Table 1.
SIMD quintile | Number | Percentage of total resources | Mean N per 1000 residents | Mean distance (metres) to nearest resource | % DZs with at least one | |
---|---|---|---|---|---|---|
A. Education | ||||||
LEA nurseries | 1 – Most affluent | 4 | 5.8 | 0.03 | 1292 | 2.9 |
2 | 14 | 20.3 | 0.12 | 1079 | 10.1 | |
3 – Middling | 12 | 17.4 | 0.10 | 1208 | 8.6 | |
4 | 15 | 21.7 | 0.13 | 1113 | 10.8 | |
5 – Most deprived | 24 | 34.8 | 0.23 | 959 | 17.4 | |
Total | 69 | 100.0 | 0.12 | 1131 | 9.9 | |
ANOVA | F = 5.09, p < 0.001 | F = 5.11, p < 0.001 | ||||
Linearity | F = 16.10, p < 0.001 | F = 12.68, p < 0.001 | ||||
Private nurseries | 1 – Most affluent | 41 | 20.1 | 0.33 | 672 | 23.7 |
2 | 35 | 17.2 | 0.30 | 709 | 23.0 | |
3 – Middling | 39 | 19.1 | 0.31 | 745 | 19.4 | |
4 | 43 | 21.1 | 0.40 | 649 | 25.9 | |
5 – Most deprived | 46 | 22.5 | 0.45 | 652 | 29.0 | |
Total | 204 | 100.0 | 0.36 | 685 | 24.2 | |
ANOVA | F = 1.09, p = 0.362 | F = 1.2, p = 0.345 | ||||
Linearity | F = 3.07, p = 0.080 | F = −0.67, p = 0.080 | ||||
LEA primary schools | 1 – Most affluent | 18 | 9.4 | 0.16 | 795 | 11.5 |
2 | 34 | 17.7 | 0.28 | 624 | 23.0 | |
3 – Middling | 42 | 21.9 | 0.35 | 600 | 26.6 | |
4 | 45 | 23.4 | 0.41 | 556 | 30.2 | |
5 – Most deprived | 53 | 27.6 | 0.48 | 578 | 32.6 | |
Total | 192 | 100.0 | 0.34 | 631 | 24.8 | |
ANOVA | F = 5.51, p < 0.001 | F = 8.23, p < 0.001 | ||||
Linearity | F = 21.52, p < 0.001 | F = 22.84, p < 0.001 | ||||
LEA secondary schools | 1 – Most affluent | 9 | 30.0 | 0.07 | 1228 | 6.5 |
2 | 5 | 16.7 | 0.04 | 1493 | 3.6 | |
3 – Middling | 5 | 16.7 | 0.04 | 1459 | 3.6 | |
4 | 8 | 26.7 | 0.08 | 1585 | 5.8 | |
5 – Most deprived | 3 | 10.0 | 0.02 | 1662 | 2.2 | |
Total | 30 | 100.0 | 0.05 | 1485 | 4.3 | |
ANOVA | F = 1.37, p = 0.242 | F = 6.82, p < 0.001 | ||||
Linearity | F = 1.02, p = 0.313 | F = 23.2, p < 0.001 | ||||
Private schools | 1 – Most affluent | 4 | 33.3 | 0.03 | 2270 | 2.9 |
2 | 4 | 33.3 | 0.03 | 2372 | 2.9 | |
3 – Middling | 3 | 25.0 | 0.03 | 2846 | 1.4 | |
4 | 1 | 8.3 | 0.01 | 3291 | 0.7 | |
5 – Most deprived | 0 | 0.0 | 0.00 | 3390 | 0.0 | |
Total | 12 | 100.0 | 0.02 | 2833 | 1.6 | |
ANOVA | F = 1.03, p = 0.389 | F = 16.14, p < 0.001 | ||||
Linearity | F = 3.50, p = 0.062 | F = 61.38, p < 0.001 | ||||
B. Emergency services | ||||||
Fire stations | 1 – Most affluent | 0 | 0.0 | 0.00 | 2437 | 0.0 |
2 | 4 | 30.8 | 0.04 | 2278 | 2.9 | |
