Reporting Rate Survey vs Recorded Ratio Estimator
Observed independently harmonized survey reporting/estimated-event ratio; not police clearance or infer causes of nonreporting. Ratios above one retained as comparability discrepancy, not probability.
Description
Survey-estimated and reported events can be compared only on a matched scope.
Survey-estimated and reported events can be compared only on a matched scope.1
Their ratio describes submitted quantities without resolving reporting bias or coverage differences. Use this tool to calculate the stated observation or conditional model from supplied measurements.
When to use Reporting Rate Survey vs Recorded Ratio Estimator
Use this tool to calculate the stated observation or conditional model from supplied measurements. Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
How to use Reporting Rate Survey vs Recorded Ratio Estimator and understand its results
- Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
- Enter matchedSurveyEstimatedEvents, independentlyVerifiedReportedEvents, using the field meanings and rules below, then run the tool.
- Read result.conditionalReportedFraction. Interpret each field using the units, signs and evidence rules below.
- If input validation fails, correct the reported field and run again. Before applying a successful result, check the stated reference scope, units, assumptions and any retained unknown evidence.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| matchedSurveyEstimatedEvents | Matched survey estimated events | number | Required |
| independentlyVerifiedReportedEvents | Independently verified reported events | number | Required |
Require positive matched survey estimate and nonnegative independently verified reported events. Divide reported by estimate without a cap; fractional values and ratios above one are allowed. The matched scope and survey uncertainty are independent inputs.
conditionalReportedFraction=reportedEvents/surveyEstimatedEvents Apply the field units and exact ordering, boundary and evidence rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result containing the calculation or selected reference fields below | object |
| result.conditionalReportedFraction | Conditional Reported Fraction; use the units, sign convention and calculation stated above | number |
{
"input": {
"matchedSurveyEstimatedEvents": 100,
"independentlyVerifiedReportedEvents": 60
},
"output": {
"result": {
"conditionalReportedFraction": 0.6
}
}
}Limitations and assumptions
Their ratio describes submitted quantities without resolving reporting bias or coverage differences. Results depend on the independently established measurement basis and the exact model assumptions above.
Every listed input requires an explicit value. Unexpected fields, incorrect value types, nonfinite numbers and sparse numeric arrays fail validation; tool-specific bounds and alignment rules apply as described above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful calculation that reports a false comparison or retains unknown evidence.
Alternative or Complementary methods
Use Victimization Rate Per 1000 Survey Style Calculator to examine a related aspect: Victimization rates compare surveyed events with a matched exposure denominator.
Use Dark Figure Of Crime Gap Estimate Calculator where its separate inputs and scope apply: The dark figure of crime concerns events absent from recorded statistics.
References
Similar or alternative tools
- Victimization Rate Per 1000 Survey Style Calculator
Victimization rates compare surveyed events with a matched exposure denominator.
- Dark Figure Of Crime Gap Estimate Calculator
The dark figure of crime concerns events absent from recorded statistics.