ⓘ 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 | IRQ, IRQ, IRQ, IRQ, IRQ |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 19 | Total, Anbar, Babylon, Baghdad, Basra |
human_development_index |
Human development index | float | SEL | 0% | 66 | 0.55, 0.6, 0.529, 0.582, 0.563 |
health_index |
Health index | float | SEL | 0% | 68 | 0.578, 0.63, 0.522, 0.598, 0.582 |
education_index |
Education index | float | SEL | 0% | 79 | 0.407, 0.463, 0.414, 0.449, 0.451 |
income_index |
Income index | float | SEL | 0% | 76 | 0.707, 0.742, 0.684, 0.736, 0.681 |
life_expectancy |
Life expectancy | float | SEL | 0% | 96 | 57.59, 60.94, 53.9, 58.86, 57.84 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 93 | 6.107, 7.133, 6.56, 6.95, 7.112 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 6 | 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 | IQ, IQ, IQ, IQ, IQ |
population_count |
Population count | float | SEL | 2% | 65 | 7022052.0, 7194553.0, 7413875.0, 7667928.0, 7929566.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 51.462, 52.339, 53.482, 54.36, 55.245 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 218.917802531101, 232.392612190864, 240.653442461626,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 91% | 6 | 74.0500030517578, 77.1999969482422, 82.1999969482422,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 190.1, 179.2, 169.3, 159.9, 151.4 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 22.4, 18.9, 17.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Iraq, Iraq, Iraq, Iraq, Iraq |
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 | IQ, IQ, IQ, IQ, IQ |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 51.462, 52.339, 53.482, 54.36, 55.245 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 38% | 41 | 29.8, 29.2, 28.6, 28.0, 27.5 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 190.1, 179.2, 169.3, 159.9, 151.4 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 152.0, 147.0, 145.0, 174.0, 190.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 5.3, 5.8, 6.991, 7.005, 7.01 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 36.703, 40.045, 47.89, 47.487, 47.082 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 14.537, 14.36, 14.504, 14.356, 13.937 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 64% | 23 | 0.195, 0.2, 0.309, 0.563, 0.568 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 74% | 14 | 1.85803997516632, 1.95099997520447, 1.94640004634857,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 29 | 14.0, 13.0, 18.0, 16.0, 67.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 68% | 21 | 2.99693608, 3.90128636, 3.01704645, 2.49370432, 3.2148056 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Iraq, Iraq, Iraq, Iraq, Iraq |
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 | IRQ |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Republic of Iraq |
admin_code |
Admin code | string | SEL | 0% | 1 | 29142881B16293130596888 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 437370.9929 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 42074393 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 96.2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IRQ, IRQ, IRQ, IRQ, IRQ |
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% | 18 | Baghdad, Babil, Ninawa, Erbil, Diyala |
admin_code |
Admin code | string | SEL | 0% | 18 | 90741666B78865175105083, 90741666B44177402341950,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 18 | 912.3678, 7952.9232, 37126.2483, 13585.5204, 19967.256 |
pop_2024 |
Population count | integer | SEL | 0% | 18 | 4578953, 4298076, 3728796, 3609794, 2992439 |
pop_density_2024 |
Population density | float | SEL | 0% | 18 | 5018.76, 540.44, 100.44, 265.71, 149.87 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IRQ, IRQ, IRQ, IRQ, IRQ |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 86 | Baghdad, Erbil, Kirkuk, Basra, Mosul |
admin_code |
Admin code | integer | SEL | 0% | 86 | 3307, 2448, 2839, 5201, 1530 |
area_sqkm |
Area sqkm | float | SEL | 0% | 85 | 686.175, 225.5429, 116.7428, 187.3883, 152.6922 |
pop_2024 |
Population count | integer | SEL | 0% | 86 | 5143815, 1552696, 1124423, 1012705, 902022 |
pop_density_2024 |
Population density | float | SEL | 0% | 86 | 7496.36, 6884.26, 9631.63, 5404.31, 5907.45 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 86 | 6891722, 1514144, 1238662, 2131556, 1678253 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 83 | 0.746, 1.025, 0.908, 0.475, 0.537 |
| 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 |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 86 | Baghdad, Basra, Mosul, Erbil, Al-Najaf |
country_code |
Country code | string | SEL | 0% | 1 | IRQ, IRQ, IRQ, IRQ, IRQ |
population |
Population count | integer | SEL | 0% | 86 | 6891722, 2131556, 1678253, 1514144, 1361936 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 86 | 3307, 5201, 1530, 2448, 4034 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Iraq, Iraq, Iraq, Iraq, Iraq |
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% | 31 | akka1240, assy1241, baje1238, cent1972, chal1275 |
name |
Name | string | CCL | 0% | 31 | Akkadian, Assyrian Neo-Aramaic, Bajelani, Central... |
iso639_3 |
Iso639 3 | string | CCL | 13% | 27 | akk, aii, bjm, ckb, cld |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 3% | 6 | afro1255, afro1255, indo1319, indo1319, afro1255 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 3% | 22 | east2678, nort3241, shab1250, kurd1259, nort3241 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 18 | ['IQ'], ['IQ', 'IR', 'SY', 'TR'], ['IQ', 'IR'], ['IQ',... |
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% | 17 | 11, 31, 0, 13, 16 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 7% | 29 | 33.1, 36.75, 33.9498, 35.6539, 37.0972 |
longitude |
longitude | float | 7% | 28 | 44.1, 43.0, 42.9867, 45.8077, 43.5027 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | IQ |
region_name |
Region name | string | SEL | 0% | 1 | Iraq |
F_TL |
Female population | integer | SEL | 0% | 1 | 20380179 |
M_TL |
Male population | integer | SEL | 0% | 1 | 20810479 |
T_TL |
Total population | integer | SEL | 0% | 1 | 41190658 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | string | 100% | - | - |
year |
year | integer | 0% | 1 | 2021 |
ADM0_NAME |
ADM0_NAME | string | 0% | 1 | Iraq |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 2941036 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 2725741 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 2415762 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 2145237 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 1830376 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 1512480 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 1401709 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 1224044 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 1109441 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 833121 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 594087 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 567550 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 408222 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 256125 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 161417 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 101806 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 152025 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 3102589 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 2895522 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 2587746 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 2270496 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 1983301 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 1555562 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 1362110 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 1161001 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 1094813 |
