our custom data center , or c1 , customers typically are large enterprises with significant it expertise and specific it requirements , including financial institutions , big four accounting firms and the world 's largest global internet companies . our colocation , or c2 , customers consist of a wide range of organizations , including 67 major healthcare , telecommunications and software and web-based companies . our c3 cloud customers include both large organizations and smbs seeking to reduce their capital expenditures and outsource their it infrastructure on a flexible basis . examples of current c3 cloud customers include a global financial processing company , a u.s. government agency and an educational software provider . as a result of our diverse customer base , customer concentration in our portfolio is limited . as of december 31 , 2013 , only two of our more than 880 customers individually accounted for more than 3 % of our mrr , with no single customer accounting for more than 8 % of our mrr . in addition , approximately 40 % of our mrr was attributable to customers who use more than one of our 3cs products . our portfolio we operate 10 data centers located in seven states , containing an aggregate of approximately 3.8 million gross square feet of space ( approximately 92 % of which is wholly owned by us ) , including approximately 1.8 million basis-of-design raised floor square feet , which represents the total data center raised floor potential of our existing data center facilities . this represents the maximum amount of space in our existing buildings that could be leased following full build-out , depending on the configuration that we deploy . as of december 31 , 2013 , this space included approximately 690,000 raised floor operating net rentable square feet , or nrsf , plus approximately 1.1 million square feet of additional raised floor in our development pipeline , of which approximately 188.000 nrsf is expected to become operational by december 31 , 2014. our facilities collectively have access to over 500 mw of gross utility power with 390 mw of available utility power . we believe such access to power gives us a competitive advantage in redeveloping data center space , since access to power is usually the most limiting and expensive component in data center redevelopment . key operating metrics the following sets forth definitions for our key operating metrics . these metrics may differ from similar definitions used by other companies . monthly recurring revenue ( mrr ) . we calculate mrr as monthly contractual revenue under signed leases as of a particular date , which includes revenue from our c1 , c2 and c3 rental and cloud and managed services activities , but excludes customer recoveries , deferred set-up fees , variable related revenues , non-cash revenues and other one-time revenues . mrr does not include the impact from booked-not-billed leases as of a particular date , unless otherwise specifically noted . annualized rent . we define annualized rent as mrr multiplied by 12. rental churn . we define rental churn as the mrr impact from a customer completely departing our platform in a given period compared to the total mrr at the beginning of the period . leasable raised floor . we define leasable raised floor as the amount of raised floor square footage that we have leased plus the available capacity of raised floor square footage that is in a leasable format as of a particular date and according to a particular product configuration . the amount of our leasable raised floor may change even without completion of new redevelopment projects due to changes in our configuration of c1 , c2 and c3 product space . percentage ( % ) leased raised floor . we define percentage leased raised floor as the square footage that is subject to a signed lease for which billing has commenced as of a particular date compared to leasable raised floor as of that date , expressed as a percentage . booked-not-billed . we define booked-not -billed as our customer leases that have been signed , but for which lease payments have not yet commenced . 68 factors that may influence future results of operations and cash flows revenue . our revenue growth will depend on our ability to maintain the historical occupancy rates of leasable raised floor , lease currently available space , lease new capacity that becomes available as a result of our development and redevelopment activities , attract new customers and continue to meet the ongoing technological requirements of our customers . as of december 31 , 2013 , we had in place customer leases generating revenue for approximately 92 % of our leasable raised floor . our ability to grow revenue also will be affected by our ability to maintain or increase rental , cloud and managed services rates at our properties . future economic downturns , regional downturns or downturns in the technology industry could impair our ability to attract new customers or renew existing customers ' leases on favorable terms , or at all , and could adversely affect our customers ' ability to meet their obligations to us . negative trends in one