ⓘ 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 | TUN, TUN, TUN, TUN, TUN |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 8 | Total, Centre Est (Sousse, Monastir, Mahdia, Sfax),... |
human_development_index |
Human development index | float | SEL | 0% | 80 | 0.638, 0.643, 0.561, 0.685, 0.638 |
health_index |
Health index | float | SEL | 0% | 69 | 0.755, 0.746, 0.707, 0.774, 0.734 |
education_index |
Education index | float | SEL | 0% | 91 | 0.546, 0.56, 0.435, 0.629, 0.553 |
income_index |
Income index | float | SEL | 0% | 68 | 0.629, 0.637, 0.574, 0.66, 0.64 |
life_expectancy |
Life expectancy | float | SEL | 0% | 95 | 69.09, 68.47, 65.98, 70.29, 67.73 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 8.196, 8.643, 5.758, 10.01, 8.112 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 13 | 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 | TN, TN, TN, TN, TN |
population_count |
Population count | float | SEL | 2% | 65 | 4267288.0, 4316278.0, 4369136.0, 4427131.0, 4489869.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 44.049, 44.257, 45.562, 46.412, 47.272 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 3% | 64 | 200.671835449762, 201.419166932165, 231.91940785127,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 82% | 12 | 48.189998626709, 74.3000030517578, 77.1900024414062,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 6% | 61 | 272.4, 259.9, 247.8, 235.9, 224.4 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 92% | 5 | 25.4, 23.1, 20.5, 15.2, 16.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Tunisia, Tunisia, Tunisia, Tunisia, Tunisia |
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 | TN, TN, TN, TN, TN |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 44.049, 44.257, 45.562, 46.412, 47.272 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 11% | 53 | 52.1, 51.3, 50.5, 49.7, 49.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 6% | 61 | 272.4, 259.9, 247.8, 235.9, 224.4 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 33 | 132.0, 121.0, 107.0, 96.0, 87.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 7.157, 7.159, 7.168, 7.17, 7.166 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.744, 47.714, 47.711, 47.593, 47.395 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 22.146, 21.891, 20.958, 20.292, 19.619 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 50% | 31 | 0.1, 0.125, 0.169, 0.169, 0.271 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 50% | 22 | 2.4676616191864, 2.44429993629456, 2.5,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 13 | 62.0, 66.0, 70.0, 72.0, 84.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.81271935, 4.86132765, 5.12036419, 5.20888519, 5.19890785 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Tunisia, Tunisia, Tunisia, Tunisia, Tunisia |
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 | TUN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Tunisia |
admin_code |
Admin code | string | SEL | 0% | 1 | 74400859B135783422298 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 155228.6517 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 11977961 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 77.16 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN, TUN, TUN, TUN, TUN |
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% | 24 | Tunis, Sfax, Nabeul, Sousse, Ben Arous |
admin_code |
Admin code | string | SEL | 0% | 24 | 13205935B88806172084765, 13205935B27259873852948,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 24 | 287.5299, 7016.6999, 2828.7099, 2613.6268, 662.2647 |
pop_2024 |
Population count | integer | SEL | 0% | 24 | 1125488, 1035074, 878103, 744702, 707968 |
pop_density_2024 |
Population density | float | SEL | 0% | 24 | 3914.33, 147.52, 310.43, 284.93, 1069.01 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN, TUN, TUN, TUN, TUN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 24 | Tunis, Sfax, Sousse, Hammamet, Gabes |
admin_code |
Admin code | integer | SEL | 0% | 24 | 1399, 2117, 1783, 1691, 1596 |
area_sqkm |
Area sqkm | float | SEL | 0% | 23 | 487.071, 181.5701, 123.737, 79.8408, 60.8447 |
pop_2024 |
Population count | integer | SEL | 0% | 24 | 2465408, 594602, 443228, 206416, 169641 |
pop_density_2024 |
Population density | float | SEL | 0% | 24 | 5061.7, 3274.78, 3582.02, 2585.34, 2788.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 24 | 2790169, 649272, 537190, 236818, 177608 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 23 | 0.884, 0.916, 0.825, 0.872, 0.955 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | TN |
region_name |
Region name | string | SEL | 0% | 1 | Tunisia |
F_TL |
Female population | integer | SEL | 0% | 1 | 5981085 |
M_TL |
Male population | integer | SEL | 0% | 1 | 5870920 |
T_TL |
Total population | integer | SEL | 0% | 1 | 11852020 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2020 |
year |
year | integer | 0% | 1 | 2020 |
ADM0_AR |
ADM0_AR | string | 0% | 1 | تونس |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 545739 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 484612 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 414359 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 381438 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 396429 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 457478 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 481422 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 506665 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 433286 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 372561 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 348969 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 325606 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 267701 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 210645 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 131935 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 97305 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 124753 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 576083 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 533073 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 456220 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 411458 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 405105 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 425202 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 412548 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 455868 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 404200 |
| +25 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% | 6 | TN1, TN2, TN3, TN4, TN5 |
region_name |
Region name | string | SEL | 0% | 6 | North East, North West, Centre East, Centre West, South East |
F_TL |
Female population | integer | SEL | 0% | 6 | 2303520, 585955, 1445095, 769093, 553530 |
M_TL |
Male population | integer | SEL | 0% | 6 | 2305743, 564628, 1424587, 745291, 519745 |
