5 further sources (Afrobarometer, Ethnic Power Relations Dataset, GI-TOC / ENACT, Global Data Lab, World Values Survey) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
location_code |
location_code | integer | SEL | 0% | 100 | 314, 301, 322, 323, 315 |
location_name |
location_name | string | SEL | 0% | 100 | ABIM, ADJUMANI, AGAGO, ALEBTONG, AMOLATAR |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
population_by_sex__male |
population_by_sex__male | integer | SEL | 0% | 100 | 67976, 144413, 147969, 127112, 91066 |
population_by_sex__female |
population_by_sex__female | integer | SEL | 0% | 100 | 76108, 153481, 159266, 156397, 97649 |
population_by_sex__total |
population_by_sex__total | integer | SEL | 0% | 100 | 144084, 297894, 307235, 283509, 188715 |
household_size__households |
household_size__households | integer | SEL | 0% | 100 | 39942, 54103, 67760, 59384, 39948 |
household_size__average_household_size |
household_size__average_household_size | float | SEL | 0% | 24 | 3.6, 5.4, 4.5, 4.7, 4.7 |
age_groups__age_15_24 |
age_groups__age_15_24 | integer | SEL | 0% | 100 | 32777, 72053, 69448, 62413, 42529 |
age_groups__age_18_plus |
age_groups__age_18_plus | integer | SEL | 0% | 100 | 70438, 134609, 143877, 145399, 92458 |
age_groups__age_60_plus |
age_groups__age_60_plus | integer | SEL | 0% | 100 | 6167, 11837, 15600, 16285, 9346 |
age_groups__age_65_plus |
age_groups__age_65_plus | integer | SEL | 0% | 100 | 4391, 8227, 10900, 11133, 6572 |
ict_devices__computer |
ict_devices__computer | integer | SEL | 0% | 96 | 943, 1617, 1315, 868, 829 |
unemployment_neet__unemployment_15_plus_number |
unemployment_neet__unemployment_15_plus_number | integer | SEL | 0% | 98 | 4551, 7914, 5181, 4874, 3863 |
unemployment_neet__unemployment_15_plus_percent |
unemployment_neet__unemployment_15_plus_percent | float | SEL | 0% | 73 | 16.5, 22.8, 9.3, 8.6, 11.1 |
unemployment_neet__neet_15_24_number |
unemployment_neet__neet_15_24_number | integer | SEL | 0% | 100 | 15373, 29626, 30432, 29438, 20554 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_code_is_valid |
location_code_is_valid | boolean | 0% | 1 | True, True, True, True, True |
ubos_tier |
ubos_tier | string | 0% | 1 | District, District, District, District, District |
household_size__household_population |
household_size__household_population | integer | 0% | 100 | 143047, 292844, 305491, 282060, 187442 |
age_groups__age_0_4 |
age_groups__age_0_4 | integer | 0% | 100 | 23539, 45002, 48002, 40681, 29412 |
age_groups__age_0_17 |
age_groups__age_0_17 | integer | 0% | 100 | 73646, 163285, 163358, 138110, 96257 |
age_groups__age_6_12 |
age_groups__age_6_12 | integer | 0% | 100 | 27692, 63964, 63059, 52009, 36430 |
age_groups__age_13_18 |
age_groups__age_13_18 | integer | 0% | 100 | 20541, 52105, 49367, 43864, 29071 |
age_groups__age_14_64 |
age_groups__age_14_64 | integer | 0% | 100 | 79938, 161286, 166232, 163499, 105317 |
age_groups__age_15_plus |
age_groups__age_15_plus | integer | 0% | 100 | 80577, 160449, 168774, 167644, 106960 |
age_groups__age_18_30 |
age_groups__age_18_30 | integer | 0% | 100 | 38009, 70315, 71053, 65805, 45552 |
age_groups__age_80_plus |
age_groups__age_80_plus | integer | 0% | 98 | 1599, 2349, 4150, 3235, 2467 |
birth_registration__registered_with_certificate |
birth_registration__registered_with_certificate | integer | 0% | 100 | 17842, 19369, 32975, 31086, 17432 |
birth_registration__registered_with_notification |
birth_registration__registered_with_notification | integer | 0% | 100 | 60596, 80129, 102898, 101902, 63497 |
birth_registration__none_registered |
birth_registration__none_registered | integer | 0% | 100 | 64609, 193346, 169618, 149072, 106513 |
birth_registration__household_population |
birth_registration__household_population | integer | 0% | 100 | 143047, 292844, 305491, 282060, 187442 |
mobile_phone_ownership__male |
mobile_phone_ownership__male | integer | 0% | 97 | 3754, 6629, 6595, 3244, 3184 |
mobile_phone_ownership__female |
mobile_phone_ownership__female | integer | 0% | 100 | 1956, 4103, 2147, 1230, 1196 |
mobile_phone_ownership__total |
mobile_phone_ownership__total | integer | 0% | 99 | 5710, 10732, 8742, 4474, 4380 |
internet_usage__male |
internet_usage__male | integer | 0% | 97 | 3754, 6629, 6595, 3244, 3184 |
internet_usage__female |
internet_usage__female | integer | 0% | 100 | 1956, 4103, 2147, 1230, 1196 |
internet_usage__total |
internet_usage__total | integer | 0% | 99 | 5710, 10732, 8742, 4474, 4380 |
ict_devices__radio |
ict_devices__radio | integer | 0% | 100 | 8407, 13695, 16620, 25270, 20149 |
ict_devices__television |
ict_devices__television | integer | 0% | 100 | 1824, 3716, 3086, 2294, 2617 |
information_sources__radio |
information_sources__radio | integer | 0% | 100 | 7710, 15208, 16831, 25444, 22379 |
information_sources__word_of_mouth |
information_sources__word_of_mouth | integer | 0% | 100 | 12760, 10417, 19308, 16507, 7474 |
information_sources__phone_calls |
information_sources__phone_calls | integer | 0% | 98 | 6832, 16740, 11724, 11520, 7264 |
information_sources__tv |
information_sources__tv | integer | 0% | 100 | 413, 570, 506, 148, 318 |
information_sources__community_meetings |
information_sources__community_meetings | integer | 0% | 99 | 5969, 5543, 10238, 2904, 964 |
information_sources__internet_social_media |
information_sources__internet_social_media | integer | 0% | 95 | 517, 385, 506, 122, 129 |
information_sources__community_announcer |
information_sources__community_announcer | integer | 0% | 98 | 5688, 5194, 8559, 2693, 1370 |
| +37 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
location_code |
location_code | integer | SEL | 0% | 100 | 3011, 3012, 3221, 3222, 3223 |
location_name |
location_name | string | SEL | 0% | 99 | ADJUMANI EAST COUNTY, ADJUMANI WEST COUNTY, AGAGO... |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_3, admin_3, admin_3, admin_3, admin_3 |
population_by_sex__male |
population_by_sex__male | integer | SEL | 0% | 100 | 87302, 57111, 49312, 68570, 30087 |
population_by_sex__female |
population_by_sex__female | integer | SEL | 0% | 100 | 91506, 61975, 53408, 72560, 33298 |
population_by_sex__total |
population_by_sex__total | integer | SEL | 0% | 100 | 178808, 119086, 102720, 141130, 63385 |
household_size__households |
household_size__households | integer | SEL | 0% | 100 | 31278, 22825, 22812, 30823, 14125 |
household_size__average_household_size |
household_size__average_household_size | float | SEL | 0% | 29 | 5.6, 5.2, 4.5, 4.5, 4.5 |
age_groups__age_15_24 |
age_groups__age_15_24 | integer | SEL | 0% | 100 | 42895, 29158, 23303, 32156, 13989 |
age_groups__age_18_plus |
age_groups__age_18_plus | integer | SEL | 0% | 100 | 78142, 56467, 48290, 66819, 28768 |
age_groups__age_60_plus |
age_groups__age_60_plus | integer | SEL | 0% | 100 | 7153, 4684, 4979, 7261, 3360 |
age_groups__age_65_plus |
age_groups__age_65_plus | integer | SEL | 0% | 99 | 5051, 3176, 3397, 5178, 2325 |
ict_devices__computer |
ict_devices__computer | integer | SEL | 0% | 93 | 515, 1102, 440, 668, 207 |
unemployment_neet__unemployment_15_plus_number |
unemployment_neet__unemployment_15_plus_number | integer | SEL | 0% | 99 | 4317, 3597, 1836, 2305, 1040 |
unemployment_neet__unemployment_15_plus_percent |
unemployment_neet__unemployment_15_plus_percent | float | SEL | 0% | 83 | 25.2, 20.5, 9.5, 8.5, 11.5 |
unemployment_neet__neet_15_24_number |
unemployment_neet__neet_15_24_number | integer | SEL | 0% | 100 | 18127, 11499, 9881, 14013, 6538 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_code_is_valid |
location_code_is_valid | boolean | 0% | 2 | True, True, True, True, True |
ubos_tier |
ubos_tier | string | 0% | 1 | County, County, County, County, County |
household_size__household_population |
household_size__household_population | integer | 0% | 100 | 175070, 117774, 102329, 140009, 63153 |
age_groups__age_0_4 |
age_groups__age_0_4 | integer | 0% | 99 | 27500, 17502, 15901, 22156, 9945 |
