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 Series Title: Real estate loans: Commercial real estate loans: Secured by multifamily properties, large domestically chartered commercial banks, not seasonally adjusted; Millions of Dollars; Weekly: Percentage change from 52 weeks ago
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2016 01 06 4416.266867615390900
 2016 01 13 6116·927826327889200
 2016 01 20 6214.061967106182700
 2016 01 27 3216·797218376982600
 2016 02 03 7817·185555914124900
 2016 02 10 1117·334947035242700
 2016 02 17 4417·543481566689100
 2016 02 24 1717.304854947336100
 2016 03 02 5414·356026515879300
 2016 03 09 3513·873899538175800
 2016 03 16 113·745292957571900
 2016 03 23 7513.255991493306400
 2016 03 30 2112·457253328351300
 2016 04 06 1513.194281062984600
 2016 04 13 4712.755436706688300
 2016 04 20 5213.234706980458200
 2016 04 27 5613.426889938467400
 2016 05 04 5513.519678908187200
 2016 05 11 2013·465570922313300
 2016 05 18 1513·942188012527600
 2016 05 25 5714·456420691138500
 2016 06 01 9014·561466918119300
 2016 06 08 8214.808166006648400
 2016 06 15 5914.743957638738700
 2016 06 22 5214·161435819003800
 2016 06 29 7413.000667073982100
 2016 07 06 2213·624335156355100
 2016 07 13 414·560056721696000
 2016 07 20 9014.066910155943500
 2016 07 27 9014·001589633913600
 2016 08 03 5214.228581554615900
 2016 08 10 9313·034345522052100
 2016 08 17 4713.724078887864800
 2016 08 24 4413·865617568034700
 2016 08 31 1112.613769189971000
 2016 09 07 9512·614320303217900
 2016 09 14 2312·933617279367700
 2016 09 21 6912·616730932075900
 2016 09 28 6012.322182319000200
 2016 10 05 612·566716405662500
 2016 10 12 4312·952801054230500
 2016 10 19 1912.940147183175200
 2016 10 26 8912·624458933253300
 2016 11 02 4311·770127316012800
 2016 11 09 5911·747175694689000
 2016 11 16 7811.851968843339000
 2016 11 23 910.643439421145800
 2016 11 30 5010.244341368830000
 2016 12 07 449.943289624333370
 2016 12 14 529.670354377738180
 2016 12 21 608.646078794831440
 2016 12 28 989.604878780657860
 2017 01 04  09·366006025662000
 2017 01 11  739.026429087206210
 2017 01 18  311·108151914618300
 2017 01 25  808·645849628236780
 2017 02 01  528·491753149228100
 2017 02 08  968.445659270876170
 2017 02 15  278.173100581139690
 2017 02 22  167·915788805434220
 2017 03 01  519.725667743330590
 2017 03 08  59·767858803757610
 2017 03 15  449.802118068964630
 2017 03 22  4910.232416682515300
 2017 03 29  7110·144742597341100
 2017 04 05  59·879115103444990
 2017 04 12  929·997425993323520
 2017 04 19  499.541030576785040
 2017 04 26  139·548747269129950
 2017 05 03  289.354850449292940
 2017 05 10  358·931072924954430
 2017 05 17  98.592807239767610
 2017 05 24  38·607599515024940
 2017 05 31  308·125269418431010
 2017 06 07  608.285776075328210
 2017 06 14  497·611600253730330
 2017 06 21  927.746947870157240
 2017 06 28  948·162731796620170
 2017 07 05  808·681914639145760
 2017 07 12  147.940817126479540
 2017 07 19  538.050591974396810
 2017 07 26  267.628280252245050
 2017 08 02  336·828040066798270
 2017 08 09  717·362382919130980
 2017 08 16  885.845507046208250
 2017 08 23  585·547316616740970
 2017 08 30  825·102800643784460
 2017 09 06  165.555350265490320
 2017 09 13  235.263427094584630
 2017 09 20  465·467985560610210
 2017 09 27  144.362538842162530
 2017 10 04  673.752259523473020
 2017 10 11  63·701881294886600
 2017 10 18  723·111510751368970
 2017 10 25  433.373807445930630
 2017 11 01  693.134473878396540
 2017 11 08  153.169596258565570
 2017 11 15  422.334926526556870
 2017 11 22  72.354342480196240
 2017 11 29  912·240906920041200
 2017 12 06  493.061777303114190
 2017 12 13  892·731010945282450
 2017 12 20  682.414353143447960
 2017 12 27  272.530067565094530
 2018 01 03 341·642620712012580
 2018 01 10 681·757093724392540
 2018 01 17 142·124371151727970
 2018 01 24 952·066296621699040
 2018 01 31 201.286689051735320
 2018 02 07 621.266330552754600
 2018 02 14 591·542430410135930
 2018 02 21 411·505238922669540
 2018 02 28 831·585918898128140
 2018 03 07 771.663995605532230
 2018 03 14 391.640981860105370
 2018 03 21 331·608307611670830
 2018 03 28 221·809518882490570
 2018 04 04 451·525008044667460
 2018 04 11 191.622756113499470
 2018 04 18 662.074957119099420
 2018 04 25 642.155329980839090
 2018 05 02 221.894691910897590
 2018 05 09 851.870735593950590
 2018 05 16 582·021378046575010
 2018 05 23 581.487955832623240
 2018 05 30 901·048980090034330
 2018 06 06 511.346212837981020
 2018 06 13 541·700710665165880
 2018 06 20 801·553289776652100
 2018 06 27 562·022172465578720
 2018 07 04 551·011302669655060
 2018 07 11 230.907776196075138
 2018 07 18 310.785679125504979
 2018 07 25 521·143138823108260
 2018 08 01 590.788657118878033
 2018 08 08 590·768748798496266
 2018 08 15 361·877888493917950
 2018 08 22 332.075250978847980
 2018 08 29 522·479675293802860
 2018 09 05 811·896759526842500
 2018 09 12 451.909032964331740
 2018 09 19 822·492800993409380
 2018 09 26 463.891406029503330
 2018 10 03 334.671654889184600
 2018 10 10 334.854852526617350
 2018 10 17 55.433278335544030
 2018 10 24 795.877927423795270


 2018 10 31 855.064249550310620
 2018 11 07 25·737232966233960
 2018 11 14 345.984799050228080
 2018 11 21 146.052955687264560
 2018 11 28 315.654431559591110
 2018 12 05 765·202767293612950
 2018 12 12 255·846088908446270
 2018 12 19 405·636340496969190
 2018 12 26 895.150954590466020
 2019 01 02  54·430783929018540
 2019 01 09  614.660140651360420
 2019 01 16  684·248774945677150
 2019 01 23  44.356256351644320
 2019 01 30  664.363886575163870
 2019 02 06  485.286941131572110
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 Series Title: Real estate loans: Commercial real estate loans: Secured by multifamily properties, large domestically chartered commercial banks, not seasonally adjusted; Millions of Dollars; Weekly: Percentage change from 52 weeks ago
   For this series:   Numerical Data  |  GIF Chart
   Transform this series  |  Display series in COPY/PASTE format

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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