Table:
total
recent immigrants
long-term immigrants
canadian-born aged 25 to 34
canadian-born aged 35 to 64

number

population with a university degree

2001
3,131,700
414,300
505,500
722,100
1,489,800

2006
3,883,100
597,300
664,900
800,900
1,820,000

2011
4,622,800
662,900
907,300
933,800
2,118,800

2016
5,201,300
795,600
1,107,900
1,015,800
2,282,000

percent

growth from 2001 to 2016
66.1
92.0
119.2
40.7
53.2

individuals with a university degree within each population group

2001
19.5
33.8
21.5
22.9
15.9

2006
22.7
46.6
24.5
25.7
18.2

2011
25.5
49.0
29.6
28.3
20.4

2016
28.0
49.9
34.2
29.9
22.1

Can you extract the data from these specific rows or columns in the table provided?
the 3rd column,
the 2nd row,
the 6th column,
the 12th row,

Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.

The extracted row or column contents are listed below.
For the 3rd column: {"column_id": "3", "cell_list": ['recent immigrants', '', '', '414,300', '597,300', '662,900', '795,600', '', '92.0', '', '33.8', '46.6', '49.0', '49.9']}
For the 2nd row: {"row_id": "2", "cell_list": ['', 'number', '', '', '', '']}
For the 6th column: {"column_id": "6", "cell_list": ['canadian-born aged 35 to 64', '', '', '1,489,800', '1,820,000', '2,118,800', '2,282,000', '', '53.2', '', '15.9', '18.2', '20.4', '22.1']}
For the 12th row: {"row_id": "12", "cell_list": ['2006', '22.7', '46.6', '24.5', '25.7', '18.2']}