242, afro1255, afro1255, afro1255, indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 18 | circ1239, uncl1507, nort3241, nort3241, indo1322 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 17 | ['IL', 'JO', 'RU', 'SY', 'TR'], ['SY'], ['IQ', 'IR',... |
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% | 13 | 6, 0, 31, 16, 9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 20 | 44.0, 34.71, 36.75, 37.0972, 32.0 |
longitude |
longitude | float | 0% | 19 | 39.33, 40.72, 43.0, 43.5027, 35.0 |
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 | 12.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 71.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .sy |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 35.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 7.0 |
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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 | 2.816 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 2.816 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 12 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 17.6 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 17.6 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 71 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-run TV has 2 networks and 5 satellite channels;... |
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 | 35% (2019 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1.62 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1.62 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 7 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 19.993 |
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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; prior infrastructure... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 11.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $98.858 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 | 98.858 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $100.066 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 | 100.066 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_text |
Real gdp purchasing power parity 2021 (text) | string | 0% | 1 | $99.338 billion (2021 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_numeric |
Real gdp purchasing power parity 2021 (numeric) | float | 0% | 1 | 99.338 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -1.2% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -1.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 0.7% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 0.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2021_text |
Real gdp growth rate 2021 (text) | string | 0% | 1 | 1.9% (2021 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2021_numeric |
Real gdp growth rate 2021 (numeric) | float | 0% | 1 | 1.9 |
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_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $4,200 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 4200.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $4,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 4500.0 |
real_gdp_per_capita_real_gdp_per_capita_2021_text |
Real gdp per capita 2021 (text) | string | 0% | 1 | $4,600 (2021 est.) |
real_gdp_per_capita_real_gdp_per_capita_2021_numeric |
Real gdp per capita 2021 (numeric) | float | 0% | 1 | 4600.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $19.993 billion (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 94.1% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 94.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 98.3% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 98.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text |
Inflation rate consumer prices 2020 (text) | string | 0% | 1 | 114.2% (2020 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric |
Inflation rate consumer prices 2020 (numeric) | float | 0% | 1 | 114.2 |
| +100 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 | 89.0 |
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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 | 89% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 100% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 100.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 75% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 75.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 9.636 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 9.636 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 15.522 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 15.522 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 358.723 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 358.723 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 4.214 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 4.214 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 95.6% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 95.6 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.5% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.5 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 3.8% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 3.8 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.2 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 15,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 15000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 15,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 15000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 65,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 65000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 102,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 102000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 2.5 billion barrels (2021 est.) |
| +11 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 | 74.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 2.9 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 57.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 5.38 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 4.5 |
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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 | deforestation; overgrazing; soil erosion;... |
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 | Environmental Modification |
climate_text |
climate_text | string | 0% | 1 | mostly desert; hot, dry, sunny summers (June to August)... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 74.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 24% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 24.0 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 5.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 5.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 44.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 44.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 2.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 23% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 23.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 57.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 5.38% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 20.243 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 20.243 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 33,000 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 | 33000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 14.79 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 | 14.79 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 5.42 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 5.42 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 25.3 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 25.3 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 519.8 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 519.8 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 144.7 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 144.7 |
| +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 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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 | Syrian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Syrian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Arab ~50%, Alawite ~15%, Kurd ~10%, Levantine ~10%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 50.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 187437.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 185887.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 1550.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2363.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 193.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2814.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -66.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 74.1 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 2.9 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 9820.0 |
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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 Mediterranean Sea, between... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 35 00 N, 38 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 35.0 |