3 – Middling | 2 | 15.4 | 0.02 | 2173 | 1.4 | |
4 | 2 | 15.4 | 0.02 | 2180 | 1.4 | |
5 – Most deprived | 5 | 38.5 | 0.04 | 2091 | 2.9 | |
Total | 13 | 100.0 | 0.02 | 2232 | 1.7 | |
ANOVA | F = 1.06, p = 0.374 | F = 25, p = 0.062 | ||||
Linearity | F = 1.62, p = 0.204 | F = 8.01, p = 0.005 | ||||
Police stations | 1 – Most affluent | 1 | 4.5 | 0.01 | 1832 | 0.7 |
2 | 5 | 22.7 | 0.05 | 1585 | 3.6 | |
3 – Middling | 6 | 27.3 | 0.04 | 1621 | 4.3 | |
4 | 4 | 18.2 | 0.04 | 1621 | 2.9 | |
5 – Most deprived | 6 | 27.3 | 0.05 | 1518 | 4.3 | |
Total | 22 | 100.0 | 0.04 | 1636 | 3.2 | |
ANOVA | F = 0.91, p = 0.458 | F = 2.28, p = 0.024 | ||||
Linearity | F = 1.67, p = 0.198 | F = 7.14, p = 0.008 | ||||
C. Health services | ||||||
GP surgeries | 1 – Most affluent | 17 | 16.2 | 0.15 | 1013 | 10.8 |
2 | 18 | 17.1 | 0.15 | 825 | 11.5 | |
3 – Middling | 34 | 32.4 | 0.27 | 814 | 19.4 | |
4 | 18 | 17.1 | 0.17 | 853 | 12.2 | |
5 – Most deprived | 18 | 17.1 | 0.17 | 913 | 12.3 | |
Total | 105 | 100.0 | 0.18 | 884 | 13.3 | |
ANOVA | F = 1.51, p = 0.197 | F = 2.86, p = 0.023 | ||||
Linearity | F = 0.14, p = 0.713 | F = 1.26, p = 0.262 | ||||
Dental practices | 1 – Most affluent | 25 | 18.7 | 0.20 | 872 | 13.7 |
2 | 38 | 28.4 | 0.30 | 831 | 21.6 | |
3 – Middling | 28 | 20.9 | 0.25 | 896 | 15.8 | |
4 | 18 | 13.4 | 0.16 | 927 | 11.5 | |
5 – Most deprived | 25 | 18.7 | 0.22 | 929 | 14.5 | |
Total | 134 | 100.0 | 0.23 | 891 | 15.4 | |
ANOVA | F = 1.16, p = 0.328 | F = 0.77, p = 0.547 | ||||
Linearity | F = 0.56, p = 0.456 | F = 1.99, p = 0.159 | ||||
Pharmacies | 1 – Most affluent | 19 | 12.1 | 0.17 | 806 | 12.2 |
2 | 32 | 20.4 | 0.28 | 706 | 20.9 | |
3 – Middling | 35 | 22.3 | 0.30 | 689 | 20.1 | |
4 | 27 | 17.2 | 0.24 | 727 | 15.8 | |
5 – Most deprived | 44 | 28.0 | 0.40 | 716 | 23.9 | |
Total | 157 | 100.0 | 0.28 | 729 | 18.6 | |
ANOVA | F = 2.43, p = 0.046 | F = 1.35, p = 0.252 | ||||
Linearity | F = 6.12, p = 0.014 | F = 1.63, p = 0.203 | ||||
Ophthalmic practices | 1 – Most affluent | 14 | 13.7 | 0.12 | 1156 | 9.4 |
2 | 32 | 31.4 | 0.27 | 1036 | 13.7 | |
3 – Middling | 18 | 17.6 | 0.16 | 1136 | 11.5 | |
4 | 10 | 9.8 | 0.09 | 1184 | 5.0 | |
5 – Most deprived | 28 | 27.5 | 0.23 | 1150 | 11.6 | |
Total | 102 | 100.0 | 0.17 | 1132 | 10.2 | |
ANOVA | F = 1.79, p = 0.130 | F = 0.81, p = 0.521 | ||||
Linearity | F = 0.03, p = 0.872 | F = 0.47, p = 0.494 | ||||
