{"pre_text": ["equity equity at december 31 , 2014 was $ 6.6 billion , a decrease of $ 1.6 billion from december 31 , 2013 .", "the decrease resulted primarily due to share repurchases of $ 2.3 billion , $ 273 million of dividends to shareholders , and an increase in accumulated other comprehensive loss of $ 760 million , partially offset by net income of $ 1.4 billion .", "the $ 760 million increase in accumulated other comprehensive loss from december 31 , 2013 , primarily reflects the following : 2022 negative net foreign currency translation adjustments of $ 504 million , which are attributable to the strengthening of the u.s .", "dollar against certain foreign currencies , 2022 an increase of $ 260 million in net post-retirement benefit obligations , 2022 net derivative gains of $ 5 million , and 2022 net investment losses of $ 1 million .", "review by segment general we serve clients through the following segments : 2022 risk solutions acts as an advisor and insurance and reinsurance broker , helping clients manage their risks , via consultation , as well as negotiation and placement of insurance risk with insurance carriers through our global distribution network .", "2022 hr solutions partners with organizations to solve their most complex benefits , talent and related financial challenges , and improve business performance by designing , implementing , communicating and administering a wide range of human capital , retirement , investment management , health care , compensation and talent management strategies .", "risk solutions ."], "post_text": ["the demand for property and casualty insurance generally rises as the overall level of economic activity increases and generally falls as such activity decreases , affecting both the commissions and fees generated by our brokerage business .", "the economic activity that impacts property and casualty insurance is described as exposure units , and is most closely correlated with employment levels , corporate revenue and asset values .", "during 2014 , pricing was flat on average globally , and we would still consider this to be a \"soft market.\" in a soft market , premium rates flatten or decrease , along with commission revenues , due to increased competition for market share among insurance carriers or increased underwriting capacity .", "changes in premiums have a direct and potentially material impact on the insurance brokerage industry , as commission revenues are generally based on a percentage of the premiums paid by insureds .", "additionally , continuing through 2014 , we faced difficult conditions as a result of continued weakness in the global economy , the repricing of credit risk and the deterioration of the financial markets .", "weak economic conditions in many markets around the globe have reduced our customers' demand for our retail brokerage and reinsurance brokerage products , which have had a negative impact on our operational results .", "risk solutions generated approximately 65% ( 65 % ) of our consolidated total revenues in 2014 .", "revenues are generated primarily through fees paid by clients , commissions and fees paid by insurance and reinsurance companies , and investment income on funds held on behalf of clients .", "our revenues vary from quarter to quarter throughout the year as a result of the timing of our clients' policy renewals , the net effect of new and lost business , the timing of services provided to our clients , and the income we earn on investments , which is heavily influenced by short-term interest rates .", "we operate in a highly competitive industry and compete with many retail insurance brokerage and agency firms , as well as with individual brokers , agents , and direct writers of insurance coverage .", "specifically , we address the highly specialized ."], "table": [["years ended december 31 ( millions except percentage data )", "2014", "2013", "2012"], ["revenue", "$ 7834", "$ 7789", "$ 7632"], ["operating income", "1648", "1540", "1493"], ["operating margin", "21.0% ( 21.0 % )", "19.8% ( 19.8 % )", "19.6% ( 19.6 % )"]], "table_ori": [["Years ended December 31(millions, except percentage data)", "2014", "2013", "2012"], ["Revenue", "$7,834", "$7,789", "$7,632"], ["Operating income", "1,648", "1,540", "1,493"], ["Operating margin", "21.0%", "19.8%", "19.6%"]]}

Question: what is the fluctuation between the lowest and average operating margin?
Evidence:
table_3: years ended december 31 ( millions except percentage data ) the operating margin of 2014 is 21.0% ( 21.0 % ) ; the operating margin of 2013 is 19.8% ( 19.8 % ) ; the operating margin of 2012 is 19.6% ( 19.6 % ) ;
Program: table_average(operating margin, none), table_min(operating margin, none), subtract(#0, #1)
Answer:
str_answer: 0.53%
exe_answer: 0.00533