Table:
age groups
%

15 to 24
88.1

25 to 34
95.2

35 to 44
92.5

45 to 54
87.3

55 to 64
78.9

65 and over
63.5

household income quartile

quartile 1 lowest household income
70.2

quartile 2
81.8

quartile 3
88.8

quartile 4 highest household income
93.5

Examine the given table and extract the contents of in the specific rows or columns, denoted by row or column indices. 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"]}.
Specified rows or columns:
the 2nd column,
the 12th row,

The cell values of target rows or columns are as follows:
For the 2nd column: {"column_id": "2", "cell_list": ['%', '88.1', '95.2', '92.5', '87.3', '78.9', '63.5', '', '70.2', '81.8', '88.8', '93.5']}
For the 12th row: {"row_id": "12", "cell_list": ['quartile 4 highest household income', '93.5']}