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 billions of dollars                      | end of period 2008   | end of period 2007   | end of period 2006   | end of period 2008.1   | end of period 2007.1   | 2006    |
|:--------------------------------------------|:---------------------|:---------------------|:---------------------|:-----------------------|:-----------------------|:--------|
| on-balance-sheet ( 1 )                      | $ 515.7              | $ 557.8              | $ 478.2              | $ 548.8                | $ 516.4                | $ 446.2 |
| securitized receivables ( all inna cards )  | 105.9                | 108.1                | 99.6                 | 106.9                  | 98.9                   | 96.4    |
| credit card receivables held-for-sale ( 2 ) | 2014                 | 1.0                  | 2014                 | 0.5                    | 3.0                    | 0.3     |
| total managed ( 3 )                         | $ 621.6              | $ 666.9              | $ 577.8              | $ 656.2                | $ 618.3                | $ 542.9 |

Question:
what was the percentage increase in citigroup 2019s allowance for loan losses attributable to the consumer portfolio from 2007 to 2008


pre_text: consumer loan balances , net of unearned income .
post_text: in billions of dollars 2008 2007 2006 2008 2007 2006 on-balance-sheet ( 1 ) $ 515.7 $ 557.8 $ 478.2 $ 548.8 $ 516.4 $ 446.2 securitized receivables ( all in na cards ) 105.9 108.1 99.6 106.9 98.9 96.4 credit card receivables held-for-sale ( 2 ) 2014 1.0 2014 0.5 3.0 0.3 total managed ( 3 ) $ 621.6 $ 666.9 $ 577.8 $ 656.2 $ 618.3 $ 542.9 ( 1 ) total loans and total average loans exclude certain interest and fees on credit cards of approximately $ 3 billion and $ 2 billion , respectively , for 2008 , $ 3 billion and $ 2 billion , respectively , for 2007 , and $ 2 billion and $ 3 billion , respectively , for 2006 , which are included in consumer loans on the consolidated balance sheet .
( 2 ) included in other assets on the consolidated balance sheet .
( 3 ) this table presents loan information on a held basis and shows the impact of securitization to reconcile to a managed basis .
managed-basis reporting is a non-gaap measure .
held-basis reporting is the related gaap measure .
see a discussion of managed-basis reporting on page 57 .
citigroup 2019s total allowance for loans , leases and unfunded lending commitments of $ 30.503 billion is available to absorb probable credit losses inherent in the entire portfolio .
for analytical purposes only , the portion of citigroup 2019s allowance for loan losses attributed to the consumer portfolio was $ 22.366 billion at december 31 , 2008 , $ 12.393 billion at december 31 , 2007 and $ 6.006 billion at december 31 , 2006 .
the increase in the allowance for loan losses from december 31 , 2007 of $ 9.973 billion included net builds of $ 11.034 billion .
the builds consisted of $ 10.785 billion in global cards and consumer banking ( $ 8.216 billion in north america and $ 2.569 billion in regions outside north america ) , and $ 249 million in global wealth management .
the build of $ 8.216 billion in north america primarily reflected an increase in the estimate of losses across all portfolios based on weakening leading credit indicators , including increased delinquencies on first and second mortgages , unsecured personal loans , credit cards and auto loans .
the build also reflected trends in the u.s .
macroeconomic environment , including the housing market downturn , rising unemployment and portfolio growth .
the build of $ 2.569 billion in regions outside north america primarily reflected portfolio growth the impact of recent acquisitions , and credit deterioration in mexico , brazil , the u.k. , spain , greece , india and colombia .
on-balance-sheet consumer loans of $ 515.7 billion decreased $ 42.1 billion , or 8% ( 8 % ) , from december 31 , 2007 , primarily driven by a decrease in residential real estate lending in north america consumer banking as well as the impact of foreign currency translation across global cards , consumer banking and gwm .
citigroup mortgage foreclosure moratoriums on february 13 , 2009 , citigroup announced the initiation of a foreclosure moratorium on all citigroup-owned first mortgage loans that are the principal residence of the owner as well as all loans serviced by the company where the company has reached an understanding with the owner .