| +133 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 18 | IQG01, IQG02, IQG03, IQG04, IQG05 |
region_name |
Region name | string | SEL | 0% | 18 | Al-Anbar, Al-Basrah, Al-Muthanna, Al-Najaf, Al-Qadissiya |
F_TL |
Female population | integer | SEL | 0% | 18 | 930779, 1563791, 437730, 792788, 691841 |
M_TL |
Male population | integer | SEL | 0% | 18 | 983386, 1578658, 442144, 797173, 703044 |
T_TL |
Total population | integer | SEL | 0% | 18 | 1914165, 3142449, 879874, 1589961, 1394885 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | string | 100% | - | - |
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
ADM0_NAME |
ADM0_NAME | string | 0% | 1 | Iraq, Iraq, Iraq, Iraq, Iraq |
ADM1_NAME |
ADM1_NAME | string | 0% | 18 | Al-Anbar, Al-Basrah, Al-Muthanna, Al-Najaf, Al-Qadissiya |
ADM1_AR |
ADM1_AR | string | 0% | 18 | الانبار, البصرة, المثنى, النجف, القادسية |
F_00_04 |
Female population age 0-4 | integer | 0% | 18 | 149063, 245993, 67276, 118993, 105196 |
F_05_09 |
Female population age 5-9 | integer | 0% | 18 | 121979, 235552, 62744, 109466, 100489 |
F_10_14 |
Female population age 10-14 | integer | 0% | 18 | 115474, 185886, 54489, 96381, 85709 |
F_15_19 |
Female population age 15-19 | integer | 0% | 18 | 108931, 162625, 53185, 88350, 73956 |
F_20_24 |
Female population age 20-24 | integer | 0% | 18 | 87320, 133157, 38733, 70604, 59814 |
F_25_29 |
Female population age 25-29 | integer | 0% | 18 | 67968, 112311, 29649, 54091, 48911 |
F_30_34 |
Female population age 30-34 | integer | 0% | 18 | 61730, 106396, 28399, 53220, 45453 |
F_35_39 |
Female population age 35-39 | integer | 0% | 18 | 51818, 91706, 24386, 44653, 38394 |
F_40_44 |
Female population age 40-44 | integer | 0% | 18 | 47448, 74567, 21024, 43038, 38380 |
F_45_49 |
Female population age 45-49 | integer | 0% | 18 | 35188, 57543, 14464, 33339, 25505 |
F_50_54 |
Female population age 50-54 | integer | 0% | 18 | 24264, 41870, 10121, 20118, 16089 |
F_55_59 |
Female population age 55-59 | integer | 0% | 18 | 22088, 41182, 10447, 20721, 17390 |
F_60_64 |
Female population age 60-64 | integer | 0% | 18 | 16113, 26912, 8856, 14484, 13955 |
F_65_69 |
Female population age 65-69 | integer | 0% | 18 | 8135, 18504, 3990, 9160, 8140 |
F_70_74 |
Female population age 70-74 | integer | 0% | 18 | 5571, 11619, 2880, 5630, 4681 |
F_75_79 |
Female population age 75-79 | integer | 0% | 18 | 3016, 7186, 1950, 4088, 3645 |
F_80Plus |
F_80Plus | integer | 0% | 18 | 4673, 10782, 5137, 6452, 6134 |
M_00_04 |
Male population age 0-4 | integer | 0% | 18 | 156549, 257795, 71044, 123316, 110141 |
M_05_09 |
Male population age 5-9 | integer | 0% | 18 | 138673, 237046, 65412, 115473, 106455 |
M_10_14 |
Male population age 10-14 | integer | 0% | 18 | 126821, 198168, 58050, 100089, 91490 |
M_15_19 |
Male population age 15-19 | integer | 0% | 18 | 117338, 165738, 52646, 89608, 75871 |
M_20_24 |
Male population age 20-24 | integer | 0% | 18 | 100504, 135531, 41789, 72215, 65462 |
M_25_29 |
Male population age 25-29 | integer | 0% | 18 | 73369, 112752, 30049, 59196, 49375 |
M_30_34 |
Male population age 30-34 | integer | 0% | 18 | 60749, 104324, 27387, 50879, 45460 |
| +135 more pending fields — download the CSV/Parquet to see them all. | |||||
| 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 | 4.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 100.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .iq |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 82.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 17.0 |
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 | 1.977 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1.977 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 4 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 46.1 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 46.1 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 100 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | the number of private radio and TV stations has... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2003.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 82% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 7.77 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 7.77 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 17 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/iz.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 | 12700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 279.641 |
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 | highly oil-dependent Middle Eastern economy; fiscal... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $585.887 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 | 585.887 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $595.082 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 | 595.082 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $592.017 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 | 592.017 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | -1.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | -1.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 0.5% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 0.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 8% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 8.0 |
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 | $12,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $13,200 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 13200.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $13,400 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 13400.0 |
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 | $279.641 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 4.4% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 4.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 5% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 5.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 6% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 6.0 |
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 | 3.4% (2024 est.) |
