| 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_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 | 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_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 | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | 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_financial_crimes |
oc_financial_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_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | 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_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | 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_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 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 |
| 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.
| 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.