S. Sudan

SSD Global Data Lab SSD-GDL Development Indices

154 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

SSD GDL - Subnational Indices — 154 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD, SSD, SSD, SSD, SSD
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	11	Total, Central Equatoria, Eastern Equatoria, Jonglei, Lakes
`human_development_index`	Human development index	float	SEL	0%	89	0.396, 0.475, 0.383, 0.344, 0.356
`health_index`	Health index	float	SEL	0%	93	0.577, 0.538, 0.53, 0.676, 0.636
`education_index`	Education index	float	SEL	0%	56	0.277, 0.474, 0.287, 0.162, 0.174
`income_index`	Income index	float	SEL	0%	59	0.389, 0.42, 0.368, 0.372, 0.406
`life_expectancy`	Life expectancy	float	SEL	0%	99	57.49, 54.99, 54.47, 63.95, 61.36
`mean_years_schooling`	Mean years schooling	float	SEL	0%	66	4.153, 6.705, 4.294, 2.604, 2.737

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	10	2010, 2010, 2010, 2010, 2010
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

SSD UNHCR Refugee Data Finder SSD-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

SSD UNHCR - Hosted Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

SSD UNHCR - Origin Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

SSD World Bank Open Data SSD-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

SSD World Bank - Development Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SS, SS, SS, SS, SS
`population_count`	Population count	float	SEL	2%	65	2931559.0, 2976724.0, 3024308.0, 3072669.0, 3129918.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	28.054, 28.278, 28.506, 28.249, 32.458
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	88%	8	1654.21153546555, 1323.22068747862, 1498.27034985194,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	99%	1	26.8299999237061
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	60	354.9, 352.3, 349.4, 345.8, 342.7
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	99%	1	82.3

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	South Sudan, South Sudan, South Sudan, South Sudan, South Sudan
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

SSD World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SS, SS, SS, SS, SS
`life_expectancy`	Life expectancy	float	SEL	3%	64	28.054, 28.278, 28.506, 28.249, 32.458
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	32	65.8, 65.2, 64.6, 64.8, 64.1
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	60	354.9, 352.3, 349.4, 345.8, 342.7
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	39	3845.0, 3720.0, 8045.0, 5535.0, 5103.0
`fertility_rate`	Fertility rate	float	SEL	3%	61	7.161, 7.178, 7.195, 7.196, 7.22
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	52.027, 52.287, 52.507, 52.683, 52.976
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	63	37.378, 37.107, 36.832, 37.604, 32.277
`physicians_per_1000`	Physicians per 1000	float	SEL	94%	3	0.041, 0.033, 0.043, 0.041
`hospital_beds_per_1000`	Hospital beds per 1000	string	SEL	100%	-	-
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	79%	11	61.0, 63.0, 53.0, 50.0, 46.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	89%	7	22.11322403, 11.69539356, 9.06570053, 9.35116673, 6.30117083

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	South Sudan, South Sudan, South Sudan, South Sudan, South Sudan
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

SSD HDX COD — Population Statistics (OCHA/UNFPA) SSD-COD_PS Census Derived Population

89 rows · 3 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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0 Admin 0 — 1 table(s)

SSD Cod Ps - Ssd Codps (admin_0) — 1 rows, 20 columns

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Field details — 20 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	100%	-	-
`region_name`	Region name	string	SEL	0%	1	South Sudan
`F_TL`	Female population	integer	SEL	0%	1	6243943
`M_TL`	Male population	integer	SEL	0%	1	6151029
`T_TL`	Total population	integer	SEL	0%	1	12394970

Pending (15) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	string	100%	-	-
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	SS
`F_00_04`	Female population age 0-4	integer	0%	1	1113239
`F_05_17`	Female population age 5-17	integer	0%	1	2156956
`F_18_60`	Female population age 18-60	integer	0%	1	2504834
`F_61plus`	F_61plus	integer	0%	1	468914
`M_00_04`	Male population age 0-4	integer	0%	1	1192983
`M_05_17`	Male population age 5-17	integer	0%	1	2165580
`M_18_60`	Male population age 18-60	integer	0%	1	2369296
`M_61plus`	M_61plus	integer	0%	1	423170
`T_00_04`	Total population age 0-4	integer	0%	1	2306221
`T_05_17`	Total population age 5-17	integer	0%	1	4322537
`T_18_60`	Total population age 18-60	integer	0%	1	4874126
`T_61plus`	T_61plus	integer	0%	1	892086

