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Research Report: Justice made to measure: NSW legal needs survey in disadvantaged areas
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Justice made to measure: NSW legal needs survey in disadvantaged areas  ( 2006 )  Cite this report



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Appendix C: Results


Table C1: Incidence of specific legal events, all six LGAs, 2003
Area of lawSurvey question no.Legal event group (no. of items)
Legal event
Events
No.
Participants
%
Civil (76)Accident/injury (4)
554
19.2
19Car accident — property damage
194
8
39ACar accident — personal injury
26
1.1
39BInjury at work
158
6.5
39COther personal injury
176
7.2
Business (2)
125
5
7Problem as landlord
48
2
9Problem re own business
77
3.2
Consumer (5)
690
22
20FProblem re superannuation
56
2.3
21Problem re goods/services
257
10.6
22Dispute with financial institution
239
9.8
23Problem re insurance
117
4.8
56Complaint about lawyer
21
0.9
Credit/debt (5)
384
12
20AProblem paying bill/debt
145
6
20BDispute re credit rating
55
2.3
20CProblem re money owed to you
150
6.2
20DProblem as guarantor
11
0.5
20EBankruptcy
23
0.9
Education (6)
223
7.4
35AUnfair exclusion from education
10
0.4
35BHECS issue
28
1.2
35CSchool bullying/harassment
17
0.7
37AUnfair exclusion from education — parent
37
1.5
37BHECS issue — parent
15
0.6
37CSchool bullying/harassment — parent
116
4.8
Employment (5)
426
12.1
2ADispute re employment conditions
178
7.3
2BUnfair termination of employment
49
2
2CWorkplace harassment/mistreatment
125
5.1
2DWorkplace discrimination
72
3
2EOther problem re employment
2
0.1
Government (15)
631
19.5
5Problem re gov. pension/benefit
112
4.6
31CProblem re gov. services — carer of disabled/elderly
52
2.1
43AProblem re gov. disability/community services
25
1
44ADispute re taxation/debt
92
3.8
43EOther problem re gov. services — disabled person
2
0.1
44BProblem re freedom of information request
37
1.5
44CImmigration problem
30
1.2
44DLocal council problem
158
6.5
51Non-traffic fines you challenged
122
5
53AProblem re medical treatment — immigration detention
0
0
53BProblem re legal advice — immigration detention
0
0
53CSafety threats — immigration detention
0
0
53DHarassment/abuse by staff — immigration detention
0
0
53EProblem re release — immigration detention
0
0
57BProblem re legal system
1
0
Civil (76)Health (11)
90
3.2
31BInvoluntary psychiatric hospitalisation — carer
8
0.3
31FProblem re quality of medical treatment — carer
16
0.7
31GProblem re disability facilities — carer
6
0.2
42AInvoluntary psychiatric hospitalisation
4
0.2
42BOther mental health care issue
6
0.2
43BProblem re non-government disability services
40
1.6
53AProblem re medical treatment — psychiatric ward
5
0.2
53BProblem re legal advice — psychiatric ward
1
0
53CSafety threats — psychiatric ward
1
0
53DHarassment/abuse by staff — psychiatric ward
1
0
53EProblem re release — psychiatric ward
2
0.1
Housing (11)
673
22.6
10ABought/sold home
219
9
10BDispute with neighbour
152
6.3
10CHomelessness
94
3.9
12Tenancy problem
121
5
14Home ownership problem
6
0.2
16AStrata title problem
55
2.3
16BProblem re caravan/home estate
2
0.1
16CProblem re boarding house/hostel
0
0
16DProblem re retirement home/village
1
0
31ANursing home problem — carer of disabled/elderly
23
0.9
43CNursing home problem — disabled person
0
0
Human rights a (8)
196
5.8
24ADiscrimination — marital status
28
1.2
24BDiscrimination — age
38
1.6
24CDiscrimination — gender
36
1.5
24DDiscrimination — religion
22
0.9
24EDiscrimination — sexuality
18
0.7
24FDiscrimination — ethnicity
29
1.2
24GDiscrimination — disability
22
0.9
31HDiscrimination — carer of disabled/eldery
3
0.1
Wills/estates (4)
417
14.6
32AMake/alter will
269
11.1
32BExecutor of estate
53
2.2
32CDispute over will/estate
34
1.4
32DPower of attorney
61
2.5
Criminal (16)Domestic violence (3)
109
3.9
47AVictim of domestic violence by family member
64
2.6
47BVictim of domestic violence by household member
24
1
48Domestic violence allegation against you
21
0.9
General crime (11)
872
26.6
46AUnfair treatment by police
45
1.9
46BCriminal charge
27
1.1
46CProblem re bail/remand
4
0.2
46DPolice failing to investigate crime
106
4.4
47CAssault victim
219
9
49Property stolen/vandalised
460
18.9
53AProblem re medical treatment — prison/juvenile detention
2
0.1
53BProblem re legal advice — prison/juvenile detention
2
0.1
53CSafety threats — prison/juvenile detention
2
0.1
53DHarassment/abuse by staff — prison/juvenile detention
2
0.1
53EProblem re release — prison/juvenile detention
3
0.1
Traffic offences (2)
83
3.2
50ALoss of driver’s licence
30
1.2
50BOther traffic fine/offence you challenged
53
2.2
Family (9)Family (9)
292
8.5
25AProblem re residence/contact for child
70
2.9
25BProblem re residence/contact for grandchild
19
0.8
27AProblem re child support payments
77
3.2
27BChild protection issue
4
0.2
27CFostering/adoption/guardianship issue
6
0.2
29ADivorce/separation
81
3.3
29BDispute re matrimonial property
27
1.1
31DGuardianship problem — carer of disabled/elderly
7
0.3
57AOther family law problem
1
0
Unclassified (3)Unclassified (3)
11
0.5
31EOther problem — carer of disabled/elderly
4
0.2
43DOther problem re disability
2
0.1
57Other problem
5
0.2
a Human rights events are not related to employment.

Figure C1: Fusion coefficient at each stage of the hierarchical cluster analysis on legal event groups


Notes: N=2431 participants and 5765 events. Eleven events were excluded because they were unclassified. Clustering method: centroid method.

Table C2: Rotated Factor Matrix on legal event groups
Area of lawLegal event group
Factor 1
Factor 2
Factor 3
CivilAccident/injury
0.408
0.018
0.036
Business
-0.019
0.476
-0.013
Consumer
0.406
0.349
0.112
Credit/debt
0.234
0.507
0.074
Education
0.257
0.137
0.156
Employment
0.426
0.026
0.016
Government
0.363
0.254
0.092
Health
0.176
0.106
0.066
Housing
0.273
0.218
0.149
Human rights
0.328
0.079
0.142
Wills/estates
0.094
0.179
0.072
CriminalDomestic violence
0.182
0.016
0.337
General crime
0.382
0.19
0.107
Traffic offences
0.113
0.049
0.049
FamilyFamily
0.051
0.131
0.773
Notes: N=2431 participants and 5765 events. Eleven events were excluded because they were unclassified. Significant factor loadings are presented in bold.
Extraction method: principal component. Rotation method: varimax with Kaiser normalisation.

