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Appendix C: Results

Table C1: Incidence of specific legal events, all six LGAs, 2003

Area of law	Survey question no.	Legal event group (no. of items) Legal event	Events No.	Participants %
Civil (76)		Accident/injury (4)	554	19.2
	19	Car accident — property damage	194	8
	39A	Car accident — personal injury	26	1.1
	39B	Injury at work	158	6.5
	39C	Other personal injury	176	7.2
		Business (2)	125	5
	7	Problem as landlord	48	2
	9	Problem re own business	77	3.2
		Consumer (5)	690	22
	20F	Problem re superannuation	56	2.3
	21	Problem re goods/services	257	10.6
	22	Dispute with financial institution	239	9.8
	23	Problem re insurance	117	4.8
	56	Complaint about lawyer	21	0.9
		Credit/debt (5)	384	12
	20A	Problem paying bill/debt	145	6
	20B	Dispute re credit rating	55	2.3
	20C	Problem re money owed to you	150	6.2
	20D	Problem as guarantor	11	0.5
	20E	Bankruptcy	23	0.9
		Education (6)	223	7.4
	35A	Unfair exclusion from education	10	0.4
	35B	HECS issue	28	1.2
	35C	School bullying/harassment	17	0.7
	37A	Unfair exclusion from education — parent	37	1.5
	37B	HECS issue — parent	15	0.6
	37C	School bullying/harassment — parent	116	4.8
		Employment (5)	426	12.1
	2A	Dispute re employment conditions	178	7.3
	2B	Unfair termination of employment	49	2
	2C	Workplace harassment/mistreatment	125	5.1
	2D	Workplace discrimination	72	3
	2E	Other problem re employment	2	0.1
		Government (15)	631	19.5
	5	Problem re gov. pension/benefit	112	4.6
	31C	Problem re gov. services — carer of disabled/elderly	52	2.1
	43A	Problem re gov. disability/community services	25	1
	44A	Dispute re taxation/debt	92	3.8
	43E	Other problem re gov. services — disabled person	2	0.1
	44B	Problem re freedom of information request	37	1.5
	44C	Immigration problem	30	1.2
	44D	Local council problem	158	6.5
	51	Non-traffic fines you challenged	122	5
	53A	Problem re medical treatment — immigration detention	0	0
	53B	Problem re legal advice — immigration detention	0	0
	53C	Safety threats — immigration detention	0	0
	53D	Harassment/abuse by staff — immigration detention	0	0
	53E	Problem re release — immigration detention	0	0
	57B	Problem re legal system	1	0
Civil (76)		Health (11)	90	3.2
	31B	Involuntary psychiatric hospitalisation — carer	8	0.3
	31F	Problem re quality of medical treatment — carer	16	0.7
	31G	Problem re disability facilities — carer	6	0.2
	42A	Involuntary psychiatric hospitalisation	4	0.2
	42B	Other mental health care issue	6	0.2
	43B	Problem re non-government disability services	40	1.6
	53A	Problem re medical treatment — psychiatric ward	5	0.2
	53B	Problem re legal advice — psychiatric ward	1	0
	53C	Safety threats — psychiatric ward	1	0
	53D	Harassment/abuse by staff — psychiatric ward	1	0
	53E	Problem re release — psychiatric ward	2	0.1
		Housing (11)	673	22.6
	10A	Bought/sold home	219	9
	10B	Dispute with neighbour	152	6.3
	10C	Homelessness	94	3.9
	12	Tenancy problem	121	5
	14	Home ownership problem	6	0.2
	16A	Strata title problem	55	2.3
	16B	Problem re caravan/home estate	2	0.1
	16C	Problem re boarding house/hostel	0	0
	16D	Problem re retirement home/village	1	0
	31A	Nursing home problem — carer of disabled/elderly	23	0.9
	43C	Nursing home problem — disabled person	0	0
		Human rights a (8)	196	5.8
	24A	Discrimination — marital status	28	1.2
	24B	Discrimination — age	38	1.6
	24C	Discrimination — gender	36	1.5
	24D	Discrimination — religion	22	0.9
	24E	Discrimination — sexuality	18	0.7
	24F	Discrimination — ethnicity	29	1.2
	24G	Discrimination — disability	22	0.9
	31H	Discrimination — carer of disabled/eldery	3	0.1
		Wills/estates (4)	417	14.6
	32A	Make/alter will	269	11.1
	32B	Executor of estate	53	2.2
	32C	Dispute over will/estate	34	1.4
	32D	Power of attorney	61	2.5
Criminal (16)		Domestic violence (3)	109	3.9
	47A	Victim of domestic violence by family member	64	2.6
	47B	Victim of domestic violence by household member	24	1
	48	Domestic violence allegation against you	21	0.9
		General crime (11)	872	26.6
	46A	Unfair treatment by police	45	1.9
	46B	Criminal charge	27	1.1
	46C	Problem re bail/remand	4	0.2
	46D	Police failing to investigate crime	106	4.4
	47C	Assault victim	219	9
	49	Property stolen/vandalised	460	18.9
	53A	Problem re medical treatment — prison/juvenile detention	2	0.1
	53B	Problem re legal advice — prison/juvenile detention	2	0.1
	53C	Safety threats — prison/juvenile detention	2	0.1
	53D	Harassment/abuse by staff — prison/juvenile detention	2	0.1
	53E	Problem re release — prison/juvenile detention	3	0.1
		Traffic offences (2)	83	3.2
	50A	Loss of driver’s licence	30	1.2
	50B	Other traffic fine/offence you challenged	53	2.2
Family (9)		Family (9)	292	8.5
	25A	Problem re residence/contact for child	70	2.9
	25B	Problem re residence/contact for grandchild	19	0.8
	27A	Problem re child support payments	77	3.2
	27B	Child protection issue	4	0.2
	27C	Fostering/adoption/guardianship issue	6	0.2
	29A	Divorce/separation	81	3.3
	29B	Dispute re matrimonial property	27	1.1
	31D	Guardianship problem — carer of disabled/elderly	7	0.3
	57A	Other family law problem	1	0
Unclassified (3)		Unclassified (3)	11	0.5
	31E	Other problem — carer of disabled/elderly	4	0.2
	43D	Other problem re disability	2	0.1
	57	Other 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 law	Legal event group	Factor 1	Factor 2	Factor 3
Civil	Accident/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
Criminal	Domestic violence	0.182	0.016	0.337
	General crime	0.382	0.19	0.107
	Traffic offences	0.113	0.049	0.049
Family	Family	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.
