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Variable

UK Data Service variable record for:

English Housing Survey, 2013: Housing Stock Data

Variable Details

VariableXDAMBf
Labeldpc basic costs
Responses
0 12280
7.17903125 1
7.4165937007874 1
15.3061795275591 1
17.892325984252 1
20.9017952755906 1
22.0453937007874 1
22.832353125 1
23.4715401574803 1
23.5127484375 1
23.7798803149606 1
25.4904803149606 1
31.41855 1
34.691074015748 1
38.9389606299213 1
40.959 1
41.9352377952756 1
44.6828484375 1
45.8373322834646 1
55.0651968503937 1
56.1327874015748 1
57.6534 1
58.1373921259842 1
58.3347401574803 1
60.06695625 1
60.2337047244095 1
61.652862992126 1
63.6287109375 1
63.8705362204724 1
64.1902866141732 1
64.6664881889764 1
66.1119496062992 1
67.1795401574803 1
67.3593448818898 1
67.970503125 1
68.9775874015748 1
70.208125984252 1
70.422215625 1
71.5303228346457 1
72.8641086614173 1
73.914642519685 1
77.2327653543307 1
78.8175 1
80.2771653543307 1
80.7565527559055 1
81.1691338582677 1
81.7661984251969 1
82.0845 1
82.7925165354331 1
83.1034960629921 1
85.9512236220472 1
88.8222236220472 1
93.225 1
95.2384503937008 1
96.0726 1
98.2081464566929 1
98.875 1
101.578488188976 1
102.037480314961 1
105.907528125 1
106.258622047244 1
106.688818897638 1
107.71725 1
109.93302992126 1
112.02325984252 1
115.028258267717 1
116.615646875 1
121.143433070866 1
123.396 1
124.434 1
128.026582677165 1
129.717870866142 1
130.312771653543 1
130.869 1
130.929083464567 1
133.759968503937 1
134.427911811024 1
138.696456692913 1
150.1164 1
151.0315625 1
152.55 1
156.317732283465 1
156.6432 1
157.057814173228 1
159.269896062992 1
162.50737007874 1
167.96311875 1
172.542387401575 1
174.677165354331 1
174.825 1
179.487 1
181.108308661417 1
183.9075 1
186.4898859375 1
186.671168503937 1
190.135351181102 1
190.44642519685 1
191.898103937008 1
198.65922519685 1
202.42148976378 1
212.019075 1
214.120875 1
218.712078740157 1
219.900825 1
221.672012598425 1
221.862299212598 1
222.992125984252 1
230.609537007874 1
234.653499212598 1
237.485869291339 1
237.600354330709 1
239.9484375 1
240.049842519685 1
241.082362204724 1
244.948818897638 1
246.516491338583 1
247.53438976378 1
252.783874015748 1
255.818053543307 1
257.257716535433 1
262.911732283465 1
263.372833070866 1
264.729748031496 1
265.589839370079 1
266.722047244094 1
271.911023622047 1
277.835181102362 1
282.181039370079 1
282.655133858268 1
302.044321259843 1
304.063133858268 1
304.607244094488 1
309.578784251968 1
314.253004724409 1
315.59840625 1
316.20225 1
316.231559055118 1
317.410708661417 1
319.378141732284 1
321.85791496063 1
334.665 1
334.923023622047 1
339.070677165354 1
347.827322834646 1
354.7635 1
359.905 1
359.990480314961 1
368.58814488189 1
379.208163779528 1
381.445870866142 1
393.952755905512 1
400.76524015748 1
401.716062992126 1
404.729196850394 1
408.877523622047 1
408.889511811024 1
409.350362204724 1
409.788311811024 1
410.629039370079 1
414.674645669291 1
416.412992125984 1
440.907874015748 1
454.135110236221 1
456.7048171875 1
462.0375 1
471.449952755906 1
473.940319685039 1
475.735861417323 1
480.09968503937 1
496.55025 1
496.958022047244 1
499.93682519685 1
503.594267716535 1
517.612850393701 1
554.781858267716 1
587.123401574803 1
595.584888188976 1
600.580233070866 1
610.391886614173 1
617.271023622047 1
642.048957480315 1
642.609788976378 1
651.404598425197 1
661.361811023622 1
676.240346456693 1
682.427409448819 1
686.724692913386 1
726.816 1
728.374047244095 1
730.860409448819 1
733.961858267717 1
734.029960629921 1
766.106173228346 1
780.4965 1
784.847622047244 1
795.237678740157 1
842.161255905512 1
842.497511811024 1
860.260171875 1
866.66409375 1
895.88740472441 1
898.298433070866 1
964.708535433071 1
967.15640625 1
976.202692913386 1
979.307086614173 1
1022.51181102362 1
1117.24966614173 1
1171.5085511811 1
1225.76076377953 1
1239.759 1
1275.37738582677 1
1384.5674015748 1
1576.10834645669 1
1577.30655748032 1
1617.93051968504 1
1709.00607874016 1
2019.84796062992 1
2292.96113385827 1
20000 £20,000 or more 0
DisclaimerPlease note that these frequencies are not weighted.
LocationEnglish Housing Survey, 2013: Housing Stock Data
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