| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN, SDN, SDN, SDN, SDN |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 16 | Total, Al Gedarif, Al Gezira, Blue Nile, Kassala |
human_development_index |
Human development index | float | SEL | 0% | 82 | 0.501, 0.451, 0.576, 0.384, 0.42 |
health_index |
Health index | float | SEL | 0% | 76 | 0.635, 0.599, 0.681, 0.498, 0.62 |
education_index |
Education index | float | SEL | 0% | 85 | 0.398, 0.338, 0.486, 0.255, 0.264 |
income_index |
Income index | float | SEL | 0% | 81 | 0.497, 0.453, 0.577, 0.444, 0.452 |
life_expectancy |
Life expectancy | float | SEL | 0% | 97 | 61.26, 58.92, 64.25, 52.38, 60.29 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 99 | 5.967, 4.174, 7.358, 2.628, 3.153 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 7 | 2008, 2008, 2008, 2008, 2008 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | SD |
region_name |
Region name | string | SEL | 0% | 1 | Sudan (the) |
F_TL |
Female population | integer | SEL | 0% | 1 | 23757049 |
M_TL |
Male population | integer | SEL | 0% | 1 | 23757480 |
T_TL |
Total population | integer | SEL | 0% | 1 | 47514529 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2024 |
ADM0_AR |
ADM0_AR | string | 0% | 1 | السودان |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 3621634 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 3169357 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 2853401 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 2539533 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 2055672 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 1742641 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 1552997 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 1333732 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 1164006 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 1008331 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 838353 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 641233 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 472341 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 324510 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 208851 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 130091 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 100366 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 3696093 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 3208029 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 2878133 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 2545728 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 2005672 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 1857938 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 1725828 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 1276412 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 993966 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 880465 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 18 | SD15, SD08, SD06, SD05, SD12 |
region_name |
Region name | string | SEL | 0% | 18 | Aj Jazirah, Blue Nile, Central Darfur, East Darfur, Gedaref |
F_TL |
Female population | integer | SEL | 0% | 18 | 2754548, 461013, 628513, 1295396, 1551306 |
M_TL |
Male population | integer | SEL | 0% | 18 | 2583000, 462415, 592112, 1180899, 1449946 |
T_TL |
Total population | integer | SEL | 0% | 18 | 5337548, 923428, 1220625, 2476295, 3001252 |
| 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 | 2024, 2024, 2024, 2024, 2024 |
ADM0_AR |
ADM0_AR | string | 0% | 1 | السودان, السودان, السودان, السودان, السودان |
ADM1_AR |
ADM1_AR | string | 0% | 18 | الجزيرة, النيل الأزرق, وسط دارفور, شرق دارفور, القضارف |
F_00_04 |
Female population age 0-4 | integer | 0% | 18 | 401391, 89833, 117797, 268121, 264452 |
F_05_09 |
Female population age 5-9 | integer | 0% | 18 | 362644, 69558, 91809, 173234, 226677 |
F_10_14 |
Female population age 10-14 | integer | 0% | 18 | 331698, 62218, 80435, 140469, 202123 |
F_15_19 |
Female population age 15-19 | integer | 0% | 18 | 304473, 59354, 68580, 121203, 171725 |
F_20_24 |
Female population age 20-24 | integer | 0% | 18 | 254796, 44121, 51184, 97054, 128287 |
F_25_29 |
Female population age 25-29 | integer | 0% | 18 | 202633, 28987, 42938, 90459, 111027 |
F_30_34 |
Female population age 30-34 | integer | 0% | 18 | 171717, 21880, 37659, 84308, 99074 |
F_35_39 |
Female population age 35-39 | integer | 0% | 18 | 142814, 19700, 31527, 68176, 80263 |
F_40_44 |
Female population age 40-44 | integer | 0% | 18 | 126574, 17923, 26710, 57527, 65792 |
F_45_49 |
Female population age 45-49 | integer | 0% | 18 | 114640, 14145, 22208, 50883, 55082 |
F_50_54 |
Female population age 50-54 | integer | 0% | 18 | 98156, 10814, 17825, 42713, 44920 |
F_55_59 |
Female population age 55-59 | integer | 0% | 18 | 78754, 7917, 13183, 30951, 34472 |
F_60_64 |
Female population age 60-64 | integer | 0% | 18 | 61631, 5888, 9976, 25644, 25825 |
F_65_69 |
Female population age 65-69 | integer | 0% | 18 | 43980, 3906, 6917, 19210, 17674 |
F_70_74 |
Female population age 70-74 | integer | 0% | 18 | 28654, 2286, 4370, 12037, 11247 |
F_75_79 |
Female population age 75-79 | integer | 0% | 18 | 17269, 1393, 2854, 7617, 7036 |
F_80Plus |
F_80Plus | integer | 0% | 18 | 12724, 1090, 2541, 5790, 5630 |
M_00_04 |
Male population age 0-4 | integer | 0% | 18 | 410072, 89938, 119417, 247582, 266288 |
M_05_09 |
Male population age 5-9 | integer | 0% | 18 | 371738, 69615, 93892, 134986, 222945 |
M_10_14 |
Male population age 10-14 | integer | 0% | 18 | 338855, 61941, 80161, 141486, 192914 |
M_15_19 |
Male population age 15-19 | integer | 0% | 18 | 308992, 58320, 67727, 121199, 161824 |
M_20_24 |
Male population age 20-24 | integer | 0% | 18 | 251350, 42941, 48228, 78687, 120009 |
M_25_29 |
Male population age 25-29 | integer | 0% | 18 | 199904, 30080, 42378, 90880, 105017 |
M_30_34 |
Male population age 30-34 | integer | 0% | 18 | 162513, 24185, 37058, 92470, 92031 |
M_35_39 |
Male population age 35-39 | integer | 0% | 18 | 108888, 16842, 24195, 59280, 62759 |
M_40_44 |
Male population age 40-44 | integer | 0% | 18 | 81284, 12895, 16689, 41031, 45189 |
| +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% | 100 | SD15034, SD15035, SD15036, SD15037, SD15031 |
region_name |
Region name | string | SEL | 0% | 99 | Al Hasahisa, Al Kamlin, Al Manaqil, Al Qurashi, Janub Al Jazirah |
F_TL |
Female population | integer | SEL | 0% | 100 | 486599, 332736, 447543, 286953, 435126 |
M_TL |
Male population | integer | SEL | 0% | 100 | 454556, 323503, 414058, 265550, 403060 |
T_TL |
Total population | integer | SEL | 0% | 100 | 941155, 656239, 861601, 552503, 838186 |