Table C3: Standard binary logistic regression for reporting legal eventsof any type
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
0.08
0.106
0.572
0.45
1.083
0.88
1.333
Age (years)
85.785
0
15–24
1.457
0.188
59.83
0
4.293
2.968
6.209
25–34
1.506
0.192
61.237
0
4.506
3.091
6.57
35–44
1.282
0.185
48.091
0
3.603
2.508
5.176
45–54
1.119
0.184
37.164
0
3.062
2.137
4.387
55–64
0.738
0.194
14.437
0
2.091
1.429
3.06
Indigenous status
0.099
0.273
0.13
0.718
1.104
0.646
1.885
Country of birth
0.419
0.138
9.257
0.002
1.52
1.161
1.991
Disability status
0.556
0.137
16.415
0
1.743
1.332
2.28
Personal income ($/week)
10.882
0.012
0–199
-0.738
0.229
10.35
0.001
0.478
0.305
0.75
200–499
-0.537
0.217
6.132
0.013
0.584
0.382
0.894
500–999
-0.424
0.212
4.015
0.045
0.654
0.432
0.991
Education level
24.302
0
Didn’t finish/at school
-0.36
0.197
3.349
0.067
0.698
0.475
1.026
Year 10/equivalent
-0.398
0.156
6.472
0.011
0.672
0.495
0.913
Year 12/equivalent
-0.315
0.165
3.663
0.056
0.73
0.529
1.008
Certificate/diploma
0.353
0.183
3.721
0.054
1.424
0.994
2.038
Constant
-0.067
0.271
0.06
0.806
0.936
Notes: N=1988 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C4: Standard binary logistic regression for reporting accident/injury events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
-0.345
0.123
7.869
0.005
0.708
0.557
0.901
Age (years)
60.525
0
15–24
1.771
0.281
39.801
0
5.877
3.39
10.189
25–34
1.21
0.285
17.967
0
3.353
1.916
5.866
35–44
1.084
0.286
14.354
0
2.955
1.687
5.176
45–54
0.82
0.29
7.996
0.005
2.271
1.286
4.011
55–64
0.378
0.326
1.339
0.247
1.459
0.769
2.766
Indigenous status
-0.193
0.324
0.355
0.551
0.824
0.437
1.556
Country of birth
0.416
0.176
5.553
0.018
1.515
1.072
2.142
Disability status
0.357
0.156
5.259
0.022
1.43
1.053
1.94
Personal income ($/week)
15.158
0.002
0–199
-0.674
0.236
8.181
0.004
0.509
0.321
0.809
200–499
-0.678
0.215
9.938
0.002
0.507
0.333
0.774
500–999
-0.22
0.198
1.235
0.266
0.803
0.545
1.183
Education level
5.072
0.28
Didn’t finish/at school
-0.036
0.244
0.022
0.883
0.965
0.598
1.556
Year 10/equivalent
-0.063
0.182
0.12
0.729
0.939
0.657
1.342
Year 12/equivalent
0.18
0.182
0.976
0.323
1.197
0.838
1.71
Certificate/diploma
0.281
0.184
2.325
0.127
1.325
0.923
1.902
Constant
-2.387
0.35
46.514
0
0.092
Notes: N=1988 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C5: Standard binary logistic regression for reporting consumer events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
0.151
0.116
1.702
0.192
1.163
0.927
1.459
Age (years)
58.048
0
15–24
1.956
0.296
43.567
0
7.07
3.955
12.637
25–34
1.679
0.294
32.716
0
5.362
3.016
9.534
35–44
1.609
0.293
30.259
0
5
2.818
8.872
45–54
1.291
0.295
19.096
0
3.637
2.038
6.491
55–64
0.864
0.321
7.251
0.007
2.372
1.265
4.448
Indigenous status
0.083
0.289
0.083
0.773
1.087
0.617
1.914
Country of birth
0.199
0.162
1.506
0.22
1.22
0.888
1.677
Disability status
0.719
0.143
25.47
0
2.053
1.553
2.715
Personal income ($/week)
14.782
0.002
0–199
-0.642
0.233
7.597
0.006
0.526
0.333
0.831
200–499
-0.334
0.209
2.564
0.109
0.716
0.476
1.078
500–999
-0.005
0.196
0.001
0.98
0.995
0.678
1.46
Education level
6.392
0.172
Didn’t finish/at school
-0.116
0.231
0.252
0.616
0.89
0.566
1.401
Year 10/equivalent
-0.061
0.168
0.129
0.719
0.941
0.677
1.309
Year 12/equivalent
-0.144
0.177
0.659
0.417
0.866
0.612
1.225
Certificate/diploma
0.268
0.172
2.423
0.12
1.308
0.933
1.834
Constant
-2.848
0.354
64.694
0
0.058
Notes: N=1988 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C6: Standard binary logistic regression for reporting credit/debt events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
-0.095
0.147
0.417
0.518
0.91
0.683
1.212
Age (years)
36.242
0
15–24
1.873
0.424
19.519
0
6.511
2.836
14.948
25–34
2.142
0.418
26.277
0
8.517
3.755
19.319
35–44
1.941
0.417
21.669
0
6.967
3.077
15.777
45–54
1.413
0.427
10.949
0.001
4.106
1.779
9.48
55–64
1.253
0.45
7.739
0.005
3.5
1.448
8.458
Indigenous status
0.701
0.298
5.518
0.019
2.015
1.123
3.616
Country of birth
0.327
0.221
2.197
0.138
1.387
0.9
2.139
Disability status
0.501
0.177
8.018
0.005
1.65
1.167
2.333
Personal income ($/week)
5.281
0.152
0–199
0.075
0.331
0.051
0.821
1.078
0.563
2.062
200–499
0.409
0.303
1.82
0.177
1.505
0.831
2.727
500–999
0.447
0.293
2.335
0.126
1.564
0.881
2.776
Education level
5.989
0.2
Didn’t finish/at school
0.257
0.298
0.743
0.389
1.294
0.721
2.322
Year 10/equivalent
0.489
0.218
5.027
0.025
1.631
1.064
2.502
Year 12/equivalent
0.19
0.236
0.652
0.419
1.21
0.762
1.921
Certificate/diploma
0.398
0.233
2.912
0.088
1.488
0.943
2.35
Constant
-4.66
0.524
78.993
0
0.009
Notes: N=1988 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C7: Standard binary logistic regression for reporting education events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
0.21
0.194
1.174
0.279
1.234
0.843
1.806
Age (years)
13.502
0.009
15–24
0.287
0.498
0.331
0.565
1.332
0.502
3.536
25–34
0.995
0.477
4.347
0.037
2.705
1.061
6.893
35–44
1.11
0.468
5.622
0.018
3.034
1.212
7.592
45–54
0.599
0.488
1.507
0.22
1.821
0.699
4.742
Indigenous status
0.167
0.423
0.156
0.693
1.182
0.516
2.709
Country of birth
0.5
0.285
3.077
0.079
1.648
0.943
2.88
Disability status
0.607
0.233
6.8
0.009
1.834
1.163
2.894
Personal income ($/week)
3.616
0.306
0–199
0.693
0.481
2.077
0.15
1.999
0.779
5.126
200–499
0.831
0.449
3.418
0.064
2.295
0.951
5.536
500–999
0.759
0.434
3.053
0.081
2.136
0.912
5.002
Education level
2.749
0.601
Didn’t finish/at school
0.11
0.354
0.097
0.756
1.116
0.558
2.234
Year 10/equivalent
-0.28
0.274
1.041
0.307
0.756
0.441
1.294
Year 12/equivalent
-0.279
0.283
0.971
0.324
0.757
0.435
1.317
Certificate/diploma
-0.293
0.289
1.027
0.311
0.746
0.423
1.315
Constant
-3.555
0.638
31.022
0
0.029
Notes: N=913 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C8: Standard binary logistic regression for reporting employment events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
-0.092
0.152
0.366
0.545
0.912
0.678
1.228
Age (years)
10.012
0.04
15–24
0.547
0.303
3.255
0.071
1.729
0.954
3.133
25–34
0.375
0.286
1.717
0.19
1.456
0.83
2.552
35–44
-0.068
0.308
0.049
0.824
0.934
0.511
1.706
45–54
0.507
0.291
3.038
0.081
1.66
0.939
2.934
Indigenous status
0.705
0.345
4.161
0.041
2.023
1.028
3.982
Country of birth
-0.237
0.197
1.446
0.229
0.789
0.536
1.161
Disability status
0.43
0.204
4.441
0.035
1.538
1.031
2.294
Personal income ($/week)
