Table 1.
Descriptive statistics of wave-3 and wave-4 data and their overlap
| Wave 3 | Wave 4 | Overlap of wave 3 and 4 - wave 4 values | |
|---|---|---|---|
| (N = 9779) | (N = 11,050) | (N = 7908) | |
| Age: mean (median) | 64.56 (63) | 65.24 (64) | 66.40 (65) |
| Gender: female (%) | 0.56 | 0.55 | 0.57 |
| Education: low (%) a | – | 0.42 | 0.42 |
| Education: medium (%) a | – | 0.27 | 0.27 |
| Education: high (%) a | – | 0.31 | 0.31 |
| Income: low (%) b | – | 0.31 | 0.32 |
| Income: medium (%) b | – | 0.33 | 0.33 |
| Income: high (%) b | – | 0.36 | 0.35 |
| General health c | |||
| w3: very good/w4: excellent (%) | 0.26 | 0.13 | 0.12 |
| w3: good/w4: very good (%) | 0.43 | 0.29 | 0.29 |
| w3: fair/w4: good (%) | 0.24 | 0.32 | 0.33 |
| w3: bad/w4: fair (%) | 0.06 | 0.19 | 0.19 |
| w3: very bad/w4: poor (%) | 0.01 | 0.07 | 0.07 |
a The education division is from a level lower than “O-level” or equivalent (typically 0–11 years of schooling), qualified to a level lower than “A-level” or equivalent (typically 12–13 years), and a higher qualification (typically >13 years)
b Income groups were formed by dividing equalised total income into three approximately equally sized groups based on the sample
c The response options for the general health question differed for the two waves, leading to a very different response pattern. “w3” and “w4” are abbreviations for wave 3 and wave 4, respectively
– Information on education and income was incomplete for wave-3 data and is, therefore, not included in the table