Nigerian Banking
Collection
20 Nigerian banking datasets for ML research, fraud detection, and financial analytics. • 20 items • Updated • 1
customer_id stringlengths 12 12 | snapshot_date timestamp[us]date 2024-12-31 00:00:00 2024-12-31 00:00:00 | age int64 18 70 | gender stringclasses 2
values | monthly_income_ngn float64 1.24k 10M | state stringclasses 37
values | kyc_tier stringclasses 3
values | account_age_days int64 1 7.3k | products_count int64 1 7 | has_savings_account bool 2
classes | has_current_account bool 2
classes | has_loan bool 2
classes | has_debit_card bool 2
classes | has_credit_card bool 2
classes | has_wallet bool 2
classes | has_investment bool 2
classes | total_balance_ngn float64 27.7 60M | transaction_count_30d int64 5 52 | transaction_volume_ngn_30d float64 734 32.1M | days_since_last_transaction int64 0 365 | dormant_flag bool 2
classes | digital_engagement_score int64 0 100 | churn_30d bool 2
classes | churn_90d bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CUS-00000001 | 2024-12-31T00:00:00 | 40 | male | 121,890.983438 | Gombe | tier1 | 5,881 | 2 | false | true | false | false | false | true | false | 86,187.599582 | 20 | 135,020.374223 | 7 | false | 76 | false | false |
CUS-00000002 | 2024-12-31T00:00:00 | 33 | female | 65,450.104929 | Abuja (FCT) | tier2 | 6,530 | 1 | true | false | false | false | false | false | false | 25,440.651497 | 26 | 293,349.039674 | 14 | false | 33 | false | false |
CUS-00000003 | 2024-12-31T00:00:00 | 42 | male | 126,501.08022 | Kwara | tier1 | 6,756 | 1 | false | true | false | true | false | false | false | 387,692.192059 | 28 | 62,167.832834 | 60 | false | 25 | false | true |
CUS-00000004 | 2024-12-31T00:00:00 | 53 | female | 42,281.279822 | Akwa Ibom | tier2 | 3,308 | 1 | true | false | false | false | false | false | false | 37,490.68126 | 21 | 177,967.018357 | 3 | false | 55 | false | false |
CUS-00000005 | 2024-12-31T00:00:00 | 32 | male | 149,005.739367 | Imo | tier2 | 1,986 | 4 | true | false | false | false | false | false | false | 137,546.652869 | 26 | 222,014.964124 | 0 | false | 51 | false | false |
CUS-00000006 | 2024-12-31T00:00:00 | 32 | male | 95,231.82978 | Abuja (FCT) | tier3 | 5,393 | 1 | false | false | false | true | false | true | false | 303,616.970446 | 27 | 831,006.264547 | 0 | false | 61 | false | false |
CUS-00000007 | 2024-12-31T00:00:00 | 53 | female | 653,258.0854 | Cross River | tier1 | 4,302 | 2 | true | false | false | true | false | false | false | 123,958.971038 | 23 | 215,310.50956 | 30 | false | 54 | false | false |
CUS-00000008 | 2024-12-31T00:00:00 | 44 | male | 212,128.507717 | Oyo | tier1 | 1,709 | 2 | true | true | false | false | false | false | true | 5,261.157975 | 29 | 222,547.06748 | 30 | false | 94 | false | false |
CUS-00000009 | 2024-12-31T00:00:00 | 29 | male | 243,755.342629 | Osun | tier1 | 3,526 | 1 | true | false | false | false | false | false | false | 17,680.710219 | 24 | 441,605.511222 | 1 | false | 29 | false | false |
CUS-00000010 | 2024-12-31T00:00:00 | 41 | female | 200,225.574278 | Kogi | tier2 | 2,352 | 2 | true | false | true | false | false | false | false | 444,249.002856 | 27 | 26,913.185304 | 3 | false | 37 | false | false |
