Table:
all workers
homelessness support sector
social workers
social and community service workers

count
percentage
count
percentage
count
percentage
count
percentage

total - census family status
19,956,250
100.0
6,305
100.0
62,235
100.0
155,625
100.0

married or common-law couple
13,812,910
69.2
3,535
56.1
42,200
67.8
95,890
61.6

with children
9,151,300
45.9
2,140
33.9
27,960
44.9
61,975
39.8

without children
4,661,610
23.4
1,400
22.2
14,240
22.9
33,910
21.8

lone parent
1,995,250
10.0
915
14.5
7,070
11.4
22,330
14.3

female lone parent
1,208,105
6.1
830
13.2
6,455
10.4
19,360
12.4

male lone parent
787,150
3.9
85
1.3
605
1.0
2,965
1.9

multiple census-family household
876,270
4.4
230
3.6
1,825
2.9
6,470
4.2

non-census family household
3,271,825
16.4
1,625
25.8
11,140
17.9
30,940
19.9

one person household
2,290,860
11.5
1,075
17.0
8,825
14.2
20,925
13.4

Look at the provided table image. Your goal is to find the locations of the specified cells. Remember to represent a cell's location using the JSON {'value': '<cell value>', 'location': (row index, column index)}. Both row and column indices begin from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.
Target cells:
1. 'one person household';
2. 'married or common-law couple';
3. 'multiple census-family household';
4. '85';
5. '11.5';
6. '20,925';
7. '915';

The coordinates of target cells are listed below.
1. {'value': 'one person household', 'location': (12, 1)}
2. {'value': 'married or common-law couple', 'location': (4, 1)}
3. {'value': 'multiple census-family household', 'location': (10, 1)}
4. {'value': '85', 'location': (9, 4)}
5. {'value': '11.5', 'location': (12, 3)}
6. {'value': '20,925', 'location': (12, 8)}
7. {'value': '915', 'location': (7, 4)}