or more of these factors could adversely affect our revenue in future periods , which would impact our results of operations and cash flows . we also at times may elect to reclaim space from customers in a negotiated transaction where we believe that we can redevelop and or re-lease that space at higher rates , which may cause a decrease in revenue until the space is re-leased . leasing arrangements . as of december 31 , 2013 , 20 % of our mrr came from customers which individually occupied more than 6,600 square feet of space and which had metered power . story_separator_special_tag for the years ended december 31 , 2013 and 2012 we incurred $ 0.1 million and $ 0.9 million , respectively , in costs related to the examination of proposed acquisitions . acquisition-related costs are expensed in the periods in which the costs are incurred and the services are received . interest expense . interest expense for the year ended december 31 , 2013 was $ 18.7 million compared to $ 25.1 million for the year ended december 31 , 2012. the decrease of $ 6.4 million , or 26 % , was due to a reduction in the weighted average interest rate , and higher capitalized interest during the period , partially offset by a $ 37.2 million increase in our average debt balance . during the second quarter of 2013 , we replaced our $ 440 million secured credit facility with a $ 575 million unsecured credit facility . in addition the interest rate spread over libor on the unsecured credit facility was 165 basis points lower than the secured credit facility . the average debt balance for the year ended december 31 , 2013 was $ 510.6 million , with a weighted average interest rate , including the effect of interest rate swaps and amortization of deferred financing costs , of 4.48 % . this compared to an average debt balance of $ 473.4 million , with a weighted average interest rate , including the effect of interest rate swaps and amortization of deferred financing costs , of 5.84 % . interest expense was reduced by $ 0.3 million and $ 0.3 million , respectively , during the years ended december 31 , 2013 and december 31 , 2012 , as a result of non-cash mark-to-market adjustments associated with the derivative liability reported on our balance sheet . interest capitalized in connection with our redevelopment activities during the years ended december 31 , 2013 and december 31 , 2012 was $ 4.0 million and $ 2.2 million , respectively . on october 15 , 2013 , we closed our ipo which generated net proceeds of approximately $ 279 million after underwriting discounts and commissions . the proceeds were used to repay amounts borrowed on our $ 350 million unsecured revolving credit facility . other expense/income . other expense for the year ended december 31 , 2013 was $ 3.4 million compared to other expense of $ 1.2 million for the year ended december 31 , 2012. the increase in other expense of $ 2.3 million , was due to higher write-offs of unamortized deferred financing costs in connection with the replacement of our secured credit facility with an unsecured credit facility and an asset securitization which we did not pursue . gain on sale of real estate . in 2012 , we recognized a gain on sale of a vacant data center facility of $ 0.9 million . net income ( loss ) . a summary of the components of the increase in net income of $ 13.6 million for the year ended december 31 , 2013 as compared to the year ended december 31 , 2012 is as follows : $ change ( in millions ) increase in revenues , net of property operating costs , real estate taxes and insurance $ 21.9 increase in general and administrative expense ( 3.2 ) increase in depreciation and amortization ( 12.4 ) decrease in transaction costs 0.8 decrease in restructuring charges 3.3 decrease in interest expense net of interest income 6.4 increase in other expense ( 2.3 ) decrease in gain on sale of real estate ( 0.9 ) increase in net income $ 13.6 75 year ended december 31 , 2012 compared to year ended december 31 , 2011 changes in revenues and expenses for the year ended december 31 , 2012 compared to the year ended december 31 , 2011 are summarized below : replace_table_token_31_th * not applicable for comparison revenues . total revenues for the year ended december 31 , 2012 were $ 145.8 million compared to $ 130.4 million for the year ended december 31 , 2011. the increase of $ 15.4 million , or 12 % , was primarily due to organic growth in our customer base . the increase of $ 19.0 million , or 16 % , in combined rental and cloud and managed services revenues was primarily related to newly leased space as well as increases in rents from previously leased space , net of downgrades at renewal and rental churn , and included the $ 2.7 million negative impact from our reclaiming space in july 2012 from a customer in our atlanta-suwanee data center , as described above . as of december 31 , 2012 , our data centers were 86 % leased based on leasable raised floor of approximately 484,000 square feet , with an average annualized rent of $ 340 per leased raised floor square foot including cloud and managed services revenue , or $ 303 per leased raised floor