age_groups__age_0_17 |
age_groups__age_0_17 | integer | 0% | 100 | 100666, 62619, 54430, 74311, 34617 |
age_groups__age_6_12 |
age_groups__age_6_12 | integer | 0% | 100 | 39541, 24423, 21105, 28389, 13565 |
age_groups__age_13_18 |
age_groups__age_13_18 | integer | 0% | 99 | 32045, 20060, 16439, 22479, 10449 |
age_groups__age_14_64 |
age_groups__age_14_64 | integer | 0% | 100 | 94600, 66686, 55934, 76834, 33464 |
age_groups__age_15_plus |
age_groups__age_15_plus | integer | 0% | 100 | 93955, 66494, 56605, 78153, 34016 |
age_groups__age_18_30 |
age_groups__age_18_30 | integer | 0% | 100 | 40538, 29777, 23901, 33391, 13761 |
age_groups__age_80_plus |
age_groups__age_80_plus | integer | 0% | 100 | 1438, 911, 1057, 2291, 802 |
birth_registration__registered_with_certificate |
birth_registration__registered_with_certificate | integer | 0% | 100 | 11166, 8203, 10534, 14974, 7467 |
birth_registration__registered_with_notification |
birth_registration__registered_with_notification | integer | 0% | 100 | 45792, 34337, 39190, 47568, 16140 |
birth_registration__none_registered |
birth_registration__none_registered | integer | 0% | 100 | 118112, 75234, 52605, 77467, 39546 |
birth_registration__household_population |
birth_registration__household_population | integer | 0% | 100 | 175070, 117774, 102329, 140009, 63153 |
mobile_phone_ownership__male |
mobile_phone_ownership__male | integer | 0% | 97 | 2949, 3680, 2346, 3164, 1085 |
mobile_phone_ownership__female |
mobile_phone_ownership__female | integer | 0% | 98 | 1473, 2630, 787, 1097, 263 |
mobile_phone_ownership__total |
mobile_phone_ownership__total | integer | 0% | 100 | 4422, 6310, 3133, 4261, 1348 |
internet_usage__male |
internet_usage__male | integer | 0% | 97 | 2949, 3680, 2346, 3164, 1085 |
internet_usage__female |
internet_usage__female | integer | 0% | 98 | 1473, 2630, 787, 1097, 263 |
internet_usage__total |
internet_usage__total | integer | 0% | 100 | 4422, 6310, 3133, 4261, 1348 |
ict_devices__radio |
ict_devices__radio | integer | 0% | 100 | 6320, 7375, 5826, 7290, 3504 |
ict_devices__television |
ict_devices__television | integer | 0% | 100 | 1144, 2572, 1195, 1403, 488 |
information_sources__radio |
information_sources__radio | integer | 0% | 100 | 7617, 7591, 5527, 7336, 3968 |
information_sources__word_of_mouth |
information_sources__word_of_mouth | integer | 0% | 100 | 6376, 4041, 6687, 9226, 3395 |
information_sources__phone_calls |
information_sources__phone_calls | integer | 0% | 100 | 9779, 6961, 4400, 5055, 2269 |
information_sources__tv |
information_sources__tv | integer | 0% | 99 | 113, 457, 205, 251, 50 |
information_sources__community_meetings |
information_sources__community_meetings | integer | 0% | 99 | 3944, 1599, 3402, 4924, 1912 |
information_sources__internet_social_media |
information_sources__internet_social_media | integer | 0% | 89 | 172, 213, 150, 298, 58 |
information_sources__community_announcer |
information_sources__community_announcer | integer | 0% | 96 | 3251, 1943, 2426, 3675, 2458 |
| +37 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
location_code |
location_code | integer | SEL | 0% | 100 | 323101, 330101, 216101, 315201, 321109 |
location_name |
location_name | string | SEL | 0% | 98 | ABAKO, ABANGA, ABARILELA, ABEJA, ABER |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_4, admin_4, admin_4, admin_4, admin_4 |
population_by_sex__male |
population_by_sex__male | integer | SEL | 0% | 100 | 16342, 9044, 14796, 4926, 20043 |
population_by_sex__female |
population_by_sex__female | integer | SEL | 0% | 100 | 20347, 10410, 16630, 5198, 22377 |
population_by_sex__total |
population_by_sex__total | integer | SEL | 0% | 100 | 36689, 19454, 31426, 10124, 42420 |
household_size__households |
household_size__households | integer | SEL | 0% | 100 | 7476, 4520, 6467, 2116, 9710 |
household_size__average_household_size |
household_size__average_household_size | float | SEL | 0% | 22 | 4.9, 4.3, 4.8, 4.8, 4.4 |
age_groups__age_15_24 |
age_groups__age_15_24 | integer | SEL | 0% | 100 | 8086, 3816, 6949, 2080, 9932 |
age_groups__age_18_plus |
age_groups__age_18_plus | integer | SEL | 0% | 99 | 18887, 9025, 14177, 4983, 21465 |
age_groups__age_60_plus |
age_groups__age_60_plus | integer | SEL | 0% | 97 | 2043, 1204, 1592, 830, 2051 |
age_groups__age_65_plus |
age_groups__age_65_plus | integer | SEL | 0% | 96 | 1370, 820, 1117, 649, 1400 |
ict_devices__computer |
ict_devices__computer | integer | SEL | 0% | 67 | 115, 43, 60, 15, 147 |
unemployment_neet__unemployment_15_plus_number |
unemployment_neet__unemployment_15_plus_number | integer | SEL | 0% | 91 | 437, 526, 467, 68, 1285 |
unemployment_neet__unemployment_15_plus_percent |
unemployment_neet__unemployment_15_plus_percent | float | SEL | 0% | 83 | 6.2, 15.6, 9.2, 2.4, 17.7 |
unemployment_neet__neet_15_24_number |
unemployment_neet__neet_15_24_number | integer | SEL | 0% | 99 | 4030, 2236, 3428, 698, 5585 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_code_is_valid |
location_code_is_valid | boolean | 0% | 1 | True, True, True, True, True |
ubos_tier |
ubos_tier | string | 0% | 1 | Subcounty, Subcounty, Subcounty, Subcounty, Subcounty |
household_size__household_population |
household_size__household_population | integer | 0% | 99 | 36506, 19440, 31235, 10122, 42385 |
age_groups__age_0_4 |
age_groups__age_0_4 | integer | 0% | 99 | 5280, 3086, 5635, 1521, 6432 |
age_groups__age_0_17 |
age_groups__age_0_17 | integer | 0% | 99 | 17802, 10429, 17249, 5141, 20955 |
age_groups__age_6_12 |
age_groups__age_6_12 | integer | 0% | 99 | 6736, 4203, 6466, 1989, 7886 |
age_groups__age_13_18 |
age_groups__age_13_18 | integer | 0% | 98 | 5573, 2887, 4712, 1550, 6567 |
age_groups__age_14_64 |
age_groups__age_14_64 | integer | 0% | 99 | 21232, 10138, 16235, 5373, 24371 |
age_groups__age_15_plus |
age_groups__age_15_plus | integer | 0% | 100 | 21704, 10418, 16514, 5724, 24722 |
age_groups__age_18_30 |
age_groups__age_18_30 | integer | 0% | 99 | 8676, 3898, 7272, 2137, 10754 |
age_groups__age_80_plus |
age_groups__age_80_plus | integer | 0% | 84 | 375, 175, 419, 424, 455 |
birth_registration__registered_with_certificate |
birth_registration__registered_with_certificate | integer | 0% | 97 | 6306, 682, 1581, 2270, 7344 |
birth_registration__registered_with_notification |
birth_registration__registered_with_notification | integer | 0% | 100 | 11385, 7552, 19265, 3101, 19031 |
birth_registration__none_registered |
birth_registration__none_registered | integer | 0% | 100 | 18815, 11206, 10389, 4751, 16010 |
birth_registration__household_population |
birth_registration__household_population | integer | 0% | 99 | 36506, 19440, 31235, 10122, 42385 |
mobile_phone_ownership__male |
mobile_phone_ownership__male | integer | 0% | 90 | 421, 231, 386, 120, 680 |
mobile_phone_ownership__female |
mobile_phone_ownership__female | integer | 0% | 76 | 199, 29, 124, 33, 278 |
mobile_phone_ownership__total |
mobile_phone_ownership__total | integer | 0% | 94 | 620, 260, 510, 153, 958 |
internet_usage__male |
internet_usage__male | integer | 0% | 90 | 421, 231, 386, 120, 680 |
internet_usage__female |
internet_usage__female | integer | 0% | 76 | 199, 29, 124, 33, 278 |
internet_usage__total |
internet_usage__total | integer | 0% | 94 | 620, 260, 510, 153, 958 |
ict_devices__radio |
ict_devices__radio | integer | 0% | 98 | 3409, 990, 1872, 1071, 3933 |
ict_devices__television |
ict_devices__television | integer | 0% | 87 | 286, 104, 157, 69, 579 |
information_sources__radio |
information_sources__radio | integer | 0% | 99 | 3298, 1427, 1602, 1184, 4612 |
information_sources__word_of_mouth |
information_sources__word_of_mouth | integer | 0% | 98 | 1841, 1724, 3018, 487, 1909 |
information_sources__phone_calls |
information_sources__phone_calls | integer | 0% | 96 | 1486, 1050, 1398, 342, 1910 |
information_sources__tv |
information_sources__tv | integer | 0% | 39 | 39, 12, 8, 4, 86 |
