{"pre_text": ["brokered home equity lines of credit ) .", "as part of our overall risk analysis and monitoring , we segment the home equity portfolio based upon the loan delinquency , modification status and bankruptcy status , as well as the delinquency , modification status and bankruptcy status of any mortgage loan with the same borrower ( regardless of whether it is a first lien senior to our second lien ) .", "in establishing our alll for non-impaired loans , we utilize a delinquency roll-rate methodology for pools of loans .", "the roll-rate methodology estimates transition/roll of loan balances from one delinquency state to the next delinquency state and ultimately to charge-off .", "the roll through to charge-off is based on our actual loss experience for each type of pool .", "each of our home equity pools contains both first and second liens .", "our experience has been that the ratio of first to second lien loans has been consistent over time and the charge-off amounts for the pools , used to establish our allowance , include losses on both first and second lien loans .", "generally , our variable-rate home equity lines of credit have either a seven or ten year draw period , followed by a 20-year amortization term .", "during the draw period , we have home equity lines of credit where borrowers pay either interest only or principal and interest .", "we view home equity lines of credit where borrowers are paying principal and interest under the draw period as less risky than those where the borrowers are paying interest only , as these borrowers have a demonstrated ability to make some level of principal and interest payments .", "the risk associated with the borrower 2019s ability to satisfy the loan terms upon the draw period ending is considered in establishing our alll .", "based upon outstanding balances at december 31 , 2016 , the following table presents the periods when home equity lines of credit draw periods are scheduled to end .", "table 18 : home equity lines of credit 2013 draw period end in millions interest only product principal and interest product ."], "post_text": ["( a ) includes all home equity lines of credit that mature in 2017 or later , including those with borrowers where we have terminated borrowing privileges .", "( b ) includes home equity lines of credit with balloon payments , including those where we have terminated borrowing privileges , of $ 35 million , $ 27 million , $ 20 million , $ 71 million and $ 416 million with draw periods scheduled to end in 2017 , 2018 , 2019 , 2020 and 2021 and thereafter , respectively .", "based upon outstanding balances , and excluding purchased impaired loans , at december 31 , 2016 , for home equity lines of credit for which the borrower can no longer draw ( e.g. , draw period has ended or borrowing privileges have been terminated ) , approximately 3% ( 3 % ) were 30-89 days past due and approximately 6% ( 6 % ) were 90 days or more past due , which are accounted for as nonperforming .", "generally , when a borrower becomes 60 days past due , we terminate borrowing privileges and those privileges are not subsequently reinstated .", "at that point , we continue our collection/recovery processes , which may include loan modification resulting in a loan that is classified as a tdr .", "auto loan portfolio the auto loan portfolio totaled $ 12.4 billion as of december 31 , 2016 , or 6% ( 6 % ) of our total loan portfolio .", "of that total , $ 10.8 billion resides in the indirect auto portfolio , $ 1.3 billion in the direct auto portfolio , and $ .3 billion in acquired or securitized portfolios , which has been declining as no pools have been recently acquired .", "indirect auto loan applications are generated from franchised automobile dealers .", "this business is strategically aligned with our core retail business .", "we have elected not to pursue non-prime auto lending as evidenced by an average new loan origination fico score during 2016 of 760 for indirect auto loans and 775 for direct auto loans .", "as of december 31 , 2016 , .4% ( .4 % ) of our auto loan portfolio was nonperforming and .5% ( .5 % ) of the portfolio was accruing past due .", "we offer both new and used automobile financing to customers through our various channels .", "the portfolio was composed of 57% ( 57 % ) new vehicle loans and 43% ( 43 % ) used vehicle loans at december 31 , 2016 .", "the auto loan portfolio 2019s performance is measured monthly , including updated collateral values that are obtained monthly and updated fico scores that are obtained at least quarterly .", "for internal reporting and risk management , we analyze the portfolio by product channel and product type , and regularly evaluate default and delinquency experience .", "as part of our overall risk analysis and monitoring , we segment the portfolio by loan structure , collateral attributes , and credit metrics which include fico score , loan-to-value and term .", "energy related loan portfolio our portfolio of loans outstanding in the oil and gas industry totaled $ 2.4 billion as of december 31 , 2016 , or 1% ( 1 % ) of our total loan portfolio and 2% ( 2 % ) of our total commercial lending portfolio .", "this portfolio comprised approximately $ 1.0 billion in the midstream and downstream sectors , $ .8 billion to oil services companies and $ .6 billion to upstream sectors .", "of the oil services portfolio , approximately $ .2 billion is not asset- based or investment grade .", "nonperforming loans in the oil and gas sector as of december 31 , 2016 totaled $ 184 million , or 8% ( 8 % ) of total nonperforming assets .", "our portfolio of loans outstanding in the coal industry totaled $ .4 billion as of december 31 , 2016 , or less than 1% ( 1 % ) of both our total loan portfolio and our total commercial lending portfolio .", "nonperforming loans in the coal industry as of december 31 , 2016 totaled $ 61 million , or 3% ( 3 % ) of total nonperforming assets .", "the pnc financial services group , inc .", "2013 form 10-k 57 ."], "table": [["in millions", "interest onlyproduct", "principal andinterest product"], ["2017", "$ 1657", "$ 434"], ["2018", "796", "636"], ["2019", "546", "483"], ["2020", "442", "434"], ["2021 and thereafter", "2960", "6438"], ["total ( a ) ( b )", "$ 6401", "$ 8425"]], "table_ori": [["In millions", "Interest OnlyProduct", "Principal andInterest Product"], ["2017", "$1,657", "$434"], ["2018", "796", "636"], ["2019", "546", "483"], ["2020", "442", "434"], ["2021 and thereafter", "2,960", "6,438"], ["Total (a)(b)", "$6,401", "$8,425"]]}

Question: was the interest only product balance for the 2017 draw period greater than the 2018 draw period?\\n\\n
Evidence:
table_1: in millions the 2017 of interest onlyproduct is $ 1657 ; the 2017 of principal andinterest product is $ 434 ;
table_2: in millions the 2018 of interest onlyproduct is 796 ; the 2018 of principal andinterest product is 636 ;
Program: greater(1657, 796)
Answer:
str_answer: yes
exe_answer: yes