{"pre_text": ["the increase in property operating expenses from our large market same store group is primarily the result of increases in real estate taxes of $ 3.2 million , personnel expenses of $ 1.9 million , water expenses of approximately $ 1.0 million , cable expenses of $ 0.5 million , and waste removal expenses of $ 0.2 million .", "the increase in property operating expenses from our secondary market same store group is primarily a result of increases in other operating expenses of $ 1.5 million , real estate taxes of $ 1.1 million , and personnel expenses of $ 1.2 million .", "the decrease in property operating expenses from our non-same store and other group is primarily the result of decreases in personnel expenses of $ 2.4 million and utility expenses of $ 1.7 million .", "depreciation and amortization the following table shows our depreciation and amortization expense by segment for the years ended december 31 , 2015 and december 31 , 2014 ( dollars in thousands ) : year ended december 31 , 2015 year ended december 31 , 2014 increase percentage increase ."], "post_text": ["the decrease in depreciation and amortization expense is primarily due to a decrease of $ 19.4 million related to the amortization of the fair value of in-place leases and resident relationships acquired as a result of the merger from the year ended december 31 , 2014 to the year ended december 31 , 2015 .", "this decrease was partially offset by an increase in depreciation expense of $ 11.7 million driven by an increase in gross real estate assets from the year ended december 31 , 2014 to the year ended december 31 , 2015 .", "property management expenses property management expenses for the year ended december 31 , 2015 were approximately $ 31.0 million , a decrease of $ 1.1 million from the year ended december 31 , 2014 .", "the majority of the decrease was related to a decrease in state franchise taxes of $ 2.1 million , partially offset by an increase in insurance expense of $ 0.6 million , an increase in payroll expense of $ 0.3 million , and an increase in incentive expense $ 0.3 million .", "general and administrative expenses general and administrative expenses for the year ended december 31 , 2015 were approximately $ 25.7 million , an increase of $ 4.8 million from the year ended december 31 , 2014 .", "the majority of the increase was related to increases in legal fees of $ 2.7 million and stock option expenses of $ 1.6 million .", "merger and integration related expenses there were no merger or integration related expenses for the year ended december 31 , 2015 , as these expenses related primarily to severance , legal , professional , temporary systems , staffing , and facilities costs incurred for the acquisition and integration of colonial .", "for the year ended december 31 , 2014 , merger and integration related expenses were approximately $ 3.2 million and $ 8.4 million , respectively .", "interest expense interest expense for the year ended december 31 , 2015 was approximately $ 122.3 million , a decrease of $ 1.6 million from the year ended december 31 , 2014 .", "the decrease was primarily the result of a decrease in amortization of deferred financing cost from the year ended december 31 , 2014 to the year ended december 31 , 2015 of approximately $ 0.9 million .", "also , the overall debt balance decreased from $ 3.5 billion to $ 3.4 billion , a decrease of $ 85.1 million .", "the average effective interest rate remained at 3.7% ( 3.7 % ) and the average years to rate maturity increased from 4.4 years to 4.8 years .", "job title mid-america apartment 10-k revision 1 serial <12345678> date sunday , march 20 , 2016 job number 304352-1 type page no .", "50 operator abigaels ."], "table": [["", "year ended december 31 2015", "year ended december 31 2014", "increase", "percentage increase"], ["large market same store", "$ 168872", "$ 174957", "$ -6085 ( 6085 )", "( 3.5 ) % (  % )"], ["secondary market same store", "85008", "86058", "-1050 ( 1050 )", "( 1.2 ) % (  % )"], ["same store portfolio", "253880", "261015", "-7135 ( 7135 )", "( 2.7 ) % (  % )"], ["non-same store and other", "40640", "40797", "-157 ( 157 )", "( 0.4 ) % (  % )"], ["total", "$ 294520", "$ 301812", "$ -7292 ( 7292 )", "( 2.4 ) % (  % )"]], "table_ori": [["", "Year ended December 31, 2015", "Year ended December 31, 2014", "Increase", "Percentage Increase"], ["Large Market Same Store", "$168,872", "$174,957", "$(6,085)", "(3.5)%"], ["Secondary Market Same Store", "85,008", "86,058", "(1,050)", "(1.2)%"], ["Same Store Portfolio", "253,880", "261,015", "(7,135)", "(2.7)%"], ["Non-Same Store and Other", "40,640", "40,797", "(157)", "(0.4)%"], ["Total", "$294,520", "$301,812", "$(7,292)", "(2.4)%"]]}

Question: considering the year 2015 , what is the impact of the large market among the same store portfolio?
Evidence:
table_1: the large market same store of year ended december 31 2015 is $ 168872 ; the large market same store of year ended december 31 2014 is $ 174957 ; the large market same store of increase is $ -6085 ( 6085 ) ; the large market same store of percentage increase is ( 3.5 ) % ( % ) ;
table_3: the same store portfolio of year ended december 31 2015 is 253880 ; the same store portfolio of year ended december 31 2014 is 261015 ; the same store portfolio of increase is -7135 ( 7135 ) ; the same store portfolio of percentage increase is ( 2.7 ) % ( % ) ;
Program: divide(168872, 253880)
Answer:
str_answer: 66.52%
exe_answer: 0.66516