T_TL |
Total population | integer | SEL | 0% | 6 | 4609267, 1150586, 2869685, 1514386, 1073276 |
| 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 | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
year |
year | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
ADM0_AR |
ADM0_AR | string | 0% | 1 | تونس, تونس, تونس, تونس, تونس |
ADM1_AR |
ADM1_AR | string | 0% | 6 | الشمال الشرقي, الشمال الغربي, الوسط الشرقي, الوسط... |
F_00_04 |
Female population age 0-4 | integer | 0% | 6 | 204841, 45768, 135466, 76977, 51129 |
F_05_09 |
Female population age 5-9 | integer | 0% | 6 | 177324, 43619, 124048, 67728, 45182 |
F_10_14 |
Female population age 10-14 | integer | 0% | 6 | 149171, 39946, 105057, 59835, 37789 |
F_15_19 |
Female population age 15-19 | integer | 0% | 6 | 133154, 38625, 95577, 55907, 37146 |
F_20_24 |
Female population age 20-24 | integer | 0% | 6 | 144573, 33694, 103221, 54220, 38888 |
F_25_29 |
Female population age 25-29 | integer | 0% | 6 | 178902, 36157, 112941, 57996, 45177 |
F_30_34 |
Female population age 30-34 | integer | 0% | 6 | 195827, 39753, 112913, 59073, 46414 |
F_35_39 |
Female population age 35-39 | integer | 0% | 6 | 198587, 47067, 120055, 64587, 48569 |
F_40_44 |
Female population age 40-44 | integer | 0% | 6 | 173122, 41744, 102669, 53031, 39278 |
F_45_49 |
Female population age 45-49 | integer | 0% | 6 | 150045, 40725, 85225, 43767, 32750 |
F_50_54 |
Female population age 50-54 | integer | 0% | 6 | 143924, 36353, 82234, 39424, 29079 |
F_55_59 |
Female population age 55-59 | integer | 0% | 6 | 131769, 37467, 75880, 36613, 27574 |
F_60_64 |
Female population age 60-64 | integer | 0% | 6 | 108373, 31887, 60411, 32654, 21512 |
F_65_69 |
Female population age 65-69 | integer | 0% | 6 | 85432, 26490, 48401, 21984, 18495 |
F_70_74 |
Female population age 70-74 | integer | 0% | 6 | 51018, 16028, 30041, 16246, 12337 |
F_75_79 |
Female population age 75-79 | integer | 0% | 6 | 34188, 13266, 22000, 13147, 9299 |
F_80Plus |
F_80Plus | integer | 0% | 6 | 43216, 17336, 28923, 15883, 12889 |
M_00_04 |
Male population age 0-4 | integer | 0% | 6 | 215919, 49143, 144421, 80380, 53345 |
M_05_09 |
Male population age 5-9 | integer | 0% | 6 | 194983, 48308, 138277, 73900, 49013 |
M_10_14 |
Male population age 10-14 | integer | 0% | 6 | 165059, 44925, 115227, 64783, 42239 |
M_15_19 |
Male population age 15-19 | integer | 0% | 6 | 145958, 40787, 103616, 60398, 39081 |
M_20_24 |
Male population age 20-24 | integer | 0% | 6 | 150779, 34407, 107031, 54768, 36531 |
M_25_29 |
Male population age 25-29 | integer | 0% | 6 | 172057, 34332, 105099, 53116, 37351 |
M_30_34 |
Male population age 30-34 | integer | 0% | 6 | 174186, 33502, 96728, 49859, 34412 |
M_35_39 |
Male population age 35-39 | integer | 0% | 6 | 187531, 40672, 107753, 56961, 38728 |
| +26 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% | 24 | TN11, TN12, TN13, TN14, TN15 |
region_name |
Region name | string | SEL | 0% | 24 | Tunis, Ariana, Ben Arous, Manubah, Nabeul |
F_TL |
Female population | integer | SEL | 0% | 24 | 562346, 343293, 365316, 206106, 428742 |
M_TL |
Male population | integer | SEL | 0% | 24 | 555474, 348357, 362720, 208126, 433755 |
T_TL |
Total population | integer | SEL | 0% | 24 | 1117821, 691650, 728037, 414233, 862497 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
year |
year | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
ADM0_AR |
ADM0_AR | string | 0% | 1 | تونس, تونس, تونس, تونس, تونس |
ADM1_AR |
ADM1_AR | string | 0% | 6 | الشمال الشرقي, الشمال الشرقي, الشمال الشرقي, الشمال... |
ADM2_AR |
ADM2_AR | string | 0% | 24 | تونس, أريانة, بن عروس, منوبة, نابل |
F_00_04 |
Female population age 0-4 | integer | 0% | 24 | 43353, 33630, 33627, 18375, 40322 |
F_05_09 |
Female population age 5-9 | integer | 0% | 24 | 38228, 27917, 28195, 15878, 35909 |
F_10_14 |
Female population age 10-14 | integer | 0% | 24 | 32562, 22349, 24228, 13374, 30213 |
F_15_19 |
Female population age 15-19 | integer | 0% | 24 | 29763, 18847, 21471, 12038, 26117 |
F_20_24 |
Female population age 20-24 | integer | 0% | 24 | 35893, 21835, 22572, 12750, 26620 |
F_25_29 |
Female population age 25-29 | integer | 0% | 24 | 44482, 29185, 28911, 16126, 31165 |
F_30_34 |
Female population age 30-34 | integer | 0% | 24 | 49076, 32296, 31452, 17571, 34578 |
F_35_39 |
Female population age 35-39 | integer | 0% | 24 | 48049, 31515, 31914, 18011, 36206 |
F_40_44 |
Female population age 40-44 | integer | 0% | 24 | 42373, 25229, 27989, 15261, 32668 |
F_45_49 |
Female population age 45-49 | integer | 0% | 24 | 36808, 20880, 25406, 13472, 27215 |
F_50_54 |
Female population age 50-54 | integer | 0% | 24 | 37232, 20665, 23924, 13468, 24926 |
F_55_59 |
Female population age 55-59 | integer | 0% | 24 | 34385, 18155, 21081, 12284, 22855 |
F_60_64 |
Female population age 60-64 | integer | 0% | 24 | 29127, 15402, 16038, 9842, 19078 |
F_65_69 |
Female population age 65-69 | integer | 0% | 24 | 24367, 11006, 11558, 7059, 15756 |
F_70_74 |
Female population age 70-74 | integer | 0% | 24 | 14574, 6282, 6631, 3951, 10091 |
F_75_79 |
Female population age 75-79 | integer | 0% | 24 | 10084, 3587, 4762, 2958, 6223 |
F_80Plus |
F_80Plus | integer | 0% | 24 | 11983, 4503, 5551, 3679, 8794 |
M_00_04 |
Male population age 0-4 | integer | 0% | 24 | 46735, 34737, 34137, 19696, 42730 |
M_05_09 |
Male population age 5-9 | integer | 0% | 24 | 42488, 30648, 31215, 17047, 39308 |
M_10_14 |
Male population age 10-14 | integer | 0% | 24 | 35344, 24404, 26806, 14890, 33785 |
M_15_19 |
Male population age 15-19 | integer | 0% | 24 | 33427, 19740, 22917, 13437, 28796 |
M_20_24 |
Male population age 20-24 | integer | 0% | 24 | 37216, 23426, 23661, 14018, 27080 |
M_25_29 |
Male population age 25-29 | integer | 0% | 24 | 44357, 26936, 26094, 15981, 30252 |
M_30_34 |
Male population age 30-34 | integer | 0% | 24 | 44149, 28587, 26866, 16352, 30260 |
| +27 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 24 | Tunis, Sfax, Sousse, Hammamet, Bizerte |
country_code |
Country code | string | SEL | 0% | 1 | TUN, TUN, TUN, TUN, TUN |
population |
Population count | integer | SEL | 0% | 24 | 2790169, 649272, 537190, 236818, 178254 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 24 | 1399, 2117, 1783, 1691, 1075 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Tunisia, Tunisia, Tunisia, Tunisia, Tunisia |
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 |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 15.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 118.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .tn |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 72.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 14.0 |
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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 | 1.863 million (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 1.863 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 15 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 14.4 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 14.4 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 118 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 2 state-owned TV stations; 10 private local TV stations;... |
