Table:
region or country of ancestry
women
men

non-university or university postsecondary diploma
university degree only
non-university or university postsecondary diploma
university degree only

region of ancestry
percent

caribbean and latin america
78.1
34.8
59.5
18.4

africa
79.6
50.8
63.6
35.3

other regions
59.8
19.1
46.8
14.1

country of ancestry

jamaica
75.5
31.3
54.6
15.8

haiti
84.5
37.1
65.8
18.3

trinidad and tobago
76.1
36.5
61.4
20.4

barbados
79.4
39.2
64.4
22.8

guyana
74.8
32.5
57.6
20.6

saint vincent and the grenadines
76.1
35.0
58.3
17.5

grenada
78.0
34.3
62.0
21.4

ghana
81.7
49.8
65.7
31.4

nigeria
86.4
63.3
75.3
51.5

united states
63.9
23.2
49.2
17.7

united kingdom
71.9
32.0
53.9
22.1

canada
56.5
16.0
44.8
11.8

Based on the table image, extract the cell contents located in the 14th row. The cells in a row should be presented in the JSON format of {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}, e.g., {"row_id":"3", "cell_list": ["xxx", "yyy", "zzz"]}.

The target cell values of the 14th row: {"row_id": "14", "cell_list": ['grenada', '78.0', '34.3', '62.0', '21.4']}