map_references_text |
map_references_text | string | 0% | 1 | Middle East |
area_total_text |
area_total_text | string | 0% | 1 | 187,437 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 185,887 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 1,550 sq km |
area_note |
area_note | string | 0% | 1 | note: includes 1,295 sq km of Israeli-occupied territory |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly more than 1.5 times the size of Pennsylvania |
area_comparative_numeric |
area_comparative_numeric | float | 0% | 1 | 1.5 |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,363 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Iraq 599 km; Israel 83 km; Jordan 379 km; Lebanon 403... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 599.0 |
coastline_text |
coastline_text | string | 0% | 1 | 193 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 |
climate_text |
climate_text | string | 0% | 1 | mostly desert; hot, dry, sunny summers (June to August)... |
terrain_text |
terrain_text | string | 0% | 1 | primarily semiarid and desert plateau; narrow coastal... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Hermon (Jabal a-Shayk) 2,814 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Yarmuk River -66 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 514 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 514.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, phosphates, chrome and manganese ores,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 74.1% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 24% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 24.0 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 5.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 5.7 |
| +16 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 | SYR |
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 | Syrian Arab Republic |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Syria |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Al Jumhuriyah al Arabiyah as Suriyah |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Suriyah |
country_name_former_text |
country_name_former_text | string | 0% | 1 | United Arab Republic (with Egypt) |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the source of the name is uncertain; the name appears as... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 4000.0 |
government_type_text |
government_type_text | string | 0% | 1 | transitional presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Damascus |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 33 30 N, 36 18 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 33.0 |
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 city has an ancient, pre-Semitic name of unknown origin |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 14 provinces (muhafazat, singular - muhafazah); Al... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 14.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of civil and Islamic (sharia) law (for... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | Syria's 2012 constitution was rescinded by the Hayat... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 2012.0 |
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 Syria; if the father is... |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
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 | Ahmad al-Shara'; former President Bashar al-ASAD was... |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 8.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Muhammad al-BASHIR (since 8 December 2024) |
| +57 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 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | After World War I, France acquired a mandate over the... |
background_numeric |
background_numeric | float | 0% | 1 | 1946.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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), Kurdish, Armenian, Aramaic,... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | كتاب حقائق العالم، المصدر الذي لا يمكن الاستغناء عنه... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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 | 16,402 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 16402.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 7,408,809 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 7408809.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 160,000 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 160000.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 3 — Syria does not fully meet the minimum standards... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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 | the interim government authorities in Syria have... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 6.5% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 6.5 |
military_expenditures_military_expenditures_2018_text |
Military expenditures 2018 (text) | string | 0% | 1 | 6.7% of GDP (2018 est.) |
military_expenditures_military_expenditures_2018_numeric |
Military expenditures 2018 (numeric) | float | 0% | 1 | 6.7 |
military_expenditures_military_expenditures_2017_text |
Military expenditures 2017 (text) | string | 0% | 1 | 6.8% of GDP (2017 est.) |
military_expenditures_military_expenditures_2017_numeric |
Military expenditures 2017 (numeric) | float | 0% | 1 | 6.8 |
military_expenditures_military_expenditures_2016_text |
Military expenditures 2016 (text) | string | 0% | 1 | 6.9% of GDP (2016 est.) |
military_expenditures_military_expenditures_2016_numeric |
Military expenditures 2016 (numeric) | float | 0% | 1 | 6.9 |
military_expenditures_military_expenditures_2015_text |
Military expenditures 2015 (text) | string | 0% | 1 | 7.2% of GDP (2015 est.) |
military_expenditures_military_expenditures_2015_numeric |
Military expenditures 2015 (numeric) | float | 0% | 1 | 7.2 |
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 military forces of Syria are equipped with Russian... |
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 | under Bashar al-ASAD, Syrian men aged 18-38 were... |
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 | as of September 2025, the government did not exercise... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 24261882.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 12183128.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 12078754.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 33.0 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 62.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 4.2 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 58.1 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 51.2 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 6.9 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 24.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.63 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 21.26 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 3.97 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -1.03 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 57.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 5.38 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.06 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.01 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 20.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 14.7 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 74.8 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.64 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.28 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.52 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.4 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 94.4 |
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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 | 24,261,882 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 12,183,128 |
population_female_text |
population_female_text | string | 0% | 1 | 12,078,754 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 33% (male 4,037,493/female 3,828,777) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 62.8% (male 7,475,355/female 7,522,797) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 4.2% (2024 est.) (male 468,730/female 532,271) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 58.1 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 51.2 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 6.9 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 14.5 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 14.5 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 24.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 23.6 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 23.6 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 24.7 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 24.7 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.63% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 21.26 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 3.97 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -1.03 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | significant population density along the Mediterranean... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 57.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 5.38% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 2.585 million DAMASCUS (capital), 2.203 million Aleppo,... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 2.585 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.05 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.99 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.99 |
