Tustmark Public attitudes to DIY and home improvements

Size: px
Start display at page:

Download "Tustmark Public attitudes to DIY and home improvements"

Transcription

1 Tustmark Public attitudes to DIY and home improvements METHODOLOGY NOTE ComRes interviewed,00 GB adults online between th and th October 0. Data were weighted to be representative of all GB adults aged +. ComRes is a member of the British Polling Council and abides by its rules. All press releases or other publications must be checked with ComRes before use. ComRes requires hours to check a press release unless otherwise agreed. To register for Pollwatch, a monthly newsletter update on the polls, please pollwatch@comres.co.uk

2 ONLINE Fieldwork: thth October 0 Table Q. If you were considering an extension to your property, which of the following people would you consult? Base: All home owners Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) General builder % CdE C 0 Ce 0 0% 0% Electrician 0%a dfg 0% Window and conservatory specialist 0 0 Fg k 0 0%K 0%N Roofer 0% a 0% 0 Carpenter/ Joiner A 0 DEF 0% Floor installation expert 0% E l 0% N 0% Painter/ Decorator 0% 0 0% DE l 0% n Interior designer B 0 FgH 0 FGH 0 l 0% None of the above 0% 0% 0 0% 0% k Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n small base

3 ONLINE Fieldwork: thth October 0 Table Q. If you were considering an extension to your property, which of the following people would you consult? Base: All home owners Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) None selected 0% 0% 0 0% 0% k option selected 0% 0 0% 00 eh h 0 I 0 options selected 0% 0 0% 0 options selected 0 Gh g Gh il 0% 0% options selected 00 cf 0%cf 0 K options selected 0 d 0 D D 0 options selected E ce options selected e deg 0 J N options selected 0 0 l N Average number of mentions defg.....n. Average number of mentions (Excl None of these) defg...0..n. Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n small base

4 ONLINE Fieldwork: thth October 0 Table Q. If you were considering an extension to your property, which of the following people would you consult? Base: All home owners Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West General builder 00 aj A AJ AJ AJ AJ AJ 0 aj 0 aj Electrician 0 l 0% Window and conservatory specialist 0 0 hl 0 HL 0%l Roofer L 0 0 0% 0 al L L L L Carpenter/ Joiner 0 0% 0 0 Floor installation expert h h 0 Painter/ Decorator h 0% h 0% 0 h Interior designer 0 0%a AE ABDEFGHIKL0%ae None of the above 0% CDEGi 0% dg 0% Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

5 ONLINE Fieldwork: thth October 0 Table Q. If you were considering an extension to your property, which of the following people would you consult? Base: All home owners Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West 0 0 None selected 0% CDEGi 0% dg 0% option selected J j J J 0 0%J AeJ options selected l 0% l 0% 0% l 0 efgikl 0 options selected 0 0%i 0% IK 0% IK 0 0 options selected 00 0% l 0 options selected 0 gl options selected 0 options selected ah options selected CAEHIK 0 aehik aehik k Average number of mentions Average number of mentions (Excl None of these) al..... Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

6 ONLINE Fieldwork: thth October 0 Table Q. If you were considering an extension to your property, which of the following people would you consult? Base: All home owners Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely General builder Electrician 0 Window and conservatory specialist Roofer 0 Carpenter/ Joiner 0% 0% 0 0 0% Floor installation expert 0% Painter/ Decorator 0 0% Interior designer None of the above 0% 0% 0

7 ONLINE Fieldwork: thth October 0 Table Q. If you were considering an extension to your property, which of the following people would you consult? Base: All home owners Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely 0 0 None selected 0% 0% 0 option selected options selected options selected 0 0 0% options selected options selected options selected options selected 0 options selected 0 Average number of mentions Average number of mentions (Excl None of these)

8 ONLINE Fieldwork: thth October 0 Table Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY (from poorly hung wallpaper through to exposed wiring) in a property, how would this affect your likelihood to put in an offer? Would it make you more or less likely to put in an offer, or would it make no difference? Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) More likely B 0%Gh 0%fGH Gh 0 J 0 It would make no difference 0% 0% 0 0%C 0 C C 0 C 0%C 0% 0% 0 0% Less likely 0 0 0%DEf 0 Kl 0% Don't know 0 0% 0%DEFGH 0%GH 0%GH GH i 0% Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

9 ONLINE Fieldwork: thth October 0 Table Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY (from poorly hung wallpaper through to exposed wiring) in a property, how would this affect your likelihood to put in an offer? Would it make you more or less likely to put in an offer, or would it make no difference? Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West More likely A 0 A AEhL AEHL It would make no difference 0% 0% 0% f 0% 0 0% Less likely 0 0 Jk 0 0%JK JK 0 0 j Don't know e Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

10 ONLINE Fieldwork: thth October 0 Table Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY (from poorly hung wallpaper through to exposed wiring) in a property, how would this affect your likelihood to put in an offer? Would it make you more or less likely to put in an offer, or would it make no difference? Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely More likely 00% It would make no difference 0% 0% % Less likely 0 0% % Don't know 0 0

11 ONLINE Fieldwork: thth October 0 Table Q. If you were to put in an offer on a property with significant signs of poor DIY, by how much, if at all, would you reduce an offer to take into account poor DIY? Page 0 Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) less 0 a EFgH h J less h H H k 0 less 0 FGH H fgh h less 0 EFGH EFGH less 0% 0 0 FGH Fh l l 0% less () 0% 0 0%cD cd CDEFG l 0 0% less (.) cd CDE 0 CDEf 0% More than 0% () reduction 0% H h 0 CEH H 0 0% IJ n I would not reduce my offer because of poor DIY 0% 0 gh 0% I 0%I M Mean CDEH.CDE 0.C. 0..I.IJ 0.n. Standard deviation Standard error Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

12 ONLINE Fieldwork: thth October 0 Table Q. If you were to put in an offer on a property with significant signs of poor DIY, by how much, if at all, would you reduce an offer to take into account poor DIY? Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West less Fh Fh f f less d less L L FGIL L l L FGhIKL 0 L less h H abdghk h 0 bh H bh less 0% bk 0% 0% b 0 0% less () 0 0% 0% b 0% less (.) j J 0 J 0 J j 0 J J J 0%J 0%J More than 0% () reduction AK 0 ak 0% I would not reduce my offer because of poor DIY El EhikL Mean 0.0..cAGJK 0.a 0..0A Agj Standard deviation Standard error Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

13 ONLINE Fieldwork: thth October 0 Table Q. If you were to put in an offer on a property with significant signs of poor DIY, by how much, if at all, would you reduce an offer to take into account poor DIY? Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely less less less 0 less less 0% 0 0% 0% less () % less (.) 0 0 0% More than 0% () reduction 0 0 I would not reduce my offer because of poor DIY 0 0% 0 0 Mean Standard deviation Standard error

14 ONLINE Fieldwork: thth October 0 Table Q. Which of the following would be most offputting when looking around a property with the intention of buying? Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) Visible wiring 0% 0% 0 CD CD CD 0 CD Illfitting or unfinished kitchen units 0 0%a 0 cef CEF 0 Inconveniently or poorly placed electrical sockets 0 0% egh 0% 0 0% 0 Illfitting or unfinished bathroom units 0 F f 0 f K K 0 Squeaky floorboards 00 defgh 0 g 0 Badly painted walls or woodwork degh 0 Poor grouting/ tiling EFGH FH H h j M Poorly landscaped gardens 0 fh h j 0 N Dripping taps 0 h gh GH h 0 N Poorly fitted carpets 0 EFGH 0 eh h k Poorly hung wallpaper H JKl 0 Don't know 0 g g G 0 i I i 0% 0 Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

15 ONLINE Fieldwork: thth October 0 Table Q. Which of the following would be most offputting when looking around a property with the intention of buying? Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Visible wiring 0% 0 J 0 0%J gijkl J J 0 J J 0 0%J 0%J J Illfitting or unfinished kitchen units CGJ cdgj 0 Gj Inconveniently or poorly placed electrical sockets 0 0% h 0 0 0% 0% 0% Illfitting or unfinished bathroom units Squeaky floorboards Badly painted walls or woodwork 0 Poor grouting/ tiling agi AGhIKl Poorly landscaped gardens 0 aefijkl Dripping taps 0 fk Poorly fitted carpets Agi a AeGhIK a Poorly hung wallpaper 0 Don't know 0% AbdE Abde 0 a abde Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

16 ONLINE Fieldwork: thth October 0 Table Q. Which of the following would be most offputting when looking around a property with the intention of buying? Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Visible wiring 0% 0 0 Illfitting or unfinished kitchen units 0 0% 0 0 Inconveniently or poorly placed electrical sockets 0 0% 0% 0% 0% 0% Illfitting or unfinished bathroom units 0 Squeaky floorboards 00 0 Badly painted walls or woodwork Poor grouting/ tiling 0 0 Poorly landscaped gardens 0 Dripping taps 0 0 Poorly fitted carpets 0 Poorly hung wallpaper Don't know 0% 0