1 Admin 1 — 1 table(s)

SSD Cod Ps - Ssd Codps (admin_1) — 10 rows, 20 columns

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Field details — 20 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	10	SS01, SS02, SS03, SS04, SS05
`region_name`	Region name	string	SEL	0%	10	Central Equatoria, Eastern Equatoria, Jonglei, Lakes,...
`F_TL`	Female population	integer	SEL	0%	10	785160, 567603, 1031609, 602038, 487231
`M_TL`	Male population	integer	SEL	0%	10	760518, 557746, 1000167, 607714, 447923
`T_TL`	Total population	integer	SEL	0%	10	1545676, 1125347, 2031777, 1209753, 935155

Pending (15) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	string	100%	-	-
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	SS, SS, SS, SS, SS
`F_00_04`	Female population age 0-4	integer	0%	10	139922, 116343, 195791, 84378, 90136
`F_05_17`	Female population age 5-17	integer	0%	10	226855, 190487, 330744, 249695, 189500
`F_18_60`	Female population age 18-60	integer	0%	10	368594, 225308, 422456, 224594, 175937
`F_61plus`	F_61plus	integer	0%	10	49789, 35465, 82618, 43371, 31658
`M_00_04`	Male population age 0-4	integer	0%	10	115080, 132441, 227165, 103358, 92719
`M_05_17`	Male population age 5-17	integer	0%	10	217924, 196996, 345604, 241246, 176137
`M_18_60`	Male population age 18-60	integer	0%	10	357949, 202965, 364209, 232025, 154079
`M_61plus`	M_61plus	integer	0%	10	69565, 25344, 63189, 31085, 24988
`T_00_04`	Total population age 0-4	integer	0%	10	255002, 248782, 422957, 187735, 182856
`T_05_17`	Total population age 5-17	integer	0%	10	444777, 387483, 676348, 490942, 365639
`T_18_60`	Total population age 18-60	integer	0%	10	726542, 428272, 786667, 456618, 330016
`T_61plus`	T_61plus	integer	0%	10	119355, 60810, 145805, 74458, 56644

2 Admin 2 — 1 table(s)

SSD Cod Ps - Ssd Codps (admin_2) — 78 rows, 20 columns

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Field details — 20 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	78	SS0101, SS0102, SS0103, SS0104, SS0105
`region_name`	Region name	string	SEL	0%	78	Juba, Kajo-keji, Lainya, Morobo, Terekeka
`F_TL`	Female population	integer	SEL	0%	78	269978, 109627, 53673, 56837, 133979
`M_TL`	Male population	integer	SEL	0%	78	252729, 123029, 60040, 59180, 124418
`T_TL`	Total population	integer	SEL	0%	78	522706, 232657, 113712, 116016, 258397

Pending (15) — awaiting mapping

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	string	100%	-	-
`ADM0_PCODE`	ADM0_PCODE	string	0%	1	SS, SS, SS, SS, SS
`F_00_04`	Female population age 0-4	integer	0%	78	50912, 7003, 11485, 12182, 21473
`F_05_17`	Female population age 5-17	integer	0%	78	83110, 13517, 11826, 18911, 42377
`F_18_60`	Female population age 18-60	integer	0%	78	125972, 74450, 26609, 23551, 59690
`F_61plus`	F_61plus	integer	0%	78	9984, 14657, 3753, 2193, 10439
`M_00_04`	Male population age 0-4	integer	0%	77	38680, 3792, 11940, 9455, 22868
`M_05_17`	Male population age 5-17	integer	0%	78	80497, 13378, 12508, 20651, 46770
`M_18_60`	Male population age 18-60	integer	0%	77	121268, 76312, 32522, 25292, 49974
`M_61plus`	M_61plus	integer	0%	78	12284, 29547, 3070, 3782, 4806
`T_00_04`	Total population age 0-4	integer	0%	78	89592, 10795, 23425, 21637, 44341
`T_05_17`	Total population age 5-17	integer	0%	78	163607, 26895, 24334, 39561, 89147
`T_18_60`	Total population age 18-60	integer	0%	78	247240, 150762, 59130, 48843, 109664
`T_61plus`	T_61plus	integer	0%	78	22267, 44205, 6823, 5975, 15245

SSD Glottolog Language Catalog SSD-GLOTTOLOG Language

87 rows · 1 table(s) Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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0 Admin 0 — 1 table(s)

