Table:
sociodemographic characteristics
2007
2010
2013
2016

percent

age

65 to 69
40.8
58.9
63.3
81.3

70 to 74
35.1
49.7
58.2
73.7

75 to 79
28.3
39.8
46.4
63.8

80 and older
19.3
29.4
35.7
49.2

gender

male
34.4
48.4
52.4
69.3

female
30.3
44.1
52.3
67.4

employment

currently employed
39.4
54.6
60.3
71.9

not employed
31.1
44.9
51.3
67.9

household size

unattached
27.7
39.6
47.0
62.7

living with others
33.8
48.4
54.6
70.6

highest level of education

less than a high school diploma
16.4
21.9
27.9
46.2

high school diploma
30.7
46.2
52.3
69.1

postsecondary below bachelor's degree
41.4
54.6
60.7
76.7

bachelor's degree or higher
56.3
69.7
76.4
89.0

location

rural
30.1
43.5
50.6
68.2

non-rural
32.7
46.7
52.8
68.3

health status

excellent / very good
37.9
50.2
57.3
72.6

good
30.5
45.8
51.2
66.9

fair / poor
22.4
37.2
41.7
61.9

The picture contains a table. You task is to identify any merged cells in this table, and output the scope of each merged cell using the JSON format of {'top-left':(x, y), 'bottom-right':(z, w)}. The row id and column id should start from 1.

The merged cell regions are as follows:
{'top-left':(1, 1), 'bottom-right':(2, 1)}
{'top-left':(2, 2), 'bottom-right':(2, 5)}
{'top-left':(3, 2), 'bottom-right':(3, 5)}
{'top-left':(8, 2), 'bottom-right':(8, 5)}
{'top-left':(11, 2), 'bottom-right':(11, 5)}
{'top-left':(14, 2), 'bottom-right':(14, 5)}
{'top-left':(17, 2), 'bottom-right':(17, 5)}
{'top-left':(22, 2), 'bottom-right':(22, 5)}
{'top-left':(25, 2), 'bottom-right':(25, 5)}.