17 Table Gender ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) Male 00%B C 0%C C C C 0% 0% M Female %A DEFGH 0 0% 0% 0 0 0% N Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

18 Table Gender ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Male 0 0% 0 0% 0% 0 0% 0 0% Female 0 0 0% 0% 0% 0% 00 0% Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

19 Table Gender ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Male 0 0% 0% Female 0 0 0% 0%

20 Table Age ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) A 00%DEFGH ikl 0% 0% 0% 00%CEFGH 0 0%L 0 n 0 00%CDFGH 0 l 00%CDEGH 0 I 0%I 0 I 00%CDEFH ij B 00%CDEFG Jk M Average age..0b C 0.0CD.CDE.CDEF 0.0CDEFG.J.0.J.J 0.. Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

21 Table Age ONLINE Fieldwork: thth October 0 Page 0 Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West a I ai ai 0%I I 0 ABdEFGhIKL I I CDEKL dl 0 DEKL DEKL DEKL DEKL DEKL h 0 0% j 0 J j + 0% fhj 0 J 0% fhj fhj J Average age..j 0.caFHJ. 0.fHJ.J.J.0J. 0.0aFHJ. 0.AeFGHJ 0.aFgHJ Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

22 Table Age ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely % 0% 0% % Average age

23 Table Social Grade ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) AB F 0 Fg F F efg 00%JKL 0 N C 0 0%a GH 0 GH 0 0%gH 00%IKL 0 C %IJL 0 0 M DE 0 0% 0 cde cde 0 00%IJK NET: ABC 0 0 FG 0 0%FG FG 0 FG 00%KL 00%KL 0 N 0% NET: CDE 0% 0 CDEH CDEH 00%IJ 00%IJ 0%M Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

24 Table Social Grade ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West AB h h 0 h ABDEFHIKL adefhikl H C CBFGHK ghk ghk 0% GHK BFGHK 0 GHK C A Aj AdgJl 0% AbDeGiJkL A 0 0 AJ 0% DE J cgj 0 fgij J 0 J J gij J J J NET: ABC 0 CBdEFHK h 0 0%H H H 0 bhk 0 H abdefghiklh H NET: CDE j AgJ A 0 0%aJ 0 AJ AJ J 0 AbDEFGIJKLJ AGJ J Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

25 Table Social Grade ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely AB C 0% 0 0 0% C 0 0 0% DE 00 0 NET: ABC 0 0% % NET: CDE 0% 0 0% 0

26 Employment Sector Social Grade Age Gender Private Public DE C C AB + Female Male (n) (m) (k) (j) (b) (a) Scotland 0% k ik 0%c C North East I d d d d North West D 0% D Yorkshire & Humberside m j 0% 0% 0 0 West Midlands JKL 0% 0% 0 East Midlands IJ IJ EgH 0 00 Wales j Eastern 0% Cg C C 0%C C 0% 0% 0% 0 0 London KL KL fgh DEFGH 0 0 South East j j D D 0% 0 South West 0% 0% D D 0%D 0%D D Page ONLINE Fieldwork: thth October 0 Table GO Region Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

27 Table GO Region ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Scotland %CBDEFGHIJKL North East 0 0 Ab 0 00%ABEFGHIJKL North West 0 0 AB 0 00%ABDFGHIJKL Yorkshire & Humberside 0 0 0%AB 0 00%ABDEGHIJKL West Midlands 0 0 0%AB 0 00%ABDEFHIJKL East Midlands 0 0 AB 0 00%ABDEFGIJKL Wales %CADEFGHIJKL Eastern 00 0% 00 AB 00 00%ABDEFGHJKL London AB 00%ABDEFGHIKL South East AB 00%ABDEFGHIJL South West 0 0 0%AB 0 00%ABDEFGHIJK Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

28 Table GO Region ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Scotland % North East 0 North West 0 0 Yorkshire & Humberside 0 0% 0 0 0% West Midlands 0 0% 0% 0% East Midlands 0 Wales 00 Eastern 00 0% 0 0% 0% 0 0% London 0% 0% 0% 0% South East 0 South West 0 0% 0% 0

29 Table Have you taken a foreign holiday in the last years? ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) Yes 0 0% EFG EFG 0 efg 0 JKL L L 0 No 0 0% 0 CDh CDH CDh 0 I I IJK Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

30 Table Have you taken a foreign holiday in the last years? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Yes 0 abdehikl 00 No j j J J J J 0 J J Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

31 Table Have you taken a foreign holiday in the last years? ONLINE Fieldwork: thth October 0 Page 0 NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Yes 0% 0% No 0% 0%

32 Table 0 Tenure ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) NET: Homeowners 0 0 C CD C CDF 0 CDEFG JKL L 0 0%L 0 Owned outright without mortgage CDEF 0 CDEFG JL l jl 0 M Owned with a mortgage or loan 0 CGH 0%CDFGH CGH 0%CH 0 L L L 00 N 0% NET: Renters DEFGH EGH 0 H 0 gh H I 0 0%I IJK m Rented from the council 0 DH 0 0%DEgH 0% 0 I I IJK 0% 0 Rented from a housing association deh h H 0 H I i IJK Rented from someone else a EFGH EFGH GH H 0 Rent free DEFGH h H jk Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

33 Table 0 Tenure ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West NET: Homeowners 0 0 a j AbdefJ 0%aJ ABDEFJK J aj Owned outright without mortgage 0 0% 0% Owned with a mortgage or loan 0% 0% bfj abefj 0 0%BeFJ j j NET: Renters CGHIkL gi 0 gi gi gi eghikl 0% Rented from the council 0 0 CEGIKL CEGIKL 0 egikl g EGIKL Rented from a housing association hl 0 hl hl Rented from someone else 0 0 i 0% i i adghi Rent free i Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

34 Table 0 Tenure ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely NET: Homeowners % 00% 00% Owned outright without mortgage 00% Owned with a mortgage or loan 00% 0 0 NET: Renters 00% 0 00% 00% 00% 0% Rented from the council % Rented from a housing association 00% Rented from someone else 0% 00% Rent free 00% 0

35 Table What is the highest educational level that you have achieved to date? ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) No formal education f FG Ij I Primary h Secondary school, high school, NVQ levels to, etc. 0 A 0 0% CD CDEH 0%CDE CD I IJ IJ 0 M University degree or equivalent professional qualification, NVQ level, etc. B Cf 0 0 0% Cf JKL 0 KL 0 Higher university degree, doctorate, MBA, NVQ level, etc. 0% F FGH FGH JKL KL 0 N 0 0% Still in full time education DEFGH h IKL 0 Don't know IJ Prefer not to answer 0 B ef Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

36 Table What is the highest educational level that you have achieved to date? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West No formal education aghkl Primary Secondary school, high school, NVQ levels to, etc. 0 J A 0 AgJ aj J J aj AefGJ AJ 0 AJ University degree or equivalent professional qualification, NVQ level, etc. CDfIjK 0 0% i 0 i Higher university degree, doctorate, MBA, NVQ level, etc. 0% 0% 0 0% ABDEFGHIKL Still in full time education i Ik i aefghikl Don't know Prefer not to answer 0 l Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

37 Table What is the highest educational level that you have achieved to date? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely No formal education Primary Secondary school, high school, NVQ levels to, etc % 0% University degree or equivalent professional qualification, NVQ level, etc. 0% 0 Higher university degree, doctorate, MBA, NVQ level, etc. 0% 0 Still in full time education 0 0 Don't know Prefer not to answer 0

38 ONLINE Fieldwork: thth October 0 Table Thinking about your household's food and grocery shopping, are you personally responsible for selecting half or more of the items to be bought from supermarkets and food shops? Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) Yes responsible for half or more of the items bought 0 A 0 Ch CDH CDH CDH 0 C 0% 0 0% No not responsible for most of the items bought B DEFGH EFG defg 0% 0% 0 Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

39 ONLINE Fieldwork: thth October 0 Table Thinking about your household's food and grocery shopping, are you personally responsible for selecting half or more of the items to be bought from supermarkets and food shops? Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Yes responsible for half or more of the items bought 0 K 0 0% 0% adeijk K 0 k 0 0% 0% 0 K No not responsible for most of the items bought f 0%F 0%F 0 0 0%F 0%F BFGhL Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

40 ONLINE Fieldwork: thth October 0 Table Thinking about your household's food and grocery shopping, are you personally responsible for selecting half or more of the items to be bought from supermarkets and food shops? Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Yes responsible for half or more of the items bought 0 0% 0 No not responsible for most of the items bought 0% 0

