Table:
immigrant class

family
economic
business
dependants
refugees

percent distribution

industry

construction of buildings
3.5
2.6
1.8
2.0
4.9

specialty trade contractors
6.9
5.0
2.6
3.7
10.1

manufacturing
1.7
1.5
1.5
1.3
1.8

wholesale trade
1.0
1.3
1.4
1.1
1.0

retail trade
5.3
6.6
7.6
6.7
5.5

truck transportation
5.4
2.5
1.0
1.5
6.0

transit and ground passenger transportation
5.9
5.1
0.9
1.1
9.4

lessors of real estate
13.9
16.8
37.9
22.6
11.5

offices of real estate agents and brokers
1.6
2.8
1.5
2.3
1.4

accounting, tax preparation, bookkeeping and payroll services
1.9
2.8
1.2
2.5
1.3

architectural, engineering and related services
0.4
1.6
0.5
0.7
0.5

computer systems design and related services
0.7
2.5
0.3
1.4
0.6

management, scientific and technical consulting services
3.3
7.4
5.7
4.9
2.5

services to buildings and dwellings
13.0
10.5
8.2
11.9
14.8

offices of physicians
0.9
2.1
0.3
1.8
0.7

offices of dentists
0.4
0.4
0.2
0.9
0.4

child day-care services
10.7
2.9
1.3
6.8
5.3

food services and drinking places
1.0
0.9
1.0
0.9
1.1

all other industries
22.4
24.6
25.0
26.1
21.0

total
100.0
100.0
100.0
100.0
100.0

number

total
119,094
81,116
16,070
88,902
66,056

percent

knowledge-based industries
5.8
13.8
7.5
9.0
4.7

Analyze the provided table and identify the locations of these cells:
CELL VALUE 1: 'offices of physicians'
CELL VALUE 2: 'manufacturing'
CELL VALUE 3: '13.0'
CELL VALUE 4: 'number'
Provide the cell locations using the JSON format {'value': '<cell value>', 'location': (row number, column number)}, where row and column number start from 1. Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.

The target cell locations are as follows:
CELL LOCATION 1: {'value': 'offices of physicians', 'location': (19, 1)}
CELL LOCATION 2: {'value': 'manufacturing', 'location': (7, 1)}
CELL LOCATION 3: {'value': '13.0', 'location': (18, 2)}
CELL LOCATION 4: {'value': 'number', 'location': (25, 2)}