Home > Data and documentation > Main Survey > Variables

Mainstage Variable

hs2ownd

Household member owns other property

Datafile

hhresp

Index term

Housing Housing tenure Property ownership Second property

Value label	Value	Absolute frequency	Relative frequency
missing	-9	2	0.02%
inapplicable	-8	65	0.8%
proxy	-7	538	6.61%
refusal	-2	1	0.01%
Yes	1	834	10.24%
No	2	6704	82.32%
	Total	8144	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	2	0.02%
inapplicable	-8	68	0.81%
proxy	-7	484	5.8%
refusal	-2	6	0.07%
Yes	1	788	9.44%
No	2	6998	83.85%
	Total	8346	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	55	0.64%
inapplicable	-8	16	0.19%
proxy	-7	462	5.37%
refusal	-2	2	0.02%
Yes	1	826	9.6%
No	2	7242	84.18%
	Total	8603	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	64	0.73%
inapplicable	-8	15	0.17%
proxy	-7	442	5.08%
refusal	-2	2	0.02%
Yes	1	833	9.56%
No	2	7353	84.43%
	Total	8709	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	60	0.67%
inapplicable	-8	25	0.28%
proxy	-7	448	5.04%
refusal	-2	2	0.02%
Yes	1	804	9.04%
No	2	7558	84.95%
	Total	8897	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	63	0.7%
inapplicable	-8	13	0.14%
proxy	-7	301	3.33%
refusal	-2	1	0.01%
Yes	1	834	9.22%
No	2	7833	86.6%
	Total	9045	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	65	0.7%
inapplicable	-8	16	0.17%
proxy	-7	351	3.75%
refusal	-2	11	0.12%
Yes	1	802	8.58%
No	2	8107	86.69%
	Total	9352	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	77	0.72%
inapplicable	-8	22	0.21%
proxy	-7	246	2.31%
refusal	-2	1	0.01%
Yes	1	867	8.16%
No	2	9418	88.59%
	Total	10631	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	40	0.46%
inapplicable	-8	19	0.22%
proxy	-7	153	1.75%
Yes	1	664	7.58%
No	2	7885	90.0%
	Total	8761	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	48	0.55%
inapplicable	-8	19	0.22%
proxy	-7	54	0.61%
Yes	1	647	7.35%
No	2	8029	91.27%
	Total	8797	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	24	0.4%
inapplicable	-8	21	0.35%
proxy	-7	59	0.98%
refusal	-2	1	0.02%
don't know	-1	1	0.02%
Yes	1	469	7.81%
No	2	5430	90.42%
	Total	6005	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	10	0.16%
inapplicable	-8	23	0.38%
proxy	-7	31	0.51%
Yes	1	458	7.52%
No	2	5568	91.43%
	Total	6090	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	22	0.44%
inapplicable	-8	10	0.2%
proxy	-7	98	1.95%
don't know	-1	3	0.06%
Yes	1	478	9.5%
No	2	4422	87.86%
	Total	5033	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	18	0.35%
inapplicable	-8	14	0.27%
proxy	-7	88	1.72%
refusal	-2	1	0.02%
don't know	-1	2	0.04%
Yes	1	468	9.13%
No	2	4536	88.47%
	Total	5127	100.0%

Value label	Value	Absolute frequency	Relative frequency
missing	-9	24	0.46%
inapplicable	-8	10	0.19%
proxy	-7	211	4.03%
Yes	1	448	8.56%
No	2	4539	86.75%
	Total	5232	100.0%

Saved variables

0

Create your own Stata or R code to extract data from the main end user licence Understanding Society dataset. Find out more

What else is Understanding Society doing?

Barriers to opportunity for children and young people

One of the government’s five missions, outlined in 2025, is to Break Down Barriers to Opportunity. The aim is to weaken the links between background and destiny – as Bridget Phillipson, Secretary of State for Education and Minister for Women and Equalities, says: “Life shouldn’t come down to luck”. Understanding Society’s Insights report for this

ewr

Austerity hit young people’s mental health

We know that young people’s mental health has been declining around the world in recent years. We also know that young people’s services tend to be the first cut when budgets are reduced, because they are seen to have less urgent needs than, for example, older people. However, until now, we didn’t know much about

Unpaid work – the missing link in the gender gap

Work is a very important factor in health. Generally, employment benefits health through material and psychosocial factors such as the ability to pay for food and a home, and feelings of self-worth. These benefits vary by stress-related factors such as security, pay, hours and autonomy. All this is nothing new. But employment might be only half

Testingasdasdasdasd

sdfsdf

Email newsletter

Sign up to our newsletter

SGS ESRC Institute for Social and Economic Research University of Essex

The Economic and Social Research Council is the primary funder of the study
The Study is led by a team at the Institute for Social and Economic Research (ISER) at the University of Essex.

Visit our Bluesky Page