41 Table How many cars are there in your household? ONLINE Fieldwork: thth October 0 Page 0 Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) No cars in the household 0% 0%EGH H 0%h H IK 0 IJK 0% NET: Any 0% 0% 0%C C 0 CDeF JL L JL 0 0% b 0 0% 0% 0 C 0%C CD CDEFg 0% 0 IJ 0 00 cfg jl L L 0 n 0 0% + 0 EH EH EH EH L 0%L L Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

42 Table How many cars are there in your household? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West No cars in the household 0%CFGHIKL GI 0% GI fghikl 0 BDEFGHIKL NET: Any 0% J 0%A J J AeJ ABDEJ 0 AEJ ABDEJ AEJ AEJ eg 0% g 0 g j 0 j 0%J ADeJL 0%J ADeJkL 0 0 J + 0 j ADEFhJ j 0 0%J ADEFJ dej Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

43 Table How many cars are there in your household? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely No cars in the household 0% 0% 0% 0 NET: Any 0% 0% 0% 0% 0% 0% + 0 0% 0%

44 Table To which of the following ethnic groups do you consider you belong? ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) White 0 0 C 0 C CDe 00%CDEFh CDEF 0% 0 0% 0 IJk 0% NET: Nonwhite 0%DEFGH 0 FGH GH 0 GH L L 0 0 0% Mixed GH GH GH gh 0 Asian 0%dEFGH FGH FGH l 0 Black a EGH 0 Gh G Gh l KL Chinese N Other ethnic group h Prefer not to answer 0 0 DEFGH f f L Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

45 Table To which of the following ethnic groups do you consider you belong? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West White CeGJk CgJ gj 0 J GJ J J J 0% J 0 J NET: Nonwhite AB ad AbDF ABDEFGHIKL 0 ad Mixed a AbdE Asian a i adfik 0%ABDEFGHIKL adfik Black a 0 ABDEFGHIKL Chinese Other ethnic group Prefer not to answer 0 0 aeil Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

46 Table To which of the following ethnic groups do you consider you belong? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely White 0 0% 00 NET: Nonwhite 0% 0% 0 Mixed 0 Asian Black 0 Chinese Other ethnic group Prefer not to answer 0 0

47 Table To which of the following religious groups do you consider yourself to be a member of? ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) Christian 0 C CD CD CDEF CDEFG 0 NET: Other 0 0%FGH fgh GH h Muslim FGH GH fgh 0 0 n Hindu fgh h fgh Jewish 0 Sikh B fh jl Buddhist Other 0 gh 0 0 None defgh EGH GH GH 0 0% Prefer not to say 0 EFH l Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

48 Table To which of the following religious groups do you consider yourself to be a member of? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Christian 0 0% cafijl AfhIJkL 0 0 NET: Other 0 ABDEFGHIKL Muslim AIkL AdgIKL Hindu 0 Efgik Jewish 0 efgikl Sikh aefikl Buddhist ck Other f f AFg None bdgj j 0 bdgj 0%j bdgj 0 j bj Prefer not to say e bdeik BDEFIKl Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

49 Table To which of the following religious groups do you consider yourself to be a member of? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Christian NET: Other 0 Muslim 0 0% Hindu Jewish 0 Sikh Buddhist Other None 00 0% Prefer not to say 0

50 Table Which of the following best describes where you live? ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) NET: Urban 00 B 0 GH 0 FGH 0 GH H h 0 0% 0% Urban Population over 0,000 B EFGH 0%EFgH H 0 KL KL Town and Fringe A CdGh C 0 c IJ 0 IJ 0 M NET: Rural A D CDE 0%CDEFg 0% 0 Village A 0%d 0 CDEFG 0 n Hamlet & Isolated Dwelling 0 CDEF cdef K K Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

51 Table Which of the following best describes where you live? ONLINE Fieldwork: thth October 0 Page 0 Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West NET: Urban B B BH ABfgHIKL Bh BH 0 B ABDEFGHIKLBh B Urban Population over 0,000 BK 0 B bk 0%bK 0 ABDEFGHIKL k Town and Fringe J 0 0%J ABJ 0 ABfhJl J abj J 0%J ABfHJl J NET: Rural EJ CADEFGIJKL J 0 J ej ej DEfGJk EJ EJ EJ Village J 0 CADEFGIJKL 0 J J EJ J ADEfGJKL dej 0 EJ 0%EJ Hamlet & Isolated Dwelling CEFgHIJK cfhj FhJ j fj FHJK Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

52 Table Which of the following best describes where you live? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely NET: Urban 0% 0 Urban Population over 0,000 0% 0% Town and Fringe 0% NET: Rural % Village 0 0% 0 Hamlet & Isolated Dwelling 0 0 0

53 Table Which of the following best describes your current working status? ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) NET: Working B 0 gh CfGH 0 0%CFGH CGH H 0% L ikl L 0 00% 00% Working full time working 0 hours per week or more 0 B 0 gh 0 CeFGH CfGH 0 CGH 0 H 0 0%L L L 0 0% Working part time working between and hours per week 0 A DH DH DH DH 0% NET: Not working 0 A DEF 0% 0 de cdef 0 0%CDEFG j J IJK Not working but seeking work or temporarily unemployed or sick 0 H 0%eH H 0%cEgH H i IJK Not working and not seeking work/ student DEFGH H 0 H H eh 0 0 I IjK Retired on a state pension only 0 A 0 CDEF 0 CDEFG IJ 0%IJK Retired with a private pension B e CDEF CDEFG JKL L L 0 House person, housewife, househusband, etc. A H H CdH CDH H 0 0 IJ IJ Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

54 Table Which of the following best describes your current working status? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West NET: Working 0 0%DK K 0 0%dK 0 0%DK dk 0 BDeIKL Working full time working 0 hours per week or more DKl 0 dk 0 0%DKl DKl DK DeiKL Working part time working between and hours per week 0 0 0% 0% NET: Not working 0% J 0 AfGhJ j 0% 0% J 0 AEFGHJ J Not working but seeking work or temporarily unemployed or sick 0 0 FGIJL Not working and not seeking work/ student l hikl Retired on a state pension only 0 cj Retired with a private pension 0 0 afhj j j 0 J 0 aj 0 aj House person, housewife, househusband, etc. 0%J 0%J 0%bgJ 0 bgj Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

55 Table Which of the following best describes your current working status? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely NET: Working Working full time working 0 hours per week or more % 0% 0% 0 Working part time working between and hours per week 0 0% 0% 0 NET: Not working 0 0 Not working but seeking work or temporarily unemployed or sick 0 Not working and not seeking work/ student 0 Retired on a state pension only 0 Retired with a private pension % House person, housewife, househusband, etc. 0% 0%

56 Table Do you work in any of the following occupations? who work ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) NET: Public Sector A 0 0 KL 0 k 0 00%N Central government including all administrative departments and central government agencies such as the Bank of England 0 F 0 KL kl N HM Forces ij N National Health Service 0 0 0%Jk N Universities and Academies funded by government a l N Courts service N Local government administration A C 0 c c c IL 0 N Police service IKL N Public sector housing N Teaching employed by local education authority including voluntary aided schools and foundation schools a 0 JKl N Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n small base; very small base (under 0) ineligible for sig testing

57 Table Do you work in any of the following occupations? who work ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) Public corporations such as the Royal Mail or British Nuclear fuels or Driving Standards agency 0 b i N Bradford and Bingley or Northern Rock Building societies Other public sector occupation (please specify as much detail as possible) 0 0 e j 0 N None of the above (Private Sector) B Ij I 00%M Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n small base; very small base (under 0) ineligible for sig testing

58 Table Do you work in any of the following occupations? who work ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West NET: Public Sector 0 cf 0 0% Central government including all administrative departments and central government agencies such as the Bank of England K K K Kl HM Forces National Health Service f 0%Fi F 0 F 0%Fi F F f Universities and Academies funded by government 0 k k k Courts service Local government administration j j Police service 0 Public sector housing EfgJ Teaching employed by local education authority including voluntary aided schools and foundation schools gh 0 aghj Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

59 Table Do you work in any of the following occupations? who work ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Public corporations such as the Royal Mail or British Nuclear fuels or Driving Standards agency 0%CAEFGhIJKL j Bradford and Bingley or Northern Rock Building societies Other public sector occupation (please specify as much detail as possible) 0 0 Cj None of the above (Private Sector) b B 0% Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

60 Table Do you work in any of the following occupations? who work ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely NET: Public Sector 0 0% Central government including all administrative departments and central government agencies such as the Bank of England HM Forces National Health Service 0 Universities and Academies funded by government 0 Courts service Local government administration 0 Police service 0 Public sector housing 0% Teaching employed by local education authority including voluntary aided schools and foundation schools Public corporations such as the Royal Mail or British Nuclear fuels or Driving Standards agency 0

