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. 2014 May 24;14:71. doi: 10.1186/1471-2288-14-71

Table 4.

Distribution of background characteristics in the dataset matched by means of fingerprints compared to three datasets of records matched using conventional personal identifiers

Variable
Matched on fingerprint (n = 623)
Matched with scenario 6 (n = 492)
Matched with scenario 16 (n = 551)
Matched with scenario 17 (n = 552)
  n (%) n (%) p -value * n (%) p -value * n (%) p -value *
Sex
 
 
 
 
 
 
 
 
Female
511 (82.0)
395 (80.3)
 
445 (80.8)
 
447 (81.0)
 
 
Male
112 (18.0)
97 (19.7)
0.460
106 (19.2)
0.579
105 (19.0)
0.645
Age
 
 
 
 
 
 
 
 
18-34
334 (53.6)
284 (57.7)
 
308 (55.9)
 
308 (55.8)
 
 
35-49
125 (20.1)
100 (20.3
 
112 (20.3)
 
115 (20.8)
 
 
50-64
89 (14.3)
66 (13.4)
 
78 (14.2)
 
77 (14.0)
 
 
65+
75 (12.0)
42 (8.5)
0.240
53 (9.6)
0.601
52 (9.4)
0.528
Ethnicity
 
 
 
 
 
 
 
 
Other
96 (15.4)
67 (13.6)
 
76 (13.8)
 
75 (13.6)
 
 
South African
527 (84.6)
425 (86.4)
0.401
475 (86.2)
0.434
477 (86.4)
0.377
Residence status
 
 
 
 
 
 
 
 
Permanent
574 (92.1)
450 (91.5)
 
506 (91.8)
 
507 (91.8)
 
 
Temporary and other
48 (7.7)
42 (8.5)
0.595
45 (8.2)
0.617
45 (8.2)
0.618
Highest level of education
 
 
 
 
 
 
 
 
None
97 (15.6)
54 (11.0)
 
71 (12.9)
 
69 (12.5)
 
 
Some primary
191 (30.7)
144 (29.3)
 
164 (29.8)
 
166 (30.1)
 
 
Post primary
302 (48.5)
267 (54.3)
0.098
288 (52.3)
0.491
288 (52.2)
0.426
Employment
 
 
 
 
 
 
 
 
Not working
514 (82.5)
413 (83.9)
 
462 (83.4)
 
460 (83.3)
 
 
Working
93 (14.9)
70 (14.2)
0.660
79 (14.3)
0.643
81 (14.7)
0.795
Wealth quintile
 
 
 
 
 
 
 
 
Lowest
44 (7.1)
28 (5.7)
 
33 (6.0)
 
34 (16.2)
 
 
Second
84 (13.5)
62 (12.6)
 
75 (13.6)
 
73 (13.2)
 
 
Middle
125 (20.1)
100 (20.3)
 
108 (19.6)
 
110 (19.9)
 
 
Fourth
172 (27.6)
136 (27.6)
 
152 (27.6)
 
150 (21.2)
 
  Highest 184 (29.5) 159 (32.3) 0.753 174 (31.58) 0.912 175 (31.7) 0.952

*p-value using chi-squared test computed separately for records in each scenario compared to records matched by means of fingerprints.