Table:
census metropolitan area
homicide
sexual assault
robbery
breaking and entering
motor vehicle theft
fraud
shoplifting under $5,000
uttering threats

number
rate
rate
percent change in rate 2018 to 2019
rate
percent change in rate 2018 to 2019
rate
percent change in rate 2018 to 2019
rate
percent change in rate 2018 to 2019
rate
percent change in rate 2018 to 2019
rate
percent change in rate 2018 to 2019
rate
percent change in rate 2018 to 2019

st. john's
4
1.92
79
18
58
-25
431
4
96
-19
448
-2
499
6
380
-2

halifax
3
0.68
95
-41
37
-33
196
-18
83
10
339
-12
53
554
300
15

moncton
4
2.43
77
13
38
-24
672
-1
283
9
692
-22
427
13
372
10

saint john
3
2.30
89
1
29
-37
230
-9
67
-14
383
-14
262
8
246
-8

saguenay
0
0.00
82
17
22
15
300
11
120
4
226
7
140
12
271
18

quebec
5
0.61
62
16
19
4
227
-9
51
-23
323
8
148
-10
186
-5

sherbrooke
1
0.49
77
1
18
-42
285
6
58
5
284
-5
212
0
153
-8

trois-rivieres
0
0.00
85
6
25
-6
317
-14
113
-12
336
36
127
-6
173
5

montreal
45
1.05
62
2
64
7
274
-11
172
0
362
17
181
1
154
0

gatineau
3
0.88
67
16
30
-4
260
0
73
-10
366
16
237
22
228
-10

ottawa
13
1.19
74
-2
69
13
238
-12
107
16
521
18
656
39
120
17

kingston
3
1.73
95
-24
22
-11
356
-17
116
14
569
25
360
-4
126
-2

belleville
4
3.54
129
32
29
-29
301
5
72
-30
519
16
256
11
252
29

peterborough
1
0.78
103
16
29
47
267
16
61
-15
357
2
330
-18
147
21

toronto
130
2.03
58
-2
82
-3
234
3
166
5
374
14
323
-26
117
10

hamilton
14
1.83
80
-5
64
-8
337
0
234
-20
379
6
283
13
118
13

st. catharines-niagara
6
1.25
75
-6
37
-3
418
-6
179
0
472
20
323
5
104
-5

kitchener-cambridge-waterloo
5
0.84
102
21
64
23
412
-13
142
-19
580
4
401
20
214
11

brantford
4
2.66
124
26
58
4
489
-21
379
-31
473
-1
375
5
164
-16

guelph
0
0.00
94
-1
29
-11
414
-29
132
-10
527
27
372
-6
102
-25

london
5
0.91
76
-7
55
8
448
-2
268
-12
496
-3
376
-18
103
-5

windsor
6
1.69
57
-11
57
-4
566
-16
284
-4
539
9
364
2
107
-13

barrie
3
1.18
82
27
44
2
190
-15
98
21
452
27
311
10
131
27

greater sudbury
3
1.78
141
13
48
-11
530
-17
153
-9
607
37
361
64
182
17

thunder bay
7
5.56
102
-8
131
-18
579
13
224
7
449
8
1,099
83
182
5

winnipeg
44
5.31
102
3
278
-5
826
6
461
25
510
30
943
54
160
9

regina
8
3.05
79
-7
118
9
842
-4
588
-12
478
12
727
40
119
5

saskatoon
16
4.76
118
16
121
12
829
-4
310
-14
581
-14
439
4
132
11

lethbridge
0
0.00
131
19
46
-11
898
18
348
4
938
-16
910
18
261
4

calgary
24
1.57
71
-1
89
1
738
4
520
-4
453
5
492
18
99
13

edmonton
32
2.20
93
8
111
2
606
-11
434
-7
729
4
1,233
57
162
4

kelowna
1
0.46
85
97
47
82
809
18
446
16
750
23
851
50
295
96

abbotsford-mission
1
0.50
66
6
57
22
532
-10
383
-5
440
-11
597
19
264
19

vancouver
41
1.52
65
22
66
10
536
2
228
-3
503
3
601
20
224
51

victoria
2
0.50
82
14
38
13
396
35
135
17
462
11
463
-10
265
31

canada
678
1.80
82
7
62
2
429
-1
232
0
443
10
373
11
216
20

Inspect the provided table and determine the locations of cells that have the following values.
Express the cell positions as JSON {'value': '<cell value>', 'location': (row index, column index)}, with row and column indices beginning from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.
CELL VALUE 1: '449',
CELL VALUE 2: '910',
CELL VALUE 3: '186',
CELL VALUE 4: '463',
CELL VALUE 5: '73',
CELL VALUE 6: '48',
CELL VALUE 7: 'census metropolitan area',

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': '449', 'location': (27, 12)}
CELL LOCATION 2: {'value': '910', 'location': (31, 14)}
CELL LOCATION 3: {'value': '186', 'location': (8, 16)}
CELL LOCATION 4: {'value': '463', 'location': (37, 14)}
CELL LOCATION 5: {'value': '73', 'location': (12, 10)}
CELL LOCATION 6: {'value': '48', 'location': (26, 6)}
CELL LOCATION 7: {'value': 'census metropolitan area', 'location': (1, 1)}