Task: Data-Imputation (source dataset: WebTable)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
| Rank   | Country                    | Population 1989 estimate   |
|:-------|:---------------------------|:---------------------------|
| -      | World population           | 5,230,452,409              |
| 1      | People's Republic of China | 1,110,000,000              |
| 2      | India                      | 814,000,000                |
| 3      | Soviet Union               | 287,800,000                |
| 4      | United States of America   | 250,000,000                |
| 5      | Indonesia                  | 175,000,000                |
| 6      | Brazil                     | 147,500,000                |
| 7      | Japan                      | 123,000,000                |
| 8      | Nigeria                    | 114,000,000                |
| 9      | Bangladesh                 | 112,800,000                |
| 10     | Pakistan                   | 107,000,000                |
| 11     | Mexico                     | 84,900,000                 |
| 12     | Vietnam                    | 64,400,000                 |
| 13     | West Germany               | 62,000,000                 |
| 14     | Philippines                | 61,900,000                 |
| 15     | Italy                      | 57,500,000                 |
| 16     | United Kingdom             | 57,100,000                 |
| 17     | France                     | 56,000,000                 |
| 18     | Turkey                     | 55,400,000                 |
| 19     | Egypt                      | 55,000,000                 |
| 20     | Thailand                   | 55,000,000                 |
| 21     | Iran                       | 55,000,000                 |
| 22     | Ethiopia                   | 47,700,000                 |
| 23     | South Korea                | 42,400,000                 |
| 24     | Myanmar                    | 39,900,000                 |
| 25     | Spain                      | 39,200,000                 |
| 26     | Poland                     | 37,900,000                 |
| 27     | South Africa               | 35,600,000                 |
| 28     | Zaire                      | 34,000,000                 |
| 29     | Argentina                  | [MISSING]                  |
| 30     | Colombia                   | 32,300,000                 |
| 31     | Canada                     | 26,200,000                 |
| 32     | Morocco                    | 25,400,000                 |
| 33     | Sudan                      | 25,000,000                 |
| 34     | Tanzania                   | 24,700,000                 |
| 35     | Algeria                    | 24,700,000                 |
| 36     | SFR Yugoslavia             | 23,800,000                 |
| 37     | Kenya                      | 23,700,000                 |
| 38     | Romania                    | 23,200,000                 |
| 39     | North Korea                | 22,000,000                 |
| 40     | Peru                       | 21,800,000                 |
| 41     | Taiwan                     | 20,100,000                 |
| 42     | Venezuela                  | 19,400,000                 |
| 43     | Nepal                      | 18,800,000                 |
| 44     | Iraq                       | 17,600,000                 |
| 45     | Sri Lanka                  | 17,500,000                 |
| 46     | Malaysia                   | 17,400,000                 |
| 47     | Uganda                     | 16,800,000                 |
| 48     | Australia                  | 16,800,000                 |
| 49     | East Germany               | 16,400,000                 |



row_idx: 29
col_idx: 2
col_name: Population 1989 estimate
label: 32,400,000