| +121 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 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 31.339 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 31.339 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 73.521 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 73.521 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 3.134 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 3.134 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 79.904 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 79.904 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 98.8% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 98.8 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.3% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.3 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 0.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 0.9 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 3,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 3000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 4.448 million bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 4.448 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 1.043 million bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 1.043 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 145.019 billion barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 145.019 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 10.537 billion cubic meters (2023 est.) |
natural_gas_production_numeric |
natural_gas_production_numeric | float | 0% | 1 | 10.537 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 19.308 billion cubic meters (2023 est.) |
natural_gas_consumption_numeric |
natural_gas_consumption_numeric | float | 0% | 1 | 19.308 |
natural_gas_imports_text |
natural_gas_imports_text | string | 0% | 1 | 8.771 billion cubic meters (2023 est.) |
natural_gas_imports_numeric |
natural_gas_imports_numeric | float | 0% | 1 | 8.771 |
natural_gas_proven_reserves_text |
natural_gas_proven_reserves_text | string | 0% | 1 | 3.729 trillion 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 | 21.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 1.6 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 71.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.91 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 13.14 |
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 | habitat loss from wetland draining; inadequate potable... |
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, Environmental Modification |
climate_text |
climate_text | string | 0% | 1 | mostly desert; mild to cool winters with dry, hot,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 21.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.2% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.2 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 9.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 9.2 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 1.6% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 76.5% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 76.5 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 71.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.91% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 190.815 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 190.815 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 7,000 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 | 7000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 152.931 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 | 152.931 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 37.878 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 | 37.878 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 45.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 45.4 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 2,243 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 2243.0 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 157 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 157.0 |
| +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 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 | Iraqi(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Iraqi |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Arab 75-80%, Kurdish 15-20%, other 5% (includes Turkmen,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 75.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/iz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 438317.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 437367.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 950.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 3809.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 58.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3611.0 |
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 | 21.8 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 1.6 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 35250.0 |
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 Persian Gulf, between Iran and Kuwait |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 33 00 N, 44 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 33.0 |
map_references_text |
map_references_text | string | 0% | 1 | Middle East |
area_total_text |
area_total_text | string | 0% | 1 | 438,317 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 437,367 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 950 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly more than three times the size of New York State |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 3,809 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Iran 1,599 km; Jordan 179 km; Kuwait 254 km; Saudi... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1599.0 |
coastline_text |
coastline_text | string | 0% | 1 | 58 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_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | not specified |
climate_text |
climate_text | string | 0% | 1 | mostly desert; mild to cool winters with dry, hot,... |
terrain_text |
terrain_text | string | 0% | 1 | mostly broad plains; reedy marshes along Iranian border... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Cheekha Dar (Kurdish for "Black Tent") 3,611 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Persian Gulf 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 312 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 312.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, natural gas, phosphates, sulfur |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 21.8% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.2% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.2 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 9.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 9.2 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 1.6% (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 | IRQ |
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 Iraq |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Iraq |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Jumhuriyat al-Iraq/Komar-i Eraq |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Al Iraq/Eraq |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Mesopotamia, Mandatory Iraq, Hashemite Kingdom of Iraq |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name probably derives from Uruk ("Erech" in... |
government_type_text |
