{"pre_text": ["management 2019s discussion and analysis net interest income 2013 versus 2012 .", "net interest income on the consolidated statements of earnings was $ 3.39 billion for 2013 , 13% ( 13 % ) lower than 2012 .", "the decrease compared with 2012 was primarily due to lower average yields on financial instruments owned , at fair value , partially offset by lower interest expense on financial instruments sold , but not yet purchased , at fair value and collateralized financings .", "2012 versus 2011 .", "net interest income on the consolidated statements of earnings was $ 3.88 billion for 2012 , 25% ( 25 % ) lower than 2011 .", "the decrease compared with 2011 was primarily due to lower average yields on financial instruments owned , at fair value and collateralized agreements .", "see 201cstatistical disclosures 2014 distribution of assets , liabilities and shareholders 2019 equity 201d for further information about our sources of net interest income .", "operating expenses our operating expenses are primarily influenced by compensation , headcount and levels of business activity .", "compensation and benefits includes salaries , discretionary compensation , amortization of equity awards and other items such as benefits .", "discretionary compensation is significantly impacted by , among other factors , the level of net revenues , overall financial performance , prevailing labor markets , business mix , the structure of our share-based compensation programs and the external environment .", "the table below presents our operating expenses and total staff ( which includes employees , consultants and temporary staff ) . ."], "post_text": ["1 .", "related revenues are included in 201cmarket making 201d in the consolidated statements of earnings .", "goldman sachs 2013 annual report 45 ."], "table": [["$ in millions", "year ended december 2013", "year ended december 2012", "year ended december 2011"], ["compensation and benefits", "$ 12613", "$ 12944", "$ 12223"], ["brokerage clearing exchange anddistribution fees", "2341", "2208", "2463"], ["market development", "541", "509", "640"], ["communications and technology", "776", "782", "828"], ["depreciation and amortization", "1322", "1738", "1865"], ["occupancy", "839", "875", "1030"], ["professional fees", "930", "867", "992"], ["insurance reserves1", "176", "598", "529"], ["other expenses", "2931", "2435", "2072"], ["total non-compensation expenses", "9856", "10012", "10419"], ["total operating expenses", "$ 22469", "$ 22956", "$ 22642"], ["total staff at period-end", "32900", "32400", "33300"]], "table_ori": [["", "Year Ended December"], ["<i>$ in millions</i>", "2013", "2012", "2011"], ["Compensation and benefits", "$12,613", "$12,944", "$12,223"], ["Brokerage, clearing, exchange anddistribution fees", "2,341", "2,208", "2,463"], ["Market development", "541", "509", "640"], ["Communications and technology", "776", "782", "828"], ["Depreciation and amortization", "1,322", "1,738", "1,865"], ["Occupancy", "839", "875", "1,030"], ["Professional fees", "930", "867", "992"], ["Insurance reserves<sup>1</sup>", "176", "598", "529"], ["Other expenses", "2,931", "2,435", "2,072"], ["Total non-compensation expenses", "9,856", "10,012", "10,419"], ["Total operating expenses", "$22,469", "$22,956", "$22,642"], ["Total staff at period-end", "32,900", "32,400", "33,300"]]}

Question: what is the percentage change in staff number in 2013?
Evidence:
table_12: $ in millions the total staff at period-end of year ended december 2013 is 32900 ; the total staff at period-end of year ended december 2012 is 32400 ; the total staff at period-end of year ended december 2011 is 33300 ;
Program: subtract(32900, 32400), divide(#0, 32400)
Answer:
str_answer: 1.5%
exe_answer: 0.01543