Sudan

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

207 rows · 3 tables · 2024 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 15 SEL ▶

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0 Admin 0 — 1 table(s)

SDN COD PS - SDN Codps (admin_0) — 1 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Pending (54) — awaiting mapping

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.

1 Admin 1 — 1 table(s)

SDN COD PS - SDN Codps (admin_1) — 18 rows, 60 columns

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Field details — 60 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Pending (55) — 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	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.

2 Admin 2 — 1 table(s)

SDN COD PS - SDN Codps (admin_2) — 188 rows, 61 columns

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Field details — 61 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Pending (56) — 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	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.

SDN World Bank Open Data SDN-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 3 table(s)

SDN 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	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

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	Sudan, Sudan, Sudan, Sudan, Sudan
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

SDN 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	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

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	Sudan, Sudan, Sudan, Sudan, Sudan
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

SDN World Bank - Migration Indicators — 66 rows, 9 columns

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	SDN, SDN, SDN, SDN, SDN
`country_name`	country_name	string	0%	1	Sudan, Sudan, Sudan, Sudan, Sudan
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	1402896.0, 1053396.0, 805086.0, 546419.0, 618709.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	6	6.4, 4.3, 2.9, 1.7, 1.7
`net_migration`	net_migration	float	0%	66	2194.0, 3904.0, 4387.0, 4263.0, 4505.0
`remittances_received_usd`	remittances_received_usd	float	30%	46	40492912.29, 68978424.07, 127889999.4, 262200012.2, 383991638.2
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	30%	46	0.539977088127204, 0.848576773244481, 1.51917087698553,...
`remittances_paid_usd`	remittances_paid_usd	float	30%	44	3446213.961, 2877464.294, 12210000.04, 53200000.76, 61254814.15

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

143 rows · 3 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 33 ext ▶

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0 Admin 0 — 3 table(s)

SDN NGA GNS - Language — 4 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	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	13594, 1286, 134, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	90.5361, 8.5648, 0.8924, 0.0067
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	3	287, 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

SDN NGA GNS - Summary — 1 rows, 29 columns

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Field details — 29 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	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	99.9655
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	296

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	37723
`gns_feature_count`	gns_feature_count	integer	0%	1	26318
`gns_endonym_count`	gns_endonym_count	integer	0%	1	37710
`gns_exonym_count`	gns_exonym_count	integer	0%	1	13
`gns_source_build_date`	gns_source_build_date	string	0%	1	Mon, 14 Sep 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-09-14
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	602
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	144
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	13101
`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	1335
`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	11161
`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	10390
`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

SDN NGA GNS - Admin Crosswalk — 138 rows, 12 columns

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Field details — 12 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	SDN, SDN, SDN, SDN, SDN

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	100	315383, 11615372, 11615371, 315350, 315342
`admin_designation`	admin_designation	string	0%	2	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	99	Blue Nile, Central Darfur, East Darfur, Gedaref, Gezira
`gns_local_name`	gns_local_name	string	81%	19	ولاية النيل الازرق, وسط دارفور, شرق دارفور, القضارف, الجزيرة
`iso_3166_2`	iso_3166_2	string	0%	19	SD-NB, SD-DC, SD-DE, SD-GD, SD-GZ
`parent_code`	parent_code	string	0%	19	SDN, SDN, SDN, SDN, SDN
`gns_prominence_band`	gns_prominence_band	integer	0%	3	9, 9, 9, 9, 9
`latitude`	latitude	float	0%	97	11.15, 12.383333, 11.166667, 14.25, 14.6
`longitude`	longitude	float	0%	98	34.1, 23.3, 26.5, 35.25, 33.35
`gns_mgrs`	gns_mgrs	string	0%	100	36PXT2011432788, 34PGU5007870019, 35PMN4540834454,...
`name_variant_count`	name_variant_count	integer	0%	11	6, 6, 8, 10, 14

SDN UNHCR Refugee Data Finder SDN-UNHCR Migration

122 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 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)

SDN UNHCR - Hosted Populations — 59 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%	-	-

SDN UNHCR - Origin Populations — 63 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%	-	-

SDN Glottolog Language Catalog SDN-GLOTTOLOG Language

103 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 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)

SDN Glottolog - Languages — 103 rows, 16 columns

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

Standards-Aligned Fields (12)

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%	-	-
`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

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

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
`country_codes`	Country codes	string	0%	18	['SD'], ['CM', 'ER', 'ET', 'NG', 'SD', 'TD'], ['SD'],...
`classification`	classification	string	0%	1	[], [], [], [], []

SDN LandScan Global (ORNL) SDN-LANDSCAN Modeled Population

100 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

SDN 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	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

1 Admin 1 — 1 table(s)

SDN LandScan - Population Admin1 (admin_1) — 19 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	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

Locality Locality — 1 table(s)

SDN LandScan - Cities (locality) — 80 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	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

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%	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

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

80 rows · 1 table · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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Locality Locality — 1 table(s)

SDN GHS-UCDB - Cities (locality) — 80 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%	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

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

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%	-	-

SDN D-PLACE SDN-DPLACE Ethnographic Societies

46 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 ext ▶

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0 Admin 0 — 2 table(s)

SDN D-PLACE - Dplace Ea Societies — 23 rows, 23 columns

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Field details — 23 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	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%	16	EA017:4; EA018:3; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	21	EA006:1; EA007:8; EA008:5; EA009:5; EA023:8; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	17	EA001:0; EA002:2; EA003:0; EA004:2; EA005:6; EA028:5;...
`political_complexity`	Political complexity	string	CCL	0%	8	EA032:3; EA033:2, EA032:NA; EA033:NA, EA032:4; EA033:2,...
`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%	9	EA010:8; EA011:1; EA012:8; EA013:2; EA014:6, EA010:9;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	7	EA030:6; EA031:NA, EA030:NA; EA031:NA, EA030:6;...