SSD Glottolog - Languages — 87 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	87	acol1236, ajas1235, anua1242, arin1244, avok1242
`name`	Name	string	CCL	0%	87	Acoli, Aja (South Sudan), Anuak, Aringa, Avokaya
`iso639_3`	Iso639 3	string	CCL	6%	82	ach, aja, anu, luc, avu
`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%	10	nilo1247, kres1240, nilo1247, cent2225, cent2225
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	53	sout2831, kres1240, nort2814, lugb1241, avok1245
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	15	['SS', 'UG'], ['SD', 'SS'], ['ET', 'SS'], ['SS', 'UG'],...
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	13	3, 0, 4, 0, 4

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	87	3.57738, 8.58003, 7.57714, 3.56143, 4.38639
`longitude`	longitude	float	0%	87	32.5147, 25.6122, 34.0267, 31.3071, 29.9379
`classification`	classification	string	0%	1	[], [], [], [], []

SSD LandScan Global (ORNL) SSD-LANDSCAN Modeled Population

28 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

SSD LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	South Sudan
`admin_code`	Admin code	string	SEL	0%	1	54869323B67570698233756
`area_sqkm`	Area sqkm	float	SEL	0%	1	632498.1008
`pop_2024`	Population count	integer	SEL	0%	1	12695657
`pop_density_2024`	Population density	float	SEL	0%	1	20.07

1 Admin 1 — 1 table(s)

SSD LandScan - Population Admin1 (admin_1) — 10 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD, SSD, SSD, SSD, SSD
`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%	10	Warrap, Northern Bahr el Ghazal, Central Equatoria, Lakes, Unity
`admin_code`	Admin code	string	SEL	0%	10	48771326B11845073429118, 48771326B49579010016854,...
`area_sqkm`	Area sqkm	float	SEL	0%	10	35854.8026, 30852.0094, 43078.53, 43211.8768, 37084.8019
`pop_2024`	Population count	integer	SEL	0%	10	2712872, 1977735, 1360242, 1304806, 1209784
`pop_density_2024`	Population density	float	SEL	0%	10	75.66, 64.1, 31.58, 30.2, 32.62

Locality Locality — 1 table(s)

SSD LandScan - Cities (locality) — 17 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD, SSD, SSD, SSD, SSD
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	17	Juba, Wau, Yei, Nimule, Bor
`admin_code`	Admin code	integer	SEL	0%	17	986, 118, 598, 1104, 866
`area_sqkm`	Area sqkm	float	SEL	0%	17	78.4788, 30.8, 23.8408, 13.9072, 18.8761
`pop_2024`	Population count	integer	SEL	0%	17	480828, 169561, 87669, 66126, 65369
`pop_density_2024`	Population density	float	SEL	0%	17	6126.85, 5505.23, 3677.27, 4754.8, 3463.06

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	17	296087, 115385, 166143, 665398, 139876
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	16	1.624, 1.47, 0.528, 0.099, 0.467

SSD D-PLACE SSD-DPLACE Ethnographic Societies

18 rows · 1 table(s) D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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0 Admin 0 — 1 table(s)

SSD D-PLACE - Dplace Ea Societies — 18 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD, SSD, SSD, SSD, SSD
`society_id`	Society id	string	CCL	0%	18	Ai33, Ai34, Ai35, Ai36, Ai38
`society_name`	Society name	string	CCL	0%	18	Madi, Moru, Bongo, Jur, Korongo
`language_glottocode`	Language glottocode	string	CCL	0%	18	madi1260, moru1253, bong1285, luwo1239, kron1241
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	15	EA001:0; EA002:1; EA003:2; EA004:3; EA005:4, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	11	EA006:1; EA007:2; EA008:8; EA009:5; EA010:8, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	14	EA028:3; EA029:6; EA030:5; EA031:NA; EA032:3, EA028:3;...
`political_complexity`	Political complexity	string	CCL	0%	7	EA033:2; EA034:2; EA035:NA, EA033:2; EA034:NA; EA035:NA,...
`religion_importance`	Religion importance	string	CCL	0%	9	EA034:2; EA112:NA, EA034:NA; EA112:NA, EA034:2; EA112:3,...
`residence_pattern`	Residence pattern	string	CCL	0%	5	EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,...