| 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 | 2024, 2024, 2024, 2024, 2024 |
ADM0_AR |
ADM0_AR | string | 0% | 1 | السودان, السودان, السودان, السودان, السودان |
ADM1_AR |
ADM1_AR | string | 0% | 11 | الجزيرة, الجزيرة, الجزيرة, الجزيرة, الجزيرة |
ADM2_AR |
ADM2_AR | string | 0% | 99 | الحصاحيصا, الكاملين, المناقل, القرشي, جنوب الجزيرة |
F_00_04 |
Female population age 0-4 | integer | 0% | 99 | 71820, 50357, 66907, 43008, 63817 |
F_05_09 |
Female population age 5-9 | integer | 0% | 99 | 63976, 42967, 58652, 37472, 58297 |
F_10_14 |
Female population age 10-14 | integer | 0% | 100 | 57921, 38994, 54188, 34575, 52494 |
F_15_19 |
Female population age 15-19 | integer | 0% | 100 | 51681, 35742, 52507, 33547, 45969 |
F_20_24 |
Female population age 20-24 | integer | 0% | 100 | 43473, 30095, 43598, 27932, 38762 |
F_25_29 |
Female population age 25-29 | integer | 0% | 100 | 35623, 24039, 33237, 21313, 32290 |
F_30_34 |
Female population age 30-34 | integer | 0% | 99 | 30249, 20569, 27685, 17758, 27466 |
F_35_39 |
Female population age 35-39 | integer | 0% | 100 | 24824, 17469, 22868, 14673, 22369 |
F_40_44 |
Female population age 40-44 | integer | 0% | 100 | 22166, 15494, 19910, 12771, 19811 |
F_45_49 |
Female population age 45-49 | integer | 0% | 99 | 20799, 13887, 17527, 11244, 18344 |
F_50_54 |
Female population age 50-54 | integer | 0% | 100 | 18116, 11801, 14621, 9379, 15965 |
F_55_59 |
Female population age 55-59 | integer | 0% | 100 | 14501, 9400, 11419, 7322, 12984 |
F_60_64 |
Female population age 60-64 | integer | 0% | 98 | 11681, 8281, 8885, 5811, 9947 |
F_65_69 |
Female population age 65-69 | integer | 0% | 100 | 8445, 5874, 6555, 4280, 7117 |
F_70_74 |
Female population age 70-74 | integer | 0% | 98 | 5529, 3794, 4384, 2861, 4632 |
F_75_79 |
Female population age 75-79 | integer | 0% | 96 | 3306, 2267, 2675, 1748, 2769 |
F_80Plus |
F_80Plus | integer | 0% | 95 | 2489, 1706, 1925, 1259, 2093 |
M_00_04 |
Male population age 0-4 | integer | 0% | 100 | 73200, 50947, 68357, 43884, 65321 |
M_05_09 |
Male population age 5-9 | integer | 0% | 99 | 65348, 43977, 59831, 38248, 59488 |
M_10_14 |
Male population age 10-14 | integer | 0% | 100 | 58781, 39635, 55037, 35143, 53313 |
M_15_19 |
Male population age 15-19 | integer | 0% | 99 | 51953, 35939, 52969, 33860, 46268 |
M_20_24 |
Male population age 20-24 | integer | 0% | 100 | 42964, 29831, 42542, 27262, 37692 |
M_25_29 |
Male population age 25-29 | integer | 0% | 100 | 35902, 24722, 32184, 20667, 31168 |
M_30_34 |
Male population age 30-34 | integer | 0% | 100 | 29388, 21194, 25134, 16156, 25440 |
M_35_39 |
Male population age 35-39 | integer | 0% | 99 | 19348, 15702, 15836, 10199, 16736 |
| +26 more pending fields — download the CSV/Parquet to see them all. | |||||
| 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 | SD, SD, SD, SD, SD |
population_count |
Population count | float | SEL | 2% | 65 | 8364489.0, 8634941.0, 8919028.0, 9218077.0, 9531109.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 49.566, 49.964, 50.419, 50.816, 50.879 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 99.7131195068359, 105.313102722168, 111.213455200195,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 97% | 2 | 61.3499984741211, 53.5200004577637 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 177.8, 175.0, 172.4, 169.8, 167.4 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 99% | 1 | 46.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Sudan, Sudan, Sudan, Sudan, Sudan |
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 | SD, SD, SD, SD, SD |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 49.566, 49.964, 50.419, 50.816, 50.879 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 17% | 51 | 46.8, 46.6, 46.4, 46.2, 46.1 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 177.8, 175.0, 172.4, 169.8, 167.4 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 980.0, 938.0, 914.0, 877.0, 881.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.663, 6.656, 6.704, 6.758, 6.804 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.667, 47.595, 47.957, 48.272, 48.512 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 16.316, 16.03, 15.743, 15.496, 15.445 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 74% | 14 | 0.03, 0.041, 0.068, 0.068, 0.11 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 58% | 16 | 1.00650095939636, 1.04260003566742, 0.9932000041008,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 29 | 1.0, 1.0, 2.0, 3.0, 4.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.60664487, 3.36456871, 3.30010891, 3.89187932, 4.15593481 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Sudan, Sudan, Sudan, Sudan, Sudan |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | ache1245, adam1253, afit1238, ajas1235, akaa1242 |
name |
Name | string | CCL | 0% | 100 | Acheron, Adamawa Fulfulde, Afitti, Aja (South Sudan), Aka |
iso639_3 |
Iso639 3 | string | CCL | 7% | 93 | acz, fub, aft, aja, soh |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 4% | 25 | narr1279, atla1278, nyim1244, kres1240, east2386 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 4% | 62 | ache1247, adam1260, nyim1244, kres1240, akak1254 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 18 | ['SD'], ['CM', 'ER', 'ET', 'NG', 'SD', 'TD'], ['SD'],... |
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% | 15 | 2, 6, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 1% | 99 | 10.8827, 8.140326, 12.446, 8.58003, 11.2101 |
longitude |
longitude | float | 1% | 99 | 30.3187, 13.077338, 30.7611, 25.6122, 33.6524 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Sudan |
admin_code |
Admin code | string | SEL | 0% | 1 | 86632940B79902438371927 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1871528.541 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 50440195 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 26.95 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN, SDN, SDN, SDN, SDN |
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% | 19 | Gezira, Khartoum, South Darfur, North Darfur, Kassala |
admin_code |
Admin code | string | SEL | 0% | 19 | 86620642B80352504723135, 86620642B69351377969837,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 19 | 27149.2762, 21219.3804, 85827.3573, 317217.0699, 48695.6116 |
pop_2024 |
Population count | integer | SEL | 0% | 19 | 6176613, 5655763, 4051728, 3311892, 3307456 |
pop_density_2024 |
Population density | float | SEL | 0% | 19 | 227.51, 266.54, 47.21, 10.44, 67.92 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN, SDN, SDN, SDN, SDN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 80 | Khartoum, Port Sudan, Nyala, Kassala, Wad Madanī |
admin_code |
