Skip to main content

Table 1 GLM of 2015 rental market

From: A mass-market appraisal of the English housing rental market using a diverse range of modelling techniques

Attribute N/median Estimate Std error t
Intercept 487,253 6.4510 0.0067 957.7***
Flat 212,275    
Bungalow 11,617 0.0073 0.0059 1.2
Detached 31,996 0.0192 0.0037 5.2***
Semi-detached 54,410 − 0.0463 0.0032 − 14.5***
Terraced 111,087 − 0.0185 0.0025 − 7.4***
Unknown 65,868 0.0169 0.0026 6.4***
1 bedroom 94,379    
2 bedrooms 192,236 0.2772 0.0024 116.8***
3 bedrooms 123,546 0.5157 0.0028 186.7***
4 bedrooms 41,505 0.7607 0.0033 228.6***
5 bedrooms 12,558 1.0080 0.0043 235.7***
6 and more bedrooms 7097 1.2650 0.0051 248.3***
Unknown bedrooms 15,932 − 0.0881 0.0050 − 17.7***
1 bathroom 194,157    
2 bathrooms 45,440 0.1314 0.0026 50.8***
3 bathrooms 6767 0.3343 0.0047 71.2***
4 bathrooms 1150 0.5347 0.0085 63.3***
5 and more bathrooms 622 0.6633 0.0107 62.0***
Unknown bathrooms 239,117 0.1169 0.0024 48.2***
1 reception room 159,999    
2 reception rooms 41,912 0.0020 0.0030 0.7
3 reception rooms 4921 0.0681 0.0060 11.4***
4 reception rooms 723 0.2235 0.0113 19.8***
5 and more reception rooms 191 0.3379 0.0189 17.9***
Unknown reception rooms 279,507 − 0.0333 0.0024 − 13.9***
January 50,988    
February 37,309 − 0.0220 0.0036 − 6.2***
March 39,601 − 0.0179 0.0035 − 5.1***
April 38,037 − 0.0098 0.0035 − 2.8**
May 40,414 0.0095 0.0034 2.8**
June 42,095 − 0.0090 0.0034 − 2.7**
July 44,808 − 0.0031 0.0033 − 0.9
August 39,791 0.0068 0.0035 2.0*
September 37,994 − 0.0041 0.0035 − 1.2
October 43,005 0.0086 0.0034 2.5*
November 42,037 0.0238 0.0034 7.0***
December 31,174 0.0042 0.0038 1.1
Up to 4 web site visits per day 24,094    
5–10 web site visits per day 14,610 0.0244 0.0055 4.4***
11–20 web site visits per day 23,114 − 0.0199 0.0050 − 3.9***
21–60 web site visits per day 39,969 − 0.0469 0.0046 − 10.3***
61 and more web site visits per day 29,423 − 0.0754 0.0050 − 15.2***
Unknown site visits 356,043 0.0230 0.0037 6.2***
Affluent achievers 60,017    
Rising prosperity 136,624 − 0.1961 0.0026 − 74.5***
Comfortable communities 98,779 − 0.2798 0.0028 − 99.7***
Financially stretched 92,146 − 0.3463 0.0031 − 112.9***
Urban adversity 96,472 − 0.4212 0.0031 − 134.3***
Not private households 3008 − 0.0994 0.0090 − 11.1***
ACORN not known 207 − 0.1028 0.0274 − 3.8***
Distance from the City of London (logged in model) 113.95 km − 0.2862 0.00079 − 363.2***
Distance from railway station (logged in model) 1.11 km − 0.0204 0.0010 − 20.0***
Outstanding primary school 91,869    
Good primary school 308,287 − 0.0487 0.0019 − 26.2***
Requires improvement primary school 79,841 − 0.0614 0.0026 − 24.0***
Inadequate primary school 7256 − 0.0972 0.0071 − 13.7***
Outstanding secondary school 119,014    
Good secondary school 245,070 − 0.0760 0.0018 − 43.2***
Requires improvement secondary school 96,715 − 0.1047 0.0024 − 44.6***
Inadequate secondary school 26,454 − 0.1269 0.0044 − 28.9***
Retail health 30.53 0.0025 0.00005 52.2***
Access health 7.21 − 0.0001 0.00008 − 1.9
Environment health 25.32 0.0004 0.00004 10.5***
  1. Note Statistical significance: *** < 0.1%; ** < 1%; * < 5%; . < 10%