Consumer acceptance of genetic-based personalized nutrition in Hungary

Genes & Nutrition

Table 1 Distribution of the sample according to background variables (N = 1000), population composition according to representative variables

Label	Sample distribution		Population distribution¹
Label	Count	%	%
Male	471	47.1	47.8
Female	529	52.9	52.2
18–29 years	169	16.9	17.2
30–39 years	161	16.1	16.0
40–49 years	196	19.6	19.6
50–59 years	152	15.2	15.1
60–69 years	163	16.3	16.3
70–years	159	15.9	15.8
Budapest	181	18.1	17.9
Other town	550	55.0	52.6
Village	269	26.9	29.5
Western Transdanubia	100	10.0	10.1
Central Transdanubia	109	10.9	10.8
Southern Transdanubia	94	9.4	9.0
Northern Great Plain	148	14.8	14.8
Central Hungary	298	29.8	31.0
Northern Hungary	119	11.9	11.5
Southern Great Plain	132	13.2	12.7
Primary school	109	10.9
Vocational school	394	39.4
High school	364	36.4
Higher education	133	13.3
Can live on it very well and can also save	78	7.8
Can live on it but can save little	392	39.2
Just enough to live on but cannot save	427	42.7
Sometimes cannot make ends meet	74	7.4
Have regular financial problems	9	0.9
Not known / No answer	20	2.0

ISSN: 1865-3499