61 Table Do you work in any of the following occupations? who work ONLINE Fieldwork: thth October 0 Page 0 NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Bradford and Bingley or Northern Rock Building societies Other public sector occupation (please specify as much detail as possible) % 0% None of the above (Private Sector) 0 0% 0 0

62 Table Do you have any children aged or under? If so, how old are they? ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) No children aged or under B 0 DEF E E CDEF CDEFG 0% i 0 i 0 NET: Yes A GH CGH CDFGH CGH H 0%l 0 Yes children aged under years old 0% A FGH CEFGH FGH GH 0 0 Yes children aged to 0 years old 0 GH 0%CFGH CDFGH 0%GH 0 L Yes children aged to years old 0 0% 0 H GH CDGH 0 0%CDGH 0% 0% Yes children aged to years old a CDGH CDGH CDH Refused N Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

63 Table Do you have any children aged or under? If so, how old are they? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West No children aged or under 0% 0 NET: Yes 0% 0 Yes children aged under years old 0% 0% 0 adeghikl 0% Yes children aged to 0 years old 0 ik 0 K k k K k ik k Yes children aged to years old 0 0% 0% 0 0% 0% 0% f f 0% f 0% Yes children aged to years old b b b 0 b 0 b b B B Refused aefijkl Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

64 Table Do you have any children aged or under? If so, how old are they? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely No children aged or under 0 0 NET: Yes 0 0 0% 0 Yes children aged under years old 0% 0% 0 Yes children aged to 0 years old 0 0 0% Yes children aged to years old 0 0% 0% Yes children aged to years old 0% 0% 0 0 Refused

65 Employment Sector Social Grade Age Gender Private Public DE C C AB + Female Male (n) (m) (k) (j) (b) (a) Anglia 0% i Cg CefG 0% 0% 0% Border Central j j J g Granada 0% D D 0% London 0% 0% KL KL h h DEFGH 0%A Meridian Cd C C C b STV k K k 0%C Cg Tyne Tees I d d d d 0 0 Wales n J West Westcountry D D D d D Yorkshire 0% ij e 0% 0% 0% 0% Page ONLINE Fieldwork: thth October 0 Table 0 Which of the following ITV regions do you live in? Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

66 Table 0 Which of the following ITV regions do you live in? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Anglia 0% AB 0 ABDEFGJKL ABDEFGHJKL 0 AbEFGJL Border CBDFGHIJKL 0 0 BdFGHIJKL Central AB 0 ABDEFHIJKL ABDEFIJKL aefj j Granada 0 ADFGHIJKL A 0 ABDFGHIJKL London 0%AB ABDEFGHL 00%ABDEFGHIKLABDEFGHIL Meridian AB 0%ABDEFGHIJL ABDEFGHIJ STV CBDEFGHIJKL Tyne Tees 0 0 Ab ABEFGHIJKL Wales CADEFGHIJKL West Ab AFhIJK ABDEFGHIJK Westcountry 0 0 AB 00 ABDEFGHIJK Yorkshire 0 0% 0 AB ABDEGHIJKL ABDEGIJKL k Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

67 Table 0 Which of the following ITV regions do you live in? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Anglia 0% 0 Border Central 0 0% 0% Granada 0 0% 0 0 London Meridian 0% 0% 0% STV 0 0% Tyne Tees 0 0 Wales 0 West 0 Westcountry 0 Yorkshire 0 0% 0 0

68 Table Marital Status ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) Single 0%B DEFGH EFGH GH H H IK 0 Ik NET: Married/ Civil partnership/ co habiting 0% 0% C CDG Cd 0 0%C 0 0%CDG JL JL 0 0 Married 0 0 C CD CD CD CDEFG JL 0%L Civil Partnership b GH GH h GH IJl Co Habiting 0 A 0 FGH FGH FGH gh NET: Widowed/ separated/ divorced A CD CDE CDEF 00 CDEF 0% IJ 0 Widowed A d CDEF CDEFG k IK Separated d D D ij J Divorced 0 CD 0%CDE CDEf CDE i Prefer not to answer F f Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

69 Table Marital Status ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Single bgil gil BDfGHIKL NET: Married/ Civil partnership/ co habiting j 0 AeJ 0%ADEJk 0 J AeJ J J Married 0 0% j aej 0 AEJ 00 AEJ Civil Partnership ABDEGHIJKL e Co Habiting 0% K dik dik k NET: Widowed/ separated/ divorced 0 f 0%aFGiJk f f Fg Widowed F F F Fhi f f 0 F f Separated 0 ag Divorced 0 aefgjk 0 0% 0%e Prefer not to answer cg g Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

70 Table Marital Status ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Single 0% 0% 0 0% 0 NET: Married/ Civil partnership/ co habiting 0 0% 0 0 0% 0% 0% Married 0 Civil Partnership 0 0 Co Habiting NET: Widowed/ separated/ divorced Widowed 0 Separated Divorced Prefer not to answer

71 Employment Sector Social Grade Age Gender Private Public DE C C AB + Female Male (n) (m) (k) (j) (b) (a) Glasgow ik Ik 0 0 Edinburgh kl 0 0 Newcastle D D D d d Leeds h ch Hull e Sheffield J J j E 0 Manchester 0% Dh 0 0 Liverpool I Nottingham I Ij h 0 0 Birmingham 0% JkL 0% 0 Norwich I cg CG 0 0 Milton Keynes Brighton CD CD c CD Oxford ij F f Page 0 ONLINE Fieldwork: thth October 0 Table Which of the following cities do you live in, or nearest to? Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

72 Table Which of the following cities do you live in, or nearest to? ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) 00 0 London 0% a DEFGH 0% 0%h KL KL Southampton 0 Bristol 0 Plymouth d D D D 0 Cardiff None of these 0 0% 0% 0 0% 0 0% 0 0%j Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

73 Table Which of the following cities do you live in, or nearest to? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West Glasgow CBDEFGHIJKL Edinburgh CBDEFGHIJKL Newcastle Ab ABEFGHIJKL k Leeds AB ABDEGHIJKL Hull ABDEGHIJKL Sheffield a 0 ABDEGHIJKL ABdEGIJKL Manchester aijkl AB ABDFGHIJKL AdFHIJKL Liverpool CADFGHIJKL A AbDFGHIJKL Nottingham AB AEJKL 0%ABDEFGIJKL k Birmingham ejk AB ABDEFHIJKL0%ABDEFIJKL Norwich AB ej ABDEFGHJKL Milton Keynes A ABDEFGJKL ABDEFGHJKL aefgjl Brighton A 0%ABDEFGHIJL Oxford ABDEFGHIJL aeij Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

74 Table Which of the following cities do you live in, or nearest to? ONLINE Fieldwork: thth October 0 Page Scotland (a) Wales (b) NET: England North East North West Region Yorkshire & Humberside West Midlands East Midlands Eastern London (j) South East (k) South West London 0% AB egl ABDEFGHL 00%ABDEFGHIKLABDEFGHIL Southampton AB ABDEFGHIJL ABDEFGHIJ Bristol AB k ABDEFGHIJK Plymouth Ab ABDEFGHIJK Cardiff CADEFGHIJKL None of these CDeFJL CDEFJkL J J J 0%J dfj 0 DeFJL J J Proportions/Means: Columns Tested (, 0% risk level) a/c b/c a/b/d/e/f/g/h/i/j/k/l small base

75 Table Which of the following cities do you live in, or nearest to? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Glasgow Edinburgh 0 Newcastle Leeds 00 Hull 0 Sheffield 0 Manchester 0 0 Liverpool Nottingham Birmingham 0% 0 Norwich Milton Keynes Brighton 0 Oxford London 0% 0% 0 0%

76 Table Which of the following cities do you live in, or nearest to? ONLINE Fieldwork: thth October 0 Page NET: Homeowners Owned outright Owned with mortgage Tenure NET: Renters Council Rent HA Rent Other rent Rent free Q. Thinking generally about viewing property to buy, if you were to spot significant signs of poor DIY, how would this affect your likelihood to put in an offer? It would make More likely no difference Less likely Southampton Bristol Plymouth Cardiff 0 0 None of these 0 0% 0 0% 0% 00

77 Table What is the combined annual income of your household, prior to tax being deducted? ONLINE Fieldwork: thth October 0 Page Gender Male Female (a) (b) Age + AB Social Grade C C (j) (k) DE Employment Sector Private Public (m) (n) Up to,000 (.) DEFGH H H H H IK IJK m,00 to (0.),000 0 e de de cdefg 0%I I IJK 0%M,00 to (.),000 0% 0 d 0%cD CDEF 0% I I 0%I,00 to (.),000 0%ce 0%cE L,00 to (),000 c 0 0%CDE CD CDE L L l,00 to (.),000 FgH 0%L L 0 L 0%,00 to (.),000 b H 0%fGH cfgh H 0 L 0 L L 0%,00 to (.),000 H 0 CH H ch L L L,00 to (.),000 FGH EFGH fh h JKL 0 0,00 to (.),000 H 0 H H H JKL 0 kl N,00 to (.),000 FH FH fh L L l,00 to (.),000 cefgh l,00 or more () DFH f JKL kl Prefer not to answer 0 A DEf 0 d 0 Proportions/Means: Columns Tested (, 0% risk level) a/b c/d/e/f/g/h i/j/k/l m/n