information_sources__community_meetings |
information_sources__community_meetings | integer | 0% | 89 | 400, 63, 234, 17, 510 |
information_sources__internet_social_media |
information_sources__internet_social_media | integer | 0% | 31 | 32, 1, 19, 0, 33 |
information_sources__community_announcer |
information_sources__community_announcer | integer | 0% | 91 | 365, 233, 187, 81, 642 |
| +37 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
location_code |
location_code | integer | SEL | 0% | 100 | 30610401, 20810301, 20730101, 20820701, 20810302 |
location_name |
location_name | string | SEL | 0% | 91 | 405 BRIGADE, AACHA, AAKUM, AAKUM, AARAMOR |
admin_level |
admin_level | string | SEL | 0% | 1 | admin_5, admin_5, admin_5, admin_5, admin_5 |
population_by_sex__male |
population_by_sex__male | integer | SEL | 0% | 97 | 108, 352, 1638, 1483, 265 |
population_by_sex__female |
population_by_sex__female | integer | SEL | 0% | 98 | 153, 417, 1680, 1660, 318 |
population_by_sex__total |
population_by_sex__total | integer | SEL | 0% | 100 | 261, 769, 3318, 3143, 583 |
household_size__households |
household_size__households | integer | SEL | 0% | 98 | 54, 148, 611, 673, 142 |
household_size__average_household_size |
household_size__average_household_size | float | SEL | 0% | 23 | 4.8, 5.2, 5.4, 4.7, 4.1 |
age_groups__age_15_24 |
age_groups__age_15_24 | integer | SEL | 0% | 96 | 36, 162, 756, 652, 129 |
age_groups__age_18_plus |
age_groups__age_18_plus | integer | SEL | 0% | 99 | 104, 337, 1567, 1483, 257 |
age_groups__age_60_plus |
age_groups__age_60_plus | integer | SEL | 0% | 86 | 9, 38, 175, 226, 31 |
age_groups__age_65_plus |
age_groups__age_65_plus | integer | SEL | 0% | 79 | 7, 23, 123, 154, 18 |
ict_devices__computer |
ict_devices__computer | integer | SEL | 0% | 31 | 0, 0, 8, 6, 0 |
unemployment_neet__unemployment_15_plus_number |
unemployment_neet__unemployment_15_plus_number | integer | SEL | 0% | 74 | 10, 63, 79, 84, 10 |
unemployment_neet__unemployment_15_plus_percent |
unemployment_neet__unemployment_15_plus_percent | float | SEL | 0% | 78 | 17.2, 44.4, 16.8, 18.6, 27.8 |
unemployment_neet__neet_15_24_number |
unemployment_neet__neet_15_24_number | integer | SEL | 0% | 95 | 17, 86, 409, 296, 59 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_code_is_valid |
location_code_is_valid | boolean | 0% | 1 | True, True, True, True, True |
ubos_tier |
ubos_tier | string | 0% | 1 | Parish, Parish, Parish, Parish, Parish |
household_size__household_population |
household_size__household_population | integer | 0% | 99 | 261, 769, 3317, 3143, 583 |
age_groups__age_0_4 |
age_groups__age_0_4 | integer | 0% | 95 | 60, 136, 565, 509, 93 |
age_groups__age_0_17 |
age_groups__age_0_17 | integer | 0% | 99 | 157, 432, 1751, 1660, 326 |
age_groups__age_6_12 |
age_groups__age_6_12 | integer | 0% | 96 | 62, 187, 645, 643, 129 |
age_groups__age_13_18 |
age_groups__age_13_18 | integer | 0% | 97 | 29, 117, 516, 470, 92 |
age_groups__age_14_64 |
age_groups__age_14_64 | integer | 0% | 99 | 117, 387, 1797, 1672, 298 |
age_groups__age_15_plus |
age_groups__age_15_plus | integer | 0% | 98 | 116, 392, 1831, 1727, 302 |
age_groups__age_18_30 |
age_groups__age_18_30 | integer | 0% | 98 | 46, 155, 782, 658, 119 |
age_groups__age_80_plus |
age_groups__age_80_plus | integer | 0% | 59 | 0, 10, 30, 51, 5 |
birth_registration__registered_with_certificate |
birth_registration__registered_with_certificate | integer | 0% | 92 | 4, 102, 79, 288, 3 |
birth_registration__registered_with_notification |
birth_registration__registered_with_notification | integer | 0% | 98 | 124, 319, 799, 1026, 308 |
birth_registration__none_registered |
birth_registration__none_registered | integer | 0% | 99 | 133, 348, 2439, 1829, 272 |
birth_registration__household_population |
birth_registration__household_population | integer | 0% | 99 | 261, 769, 3317, 3143, 583 |
mobile_phone_ownership__male |
mobile_phone_ownership__male | integer | 0% | 66 | 0, 19, 52, 27, 6 |
mobile_phone_ownership__female |
mobile_phone_ownership__female | integer | 0% | 46 | 0, 5, 20, 16, 4 |
mobile_phone_ownership__total |
mobile_phone_ownership__total | integer | 0% | 77 | 0, 24, 72, 43, 10 |
internet_usage__male |
internet_usage__male | integer | 0% | 66 | 0, 19, 52, 27, 6 |
internet_usage__female |
internet_usage__female | integer | 0% | 46 | 0, 5, 20, 16, 4 |
internet_usage__total |
internet_usage__total | integer | 0% | 77 | 0, 24, 72, 43, 10 |
ict_devices__radio |
ict_devices__radio | integer | 0% | 91 | 3, 39, 204, 226, 30 |
ict_devices__television |
ict_devices__television | integer | 0% | 60 | 0, 5, 18, 10, 4 |
information_sources__radio |
information_sources__radio | integer | 0% | 92 | 17, 42, 241, 304, 20 |
information_sources__word_of_mouth |
information_sources__word_of_mouth | integer | 0% | 93 | 29, 34, 236, 199, 103 |
information_sources__phone_calls |
information_sources__phone_calls | integer | 0% | 86 | 8, 25, 42, 70, 18 |
information_sources__tv |
information_sources__tv | integer | 0% | 22 | 0, 1, 1, 2, 0 |
information_sources__community_meetings |
information_sources__community_meetings | integer | 0% | 57 | 0, 14, 84, 46, 0 |
information_sources__internet_social_media |
information_sources__internet_social_media | integer | 0% | 14 | 0, 2, 4, 0, 1 |
information_sources__community_announcer |
information_sources__community_announcer | integer | 0% | 49 | 0, 30, 3, 52, 0 |
| +37 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UG, UG, UG, UG, UG |
population_count |
Population count | float | SEL | 2% | 65 | 7640973.0, 7862217.0, 8092231.0, 8333663.0, 8586363.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 45.633, 46.271, 46.821, 47.378, 47.846 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 55.3784976132181, 56.1759278091596, 55.5048704604887,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 88% | 8 | 56.1100006103516, 68.1399993896484, 71.370002746582,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 223.3, 219.4, 215.8, 212.5, 209.2 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 86% | 9 | 56.4, 44.4, 33.8, 38.8, 31.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Uganda, Uganda, Uganda, Uganda, Uganda |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UG, UG, UG, UG, UG |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 45.633, 46.271, 46.821, 47.378, 47.846 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 11% | 57 | 59.8, 58.7, 57.6, 56.4, 55.2 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 223.3, 219.4, 215.8, 212.5, 209.2 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 842.0, 781.0, 709.0, 655.0, 609.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.905, 6.927, 6.959, 6.984, 7.012 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 62 | 48.586, 48.215, 47.989, 47.825, 47.745 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 19.129, 18.593, 18.144, 17.72, 17.379 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 74% | 15 | 0.074, 0.09, 0.108, 0.108, 0.047 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 88% | 8 | 1.4807984828949, 1.55869996547699, 1.64849996566772,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 32 | 9.0, 12.0, 14.0, 14.0, 14.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 5.0827775, 5.05208397, 4.77136898, 4.2991581, 4.70022202 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Uganda, Uganda, Uganda, Uganda, Uganda |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | UGA, UGA, UGA, UGA, UGA |
country_name |
country_name | string | 0% | 1 | Uganda, Uganda, Uganda, Uganda, Uganda |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 560570.0, 666211.0, 624296.0, 637596.0, 515055.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 7 | 3.2, 3.2, 2.6, 2.3, 1.6 |
net_migration |
net_migration | float | 0% | 65 | -7586.0, -7893.0, -6470.0, -3058.0, -3169.0 |
remittances_received_usd |
remittances_received_usd | float | 61% | 26 | 232600000.0, 238100000.0, 348574793.62321,... |