square foot excluding cloud and managed services revenue . as of december 31 , 2011 , our data centers were 74 % leased based on leasable raised floor of approximately 549,000 square feet , with an average annualized rent of $ 294 per leased raised floor square foot including cloud and managed services revenue , or $ 262 per leased raised floor square foot excluding cloud and managed services revenue . the decrease in leasable raised floor was due to the reclaiming of space from a customer in our atlanta-suwanee data center , as described above , and the consolidation of our former new york 76 facility into our jersey city facility , partially offset by the acquisition of our sacramento data center in december 2012 and the addition of raised floor square footage from our redevelopment activities . the increase in average annualized rent per leased raised floor square foot as of december 31 , 2012 compared to december 31 , 2011 was primarily due to

cash flows replace_table_token_42_th year ended december 31 , 2013 compared to year ended december 31 , 2012 cash flow provided by operating activities was $ 60.1 million for the year ended december 31 , 2013 , compared to $ 35.1 million for the year ended december 31 , 2012. the increased cash flow provided by operating activities of $ 25.0 million was primarily due to an increase in cash operating income of $ 28.9 million , partially offset by a decrease in cash flow associated with net changes in working capital of $ 3.9 million primarily relating to changes in accounts payable , accrued liabilities , accrued interest on member advances , restricted cash and rent and other receivables . 89 cash flow used for investing activities decreased by $ 26.1 million to $ 168.8 million for the year ended december 31 , 2013 , compared to $ 194.9 million for the year ended december 31 , 2012. the decrease was primarily due to lower net cash outflow for the acquisitions of $ 42.1 million , partially offset by an increase in cash paid for capital expenditures primarily related to redevelopment of our atlanta-metro and richmond data centers of $ 14.4 million . these expenditures include capitalized soft costs such as interest , payroll and other costs to redevelop properties , which were , in the aggregate , $ 12.6 million and $ 8.9 million for the year ended december 31 , 2013 and 2012 , respectively . in 2012 , we received $ 1.5 million of proceeds from the sale of our topeka , kansas facility . cash flow provided by financing activities was $ 105.7 million for the year ended december 31 , 2013 , compared to $ 160.7 million for the year ended december 31 , 2012. the decrease was primarily due to a $ 91.9 million of equity financing provided by general atlantic llc in 2012 , partially offset by an increase of $ 37.6 in net borrowings under our former and new credit facilities in 2013 in order to acquire and redevelop our data centers .


 Write a concise suspicious activity report of the following text delimited by triple backquotes. Return your response as a formal report which covers the key points highlighting the location,dates,entity names and account holder information in chronological order of the text.
     ```cash flows replace_table_token_42_th year ended december 31 , 2013 compared to year ended december 31 , 2012 cash flow provided by operating activities was $ 60.1 million for the year ended december 31 , 2013 , compared to $ 35.1 million for the year ended december 31 , 2012. the increased cash flow provided by operating activities of $ 25.0 million was primarily due to an increase in cash operating income of $ 28.9 million , partially offset by a decrease in cash flow associated with net changes in working capital of $ 3.9 million primarily relating to changes in accounts payable , accrued liabilities , accrued interest on member advances , restricted cash and rent and other receivables . 89 cash flow used for investing activities decreased by $ 26.1 million to $ 168.8 million for the year ended december 31 , 2013 , compared to $ 194.9 million for the year ended december 31 , 2012. the decrease was primarily due to lower net cash outflow for the acquisitions of $ 42.1 million , partially offset by an increase in cash paid for capital expenditures primarily related to redevelopment of our atlanta-metro and richmond data centers of $ 14.4 million . these expenditures include capitalized soft costs such as interest , payroll and other costs to redevelop properties , which were , in the aggregate , $ 12.6 million and $ 8.9 million for the year ended december 31 , 2013 and 2012 , respectively . in 2012 , we received $ 1.5 million of proceeds from the sale of our topeka , kansas facility . cash flow provided by financing activities was $ 105.7 million for the year ended december 31 , 2013 , compared to $ 160.7 million for the year ended december 31 , 2012. the decrease was primarily due to a $ 91.9 million of equity financing provided by general atlantic llc in 2012 , partially offset by an increase of $ 37.6 in net borrowings under our former and new credit facilities in 2013 in order to acquire and redevelop our data centers .