2.146
0.543
0–199
-0.251
0.31
0.655
0.418
0.778
0.424
1.428
200–499
-0.251
0.256
0.963
0.326
0.778
0.471
1.284
500–999
-0.011
0.227
0.002
0.961
0.989
0.634
1.542
Education level
6.59
0.159
Didn’t finish/at school
-0.42
0.344
1.489
0.222
0.657
0.335
1.29
Year 10/equivalent
-0.091
0.213
0.184
0.668
0.913
0.601
1.386
Year 12/equivalent
-0.492
0.228
4.65
0.031
0.612
0.391
0.956
Certificate/diploma
0.015
0.215
0.005
0.944
1.015
0.666
1.547
Constant
-1.294
0.345
14.07
0
0.274
Notes: N=1195 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C9: Standard binary logistic regression for reporting government events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
0.221
0.12
3.38
0.066
1.247
0.986
1.577
Age (years)
31.821
0
15–24
1.133
0.271
17.437
0
3.106
1.825
5.288
25–34
1.203
0.265
20.586
0
3.329
1.98
5.596
35–44
1.153
0.264
19.066
0
3.167
1.888
5.313
45–54
0.968
0.266
13.214
0
2.632
1.562
4.436
55–64
0.38
0.301
1.594
0.207
1.462
0.811
2.638
Indigenous status
0.311
0.29
1.151
0.283
1.364
0.773
2.406
Country of birth
0.143
0.165
0.745
0.388
1.154
0.834
1.595
Disability status
0.694
0.144
23.173
0
2.001
1.509
2.654
Personal income ($/week)
3.425
0.331
0–199
-0.343
0.24
2.038
0.153
0.709
0.443
1.137
200–499
-0.082
0.217
0.144
0.704
0.921
0.602
1.408
500–999
-0.045
0.206
0.048
0.827
0.956
0.638
1.432
Education level
14.421
0.006
Didn’t finish/at school
-0.342
0.243
1.977
0.16
0.71
0.441
1.144
Year 10/equivalent
-0.36
0.179
4.046
0.044
0.698
0.491
0.991
Year 12/equivalent
0.013
0.178
0.005
0.942
1.013
0.714
1.437
Certificate/diploma
0.26
0.176
2.174
0.14
1.297
0.918
1.832
Constant
-2.567
0.335
58.608
0
0.077
Notes: N=1988 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C10: Standard binary logistic regression for reporting housing events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
0.189
0.114
2.747
0.097
1.208
0.966
1.511
Age (years)
56.531
0
15–24
1.57
0.269
34.074
0
4.805
2.836
8.138
25–34
1.587
0.263
36.262
0
4.888
2.916
8.192
35–44
1.142
0.267
18.323
0
3.132
1.857
5.281
45–54
0.962
0.268
12.837
0
2.616
1.546
4.426
55–64
0.62
0.294
4.456
0.035
1.859
1.045
3.306
Indigenous status
0.37
0.272
1.854
0.173
1.448
0.85
2.468
Country of birth
0.046
0.155
0.088
0.767
1.047
0.772
1.42
Disability status
0.477
0.143
11.175
0.001
1.611
1.218
2.131
Personal income ($/week)
16.345
0.001
0–199
-0.89
0.224
15.726
0
0.411
0.265
0.638
200–499
-0.445
0.197
5.085
0.024
0.641
0.435
0.943
500–999
-0.411
0.187
4.831
0.028
0.663
0.46
0.957
Education level
8.358
0.079
Didn’t finish/at school
-0.236
0.221
1.143
0.285
0.79
0.513
1.217
Year 10/equivalent
-0.295
0.163
3.285
0.07
0.745
0.541
1.024
Year 12/equivalent
-0.489
0.174
7.87
0.005
0.613
0.436
0.863
Certificate/diploma
-0.169
0.171
0.986
0.321
0.844
0.604
1.179
Constant
-1.909
0.32
35.584
0
0.148
Notes: N=1988 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C11: Standard binary logistic regression for reporting wills/estates events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
0.114
0.136
0.696
0.404
1.12
0.858
1.462
Age (years)
27.475
0
15–24
-1.306
0.298
19.231
0
0.271
0.151
0.486
25–34
-0.494
0.241
4.185
0.041
0.61
0.38
0.98
35–44
-0.402
0.239
2.826
0.093
0.669
0.419
1.069
45–54
-0.038
0.231
0.027
0.87
0.963
0.613
1.513
55–64
-0.057
0.25
0.052
0.819
0.944
0.578
1.542
Indigenous status
-1.262
0.602
4.399
0.036
0.283
0.087
0.921
Country of birth
0.857
0.221
15.043
0
2.356
1.528
3.633
Disability status
0.3
0.159
3.54
0.06
1.35
0.988
1.845
Personal income ($/week)
9.869
0.02
0–199
-0.316
0.253
1.564
0.211
0.729
0.444
1.197
200–499
-0.592
0.232
6.542
0.011
0.553
0.351
0.871
500–999
-0.103
0.21
0.24
0.625
0.902
0.598
1.362
Education level
21.248
0
Didn’t finish/at school
-0.994
0.288
11.905
0.001
0.37
0.21
0.651
Year 10/equivalent
-0.712
0.195
13.381
0
0.491
0.335
0.719
Year 12/equivalent
-0.283
0.2
1.998
0.158
0.754
0.51
1.115
Certificate/diploma
-0.125
0.194
0.411
0.521
0.883
0.603
1.292
Constant
-1.605
0.334
23.109
0
0.201
Notes: N=1988 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C12: Standard binary logistic regression for reporting general crime events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
-0.137
0.108
1.619
0.203
0.872
0.705
1.077
Age (years)
56.173
0
15–24
1.791
0.252
50.58
0
5.994
3.659
9.818
25–34
1.38
0.253
29.836
0
3.977
2.423
6.526
35–44
1.461
0.25
34.078
0
4.311
2.639
7.04
45–54
1.183
0.253
21.935
0
3.263
1.989
5.353
55–64
1.001
0.27
13.799
0
2.722
1.605
4.616
Indigenous status
0.12
0.265
0.206
0.65
1.128
0.671
1.897
Country of birth
0.47
0.156
9.04
0.003
1.6
1.178
2.174
Disability status
0.502
0.134
14.05
0
1.652
1.271
2.147
Personal income ($/week)
9.684
0.021
0–199
-0.622
0.21
8.777
0.003
0.537
0.356
0.81
200–499
-0.387
0.19
4.147
0.042
0.679
0.468
0.986
500–999
-0.458
0.181
6.392
0.011
0.633
0.444
0.902
Education level
2.935
0.569
Didn’t finish/at school
-0.283
0.21
1.806
0.179
0.754
0.499
1.138
Year 10/equivalent
-0.237
0.156
2.288
0.13
0.789
0.581
1.073
Year 12/equivalent
-0.197
0.164
1.447
0.229
0.821
0.596
1.132
Certificate/diploma
-0.136
0.166
0.675
0.411
0.873
0.63
1.208
Constant
-2.16
0.309
48.714
0
0.115
Notes: N=1988 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C13: Standard binary logistic regression for reporting family events
B
SE
Wald
p
Odds ratio
95% CI for odds ratio
Lower
Upper
Gender
0.14
0.172
0.663
0.416
1.15
0.821
1.612
Age (years)
52.359
0
15–24
0.633
0.519
1.488
0.223
1.883
0.681
5.21
25–34
2.048
0.454
20.354
0
7.753
3.185
18.874
35–44
2.122
0.448
22.432
0
8.346
3.469
20.082
45–54
0.991
0.473
4.38
0.036
2.693
1.065
6.811
55–64
1.164
0.489
5.659
0.017
3.202
1.227
8.355
Indigenous status
0.725
0.348
4.339
0.037
2.065
1.044
4.085
Country of birth
0.072
0.244
0.088
0.766
1.075
0.667
1.733
Disability status
0.521
0.202
6.628
0.01
1.684
1.132
2.505
Personal income ($/week)
7.847
0.049
0–199
-0.469
0.386
1.482
0.223
0.625
0.294
1.331
200–499
0.192
0.332
0.335
0.562
1.212
0.632
2.324
500–999
0.264
0.317
0.693
0.405
1.302
0.7
2.423
Education level
8.058
0.089
Didn’t finish/at school
0.827
0.326
6.447
0.011
2.287
1.208
4.329
Year 10/equivalent
0.458
0.253
3.266
0.071
1.58
0.962
2.596
Year 12/equivalent
0.117
0.284
0.169
0.681
1.124
0.644
1.96
Certificate/diploma
0.4
0.266
2.265
0.132
1.492
0.886
2.512
Constant
-4.541
0.565
64.645
0
0.011
Notes: N=1988 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree).

