Dark Figure Of Crime Gap Estimate Calculator
Matched survey-estimated versus recorded event gap with independently harmonized incident definitions, population and period. Negative discrepancies retained; no inferred actual crime count, precise dark-figure estimate or causal reporting bias.
Description
The dark figure of crime concerns events absent from recorded statistics.
The dark figure of crime concerns events absent from recorded statistics.1
A survey-minus-recorded gap is a conditional comparison whose scope and uncertainty must be independently matched. Use this tool to calculate the stated observation or conditional model from supplied measurements.
When to use Dark Figure Of Crime Gap Estimate Calculator
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 Dark Figure Of Crime Gap Estimate Calculator and understand its results
- Establish the jurisdiction or research scope, observation and event definitions, reference date, matched period and denominator basis.
- Enter callerMatchedSurveyEstimatedEvents, matchedRecordedEvents, using the field meanings and rules below, then run the tool.
- Read result.signedUnrecordedEventGap, result.conditionalUnrecordedFraction. 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 |
|---|---|---|---|
| callerMatchedSurveyEstimatedEvents | Caller matched survey estimated events | number | Required |
| matchedRecordedEvents | Matched recorded events | number | Required |
Require positive matched survey estimate and nonnegative recorded events. Return estimate−recorded and 1−recorded/estimate without clamping. Recorded values above the estimate produce a negative gap and fraction; the tool does not reconcile survey error or incompatible definitions.
signedGap=surveyEstimate−recordedEvents; unrecordedFraction=1−recordedEvents/surveyEstimate 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.signedUnrecordedEventGap | Signed Unrecorded Event Gap; use the units, sign convention and calculation stated above | number |
| result.conditionalUnrecordedFraction | Conditional Unrecorded Fraction; use the units, sign convention and calculation stated above | number |
{
"input": {
"callerMatchedSurveyEstimatedEvents": 100,
"matchedRecordedEvents": 60
},
"output": {
"result": {
"signedUnrecordedEventGap": 40,
"conditionalUnrecordedFraction": 0.4
}
}
}Limitations and assumptions
A survey-minus-recorded gap is a conditional comparison whose scope and uncertainty must be independently matched. 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 Reporting Rate Survey vs Recorded Ratio Estimator where its separate inputs and scope apply: Survey-estimated and reported events can be compared only on a matched scope.
References
Similar or alternative tools
- Victimization Rate Per 1000 Survey Style Calculator
Victimization rates compare surveyed events with a matched exposure denominator.
- Reporting Rate Survey vs Recorded Ratio Estimator
Survey-estimated and reported events can be compared only on a matched scope.