CUS-00000011 | 2024-12-31T00:00:00 | 29 | male | 80,777.903399 | Abia | tier2 | 5,415 | 1 | true | false | true | false | false | false | false | 1,411.334644 | 12 | 71,105.023843 | 2 | false | 90 | false | false |
CUS-00000012 | 2024-12-31T00:00:00 | 29 | male | 548,252.477262 | Kaduna | tier2 | 835 | 1 | true | false | false | false | true | true | false | 154,749.996457 | 16 | 63,019.998659 | 1 | false | 31 | false | false |
CUS-00000013 | 2024-12-31T00:00:00 | 37 | female | 192,464.300756 | Kaduna | tier3 | 5,840 | 1 | false | false | false | false | true | false | false | 19,335.54754 | 25 | 97,933.730299 | 1 | false | 57 | false | false |
CUS-00000014 | 2024-12-31T00:00:00 | 18 | male | 125,652.291646 | Kano | tier2 | 1,787 | 1 | true | false | true | false | false | true | false | 7,334.109231 | 18 | 161,316.123892 | 0 | false | 79 | false | false |
CUS-00000015 | 2024-12-31T00:00:00 | 18 | male | 125,756.619333 | Oyo | tier1 | 2,370 | 1 | false | false | false | false | false | false | false | 129,247.837736 | 26 | 181,112.774136 | 7 | false | 68 | false | false |
CUS-00000016 | 2024-12-31T00:00:00 | 28 | female | 67,359.230783 | Lagos | tier1 | 4,328 | 2 | true | false | true | true | false | false | false | 65,225.020116 | 25 | 38,612.934803 | 7 | false | 59 | false | false |
CUS-00000017 | 2024-12-31T00:00:00 | 22 | female | 53,633.074677 | Kaduna | tier2 | 5,889 | 1 | true | false | false | false | false | false | true | 4,923.944747 | 24 | 347,202.536833 | 14 | false | 47 | false | true |
CUS-00000018 | 2024-12-31T00:00:00 | 38 | female | 272,800.127288 | Kano | tier1 | 61 | 1 | true | false | false | true | false | false | false | 50,660.10161 | 20 | 100,536.854243 | 1 | false | 94 | false | false |
CUS-00000019 | 2024-12-31T00:00:00 | 24 | male | 49,487.507588 | Bauchi | tier1 | 7,041 | 1 | false | false | false | true | false | false | false | 93,261.839208 | 23 | 70,202.519789 | 0 | false | 59 | false | false |
CUS-00000020 | 2024-12-31T00:00:00 | 18 | female | 378,848.663851 | Osun | tier2 | 6,418 | 1 | true | true | false | false | false | false | false | 84,153.798063 | 28 | 357,466.368976 | 90 | true | 42 | true | true |
CUS-00000021 | 2024-12-31T00:00:00 | 52 | female | 20,756.587073 | Lagos | tier1 | 5,902 | 1 | false | false | false | false | false | false | false | 35,142.932981 | 31 | 110,475.337907 | 1 | false | 51 | false | false |
CUS-00000022 | 2024-12-31T00:00:00 | 32 | female | 143,587.735236 | Edo | tier1 | 5,827 | 1 | true | true | true | false | false | false | false | 3,002.329383 | 29 | 63,099.268884 | 2 | false | 45 | false | false |
CUS-00000023 | 2024-12-31T00:00:00 | 35 | female | 335,516.216399 | Rivers | tier1 | 5,370 | 1 | false | false | false | true | false | false | false | 22,440.480858 | 27 | 35,539.230706 | 2 | false | 25 | false | false |
CUS-00000024 | 2024-12-31T00:00:00 | 18 | female | 279,399.967413 | Akwa Ibom | tier3 | 1,181 | 4 | true | true | false | true | false | false | true | 59,065.460056 | 30 | 62,147.022639 | 2 | false | 60 | false | false |
CUS-00000025 | 2024-12-31T00:00:00 | 28 | male | 94,325.976705 | Kano | tier1 | 1,234 | 1 | true | false | false | true | false | false | true | 6,940.178758 | 27 | 295,660.425487 | 14 | false | 45 | false | true |
CUS-00000026 | 2024-12-31T00:00:00 | 36 | female | 196,477.390509 | Rivers | tier3 | 3,287 | 2 | true | false | false | false | false | true | false | 86,670.140679 | 22 | 160,712.228892 | 30 | false | 39 | false | false |