Admin code | integer | SEL | 0% | 80 | 4155, 5561, 2047, 5438, 4682 |
area_sqkm |
Area sqkm | float | SEL | 0% | 79 | 952.5076, 100.476, 103.3639, 64.626, 61.6359 |
pop_2024 |
Population count | integer | SEL | 0% | 80 | 4436362, 1291442, 1129548, 937711, 451869 |
pop_density_2024 |
Population density | float | SEL | 0% | 80 | 4657.56, 12853.24, 10927.88, 14509.81, 7331.26 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 80 | 7114789, 536782, 1038790, 404472, 405413 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 79 | 0.624, 2.406, 1.087, 2.318, 1.115 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 80 | Khartoum, Nyala, Kebkabiya, Al-Ubayyid, Al-Fashir |
country_code |
Country code | string | SEL | 0% | 1 | SDN, SDN, SDN, SDN, SDN |
population |
Population count | integer | SEL | 0% | 80 | 7114789, 1038790, 727487, 679642, 665730 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 80 | 4155, 2047, 1313, 3858, 2575 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Sudan, Sudan, Sudan, Sudan, Sudan |
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 |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN, SDN, SDN, SDN, SDN |
society_id |
Society id | string | CCL | 0% | 23 | Ai10, Ai2, Ai37, Ai39, Ai4 |
society_name |
Society name | string | CCL | 0% | 23 | Otoro, Nyaro, Koalib, Mesakin, Ingassana |
language_glottocode |
Language glottocode | string | CCL | 0% | 21 | otor1240, kooo1244, koal1240, ngil1242, gaam1241 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 14 | EA001:0; EA002:2; EA003:0; EA004:2; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 17 | EA006:1; EA007:8; EA008:5; EA009:5; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 14 | EA028:5; EA029:6; EA030:6; EA031:NA; EA032:3, EA028:NA;... |
political_complexity |
Political complexity | string | CCL | 0% | 7 | EA033:2; EA034:NA; EA035:NA, EA033:NA; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 7 | EA034:NA; EA112:8, EA034:NA; EA112:NA, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 6 | EA011:1; EA012:8; EA013:2, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Sudan, Sudan, Sudan, Sudan, Sudan |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 9 | 12.0, 11.0, 12.0, 11.0, 11.0 |
longitude |
longitude | float | 0% | 12 | 31.0, 31.0, 31.0, 30.0, 34.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| 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 | 2022.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 74.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .sd |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 26.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
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 | 156,000 (2022 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 156000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 34.7 million (2022 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 34.7 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 74 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-owned broadcasters that self-censor but are... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2022.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 26% (2020 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 30,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 30000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/su.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 | 1900.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 49.91 |
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | low-income Sahel economy devastated by ongoing civil... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $94.42 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 | 94.42 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $109.147 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 | 109.147 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $154.672 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 | 154.672 |
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 | -13.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | -13.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -29.4% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -29.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | -1% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | -1.0 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $1,900 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $2,200 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 2200.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $3,100 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 3100.0 |
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 | $49.91 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 138.8% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 138.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 359.1% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 359.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text |
Inflation rate consumer prices 2020 (text) | string | 0% | 1 | 163.3% (2020 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric |
Inflation rate consumer prices 2020 (numeric) | float | 0% | 1 | 163.3 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 22.1% (2024 est.) |
| +108 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 | 63.2 |
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
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 | 63.2% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 84% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 84.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 49.4% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 49.4 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 3.815 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 3.815 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 13.983 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 13.983 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 882 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 882.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 3.646 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 3.646 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 29.9% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 29.9 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.8% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.8 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 68.7% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 68.7 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.6% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.6 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 15 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 15.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 200 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 200.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 68,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 68000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 129,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 129000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 1.25 billion barrels (2021 est.) |
