Table 3.
Frequency table of contextual effect estimates and variables used in model based on tertiles of percentage distributions of selected factors over geographical areas in Stockholm county
| Number of hospital admissions (%) | Number of deaths (%) | |
|---|---|---|
| Categories (tertiles) based on the percentage of Swedish born in a geographical area | ||
| High % born in Sweden | 2295 (22%) | 261 (23%) |
| Medium % born in Sweden | 3368 (32%) | 370 (32%) |
| Low % born in Sweden | 4832 (46%) | 517 (45%) |
| Categories (tertiles) based on population density in a geographical area | ||
| High population density | 4210 (40%) | 472 (41%) |
| Medium population density | 3848 (37%) | 375 (33%) |
| Low population density | 2437 (23%) | 301 (26%) |
| Categories (tertiles) based on the percentage of childrena in a geographical area | ||
| High % children | 3145 (30%) | 338 (29%) |
| Medium% children | 4504 (43%) | 460 (40%) |
| Low % children | 2846 (27%) | 350 (30%) |
| Categories (tertiles) based on the percentage of older adultsb in a geographical area | ||
| High % elderly | 2534 (24%) | 324 (28%) |
| Medium % elderly | 3971 (38%) | 455 (40%) |
| Low % elderly | 3990 (38%) | 369 (32%) |
| Index variable based on area covariate above (tertiles) | ||
| High | 2922 (28%) | 339 (30%) |
| Medium | 3891 (37%) | 408 (36%) |
| Low | 3682 (35%) | 401 (35%) |
aChildren = 0–15 years of age
bElderly = 70 years or older