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Table 1 Demographic data of the old generation (n = 464)

From: Sports activities of 60 above Hungarian elderly-explaining and predicting impact of exercise on health

  Capita %   Capita %
Gender Marital status
male 214 46,1% single 17 3,6%
female 251 53,9% married 250 53,8%
Highest level of education divorced 69 14,9%
Primary (up to 8 years of elementary school) 278 59,8% widowed 110 23,8%
Secondary level (vocational training, vocational secondary school, high school) 120 25,9% registered partnership 18 3,9%
Higher education (advanced technical school, bachelor’s degree, master’s degree) 65 14,1% Region
no respond 1 0,2% Central Hungary 130 28,1%
Economic activity Central Transdanubia 53 11,5%
Active blue-collar worker 50 10,8% West Pannon 46 9,9%
Active white-collar worker 29 6,2% South Transdanubia 43 9,2%
Retired 373 80,3% Northern Hungary 60 13,0%
Unemployed 3 0,7% Northern Great Plain 71 15,3%
Other inactive status 7 1,5% Southern Great Plain 61 13,0%
no respond 2 0,4% Settlement
Monthly income level Budapest 79 17,0%
We make a living by it very well and we can spare money. 141 30,3% city with county rights 99 21,2%
Just enough to make a living by it, and we can’t spare. 256 55,2% city 138 29,7%
We have living problems regularly. 51 11,0% village 149 32,1%
no respond 16 3,5% Number of the regularly athletes in the household
The number of people living in the same household 0 392 84,4%
1 160 34,4% 1 52 11,2%
2 238 51,1% 2 14 3,0%
3 36 7,8% 3 6 1,2%
4 16 3,4% 4 1 0,2%
5 6 1,3% State of health limits sport activity
6 6 1,3% yes 236 50,9%
7 1 0,2% no 220 47,4%
no respond 2 0,5% no respond 8 1,7%