Table C14: Reporting accident/injury events by each sociodemographic factor, all six LGAs, 2003

Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
194
16.1
1205
Male
272
22.2
1226
Total
466
19.2
2431
Age (years)15–24
125
31
403
25–34
107
23.1
463
35–44
88
18.3
481
45–54
83
18.4
450
55–64
35
11.7
299
65+
28
8.4
332
Total
466
19.2
2428
Indigenous statusIndigenous
14
17.5
80
Non-Indigenous
395
18.8
2106
Total
409
18.7
2186
Country of birthEnglish speaking
412
20
2062
Non-English speaking
53
14.5
366
Total
465
19.2
2428
Disability statusDisability
96
18.9
508
No disability
369
19.2
1917
Total
465
19.2
2425
Personal income ($/week)0–199
83
16.9
490
200–499
126
15.4
820
500–999
165
24
688
1000+
59
24.6
240
Total
433
19.3
2238
Education levelDidn’t finish/at school
43
15.9
270
Year 10/equivalent
106
15.9
665
Year 12/equivalent
107
21.2
505
Certificate/diploma
91
22.2
409
University degree
118
20.8
566
Total
465
19.3
2415
Note: Where the total for a given sociodemographic factor is less than 2431, data were missing on that factor.

Table C15: Reporting consumer events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
266
22.1
1205
Male
270
22
1226
Total
536
22
2431
Age (years)15–24
106
26.3
403
25–34
125
27
463
35–44
135
28.1
481
45–54
99
22
450
55–64
44
14.7
299
65+
26
7.8
332
Total
535
22
2428
Indigenous status Indigenous
20
25
80
Non-Indigenous
450
21.4
2106
Total
470
21.5
2186
Country of birthEnglish speaking
469
22.7
2062
Non-English speaking
66
18
366
Total
535
22
2428
Disability statusDisability
135
26.6
508
No disability
398
20.8
1917
Total
533
22
2425
Personal income ($/week)0–199
84
17.1
490
200–499
166
20.2
820
500–999
183
26.6
688
1000+
65
27.1
240
Total
498
22.3
2238
Education levelDidn’t finish/at school
42
15.6
270
Year 10/equivalent
133
20
665
Year 12/equivalent
107
21.2
505
Certificate/diploma
109
26.7
409
University degree
141
24.9
566
Total
532
22
2415
Note: Where the total for a given sociodemographic factor is less than 2431, data were missing on that factor.

Table C16: Reporting credit/debt events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
141
11.7
1204
Male
151
12.3
1225
Total
292
12
2429
Age (years)15–24
52
12.9
403
25–34
81
17.5
462
35–44
77
16
481
45–54
45
10
450
55–64
25
8.4
299
65+
11
3.3
331
Total
291
12
2426
Indigenous statusIndigenous
19
23.8
80
Non-Indigenous
239
11.4
2104
Total
258
11.8
2184
Country of birthEnglish speaking
260
12.6
2060
Non-English speaking
31
8.5
366
Total
291
12
2426
Disability statusDisability
73
14.4
508
No disability
218
11.4
1915
Total
291
12
2423
Personal income ($/week)0–199
48
9.8
490
200–499
103
12.6
819
500–999
93
13.5
688
1000+
23
9.6
240
Total
267
11.9
2237
Education levelDidn’t finish/at school
27
10
270
Year 10/equivalent
91
13.7
665
Year 12/equivalent
57
11.3
504
Certificate/diploma
54
13.2
409
University degree
62
11
566
Total
291
12.1
2414
Notes: Two participants did not provide information on whether they experienced credit/debt events. Where the total for a given sociodemographic factor is less than 2429, data were missing on that factor.

Table C17: Reporting education events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
103
18.7
550
Male
78
14.8
526
Total
181
16.8
1076
Age (years)15–24
35
12.5
280
25–34
47
21.6
218
35–44
65
21.5
303
45–54
28
14
200
55–64
5
9.3
54
65+
1
4.8
21
Total
181
16.8
1076
Indigenous statusIndigenous
9
22.5
40
Non-Indigenous
158
16.6
954
Total
167
16.8
994
Country of birthEnglish speaking
160
17.8
901
Non-English speaking
20
11.6
173
Total
180
16.8
1074
Disability statusDisability
42
25
168
No disability
137
15.2
904
Total
179
16.7
1072
Personal income ($/week)0–199
36
14.5
248
200–499
65
19.6
331
500–999
58
17.9
324
1000+
8
8.5
94
Total
167
16.8
997
Education levelDidn’t finish/at school
19
17.9
106
Year 10/equivalent
46
17.8
259
Year 12/equivalent
37
14.9
249
Certificate/diploma
33
17.3
191
University degree
46
17.2
267
Total
181
16.9
1072
Notes: 1076 participants were full- or part-time students, or were responsible for a student. Where the total for a given sociodemographic factor is less than 1076, data were missing on that factor.