CUS-00000027 | 2024-12-31T00:00:00 | 21 | male | 121,921.734868 | Imo | tier1 | 3,566 | 3 | true | false | false | false | false | false | false | 932,247.675051 | 27 | 266,415.304408 | 30 | false | 20 | false | false |
CUS-00000028 | 2024-12-31T00:00:00 | 39 | female | 404,431.751684 | Edo | tier2 | 2,366 | 2 | false | false | true | true | false | false | false | 557,807.321651 | 19 | 556,145.906492 | 0 | false | 22 | false | false |
CUS-00000029 | 2024-12-31T00:00:00 | 27 | male | 239,293.474681 | Edo | tier2 | 170 | 2 | true | false | false | true | false | true | false | 25,261.215082 | 28 | 138,517.653283 | 0 | false | 38 | false | false |
CUS-00000030 | 2024-12-31T00:00:00 | 31 | male | 20,728.678439 | Delta | tier1 | 3,532 | 1 | true | true | true | false | false | false | false | 442,429.406324 | 25 | 421,502.827831 | 7 | false | 37 | false | false |
CUS-00000031 | 2024-12-31T00:00:00 | 27 | male | 173,321.411622 | Lagos | tier1 | 4,981 | 3 | true | false | false | true | false | false | false | 197,282.295393 | 29 | 45,568.156932 | 3 | false | 66 | false | false |
CUS-00000032 | 2024-12-31T00:00:00 | 57 | female | 934,648.799989 | Rivers | tier1 | 840 | 3 | true | true | false | false | false | false | false | 8,611.079397 | 23 | 57,741.331919 | 0 | false | 54 | false | false |
CUS-00000033 | 2024-12-31T00:00:00 | 34 | female | 105,046.465073 | Lagos | tier1 | 3,687 | 1 | true | true | true | false | false | true | false | 14,084.043232 | 28 | 178,447.818825 | 14 | false | 24 | false | true |
CUS-00000034 | 2024-12-31T00:00:00 | 22 | male | 44,524.064065 | Plateau | tier2 | 209 | 5 | false | false | true | false | false | false | false | 1,610.655111 | 20 | 42,603.388273 | 2 | false | 71 | false | false |
CUS-00000035 | 2024-12-31T00:00:00 | 44 | female | 59,146.267198 | Lagos | tier1 | 4,199 | 4 | true | false | false | true | false | false | true | 31,533.225701 | 22 | 46,825.093504 | 2 | false | 83 | false | false |
CUS-00000036 | 2024-12-31T00:00:00 | 20 | male | 309,922.29049 | Plateau | tier2 | 2,836 | 2 | true | false | true | false | false | false | false | 49,975.852298 | 32 | 515,328.449256 | 7 | false | 50 | false | false |
CUS-00000037 | 2024-12-31T00:00:00 | 37 | female | 118,796.477604 | Borno | tier2 | 3,034 | 1 | true | false | false | true | true | false | true | 10,200.591144 | 28 | 346,954.366446 | 0 | false | 59 | false | false |
CUS-00000038 | 2024-12-31T00:00:00 | 18 | female | 121,058.409195 | Rivers | tier1 | 3,405 | 2 | true | false | false | true | false | false | false | 332,468.564859 | 29 | 45,639.02144 | 90 | true | 84 | false | false |
CUS-00000039 | 2024-12-31T00:00:00 | 19 | female | 121,137.743786 | Lagos | tier2 | 1,403 | 4 | true | false | false | true | false | false | false | 43,011.19329 | 20 | 213,826.300653 | 7 | false | 72 | false | false |
CUS-00000040 | 2024-12-31T00:00:00 | 37 | female | 129,376.93866 | Lagos | tier3 | 3,083 | 1 | true | false | false | true | true | true | false | 58,408.701863 | 33 | 194,371.341313 | 7 | false | 79 | false | false |
CUS-00000041 | 2024-12-31T00:00:00 | 43 | female | 25,371.456606 | Abuja (FCT) | tier2 | 4,234 | 1 | true | false | false | true | false | false | false | 5,701.893293 | 40 | 776,875.612839 | 180 | true | 55 | true | true |
