Table:
female
male

with transfers
without transfers
with transfers
without transfers

percent

0 to 4 years
18.9
35.2
16.6
32.8

5 to 9 years
13.2
31.0
12.8
27.8

10 to 14 years
12.9
27.0
11.9
26.5

15 to 19 years
13.9
25.7
14.3
25.6

20 to 24 years
15.9
24.0
11.5
18.0

25 to 29 years
13.0
20.9
9.8
17.5

30 to 34 years
11.7
21.9
11.4
19.7

35 to 39 years
12.5
23.3
10.8
20.7

40 to 44 years
12.0
22.2
10.1
19.4

45 to 49 years
11.5
21.3
10.4
18.9

50 to 54 years
11.5
17.0
12.1
19.5

55 to 59 years
11.6
21.9
14.1
20.8

60 to 64 years
16.7
31.8
14.0
24.8

65 to 69 years
12.7
48.8
13.5
39.8

70 to 74 years
15.3
58.7
11.1
49.6

75 to 79 years
16.1
59.7
12.1
58.6

80 to 84 years
20.0
66.7
9.3
59.9

85 years and older
24.5
67.4
12.6
58.8

According to the table image, show the cell contents in the 1st row. Represent the cells in a row with the JSON format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}. For instance, {"row_id":"5", "cell_list": ["152", "UN", "one last kiss"]}.

The target cell values of the 1st row: {"row_id": "1", "cell_list": ['', 'female', '', 'male', '']}