Table:
World population

1980

1975

1985

World

4,434,682,000

4,068,109,000

366,573,000

4,830,979,000

396,297,000

Africa

469,618,000

408,160,000

61,458,000

541,814,000

72,196,000

Asia

2,632,335,000

2,397,512,000

234,823,000

2,887,552,000

255,217,000

Europe

692,431,000

675,542,000

16,889,000

706,009,000

13,578,000

Latin-America
& Caribbean

361,401,000

321,906,000

39,495,000

401,469,000

40,068,000

North
America

256,068,000

243,425,000

12,643,000

269,456,000

13,388,000

Oceania

22,828,000

21,564,000

1,264,000

24,678,000

1,850,000

Your is as follows:
Examine the table image and determine the locations of the mentioned cells. You need to express a cell's position with the JSON {'value': '<cell value>', 'location': (row number, column number)}, with row and column number both commencing from 1. Represent the location as 'DOES NOT EXIST' if a cell is not present in the table.
Cells to locate:
1. '61,458,000';
2. '7 August 2013';
3. '40,068,000';
4. 'Latin-America\n& Caribbean';
5. '1973–1974';
6. '401,469,000';
7. '469,618,000';
8. '24 September 2012.';
9. '396,297,000';

The coordinates of target cells are listed below.
1. {'value': '61,458,000', 'location': (3, 4)}
2. {'value': '7 August 2013', 'location': 'DOES NOT EXIST'}
3. {'value': '40,068,000', 'location': (6, 6)}
4. {'value': 'Latin-America\n& Caribbean', 'location': (6, 1)}
5. {'value': '1973–1974', 'location': 'DOES NOT EXIST'}
6. {'value': '401,469,000', 'location': (6, 5)}
7. {'value': '469,618,000', 'location': (3, 2)}
8. {'value': '24 September 2012.', 'location': 'DOES NOT EXIST'}
9. {'value': '396,297,000', 'location': (2, 6)}