predicted probability of internet use by seniors across sociodemographic characteristics including household income, 2016
Table:
sociodemographic characteristics
2016
2016
difference

percent

age

65 to 69
81.3
81.4
-0.1

70 to 74
73.7
74.0
-0.3

75 to 79
63.8
63.3
0.5

80 and older
49.2
49.2
0.0

gender

male
69.3
69.2
0.1

female
67.4
67.5
-0.1

employment

currently employed
71.9
69.4
2.5

not employed
67.9
68.1
-0.2

household size

unattached
62.7
66.7
-4.0

living with others
70.6
69.0
1.6

education

less than high school diploma
46.2
49.4
-3.2

high school diploma
69.1
69.8
-0.7

postsecondary below bachelor's degree
76.7
76.0
0.7

bachelor's degree or higher
89.0
86.8
2.2

household income

less than $20,000
..
54.1
..

$20,000 to under $40,000
..
63.7
..

$40,000 to under $60,000
..
68.4
..

$60,000 to under $80,000
..
73.0
..

$80,000 to under $100,000
..
69.7
..

$100,000 and over
..
79.4
..

location

rural
68.2
68.8
-0.6

non-rural
68.3
68.1
0.2

health status

excellent / very good
72.6
72.3
0.3

good
66.9
66.9
0.0

fair / poor
61.9
62.9
-1.0

Answer the given question as concisely as possible using information from the table. Enclose the answer in the list of the following JSON object {"answer": ["YOUR ANSWER"]}. If more than one item applies, separate items with commas. 'predicted probability of internet use by seniors across sociodemographic characteristics including household income, 2016' is the caption of the table. Answer this question using the table data: How many percentage points was the internet use for seniors with a household income under $20,000 in 2016?

{"answer": ["54.1"]}