CUS-00000042 | 2024-12-31T00:00:00 | 37 | female | 158,450.63091 | Adamawa | tier1 | 5,593 | 1 | false | false | true | true | false | false | false | 151,306.231438 | 22 | 64,147.199682 | 30 | false | 90 | false | false |
CUS-00000043 | 2024-12-31T00:00:00 | 33 | male | 112,013.644887 | Lagos | tier1 | 6,923 | 2 | true | true | false | false | false | false | false | 88,616.479819 | 17 | 38,392.125207 | 1 | false | 68 | false | false |
CUS-00000044 | 2024-12-31T00:00:00 | 31 | female | 92,375.141441 | Rivers | tier1 | 5,296 | 2 | false | false | false | false | false | true | false | 23,893.787683 | 29 | 139,483.730378 | 3 | false | 47 | false | false |
CUS-00000045 | 2024-12-31T00:00:00 | 18 | male | 138,804.653346 | Ogun | tier3 | 2,846 | 1 | true | false | false | true | false | false | false | 73,033.877576 | 17 | 54,823.98123 | 1 | false | 78 | false | false |
CUS-00000046 | 2024-12-31T00:00:00 | 26 | male | 103,621.076223 | Delta | tier2 | 2,604 | 3 | true | false | false | false | false | false | false | 87,826.182124 | 39 | 269,809.301971 | 14 | false | 54 | false | false |
CUS-00000047 | 2024-12-31T00:00:00 | 29 | female | 82,681.913316 | Edo | tier1 | 5,078 | 1 | true | false | false | true | false | true | false | 10,630.901897 | 25 | 99,374.776464 | 14 | false | 63 | false | false |
CUS-00000048 | 2024-12-31T00:00:00 | 47 | female | 2,773,398.835412 | Oyo | tier2 | 1,831 | 3 | false | false | false | false | false | true | false | 14,793.684588 | 28 | 406,306.97293 | 7 | false | 71 | false | false |
CUS-00000049 | 2024-12-31T00:00:00 | 39 | male | 630,143.964988 | Rivers | tier1 | 653 | 1 | true | false | false | false | false | false | false | 51,265.327682 | 20 | 152,644.682637 | 0 | false | 53 | false | true |
CUS-00000050 | 2024-12-31T00:00:00 | 18 | female | 600,788.81051 | Delta | tier2 | 6,152 | 1 | false | false | false | true | false | false | false | 147,018.37687 | 24 | 42,013.395387 | 90 | true | 64 | true | true |
CUS-00000051 | 2024-12-31T00:00:00 | 38 | male | 33,567.676635 | Rivers | tier1 | 2,301 | 1 | true | true | false | false | false | false | false | 2,703.373182 | 32 | 925,523.995622 | 30 | false | 42 | false | true |
CUS-00000052 | 2024-12-31T00:00:00 | 30 | female | 138,716.664208 | Benue | tier1 | 6,636 | 5 | true | false | false | false | false | false | false | 56,468.067239 | 26 | 40,126.091889 | 1 | false | 79 | false | false |
CUS-00000053 | 2024-12-31T00:00:00 | 26 | male | 156,835.415147 | Kaduna | tier2 | 7,217 | 1 | true | true | false | true | false | false | false | 260,234.03739 | 15 | 36,464.093225 | 3 | false | 78 | false | false |
CUS-00000054 | 2024-12-31T00:00:00 | 42 | female | 285,096.989406 | Oyo | tier1 | 1,178 | 2 | true | false | false | false | false | false | false | 4,851.115875 | 29 | 224,455.585032 | 90 | true | 24 | true | true |
CUS-00000055 | 2024-12-31T00:00:00 | 47 | male | 379,052.470807 | Ogun | tier1 | 4,583 | 1 | true | true | false | true | false | true | false | 92,365.187246 | 28 | 4,545,268.85945 | 7 | false | 75 | false | false |
CUS-00000056 | 2024-12-31T00:00:00 | 46 | male | 271,436.164269 | Delta | tier2 | 3,969 | 1 | true | false | false | false | false | false | false | 46,944.659381 | 23 | 28,155.983028 | 2 | false | 41 | false | false |