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	South Sudan, South Sudan, South Sudan, South Sudan, South Sudan
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	7	4.0, 5.0, 7.0, 8.0, 10.0
`longitude`	longitude	float	0%	8	32.0, 30.0, 29.0, 28.0, 30.0
`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

SSD GHS Urban Centre Database (EU JRC) SSD-GHSL_UCDB Modeled Population

17 rows · 1 table(s) GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

Locality Locality — 1 table(s)

SSD GHS-UCDB - Cities (locality) — 17 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	17	Nimule, Torit, Riwoto, Kapoeta, Juba
`country_code`	Country code	string	SEL	0%	1	SSD, SSD, SSD, SSD, SSD
`population`	Population count	integer	SEL	0%	17	665398, 526257, 432310, 345377, 296087

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	17	1104, 1526, 1975, 2214, 986
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	South Sudan, South Sudan, South Sudan, South Sudan, South 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%	-	-

SSD OpenFactBook SSD-OPENFACTBOOK Country Profile

14 rows · 14 table(s) OpenFactBook 0 1 2 3 88 SEL 4 CCL 492 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 14 table(s)

SSD OpenFactBook - Communications — 1 rows, 22 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

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	2023.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	30.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.ss
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	9.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2023.0
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	0 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	0.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	6.17 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	6.17
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	30 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	1 state-controlled TV channel and radio station; several...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	1.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	9% (2022 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	0 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	0.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	africa/od.json

SSD OpenFactBook - Economy — 1 rows, 135 columns

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Field details — 135 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	4.629
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	82.3
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (130) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	low-income, oil-based Sahelian economy; extreme poverty...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-19.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$6.752 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	6.752
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$6.585 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	6.585
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_text`	Real gdp purchasing power parity 2021 (text)	string	0%	1	$6.945 billion (2021 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_numeric`	Real gdp purchasing power parity 2021 (numeric)	float	0%	1	6.945
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2015 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2017_text`	Real gdp growth rate 2017 (text)	string	0%	1	-5.2% (2017 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2017_numeric`	Real gdp growth rate 2017 (numeric)	float	0%	1	-5.2
`real_gdp_growth_rate_real_gdp_growth_rate_2016_text`	Real gdp growth rate 2016 (text)	string	0%	1	-13.9% (2016 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2016_numeric`	Real gdp growth rate 2016 (numeric)	float	0%	1	-13.9
`real_gdp_growth_rate_real_gdp_growth_rate_2015_text`	Real gdp growth rate 2015 (text)	string	0%	1	-10.8% (2015 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2015_numeric`	Real gdp growth rate 2015 (numeric)	float	0%	1	-10.8
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$400 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	400.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$400 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	400.0
`real_gdp_per_capita_real_gdp_per_capita_2021_text`	Real gdp per capita 2021 (text)	string	0%	1	$400 (2021 est.)
`real_gdp_per_capita_real_gdp_per_capita_2021_numeric`	Real gdp per capita 2021 (numeric)	float	0%	1	400.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2015 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$4.629 billion (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	91.4% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	91.4
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	2.4% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	2.4
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	-6.7% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	-6.7
+100 more extension fields — download the CSV/Parquet to see them all.

SSD OpenFactBook - Energy — 1 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	8.4
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (27) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	8.4% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	15%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	15.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	1.7%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	1.7
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	136,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	136000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	566.034 million kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	566.034
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	23.966 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	23.966
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	93.2% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	93.2
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	6.8% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	6.8
`coal_imports_text`	coal_imports_text	string	0%	1	100 metric tons (2022 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	100.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	146,000 bbl/day (2023 est.)
`petroleum_total_petroleum_production_numeric`	petroleum_total_petroleum_production_numeric	float	0%	1	146000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	11,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	11000.0
`petroleum_crude_oil_estimated_reserves_text`	petroleum_crude_oil_estimated_reserves_text	string	0%	1	3.75 billion barrels (2021 est.)
`petroleum_crude_oil_estimated_reserves_numeric`	petroleum_crude_oil_estimated_reserves_numeric	float	0%	1	3.75
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text	string	0%	1	2.092 million Btu/person (2023 est.)
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric	float	0%	1	2.092
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	africa/od.json

SSD OpenFactBook - Environment — 1 rows, 49 columns

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Field details — 49 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	44.9
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	11.3
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	21.2
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.12
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	2.681
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (41) — supplemental data preserved outside core SEL/CCL schema

