Table 2.
Strength of Agreement that Housing Affordability is linked to Health by Political Affiliation and Annual Household Income.a, b, c
| Outcome 1: The cost of housing matters for people’s health | Outcome 2: The affordability of people’s homes affects their health, not just their pocketbook | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variables (%) | Strongly Disagree | Disagree | Neither Agree nor Disagree | Agree | Strongly Agree | p | Strongly Disagree | Disagree | Neither Agree nor Disagree | Agree | Strongly Agree | p |
| Overall Sample (N=400) | 2.0 | 9.9 | 19.6 | 40.6 | 27.9 | ### | 2.6 | 11.6 | 13.4 | 39.4 | 33.1 | ### |
| Political Affiliationd | *** | † | ||||||||||
| Democrat | < 0.01 | 6.5 | 10.5 | 42.7 | 40.3 | < 0.01 | 7.4 | 10.7 | 39.8 | 42.1 | ||
| Independent | 2.5 | 9.3 | 26.8 | 34.6 | 26.8 | 3.5 | 14.2 | 13.8 | 36.3 | 32.2 | ||
| Republican | 4.1 | 15.6 | 23.6 | 44.8 | 11.9 | 5.0 | 14.2 | 16.6 | 42.5 | 21.7 | ||
| Annual Household Incomee | *** | * | ||||||||||
| 0 to 24,999 K | < 0.01 | 8.4 | 22.3 | 37.1 | 32.2 | < 0.01 | 15.1 | 15.9 | 27.0 | 41.3 | ||
| 25Kto 49,999 K | 1.8 | 6.9 | 13.7 | 39.2 | 38.0 | 2.0 | 7.9 | 5.3 | 43.0 | 41.9 | ||
| 50 K to 99,999 K | 4.4 | 12.6 | 18.2 | 44.6 | 20.2 | 4.5 | 14.4 | 13.3 | 40.5 | 27.4 | ||
| 100 K to 149,999 K | < 0.01 | 10.2 | 24.0 | 43.9 | 22.0 | 2.4 | 10.9 | 23.6 | 44.2 | 19.0 | ||
| >150 K | 5.4 | 19.5 | 31.7 | 38.1 | 5.4 | 5.4 | 1.9 | 18.5 | 64.4 | 9.8 | ||
***p< 0.001, **p< 0.01, *p< 0.05, †p< 0.10 between all all levels
Rows sum to 100% down columns in variable blocks. Percentages may not sum to 100 because of rounding error.
Estimates are weighted using population weights.
Democrats (n = 167); Independents (n = 129); Republicans (n = 104)
0–24 K (n = 92); 25–49 K (n = 95); 50–99 K (n = 120); 100–149 K (n = 61); > 150 K (n = 32)
Kruskal-Wallis nonparametric tests with Dunn’s pairwise comparisons indicate that across all levels of agreement, political affiliation categories significantly differ from each other for Outcome 1 (p< 0.001).
Kruskal-Wallis nonparametric tests with Dunn’s pairwise comparisons indicate that significant differences exist across all levels of agreement between income category > 150 K and all other categories for Outcome 1 (p< 0.001). Significant differences also exist across most levels of agreement between income category > 150 K and income categories 0–24 K, 25–49 K, and 50–99 K for Outcome 2 (p< 0.05).