CUS-00000057 | 2024-12-31T00:00:00 | 24 | male | 384,333.752528 | Akwa Ibom | tier2 | 7,113 | 1 | true | false | false | true | false | true | false | 64,744.640033 | 25 | 211,843.674985 | 1 | false | 47 | false | false |
CUS-00000058 | 2024-12-31T00:00:00 | 31 | male | 82,174.204782 | Lagos | tier1 | 6,826 | 1 | true | false | false | false | false | false | false | 34,023.970829 | 17 | 102,816.118608 | 60 | false | 1 | false | true |
CUS-00000059 | 2024-12-31T00:00:00 | 38 | male | 101,371.12111 | Delta | tier2 | 2,348 | 1 | false | false | false | true | false | false | false | 600.033323 | 17 | 167,047.155441 | 7 | false | 43 | false | false |
CUS-00000060 | 2024-12-31T00:00:00 | 46 | female | 79,436.189631 | Plateau | tier2 | 4,746 | 4 | false | true | false | false | false | true | false | 47,082.67217 | 23 | 72,814.419928 | 0 | false | 72 | false | false |
CUS-00000061 | 2024-12-31T00:00:00 | 29 | male | 72,183.01613 | Cross River | tier2 | 2,993 | 1 | true | true | false | true | false | true | false | 9,932.306325 | 24 | 76,686.808526 | 1 | false | 69 | false | false |
CUS-00000062 | 2024-12-31T00:00:00 | 32 | male | 187,375.109956 | Anambra | tier1 | 4,812 | 2 | true | true | false | false | false | false | false | 88,813.247 | 26 | 651,328.319239 | 2 | false | 35 | false | false |
CUS-00000063 | 2024-12-31T00:00:00 | 21 | female | 156,214.033341 | Kwara | tier2 | 6,380 | 3 | false | false | false | false | false | false | false | 111,441.765763 | 26 | 46,465.557447 | 14 | false | 25 | false | false |
CUS-00000064 | 2024-12-31T00:00:00 | 20 | female | 24,866.269076 | Enugu | tier2 | 3,761 | 1 | true | true | true | true | false | false | false | 53,797.600736 | 21 | 95,302.816222 | 7 | false | 27 | false | false |
CUS-00000065 | 2024-12-31T00:00:00 | 44 | female | 164,068.95586 | Ondo | tier1 | 1,981 | 1 | true | false | false | false | false | false | false | 7,536.714021 | 26 | 389,884.11596 | 3 | false | 0 | false | true |
CUS-00000066 | 2024-12-31T00:00:00 | 51 | female | 208,694.039242 | Lagos | tier1 | 849 | 1 | true | false | false | true | false | false | true | 11,210.130935 | 24 | 131,044.653957 | 7 | false | 68 | false | false |
CUS-00000067 | 2024-12-31T00:00:00 | 34 | male | 85,655.617738 | Lagos | tier1 | 2,722 | 1 | true | false | true | true | false | true | false | 41,742.381506 | 21 | 79,546.454032 | 1 | false | 55 | false | false |
CUS-00000068 | 2024-12-31T00:00:00 | 47 | male | 218,406.58928 | Osun | tier2 | 3,631 | 2 | false | true | false | true | false | false | false | 83,902.504139 | 34 | 201,330.278605 | 0 | false | 67 | false | false |
CUS-00000069 | 2024-12-31T00:00:00 | 39 | male | 109,137.667871 | Plateau | tier2 | 838 | 1 | true | false | false | true | true | false | false | 56,759.592328 | 26 | 183,023.279535 | 14 | false | 70 | false | false |
CUS-00000070 | 2024-12-31T00:00:00 | 27 | female | 509,360.282567 | Katsina | tier2 | 7,229 | 5 | true | true | false | false | false | false | false | 116,024.279189 | 26 | 89,882.070171 | 30 | false | 52 | false | false |
CUS-00000071 | 2024-12-31T00:00:00 | 39 | male | 115,957.928899 | Rivers | tier3 | 2,902 | 2 | true | false | false | false | false | true | false | 110,968.51165 | 25 | 60,380.161449 | 7 | false | 59 | false | false |