Table C18: Reporting employment events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
136
19.6
695
Male
157
21.7
722
Total
293
20.7
1417
Age (years)15–24
63
22.6
279
25–34
82
22.2
369
35–44
51
16
318
45–54
75
24.9
301
55–64
20
16.1
124
65+
2
8
25
Total
293
20.7
1416
Indigenous statusIndigenous
14
29.8
47
Non-Indigenous
244
19.8
1232
Total
258
20.2
1279
Country of birthEnglish speaking
242
20.2
1196
Non-English speaking
51
23.3
219
Total
293
20.7
1415
Disability statusDisability
56
26.4
212
No disability
235
19.6
1201
Total
291
20.6
1413
Personal income ($/week)0–199
34
19.7
173
200–499
72
17.5
412
500–999
131
23.4
561
1000+
40
21.1
190
Total
277
20.7
1336
Education levelDidn’t finish/at school
15
15.6
96
Year 10/equivalent
70
21.2
330
Year 12/equivalent
50
16.3
307
Certificate/diploma
61
24
254
University degree
97
22.7
427
Total
293
20.7
1414
Notes: 1417 participants were employed full- or part-time at some time during the reference period. Where the total for a given sociodemographic factor is less than 1417, data were missing on that factor.

Table C19: Reporting government events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
252
20.9
1205
Male
222
18.1
1226
Total
474
19.5
2431
Age (years)15–24
80
19.9
403
25–34
112
24.2
463
35–44
113
23.5
481
45–54
101
22.4
450
55–64
36
12
299
65+
31
9.3
332
Total
473
19.5
2428
Indigenous statusIndigenous
19
23.8
80
Non-Indigenous
401
19
2106
Total
420
19.2
2186
Country of birthEnglish speaking
411
19.9
2062
Non-English speaking
62
16.9
366
Total
473
19.5
2428
Disability statusDisability
126
24.8
508
No disability
348
18.2
1917
Total
474
19.5
2425
Personal income ($/week)0–199
77
15.7
490
200–499
157
19.1
820
500–999
150
21.8
688
1000+
53
22.1
240
Total
437
19.5
2238
Education levelDidn’t finish/at school
39
14.4
270
Year 10/equivalent
94
14.1
665
Year 12/equivalent
105
20.8
505
Certificate/diploma
102
24.9
409
University degree
132
23.3
566
Total
472
19.5
2415
Note: Where the total for a given sociodemographic factor is less than 2431, data were missing on that factor.

Table C20: Reporting housing events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
286
23.7
1205
Male
264
21.5
1226
Total
550
22.6
2431
Age (years)15–24
108
26.8
403
25–34
152
32.8
463
35–44
115
23.9
481
45–54
99
22
450
55–64
48
16.1
299
65+
28
8.4
332
Total
550
22.7
2428
Indigenous statusIndigenous
22
27.5
80
Non-Indigenous
464
22
2106
Total
486
22.2
2186
Country of birthEnglish speaking
469
22.7
2062
Non-English speaking
80
21.9
366
Total
549
22.6
2428
Disability statusDisability
123
24.2
508
No disability
425
22.2
1917
Total
548
22.6
2425
Personal income ($/week)0–199
83
16.9
490
200–499
179
21.8
820
500–999
174
25.3
688
1000+
77
32.1
240
Total
513
22.9
2238
Education levelDidn’t finish/at school
52
19.3
270
Year 10/equivalent
127
19.1
665
Year 12/equivalent
102
20.2
505
Certificate/diploma
98
24
409
University degree
171
30.2
566
Total
550
22.8
2415
Note: Where the total for a given sociodemographic factor is less than 2431, data were missing on that factor.

Table C21: Reporting wills/estates events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
187
15.5
1205
Male
169
13.8
1225
Total
356
14.7
2430
Age (years)15–24
22
5.5
403
25–34
66
14.3
463
35–44
72
15
481
45–54
90
20
450
55–64
54
18.1
298
65+
52
15.7
332
Total
356
14.7
2427
Indigenous statusIndigenous
5
6.3
80
Non-Indigenous
310
14.7
2105
Total
315
14.4
2185
Country of birthEnglish speaking
325
15.8
2062
Non-English speaking
31
8.5
365
Total
356
14.7
2427
Disability statusDisability
98
19.3
508
No disability
258
13.5
1916
Total
356
14.7
2424
Personal income ($/week)0–199
56
11.5
489
200–499
94
11.5
820
500–999
123
17.9
688
1000+
53
22.1
240
Total
326
14.6
2237
Education levelDidn’t finish/at school
24
8.9
270
Year 10/equivalent
76
11.4
665
Year 12/equivalent
68
13.5
505
Certificate/diploma
72
17.6
409
University degree
116
20.5
565
Total
356
14.7
2414
Notes: One participant did not provide information on whether he experienced wills/estates events. Where the total for a given sociodemographic factor is less than 2430, data were missing on that factor.

Table C22: Reporting general crime events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
306
25.4
1205
Male
340
27.7
1226
Total
646
26.6
2431
Age (years)15–24
144
35.7
403
25–34
139
30
463
35–44
145
30.1
481
45–54
115
25.6
450
55–64
65
21.7
299
65+
37
11.1
332
Total
645
26.6
2428
Indigenous statusIndigenous
24
30
80
Non-Indigenous
549
26.1
2106
Total
573
26.2
2186
Country of birthEnglish speaking
572
27.7
2062
Non-English speaking
73
19.9
366
Total
645
26.6
2428
Disability statusDisability
155
30.5
508
No disability
490
25.6
1917
Total
645
26.6
2425
Personal income ($/week)0–199
116
23.7
490
200–499
213
26
820
500–999
186
27
688
1000+
84
35
240
Total
599
26.8
2238
Education levelDidn’t finish/at school
59
21.9
270
Year 10/equivalent
165
24.8
665
Year 12/equivalent
134
26.5
505
Certificate/diploma
111
27.1
409
University degree
174
30.7
566
Total
643
26.6
2415
Note: Where the total for a given sociodemographic factor is less than 2431, data were missing on that factor.

Table C23: Reporting family events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
No.
%
No.
GenderFemale
117
9.7
1205
Male
89
7.3
1225
Total
206
8.5
2430
Age (years)15–24
13
3.2
402
25–34
64
13.8
463
35–44
73
15.2
481
45–54
29
6.4
450
55–64
20
6.7
299
65+
7
2.1
332
Total
206
8.5
2427
Indigenous statusIndigenous
15
18.8
80
Non-Indigenous
171
8.1
2105
Total
186
8.5
2185
Country of birthEnglish speaking
181
8.8
2062
Non-English speaking
24
6.6
365
Total
205
8.4
2427
Disability statusDisability
51
10
508
No disability
154
8
1916
Total
205
8.5
2424
Personal income ($/week)0–199
24
4.9
490
200–499
79
9.6
820
500–999
68
9.9
688
1000+
15
6.3
240
Total
186
8.3
2238
Education levelDidn’t finish/at school
25
9.3
270
Year 10/equivalent
61
9.2
665
Year 12/equivalent
38
7.5
505
Certificate/diploma
39
9.5
409
University degree
42
7.4
565
Total
205
8.5
2414
Notes: One participant did not provide information on whether he experienced family events. Where the total for a given sociodemographic factor is less than 2430, data were missing on that factor.