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 Suspicious Activity Report : our custom data center , or c1 , customers typically are large enterprises with significant it expertise and specific it requirements , including financial institutions , big four accounting firms and the world 's largest global internet companies . our colocation , or c2 , customers consist of a wide range of organizations , including 67 major healthcare , telecommunications and software and web-based companies . our c3 cloud customers include both large organizations and smbs seeking to reduce their capital expenditures and outsource their it infrastructure on a flexible basis . examples of current c3 cloud customers include a global financial processing company , a u.s. government agency and an educational software provider . as a result of our diverse customer base , customer concentration in our portfolio is limited . as of december 31 , 2013 , only two of our more than 880 customers individually accounted for more than 3 % of our mrr , with no single customer accounting for more than 8 % of our mrr . in addition , approximately 40 % of our mrr was attributable to customers who use more than one of our 3cs products . our portfolio we operate 10 data centers located in seven states , containing an aggregate of approximately 3.8 million gross square feet of space ( approximately 92 % of which is wholly owned by us ) , including approximately 1.8 million basis-of-design raised floor square feet , which represents the total data center raised floor potential of our existing data center facilities . this represents the maximum amount of space in our existing buildings that could be leased following full build-out , depending on the configuration that we deploy . as of december 31 , 2013 , this space included approximately 690,000 raised floor operating net rentable square feet , or nrsf , plus approximately 1.1 million square feet of additional raised floor in our development pipeline , of which approximately 188.000 nrsf is expected to become operational by december 31 , 2014. our facilities collectively have access to over 500 mw of gross utility power with 390 mw of available utility power . we believe such access to power gives us a competitive advantage in redeveloping data center space , since access to power is usually the most limiting and expensive component in data center redevelopment . key operating metrics the following sets forth definitions for our key operating metrics . these metrics may differ from similar definitions used by other companies . monthly recurring revenue ( mrr ) . we calculate mrr as monthly contractual revenue under signed leases as of a particular date , which includes revenue from our c1 , c2 and c3 rental and cloud and managed services activities , but excludes customer recoveries , deferred set-up fees , variable related revenues , non-cash revenues and other one-time revenues . mrr does not include the impact from booked-not-billed leases as of a particular date , unless otherwise specifically noted . annualized rent . we define annualized rent as mrr multiplied by 12. rental churn . we define rental churn as the mrr impact from a customer completely departing our platform in a given period compared to the total mrr at the beginning of the period . leasable raised floor . we define leasable raised floor as the amount of raised floor square footage that we have leased plus the available capacity of raised floor square footage that is in a leasable format as of a particular date and according to a particular product configuration . the amount of our leasable raised floor may change even without completion of new redevelopment projects due to changes in our configuration of c1 , c2 and c3 product space . percentage ( % ) leased raised floor . we define percentage leased raised floor as the square footage that is subject to a signed lease for which billing has commenced as of a particular date compared to leasable raised floor as of that date , expressed as a percentage . booked-not-billed . we define booked-not -billed as our customer leases that have been signed , but for which lease payments have not yet commenced . 68 factors that may influence future results of operations and cash flows revenue . our revenue growth will depend on our ability to maintain the historical occupancy rates of leasable raised floor , lease currently available space , lease new capacity that becomes available as a result of our development and redevelopment activities , attract new customers and continue to meet the ongoing technological requirements of our customers . as of december 31 , 2013 , we had in place customer leases generating revenue for approximately 92 % of our leasable raised floor . our ability to grow revenue also will be affected by our ability to maintain or increase rental , cloud and managed services rates at our properties . future economic downturns , regional downturns or downturns in the technology industry could impair our ability to attract new customers or renew existing customers ' leases on favorable terms , or at all , and could adversely affect our customers ' ability to meet their obligations to us . negative trends in one or more of these factors could adversely affect our revenue in future periods , which would impact our results of operations and cash flows . we also at times may elect to reclaim space from customers in a negotiated transaction where we believe that we can redevelop and or re-lease that space at higher rates , which may cause a decrease in revenue until the space is re-leased . leasing arrangements . as of december 31 , 2013 , 20 % of