Description of the data used for the multilevel analysis
| Population | Deaths | |
|---|---|---|
| Australia, all-cause mortality, males and females 25–64 years, 1998–2000. | ||
| Area-disadvantage (men) | ||
| Q1 (least disadvantaged quintile) | 852 497 | 6086 |
| Q2 | 582 044 | 5017 |
| Q3 | 711 681 | 7275 |
| Q4 | 742 412 | 8130 |
| Q5 (most disadvantaged quintile) | 504 603 | 5912 |
| Area-disadvantage (women) | ||
| Q1 (least disadvantaged quintile) | 718 375 | 2781 |
| Q2 | 456 276 | 1752 |
| Q3 | 530 880 | 2252 |
| Q4 | 543 553 | 2396 |
| Q5 (most disadvantaged quintile) | 353 340 | 1656 |
| Occupation (men) cells, n = 29 696 | ||
| Professionals | 1 497 812 | 10 384 |
| White collar | 467 419 | 2890 |
| Blue collar | 1 428 006 | 19 146 |
| Occupation (women) cells, n = 29 110 | ||
| Professionals | 1 072 799 | 4450 |
| White collar | 1 147 359 | 4232 |
| Blue collar | 382 266 | 2155 |
| Level 2: statistical local areas, n = 1317 | ||
| Level 3: statistical subdivisions, n = 187 | ||
| Level 4: statistical divisions, n = 59 | ||
| Level 5: states and territories, n = 9 | ||