CUS-00000072 | 2024-12-31T00:00:00 | 53 | female | 377,509.467401 | Lagos | tier3 | 854 | 4 | false | false | false | true | false | false | false | 36,701.187981 | 29 | 287,516.069941 | 0 | false | 27 | false | false |
CUS-00000073 | 2024-12-31T00:00:00 | 34 | male | 143,014.378683 | Abuja (FCT) | tier2 | 5,362 | 2 | true | false | false | false | false | true | true | 1,917.262521 | 22 | 202,845.49738 | 0 | false | 55 | false | false |
CUS-00000074 | 2024-12-31T00:00:00 | 53 | male | 98,522.933676 | Sokoto | tier1 | 2,343 | 1 | true | true | true | false | false | false | false | 49,187.171044 | 27 | 211,886.526504 | 3 | false | 34 | false | false |
CUS-00000075 | 2024-12-31T00:00:00 | 18 | male | 211,136.488699 | Gombe | tier1 | 6,520 | 2 | true | false | false | false | false | false | false | 405,358.669789 | 28 | 33,336.703875 | 0 | false | 48 | false | false |
CUS-00000076 | 2024-12-31T00:00:00 | 44 | male | 392,478.802005 | Katsina | tier2 | 1,659 | 3 | true | true | false | false | false | false | false | 25,428.694079 | 28 | 117,982.152415 | 7 | false | 28 | false | false |
CUS-00000077 | 2024-12-31T00:00:00 | 36 | female | 111,476.397482 | Bauchi | tier1 | 4,942 | 1 | false | false | false | false | false | true | false | 47,332.082112 | 9 | 38,138.060181 | 2 | false | 71 | false | false |
CUS-00000078 | 2024-12-31T00:00:00 | 31 | female | 53,598.324185 | Edo | tier2 | 6,503 | 6 | true | false | false | false | false | false | false | 150,052.015719 | 17 | 162,330.534938 | 365 | true | 54 | false | true |
CUS-00000079 | 2024-12-31T00:00:00 | 36 | female | 410,311.294801 | Benue | tier1 | 716 | 2 | true | false | true | true | false | true | false | 99,301.134675 | 24 | 167,172.221459 | 0 | false | 56 | false | false |
CUS-00000080 | 2024-12-31T00:00:00 | 18 | male | 56,897.384244 | Abuja (FCT) | tier2 | 3,620 | 1 | false | true | false | false | false | true | true | 9,766.727689 | 27 | 37,857.460315 | 14 | false | 51 | false | true |
CUS-00000081 | 2024-12-31T00:00:00 | 32 | male | 87,932.804049 | Lagos | tier1 | 4,119 | 2 | true | true | false | true | false | false | false | 106,664.098804 | 30 | 1,197,861.280117 | 0 | false | 74 | false | false |
CUS-00000082 | 2024-12-31T00:00:00 | 39 | male | 412,390.39937 | Delta | tier2 | 6,074 | 2 | true | false | false | true | false | false | false | 35,146.941732 | 26 | 90,079.550012 | 0 | false | 49 | false | false |
CUS-00000083 | 2024-12-31T00:00:00 | 52 | male | 56,365.178271 | Plateau | tier1 | 5,875 | 3 | true | false | false | false | false | false | false | 12,679.653547 | 22 | 251,532.038699 | 0 | false | 45 | false | false |
CUS-00000084 | 2024-12-31T00:00:00 | 28 | female | 157,270.983297 | Lagos | tier1 | 7,248 | 1 | false | false | false | false | false | false | false | 68,493.454867 | 18 | 528,704.71218 | 14 | false | 46 | false | false |
CUS-00000085 | 2024-12-31T00:00:00 | 25 | male | 137,737.245473 | Lagos | tier1 | 3,700 | 5 | true | false | false | false | true | false | false | 10,870.510495 | 25 | 76,134.716741 | 60 | false | 67 | false | false |
CUS-00000086 | 2024-12-31T00:00:00 | 28 | female | 124,403.039949 | Anambra | tier2 | 5,368 | 5 | true | true | true | true | false | false | false | 93,101.169025 | 25 | 201,782.188884 | 7 | false | 60 | false | false |