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-Paris...
`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 with seasonal rainfall influenced by the annual...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	44.9% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 3.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	3.9
`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: 40.8% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	40.8
`land_use_forest_text`	land_use_forest_text	string	0%	1	11.3% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	43.8% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	43.8
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	21.2% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.12% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	1.725 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	1.725
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	1.725 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	1.725
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	20.6 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	20.6
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	59.4 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	59.4
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	696 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	696.0
`methane_emissions_waste_text`	methane_emissions_waste_text	string	0%	1	120.2 kt (2019-2021 est.)
`methane_emissions_waste_numeric`	methane_emissions_waste_numeric	float	0%	1	120.2
`methane_emissions_other_text`	methane_emissions_other_text	string	0%	1	12.7 kt (2019-2021 est.)
`methane_emissions_other_numeric`	methane_emissions_other_numeric	float	0%	1	12.7
+11 more extension fields — download the CSV/Parquet to see them all.

SSD OpenFactBook - Ethnic Groups — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	South Sudanese (singular and plural)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	South Sudanese
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Dinka (Jieng) approximately 35-40%, Nuer (Naath)...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	35.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	africa/od.json

SSD OpenFactBook - Geography — 1 rows, 51 columns

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Field details — 51 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	644329.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	6018.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	3187.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	381.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	44.9
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	11.3
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	1000.0
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (40) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	East-Central Africa; south of Sudan, north of Uganda and...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	8 00 N, 30 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	8.0
`map_references_text`	map_references_text	string	0%	1	Africa
`area_total_text`	area_total_text	string	0%	1	644,329 sq km
`area_land_text`	area_land_text	string	0%	1	NA
`area_water_text`	area_water_text	string	0%	1	NA
`area_comparative_text`	area_comparative_text	string	0%	1	more than four times the size of Georgia; slightly...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	6,018 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Central African Republic 1,055 km; Democratic Republic...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	1055.0
`land_boundaries_note`	land_boundaries_note	string	0%	1	note: South Sudan-Sudan boundary represents 1 January...
`coastline_text`	coastline_text	string	0%	1	0 km (landlocked)
`maritime_claims_text`	maritime_claims_text	string	0%	1	none (landlocked)
`climate_text`	climate_text	string	0%	1	hot with seasonal rainfall influenced by the annual...
`terrain_text`	terrain_text	string	0%	1	plains in the north and center rise to southern...
`terrain_numeric`	terrain_numeric	float	0%	1	100000.0
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Kinyeti 3,187 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	White Nile 381 m
`natural_resources_text`	natural_resources_text	string	0%	1	hydropower, fertile agricultural land, gold, diamonds,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	44.9% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 3.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	3.9
`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: 40.8% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	40.8
`land_use_forest_text`	land_use_forest_text	string	0%	1	11.3% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	43.8% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	43.8
+10 more extension fields — download the CSV/Parquet to see them all.

SSD OpenFactBook - Government — 1 rows, 100 columns

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Field details — 100 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (98) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Republic of South Sudan
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	South Sudan
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	self-descriptive name from the country's geographic...
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Juba
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	04 51 N, 31 37 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	4.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+2 (8 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	2.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name comes from the name of a small Bari village...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	10 states; Central Equatoria, Eastern Equatoria,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	10.0
`constitution_history_text`	constitution_history_text	string	0%	1	previous 2005 (pre-independence); latest signed 7 July...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	2005.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the National Legislature or by the president...
`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 South Sudan
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	10 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	10.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	President Salva KIIR Mayardit (since 9 July 2011)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	9.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	President Salva KIIR Mayardit (since 9 July 2011)
`executive_branch_head_of_government_numeric`	executive_branch_head_of_government_numeric	float	0%	1	9.0
`executive_branch_cabinet_text`	executive_branch_cabinet_text	string	0%	1	National Council of Ministers appointed by the...
`executive_branch_election_appointment_process_text`	executive_branch_election_appointment_process_text	string	0%	1	president directly elected by simple-majority popular...
`executive_branch_election_appointment_process_numeric`	executive_branch_election_appointment_process_numeric	float	0%	1	4.0
`executive_branch_most_recent_election_date_text`	executive_branch_most_recent_election_date_text	string	0%	1	11-15 April 2010
+68 more extension fields — download the CSV/Parquet to see them all.