Gender Recognition Act Survey ONLINE Fieldwork: 19th-21st October 2018

Gender Recognition Act Survey ONLINE Fieldwork: 19th-21st October 2018 Recognition Act Survey ONLINE Fieldwork: thst October 0 Table Q. Do you think that those who wish to legally change their gender on official documentation (e.g. birth certificate, passport) should or should

More information

J JUL - 25-JUL 2016 HOUSEHOLD FINANCES RESEARCH

J JUL - 25-JUL 2016 HOUSEHOLD FINANCES RESEARCH J00 JUL JUL 0 Table XF0 In terms of your finances, how often if at all, do you and your household find yourselves without enough money to buy enough food? BASE: ALL ADULTS AGED + IN GREAT BRITAIN Page

More information

CHURCH URBAN FUND FOOD POVERTY SURVEY

CHURCH URBAN FUND FOOD POVERTY SURVEY CHURCH URBAN FUND FOOD POVERTY SURVEY Methodology: ComRes interviewed,0 British adults aged + online between th and th January 0. Data were weighted to be representative of all British adults aged + by

More information

BBC Olympics Legacy Survey

BBC Olympics Legacy Survey BBC Olympics Legacy Survey METHODOLOGY NOTE ComRes interviewed, UK adults by telephone between the th and st July 0. Data were weighted to be representative of all adults aged + in the UK. ComRes is a

More information

Citizens Advice Telecoms Polling

Citizens Advice Telecoms Polling Citizens Advice Telecoms Polling ComRes interviewed, British adults online between th and th January 0. Data were weighted to be demographically representative of all GB adults by age, gender, region and

More information

Energy Use in Homes. A series of reports on domestic energy use in England. Energy Efficiency

Energy Use in Homes. A series of reports on domestic energy use in England. Energy Efficiency Energy Use in Homes A series of reports on domestic energy use in England Energy Efficiency Energy Use in Homes A series of reports on domestic energy use in England This is one of a series of three reports

More information

THE PR OFFICE VOTING INFLUENCERS PUBLIC POLL

THE PR OFFICE VOTING INFLUENCERS PUBLIC POLL THE PR OFFICE VOTING INFLUENCERS PUBLIC POLL Methodology: ComRes interviewed,0 British adults online between Wednesday st May and Thursday st June 0. Data were weighted by age, gender, region and socioeconomic

More information

Chapter 30 Design and Analysis of

Chapter 30 Design and Analysis of Chapter 30 Design and Analysis of 2 k DOEs Introduction This chapter describes design alternatives and analysis techniques for conducting a DOE. Tables M1 to M5 in Appendix E can be used to create test

More information

Energy Use in Homes 2004

Energy Use in Homes 2004 Energy Use in Homes 2004 A series of reports on domestic energy use in England Space and Water Heating Energy Use in Homes 2004 A series of reports on domestic energy use in England This is one of a series

More information

We, the People Crime Poll

We, the People Crime Poll We, the People Crime Poll Methodology: ComRes interviewed,00 British adults online between th and th March 0. Data were weighted to be representative of all GB adults by age, gender and socioeconomic grade.

More information

Energy Use in Homes 2007

Energy Use in Homes 2007 Energy Use in Homes 2007 A series of reports on domestic energy use in England Space and Water Heating Energy Use in Homes 2007 A series of reports on domestic energy use in England This is one of a series

More information

Energy Use in Homes 2004

Energy Use in Homes 2004 Energy Use in Homes 2004 A series of reports on domestic energy use in England Thermal Insulation Energy Use in Homes 2004 A series of reports on domestic energy use in England This is one of a series

More information

Published by the Stationery Office, Dublin, Ireland.

Published by the Stationery Office, Dublin, Ireland. An Phríomh-Oifig Staidrimh Central Statistics Office Published by the Stationery Office, Dublin, Ireland. Available from the: Central Statistics Office, Information Section, Skehard Road, Cork October

More information

The Garden Bridge Trust: London Public Polling

The Garden Bridge Trust: London Public Polling The Garden Bridge Trust: London Public Polling METHODOLOGY NOTE ComRes interviewed,0 London adults online between th and th July 0. Data were weighted to be representative of all London adults aged +.

More information

Acas: Race Equality Impact Assessment of Acas Training Services

Acas: Race Equality Impact Assessment of Acas Training Services Acas: Race Equality Impact Assessment of Acas Training Services Description of Service / Product Acas runs a series of training sessions on a variety of employment issues from half-day to full-day sessions

More information

Manchester City Region: The case for agglomeration economies. Steve Gibbons Henry Overman Alessandra Tucci

Manchester City Region: The case for agglomeration economies. Steve Gibbons Henry Overman Alessandra Tucci Manchester City Region: The case for agglomeration economies Steve Gibbons Henry Overman Alessandra Tucci Objectives Explain agglomeration economies Review of existing evidence Primary evidence on role

More information

Statistical Design and Analysis of Experiments Part Two

Statistical Design and Analysis of Experiments Part Two 0.1 Statistical Design and Analysis of Experiments Part Two Lecture notes Fall semester 2007 Henrik Spliid nformatics and Mathematical Modelling Technical University of Denmark List of contents, cont.

More information

Growing Lagging Regions:

Growing Lagging Regions: Growing Lagging Regions: Case study: North of England OECD seminar, June 28 2010 Richard Baker Policy & Research Manager, Northern Way richard.baker@thenorthernway.co.uk Presentation Address discussion

More information

Surrey Pay Offer non-schools 1 July 2017 to 30 June 2018 ADDITIONAL INFORMATION REQUESTED

Surrey Pay Offer non-schools 1 July 2017 to 30 June 2018 ADDITIONAL INFORMATION REQUESTED Surrey Offer non-schools 1 July 2017 to 30 June 2018 ADDITIONAL INFORMATION REQUESTED Contents Table 1: Headcount across pay models for non-schools Table 2: 2016 pay bands for job family and leadership

More information

Research Proposal Funding Rates

Research Proposal Funding Rates Research Proposal Funding Rates 2015-2016 Funding rates have been calculated from the number and value of research proposals announced or rejected between 1 April 2015 and 31 March 2016. In this period,

More information

The Church Demographic Specialists

The Church Demographic Specialists The Church Demographic Specialists Easy-to-Use Features Map-driven, Web-based Software An Integrated Suite of Information and Query Tools Providing An Insightful Window into the Communities You Serve Key

More information

Answers Investigation 3

Answers Investigation 3 Answers Investigation Applications. a., b. s = n c. The numbers seem to be increasing b a greater amount each time. The square number increases b consecutive odd integers:,, 7,, c X X=. a.,,, b., X 7 X=

More information

Mapping the Route Identifying and Consulting with HS2 s Impacted Populations

Mapping the Route Identifying and Consulting with HS2 s Impacted Populations Tuesday 6 December 2016 Mapping the Route Identifying and Consulting with HS2 s Impacted Populations Carry Stephenson, Evelyn Robertson SYSTRA Michael Flynn HS2 Summary Study Context and Objectives Methodology

More information

Poole Hospital NHS Foundation Trust. Equality and Diversity Workforce Monitoring Report

Poole Hospital NHS Foundation Trust. Equality and Diversity Workforce Monitoring Report Poole Hospital NHS Foundation Trust Equality and Diversity Workforce Monitoring Report 1. INTRODUCTION 1.1 This report provides workforce data relating to the diversity of Trust staff for the period 1

More information

Answers. Investigation 3. ACE Assignment Choices. Applications. = = 210 (Note: students

Answers. Investigation 3. ACE Assignment Choices. Applications. = = 210 (Note: students Answers Investigation ACE Assignment Choices Problem. Core,,, Other Applications ; Connections, ; Etensions 7, ; unassigned choices from previous problems Problem. Core, Other Connections 7; Etensions

More information

SPATIAL INEQUALITIES IN PUBLIC TRANSPORT AVAILABILITY: INVESTIGATION WITH SMALL-AREA METRICS

SPATIAL INEQUALITIES IN PUBLIC TRANSPORT AVAILABILITY: INVESTIGATION WITH SMALL-AREA METRICS SPATIAL INEQUALITIES IN PUBLIC TRANSPORT AVAILABILITY: INVESTIGATION WITH SMALL-AREA METRICS Research conducted by Yeran Sun and Piyushimita (Vonu) Thakuriah Presented by Obinna C.D. Anejionu INTRODUCTION

More information

Welcome to GCSE Geography. Where will it take us today?

