Responding to victimisation in a digital world: a case study of fraud and computer misuse reported in Wales

Crime Science

Table 4 Original and coded variables according to base, number of unique levels and percentage of missing data (N = 17,049)

	Base (n)	Levels	Missing (%)
Original variables
Police force	17,049	4	0
Reported date	17,049	751	0
NFIB category	17,049	55	0
Victim partial postcode	17,049	244	0
Victim age^a	10,846	122	18
Victim ethnicity^a	8668	17	35
Financial loss	11,874	1971	30
Force disseminated to	997	54	94
Partner agency disseminated to	227	7	99
Primary purpose (outcome)	1725	12	90
Call for service progress	2228	14	87
Derived and (re)coded variables
Crime category (analytical categories)	17,047	11	0.01
Crime group (fraud/CM)	17,049	2	0
Any online MO	15,431	2	9
Any offline MO	15,339	2	10
Mixed MO	15,339	2	10
Crime MO group	15,339	3	10
Victim type	15,952	3	6%
Victim gender^a	13,011	2	2%
Victim ethnic group^a	8668	2	35
Repeat victim (individual)^a	13,290	8	0
Repeat victim (premises)	17,049	19	0
Business sector^b	2428	21	3%

^aPercentage missing calculated based on reports identified as relating to individual victims, N = 13,290 (businesses, charities and public sector victims excluded)
^bPercentage missing calculated based on reports by business victims only, N = 2516

ISSN: 2193-7680