remittances_received_pct_gdp |
remittances_received_pct_gdp | float | 61% | 26 | 3.87759518401116, 3.84451009725314, 5.96823153396514,... |
remittances_paid_usd |
remittances_paid_usd | float | 58% | 28 | 4099999.905, 500000.0, 229300000.0, 353000000.0, 354682787.235142 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | UG |
region_name |
Region name | string | SEL | 0% | 1 | Uganda |
F_TL |
Female population | integer | SEL | 0% | 1 | 23714926 |
M_TL |
Male population | integer | SEL | 0% | 1 | 22495832 |
T_TL |
Total population | integer | SEL | 0% | 1 | 46210758 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2023 |
year |
year | integer | 0% | 1 | 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 4274083 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 3577713 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 3003324 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 2668456 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 2165948 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 1839832 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 1540185 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 1177866 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 875733 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 684354 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 535370 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 414044 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 327937 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 227795 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 173360 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 121134 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 107792 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 4384548 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 3689083 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 3066259 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 2639546 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 1989818 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 1538841 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 1247979 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 986219 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 744005 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 602788 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 4 | UG1, UG2, UG3, UG4 |
region_name |
Region name | string | SEL | 0% | 4 | Central, Eastern, Northern, Western |
F_TL |
Female population | integer | SEL | 0% | 4 | 6602989, 6178323, 4917763, 6015851 |
M_TL |
Male population | integer | SEL | 0% | 4 | 6314680, 5845100, 4591619, 5744433 |
T_TL |
Total population | integer | SEL | 0% | 4 | 12917669, 12023423, 9509382, 11760284 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 4 | 1123133, 1161997, 878786, 1110167 |
F_05_09 |
Female population age 5-9 | integer | 0% | 4 | 894841, 987319, 797690, 897863 |
F_10_14 |
Female population age 10-14 | integer | 0% | 4 | 764751, 836947, 662054, 739572 |
F_15_19 |
Female population age 15-19 | integer | 0% | 4 | 759210, 698918, 557927, 652401 |
F_20_24 |
Female population age 20-24 | integer | 0% | 4 | 722559, 511882, 405050, 526457 |
F_25_29 |
Female population age 25-29 | integer | 0% | 4 | 622707, 404334, 355413, 457378 |
F_30_34 |
Female population age 30-34 | integer | 0% | 4 | 477874, 358747, 305094, 398470 |
F_35_39 |
Female population age 35-39 | integer | 0% | 4 | 354589, 284834, 232180, 306263 |
F_40_44 |
Female population age 40-44 | integer | 0% | 4 | 235466, 231800, 174390, 234077 |
F_45_49 |
Female population age 45-49 | integer | 0% | 4 | 178972, 181973, 143042, 180367 |
F_50_54 |
Female population age 50-54 | integer | 0% | 4 | 139669, 143164, 104309, 148228 |
F_55_59 |
Female population age 55-59 | integer | 0% | 4 | 105126, 108366, 88366, 112186 |
F_60_64 |
Female population age 60-64 | integer | 0% | 4 | 79273, 90167, 69775, 88722 |
F_65_69 |
Female population age 65-69 | integer | 0% | 4 | 47195, 58854, 64197, 57549 |
F_70_74 |
Female population age 70-74 | integer | 0% | 4 | 40948, 51632, 34264, 46516 |
F_75_79 |
Female population age 75-79 | integer | 0% | 4 | 28959, 36057, 26485, 29633 |
F_80Plus |
F_80Plus | integer | 0% | 4 | 27717, 31332, 18741, 30002 |
M_00_04 |
Male population age 0-4 | integer | 0% | 4 | 1176428, 1183931, 889381, 1134808 |
M_05_09 |
Male population age 5-9 | integer | 0% | 4 | 940390, 1016737, 806005, 925951 |
M_10_14 |
Male population age 10-14 | integer | 0% | 4 | 769696, 858175, 675366, 763022 |
M_15_19 |
Male population age 15-19 | integer | 0% | 4 | 698001, 714223, 568321, 659001 |
M_20_24 |
Male population age 20-24 | integer | 0% | 4 | 632774, 476036, 373824, 507184 |
M_25_29 |
Male population age 25-29 | integer | 0% | 4 | 532882, 323745, 286114, 396100 |
M_30_34 |
Male population age 30-34 | integer | 0% | 4 | 419181, 272342, 231883, 324573 |
M_35_39 |
Male population age 35-39 | integer | 0% | 4 | 329838, 220091, 184166, 252124 |
M_40_44 |
Male population age 40-44 | integer | 0% | 4 | 228519, 184985, 137090, 193411 |
M_45_49 |
Male population age 45-49 | integer | 0% | 4 | 178286, 153078, 116332, 155092 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | UG1001, UG1002, UG1003, UG1004, UG1005 |
region_name |
Region name | string | SEL | 0% | 100 | Buikwe, Bukomansimbi, Butambala, Buvuma, Gomba |
F_TL |
Female population | integer | SEL | 0% | 100 | 262652, 83534, 58087, 70586, 90919 |
M_TL |
Male population | integer | SEL | 0% | 100 | 252022, 81689, 57049, 81442, 95538 |
T_TL |
Total population | integer | SEL | 0% | 100 | 514674, 165223, 115136, 152028, 186457 |
| 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 | 2023, 2023, 2023, 2023, 2023 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 100 | 44534, 14345, 10384, 15390, 16771 |
F_05_09 |
Female population age 5-9 | integer | 0% | 100 | 38777, 13295, 9235, 10008, 14623 |
F_10_14 |
Female population age 10-14 | integer | 0% | 100 | 34278, 12202, 8528, 6556, 12835 |
F_15_19 |
Female population age 15-19 | integer | 0% | 100 | 30741, 8412, 6575, 5724, 8904 |
F_20_24 |
Female population age 20-24 | integer | 0% | 100 | 24825, 5600, 4242, 7034, 6607 |
F_25_29 |
Female population age 25-29 | integer | 0% | 100 | 20992, 4941, 3621, 6892, 5673 |
F_30_34 |
Female population age 30-34 | integer | 0% | 100 | 16719, 4758, 3213, 5896, 5372 |
F_35_39 |
Female population age 35-39 | integer | 0% | 100 | 13183, 4101, 2720, 4456, 4311 |
F_40_44 |
Female population age 40-44 | integer | 0% | 98 | 9626, 3359, 2120, 3246, 3565 |
F_45_49 |
Female population age 45-49 | integer | 0% | 99 | 7803, 2752, 1772, 2114, 2842 |
F_50_54 |
Female population age 50-54 | integer | 0% | 99 | 6603, 2454, 1567, 1421, 2536 |
F_55_59 |
Female population age 55-59 | integer | 0% | 99 | 4546, 2237, 1214, 706, 2140 |
F_60_64 |
Female population age 60-64 | integer | 0% | 98 | 3691, 1683, 993, 538, 1728 |
F_65_69 |
Female population age 65-69 | integer | 0% | 98 | 1957, 1052, 550, 212, 905 |
F_70_74 |
Female population age 70-74 | integer | 0% | 97 | 1935, 1035, 590, 185, 925 |
F_75_79 |
Female population age 75-79 | integer | 0% | 95 | 1148, 737, 407, 85, 599 |
F_80Plus |
F_80Plus | integer | 0% | 97 | 1294, 571, 356, 123, 583 |
M_00_04 |
Male population age 0-4 | integer | 0% | 100 | 46662, 15275, 11097, 16288, 18168 |
M_05_09 |
Male population age 5-9 | integer | 0% | 100 | 40599, 14530, 10256, 10422, 15615 |
M_10_14 |
Male population age 10-14 | integer | 0% | 100 | 34891, 13348, 9343, 6873, 14201 |
M_15_19 |
Male population age 15-19 | integer | 0% | 100 | 31179, 9475, 6828, 6680, 11124 |
M_20_24 |
Male population age 20-24 | integer | 0% | 100 | 22742, 5566, 4063, 7581, 7262 |
M_25_29 |
Male population age 25-29 | integer | 0% | 100 | 17810, 4114, 3078, 7847, 5571 |
M_30_34 |
Male population age 30-34 | integer | 0% | 100 | 13813, 3618, 2444, 7044, 4926 |