Welcome to GCSE Geography. Where will it take us today? Welcome to GCSE Geography Where will it take us today? Urban Futures Dynamic Development Resource Reliance UK in the 21 st Century Global Hazards Changing Climate Distinctive Landscapes Sustaining Ecosystems

More information

Just a Few Keystrokes Away

Just a Few Keystrokes Away 0 8/8/2018 Financial Literacy Just a Few Keystrokes Away 1 Table of Contents Page 0 Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Page 8 Page 9 Page 10 Page 11 Page 12 Page 13 Page 14 Page 1518 Cover

More information

ACS Multiyear PUMS Estimates and Usage: User-Created PUMS Files. Nate Ramsey U.S. Department of Education

ACS Multiyear PUMS Estimates and Usage: User-Created PUMS Files. Nate Ramsey U.S. Department of Education ACS Multiyear PUMS Estimates and Usage: User-Created PUMS Files Nate Ramsey U.S. Department of Education Research Questions 1. How accurate are concatenated single-year PUMS file estimates? 2. How often

More information

Apéndice 1: Figuras y Tablas del Marco Teórico

Apéndice 1: Figuras y Tablas del Marco Teórico Apéndice 1: Figuras y Tablas del Marco Teórico FIGURA A.1.1 Manufacture poles and manufacture regions Poles: Share of employment in manufacture at least 12% and population of 250,000 or more. Regions:

More information

Parts Manual. EPIC II Critical Care Bed REF 2031

Parts Manual. EPIC II Critical Care Bed REF 2031 EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4

More information

Administrative Data Research Facility Linked HMDA and ACS Database

Administrative Data Research Facility Linked HMDA and ACS Database University of Pennsylvania ScholarlyCommons 2017 ADRF Network Research Conference Presentations ADRF Network Research Conference Presentations 11-2017 Administrative Data Research Facility Linked HMDA

More information

NVLAP Proficiency Test Round 14 Results. Rolf Bergman CORM 16 May 2016

NVLAP Proficiency Test Round 14 Results. Rolf Bergman CORM 16 May 2016 NVLAP Proficiency Test Round 14 Results Rolf Bergman CORM 16 May 2016 Outline PT 14 Structure Lamp Types Lab Participation Format for results PT 14 Analysis Average values of labs Average values of lamps

More information

Date: Wed 12 July 2017 Reference Number: FOI Category: Stats - Crime

Date: Wed 12 July 2017 Reference Number: FOI Category: Stats - Crime Date: Wed 12 July 2017 Reference Number: 20171145 FOI Category: Stats - Crime Title: Hate Crimes Request Date: Friday, 23 June, 2017 Response Date: Wednesday, 12 July, 2017 Request Details: Q1: The total

More information

Social Work & Child Protection Survey CATI Fieldwork : March 20th-22nd 2009

Social Work & Child Protection Survey CATI Fieldwork : March 20th-22nd 2009 Social Work Child Protection Survey CATI Fieldwork : March 0thnd 00 Table Q. If asked by a friend or family member, who was considering career options, would you recommend a career in social work, or not?

More information

Social And Spatial Inequalities (SASI) group, Department of Geography, University of Sheffield. Changing UK. The way we live now

Social And Spatial Inequalities (SASI) group, Department of Geography, University of Sheffield. Changing UK. The way we live now Social And Spatial Inequalities (SASI) group, Department of Geography, University of Sheffield Changing UK The way we live now Danny Dorling, Dan Vickers, Bethan Thomas, John Pritchard, and Dimitris Ballas*

More information

For Sublease. Turn-Key Restaurant 1303 South 72nd Street Suites 101 & 102 Omaha, NE 68124

For Sublease. Turn-Key Restaurant 1303 South 72nd Street Suites 101 & 102 Omaha, NE 68124 For Sublease Turn-Key Restaurant 0 South nd Street Suites 0 & 0 Omaha, NE Turn-key restaurant located in one of Omaha s hottest retail corridors, this mixed-use retail center has a former endcap restaurant

More information

Solutions to Exercises

Solutions to Exercises 1 c Atkinson et al 2007, Optimum Experimental Designs, with SAS Solutions to Exercises 1. and 2. Certainly, the solutions to these questions will be different for every reader. Examples of the techniques

More information

PRIMA. Planning for Retailing in Metropolitan Areas

PRIMA. Planning for Retailing in Metropolitan Areas PRIMA Planning for Retailing in Metropolitan Areas Metropolitan Dimension to sustainable retailing futures Metropolitan strategies Retailing in city and town centres will be a primary component of any

More information

The Clay Research Group

The Clay Research Group The Clay Research The Clay Research Group Group Issue 85 June 2012 Page 1 RESEARCH AREAS Climate Change Data Analysis Electrical Resistivity Tomography Time Domain Reflectometry BioSciences Ground Movement

More information

Economic and Resident Baseline

Economic and Resident Baseline and LEP Economic and Resident Baseline Appendix Contents of the Appendix 2 and Local Enterprise Partnership (LEP) is reviewing its Strategic Economic Plan (SEP) and has commissioned Metro Dynamics to carry

More information

Understanding consumption in Melbourne s multicultural society

Understanding consumption in Melbourne s multicultural society Understanding consumption in Melbourne s multicultural society ECOCITY WORLD SUMMIT 12-14 JULY 2017 Dr. Christina YP Ting Prof. Peter Newton Asso. Prof. Wendy Stone Centre for Urban Transitions Swinburne

More information

Mapping vulnerability to fuel price increases in England

Mapping vulnerability to fuel price increases in England Institute for Transport Studies FACULTY OF ENVIRONMENT Mapping vulnerability to fuel price increases in England Giulio Mattioli & Ian Philips * Institute for Transport Studies, University of Leeds G.Mattioli@leeds.ac.uk

More information

Demographic Data in ArcGIS. Harry J. Moore IV

Demographic Data in ArcGIS. Harry J. Moore IV Demographic Data in ArcGIS Harry J. Moore IV Outline What is demographic data? Esri Demographic data - Real world examples with GIS - Redistricting - Emergency Preparedness - Economic Development Next

More information

Cambridge International Examinations Cambridge International General Certificate of Secondary Education

Cambridge International Examinations Cambridge International General Certificate of Secondary Education Cambridge International Examinations Cambridge International General Certificate of Secondary Education *5044984413* GEOGRAPHY 0460/22 Paper 2 May/June 2015 Candidates answer on the Question Paper. Additional

More information

Intimate Infrastructures

Intimate Infrastructures Intimate Infrastructures A social and spatial strategy for high-density design at a human scale By Natasha Reid Intimate Infrastructures Intimate Infrastructures A social and spatial strategy for high-density

More information

Social Exclusion and Digital Disengagement

Social Exclusion and Digital Disengagement Social Exclusion and Digital Disengagement Issues of Policy, Theory and Measurement OxIS Discussion Seminar 2007 (OII) Ellen J. Helsper Bill Dutton Agenda Introduction Bill Dutton Director OII & Principal

More information

5-1 Perpendicular and Angle Bisectors

5-1 Perpendicular and Angle Bisectors 5-1 Perpendicular and Angle Bisectors Warm Up Lesson Presentation Lesson Quiz Geometry Warm Up Construct each of the following. 1. A perpendicular bisector. 2. An angle bisector. 3. Find the midpoint and

More information

Supplemental Material for Policy Deliberation and Voter Persuasion: Experimental Evidence from an Election in the Philippines

Supplemental Material for Policy Deliberation and Voter Persuasion: Experimental Evidence from an Election in the Philippines Supplemental Material for Policy Deliberation and Voter Persuasion: Experimental Evidence from an Election in the Philippines March 17, 2017 1 Accounting for Deviations in the Randomization Protocol In

More information

GROWING APART: THE CHANGING FIRM-SIZE WAGE PREMIUM AND ITS INEQUALITY CONSEQUENCES ONLINE APPENDIX

GROWING APART: THE CHANGING FIRM-SIZE WAGE PREMIUM AND ITS INEQUALITY CONSEQUENCES ONLINE APPENDIX GROWING APART: THE CHANGING FIRM-SIZE WAGE PREMIUM AND ITS INEQUALITY CONSEQUENCES ONLINE APPENDIX The following document is the online appendix for the paper, Growing Apart: The Changing Firm-Size Wage

More information

Measures from the Adult Social Care Outcomes Framework, England

Measures from the Adult Social Care Outcomes Framework, England s from the Adult Social Care Outcomes Framework, England 2016-17 Guidance for using CSV file Published 25 October 2017 Copyright 2017 Health and Social Care Information Centre. The Health and Social Care