CUS-00000087 | 2024-12-31T00:00:00 | 45 | male | 161,124.999812 | Imo | tier1 | 2,352 | 3 | true | false | false | false | false | false | false | 9,268.999581 | 25 | 108,696.558104 | 2 | false | 80 | false | false |
CUS-00000088 | 2024-12-31T00:00:00 | 38 | male | 115,831.21507 | Katsina | tier1 | 6,945 | 1 | true | true | false | false | false | false | false | 4,824.550756 | 29 | 740,419.316438 | 2 | false | 45 | false | false |
CUS-00000089 | 2024-12-31T00:00:00 | 28 | female | 268,494.816916 | Jigawa | tier1 | 43 | 3 | true | true | false | false | false | false | false | 4,156.211255 | 27 | 52,154.751183 | 14 | false | 86 | false | false |
CUS-00000090 | 2024-12-31T00:00:00 | 41 | male | 374,567.718598 | Bayelsa | tier2 | 2,652 | 1 | true | true | true | false | false | false | false | 100,052.197068 | 28 | 628,611.88335 | 2 | false | 78 | false | false |
CUS-00000091 | 2024-12-31T00:00:00 | 36 | male | 93,320.399762 | Enugu | tier1 | 1,245 | 3 | false | false | false | false | false | false | false | 1,079.121841 | 16 | 68,363.731492 | 2 | false | 54 | false | false |
CUS-00000092 | 2024-12-31T00:00:00 | 46 | male | 53,941.433235 | Lagos | tier1 | 4,932 | 2 | true | false | true | false | false | true | false | 80,419.920224 | 21 | 83,714.062406 | 14 | false | 52 | false | false |
CUS-00000093 | 2024-12-31T00:00:00 | 26 | female | 172,262.853321 | Katsina | tier2 | 5,835 | 2 | true | false | false | true | false | false | true | 462,809.512127 | 27 | 248,465.378613 | 1 | false | 69 | false | false |
CUS-00000094 | 2024-12-31T00:00:00 | 31 | male | 169,533.644366 | Yobe | tier2 | 2,376 | 2 | true | false | false | true | false | false | true | 13,757.420726 | 23 | 521,663.230874 | 14 | false | 41 | false | false |
CUS-00000095 | 2024-12-31T00:00:00 | 30 | male | 150,758.631392 | Lagos | tier2 | 3,214 | 2 | true | false | false | true | true | false | false | 143,454.947975 | 28 | 225,853.431346 | 14 | false | 75 | false | false |
CUS-00000096 | 2024-12-31T00:00:00 | 18 | female | 44,364.170537 | Enugu | tier1 | 6,476 | 2 | true | false | false | false | false | true | false | 3,628.696115 | 17 | 105,863.686253 | 0 | false | 44 | false | false |
CUS-00000097 | 2024-12-31T00:00:00 | 38 | male | 265,736.03282 | Enugu | tier2 | 3,404 | 3 | true | false | false | false | false | false | false | 37,093.899328 | 22 | 418,524.826566 | 2 | false | 36 | false | false |
CUS-00000098 | 2024-12-31T00:00:00 | 38 | female | 574,912.050386 | Abuja (FCT) | tier3 | 5,046 | 3 | false | false | false | false | false | true | true | 64,752.555885 | 17 | 313,376.383134 | 7 | false | 9 | false | false |
CUS-00000099 | 2024-12-31T00:00:00 | 35 | male | 127,734.893058 | Kano | tier2 | 3,017 | 2 | true | false | false | true | true | false | false | 10,371.196005 | 22 | 360,148.011111 | 2 | false | 65 | false | false |
CUS-00000100 | 2024-12-31T00:00:00 | 32 | female | 76,947.063965 | Abuja (FCT) | tier2 | 6,704 | 2 | true | false | false | false | false | false | false | 6,062.17768 | 26 | 693,752.654068 | 90 | true | 83 | false | true |
Dataset Type: Banking & Finance - Customer Analytics
Version: 1.0
License: Apache 2.0
Language: English
Geography: Nigeria
Synthetic Nigerian banking customer 360-degree profiles with churn prediction labels. Comprehensive view of customer demographics, product holdings, balances, transaction activity, and digital engagement.