M_35_39 |
Male population age 35-39 | integer | 0% | 100 | 11085, 3375, 2258, 5720, 4152 |
M_40_44 |
Male population age 40-44 | integer | 0% | 98 | 8261, 2613, 1740, 4250, 3364 |
M_45_49 |
Male population age 45-49 | integer | 0% | 99 | 6906, 2389, 1448, 3017, 2870 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 61 | acol1236, adho1243, alur1250, amba1263, arin1244 |
name |
Name | string | CCL | 0% | 61 | Acoli, Adhola, Alur, Amba (Uganda), Aringa |
iso639_3 |
Iso639 3 | string | CCL | 5% | 58 | ach, adh, alz, rwm, luc |
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% | 9 | nilo1247, nilo1247, nilo1247, atla1278, cent2225 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 43 | sout2831, adho1242, adho1241, komo1265, lugb1241 |
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% | 11 | 3, 0, 4, 3, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 3% | 59 | 3.57738, 0.73235, 2.36213, 0.81206, 3.56143 |
longitude |
longitude | float | 3% | 59 | 32.5147, 34.0341, 31.0016, 30.0014, 31.3071 |
country_codes |
Country codes | string | 0% | 14 | ['SS', 'UG'], ['KE', 'UG'], ['CD', 'UG'], ['CD', 'UG'],... |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA, UGA |
society_id |
Society id | string | CCL | 0% | 16 | Ad42, Ad44, Ad45, Ad46, Ad48 |
society_name |
Society name | string | CCL | 0% | 16 | Haya, Konjo, Nyankole, Soga, Toro |
language_glottocode |
Language glottocode | string | CCL | 0% | 16 | haya1250, konz1239, nyan1307, soga1242, toor1238 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 9 | EA017:4; EA018:4; EA019:1; EA020:1; EA021:9; EA022:9;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 9 | EA006:1; EA007:8; EA008:5; EA009:5; EA023:8; EA025:15,... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 15 | EA001:0; EA002:0; EA003:2; EA004:3; EA005:5; EA028:5;... |
political_complexity |
Political complexity | string | CCL | 0% | 9 | EA032:2; EA033:3, EA032:2; EA033:1, EA032:2; EA033:4,... |
religion_importance |
Religion importance | string | CCL | 0% | 10 | EA034:2; EA112:NA, EA034:2; EA112:8, EA034:2; EA112:NA,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 5 | EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;... |
settlement_pattern |
settlement_pattern | string | CCL | 0% | 11 | EA030:5; EA031:4, EA030:5; EA031:NA, EA030:5; EA031:3,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Uganda, Uganda, Uganda, Uganda, Uganda |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 6 | -1.0, -1.0, 0.0, 1.0, 1.0 |
longitude |
longitude | float | 0% | 5 | 32.0, 30.0, 31.0, 33.0, 31.0 |
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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA, UGA |
society_id |
society_id | string | CCL | 0% | 16 | Ad42, Ad44, Ad45, Ad46, Ad48 |
society_name |
society_name | string | CCL | 0% | 16 | Haya, Konjo, Nyankole, Soga, Toro |
language_glottocode |
language_glottocode | string | CCL | 0% | 16 | haya1250, konz1239, nyan1307, soga1242, toor1238 |
language_name |
language_name | string | CCL | 0% | 1 | , , , , |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Uganda, Uganda, Uganda, Uganda, Uganda |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 6 | -1.0, -1.0, 0.0, 1.0, 1.0 |
longitude |
longitude | float | 0% | 5 | 32.0, 30.0, 31.0, 33.0, 31.0 |
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 | 6% | 2 | 2, 2, 2, 2, 3 |
jurisdictional_hierarchy_beyond_local_community |
jurisdictional_hierarchy_beyond_local_community | integer | 6% | 4 | 3, 1, 4, 3, 4 |
religion_high_gods |
religion_high_gods | integer | 25% | 2 | 2, 2, 2, 2, 2 |
trance_states |
trance_states | integer | 44% | 5 | 8, 6, 3, 6, 3 |
settlement_patterns |
settlement_patterns | integer | 6% | 5 | 5, 5, 5, 5, 5 |
mean_size_of_local_communities |
mean_size_of_local_communities | integer | 69% | 4 | 4, 3, 7, 3, 5 |
marital_residence_first_years |
marital_residence_first_years | integer | 6% | 3 | 8, 8, 8, 8, 8 |
residence_transfer_prevailing_pattern |
residence_transfer_prevailing_pattern | integer | 6% | 2 | 1, 1, 1, 1, 1 |
marital_residence_prevailing_pattern |
marital_residence_prevailing_pattern | integer | 6% | 2 | 8, 8, 8, 8, 8 |
residence_transfer_alternate |
residence_transfer_alternate | integer | 6% | 3 | 9, 9, 2, 9, 9 |
marital_residence_alternate |
marital_residence_alternate | integer | 6% | 3 | 11, 11, 6, 11, 11 |
largest_patrilineal_kin_group |
largest_patrilineal_kin_group | integer | 0% | 2 | 4, 4, 4, 4, 4 |
largest_patrilineal_exogamous_group |
largest_patrilineal_exogamous_group | integer | 0% | 3 | 4, 3, 3, 4, 4 |
largest_matrilineal_kin_group |
largest_matrilineal_kin_group | integer | 0% | 1 | 1, 1, 1, 1, 1 |
largest_matrilineal_exogamous_group |
largest_matrilineal_exogamous_group | integer | 0% | 1 | 1, 1, 1, 1, 1 |
cognatic_kin_groups |
cognatic_kin_groups | integer | 0% | 2 | 9, 9, 2, 9, 9 |
secondary_cognatic_kin_group |
secondary_cognatic_kin_group | integer | 0% | 1 | 9, 9, 9, 9, 9 |
kin_terms_for_cousins |
kin_terms_for_cousins | integer | 38% | 3 | 6, 5, 4, 6, 5 |
descent_major_type |
descent_major_type | integer | 0% | 2 | 1, 1, 7, 1, 1 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Uganda |
admin_code |
Admin code | string | SEL | 0% | 1 | 62106908B38903582654399 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 209008.3551 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 49120475 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 235.02 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 4 | Central Region, Eastern Region, Western Region, Northern Region |
admin_code |
Admin code | string | SEL | 0% | 4 | 17295835B48340970483027, 17295835B57878138064711,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 4 | 40587.1064, 31816.9498, 51354.8379, 85248.4499 |
pop_2024 |
Population count | integer | SEL | 0% | 4 | 13624446, 12812782, 12498182, 10181811 |
pop_density_2024 |
Population density | float | SEL | 0% | 4 | 335.68, 402.7, 243.37, 119.44 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA, UGA |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 25 | Kampala, Mbale City, Bukalasi, Jinja, Gulu |
admin_code |
Admin code | integer | SEL | 0% | 25 | 1711, 2444, 2514, 2134, 1618 |
area_sqkm |
Area sqkm | float | SEL | 0% | 25 | 804.5776, 106.284, 158.93, 72.5113, 47.6808 |
pop_2024 |
Population count | integer | SEL | 0% | 25 | 4875330, 358769, 334420, 246228, 211463 |
pop_density_2024 |
Population density | float | SEL | 0% | 25 | 6059.49, 3375.57, 2104.2, 3395.72, 4434.97 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 25 | 5177878, 380225, 374528, 245759, 205487 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 25 | 0.942, 0.944, 0.893, 1.002, 1.029 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 25 | Kampala, Mbale City, Bukalasi, Mbarara, Jinja |
country_code |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA, UGA |
population |
Population count | integer | SEL | 0% | 25 | 5177878, 380225, 374528, 285352, 245759 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 25 | 1711, 2444, 2514, 599, 2134 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Uganda, Uganda, Uganda, Uganda, Uganda |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 83.0 |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 15.0 |
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 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 116,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 116000.0 |
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 | 41.6 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 41.6 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 83 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | public broadcaster, Uganda Broadcasting Corporation... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 31.0 |
internet_country_code_text |
Internet country code text | string | 0% | 1 | .ug |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 15% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 44,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 44000.0 |