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 | 72% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1.73 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1.73 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 14 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ts.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 | 53.41 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 16.6 |
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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 | lower middle-income North African economy; drafting... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $156.086 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 | 156.086 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $154.006 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 | 154.006 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $153.945 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 | 153.945 |
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 | 1.4% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 1.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 0% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 0.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 2.7% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 2.7 |
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 | $12,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 12600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $12,700 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 12700.0 |
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 | $53.41 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 7.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 7.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 9.3% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 9.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 8.3% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 8.3 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +119 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 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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_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 | 99.7% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 99.7 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 6.639 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 6.639 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 19.153 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 19.153 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 80 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 80.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 2.576 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 2.576 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 4.629 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 4.629 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 96.1% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 96.1 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 2.3% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 2.3 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 1.6% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 1.6 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 2,000 metric tons (2022 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 2000.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 28 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 28.0 |
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 | 35,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 35000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 104,000 bbl/day (2023 est.) |
| +15 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 | 62.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 4.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 70.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.34 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.7 |
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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 | toxic and hazardous waste disposal; water pollution from... |
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 | Marine Life Conservation |
climate_text |
climate_text | string | 0% | 1 | temperate in north with mild, rainy winters and hot, dry... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 62.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 18.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 18.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 13.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 13.6 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 30.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 30.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 4.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 33.1% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 33.1 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 70.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.34% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 24.645 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 24.645 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 4,000 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 | 4000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 14.249 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 | 14.249 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 10.392 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 | 10.392 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 26.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 26.5 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 88 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 88.0 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 94.5 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 94.5 |
| +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 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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 | Tunisian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Tunisian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Arab 98%, European 1%, Jewish and other 1% |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 98.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ts.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 163610.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 155360.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 8250.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 1495.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 1148.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1544.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -17.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 62.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 4.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 3920.0 |