D. Means of exchange | ||||||
Banks | 1 – Most affluent | 20 | 18.2 | 0.18 | 1085 | 10.8 |
2 | 40 | 36.4 | 0.32 | 1080 | 7.9 | |
3 – Middling | 23 | 20.9 | 0.20 | 1223 | 10.1 | |
4 | 7 | 6.4 | 0.06 | 1345 | 4.3 | |
5 – Most deprived | 20 | 18.2 | 0.17 | 1340 | 8.0 | |
Total | 110 | 100.0 | 0.18 | 1214 | 8.2 | |
ANOVA | F = 0.91, p = 0.457 | F = 3.62, p = 0.006 | ||||
Linearity | F = 0.87, p = 0.351 | F = 12.83, p < 0.001 | ||||
Building societies | 1 – Most affluent | 2 | 16.7 | 0.02 | 3318 | 1.4 |
2 | 7 | 58.3 | 0.06 | 3204 | 0.7 | |
3 – Middling | 2 | 16.7 | 0.01 | 3815 | 0.7 | |
4 | 0 | 0.0 | 0.00 | 4240 | 0.0 | |
5 – Most deprived | 1 | 8.3 | 0.01 | 4496 | 0.7 | |
Total | 12 | 100.0 | 0.02 | 3814 | 0.7 | |
ANOVA | F = 0.680, p = 0.606 | F = 8.51, p < 0.001 | ||||
Linearity | F = 0.791, p = 0.374 | F = 30.93, p < 0.001 | ||||
Credit unions | 1 – Most affluent | 0 | 0.0 | 0.00 | 2112 | 0.0 |
2 | 4 | 11.4 | 0.03 | 2121 | 2.9 | |
3 – Middling | 9 | 25.7 | 0.07 | 1565 | 6.5 | |
4 | 10 | 28.6 | 0.09 | 1471 | 7.2 | |
5 – Most deprived | 12 | 34.3 | 0.10 | 1290 | 8.0 | |
Total | 35 | 100.0 | 0.06 | 1712 | 4.9 | |
ANOVA | F = 3.74, p = 0.005 | F = 21.59, p < 0.001 | ||||
Linearity | F = 14.51, p < 0.001 | F = 77.67, p < 0.001 | ||||
Pawn brokers/cheque cashers | 1 – Most affluent | 1 | 4.0 | 0.01 | 2414 | 0.7 |
2 | 10 | 40.0 | 0.08 | 2286 | 2.9 | |
3 – Middling | 4 | 16.0 | 0.04 | 2339 | 2.9 | |
4 | 3 | 12.0 | 0.03 | 2535 | 1.4 | |
5 – Most deprived | 7 | 28.0 | 0.06 | 2491 | 4.3 | |
Total | 25 | 100.0 | 0.04 | 2413 | 2.4 | |
ANOVA | F = 0.79, p = 0.530 | F = 0.63, p = 0.639 | ||||
Linearity | F = 0.16, p = 0.689 | F = 0.97, p = 0.326 | ||||
Post offices | 1 – Most affluent | 13 | 12.7 | 0.11 | 791 | 9.4 |
2 | 16 | 15.7 | 0.13 | 786 | 11.5 | |
3 – Middling | 22 | 21.6 | 0.20 | 705 | 15.1 | |
4 | 19 | 18.6 | 0.16 | 755 | 13.7 | |
5 – Most deprived | 32 | 31.4 | 0.30 | 761 | 21.7 | |
Total | 102 | 100.0 | 0.18 | 760 | 14.3 | |
ANOVA | F = 3.86, p = 0.004 | F = 0.87, p = 0.481 | ||||
Linearity | F = 11.63, p = 0.001 | F = 0.62, p = 0.430 | ||||
ATMs | 1 – Most affluent | 96 | 15.0 | 0.76 | 532.0 | 36.7 |
2 | 215 | 33.5 | 1.74 | 481.1 | 45.3 | |
3 – Middling | 122 | 19.0 | 1.00 | 561.4 | 37.4 | |
4 | 79 | 12.3 | 0.70 | 550.2 | 37.4 | |
5 – Most deprived | 129 | 20.1 | 1.19 | 538.9 | 31.2 | |
Total | 641 | 100.0 | 1.08 | 532.7 | 37.6 | |
