Table:
municipalities
as a percent of visible minority females in each cma
as a percent of total female population in each cma/municipality
largest visible minority group in each cma/municipality
largest visible minority group as a percent of total female population in each cma/municipality

toronto cma
100.0
47.6
south asian
14.7

toronto
49.3
49.8
south asian
11.8

mississauga
14.5
54.1
south asian
21.4

brampton
13.0
66.5
south asian
37.7

markham
8.2
72.5
chinese
38.5

richmond hill
3.7
53.4
chinese
23.6

vancouver cma
100.0
46.1
chinese
18.6

vancouver
30.2
53.7
chinese
28.6

surrey
22.9
52.7
south asian
30.3

richmond
13.1
71.3
chinese
47.7

burnaby
12.7
60.9
chinese
31.6

coquitlam
5.3
44.6
chinese
17.5

montreal cma
100.0
20.2
black
5.9

montreal
66.8
31.3
black
9.4

laval
10.6
20.5
black
6.2

longueuil
4.2
14.0
black
4.8

brossard
4.0
38.0
chinese
12.3

dollard-des ormeaux
2.4
36.4
south asian
9.9

calgary cma
100.0
28.4
south asian
6.9

calgary
96.5
30.3
south asian
7.3

chestermere
1.3
29.3
south asian
9.5

airdrie
1.1
8.6
filipino
2.1

rocky view county
1.0
9.3
south asian
3.7

cochrane
0.2
3.4
filipino
1.3

Based on the provided table, please extract the cells' values in the following rows or columns. Output the cell values in each row or column as JSON in the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.
Target row or column indices:
row 9,
column 5,

The cell values of target rows or columns are as follows:
For row 9: {"row_id": "9", "cell_list": ['vancouver', '30.2', '53.7', 'chinese', '28.6']}
For column 5: {"column_id": "5", "cell_list": ['largest visible minority group as a percent of total female population in each cma/municipality', '14.7', '11.8', '21.4', '37.7', '38.5', '23.6', '18.6', '28.6', '30.3', '47.7', '31.6', '17.5', '5.9', '9.4', '6.2', '4.8', '12.3', '9.9', '6.9', '7.3', '9.5', '2.1', '3.7', '1.3']}