Table:
birth and maternal characteristics
in-scope population
linkage rate
birth-census cohort
birth-census cohort
ratio
ratio

number
% distribution
%
number
% distribution
number
% distribution

total
687,340
100.0
90.3
135,426
100.0
687,340
100.0
1.00
1.00

type of birth

surviving to age 1
679,431
98.8
90.5
134,002
98.9
679,399
98.8
1.00
1.00

stillbirth
4,240
0.6
76.3
808
0.6
4,242
0.6
0.97
1.00

infant death
2,984
0.4
79.8
616
0.5
3,699
0.5
1.05
1.01

infant death
685
0.1
0.0
0
0.0
0
0.0
..
..

province/territory of birth

newfoundland and labrador
9,111
1.3
91.6
1,794
1.3
9,111
1.3
1.00
1.00

prince edward island
2,664
0.4
91.2
457
0.3
2,664
0.4
0.87
1.00

nova scotia
17,345
2.5
91.0
3,307
2.4
17,345
2.5
0.97
1.00

new brunswick
13,966
2.0
92.1
2,777
2.1
13,966
2.0
1.01
1.00

quebec
151,307
22.0
92.8
29,250
21.6
151,307
22.0
0.98
1.00

ontario
270,086
39.3
90.0
48,638
35.9
270,086
39.3
0.91
1.00

manitoba
29,247
4.3
90.3
8,584
6.3
29,247
4.3
1.49
1.00

saskatchewan
24,367
3.5
89.1
6,458
4.8
24,367
3.5
1.35
1.00

alberta
84,367
12.3
89.7
17,424
12.9
84,367
12.3
1.05
1.00

british columbia
81,970
11.9
86.9
15,026
11.1
81,970
11.9
0.93
1.00

yukon
685
0.1
91.1
266
0.2
685
0.1
1.97
1.00

northwest territories
1,452
0.2
87.3
825
0.6
1,452
0.2
2.88
1.00

nunavut
773
0.1
82.1
620
0.5
773
0.1
4.07
1.00

postal code at birth

urban
563,406
82.0
90.4
101,496
74.9
562,915
81.9
0.91
1.00

rural
120,245
17.5
90.6
32,970
24.3
121,907
17.7
1.39
1.01

sex of child

male
352,849
51.3
90.2
69,325
51.2
352,779
51.3
1.00
1.00

female
334,432
48.7
90.4
66,089
48.8
334,501
48.7
1.00
1.00

year of birth

2004
214,647
31.2
89.8
42,222
31.2
214,647
31.2
1.00
1.00

2005
344,654
50.1
90.3
67,670
50.0
344,654
50.1
1.00
1.00

2006
128,039
18.6
91.0
25,534
18.9
128,039
18.6
1.01
1.00

maternal age group

younger than 20
28,203
4.1
77.3
6,736
5.0
28,218
4.1
1.21
1.00

20 to 24
110,969
16.1
85.1
22,460
16.6
111,082
16.2
1.03
1.00

25 to 29
211,655
30.8
91.0
41,381
30.6
211,889
30.8
0.99
1.00

30 to 34
215,677
31.4
92.8
41,603
30.7
215,913
31.4
0.98
1.00

35 to 39
99,497
14.5
93.0
19,346
14.3
99,633
14.5
0.99
1.00

40 to 44
19,446
2.8
92.4
3,691
2.7
19,443
2.8
0.96
1.00

45 or older
859
0.1
91.4
165
0.1
870
0.1
0.97
1.01

maternal place of birth

in canada
502,649
73.1
92.0
104,535
77.2
514,031
74.8
1.06
1.02

outside canada
172,551
25.1
86.3
29,048
21.4
163,489
23.8
0.85
0.95

single or multiple birth

single
665,362
96.8
90.3
131,285
96.9
666,026
96.9
1.00
1.00

twin
20,452
3.0
91.3
4,007
3.0
20,472
3.0
0.99
1.00

triplet or more
841
0.1
91.0
134
0.1
842
0.1
0.81
1.00

Given a table image and a set of target cells, your task is to identify their positions. Represent each cell's location as JSON in the format {'value': '<cell value>', 'location': (row index, column index)}, with both row and column indices begin from 1.
Refer to the values below:
CELL VALUE 1: '69,325';
CELL VALUE 2: 'Years active';
CELL VALUE 3: '502,649';
CELL VALUE 4: 'Origin';

Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'. 

The target cell locations are as follows:
CELL LOCATION 1: {'value': '69,325', 'location': (27, 5)}
CELL LOCATION 2: {'value': 'Years active', 'location': 'DOES NOT EXIST'}
CELL LOCATION 3: {'value': '502,649', 'location': (42, 2)}
CELL LOCATION 4: {'value': 'Origin', 'location': 'DOES NOT EXIST'}