More information

Exploring the Spatial Variation in the Rated Carbon Dioxide Emissions of Local Car Fleets across Scotland

Exploring the Spatial Variation in the Rated Carbon Dioxide Emissions of Local Car Fleets across Scotland Exploring the Spatial Variation in the Rated Carbon Dioxide Emissions of Local Car Fleets across Scotland, Centre for Transport Research, University of Aberdeen. 1 Abstract The incremental decrease in

More information

Integrating Quantitative and Qualitative Approaches to Poverty Measurement

Integrating Quantitative and Qualitative Approaches to Poverty Measurement Integrating Quantitative and Qualitative Approaches to Poverty Measurement Michael Woolcock Development Research Group World Bank January 22, 2002 Overview Starting Points Types of Methods and Data Integrating

More information

ESRI 2008 Health GIS Conference

ESRI 2008 Health GIS Conference ESRI 2008 Health GIS Conference An Exploration of Geographically Weighted Regression on Spatial Non- Stationarity and Principal Component Extraction of Determinative Information from Robust Datasets A

More information

Measuring Perceived Accessibility to Urban Green Space: An Integration of GIS and Participatory Map

Measuring Perceived Accessibility to Urban Green Space: An Integration of GIS and Participatory Map Measuring Perceived Accessibility to Urban Green Space: An Integration of GIS and Participatory Map Fariba Sotoudehnia, Lex Comber 1,2 Department of Geography, University of Leicester, UK ABSTRACT Urban

More information

Topic 4: Changing cities

Topic 4: Changing cities Topic 4: Changing cities Overview of urban patterns and processes 4.1 Urbanisation is a global process a. Contrasting trends in urbanisation over the last 50 years in different parts of the world (developed,

More information

The geography of domestic energy consumption

The geography of domestic energy consumption The geography of domestic energy consumption Anastasia Ushakova PhD student at CDRC UCL Ellen Talbot PhD student at CDRC Liverpool Some important research questions How can we classify energy consumption

More information

COMMISSION ON ACCREDITATION 2011 ANNUAL REPORT ONLINE

COMMISSION ON ACCREDITATION 2011 ANNUAL REPORT ONLINE COMMISSION ON ACCREDITATION 2011 ANNUAL REPORT ONLINE SUMMARY DATA: POSTDOCTORAL PROGRAMS ^Clicking a table title will automatically direct you to that table in this document *Programs that combine two

More information

SHENFIELD HIGH SCHOOL EXAMINATION RESULTS 2011 AND OTHER STATUTORY INFORMATION

SHENFIELD HIGH SCHOOL EXAMINATION RESULTS 2011 AND OTHER STATUTORY INFORMATION SHENFIELD HIGH SCHOOL EXAMINATION RESULTS 2011 AND OTHER STATUTORY INFORMATION SEPTEMBER 2011 Examination Results 2011 A Level and AS Level Students usually take 4 AS level subjects or a BTEC National

More information

Residential Demographic Multipliers

Residential Demographic Multipliers Rutgers University, Center for Urban Policy Research Residential Demographic Multipliers Estimates of the Occupants of New Housing (Residents, School-Age Children, Public School-Age Children) by State,

More information

Sample Profile Report

Sample Profile Report Customer File Name Upload Date Match Count R_SJB Enrollment.TXT 09/09/13 663 of 757 names Income Range Code New (Red: Zipcode Average) Home Market Value (Red: Zipcode Average) 3 $40K-$50K $50K-60K $60K-$75K

More information

PhD in URBAN PLANNING, DESIGN, AND POLICY - 34th cycle

PhD in URBAN PLANNING, DESIGN, AND POLICY - 34th cycle PhD in URBAN PLANNING, DESIGN, AND POLICY - 34th cycle Research Field: THE MULTIPLE EFFECTS OF B2C E-COMMERCE GROWTH IN ITALY: RETAIL SYSTEM EVOLUTION AND SPATIAL IMPACT. Monthly net income of PhDscholarship

More information

Combining Non-probability and Probability Survey Samples Through Mass Imputation

Combining Non-probability and Probability Survey Samples Through Mass Imputation Combining Non-probability and Probability Survey Samples Through Mass Imputation Jae-Kwang Kim 1 Iowa State University & KAIST October 27, 2018 1 Joint work with Seho Park, Yilin Chen, and Changbao Wu

More information

Redacted for Privacy

Redacted for Privacy AN ABSTRACT OF THE THESIS OF Terrence A. Smith for the degree of Master of Science in Industrial Engineering presented February 26, 1993. Title: An Experimental Investigation of Scheduling Non- Identical

More information

LEO Catchment Profile (LCP) Key Data for Enterprise Strategy

LEO Catchment Profile (LCP) Key Data for Enterprise Strategy Laois...Portarlington LEO Catchment Profile (LCP) Key Data for Enterprise Strategy Laois Local Enterprise Office Address: Business Support Unit, County Hall, Portlaoise, County Laois Web: https://www.localenterprise.ie/laois/

More information

Connectivity. RTPI Scotland Annual Conference Edinburgh, 2nd October 2018

Connectivity. RTPI Scotland Annual Conference Edinburgh, 2nd October 2018 Connectivity Tom Rye, Professor and Director, Transport Research Institute (TRI), Edinburgh Napier University, Scotland, UK (with input from Nina Plevnik, TRI) RTPI Scotland Annual Conference Edinburgh,

More information

accessibility accessibility by-pass bid-rent curve bridging point administrative centre How easy or difficult a place is to reach.

accessibility accessibility by-pass bid-rent curve bridging point administrative centre How easy or difficult a place is to reach. accessibility accessibility How easy or difficult a place is to reach. How easy or difficult it is to enter a building. administrative centre bid-rent curve The function of a town which is a centre for

More information

Looking at Communities: Comparing Urban and Rural Neighborhoods

Looking at Communities: Comparing Urban and Rural Neighborhoods Looking at Communities: Comparing Urban and Rural Neighborhoods OVERVIEW & OBJECTIVES Our urban areas have become so dominant that frequently the children we teach have no connection with and very few

More information

ECON Interactions and Dummies

ECON Interactions and Dummies ECON 351 - Interactions and Dummies Maggie Jones 1 / 25 Readings Chapter 6: Section on Models with Interaction Terms Chapter 7: Full Chapter 2 / 25 Interaction Terms with Continuous Variables In some regressions

More information

Edexcel Geography Advanced Paper 2

Edexcel Geography Advanced Paper 2 Edexcel Geography Advanced Paper 2 SECTION B: SHAPING PLACES Assessment objectives AO1 Demonstrate knowledge and understanding of places, environments, concepts, processes, interactions and change, at

More information

The General Public s Weather Information-Seeking and Decision-Making Behavior during Tornado Outbreaks in the Oklahoma City Metroplex in May 2013

The General Public s Weather Information-Seeking and Decision-Making Behavior during Tornado Outbreaks in the Oklahoma City Metroplex in May 2013 The General Public s Weather Information-Seeking and Decision-Making Behavior during Tornado Outbreaks in the Oklahoma City Metroplex in May 2013 Chen Ling, Michelle Madison, Jessica Adams, Kevin Warren,

More information

It is clearly necessary to introduce some of the difficulties of defining rural and

It is clearly necessary to introduce some of the difficulties of defining rural and UNIT 2 CHANGING HUMAN ENVIRONMENTS G2 Theme 2 Investigating Settlement Change in MEDCs 2.1 What are the distinctive features of settlements? It is clearly necessary to introduce some of the difficulties

More information

APPLIED FIELDWORK ENQUIRY SAMPLE ASSESSMENT MATERIALS

APPLIED FIELDWORK ENQUIRY SAMPLE ASSESSMENT MATERIALS GCSE GEOGRAPHY B Sample Assessment Materials 85 GCSE GEOGRAPHY B COMPONENT 3 APPLIED FIELDWORK ENQUIRY SAMPLE ASSESSMENT MATERIALS 1 hour 30 minutes For examiner s use only SPaG Part A 18 0 Part B 18 0

More information

January - March 2017

January - March 2017 January - March 07 579 Calls into the Helpline 08000 700 Online Reports www.modernslaveryhelpline.org 5 07 759 Potential Indicated Types 07, 4% Non-, 6% 0 General Information, 0% (one or more indicators

More information

SECURITIES AND EXCHANGE COMMISSION FORM 10-D. Filing Date: Period of Report: SEC Accession No

SECURITIES AND EXCHANGE COMMISSION FORM 10-D. Filing Date: Period of Report: SEC Accession No SECURITIES AND EXCHANGE COMMISSION FORM 10-D Periodic distribution reports by Asset-Backed issuers pursuant to Rule 13a-17 or 15d-17 Filing Date: 2007-12-06 Period of Report: 2007-11-26 SEC Accession No.