our mrr came from customers which individually occupied more than 6,600 square feet of space and which had metered power . story_separator_special_tag for the years ended december 31 , 2013 and 2012 we incurred $ 0.1 million and $ 0.9 million , respectively , in costs related to the examination of proposed acquisitions . acquisition-related costs are expensed in the periods in which the costs are incurred and the services are received . interest expense . interest expense for the year ended december 31 , 2013 was $ 18.7 million compared to $ 25.1 million for the year ended december 31 , 2012. the decrease of $ 6.4 million , or 26 % , was due to a reduction in the weighted average interest rate , and higher capitalized interest during the period , partially offset by a $ 37.2 million increase in our average debt balance . during the second quarter of 2013 , we replaced our $ 440 million secured credit facility with a $ 575 million unsecured credit facility . in addition the interest rate spread over libor on the unsecured credit facility was 165 basis points lower than the secured credit facility . the average debt balance for the year ended december 31 , 2013 was $ 510.6 million , with a weighted average interest rate , including the effect of interest rate swaps and amortization of deferred financing costs , of 4.48 % . this compared to an average debt balance of $ 473.4 million , with a weighted average interest rate , including the effect of interest rate swaps and amortization of deferred financing costs , of 5.84 % . interest expense was reduced by $ 0.3 million and $ 0.3 million , respectively , during the years ended december 31 , 2013 and december 31 , 2012 , as a result of non-cash mark-to-market adjustments associated with the derivative liability reported on our balance sheet . interest capitalized in connection with our redevelopment activities during the years ended december 31 , 2013 and december 31 , 2012 was $ 4.0 million and $ 2.2 million , respectively . on october 15 , 2013 , we closed our ipo which generated net proceeds of approximately $ 279 million after underwriting discounts and commissions . the proceeds were used to repay amounts borrowed on our $ 350 million unsecured revolving credit facility . other expense/income . other expense for the year ended december 31 , 2013 was $ 3.4 million compared to other expense of $ 1.2 million for the year ended december 31 , 2012. the increase in other expense of $ 2.3 million , was due to higher write-offs of unamortized deferred financing costs in connection with the replacement of our secured credit facility with an unsecured credit facility and an asset securitization which we did not pursue . gain on sale of real estate . in 2012 , we recognized a gain on sale of a vacant data center facility of $ 0.9 million . net income ( loss ) . a summary of the components of the increase in net income of $ 13.6 million for the year ended december 31 , 2013 as compared to the year ended december 31 , 2012 is as follows : $ change ( in millions ) increase in revenues , net of property operating costs , real estate taxes and insurance $ 21.9 increase in general and administrative expense ( 3.2 ) increase in depreciation and amortization ( 12.4 ) decrease in transaction costs 0.8 decrease in restructuring charges 3.3 decrease in interest expense net of interest income 6.4 increase in other expense ( 2.3 ) decrease in gain on sale of real estate ( 0.9 ) increase in net income $ 13.6 75 year ended december 31 , 2012 compared to year ended december 31 , 2011 changes in revenues and expenses for the year ended december 31 , 2012 compared to the year ended december 31 , 2011 are summarized below : replace_table_token_31_th * not applicable for comparison revenues . total revenues for the year ended december 31 , 2012 were $ 145.8 million compared to $ 130.4 million for the year ended december 31 , 2011. the increase of $ 15.4 million , or 12 % , was primarily due to organic growth in our customer base . the increase of $ 19.0 million , or 16 % , in combined rental and cloud and managed services revenues was primarily related to newly leased space as well as increases in rents from previously leased space , net of downgrades at renewal and rental churn , and included the $ 2.7 million negative impact from our reclaiming space in july 2012 from a customer in our atlanta-suwanee data center , as described above . as of december 31 , 2012 , our data centers were 86 % leased based on leasable raised floor of approximately 484,000 square feet , with an average annualized rent of $ 340 per leased raised floor square foot including cloud and managed services revenue , or $ 303 per leased raised floor square foot excluding cloud and managed services revenue . as of december 31 , 2011 , our data centers were 74 % leased based on leasable raised floor of approximately 549,000 square feet , with an average annualized rent of $ 294 per leased raised floor square foot including cloud and managed services revenue , or $ 262 per leased raised floor square foot excluding cloud and managed services revenue . the decrease in leasable raised floor was due to the reclaiming of space from a customer in our atlanta-suwanee data center , as described above , and the consolidation of our former new york 76 facility into our jersey city facility , partially offset by the acquisition of our sacramento data center in december 2012 and the addition of raised floor square footage from our redevelopment activities . the increase in average annualized rent per leased raised floor square foot as of december 31 , 2012 compared to december 31 , 2011 was primarily due to