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/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 2900.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 53.652 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 20.3 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | low-income, primarily agrarian East African economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $144.137 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 | 144.137 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $135.803 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 | 135.803 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $128.923 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 | 128.923 |
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 | 6.1% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 6.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.3% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.3 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.6 |
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 | $2,900 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $2,800 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 2800.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $2,700 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 2700.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $53.652 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 3.3% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 3.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 5.4% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 5.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 7.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 7.2 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +123 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 47.1 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 47.1% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 72% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 72.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 35.9% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 35.9 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 1.452 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 1.452 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 4.254 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 4.254 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 400.349 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 400.349 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 23.289 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 23.289 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.116 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.116 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 2.6% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 2.6 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 2.6% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 2.6 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 86.6% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 86.6 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 8.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 8.2 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 19 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 19.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 100 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 100.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 19 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 19.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 799.999 million metric tons (2023 est.) |
| +11 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 71.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.1 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 26.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 5.41 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 7.045 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | draining of wetlands for agricultural use;... |
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 | Environmental Modification |
climate_text |
climate_text | string | 0% | 1 | tropical; generally rainy with two dry seasons (December... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 71.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 34.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 34.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 11% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 11.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 26.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 26.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 16% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 16.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 26.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 5.41% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 6.354 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 6.354 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | -398 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 | -398.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 6.354 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 | 6.354 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 31.3 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 31.3 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 7.045 million tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 24.1% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 24.1 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 328 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 328.0 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 50 million cubic meters (2022 est.) |
| +7 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | Ugandan(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Ugandan |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Baganda 16.5%, Banyankole 9.6%, Basoga 8.8%, Bakiga... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 16.5 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 241038.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 197100.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 43938.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 2729.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 0.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 5110.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 614.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 71.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.1 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 105.0 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | East-Central Africa, west of Kenya, east of the... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 1 00 N, 32 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 1.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 241,038 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 197,100 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 43,938 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly more than two times the size of Pennsylvania;... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 2,729 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Democratic Republic of the Congo 877 km; Kenya 814 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 877.0 |
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 | tropical; generally rainy with two dry seasons (December... |
terrain_text |
terrain_text | string | 0% | 1 | mostly plateau with rim of mountains |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Margherita Peak on Mount Stanley 5,110 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Albert Nile 614 m |
natural_resources_text |