| +7 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 | 60.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 36.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.43 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 2.831 |
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
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 | water pollution; inadequate supplies of potable water;... |
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 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | hot and dry; arid desert; rainy season varies by region... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 60.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 49% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 49.0 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 27.7% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 27.7 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 36.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.43% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 18.242 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 18.242 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 300 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 | 300.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 18.242 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 | 18.242 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 24.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 24.4 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 218.5 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 218.5 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 1,509.6 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 1509.6 |
methane_emissions_waste_text |
methane_emissions_waste_text | string | 0% | 1 | 198.7 kt (2019-2021 est.) |
methane_emissions_waste_numeric |
methane_emissions_waste_numeric | float | 0% | 1 | 198.7 |
| +15 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
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 | Sudanese (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Sudanese |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Sudanese Arab (approximately 70%), Fur, Beja, Nuba,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 70.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/su.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 1861484.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 1731671.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 129813.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 6819.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 853.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3042.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 60.3 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 15504.0 |
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | north-eastern Africa, bordering the Red Sea, between... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 15 00 N, 30 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 1,861,484 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 1,731,671 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 129,813 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than one-fifth the size of the US |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 6,819 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Central African Republic 174 km; Chad 1,403 km; Egypt... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 174.0 |
land_boundaries_note |
land_boundaries_note | string | 0% | 1 | note: Sudan-South Sudan boundary represents 1 January... |
coastline_text |
coastline_text | string | 0% | 1 | 853 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 | 18 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 18.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200-m depth or to the depth of exploitation |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | hot and dry; arid desert; rainy season varies by region... |
terrain_text |
terrain_text | string | 0% | 1 | generally flat, featureless plain; desert dominates the north |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Jabal Marrah 3,042 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Red Sea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 568 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 568.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum; small reserves of iron ore, copper, chromium... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 60.3% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.2% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.2 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.1% (2023 est.) |
| +19 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 | SDN |
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 the Sudan |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Sudan |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Jumhuriyat as-Sudan |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | As-Sudan |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Anglo-Egyptian Sudan, Democratic Republic of the Sudan |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name derives from the Arabic balad-as-sudan, meaning... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Khartoum |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 15 36 N, 32 32 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+3 (8 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name derives from the Arabic words ras (head or end)... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 18 states (wilayat, singular - wilayah); Blue Nile,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 18.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of Islamic law and English common law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1973, 1998, 2005 (interim constitution, which... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1973.0 |
constitution_note |
constitution_note | string | 0% | 1 | note: amended 2020 to incorporate the Juba Agreement for... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
international_law_organization_participation_numeric |