ANOVA | F = 1.11, p = 0.348 | F = 0.939, p = 0.440 | ||||
Linearity | F = 0.024, p = 0.877 | F = 0.674, p = 0.412 | ||||
E. Food retail | ||||||
Supermarkets | 1 – Most affluent | 11 | 24.4 | 0.09 | 1166 | 7.9 |
2 | 6 | 13.3 | 0.05 | 1205 | 2.2 | |
3 – Middling | 12 | 26.7 | 0.11 | 1280 | 7.9 | |
4 | 5 | 11.1 | 0.05 | 1304 | 3.6 | |
5 – Most deprived | 11 | 24.4 | 0.11 | 1369 | 7.2 | |
Total | 45 | 100.0 | 0.08 | 1265 | 5.8 | |
ANOVA | F = 0.87, p = 0.481 | F = 2.26, p = 0.061 | ||||
Linearity | F = 0.04, p = 0.850 | F = 8.89, p = 0.003 | ||||
Fast food chains | 1 – Most affluent | 9 | 21.4 | 0.07 | 1800 | 4.3 |
2 | 9 | 21.4 | 0.07 | 1659 | 2.2 | |
3 – Middling | 7 | 16.7 | 0.06 | 1715 | 4.3 | |
4 | 4 | 9.5 | 0.04 | 1887 | 2.2 | |
5 – Most deprived | 13 | 31.0 | 0.11 | 1745 | 5.1 | |
Total | 42 | 100.0 | 0.07 | 1761 | 3.6 | |
ANOVA | F = 0.452, p = 0.771 | F = 1.22, p = 0.303 | ||||
Linearity | F = 0.158, p = 0.691 | F = 0.22, p = 0.636 | ||||
Cafes | 1 – Most affluent | 52 | 16.5 | 0.41 | 917.9 | 21.6 |
2 | 101 | 32.1 | 0.86 | 722.9 | 31.7 | |
3 – Middling | 65 | 20.6 | 0.53 | 830.0 | 23.0 | |
4 | 33 | 10.5 | 0.31 | 909.8 | 15.8 | |
5 – Most deprived | 64 | 20.3 | 0.55 | 1001.7 | 21.7 | |
Total | 315 | 100.0 | 0.53 | 876.3 | 22.8 | |
ANOVA | F = 1.51, p = 0.197 | F = 3.19, p < 0.05 | ||||
Linearity | F = 0.286, p = 0.593 | F = 3.60, p = 0.058 | ||||
F. Culture and entertainment | ||||||
Bingo halls | 1 – Most affluent | 1 | 7.7 | 0.01 | 2887 | 0.7 |
2 | 1 | 7.7 | 0.01 | 2699 | 0.7 | |
3 – Middling | 3 | 23.1 | 0.02 | 2553 | 2.2 | |
4 | 3 | 23.1 | 0.03 | 2337 | 2.2 | |
5 – Most deprived | 5 | 38.5 | 0.04 | 2223 | 3.6 | |
Total | 13 | 100.0 | 0.02 | 2540 | 1.9 | |
ANOVA | F = 1.12, p = 0.345 | F = 5.55, p < 0.001 | ||||
Linearity | F = 4.26, p = 0.040 | F = 22.06, p < 0.001 | ||||
Public libraries | 1 – Most affluent | 4 | 11.1 | 0.05 | 1384 | 2.2 |
2 | 5 | 13.9 | 0.04 | 1232 | 3.6 | |
3 – Middling | 12 | 33.3 | 0.11 | 1174 | 8.6 | |
4 | 7 | 19.4 | 0.06 | 1191 | 5.0 | |
5 – Most deprived | 8 | 22.2 | 0.07 | 1193 | 5.8 | |
Total | 36 | 100.0 | 0.07 | 1235 | 5.0 | |
ANOVA | F = 1.01, p = 0.402 | F = 2.20, p = 0.068 | ||||
Linearity | F = 0.62, p = 0.431 | F = 5.33, p = 0.021 | ||||
Public museums/art galleries | 1 – Most affluent | 0 | 0.0 | 0.00 | 3318 | 0.0 |
2 | 7 | 43.8 | 0.06 | 3162 | 2.9 | |
3 – Middling | 3 | 18.8 | 0.02 | 3706 | 2.2 | |
4 | 5 | 31.3 | 0.04 | 3948 | 2.2 | |
