Table:
country/region of birth
all
men
women

2011
2015
change
2011
2015
change
2011
2015
change

percent
percentage point
percent
percentage point
percent
percentage point

united states, united kingdom, ireland, australia, new zealand
78.6
84.3
5.7
77.4
85.1
7.7
79.6
83.6
4.0

caribbean, central/south america
65.1
72.5
7.4
65.4
73.0
7.6
64.7
72.2
7.5

western/northern europe
79.3
82.6
3.3
81.5
84.0
2.5
77.1
81.3
4.2

southern europe
73.1
72.5
-0.6
74.2
73.6
-0.6
72.1
71.4
-0.7

eastern europe
66.7
69.7
3.0
66.7
70.6
3.9
66.7
68.9
2.2

south asia
72.4
80.5
8.1
73.7
79.5
5.8
71.1
81.5
10.4

southeast asia
64.5
74.6
10.1
66.1
74.1
8.0
63.3
75.0
11.7

east asia
59.8
64.1
4.3
60.3
65.4
5.1
59.3
62.9
3.6

west central asia and middle east
56.7
73.2
16.5
56.0
69.9
13.9
57.6
76.5
18.9

africa
67.1
78.4
11.3
72.7
79.4
6.7
60.4
77.3
16.9

Analyze the provided table and extract the contents of cells located at the specified positions, identified by row and column indices. Show the cell value in the JSON format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
row 10 and column 3,
row 9 and column 4,
row 3 and column 5,
row 13 and column 9,

The target cell values are as follows:
{"row_id":"10", "column_id":"3", "cell_value":"74.6"}
{"row_id":"9", "column_id":"4", "cell_value":"8.1"}
{"row_id":"3", "column_id":"5", "cell_value":"percent"}
{"row_id":"13", "column_id":"9", "cell_value":"77.3"}