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Northern Africa, bordering the Mediterranean Sea,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 34 00 N, 9 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 34.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 163,610 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 155,360 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 8,250 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly larger than Georgia |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 1,495 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Algeria 1,034 km; Libya 461 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 1034.0 |
coastline_text |
coastline_text | string | 0% | 1 | 1,148 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 12 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 12.0 |
climate_text |
climate_text | string | 0% | 1 | temperate in north with mild, rainy winters and hot, dry... |
terrain_text |
terrain_text | string | 0% | 1 | mountains in north; hot, dry central plain; semiarid... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Jebel ech Chambi 1,544 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Shatt al Gharsah -17 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 246 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 246.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, phosphates, iron ore, lead, zinc, salt |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 62.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 18.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 18.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 13.6% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 13.6 |
| +12 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 | TUN |
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 Tunisia |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Tunisia |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Al Jumhuriyah at Tunisiyah |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Tunis |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country name derives from the capital city of Tunis |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Tunis |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 36 48 N, 10 11 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 36.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+1 (6 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the origin of the ancient name is unclear; it is... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 24 governorates (wilayat, singular - wilayah); Beja... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 24.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of civil law, based on the French civil... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest draft published by the... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 30.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic or one third... |
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 Tunisia |
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 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal except for active government... |
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 Kais SAIED (since 23 October 2019) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 23.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Sarra ZAAFRANI Zenzri (since 21 March 2025) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 21.0 |
| +84 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 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Many empires have controlled Tunisia, including the... |
background_numeric |
background_numeric | float | 0% | 1 | 12.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ts.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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, one of the languages of commerce),... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | كتاب حقائق العالم، أحسن كتاب تتعلم به المعلومات الأساسية... |
languages_note |
languages_note | string | 0% | 1 | note: despite having no official status, French plays a... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ts.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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 | 12,575 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 12575.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — the government did not demonstrate... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ts.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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 | Tunisian Armed Forces (Forces Armées Tunisiennes, FAT):... |
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 | 2.7% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.7 |
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% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 3.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 35,000 active-duty Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 35000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Tunisian military's inventory consists mostly 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 service for men and women;... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | 840 Central African Republic (MINUSCA) (2025) |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 840.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Tunisian Armed Forces (FAT) are responsible for... |
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 | africa/ts.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 11962995.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 5926741.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 6036254.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 24.4 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 65.2 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 10.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 50.7 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 35.6 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 15.1 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 34.1 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.38 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 11.35 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.4 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -1.16 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 70.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.34 |
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 | 0.98 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 36.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 10.6 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 77.3 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.59 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.77 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.32 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.4 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 86.2 |