government_type_text | string | 0% | 1 | federal parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Baghdad |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 33 20 N, 44 24 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 origin of the name is unclear; it may mean "gift of... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 19 governorates (muhafazat, singular - muhafazah... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 19.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of civil and Islamic law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted by referendum 15 October 2005 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 15.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic and the... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Iraq |
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 | President Latif RASHID (since 13 October 2022) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 13.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Mohammed Shia al-SUDANI (since 27 October 2022) |
| +69 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 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Formerly part of the Ottoman Empire, Iraq was occupied... |
background_numeric |
background_numeric | float | 0% | 1 | 1920.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/iz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 (official); Turkmen (a... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | كتاب حقائق العالم، أحسن مصدر للمعلومات الأساسية... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/iz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 | 335,343 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 335343.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 1,201,813 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 1201813.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 233 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 233.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/iz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 | Ministry of Defense: Iraqi Army, Iraqi Navy, Iraqi Air... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 2.5% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 2.5 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 2.5% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.5 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.8% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.8 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 3.0 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 3.2% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 3.2 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 200,000 active armed forces personnel under... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 200000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Iraqi military's inventory includes a mix of... |
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 | 18 years of age for voluntary military service; no... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Iraqi Security Forces (ISF) are primarily focused on... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2018.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/iz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 42917742.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 21614894.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 21302848.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 34.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 61.7 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.6 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 60.5 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 54.6 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.9 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 22.7 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.94 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 23.26 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 3.86 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 71.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.91 |
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 | 66.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 18.3 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 73.7 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.03 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.48 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.02 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.3 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 84.1 |
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 | 42,917,742 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 21,614,894 |
population_female_text |
population_female_text | string | 0% | 1 | 21,302,848 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 34.6% (male 7,447,266/female 7,130,883) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 61.7% (male 13,064,516/female 12,907,702) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.6% (2024 est.) (male 681,574/female 851,495) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 60.5 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 54.6 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.9 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 16.9 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 16.9 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 22.7 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 22 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 22.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 22.7 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 22.7 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.94% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 23.26 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 3.86 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population is concentrated in the north, center, and... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 71.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.91% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 7.711 million BAGHDAD (capital), 1.792 million Mosul,... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 7.711 |
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 | 1.01 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.01 |
| +81 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 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 1.0 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 2.5 |
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 (official) 95-98% (Shia 61-64%, Sunni 29-34%),... |
religions_numeric |
religions_numeric | float | 0% | 1 | 95.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/iz.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_muslim_official_pct_synth |
Muslim (official) | numeric | 0% | - | 96.5 |
composition_religion_muslim_official__shia_pct_synth |
Shia | numeric | 0% | - | 62.5 |
composition_religion_muslim_official__sunni_pct_synth |
Sunni | numeric | 0% | - | 31.5 |
composition_ethnicity_arab_pct_synth |
Arab | numeric | 0% | - | 77.5 |
composition_ethnicity_kurdish_pct_synth |
Kurdish | numeric | 0% | - | 17.5 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 5.0 |
composition_ethnicity_primary_share_pct_synth |
Arab | numeric | 0% | - | 77.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
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 | Ansar al-Islam; Asa'ib Ahl al-Haq; Islamic Revolutionary... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/iz.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 | YI |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 73.0 |
