{"pre_text": ["operating income ( loss ) by segment is summarized below: ."], "post_text": ["the increase in total operating income was driven by the following : 2022 operating income in our north america operating segment decreased $ 52.5 million to $ 408.4 million in 2016 from $ 461.0 million in 2015 primarily due to decreases in gross margin discussed above in the consolidated results of operations and $ 17.0 million in expenses related to the liquidation of the sports authority , comprised of $ 15.2 million in bad debt expense and $ 1.8 million of in-store fixture impairment .", "in addition , this decrease reflects the movement of $ 11.1 million in expenses resulting from a strategic shift in headcount supporting our global business from our connected fitness operating segment to north america .", "this decrease is partially offset by the increases in revenue discussed above in the consolidated results of operations .", "2022 operating income in our emea operating segment increased $ 8.3 million to $ 11.4 million in 2016 from $ 3.1 million in 2015 primarily due to sales growth discussed above and reductions in incentive compensation .", "this increase was offset by investments in sports marketing and infrastructure for future growth .", "2022 operating income in our asia-pacific operating segment increased $ 31.9 million to $ 68.3 million in 2016 from $ 36.4 million in 2015 primarily due to sales growth discussed above and reductions in incentive compensation .", "this increase was offset by investments in our direct-to-consumer business and entry into new territories .", "2022 operating loss in our latin america operating segment increased $ 3.3 million to $ 33.9 million in 2016 from $ 30.6 million in 2015 primarily due to increased investments to support growth in the region and the economic challenges in brazil during the period .", "this increase in operating loss was offset by sales growth discussed above and reductions in incentive compensation .", "2022 operating loss in our connected fitness segment decreased $ 24.5 million to $ 36.8 million in 2016 from $ 61.3 million in 2015 primarily driven by sales growth discussed above .", "seasonality historically , we have recognized a majority of our net revenues and a significant portion of our income from operations in the last two quarters of the year , driven primarily by increased sales volume of our products during the fall selling season , including our higher priced cold weather products , along with a larger proportion of higher margin direct to consumer sales .", "the level of our working capital generally reflects the seasonality and growth in our business .", "we generally expect inventory , accounts payable and certain accrued expenses to be higher in the second and third quarters in preparation for the fall selling season. ."], "table": [["( in thousands )", "year ended december 31 , 2016", "year ended december 31 , 2015", "year ended december 31 , $ change", "year ended december 31 , % (  % ) change"], ["north america", "$ 408424", "$ 460961", "$ -52537 ( 52537 )", "( 11.4 ) % (  % )"], ["emea", "11420", "3122", "8298", "265.8"], ["asia-pacific", "68338", "36358", "31980", "88.0"], ["latin america", "-33891 ( 33891 )", "-30593 ( 30593 )", "-3298 ( 3298 )", "10.8"], ["connected fitness", "-36820 ( 36820 )", "-61301 ( 61301 )", "24481", "39.9"], ["total operating income", "$ 417471", "$ 408547", "$ 8924", "2.2% ( 2.2 % )"]], "table_ori": [["", "Year Ended December 31,"], ["(In thousands)", "2016", "2015", "$ Change", "% Change"], ["North America", "$408,424", "$460,961", "$(52,537)", "(11.4)%"], ["EMEA", "11,420", "3,122", "8,298", "265.8"], ["Asia-Pacific", "68,338", "36,358", "31,980", "88.0"], ["Latin America", "(33,891)", "(30,593)", "(3,298)", "10.8"], ["Connected Fitness", "(36,820)", "(61,301)", "24,481", "39.9"], ["Total operating income", "$417,471", "$408,547", "$8,924", "2.2%"]]}

Question: what percentage of operating income was the asia-pacific segment in 2016?
Evidence:
table_3: ( in thousands ) the asia-pacific of year ended december 31 , 2016 is 68338 ; the asia-pacific of year ended december 31 , 2015 is 36358 ; the asia-pacific of year ended december 31 , $ change is 31980 ; the asia-pacific of year ended december 31 , % ( % ) change is 88.0 ;
table_6: ( in thousands ) the total operating income of year ended december 31 , 2016 is $ 417471 ; the total operating income of year ended december 31 , 2015 is $ 408547 ; the total operating income of year ended december 31 , $ change is $ 8924 ; the total operating income of year ended december 31 , % ( % ) change is 2.2% ( 2.2 % ) ;
Program: divide(68338, 417471)
Answer:
str_answer: 16%
exe_answer: 0.1637