Development of a metric for tracking and comparing population health based on the minimal generic set of domains of functioning and health

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

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