Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   rank | airport               |   total passengers | % change 2006 / 2007   |   international passengers |   domestic passengers |   transit passengers |   aircraft movements |   freight (metric tonnes) |
|-------:|:----------------------|-------------------:|:-----------------------|---------------------------:|----------------------:|---------------------:|---------------------:|--------------------------:|
|      1 | london heathrow       |           68066028 | 0.8%                   |                   62098911 |               5753476 |               213641 |               481476 |                   1310987 |
|      2 | london gatwick        |           35216113 | 3.1%                   |                   31142002 |               4023402 |                50709 |               266550 |                    171078 |
|      3 | london stansted       |           23779697 | 0.4%                   |                   21204946 |               2554304 |                20447 |               208462 |                    203747 |
|      4 | manchester            |           22112625 | 1.5%                   |                   18662468 |               3229255 |               220902 |               222703 |                    165366 |
|      5 | london luton          |            9927321 | 5.3%                   |                    8427894 |               1491467 |                 7960 |               120238 |                     38095 |
|      6 | birmingham airport    |            9226340 | 0.9%                   |                    7592240 |               1541815 |                92285 |               114679 |                     13585 |
|      7 | edinburgh             |            9047558 | 5.1%                   |                    3417891 |               5619309 |                10358 |               128172 |                     19292 |
|      8 | glasgow international |            8795727 | 0.6%                   |                    4131512 |               4594575 |                69640 |               108305 |                      4276 |
|      9 | bristol               |            5926774 | 2.9%                   |                    4608290 |               1275566 |                42918 |                76428 |                        20 |
|     10 | newcastle             |            5650716 | 4.0%                   |                    3948594 |               1675013 |                27109 |                79200 |                       785 |
|     11 | liverpool             |            5468510 | 10.2%                  |                    4636149 |                827085 |                 5276 |                86668 |                      3709 |
|     12 | east midlands         |            5413360 | 14.5%                  |                    4709855 |                696649 |                 6856 |                93989 |                    274753 |
|     13 | belfast international |            5272664 | 4.6%                   |                    1788807 |               3447248 |                36609 |                77395 |                     38429 |
|     14 | aberdeen              |            3412257 | 7.8%                   |                    1475988 |               1935152 |                 1117 |               121927 |                      3434 |
|     15 | london city           |            2912123 | 23.5%                  |                    2214884 |                697239 |                    0 |                91177 |                         0 |
|     16 | leeds bradford        |            2881539 | 3.2%                   |                    2229283 |                630575 |                21681 |                65249 |                       109 |
|     17 | glasgow prestwick     |            2422332 | 1.0%                   |                    1827592 |                593117 |                 1623 |                47910 |                     31517 |
|     18 | belfast city          |            2186993 | 3.9%                   |                      93547 |               2093320 |                  126 |                43022 |                      1057 |
|     19 | cardiff               |            2111148 | 4.3%                   |                    1665247 |                428260 |                17641 |                43963 |                      2391 |

Question:
If the total passengers at glasgow international Airport increase by 15% in 2008, approximately how many passengers would the airport handle in 2008?


id: aa9a653502bd85c8923c87279499a902
qtype: NumericalReasoning
label: 10115086