Table:
sociodemographic characteristics
2016
2016
difference

percent

age

65 to 69
81.3
81.4
-0.1

70 to 74
73.7
74.0
-0.3

75 to 79
63.8
63.3
0.5

80 and older
49.2
49.2
0.0

gender

male
69.3
69.2
0.1

female
67.4
67.5
-0.1

employment

currently employed
71.9
69.4
2.5

not employed
67.9
68.1
-0.2

household size

unattached
62.7
66.7
-4.0

living with others
70.6
69.0
1.6

education

less than high school diploma
46.2
49.4
-3.2

high school diploma
69.1
69.8
-0.7

postsecondary below bachelor's degree
76.7
76.0
0.7

bachelor's degree or higher
89.0
86.8
2.2

household income

less than $20,000
..
54.1
..

$20,000 to under $40,000
..
63.7
..

$40,000 to under $60,000
..
68.4
..

$60,000 to under $80,000
..
73.0
..

$80,000 to under $100,000
..
69.7
..

$100,000 and over
..
79.4
..

location

rural
68.2
68.8
-0.6

non-rural
68.3
68.1
0.2

health status

excellent / very good
72.6
72.3
0.3

good
66.9
66.9
0.0

fair / poor
61.9
62.9
-1.0

Your task:
Look at the table image, determine the locations of the following cells. A cell's location MUST be represented as a json structure {'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.
Target cells:
CELL VALUE 1: '69.2';
CELL VALUE 2: '69.0';
CELL VALUE 3: '46.2';
CELL VALUE 4: '69.8';
CELL VALUE 5: '0.3';
CELL VALUE 6: 'health status';
CELL VALUE 7: '67.4';
CELL VALUE 8: '73.7';

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': '69.2', 'location': (9, 3)}
CELL LOCATION 2: {'value': '69.0', 'location': (16, 3)}
CELL LOCATION 3: {'value': '46.2', 'location': (18, 2)}
CELL LOCATION 4: {'value': '69.8', 'location': (19, 3)}
CELL LOCATION 5: {'value': '0.3', 'location': (33, 4)}
CELL LOCATION 6: {'value': 'health status', 'location': (32, 1)}
CELL LOCATION 7: {'value': '67.4', 'location': (10, 2)}
CELL LOCATION 8: {'value': '73.7', 'location': (5, 2)}