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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 | 11,962,995 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 5,926,741 |
population_female_text |
population_female_text | string | 0% | 1 | 6,036,254 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 24.4% (male 1,516,871/female 1,426,522) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 65.2% (male 3,861,731/female 3,990,802) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 10.4% (2024 est.) (male 593,640/female 659,281) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 50.7 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 35.6 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 15.1 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 6.6 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 6.6 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 34.1 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 33.6 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 33.6 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 35.1 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 35.1 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.38% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 11.35 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.4 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -1.16 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the overwhelming majority of the population is located... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 70.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.34% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 2.475 million TUNIS (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 2.475 |
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 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.97 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.97 |
| +91 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 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
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; Sunni) 99%, other (includes Christian,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 99.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ts.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_muslim_official_sunni_pct_synth |
Muslim (official; Sunni) | numeric | 0% | - | 99.0 |
composition_religion_other_includes_christian_jewish_shia_muslim_and_baha_i_pct_synth |
other (includes Christian, Jewish, Shia Muslim, and Baha'i) | numeric | 0% | - | 0.5 |
composition_ethnicity_arab_pct_synth |
Arab | numeric | 0% | - | 98.0 |
composition_ethnicity_european_pct_synth |
European | numeric | 0% | - | 1.0 |
composition_ethnicity_jewish_and_other_pct_synth |
Jewish and other | numeric | 0% | - | 1.0 |
composition_ethnicity_primary_share_pct_synth |
Arab | numeric | 0% | - | 98.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
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-Sharia in Tunisia; Islamic State of Iraq and... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ts.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 | TS |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 14.0 |
country_code |
Country code | string | SEL | 0% | 1 | TUN |
country_name |
Country name | string | SEL | 0% | 1 | Tunisia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 14 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 11 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 11.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 2,173 km (2014) (1,991 in use) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 2173.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 471 km (2014) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 471.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 1,694 km (2014) 1.000-m gauge (65 km electrified) |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 1694.0 |
railways_dual_gauge_text |
railways_dual_gauge_text | string | 0% | 1 | 8 km (2014) 1.435-1.000-m gauge |
railways_dual_gauge_numeric |
railways_dual_gauge_numeric | float | 0% | 1 | 8.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 72 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 72.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | container ship 1, general cargo 8, oil tanker 1, other 62 |
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 | 16 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 16.0 |
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 | 3 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 3.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 7 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 7.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 6 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 6.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 10 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 10.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Ashtart Oil Terminal, Banzart, Didon Terminal, Gabes, La... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ts.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 12 | alge1239, douz1234, ghad1239, ling1242, nafu1238 |
name |
Name | string | CCL | 0% | 12 | Algerian Arabic, Douz Sign Language, Ghadames,... |
iso639_3 |
Iso639 3 | string | CCL | 17% | 10 | arq, gha, pml, jbn, xpu |
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% | 3 | afro1255, sign1238, afro1255, pidg1258, afro1255 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 10 | magh1239, deaf1237, berb1260, roma1335, berb1260 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 6 | ['DZ', 'MA', 'TN'], ['TN'], ['DZ', 'LY', 'TN'], ['TN'],... |
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% | 6 | 3, 0, 2, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 12 | 35.4208, 33.45, 30.1168, 33.8613, 31.93488 |
longitude |
longitude | float | 0% | 12 | 3.23033, 9.01667, 10.0165, 10.8531, 11.78231 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
economic_conditions |
Economic conditions | integer | CCL | 0% | 1 | 1 |
living_conditions |
Living conditions | integer | CCL | 0% | 1 | 1 |
employment_situation |
Employment situation | integer | CCL | 0% | 1 | 1 |
food_insecurity |
Food insecurity | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
women_equal_rights |
Women equal rights | integer | CCL | 0% | 1 | 1 |
women_political_leaders |
Women political leaders | integer | CCL | 0% | 1 | 1 |
women_land_rights |
Women land rights | integer | CCL | 0% | 1 | 1 |
domestic_violence_justified |
Domestic violence justified | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
trust_president |
Trust president | integer | CCL | 0% | 1 | 1 |
trust_parliament |
Trust parliament | integer | CCL | 0% | 1 | 1 |
trust_courts |