international_law_organization_participation_numeric | float | 0% | 1 | 2008.0 |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | the father must be a citizen of Sudan |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 17 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 17.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | Sovereign Council Chair and Commander-in-Chief of the... |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 11.0 |
| +53 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 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Long referred to as Nubia, modern-day Sudan was the site... |
background_numeric |
background_numeric | float | 0% | 1 | 2500.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/su.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
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), English (official), Nubian, Ta Bedawie, Fur |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | كتاب حقائق العالم، المصدر الذي لا يمكن الاستغناء عنه... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/su.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
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 | 837,988 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 837988.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 11,559,970 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 11559970.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 3 — Sudan does not fully meet the minimum standards... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 3.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/su.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
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 | Sudanese Armed Forces (SAF): Ground Force (Sudanese... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 2.4% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 2.4 |
military_expenditures_military_expenditures_2018_text |
Military expenditures 2018 (text) | string | 0% | 1 | 2% of GDP (2018 est.) |
military_expenditures_military_expenditures_2018_numeric |
Military expenditures 2018 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2017_text |
Military expenditures 2017 (text) | string | 0% | 1 | 3.6% of GDP (2017 est.) |
military_expenditures_military_expenditures_2017_numeric |
Military expenditures 2017 (numeric) | float | 0% | 1 | 3.6 |
military_expenditures_note |
military_expenditures_note | string | 0% | 1 | note: many defense expenditures are probably off-budget |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | prior to the outbreak of fighting between the SAF and... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 2023.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the SAF's inventory includes a mix of mostly Chinese,... |
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 | 18-33 years of age for compulsory or voluntary military... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the primary responsibilities of the Sudanese Armed... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2023.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/su.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 50467278.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 25335092.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 25132186.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 40.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 56.7 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.2 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 76.4 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 70.7 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.7 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 19.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.54 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 32.95 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.0 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -1.55 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 36.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.43 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.01 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 256.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 39.7 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 67.8 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 4.41 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.15 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.25 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 0.7 |
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
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 | 50,467,278 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 25,335,092 |
population_female_text |
population_female_text | string | 0% | 1 | 25,132,186 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 40.1% (male 10,278,453/female 9,949,343) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 56.7% (male 14,211,514/female 14,390,486) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.2% (2024 est.) (male 845,125/female 792,357) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 76.4 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 70.7 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.7 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 17.5 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 17.5 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 19.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 19 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 19.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 19.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 19.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.54% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 32.95 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -1.55 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | with the exception of a ribbon of settlement that... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 36.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.43% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 6.344 million KHARTOUM (capital), 1.057 million Nyala (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 6.344 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.03 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.99 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.99 |
| +56 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 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Sunni Muslim, small Christian minority |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/su.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_sunni_muslim_pct_synth |
Sunni Muslim | numeric | 0% | - | - |
composition_religion_small_christian_minority_pct_synth |
