Table:
socio-economic characteristic
no police contact in 24 months prior to death
at least one contact with police in 24 months prior to death

percent

years employed in the 5 years prior to death

none
34
34

one to four
37
47

all five
29
20

industry of last held job

construction
20
23

manufacturing
8
10

retail trade
10
9

transportation and warehousing
7
5

administrative and support, waste management and remediation services
11
15

accommodation and food services
11
11

years receiving social assistance in the 5 years prior to death

none
45
32

one to four
25
34

all five
30
34

income and social assistance received
dollars

total income for last year employed - mean
25,207
15,325

amount of social assistance most recently received - mean
7,875
7,173

Based on the provided table, please extract the cells' values in the following rows or columns. 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"]}.
Target row or column indices:
row 12
row 14
row 20
column 2
row 7

The extracted row or column contents are listed below.
For row 12: {"row_id": "12", "cell_list": ['administrative and support, waste management and remediation services', '11', '15']}
For row 14: {"row_id": "14", "cell_list": ['years receiving social assistance in the 5 years prior to death', '', '']}
For row 20: {"row_id": "20", "cell_list": ['amount of social assistance most recently received - mean', '7,875', '7,173']}
For column 2: {"column_id": "2", "cell_list": ['no police contact in 24 months prior to death', 'percent', '', '34', '37', '29', '', '20', '8', '10', '7', '11', '11', '', '45', '25', '30', 'dollars', '25,207', '7,875']}
For row 7: {"row_id": "7", "cell_list": ['industry of last held job', '', '']}