Table:
characteristic
total
men
women

veteran
nonveteran
veteran
nonveteran
veteran
nonveteran

all civilian college graduates
3625000
57256000
3189000
25053000
436000
32204000

race and ethnicity

white, non-hispanic
75
72.1
77.8
73.7
54.4
70.9

black, non-hispanic
13.3
7.3
11.3
5.7
27.8
8.5

asian, non-hispanic
2
9.8
2
10.8
1.9
9.1

other, non-hispanic
2.9
2.3
3
2.1
2.1
2.5

hispanic
6.8
8.5
5.8
7.8
13.8
9

age groups

34 or younger
5.6
25
4.9
23.9
10.7
25.8

35-44
11.8
22.1
10.7
21.3
19.8
22.7

45-54
20.2
20.6
17.7
20.4
38.7
20.7

55-64
21.7
18.9
21.5
19.8
23.9
18.1

65-75
40.6
13.5
45.3
14.6
6.8
12.6

median age
61
46
63
47
49
45

disability statusa

has one or more disabilities
27
13.1
26.9
13.4
27.6
13

no disability
73
86.9
73.1
86.6
72.4
87

Based on the table image, extract the cell contents located in the 16th row. Show the cells in a row in the JSON format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}. For example, {"row_id":"1", "cell_list": ["A", "B", "C"]}.

The cells in the 16th row: {"row_id": "16", "cell_list": ['median age', '61', '46', '63', '47', '49', '45']}