country_code |
Country code | string | SEL | 0% | 1 | IRQ |
country_name |
Country name | string | SEL | 0% | 1 | Iraq |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 73 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 10 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 10.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 2,272 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 2272.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 2,272 km (2014) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 2272.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 74 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 74.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 1, oil tanker 6, other 67 |
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 | 6 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 6.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 4 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 4.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Al Basrah, Al-Basra Oil Terminal, Khawr Al Amaya, Khawr... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/iz.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IRQ, IRQ, IRQ, IRQ, IRQ |
gns_language_code |
gns_language_code | string | CCL | 0% | 6 | ara, kur, fas, eng, tur |
gns_language_name |
gns_language_name | string | CCL | 0% | 6 | Arabic, Kurdish, Persian, English, Turkish |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 6 | 107123, 16704, 1330, 107, 30 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 6 | 85.4953, 13.3315, 1.0615, 0.0854, 0.0239 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 4 | 50687, 8316, 652, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 2 | Arab, Arab, Arab, , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | Arabic, Arabic, Arabic, , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 3 | 1, 2, 1, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | IRQ |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Iraq |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 6 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 2 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9843 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 60643 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 152664 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 54611 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 152640 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 24 |
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 | 77413 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 23205 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 10219 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 4251 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 21133 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 8329 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 30118 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 14089 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 10920 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3845 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 1231 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 206 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 1004 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 435 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 624 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 250 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 2 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | IRQ, IRQ, IRQ, IRQ, IRQ |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 6 | Shi'a Arabs, Sunni Arabs, Kurds, Turkmen, Yezidis |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | SENIOR PARTNER, JUNIOR PARTNER, JUNIOR PARTNER,... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 5 | 0.625, 0.185, 0.16, 0.01, 0.01 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 6 | 64502000, 64503000, 64501000, 64505000, 64506000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | false, false, true, false, 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 | IRQ, IRQ, IRQ |
society_id |
Society id | string | CCL | 0% | 3 | Ci11, Cj10, Cj4 |
society_name |
Society name | string | CCL | 0% | 3 | Kurd, Madan, Babylonians |
language_glottocode |
Language glottocode | string | CCL | 0% | 3 | cent1972, meso1252, akka1240 |
language_name |
Language name | string | CCL | 0% | 1 | , , |
kinship_system |
Kinship system | string | CCL | 0% | 3 | EA001:0; EA002:0; EA003:1; EA004:4; EA005:5, EA001:2;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 3 | EA006:1; EA007:8; EA008:2; EA009:2; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 3 | EA028:6; EA029:6; EA030:3; EA031:NA; EA032:3, EA028:6;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA033:3; EA034:4; EA035:NA, EA033:NA; EA034:4; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 3 | EA034:4; EA112:5, EA034:4; EA112:6, EA034:1; EA112:6 |
residence_pattern |
Residence pattern | string | CCL | 0% | 2 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Iraq, Iraq, Iraq |
dataset |
dataset | string | 0% | 1 | EA, EA, EA |
region |
region | string | 0% | 1 | , , |
latitude |
latitude | float | 0% | 2 | 32.0, 31.0, 32.0 |
longitude |
longitude | float | 0% | 3 | 44.0, 47.0, 45.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, 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 | IRQ |
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 | 122 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 4 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 4 |
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 | 76 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 5.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 6 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 111 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 8 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | integer | 0% | 1 | 8 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 7.75 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 28 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.27 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 6.35 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 7 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | float | 0% | 1 | 8.5 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | float | 0% | 1 | 7.5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 12 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 7.13 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 7.05 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 134 |
| +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 | IRQ |
| 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) | 107,123 | 85.5% | Arabic |
| Kurdish (kur) | 16,704 | 13.3% | Arabic +1 |
| Persian (fas) | 1,330 | 1.1% | Arabic |
| English (eng) | 107 | 0.1% | — |
54,611 distinct features ·
6 languages ·
2 scripts ·
60,643 names in non-Roman script ·
24 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 |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Values Survey | academic | metadata_catalog |
| Ethnic Power Relations Dataset | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.