Table:
relationship type
2017
2016r
average 2007 to 2016

number of victims
percent
rate
number of victims
percent
rate
number of victims
percent

family relationship
137
31.1
0.37
141
32.6
0.39
148
32.6

spousal relationship
51
11.6
..
55
12.7
..
63
13.9

legal husband/wife
16
3.6
..
23
5.3
..
23
5.0

common-law husband/wife
21
4.8
..
23
5.3
..
26
5.6

separated or divorced husband/wife
8
1.8
..
2
0.5
..
7
1.5

separated common-law husband/wife
5
1.1
..
5
1.2
..
7
1.4

same-sex spouse
1
0.2
..
2
0.5
..
2
0.3

other family relationship
86
19.5
..
86
19.9
..
85
18.7

father or mother
21
4.8
..
18
4.2
..
25
5.5

son or daughter
34
7.7
..
33
7.6
..
26
5.8

sibling
6
1.4
..
10
2.3
..
10
2.2

extended family
25
5.7
..
25
5.8
..
23
5.1

intimate relationship
25
5.7
..
21
4.9
..
23
5.1

acquaintance
143
32.4
0.39
171
39.6
0.47
165
36.4

close friend
32
7.3
..
33
7.6
..
32
7.2

neighbour
24
5.4
..
9
2.1
..
13
2.9

authority or reverse authority figure
1
0.2
..
10
2.3
..
4
0.8

business relationship
5
1.1
..
9
2.1
..
8
1.8

casual acquaintance
81
18.4
..
110
25.5
..
108
23.8

criminal relationship
59
13.4
0.16
40
9.3
0.11
44
9.7

stranger
77
17.5
0.21
59
13.7
0.16
74
16.3

unknown relationship
2
..
..
3
..
..
4
..

total solved homicides
443
100.0
..
435
100.0
..
456
100.0

unsolved homicides
217
..
..
177
..
..
123
..

total homicides
660
..
..
612
..
..
578
..

Retrieve the cell contents in row 1 of this table. Output the cell values in a row as JSON in the format {"row_id":"<row index>", "cell_list":"<a list of cells in this row>"}, e.g., {"row_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.

The cells in row 1: {"row_id": "1", "cell_list": ['relationship type', '2017', '', '', '2016r', '', '', 'average 2007 to 2016', '']}