Analyses of Crime Patterns in NIBRS Data Based on a Novel Graph Theory Clustering Method: Virginia as a Case Study

Table 4

Likelihood index and clustering for hate crime.

	Name	Cluster	Hate crime likelihood index
1	NEWPORT NEWS	B	0.867
2	NORFOLK	B	0.837
3	CHESAPEAKE	B	0.810
4	GREENSVILLE	B	0.762
5	PORTSMOUTH	B	0.759
6	RICHMOND	B	0.716
7	WYTHE	B	0.681
8	ALEXANDRIA	B	0.678
9	BRISTOL	B	0.667
10	NEW KENT	B	0.618
11	FAUQUIER	B	0.531
12	ROANOKE	A	0.439
13	RICHMOND	A	0.386
14	WILLIAMSBURG	A	0.377
15	VIRGINIA BEACH	B	0.318
16	CHARLOTTESVILLE	A	0.312
17	PETERSBURG	A	0.280
18	SPOTSYLVANIA	A	0.226
19	HOPEWELL	A	0.205
20	RUSSELL	A	0.121
21	CLARKE	A	0.121
22	WINCHESTER	A	0.118
23	SUFFOLK	A	0.111
24	MARTINSVILLE	A	0.075
25	STAUNTON	A	0.073
26	GALAX	A	0.070
27	SHENANDOAH	A	0.063
28	CAROLINE	A	0.044
29	SURRY	A	−0.020
30	DANVILLE	A	−0.094