More information

Application Issues in GIS: the UCL Centre for Advanced Spatial Analysis. Paul Longley UCL

Application Issues in GIS: the UCL Centre for Advanced Spatial Analysis. Paul Longley UCL Application Issues in GIS: the UCL Centre for Advanced Spatial Analysis Paul Longley UCL GIS: inclusive, shared understanding Geodemographics as a focus of interest Profiling public goods and services

More information

National Statistics 2001 Area Classifications

National Statistics 2001 Area Classifications National Statistics 2001 Area Classifications John Charlton, ONS see http://neighbourhood.statistics.gov.uk areaclassifications@ons.gov.uk Copyright ONS What are the Area Classifications Summarise 2001

More information

Geographic Systems and Analysis

Geographic Systems and Analysis Geographic Systems and Analysis New York University Robert F. Wagner Graduate School of Public Service Instructor Stephanie Rosoff Contact: stephanie.rosoff@nyu.edu Office hours: Mondays by appointment

More information

Bentgrass and Fineleaf Fescue Cultivar and Species Differences in Phytotoxicity to Mesotrione

Bentgrass and Fineleaf Fescue Cultivar and Species Differences in Phytotoxicity to Mesotrione Bentgrass and Fineleaf Fescue Cultivar and Species Differences in Phytotoxicity to Mesotrione Matthew W. Williams, Charles T. Golob, William J. Johnston, and Karine Paré Department of Crop and Soil Sciences

More information

GIS-Based Analysis of the Commuting Behavior and the Relationship between Commuting and Urban Form

GIS-Based Analysis of the Commuting Behavior and the Relationship between Commuting and Urban Form GIS-Based Analysis of the Commuting Behavior and the Relationship between Commuting and Urban Form 1. Abstract A prevailing view in the commuting is that commuting would reconstruct the urban form. By

More information

GCSE Geography (5GA1F) Paper 1

GCSE Geography (5GA1F) Paper 1 GCSE GCSE Geography (5GA1F) Paper 1 Edexcel Limited. Registered in England and Wales No. 4496750 Registered Office: One90 High Holborn, London WC1V 7BH Edexcel is one of the leading examining and awarding

More information

ASSOCIATED PRESS-WEATHER UNDERGROUND WEATHER SURVEY CONDUCTED BY KNOWLEDGE NETWORKS January 28, 2011

ASSOCIATED PRESS-WEATHER UNDERGROUND WEATHER SURVEY CONDUCTED BY KNOWLEDGE NETWORKS January 28, 2011 1350 Willow Rd, Suite 102 Menlo Park, CA 94025 www.knowledgenetworks.com Interview dates: January 21 January 26, 2011 Interviews: 1,125 adults Sampling margin of error for a 50% statistic with 95% confidence

More information

Mark Scheme (Results) January 2011

Mark Scheme (Results) January 2011 Mark (Results) January 2011 GCE GCE Decision Mathematics D1 (6689/01) Edexcel Limited. Registered in England and Wales No. 4496750 Registered Office: One90 High Holborn, London WC1V 7BH Edexcel is one

More information

Social Vulnerability Index. Susan L. Cutter Department of Geography, University of South Carolina

Social Vulnerability Index. Susan L. Cutter Department of Geography, University of South Carolina Social Vulnerability Index Susan L. Cutter Department of Geography, University of South Carolina scutter@sc.edu Great Lakes and St. Lawrence Cities Initiative Webinar December 3, 2014 Vulnerability The

More information

UK Data Archive Study Number British Social Attitudes, British Social Attitudes 2008 User Guide. 2 Data collection methods...

UK Data Archive Study Number British Social Attitudes, British Social Attitudes 2008 User Guide. 2 Data collection methods... UK Data Archive Study Number 6390 - British Social Attitudes, 2008 o NatCen National Centre for Social Research British Social Attitudes 2008 User Guide Author: Roger Stafford 1 Overview of the survey...

More information

CfE Higher Mathematics Course Materials Topic 2: Vectors

CfE Higher Mathematics Course Materials Topic 2: Vectors SCHOLAR Study Guide CfE Higher Mathematics Course Materials Topic : Vectors Authored by: Margaret Ferguson Reviewed by: Jillian Hornby Previously authored by: Jane S Paterson Dorothy A Watson Heriot-Watt

More information

Example Client. Example Agency. Experian Contact Details. Debbie Blackburn

Example Client. Example Agency. Experian Contact Details. Debbie Blackburn Example Client Example Agency Experian Contact Details Debbie Blackburn 07967 646493 deborah.blackburn@uk.experian.com About this Pack Experian are constantly reviewing the market to ensure our customers

More information

Harrison Drury and Co Limited. IT/HR/other corporate

Harrison Drury and Co Limited. IT/HR/other corporate Survey: SRA Legal Diversity 2017 Submissions: 90 Completed: 49 Regulator Number: 534326 / 536043 Harrison Drury and Co Limited 1. Select one category which best describes your role in the firm. practitioner,

More information

USER PARTICIPATION IN HOUSING REGENERATION PROJECTS

USER PARTICIPATION IN HOUSING REGENERATION PROJECTS USER PARTICIPATION IN HOUSING REGENERATION PROJECTS Dr. Hatice Sadıkoğlu Bahçeşehir University, Faculty of Architecture and Design Prof. Dr. Ahsen Özsoy Istanbul Technical University, Faculty of Architecture

More information

Climate Change Adaptation and New Migrants

Climate Change Adaptation and New Migrants Climate Change Adaptation and New Migrants ACCARNSI CONFERENCE 2016, Early Career Researcher, 12 th National Forum and Workshop 26-28 September 2016 Christina YP Ting Swinburne University of Technology

More information

or through any bookseller.

or through any bookseller. Published by the Stationery Office, Dublin, Ireland. Available from the: Central Statistics Office, Information Section, Skehard Road, Cork, Government Publications Sales Office, Sun Alliance House, Molesworth

More information

Healthy Cities. Lecture 4 Planning and Regeneration, Sustainable and Healthy. Opening Address

Healthy Cities. Lecture 4 Planning and Regeneration, Sustainable and Healthy. Opening Address Healthy Cities Lecture 4 Planning and Regeneration, Sustainable and Healthy Opening Address Suzanne Wylie Director of Health and Environmental Services, Belfast City Council Belfast The Past The Present

More information

YouGov Survey Results

YouGov Survey Results YouGov Survey Results Sample Size: 2090 GB Adults Fieldwork: 10th - 11th October 2010 Voting intention Gender Age Social grade Region The following questions are about horoscopes and star signs... Which

More information

The World Bank Health System Performance Reinforcement Project (P156679)

The World Bank Health System Performance Reinforcement Project (P156679) Public Disclosure Authorized AFRICA Cameroon Health, Nutrition & Population Global Practice IBRD/IDA Investment Project Financing FY 2016 Seq No: 3 ARCHIVED on 14-Apr-2017 ISR27518 Implementing Agencies:

More information

Tables and Figures to Accompany

Tables and Figures to Accompany Tables and Figures to Accompany CORRELATES OF BELIEF IN REINCARNATION AMONG CHRISTIAN WORSHIPERS John P. Marcum Presbyterian Church (U.S.A.) jmarcum@ctr.pcusa.org Paper presented at the annual meeting

More information

Ruth Lupton and Anne Power The growth and decline of cities and regions

Ruth Lupton and Anne Power The growth and decline of cities and regions Ruth Lupton and Anne Power The growth and decline of cities and regions Report Original citation: Lupton, Ruth and Power, Anne (00) The growth and decline of cities and regions. CASE Brookings census briefs,.

More information

London Borough of Camden

London Borough of Camden Camden Affordable Study: Can the Affordable tenure meet housing needs in Camden? Autumn 2011 Camden Affordable Study Copyright This Report is the copyright of pod LLP. Any unauthorised reproduction or

More information

OREGON POPULATION FORECAST PROGRAM

OREGON POPULATION FORECAST PROGRAM OREGON POPULATION FORECAST PROGRAM PROGRAM OVERVIEW BACKGROUND Beginning in 1973 with the passage of Senate Bill (SB) 100, Oregon s growth management system has relied on population forecasts as the primary

More information

geographic patterns and processes are captured and represented using computer technologies

geographic patterns and processes are captured and represented using computer technologies Proposed Certificate in Geographic Information Science Department of Geographical and Sustainability Sciences Submitted: November 9, 2016 Geographic information systems (GIS) capture the complex spatial

More information

How GIS can be used for improvement of literacy and CE programmes

How GIS can be used for improvement of literacy and CE programmes How GIS can be used for improvement of literacy and CE programmes Training Workshop for Myanmar Literacy Resource Center (MLRC) ( Yangon, Myanmar, 11 20 October 2000 ) Presented by U THEIN HTUT GEOCOMP

More information