natural_resources_text | string | 0% | 1 | copper, cobalt, hydropower, limestone, salt, arable land, gold |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 71.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 34.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 34.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 11% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 11.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 26.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 26.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 16% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 16.0 |
irrigated_land_text |
irrigated_land_text | string | 0% | 1 | 105 sq km (2013) |
major_lakes_area_sq_km_fresh_water_lake_s_text |
major_lakes_area_sq_km_fresh_water_lake_s_text | string | 0% | 1 | Lake Victoria (shared with Tanzania and Kenya) - 62,940... |
| +10 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Republic of Uganda |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Uganda |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name is derived from the Swahili word u, meaning... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Kampala |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 0 19 N, 32 33 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 0.0 |
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 is said to come from an African antelope, the impala |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 134 districts and 1 capital city*; Abim, Adjumani,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 134.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted 27 September 1995,... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 27.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National Assembly; passage requires at... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction; accepts ICCt jurisdiction |
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 or grandparent must be a native-born... |
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 | an aggregate of 20 years and continuously for the last 2... |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 20.0 |
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 Yoweri Kaguta MUSEVENI (since 26 January 1986) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 26.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister Robinah NABBANJA (since 14 June 2021) |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 14.0 |
executive_branch_cabinet_text |
executive_branch_cabinet_text | string | 0% | 1 | Cabinet appointed by the president from among elected... |
executive_branch_election_appointment_process_text |
executive_branch_election_appointment_process_text | string | 0% | 1 | president directly elected by absolute-majority popular... |
| +69 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | An ancient crossroads for various migrations, Uganda has... |
background_numeric |
background_numeric | float | 0% | 1 | 65.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | English (official), Ganda or Luganda (most widely used... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 1,796,597 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 1796597.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 22,209 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 22209.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 10,284 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 10284.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | Uganda People's Defense Force (UPDF): Land Force... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
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 | 2.2% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.2 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.5% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.5 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.5 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 1.7% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 1.7 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 45,000 active Defense Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 45000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | most of the UPDF's arms are of Russian/Soviet origin... |
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 | 18-22 years of age for voluntary military duty for men... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | estimated 3,000 Democratic Republic of Congo; up to... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 3000.0 |
military_note_text |
military_note_text | string | 0% | 1 | the responsibilities of the Uganda People's Defense... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1895.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 50863850.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 24835513.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 26028337.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 47.0 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 50.6 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 2.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 96.9 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 92.1 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 4.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 16.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 3.13 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 38.91 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.61 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -2.96 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 26.8 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 5.41 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.95 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 170.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 27.5 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 69.7 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 5.08 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.5 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.19 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 69.1 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 50,863,850 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 24,835,513 |
population_female_text |
population_female_text | string | 0% | 1 | 26,028,337 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 47% (male 11,747,745/female 11,427,932) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 50.6% (male 11,788,483/female 13,131,051) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 2.4% (2024 est.) (male 504,332/female 683,498) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 96.9 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 92.1 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 4.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 20.8 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 20.8 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 16.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 15.5 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 15.5 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 17.1 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 17.1 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 3.13% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 38.91 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.61 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -2.96 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population density is relatively high in comparison to... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 26.8% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 5.41% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.846 million KAMPALA (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.846 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 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 | 0.9 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.9 |
| +92 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 13.7 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.6 |