| +63 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 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 87.0 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 10.0 |
composition_ethnicity_primary_label_synth |
Arab ~ | string | CCL | 0% | - | Arab ~ |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 87% (official; includes Sunni 74% and Alawi,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 87.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_druze_pct_synth |
Druze | numeric | 0% | - | 3.0 |
composition_ethnicity_arab_pct_synth |
Arab ~ | numeric | 0% | - | 50.0 |
composition_ethnicity_alawite_pct_synth |
Alawite ~ | numeric | 0% | - | 15.0 |
composition_ethnicity_kurd_pct_synth |
Kurd ~ | numeric | 0% | - | 10.0 |
composition_ethnicity_levantine_pct_synth |
Levantine ~ | numeric | 0% | - | 10.0 |
composition_ethnicity_other_pct_synth |
other ~ | numeric | 0% | - | 15.0 |
composition_ethnicity_primary_share_pct_synth |
Arab ~ | numeric | 0% | - | 50.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Syrian Space Agency (created in 2014); status is unclear... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2014.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | status unclear; has been handicapped by the impact of... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2024.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1987 - first and only Syrian astronaut into space as... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1987.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
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 | Abdallah Azzam Brigades; Ansar al-Islam; Asa’ib Ahl... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.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 | YK |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 42.0 |
country_code |
Country code | string | SEL | 0% | 1 | SYR |
country_name |
Country name | string | SEL | 0% | 1 | Syria |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 42 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 13 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 13.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 2,052 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 2052.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 1,801 km (2014) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 1801.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 251 km (2014) 1.050-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 251.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 24 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 24.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 1, container ship 1, general cargo 8, oil... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 3 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 3.0 |
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 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 0 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 0.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Al Ladhiqiyah, Baniyas, Tartus |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/sy.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SYR, SYR, SYR, SYR, SYR |
gns_language_code |
gns_language_code | string | CCL | 0% | 8 | ara, kur, tur, eng, heb |
gns_language_name |
gns_language_name | string | CCL | 0% | 8 | Arabic, Kurdish, Turkish, English, Hebrew |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 8 | 81570, 819, 219, 137, 40 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 8 | 98.5181, 0.9892, 0.2645, 0.1655, 0.0483 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 5 | 38872, 427, 0, 0, 19 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | Arab, Arab, , , Hebr |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | Arabic, Arabic, , , Hebrew |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 1, 1, 0, 0, 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SYR |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Syria |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 8 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9796 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 39433 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 108045 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 38902 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 108023 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 22 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 42573 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 11421 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 19002 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 7608 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 7831 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 3597 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 11812 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 4743 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 18263 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 7661 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 4879 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 2326 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 2600 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1197 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1085 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 349 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SYR, SYR, SYR, SYR, SYR |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 5 | Sunni Arabs, Alawi, Christians, Kurds, Druze |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | POWERLESS, DOMINANT, POWERLESS, SELF-EXCLUSION, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 5 | 0.65, 0.13, 0.1, 0.08, 0.03 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 5 | 65202000, 65203000, 65204000, 65206000, 65201000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | false, false, false, true, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SYR |
society_id |
Society id | string | CCL | 0% | 1 | Cj2 |
society_name |
Society name | string | CCL | 0% | 1 | Rwala |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | east2690 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:1; EA002:1; EA003:0; EA004:8; EA005:0 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:1; EA007:8; EA008:5; EA009:5; EA010:8 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:1; EA029:1; EA030:1; EA031:NA; EA032:3 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:2; EA034:4; EA035:2 |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:4; EA112:7 |
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 | Syria |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | 33.0 |
longitude |
longitude | float | 0% | 1 | 37.0 |
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 | SYR |
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 | 6 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 9 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 9 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 7 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 7.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 7.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 151 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 2.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 2.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 11 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 7.7 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 7.63 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 32 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.43 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 6.05 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 3 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 9 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 9 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 19 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 7.07 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 6.84 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 111 |
| +74 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) | 81,570 | 98.5% | Arabic |
| Kurdish (kur) | 819 | 1.0% | Arabic |
| Turkish (tur) | 219 | 0.3% | — |
| English (eng) | 137 | 0.2% | — |
38,902 distinct features ·
8 languages ·
2 scripts ·
39,433 names in non-Roman script ·
22 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 |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| Ethnic Power Relations Dataset | 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.