SSD OpenFactBook - Introduction — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	South Sudan, which gained independence from Sudan in...
`background_numeric`	background_numeric	float	0%	1	2011.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	africa/od.json

SSD OpenFactBook - Languages — 1 rows, 7 columns

Loading data…

Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	English (official), Arabic (includes Juba and Sudanese...
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	The World Factbook, the indispensable source for basic...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	africa/od.json

SSD OpenFactBook - Migration — 1 rows, 13 columns

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Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	517,471 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	517471.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	1,359,795 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	1359795.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	18,000 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	18000.0
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 3 — South Sudan does not fully meet the minimum...
`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/od.json

SSD OpenFactBook - Military And Security — 1 rows, 25 columns

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Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	South Sudan People’s Defense Force (SSPDF): Land Forces...
`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% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	2% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	2% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	2% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	2% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	2.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	information varies; estimated 150-200,000 active Defense...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	150.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the SSPDF inventory is a mix of primarily of Soviet-era...
`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 (legal minimum age)-35 for voluntary military service...
`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 South Sudan People's Defense Forces (SSPDF) are...
`military_note_numeric`	military_note_numeric	float	0%	1	2020.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	africa/od.json

SSD OpenFactBook - People And Society — 1 rows, 110 columns

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Field details — 110 fields (type, nulls, unique, samples)

Standards-Aligned Fields (27)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	12703714.0
`population_male_numeric`	Population male	float	SEL	0%	1	6476341.0
`population_female_numeric`	Population female	float	SEL	0%	1	6227373.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	42.1
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	55.3
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	2.6
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	80.8
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	76.1
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	4.7
`median_age_total_numeric`	Median age	float	SEL	0%	1	18.7
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	4.52
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	35.68
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	8.65
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	18.2
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	21.2
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	4.12
`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	1.04
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	692.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	58.6
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	60.3
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	4.98
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	2.43
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.04
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (83) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	12,703,714 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	6,476,341
`population_female_text`	population_female_text	string	0%	1	6,227,373
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	42.1% (male 2,725,520/female 2,619,035)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	55.3% (male 3,568,064/female 3,458,804)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	2.6% (2024 est.) (male 182,757/female 149,534)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	80.8 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	76.1 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	4.7 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	21.1 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	21.1
`median_age_total_text`	median_age_total_text	string	0%	1	18.7 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	18.7 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	18.7
`median_age_female_text`	median_age_female_text	string	0%	1	18.7 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	18.7
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	4.52% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	35.68 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	8.65 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	18.2 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	clusters found in urban areas, particularly in the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	21.2% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	4.12% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	459,000 JUBA (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	459000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.03 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.03
+53 more extension fields — download the CSV/Parquet to see them all.

SSD OpenFactBook - Religions — 1 rows, 34 columns

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Field details — 34 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	60.5
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	6.2
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.5
`composition_ethnicity_primary_label_synth`	Dinka (Jieng) approximately	string	CCL	0%	-	Dinka (Jieng) approximately

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Christian 60.5%, folk religion 32.9%, Muslim 6.2%, other...
`religions_numeric`	religions_numeric	float	0%	1	60.5
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	africa/od.json

Pending (23) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_folk_religion_pct_synth`	folk religion	numeric	0%	-	32.9
`composition_religion_unaffiliated_pct_synth`	unaffiliated	numeric	0%	-	0.5
`composition_ethnicity_dinka_jieng_approximately_pct_synth`	Dinka (Jieng) approximately	numeric	0%	-	37.5
`composition_ethnicity_nuer_naath_approximately_pct_synth`	Nuer (Naath) approximately	numeric	0%	-	15.0
`composition_ethnicity_shilluk_pct_synth`	Shilluk	numeric	0%	-	-
`composition_ethnicity_azande_pct_synth`	Azande	numeric	0%	-	-
`composition_ethnicity_bari_pct_synth`	Bari	numeric	0%	-	-
`composition_ethnicity_kakwa_pct_synth`	Kakwa	numeric	0%	-	-
`composition_ethnicity_kuku_pct_synth`	Kuku	numeric	0%	-	-
`composition_ethnicity_murle_pct_synth`	Murle	numeric	0%	-	-
`composition_ethnicity_mandari_pct_synth`	Mandari	numeric	0%	-	-
`composition_ethnicity_didinga_pct_synth`	Didinga	numeric	0%	-	-
`composition_ethnicity_ndogo_pct_synth`	Ndogo	numeric	0%	-	-
`composition_ethnicity_bviri_pct_synth`	Bviri	numeric	0%	-	-
`composition_ethnicity_lndi_pct_synth`	Lndi	numeric	0%	-	-
`composition_ethnicity_anuak_pct_synth`	Anuak	numeric	0%	-	-
`composition_ethnicity_bongo_pct_synth`	Bongo	numeric	0%	-	-
`composition_ethnicity_lango_pct_synth`	Lango	numeric	0%	-	-
`composition_ethnicity_dungotona_pct_synth`	Dungotona	numeric	0%	-	-
`composition_ethnicity_acholi_pct_synth`	Acholi	numeric	0%	-	-
`composition_ethnicity_baka_pct_synth`	Baka	numeric	0%	-	-
`composition_ethnicity_fertit_pct_synth`	Fertit	numeric	0%	-	-
`composition_ethnicity_primary_share_pct_synth`	Dinka (Jieng) approximately	numeric	0%	-	37.5

