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

Answer the given question as concisely as possible using information from the table. Return the answer in the JSON form {"answer": ["YOUR ANSWER"]}; for multiple items, use commas. 'predicted probability of internet use by seniors across sociodemographic characteristics, 2007 to 2016' is the caption of the table. Refer to the table to answer the question below: How many percentage points did the absolute gap between seniors aged 65 to 69 and seniors aged 80 and older increase to in 2017?

{"answer": ["32.1"]}