Task: Table-QA (source dataset: FinQA)

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:
| ( in thousands )    | year ended december 31 , 2012   | year ended december 31 , 2011   | year ended december 31 , 2010   |
|:--------------------|:--------------------------------|:--------------------------------|:--------------------------------|
| united states       | $ 265436                        | $ 215924                        | $ 188649                        |
| japan               | 122437                          | 112171                          | 95498                           |
| germany             | 82008                           | 72301                           | 60399                           |
| canada              | 12384                           | 12069                           | 9875                            |
| other european      | 177069                          | 166551                          | 138157                          |
| other international | 138684                          | 112433                          | 87658                           |
| total revenue       | $ 798018                        | $ 691449                        | $ 580236                        |

Question:
for the year ended december 312012 what was the percent of the revenue by geographic area that was from the united states


pre_text: 16 .
leases the company's executive offices and those related to certain domestic product development , marketing , production and administration are located in a 107000 square foot office facility in canonsburg , pennsylvania .
in may 2004 , the company entered into the first amendment to its existing lease agreement on this facility , effective january 1 , 2004 .
the lease was extended from its original period to a period through 2014 .
the company incurred lease rental expense related to this facility of $ 1.3 million in each of the years ended december 31 , 2012 , 2011 and 2010 .
the future minimum lease payments are $ 1.4 million per annum from january 1 , 2013 through december 31 , 2014 .
on september 14 , 2012 , the company entered into a lease agreement for 186000 square feet of rentable space to be located in a to-be-built office facility in canonsburg , pennsylvania , which will serve as the company's new headquarters .
the lease was effective as of september 14 , 2012 , but because the leased premises are to-be-built , the company will not be obligated to pay rent until the later of ( i ) three months following the date that the leased premises are delivered to ansys , which delivery , subject to certain limited exceptions , shall occur no later than october 1 , 2014 , or ( ii ) january 1 , 2015 ( such later date , the 201ccommencement date 201d ) .
the term of the lease is 183 months , beginning on the commencement date .
absent the exercise of options in the lease for additional rentable space or early lease termination , the company's base rent will be $ 4.3 million per annum for the first five years of the lease term , $ 4.5 million per annum for years six through ten and $ 4.7 million for years eleven through fifteen .
as part of the acquisition of apache on august 1 , 2011 , the company acquired certain leased office property , including executive offices , which comprise a 52000 square foot office facility in san jose , california .
in june 2012 , the company entered into a new lease for this property , with the lease term commencing july 1 , 2012 and ending june 30 , 2022 .
total remaining minimum payments under the operating lease as of december 31 , 2012 are $ 9.2 million , of which $ 0.9 million will be paid in 2013 .
the company has entered into various other noncancellable operating leases for office space .
office space lease expense totaled $ 13.7 million , $ 12.8 million and $ 11.5 million for the years ended december 31 , 2012 , 2011 and 2010 , respectively .
future minimum lease payments under noncancellable operating leases for office space in effect at december 31 , 2012 are $ 12.6 million in 2013 , $ 10.7 million in 2014 , $ 10.0 million in 2015 , $ 8.2 million in 2016 and $ 7.4 million in 2017 .
17 .
royalty agreements the company has entered into various renewable , nonexclusive license agreements under which the company has been granted access to the licensor 2019s technology and the right to sell the technology in the company 2019s product line .
royalties are payable to developers of the software at various rates and amounts , which generally are based upon unit sales or revenue .
royalty fees are reported in cost of goods sold and were $ 9.3 million , $ 8.4 million and $ 6.8 million for the years ended december 31 , 2012 , 2011 and 2010 , respectively .
18 .
geographic information revenue to external customers is attributed to individual countries based upon the location of the customer .
revenue by geographic area is as follows: .
post_text: table of contents .
label: 0.33262
qa: answer: 33.26%
ann_table_rows: 7
steps: op: divide1-1
arg1: 265436
arg2: 798018
res: 33.26%
program: divide(265436, 798018)
gold_inds: table_7: ( in thousands ) the total revenue of year ended december 31 , 2012 is $ 798018 ; the total revenue of year ended december 31 , 2011 is $ 691449 ; the total revenue of year ended december 31 , 2010 is $ 580236 ;
table_1: ( in thousands ) the united states of year ended december 31 , 2012 is $ 265436 ; the united states of year ended december 31 , 2011 is $ 215924 ; the united states of year ended december 31 , 2010 is $ 188649 ;
exe_ans: 0.33262
tfidftopn: text_22: revenue by geographic area is as follows: .
program_re: divide(265436, 798018)
model_input: table_1
( in thousands ) the united states of year ended december 31 , 2012 is $ 265436 ; the united states of year ended december 31 , 2011 is $ 215924 ; the united states of year ended december 31 , 2010 is $ 188649 ;
table_2
( in thousands ) the japan of year ended december 31 , 2012 is 122437 ; the japan of year ended december 31 , 2011 is 112171 ; the japan of year ended december 31 , 2010 is 95498 ;
table_7
( in thousands ) the total revenue of year ended december 31 , 2012 is $ 798018 ; the total revenue of year ended december 31 , 2011 is $ 691449 ; the total revenue of year ended december 31 , 2010 is $ 580236 ;