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

SDN D-PLACE - Dplace Ea Societies Decoded — 23 rows, 49 columns

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Field details — 49 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	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	, , , ,

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	22%	3	3, 4, 3, 3, 4
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	22%	4	2, 2, 2, 1, 1
`religion_high_gods`	religion_high_gods	integer	52%	1	4, 4, 4, 4, 4
`trance_states`	trance_states	integer	39%	4	8, 5, 8, 8, 3
`settlement_patterns`	settlement_patterns	integer	9%	5	6, 6, 6, 5, 6
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	96%	1	2
`marital_residence_first_years`	marital_residence_first_years	integer	4%	3	8, 9, 8, 9, 9
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	4%	3	1, 1, 1, 1, 2
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	4%	4	8, 8, 8, 1, 2
`residence_transfer_alternate`	residence_transfer_alternate	integer	4%	3	2, 9, 9, 9, 1
`marital_residence_alternate`	marital_residence_alternate	integer	4%	4	6, 11, 11, 10, 1
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	4%	4	4, 3, 4, 1, 1
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	4%	4	3, 3, 4, 1, 1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	4%	3	1, 3, 1, 4, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	4%	3	1, 3, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	4%	2	9, 9, 9, 9, 3
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	4%	2	9, 9, 9, 9, 2
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	39%	3	4, 4, 5, 4, 2
`descent_major_type`	descent_major_type	integer	4%	4	1, 2, 1, 3, 5
+14 more extension fields — download the CSV/Parquet to see them all.

SDN OpenFactBook SDN-OPENFACTBOOK Country Profile

15 rows · 15 tables · 2024 OpenFactBook 0 1 2 3 92 SEL 532 ext ▶

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0 Admin 0 — 15 table(s)

SDN OpenFactBook - Communications — 1 rows, 21 columns

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

Standards-Aligned Fields (7)

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_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

Extension Fields (15) — 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	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_country_code_text`	Internet country code text	string	0%	1	.sd
`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

SDN OpenFactBook - Economy — 1 rows, 138 columns

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Field details — 143 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Extension Fields (138) — 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 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.

SDN OpenFactBook - Energy — 1 rows, 41 columns

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Field details — 41 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	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

Extension Fields (37) — 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	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.

SDN OpenFactBook - Environment — 1 rows, 50 columns

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Field details — 53 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	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

Extension Fields (45) — 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-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.

SDN OpenFactBook - Ethnic Groups — 1 rows, 8 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	SDN
`country_name`	Country name	string	SEL	0%	1	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	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

SDN OpenFactBook - Geography — 1 rows, 59 columns

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Field details — 62 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

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

Extension Fields (49) — supplemental data preserved outside core SEL/CCL schema

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.

SDN OpenFactBook - Government — 1 rows, 63 columns

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Field details — 85 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	SDN
`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
`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.

SDN OpenFactBook - Introduction — 1 rows, 6 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	SDN
`country_name`	Country name	string	SEL	0%	1	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	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

SDN OpenFactBook - Languages — 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	SDN
`country_name`	Country name	string	SEL	0%	1	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	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

SDN OpenFactBook - Migration — 1 rows, 10 columns

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Field details — 11 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	SDN
`country_name`	Country name	string	SEL	0%	1	Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (8) — 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	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

SDN OpenFactBook - Military And Security — 1 rows, 21 columns

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Field details — 26 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	SDN
`country_name`	Country name	string	SEL	0%	1	Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (23) — 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	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

SDN OpenFactBook - People And Society — 1 rows, 101 columns

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Field details — 114 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

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

Extension Fields (86) — supplemental data preserved outside core SEL/CCL schema

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.

SDN OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 20 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	SDN
`country_name`	Country name	string	SEL	0%	1	Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

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

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

Pending (14) — awaiting mapping

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%	-	-

SDN OpenFactBook - Terrorism — 1 rows, 6 columns

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Field details — 6 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	SDN
`country_name`	Country name	string	SEL	0%	1	Sudan
`admin_level`	Admin level	string	SEL	0%	1	national

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

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

SDN OpenFactBook - Transportation — 1 rows, 31 columns

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Field details — 32 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`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

Extension Fields (28) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	ST
`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

SDN USAID DHS Program SDN-DHS Health Surveys

6 rows · 1 table · 1990 USAID DHS Program 0 1 2 3 3 SEL 5 ext ▶

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

1 Admin 1 — 1 table(s)

SDN DHS - Health Indicators — 6 rows, 8 columns

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

Standards-Aligned Fields (3)

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

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

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

SDN INFORM Risk Index (EC-JRC) SDN-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 293 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

SDN Inform - Risk Index — 1 rows, 293 columns

Loading data…

Field details — 293 fields (type, nulls, unique, samples)

Pending (293) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	SDN
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	759980.0
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.171428571428571
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	1.50150253978923
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	2376000.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.125
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.336124421922046
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	6.8
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	1.81187009811401
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	7.7
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	7.0
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	8.1
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	10.0
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	10.0
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	10.0
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	10.0
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	10.0
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	2.8
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	9.4
`inform_cc_inf_com`	Communication	float	0%	1	6.0
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	6.7
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	3.4
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	6.9
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	7.1
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	6.9
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	7.0
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.9
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	3.8
`inform_institutional_capacity`	Institutional	float	0%	1	8.3
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	7.9
+263 more pending 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)	13,594	90.5%	Arabic
English (eng)	1,286	8.6%	—
Russian (rus)	134	0.9%	Cyrillic
+ 1 further language (1 names, each under 0.05%)

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download