Gender	Female	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 status	Indigenous	14	17.5	80
	Non-Indigenous	395	18.8	2106
	Total	409	18.7	2186
Country of birth	English speaking	412	20	2062
	Non-English speaking	53	14.5	366
	Total	465	19.2	2428
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 birth	English speaking	469	22.7	2062
	Non-English speaking	66	18	366
	Total	535	22	2428
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	19	23.8	80
	Non-Indigenous	239	11.4	2104
	Total	258	11.8	2184
Country of birth	English speaking	260	12.6	2060
	Non-English speaking	31	8.5	366
	Total	291	12	2426
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	9	22.5	40
	Non-Indigenous	158	16.6	954
	Total	167	16.8	994
Country of birth	English speaking	160	17.8	901
	Non-English speaking	20	11.6	173
	Total	180	16.8	1074
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	14	29.8	47
	Non-Indigenous	244	19.8	1232
	Total	258	20.2	1279
Country of birth	English speaking	242	20.2	1196
	Non-English speaking	51	23.3	219
	Total	293	20.7	1415
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	19	23.8	80
	Non-Indigenous	401	19	2106
	Total	420	19.2	2186
Country of birth	English speaking	411	19.9	2062
	Non-English speaking	62	16.9	366
	Total	473	19.5	2428
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	22	27.5	80
	Non-Indigenous	464	22	2106
	Total	486	22.2	2186
Country of birth	English speaking	469	22.7	2062
	Non-English speaking	80	21.9	366
	Total	549	22.6	2428
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	5	6.3	80
	Non-Indigenous	310	14.7	2105
	Total	315	14.4	2185
Country of birth	English speaking	325	15.8	2062
	Non-English speaking	31	8.5	365
	Total	356	14.7	2427
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	24	30	80
	Non-Indigenous	549	26.1	2106
	Total	573	26.2	2186
Country of birth	English speaking	572	27.7	2062
	Non-English speaking	73	19.9	366
	Total	645	26.6	2428
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	15	18.8	80
	Non-Indigenous	171	8.1	2105
	Total	186	8.5	2185
Country of birth	English speaking	181	8.8	2062
	Non-English speaking	24	6.6	365
	Total	205	8.4	2427
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	1	14.3	7	0.285
	Non-Indigenous	114	22.8	500	(0.593)
	Total	115	22.7	507
Country of birth	English speaking	107	22.9	467	2.974
	Non-English speaking	14	14.9	94	(0.085)
	Total	121	21.6	561
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	4	16.7	24	1.28
	Non-Indigenous	62	9.6	643	(0.258)
	Total	66	9.9	667
Country of birth	English speaking	67	9.8	681	0.271
	Non-English speaking	10	11.6	86	(0.603)
	Total	77	10	767
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	11	13.8	80	10.319
	Non-Indigenous	112	5.3	2106	(0.001)
	Total	123	5.6	2186
Country of birth	English speaking	122	5.9	2062	0.299
	Non-English speaking	19	5.2	366	(0.585)
	Total	141	5.8	2428
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	9	11.3	80	12.628
	Non-Indigenous	74	3.5	2106	(0)
	Total	83	3.8	2186
Country of birth	English speaking	89	4.3	2062	5.924
	Non-English speaking	6	1.6	366	(0.015)
	Total	95	3.9	2428
Disability status	Disability	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 level	Didn’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.
Gender	Female	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 status	Indigenous	3	3.8	80	0.043
	Non-Indigenous	70	3.3	2105	(0.836)
	Total	73	3.3	2185
Country of birth	English speaking	69	3.3	2061	0.789
	Non-English speaking	9	2.5	366	(0.374)
	Total	78	3.2	2427
Disability status	Disability	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 level	Didn’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).