predicted probability of internet use by seniors across sociodemographic characteristics, 2007 to 2016
Table:
sociodemographic characteristics
2007
2010
2013
2016

percent

age

65 to 69
40.8
58.9
63.3
81.3

70 to 74
35.1
49.7
58.2
73.7

75 to 79
28.3
39.8
46.4
63.8

80 and older
19.3
29.4
35.7
49.2

gender

male
34.4
48.4
52.4
69.3

female
30.3
44.1
52.3
67.4

employment

currently employed
39.4
54.6
60.3
71.9

not employed
31.1
44.9
51.3
67.9

household size

unattached
27.7
39.6
47.0
62.7

living with others
33.8
48.4
54.6
70.6

highest level of education

less than a high school diploma
16.4
21.9
27.9
46.2

high school diploma
30.7
46.2
52.3
69.1

postsecondary below bachelor's degree
41.4
54.6
60.7
76.7

bachelor's degree or higher
56.3
69.7
76.4
89.0

location

rural
30.1
43.5
50.6
68.2

non-rural
32.7
46.7
52.8
68.3

health status

excellent / very good
37.9
50.2
57.3
72.6

good
30.5
45.8
51.2
66.9

fair / poor
22.4
37.2
41.7
61.9

Provide the shortest accurate answer you can to the following question, based only on the table data. Answers must be within a JSON object e.g. {"answer": ["YOUR ANSWER"]}. List multiple answers with commas inside the list object. The table caption is 'predicted probability of internet use by seniors across sociodemographic characteristics, 2007 to 2016'. Answer this question using the table data: How many percentage points did the absolute gap between seniors aged 65 to 69 and seniors aged 80 and older stand in 2017?

{"answer": ["21.5"]}