5 – Most deprived | 1 | 6.3 | 0.01 | 4132 | 0.7 | |
Total | 16 | 100.0 | 0.03 | 3652 | 1.6 | |
ANOVA | F = 1.61, p = 0.169 | F = 4.99, p = 0.001 | ||||
Linearity | F = 0.00, p = 0.973 | F = 17.30, p < 0.001 | ||||
G. Transport | ||||||
Railway stations | 1 – Most affluent | 14 | 24.1 | 0.11 | 1264 | 9.4 |
2 | 17 | 29.3 | 0.14 | 1069 | 10.8 | |
3 – Middling | 14 | 24.1 | 0.11 | 1195 | 9.4 | |
4 | 6 | 10.3 | 0.05 | 1421 | 4.3 | |
5 – Most deprived | 7 | 12.1 | 0.06 | 1561 | 4.3 | |
Total | 58 | 100.0 | 0.09 | 1302 | 7.6 | |
ANOVA | F = 1.63, p = 0.165 | F = 8.39, p < 0.001 | ||||
Linearity | F = 4.34, p = 0.038 | F = 20.16, p < 0.001 | ||||
Subway stations | 1 – Most affluent | 2 | 13.3 | 0.01 | 3986 | 1.4 |
2 | 5 | 33.3 | 0.05 | 3597 | 3.6 | |
3 – Middling | 4 | 26.7 | 0.03 | 3891 | 2.2 | |
4 | 1 | 6.7 | 0.01 | 4341 | 0.7 | |
5 – Most deprived | 3 | 20.0 | 0.02 | 4648 | 2.2 | |
Total | 15 | 100.0 | 0.02 | 4092 | 2.0 | |
ANOVA | F = 1.19, p = 0.312 | F = 3.98, p = 0.003 | ||||
Linearity | F = 0.25, p = 0.619 | F = 10.17, p = 0.001 | ||||
Bus stops | 1 – Most affluent | 482 | 14.5 | 3.89 | 306 | 82.0 |
2 | 640 | 19.2 | 5.57 | 244 | 88.5 | |
3 – Middling | 705 | 21.2 | 5.93 | 215 | 92.8 | |
4 | 665 | 20.0 | 5.97 | 191 | 92.1 | |
5 – Most deprived | 833 | 25.1 | 7.53 | 234 | 96.4 | |
Total | 3325 | 100.0 | 5.78 | 238 | 90.3 | |
ANOVA | F = 6.0, p < 0.001 | F = 7.1, p < 0.001 | ||||
Linearity | F = 20.9, p < 0.001 | F = 14.9, p < 0.001 | ||||
H. Physical activity and sport | ||||||
Public swimming pools | 1 – Most affluent | 1 | 8.3 | 0.00 | 2675 | 0.7 |
2 | 1 | 8.3 | 0.01 | 2387 | 0.7 | |
3 – Middling | 2 | 16.7 | 0.02 | 2101 | 1.4 | |
4 | 5 | 41.6 | 0.05 | 1978 | 3.6 | |
5 – Most deprived | 3 | 25.0 | 0.02 | 1899 | 2.2 | |
Total | 12 | 100.0 | 0.02 | 2208 | 1.7 | |
ANOVA | F = 1.26, p = 0.284 | F = 13.5, p < 0.001 | ||||
Linearity | F = 2.21, p = 0.137 | F = 50.7, p < 0.001 | ||||
Private swimming pools | 1 – Most affluent | 3 | 16.7 | 0.03 | 3372 | 2.2 |
2 | 6 | 33.3 | 0.05 | 3353 | 2.9 | |
3 – Middling | 3 | 16.7 | 0.03 | 3339 | 1.4 | |
4 | 0 | 0.0 | 0.00 | 3905 | 0.0 | |
5 – Most deprived | 6 | 33.3 | 0.04 | 3681 | 1.4 | |
Total | 18 | 100.0 | 0.03 | 3530 | 1.6 | |
ANOVA | F = 0.65, p = 0.627 | F = 2.82, p = 0.024 | ||||
Linearity | F = 0.13, p = 0.724 | F = 6.04, p = 0.014 | ||||
Public sports centres | 1 – Most affluent | 2 | 6.9 | 0.01 | 1877 | 1.4 |