Table C24: Reporting business events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
X2
(p)
No.
%
No.
GenderFemale
50
20.5
244
0.375
Male
72
22.6
318
(0.54)
Total
122
21.7
562
Age (years)15–24
3
11.5
26
3.932
25–34
23
20.7
111
(0.559)
35–44
38
24.7
154
45–54
35
23.6
148
55–64
16
19.5
82
65+
6
15.4
39
Total
121
21.6
560
Indigenous statusIndigenous
1
14.3
7
0.285
Non-Indigenous
114
22.8
500
(0.593)
Total
115
22.7
507
Country of birthEnglish speaking
107
22.9
467
2.974
Non-English speaking
14
14.9
94
(0.085)
Total
121
21.6
561
Disability statusDisability
29
31.2
93
5.886
No disability
93
19.8
469
(0.015)
Total
122
21.7
562
Personal income ($/week)0–199
10
17.9
56
2.252
200–499
33
23.7
139
(0.522)
500–999
34
18.3
186
1000+
28
23.5
119
Total
105
21
500
Education levelDidn’t finish/at school
5
12.2
41
16.314
Year 10/equivalent
36
32.1
112
(0.003)
Year 12/ equivalent
12
11.9
101
Certificate/diploma
22
19
116
University degree
46
24.1
191
Total
121
21.6
561
Notes: 562 participants owned a small business. Where the total for a given sociodemographic factor is less than 562, data were missing on that factor. P values < 0.05 are presented in bold.

Table C25: Reporting health events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
X2
(p)
No.
%
No.
GenderFemale
44
11.3
391
1.33
Male
33
8.8
377
(0.249)
Total
77
10
768
Age (years)15–24
8
12.1
66
4.24
25–34
14
13.7
102
(0.515)
35–44
13
9.8
133
45–54
17
9.8
173
55–64
16
10.7
149
65+
9
6.3
144
Total
77
10
767
Indigenous statusIndigenous
4
16.7
24
1.28
Non-Indigenous
62
9.6
643
(0.258)
Total
66
9.9
667
Country of birthEnglish speaking
67
9.8
681
0.271
Non-English speaking
10
11.6
86
(0.603)
Total
77
10
767
Disability statusDisability
53
10.5
506
0.226
No disability
24
9.4
256
(0.634)
Total
77
10.1
762
Personal income ($/week)0–199
20
11.3
177
2.333
200–499
34
10.9
313
(0.506)
500–999
16
9.5
168
1000+
3
4.9
61
Total
73
10.2
719
Education levelDidn’t finish/at school
9
9.4
96
0.536
Year 10/equivalent
22
9.2
238
(0.97)
Year 12/equivalent
17
11.3
151
Certificate/diploma
14
10.8
130
University degree
15
10.1
149
Total
77
10.1
764
Notes: 768 participants had chronic conditions or mental/physical disabilities, or were responsible for a person with a disability or an elderly person. Where the total for a given sociodemographic factor
is less than 768, data were missing on that factor.

Table C26: Reporting human rights events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants
reporting 1+ events
All participants
X2
(p)
No.
%
No.
GenderFemale
78
6.5
1205
1.98
Male
63
5.1
1226
(0.159)
Total
141
5.8
2431
Age (years)15–24
27
6.7
403
8.712
25–34
36
7.8
463
(0.121)
35–44
24
5
481
45–54
28
6.2
450
55–64
15
5
299
65+
11
3.3
332
Total
141
5.8
2428
Indigenous statusIndigenous
11
13.8
80
10.319
Non-Indigenous
112
5.3
2106
(0.001)
Total
123
5.6
2186
Country of birthEnglish speaking
122
5.9
2062
0.299
Non-English speaking
19
5.2
366
(0.585)
Total
141
5.8
2428
Disability statusDisability
52
10.2
508
23.53
No disability
88
4.6
1917
(0)
Total
140
5.8
2425
Personal income ($/week)0–199
36
7.3
490
5.351
200–499
49
6
820
(0.148)
500–999
33
4.8
688
1000+
9
3.8
240
Total
127
5.7
2238
Education levelDidn’t finish/at school
23
8.5
270
12.204
Year 10/equivalent
33
5
665
(0.016)
Year 12/equivalent
21
4.2
505
Certificate/diploma
34
8.3
409
University degree
29
5.1
566
Total
140
5.8
2415
Note: Where the total for a given sociodemographic factor is less than 2431, data were missing on that factor. P values < 0.05 are presented in bold.

Table C27: Reporting domestic violence events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
X2
(p)
No.
%
No.
GenderFemale
58
4.8
1205
4.706
Male
38
3.1
1226
(0.03)
Total
96
3.9
2431
Age (years)15–24
15
3.7
403
10.995
25–34
26
5.6
463
(0.051)
35–44
23
4.8
481
45–54
17
3.8
450
55–64
11
3.7
299
65+
4
1.2
332
Total
96
4
2428
Indigenous statusIndigenous
9
11.3
80
12.628
Non-Indigenous
74
3.5
2106
(0)
Total
83
3.8
2186
Country of birthEnglish speaking
89
4.3
2062
5.924
Non-English speaking
6
1.6
366
(0.015)
Total
95
3.9
2428
Disability statusDisability
26
5.1
508
2.461
No disability
69
3.6
1917
(0.117)
Total
95
3.9
2425
Personal income ($/week)0–199
16
3.3
490
3.525
200–499
39
4.8
820
(0.318)
500–999
21
3.1
688
1000+
10
4.2
240
Total
86
3.8
2238
Education levelDidn’t finish/at school
14
5.2
270
3.573
Year 10/equivalent
27
4.1
665
(0.467)
Year 12/equivalent
14
2.8
505
Certificate/diploma
19
4.6
409
University degree
21
3.7
566
Total
95
3.9
2415
Note: Where the total for a given sociodemographic factor is less than 2431, data were missing on that factor. P values < 0.05 are presented in bold.

Table C28: Reporting traffic offence events by each sociodemographic factor, all six LGAs, 2003
Sociodemographic factor
Participants reporting 1+ events
All participants
X2
(p)
No.
%
No.
GenderFemale
28
2.3
1204
6.006
Male
50
4.1
1226
(0.014)
Total
78
3.2
2430
Age (years)15–24
24
6
403
26.763
25–34
24
5.2
463
(0)
35–44
14
2.9
481
45–54
9
2
450
55–64
3
1
299
65+
4
1.2
331
Total
78
3.2
2427
Indigenous statusIndigenous
3
3.8
80
0.043
Non-Indigenous
70
3.3
2105
(0.836)
Total
73
3.3
2185
Country of birthEnglish speaking
69
3.3
2061
0.789
Non-English speaking
9
2.5
366
(0.374)
Total
78
3.2
2427
Disability statusDisability
18
3.6
507
0.228
No disability
60
3.1
1917
(0.633)
Total
78
3.2
2424
Personal income ($/week)0–199
15
3.1
489
4.711
200–499
19
2.3
820
(0.194)
500–999
27
3.9
688
1000+
11
4.6
240
Total
72
3.2
2237
Education levelDidn’t finish/at school
7
2.6
270
1.797
Year 10/equivalent
19
2.9
664
(0.773)
Year 12/equivalent
16
3.2
505
Certificate/diploma
17
4.2
409
University degree
19
3.4
566
Total
78
3.2
2414
Notes: One participant did not provide information on whether she experienced traffic offence events. Where the total for a given sociodemographic factor is less than 2430, data were missing on that
factor. P values < 0.05 are presented in bold.

