Table:
Country

Age
25-64
(%)

Age

Year

Non-OECD

25-34
(%)
35-44
(%)
45-54
(%)
55-64
(%)

Australia
42
48
46
38
33
2014

Austria
30
38
33
27
21
2014

Belgium
37
44
42
34
26
2014

Brazil
14
15
14
14
11
2013

Canada
54
58
61
51
45
2014

Chile
21
27
24
17
14
2013

China
17
27
15
7
2
2018

Colombia
22
28
23
18
16
2014

Costa Rica
18
21
19
17
17
2014

Czech Republic
22
30
21
20
15
2014

Denmark
36
42
41
33
29
2014

Estonia
38
40
39
35
36
2014

Finland
42
40
50
44
34
2014

France
32
44
39
26
20
2013

Germany
27
28
29
26
25
2014

Greece
28
39
27
26
21
2014

Hungary
23
32
25
20
17
2014

Iceland
37
41
42
36
29
2014

Indonesia
8
10
9
8
4
2011

Ireland
41
51
49
34
24
2014

Israel
49
46
53
48
47
2014

Italy
17
24
19
13
12
2014

Japan
48
59
53
47
35
2014

Latvia
30
39
31
27
23
2014

Lithuania
37
53
38
30
28
2014

Luxembourg
46
53
56
40
32
2014

Mexico
19
25
17
16
13
2014

Netherlands
34
44
38
30
27
2014

New Zealand
36
40
41
32
29
2014

Norway
42
49
49
36
32
2014

Poland
27
43
32
18
14
2014

Portugal
22
31
26
17
13
2014

Russia
54
58
55
53
50
2013

Saudi Arabia
22
26
22
18
14
2013

Slovakia
20
30
21
15
14
2014

Slovenia
29
38
35
24
18
2014

South Africa
7
5
7
8
7
2012

South Korea
45
68
56
33
17
2014

Spain
35
41
43
30
21
2014

Sweden
39
46
46
32
30
2014

Switzerland
40
46
45
38
31
2014

Turkey
17
25
16
10
10
2014

United Kingdom
42
49
46
38
35
2014

United States
44
46
47
43
41
2014

Based on the provided table, please extract the cells' values in the following rows. Provide the cells in a row in the JSON structure, using the format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}.
Target row indices:
the 41th row,
the 4th row,
the 31th row,
the 44th row,
the 36th row,
the 16th row,

The extracted row contents are listed below.
For the 41th row: {"row_id": "41", "cell_list": ['Spain', '35', '41', '43', '30', '21', '2014', '']}
For the 4th row: {"row_id": "4", "cell_list": ['Austria', '30', '38', '33', '27', '21', '2014', '']}
For the 31th row: {"row_id": "31", "cell_list": ['New Zealand', '36', '40', '41', '32', '29', '2014', '']}
For the 44th row: {"row_id": "44", "cell_list": ['Turkey', '17', '25', '16', '10', '10', '2014', '']}
For the 36th row: {"row_id": "36", "cell_list": ['Saudi Arabia', '22', '26', '22', '18', '14', '2013', '-']}
For the 16th row: {"row_id": "16", "cell_list": ['France', '32', '44', '39', '26', '20', '2013', '']}