Income Analysis
- Philip Awopetu
This is a collection of variables associated with the customer’s income analysis.
Variable Name | Type | Description |
|---|---|---|
averageOtherIncome |
| The Monthly average of all non-salary transactions detected over the period of the bank statement. |
averageSalary |
| The average of total monthly salary transactions detected. |
confidenceIntervalOnSalaryDetection |
| The stability of the detected salary amounts and frequency of the salary payments within the statement period. |
expectedSalaryDay |
| The predicted date of Salary payments. |
lastSalaryDate |
| The last date a salary was paid over the course of the statement. |
medianIncome |
| The Statistical median value of income transactions detected. |
numberOtherIncomePayments |
| The number of Non-Salary income transactions that were detected. |
numberOfSalaryPayments |
| The total number of all Salary transactions detected over the course of the statement. |
salaryEarner |
| Indicates if a consistent, recurring salary was detected over the period of the bank statement. |
salaryFrequency |
| The average number of times a salary is paid monthly. |
gigWorker |
| Indicates if an income is detected from gigs e.g Instagram vendors. |
averagePension |
| The average of total monthly pension transactions detected. |
dsr |
| The Debt-to-Salary Ratio. |
microSME |
| Indicates the detection of micro SME activities. |
numberSalaryInLast3Months |
| The number of salary transactions in the last 3 months. |
numberSalaryInLast4Months |
| The number of salary transactions in the last 4 months. |
salaryRecency |
| The number of days, from the time of analysing the statement, that a salary is detected. |
pensioner |
| Indicates the detection of pension transactions. |