the moratorium was effective february 12 , 2009 , and will extend until the earlier of the u.s .
government 2019s loan modification program ( described below ) or march 12 , 2009 .
the company will not initiate or complete any new foreclosures on eligible owners during this time .
the above foreclosure moratorium expands on the company 2019s current foreclosure moratorium pursuant to which citigroup will not initiate or complete a foreclosure sale on any eligible owner where citigroup owns the mortgage and the owner is seeking to stay in the home ( which is the owner 2019s primary residence ) , is working in good faith with the company and has sufficient income for affordable mortgage payments .
since the start of the housing crisis in 2007 , citigroup has worked successfully with approximately 440000 homeowners to avoid potential foreclosure on combined mortgages totaling approximately $ 43 billion .
proposed u.s .
mortgage modification legislation in january 2009 , both the u.s .
senate and house of representatives introduced legislation ( the legislation ) that would give bankruptcy courts the authority to modify mortgage loans originated on borrowers 2019 principal residences in chapter 13 bankruptcy .
support for some version of this legislation has been endorsed by the obama administration .
the modification provisions of the legislation require that the mortgage loan to be modified be originated prior to the effective date of the legislation , and that the debtor receive a notice of foreclosure and attempt to contact the mortgage lender/servicer regarding modification of the loan .
it is difficult to project the impact the legislation may have on the company 2019s consumer secured and unsecured lending portfolio and capital market positions .
any impact will be dependent on numerous factors , including the final form of the legislation , the implementation guidelines for the administration 2019s housing plan , the number of borrowers who file for bankruptcy after enactment of the legislation and the response of the markets and credit rating agencies .
consumer credit outlook consumer credit losses in 2009 are expected to increase from prior-year levels due to the following : 2022 continued deterioration in the u.s .
housing and labor markets and higher levels of bankruptcy filings are expected to drive higher losses in both the secured and unsecured portfolios .
2022 negative economic outlook around the globe , most notably in emea , will continue to lead to higher credit costs in global cards and consumer banking. .
label: 0.8047300000000001
qa: answer: 80.5%
explanation: the citigroup 2019s allowance for loan losses attributable to the consumer portfolio increased by 80.5% from 2007 to 2008
ann_text_rows: 8
steps: op: minus1-1
arg1: 22.366
arg2: 12.393
res: 9.973
op: divide1-2
arg1: #0
arg2: 12.393
res: 80.5%
program: subtract(22.366, 12.393), divide(#0, 12.393)
gold_inds: text_8: for analytical purposes only , the portion of citigroup 2019s allowance for loan losses attributed to the consumer portfolio was $ 22.366 billion at december 31 , 2008 , $ 12.393 billion at december 31 , 2007 and $ 6.006 billion at december 31 , 2006 .
exe_ans: 0.8047300000000001
tfidftopn: text_9: the increase in the allowance for loan losses from december 31 , 2007 of $ 9.973 billion included net builds of $ 11.034 billion .
text_7: citigroup 2019s total allowance for loans , leases and unfunded lending commitments of $ 30.503 billion is available to absorb probable credit losses inherent in the entire portfolio .
program_re: divide(subtract(22.366, 12.393), 12.393)
model_input: text_8
for analytical purposes only , the portion of citigroup 2019s allowance for loan losses attributed to the consumer portfolio was $ 22.366 billion at december 31 , 2008 , $ 12.393 billion at december 31 , 2007 and $ 6.006 billion at december 31 , 2006 .
text_9
the increase in the allowance for loan losses from december 31 , 2007 of $ 9.973 billion included net builds of $ 11.034 billion .
text_15
on-balance-sheet consumer loans of $ 515.7 billion decreased $ 42.1 billion , or 8% ( 8 % ) , from december 31 , 2007 , primarily driven by a decrease in residential real estate lending in north america consumer banking as well as the impact of foreign currency translation across global cards , consumer banking and gwm .