Table:
province and territory
2015 population
municipal police services
provincial police services
royal canadian mounted police
total police officers
police officers per 100,000 population
percent change in rate

contract policing
federal and other policing
2014 to 2015
2005 to 2015

number
rate
percent

newfoundland and labrador
527,756
..
393
401
95
889
168
-0.4
11.7

prince edward island
146,447
97
..
102
27
226
154
-4.4
0.0

nova scotia
943,002
863
..
810
182
1,855
197
-1.6
13.6

new brunswick
753,871
437
..
688
153
1,278
170
-0.8
-2.2

quebec
8,263,600
9,521
5,555
..
935
16,011
194
-1.7
-0.4

ontario
13,792,052
18,414
6,137
..
1,654
26,205
190
-0.6
1.6

manitoba
1,293,378
1,589
..
815
198
2,602
201
-2.7
5.1

saskatchewan
1,133,637
1,041
..
988
257
2,286
202
-1.3
-0.4

alberta
4,196,457
4,209
..
2,596
350
7,155
171
0.5
6.2

british columbia
4,683,139
2,534
..
5,265
879
8,678
185
-0.9
4.5

yukon
37,428
..
..
112
18
130
347
-4.8
-7.7

northwest territories
44,088
..
..
181
20
201
456
4.4
14.4

nunavut
36,919
..
..
116
15
131
355
7.6
-11.1

provincial and territorial total
35,851,774
38,705
12,085
12,074
4,783
67,647
189
-0.9
2.2

royal canadian mounted police headquarters and training academy
..
..
..
..
1,130
1,130
..
..
..

canada
35,851,774
38,705
12,085
12,074
5,913
68,777
192
-0.9
1.4

Given a table image, your task is to extract the cells' values in the following rows or columns:
the 6th row,
the 1st row,
the 3rd row,
the 8th column,
the 2nd row,
the 8th row,

Task requirements: Provide the cells in each row or column in the JSON structure, using the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}.

The extracted row or column contents are listed below.
For the 6th row: {"row_id": "6", "cell_list": ['nova scotia', '943,002', '863', '..', '810', '182', '1,855', '197', '-1.6', '13.6']}
For the 1st row: {"row_id": "1", "cell_list": ['province and territory', '2015 population', 'municipal police services', 'provincial police services', 'royal canadian mounted police', '', 'total police officers', 'police officers per 100,000 population', 'percent change in rate', '']}
For the 3rd row: {"row_id": "3", "cell_list": ['', 'number', '', '', '', '', '', 'rate', 'percent', '']}
For the 8th column: {"column_id": "8", "cell_list": ['police officers per 100,000 population', '', 'rate', '168', '154', '197', '170', '194', '190', '201', '202', '171', '185', '347', '456', '355', '189', '..', '192']}
For the 2nd row: {"row_id": "2", "cell_list": ['', '', '', '', 'contract policing', 'federal and other policing', '', '', '2014 to 2015', '2005 to 2015']}
For the 8th row: {"row_id": "8", "cell_list": ['quebec', '8,263,600', '9,521', '5,555', '..', '935', '16,011', '194', '-1.7', '-0.4']}