2 | 1 | 3.4 | 0.01 | 1706 | 0.7 | |
3 – Middling | 8 | 27.6 | 0.07 | 1539 | 5.8 | |
4 | 10 | 34.5 | 0.09 | 1525 | 7.2 | |
5 – Most deprived | 8 | 27.6 | 0.07 | 1532 | 5.1 | |
Total | 29 | 100.0 | 0.05 | 1636 | 4.0 | |
ANOVA | F = 2.64, p = 0.033 | F = 4.57, p = 0.001 | ||||
Linearity | F = 7.32, p = 0.007 | F = 14.52, p < 0.001 | ||||
Private health clubs | 1 – Most affluent | 3 | 13.0 | 0.03 | 2517 | 2.2 |
2 | 9 | 39.1 | 0.07 | 2576 | 4.3 | |
3 – Middling | 5 | 21.7 | 0.04 | 2742 | 3.6 | |
4 | 1 | 4.3 | 0.01 | 3196 | 0.7 | |
5 – Most deprived | 5 | 21.7 | 0.04 | 2915 | 2.9 | |
Total | 23 | 100.0 | 0.04 | 2789 | 2.7 | |
ANOVA | F = 1.07, p = 0.369 | F = 3.35, p = 0.010 | ||||
Linearity | F = 0.54, p = 0.462 | F = 8.87, p = 0.003 | ||||
Tennis courts | 1 – Most affluent | 11 | 57.9 | 0.08 | 1938 | 7.9 |
2 | 5 | 26.3 | 0.04 | 2152 | 3.6 | |
3 – Middling | 2 | 10.5 | 0.01 | 2847 | 1.4 | |
4 | 1 | 5.3 | 0.01 | 3178 | 0.7 | |
5 – Most deprived | 0 | 0.0 | 0.00 | 3230 | 0.0 | |
Total | 19 | 100.0 | 0.03 | 2668 | 2.7 | |
ANOVA | F = 4.52, p = 0.001 | F = 19.97, p < 0.001 | ||||
Linearity | F = 15.72, p < 0.001 | F = 73.98, p < 0.001 | ||||
Bowling clubs | 1 – Most affluent | 11 | 22.4 | 0.08 | 1125 | 7.9 |
2 | 16 | 32.7 | 0.14 | 1096 | 10.1 | |
3 – Middling | 14 | 28.6 | 0.11 | 1293 | 9.4 | |
4 | 5 | 10.2 | 0.05 | 1418 | 3.6 | |
5 – Most deprived | 3 | 6.1 | 0.03 | 1678 | 2.2 | |
Total | 49 | 100.0 | 0.08 | 1322 | 6.6 | |
ANOVA | F = 2.81, p = 0.025 | F = 13.28, p < 0.001 | ||||
Linearity | F = 5.19, p = 0.023 | F = 47.76, p < 0.001 | ||||
Golf courses | 1 – Most affluent | 4 | 40.0 | 0.04 | 2830 | 2.9 |
2 | 0 | 0.0 | 0.00 | 2849 | 0.0 | |
3 – Middling | 2 | 20.0 | 0.02 | 2659 | 1.4 | |
4 | 3 | 30.0 | 0.02 | 2727 | 1.4 | |
5 – Most deprived | 1 | 10.0 | 0.01 | 3082 | 0.7 | |
Total | 10 | 100.0 | 0.02 | 2829 | 1.3 | |
ANOVA | F = 1.11, p = 0.350 | F = 2.32, p = 0.056 | ||||
Linearity | F = 0.69, p = 0.405 | F = 1.30, p = 0.255 | ||||
Public play areas | 1 – Most affluent | 72 | 12.6 | 0.67 | 628 | 21.6 |
2 | 98 | 17.2 | 0.83 | 563 | 26.6 | |
3 – Middling | 141 | 24.7 | 1.10 | 503 | 36.7 | |
4 | 112 | 19.6 | 0.97 | 487 | 44.6 | |
5 – Most deprived | 148 | 25.9 | 1.37 | 451 | 49.3 | |
Total | 571 | 100.0 | 0.99 | 527 | 35.7 | |
ANOVA | F = 2.73, p = 0.028 | F = 5.03, p = 0.001 | ||||
Linearity | F = 9.05, p = 0.003 | F = 19.09, p < 0.001 |