composition_ethnicity_primary_label_synth |
other | string | CCL | 0% | - | other |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 45.1% (Anglican 32.0%, Pentecostal/Born... |
religions_numeric |
religions_numeric | float | 0% | 1 | 45.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 45.1 |
composition_religion_protestant__anglican_pct_synth |
Anglican | numeric | 0% | - | 32.0 |
composition_religion_protestant__pentecostal_born_again_evangelical_pct_synth |
Pentecostal/Born Again/Evangelical | numeric | 0% | - | 11.1 |
composition_religion_protestant__seventh_day_adventist_pct_synth |
Seventh Day Adventist | numeric | 0% | - | 1.7 |
composition_religion_protestant__baptist_pct_synth |
Baptist | numeric | 0% | - | 0.3 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 39.3 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 0.2 |
composition_ethnicity_baganda_pct_synth |
Baganda | numeric | 0% | - | 16.5 |
composition_ethnicity_banyankole_pct_synth |
Banyankole | numeric | 0% | - | 9.6 |
composition_ethnicity_basoga_pct_synth |
Basoga | numeric | 0% | - | 8.8 |
composition_ethnicity_bakiga_pct_synth |
Bakiga | numeric | 0% | - | 7.1 |
composition_ethnicity_iteso_pct_synth |
Iteso | numeric | 0% | - | 7.0 |
composition_ethnicity_langi_pct_synth |
Langi | numeric | 0% | - | 6.3 |
composition_ethnicity_bagisu_pct_synth |
Bagisu | numeric | 0% | - | 4.9 |
composition_ethnicity_acholi_pct_synth |
Acholi | numeric | 0% | - | 4.4 |
composition_ethnicity_lugbara_pct_synth |
Lugbara | numeric | 0% | - | 3.3 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 32.1 |
composition_ethnicity_primary_share_pct_synth |
other | numeric | 0% | - | 32.1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | al-Shabaab; Islamic State of Iraq and ash-Sham -... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
airports_numeric |
Airports count | float | SEL | 0% | 1 | 39.0 |
country_code |
Country code | string | SEL | 0% | 1 | UGA |
country_name |
Country name | string | SEL | 0% | 1 | Uganda |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | 5X |
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 5.0 |
airports_text |
airports_text | string | 0% | 1 | 39 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 1,244 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 1244.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 1,244 km (2014) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 1244.0 |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ug.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | UG, UG, UG, UG |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | UGA, UGA, UGA, UGA |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 4 | -3.18, 3.52, -0.71, -1.42 |
grocery |
grocery | float | 0% | 4 | 2.38, -2.65, 0.0, -1.51 |
parks |
parks | float | 0% | 4 | 7.39, -0.02, 1.09, 9.56 |
transit |
transit | float | 0% | 4 | -5.32, 0.0, -1.72, -18.08 |
workplaces |
workplaces | float | 0% | 4 | 6.49, 26.2, 36.36, 15.42 |
residential |
residential | float | 0% | 4 | 8.97, 2.22, 1.16, 2.39 |
region |
region | string | 0% | 4 | Central Region, Eastern Region, Northern Region, Western Region |
observation_count |
observation_count | integer | 0% | 4 | 7594, 3165, 3420, 3716 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | UGA, UGA, UGA |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | eng, fra, ara |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | English, French, Arabic |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 4347, 4, 4 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 99.8163, 0.0918, 0.0918 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 0, 0, 2 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 2 | , , Arab |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | , , Arabic |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 0, 0, 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | UGA |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Uganda |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 1 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9838 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 24623 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 21411 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 24619 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 4 |
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_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 4910 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 4191 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 12391 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 11365 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 4017 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 3263 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 1581 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 1460 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 603 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 541 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 199 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 151 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 922 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 440 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | UGA |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 124800.0 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.2 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.243347568711126 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 199810.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.175 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.254867966963923 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 6.4 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 2.65140819549561 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 6.5 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 6.7 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 6.2 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 9.7 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 3.7 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 1.4 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 8.3 |
inform_cc_inf_ahc_imm_pcv3 |
Pneumococcal | float | 0% | 1 | 1.4 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 1.9 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 9.5 |
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 | 6.0 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 4.5 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 4.5 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 9.1 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 7.9 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 7.4 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 7.8 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 8.5 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 6.3 |
inform_cc_ins_drr |
Disaster Risk Reduction | float | 0% | 1 | 5.9 |
| +263 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share* | Script |
|---|---|---|---|
| English (eng) | 4,347 | 99.8% | — |
| French (fra) | 4 | 0.1% | — |
| Arabic (ara) | 4 | 0.1% | Arabic |
21,411 distinct features ·
3 languages ·
1 script ·
2 names in non-Roman script ·
4 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
* Shares are of the
4,355 names that carry a language
code; the remaining 20,268 of
24,623 are unattributed, so these
percentages do not divide into the headline count.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| Uganda Bureau of Statistics (UBOS) | official_nso | api |
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| World Bank Open Data | international_organization | api |
| commercial | bulk_download | |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| INFORM Risk Index (EC-JRC) | international_organization | api |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.