Trust courts | integer | CCL | 0% | 1 | 1 |
trust_police |
Trust police | integer | CCL | 0% | 1 | 1 |
trust_army |
Trust army | integer | CCL | 0% | 1 | 1 |
corruption_perception |
Corruption perception | integer | CCL | 0% | 1 | 1 |
democracy_satisfaction |
Democracy satisfaction | integer | CCL | 0% | 1 | 1 |
democracy_preference |
Democracy preference | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
emigration_considered |
Emigration considered | integer | CCL | 0% | 1 | 1 |
immigration_attitude |
Immigration attitude | integer | CCL | 0% | 1 | 1 |
foreign_workers_attitude |
Foreign workers attitude | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
trust_relatives |
Trust relatives | integer | CCL | 0% | 1 | 1 |
trust_neighbors |
Trust neighbors | integer | CCL | 0% | 1 | 1 |
trust_other_ethnic |
Trust other ethnic | integer | CCL | 0% | 1 | 1 |
trust_other_religion |
Trust other religion | integer | CCL | 0% | 1 | 1 |
national_identity_vs_ethnic |
National identity vs ethnic | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | TUN, TUN, TUN |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | fra, ara, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | French, Arabic, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 2884, 2188, 24 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 56.5934, 42.9356, 0.471 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 0, 1101, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 2 | , Arab, |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | , Arabic, |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 0, 1, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | TUN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Tunisia |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 1 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.979 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 1101 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 42766 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 22787 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 42757 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 9 |
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_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 10281 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 5752 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 12273 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 6705 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 8039 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3956 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 1969 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1214 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 4563 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 2116 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 2299 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 299 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 9 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 4 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 7 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 1 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 3326 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 2740 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN, TUN |
society_id |
Society id | string | CCL | 0% | 2 | Cd19, Cd21 |
society_name |
Society name | string | CCL | 0% | 2 | Sahel, Tunisians |
language_glottocode |
Language glottocode | string | CCL | 0% | 2 | sahi1245, tuni1260 |
language_name |
Language name | string | CCL | 0% | 1 | , |
kinship_system |
Kinship system | string | CCL | 0% | 2 | EA001:0; EA002:0; EA003:0; EA004:3; EA005:7, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 2 | EA006:1; EA007:8; EA008:7; EA009:2; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 2 | EA028:5; EA029:4; EA030:7; EA031:7; EA032:3, EA028:5;... |
political_complexity |
Political complexity | string | CCL | 0% | 2 | EA033:4; EA034:4; EA035:NA, EA033:5; EA034:4; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 2 | EA034:4; EA112:NA, EA034:4; EA112:1 |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | 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 | Tunisia, Tunisia |
dataset |
dataset | string | 0% | 1 | EA, EA |
region |
region | string | 0% | 1 | , |
latitude |
latitude | float | 0% | 2 | 35.0, 37.0 |
longitude |
longitude | float | 0% | 2 | 10.94, 10.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | TUN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 1 | Arabs |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 1 | IRRELEVANT |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 1 | 0.98 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 1 | 61601000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021 |
group_relevance |
group_relevance | string | 0% | 1 |
| 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 | TUN |
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 | 47 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 5.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 5.5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 148 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 3 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | float | 0% | 1 | 3.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 13 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 7 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 5 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 111 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 4 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 3 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | integer | 0% | 1 | 2 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 142 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 3.9 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 3.38 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 3.13 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 87 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | integer | 0% | 1 | 5 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.2 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 3.4 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 143 |
| +103 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 | TUN |
| 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 |
|---|---|---|---|
| French (fra) | 2,884 | 56.6% | — |
| Arabic (ara) | 2,188 | 42.9% | Arabic |
| English (eng) | 24 | 0.5% | — |
22,787 distinct features ·
3 languages ·
1 script ·
1,101 names in non-Roman script ·
9 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 |
| Glottolog Language Catalog | academic | 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 |
| Afrobarometer | academic | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| 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 |
| World Bank Open Data | international_organization | api |
| 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.