Table C29: Mixed-effects binary logistic regression for action taken
B
SE
Z or X2c
pd
Odds
ratio
95% CI for odds ratio
Lower
Upper
FIXED EFFECTS
Gender
0.03
0.115
0.263
0.792
1.031
0.823
1.291
Age (years)
15.803
0.007
15–24
-0.101
0.255
-0.397
0.692
0.904
0.548
1.49
25–34
0.184
0.246
0.751
0.453
1.202
0.743
1.945
35–44
0.548
0.248
2.207
0.027
1.73
1.063
2.814
45–54
0.346
0.248
1.394
0.163
1.414
0.869
2.301
55–64
0.096
0.275
0.351
0.726
1.101
0.643
1.887
Indigenous status
-0.588
0.278
-2.115
0.034
0.555
0.322
0.958
Country of birth
0.2
0.157
1.275
0.202
1.222
0.898
1.663
Disability status
0.199
0.142
1.396
0.163
1.22
0.923
1.612
Personal income ($/week)
1.142
0.767
0–199
-0.11
0.216
-0.511
0.61
0.896
0.587
1.367
200–499
-0.197
0.196
-1.01
0.313
0.821
0.559
1.204
500–999
-0.158
0.184
-0.86
0.39
0.854
0.595
1.224
Education level
10.949
0.027
Didn’t finish/at school
-0.414
0.226
-1.832
0.067
0.661
0.425
1.029
Year 10/equivalent
-0.423
0.162
-2.608
0.009
0.655
0.477
0.9
Year 12/equivalent
-0.03
0.173
-0.172
0.863
0.971
0.691
1.363
Certificate/diploma
-0.045
0.165
-0.274
0.784
0.956
0.691
1.321
Legal event group
87.529
0
Civil
Accident/injury
0.503
0.139
3.609
0
1.653
1.258
2.173
Business
0.314
0.281
1.118
0.264
1.368
0.79
2.371
Consumer
-0.654
0.137
-4.785
0
0.52
0.398
0.68
Credit/debt
-0.7
0.452
-1.55
0.121
0.497
0.205
1.203
Education
0.057
0.21
0.272
0.786
1.059
0.702
1.597
Employment
0.488
0.158
3.1
0.002
1.629
1.196
2.218
Government
0.253
0.155
1.639
0.101
1.288
0.952
1.745
Health
0.441
0.288
1.534
0.125
1.555
0.885
2.732
Housing
-0.086
0.163
-0.524
0.6
0.918
0.667
1.264
Human rights
-0.956
0.289
-3.308
0.001
0.384
0.218
0.677
Wills/estates
0.63
0.165
3.81
0
1.878
1.358
2.596
Criminal
Domestic violence
0.28
0.334
0.839
0.401
1.324
0.688
2.547
General crime
0.005
0.193
0.024
0.981
1.005
0.689
1.466
Traffic offences
-0.906
0.48
-1.888
0.059
0.404
0.158
1.035
Family
0.331
0.214
1.544
0.123
1.392
0.915
2.119
Constant
-0.166
0.306
-0.541
0.588
0.847
0.465
1.544
RANDOM EFFECTSa
Participantb
0.905
0.114
7.936
0
a Random-effect variance term.
b Intracluster correlation=0.199.
c Z is presented for comparisons and binary predictors, and ?2 is presented for overall significance of non-binary predictors.
d 1-tailed p is presented for random effects and 2-tailed p is presented for fixed effects.
Notes: N=2380 events and 1200 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree); legal event group (average of all legal event groups).

Table C30: Mixed-effects binary logistic regression for satisfaction with assistance
B
SE
Z or x2c
pd
Odds ratio
95% CI for odds ratio
Lower
Upper
FIXED EFFECTS
Gender
0.136
0.215
0.633
0.527
1.146
0.751
1.748
Age (years)
5.164
0.396
15–24
0.363
0.583
0.622
0.534
1.437
0.458
4.504
25–34
-0.035
0.556
-0.063
0.95
0.966
0.325
2.871
35–44
-0.148
0.557
-0.267
0.79
0.862
0.289
2.568
45–54
-0.285
0.552
-0.516
0.606
0.752
0.255
2.22
55–64
0.375
0.608
0.618
0.537
1.455
0.442
4.79
Indigenous status
-0.768
0.625
-1.229
0.219
0.464
0.136
1.58
Country of birth
-0.274
0.344
-0.798
0.425
0.76
0.387
1.491
Disability status
-0.147
0.253
-0.581
0.561
0.863
0.526
1.417
Personal income ($/week)
5.471
0.14
0–199
-0.476
0.449
-1.061
0.289
0.621
0.258
1.497
200–499
0.192
0.386
0.497
0.619
1.212
0.568
2.583
500–999
-0.139
0.361
-0.384
0.701
0.871
0.429
1.767
Education level
3.681
0.451
Didn’t finish/at school
-0.089
0.471
-0.19
0.849
0.915
0.364
2.3
Year 10/equivalent
-0.178
0.316
-0.563
0.573
0.837
0.45
1.556
Year 12/equivalent
0.404
0.355
1.135
0.256
1.497
0.746
3.004
Certificate/diploma
0.013
0.316
0.041
0.968
1.013
0.545
1.882
Legal event group
41.563
0
Civil
Accident/injury
0.684
0.308
2.218
0.027
1.981
1.083
3.625
Business
0.539
0.535
1.007
0.314
1.714
0.6
4.893
Consumer
-0.412
0.288
-1.431
0.152
0.662
0.377
1.164
Credit/debt
-0.708
0.703
-1.007
0.314
0.493
0.124
1.955
Education
-0.331
0.351
-0.943
0.346
0.718
0.361
1.429
Employment
0.064
0.289
0.223
0.823
1.067
0.606
1.878
Government
-0.348
0.269
-1.293
0.196
0.706
0.416
1.197
Health
0.148
0.521
0.285
0.776
1.16
0.418
3.22
Housing
0.361
0.357
1.012
0.312
1.435
0.713
2.888
Human rights
-0.568
0.684
-0.831
0.406
0.566
0.148
2.164
Wills/estates
1.69
0.466
3.625
0
5.418
2.173
13.509
Criminal
Domestic violence
0.929
0.764
1.216
0.224
2.532
0.567
11.311
General crime
0.091
0.383
0.239
0.811
1.096
0.518
2.319
Traffic offences
-2.106
0.98
-2.15
0.032
0.122
0.018
0.83
Family
-0.032
0.368
-0.087
0.93
0.968
0.471
1.993
Recency
-0.329
0.213
-1.546
0.122
0.72
0.474
1.092
Resolution status
59.152
0
Being resolved
-0.277
0.336
-0.824
0.41
0.758
0.392
1.465
Unresolved
-1.591
0.254
-6.26
0
0.204
0.124
0.335
Constant
2.386
0.694
3.44
0.001
10.875
2.792
42.355
RANDOM EFFECTSa
Participantb
0.898
0.314
2.863
0.002
a Random-effect variance term.
b Intracluster correlation=0.197.
c Z is presented for comparisons and binary predictors, and ?2 is presented for overall significance of non-binary predictors.
d 1-tailed p is presented for random effects and 2-tailed p is presented for fixed effects.
Notes: N=1033 events and 698 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree); legal event group (average of all legal event groups); recency (0–6 months ago); resolution status (resolved).