SSD OpenFactBook - Transportation — 1 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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	Z8
`airports_numeric`	Airports count	float	SEL	0%	1	89.0
`country_code`	Country code	string	SEL	0%	1	SSD
`country_name`	Country name	string	SEL	0%	1	South Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	8.0
`airports_text`	airports_text	string	0%	1	89 (2025)
`heliports_text`	heliports_text	string	0%	1	2 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	2.0
`railways_total_text`	railways_total_text	string	0%	1	248 km (2018)
`railways_total_numeric`	railways_total_numeric	float	0%	1	248.0
`railways_note`	railways_note	string	0%	1	note: a narrow gauge, single-track railroad between...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	africa/od.json

SSD Ethnic Power Relations Dataset SSD-EPR Political Ethnicity

10 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

SSD EPR - Groups — 10 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD, SSD, SSD, SSD, SSD
`ethnic_group_name`	Ethnic group name	string	CCL	0%	10	Dinka, Nuer, Azande, Toposa, Shilluk
`ethnic_power_status`	Ethnic power status	string	CCL	0%	4	SENIOR PARTNER, JUNIOR PARTNER, POWERLESS, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	8	0.4, 0.2, 0.1, 0.08, 0.05
`ethnic_group_id`	Ethnic group id	float	CCL	0%	10	62604000, 62608000, 62601000, 62618000, 62613000
`regional_autonomy`	Regional autonomy	string	CCL	0%	1	false, false, false, false, false

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , , ,

SSD NGA GEOnet Names Server (GNS) SSD-NGA_GNS Language

6 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 20 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

SSD Nga Gns - Language — 5 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	SSD, SSD, SSD, SSD, SSD
`gns_language_code`	gns_language_code	string	CCL	0%	5	ara, eng, rus, fra, din
`gns_language_name`	gns_language_name	string	CCL	0%	5	Arabic, English, Russian, French, Dinka
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	5	395, 170, 63, 2, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	5	62.599, 26.9414, 9.9842, 0.317, 0.1585
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	3	2, 0, 17, 0, 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, 0

SSD Nga Gns - Summary — 1 rows, 27 columns

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Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	SSD
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	South Sudan
`gns_language_count`	gns_language_count	integer	CCL	0%	1	5
`gns_script_count`	gns_script_count	integer	CCL	0%	1	2
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9867
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	22

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	15069
`gns_feature_count`	gns_feature_count	integer	0%	1	12083
`gns_endonym_count`	gns_endonym_count	integer	0%	1	15067
`gns_exonym_count`	gns_exonym_count	integer	0%	1	2
`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	105
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	20
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	6043
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	5206
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	2297
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	1579
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	614
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	552
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	593
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	525
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	30
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	27
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	5387
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	4174

SSD Afrobarometer SSD-AFROBAROMETER Attitudes Values

5 rows · 5 table(s) Afrobarometer 0 1 2 3 5 SEL 24 CCL 20 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 5 table(s)

SSD Afrobarometer - Economic Indicators — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

SSD Afrobarometer - Gender Indicators — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

SSD Afrobarometer - Governance Indicators — 1 rows, 13 columns

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Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

SSD Afrobarometer - Migration Indicators — 1 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

SSD Afrobarometer - Social Trust Indicators — 1 rows, 10 columns

Loading data…

Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	SSD
`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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

SSD Global Organized Crime Index SSD-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

SSD Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

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.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Arabic (ara)	395	62.6%	Arabic
English (eng)	170	26.9%	—
Russian (rus)	63	10.0%	Cyrillic
French (fra)	2	0.3%	—
Dinka (din)	1	0.2%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Global Data Lab	academic	api
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
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
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
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