small Christian minority | numeric | 0% | - | - |
composition_ethnicity_sudanese_arab_pct_synth |
Sudanese Arab | numeric | 0% | - | - |
composition_ethnicity_fur_pct_synth |
Fur | numeric | 0% | - | - |
composition_ethnicity_beja_pct_synth |
Beja | numeric | 0% | - | - |
composition_ethnicity_nuba_pct_synth |
Nuba | numeric | 0% | - | - |
composition_ethnicity_ingessana_pct_synth |
Ingessana | numeric | 0% | - | - |
composition_ethnicity_uduk_pct_synth |
Uduk | numeric | 0% | - | - |
composition_ethnicity_fallata_pct_synth |
Fallata | numeric | 0% | - | - |
composition_ethnicity_masalit_pct_synth |
Masalit | numeric | 0% | - | - |
composition_ethnicity_dajo_pct_synth |
Dajo | numeric | 0% | - | - |
composition_ethnicity_gimir_pct_synth |
Gimir | numeric | 0% | - | - |
composition_ethnicity_tunjur_pct_synth |
Tunjur | numeric | 0% | - | - |
composition_ethnicity_berti_there_are_over_500_ethnic_groups_pct_synth |
Berti; there are over 500 ethnic groups | numeric | 0% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
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 | Islamic State of Iraq and ash-Sham (ISIS); al-Qa’ida;... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/su.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 | ST |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 45.0 |
country_code |
Country code | string | SEL | 0% | 1 | SDN |
country_name |
Country name | string | SEL | 0% | 1 | Sudan |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 45 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 8 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 8.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 7,251 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 7251.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 5,851 km (2014) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 5851.0 |
railways_note |
railways_note | string | 0% | 1 | 1,400 km 0.600-m gauge for cotton plantations |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 14 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 14.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | other 14 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 14.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 4 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 4.0 |
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 | 2 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 2.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 0 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 0.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Al Khair Oil Terminal, Beshayer Oil Terminal, Port... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/su.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN, SDN, SDN, SDN, SDN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 9 | Other Arab Groups, Other Northern Groups, Shaygiyya,... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | POWERLESS, POWERLESS, DOMINANT, POWERLESS, DISCRIMINATED |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 9 | 0.32, 0.22, 0.19, 0.09, 0.07 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 9 | 62509000, 62510000, 62512000, 62503000, 62507000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | false, false, , false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 6 | 62.0, 92.0, 96.0, 77.0, 75.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 6 | 122.0, 163.0, 178.0, 108.0, 134.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Sudan, Sudan, Sudan, Sudan, Sudan |
survey_year |
survey_year | integer | 0% | 1 | 1990, 1990, 1990, 1990, 1990 |
region |
region | string | 0% | 6 | Central, Darfur, Eastern, Khartoum, Kordofan |
survey_id |
survey_id | string | 0% | 1 | SD1990DHS, SD1990DHS, SD1990DHS, SD1990DHS, SD1990DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | SDN |
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 | SDN |
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 | SDN |
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 | SDN |
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 | SDN |
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 | SDN, SDN, SDN, SDN |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | ara, eng, rus, fra |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | Arabic, English, Russian, French |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 13397, 1186, 134, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 91.0246, 8.0582, 0.9104, 0.0068 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 189, 0, 7, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | Arab, , Cyrl, |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | Arabic, , Cyrillic, |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 1, 0, 1, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | SDN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Sudan |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 3 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9653 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 198 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 37413 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 26221 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 37400 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 13 |
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_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 306 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 47 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 13098 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 9534 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 1332 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1011 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 11159 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 7470 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 10384 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 7477 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 961 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 552 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 87 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 48 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 86 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 82 |
| 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. | |||||
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 |
|---|---|---|---|
| Arabic (ara) | 13,397 | 91.0% | Arabic |
| English (eng) | 1,186 | 8.1% | — |
| Russian (rus) | 134 | 0.9% | Cyrillic |
26,221 distinct features ·
4 languages ·
3 scripts ·
198 names in non-Roman script ·
13 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.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.