Table C31: Mixed-effects binary logistic regression for resolution status
B
SE
Z or x2c
pd
Odds ratio
95% CI for odds ratio
Lower
Upper
FIXED EFFECTS
Gender
-0.117
0.125
-0.94
0.347
0.889
0.696
1.136
Age (years)
16.987
0.005
15–24
0.42
0.288
1.457
0.145
1.522
0.865
2.677
25–34
-0.177
0.278
-0.638
0.523
0.838
0.486
1.443
35–44
-0.126
0.281
-0.447
0.655
0.882
0.508
1.531
45–54
-0.228
0.284
-0.804
0.422
0.796
0.456
1.389
55–64
-0.456
0.313
-1.457
0.145
0.634
0.343
1.171
Indigenous status
-0.262
0.306
-0.858
0.391
0.769
0.423
1.401
Country of birth
0.128
0.173
0.738
0.461
1.136
0.809
1.596
Disability status
-0.529
0.147
-3.605
0
0.589
0.442
0.785
Personal income ($/week)
1.946
0.584
0–199
-0.31
0.237
-1.308
0.191
0.733
0.461
1.167
200–499
-0.144
0.22
-0.655
0.513
0.866
0.563
1.333
500–999
-0.101
0.207
-0.49
0.624
0.904
0.602
1.356
Education level
5.667
0.225
Didn’t finish/at school
0.462
0.256
1.806
0.071
1.587
0.961
2.619
Year 10/equivalent
0.326
0.183
1.786
0.074
1.386
0.969
1.982
Year 12/equivalent
0.322
0.187
1.724
0.085
1.379
0.957
1.989
Certificate/diploma
0.15
0.18
0.831
0.406
1.162
0.816
1.654
Legal event group
103.92
0
Civil
Accident/injury
0.91
0.172
5.297
0
2.484
1.774
3.478
Business
-0.949
0.287
-3.004
0.001
0.387
0.22
0.68
Consumer
0.167
0.158
1.055
0.292
1.182
0.866
1.612
Credit/debt
-0.245
0.549
-0.446
0.655
0.783
0.267
2.295
Education
0.198
0.23
0.859
0.391
1.219
0.776
1.914
Employment
-0.54
0.167
-3.238
0.001
0.583
0.42
0.808
Government
-0.463
0.162
-2.854
0.004
0.629
0.458
0.865
Health
-0.768
0.351
-2.187
0.029
0.464
0.233
0.923
Housing
-0.201
0.186
-1.08
0.28
0.818
0.568
1.178
Human rights
0.329
0.331
0.996
0.319
1.39
0.727
2.658
Wills/estates
0.725
0.2
3.622
0
2.064
1.395
3.055
Criminal
Domestic violence
0.114
0.328
0.349
0.727
1.121
0.59
2.13
General crime
-0.136
0.198
-0.688
0.491
0.873
0.592
1.286
Traffic offences
1.397
0.734
1.903
0.057
4.043
0.959
17.044
Family
-0.537
0.216
-2.487
0.013
0.584
0.382
0.892
Recency
0.662
0.116
5.699
0
1.939
1.544
2.435
Action taken
47.923
0
Handled alone
0.856
0.179
4.788
0
2.354
1.658
3.343
Did nothing
-0.378
0.122
-3.1
0.002
0.685
0.54
0.87
Constant
2.016
0.4
5.045
0
7.511
3.432
16.441
RANDOM EFFECTSa
Participantb
0.917
0.134
6.832
0.000c
a Random-effect variance term.
b Intracluster correlation=0.204.
c Z is presented for comparisons and binary predictors, and ?2 is presented for overall significance of non-binary predictors.
d 1-tailed p is presented for random effects and 2-tailed p is presented for fixed effects.
Notes: N=2211 events and 1142 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree); legal event group (average of all legal event groups); recency (0–6 months ago); action taken (sought help).

Table C32: Mixed-effects binary logistic regression for satisfaction with outcome of resolved legal events
B
SE
Z or x2c
pd
Odds ratio
95% CI for odds ratio
Lower
Upper
FIXED EFFECTS
Gender
-0.164
0.188
-0.873
0.383
0.849
0.588
1.226
Age (years)
1.011
0.962
15–24
-0.152
0.474
-0.322
0.748
0.859
0.339
2.173
25–34
0.06
0.475
0.126
0.9
1.062
0.419
2.692
35–44
-0.037
0.482
-0.078
0.938
0.963
0.374
2.478
45–54
0.104
0.485
0.214
0.831
1.109
0.428
2.872
55–64
0.045
0.522
0.085
0.932
1.046
0.376
2.909
Indigenous status
0.095
0.468
0.203
0.839
1.099
0.44
2.75
Country of birth
-0.347
0.278
-1.248
0.212
0.707
0.41
1.219
Disability status
0.094
0.258
0.363
0.716
1.098
0.662
1.823
Personal income ($/week)
2.214
0.529
0–199
-0.363
0.361
-1.004
0.315
0.696
0.343
1.412
200–499
0.011
0.323
0.033
0.974
1.011
0.537
1.904
500–999
-0.075
0.3
-0.249
0.804
0.928
0.515
1.671
Education level
9.35
0.053
Didn’t finish/at school
0.58
0.404
1.437
0.151
1.787
0.81
3.943
Year 10/equivalent
0.465
0.286
1.623
0.105
1.592
0.908
2.791
Year 12/equivalent
-0.074
0.271
-0.274
0.784
0.929
0.546
1.579
Certificate/diploma
-0.195
0.27
-0.72
0.472
0.823
0.485
1.398
Legal event group
131.163
0
Civil
Accident/injury
1.213
0.272
4.461
0
3.363
1.974
5.729
Business
-1.28
0.428
-2.988
0.003
0.278
0.12
0.644
Consumer
-0.51
0.211
-2.416
0.016
0.6
0.397
0.908
Credit/debt
-0.477
0.717
-0.665
0.506
0.621
0.152
2.529
Education
0.73
0.382
1.912
0.056
2.074
0.982
4.382
Employment
-0.449
0.256
-1.753
0.08
0.638
0.386
1.055
Government
-1.092
0.26
-4.202
0
0.336
0.202
0.559
Health
0.403
0.73
0.552
0.581
1.496
0.358
6.256
Housing
0.335
0.3
1.115
0.265
1.398
0.776
2.518
Human rights
0.067
0.468
0.143
0.886
1.069
0.427
2.675
Wills/estates
2.236
0.466
4.803
0
9.358
3.757
23.309
Criminal
Domestic violence
0.488
0.614
0.795
0.427
1.629
0.489
5.433
General crime
-0.84
0.304
-2.764
0.006
0.432
0.238
0.783
Traffic offences
-0.544
0.599
-0.907
0.364
0.581
0.179
1.88
Family
-0.28
0.384
-0.73
0.465
0.756
0.356
1.603
Recency
-0.363
0.174
-2.085
0.037
0.696
0.495
0.979
Action taken
26.822
0
Handled alone
0.545
0.248
2.193
0.028
1.724
1.06
2.805
Did nothing
-0.703
0.201
-3.491
0
0.495
0.334
0.735
Method of resolution
0.262
0.877
Through legal proceedings
-0.146
0.306
-0.476
0.634
0.865
0.475
1.574
Some other way
0.042
0.235
0.177
0.86
1.042
0.658
1.651
Constant
2.125
0.604
3.516
0
8.376
2.561
27.39
RANDOM EFFECTSa
Participantb
1.032
0.267
3.878
0
a Random-effect variance term.
b Intracluster correlation=0.245.
c Z is presented for comparisons and binary predictors, and ?2 is presented for overall significance of non-binary predictors.
d 1-tailed p is presented for random effects and 2-tailed p is presented for fixed effects.
Notes: N=1357 events and 879 participants. P values for significant predictors are presented in bold.
Reference categories: gender (male); age (65+ years); Indigenous status (non-Indigenous); country of birth (non-English speaking); disability status (no disability); personal income ($1000+); education level (university degree); legal event group (average of all legal event groups); recency (0–6 months ago); action taken (sought help); method of resolution (on own).

  


CLOSE
Coumarelos, C, Wei , Z & Zhou, AH 2006, Justice made to measure: NSW legal needs survey in disadvantaged areas, Law and Justice Foundation of NSW, Sydney