Use Cases:
| Column | Type | Description |
|---|---|---|
customer_id |
string | Unique customer identifier (CUS-########) |
snapshot_date |
date | Data snapshot date |
age |
int | Customer age (18-70) |
gender |
category | male, female |
monthly_income_ngn |
float | Monthly income in Naira |
state |
category | Nigerian state (37 states) |
kyc_tier |
category | tier1, tier2, tier3 |
account_age_days |
int | Days since account opening |
products_count |
int | Number of products held (1-7) |
has_savings_account |
bool | Has savings account |
has_current_account |
bool | Has current account |
has_loan |
bool | Has active loan |
has_debit_card |
bool | Has debit card |
has_credit_card |
bool | Has credit card |
has_wallet |
bool | Has digital wallet |
has_investment |
bool | Has investment product |
total_balance_ngn |
float | Total balance across products |
transaction_count_30d |
int | Transaction count (last 30 days) |
transaction_volume_ngn_30d |
float | Transaction volume (last 30 days) |
days_since_last_transaction |
int | Days since last transaction |
dormant_flag |
bool | Dormant if no activity in 90+ days |
digital_engagement_score |
int | Digital engagement score (0-100) |
churn_30d |
bool | LABEL: True if churned in 30 days |
churn_90d |
bool | LABEL: True if churned in 90 days |
Note: churn_90d is a superset of churn_30d
| Metric | Value |
|---|---|
| Avg Age | 35 years |
| Gender Split | 52% M / 48% F |
| Urban Rate | 65% |
| Product | Prevalence | Avg Balance |
|---|---|---|
| Savings Account | 80% | ₦150,000 |
| Current Account | 35% | ₦300,000 |
| Debit Card | 40% | - |
| Digital Wallet | 30% | ₦50,000 |
| Loan | 20% | ₦500,000 |
| Investment | 12% | ₦1,000,000 |
| Credit Card | 8% | - |
Average Products per Customer: 2.0
| Metric | Value |
|---|---|
| Avg Transactions | 25 |
| Zero Transactions | 15% |
| High Activity (50+) | 10% |
| Segment | Prevalence | Avg Balance | Products | Churn Rate |
|---|---|---|---|---|
| Mass Market | 60% | ₦50k | 1.5 | 8% |
| Emerging Affluent | 25% | ₦300k | 2.5 | 4% |
| Affluent | 10% | ₦2M | 3.5 | 2% |
| Private Banking | 5% | ₦10M | 5.0 | 1% |
| Tier | Daily Limit | Prevalence | Churn Rate |
|---|---|---|---|
| Tier 1 | ₦300k | 45% | 8% |
| Tier 2 | ₦5M | 45% | 4% |
| Tier 3 | Unlimited | 10% | 2% |
Top 5 States:
✅ Salary Detection: 55% have direct deposit
✅ Multi-Banking: 40% hold accounts at 2+ banks
✅ Mobile First: 70% primarily use mobile app
✅ Dormancy: 12.5% dormant (90+ days no activity)
customer_360/
├── README.md
├── nigerian_customer_360_pilot.parquet (10k, 0.45 MB)
├── nigerian_customer_360.parquet (2M, ~160 MB) - Coming Soon
├── nigerian_customer_360.csv (2M, ~320 MB) - Coming Soon
└── customer_360_sample.csv (100 rows)
import pandas as pd
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import train_test_split
# Load data
df = pd.read_parquet('nigerian_customer_360.parquet')
# Feature engineering
df['balance_per_product'] = df['total_balance_ngn'] / df['products_count']
df['txn_per_day'] = df['transaction_count_30d'] / 30
df['avg_txn_size'] = df['transaction_volume_ngn_30d'] / df['transaction_count_30d']
# Churn prediction features
features = [
'products_count', 'total_balance_ngn', 'transaction_count_30d',
'days_since_last_transaction', 'digital_engagement_score',
'dormant_flag', 'account_age_days', 'balance_per_product'
]
X = df[features].fillna(0)
y = df['churn_30d']
# Split and train
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.2, stratify=y, random_state=42
)
model = GradientBoostingClassifier(n_estimators=100, learning_rate=0.1)
model.fit(X_train, y_train)
# Feature importance
importance_df = pd.DataFrame({
'feature': features,
'importance': model.feature_importances_
}).sort_values('importance', ascending=False)
print(importance_df)
@dataset{nigerian_customer_360_2025,
author = {Electric Sheep Africa},
title = {Nigerian Banking Customer 360 Dataset},
year = {2025},
publisher = {Hugging Face}
}
Last Updated: 2025-10-19
Status: ✅ Pilot Validated