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 Series Title: Consumer loans: Other consumer loans: Automobile loans, large domestically chartered commercial banks, 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 06 347.701758087444350
 2016 01 13 877·625726220174210
 2016 01 20 517·487753505031320
 2016 01 27 717·651173873774850
 2016 02 03 197·724523226113480
 2016 02 10 677·799457925663590
 2016 02 17 897·892156492493910
 2016 02 24 917.982719662903030
 2016 03 02 588.140476360382730
 2016 03 09 328·407607228918160
 2016 03 16 168.068849749231260
 2016 03 23 988.279985030319060
 2016 03 30 18.177234915714870
 2016 04 06 668·201265980941170
 2016 04 13 458.303274267240110
 2016 04 20 348.379974268476430
 2016 04 27 248·365282204292440
 2016 05 04 738.437533860656640
 2016 05 11 128·490130808485890
 2016 05 18 718·515265257150270
 2016 05 25 278.459120323470560
 2016 06 01 868.281038720488330
 2016 06 08 828·309711222634770
 2016 06 15 08·325552401475990
 2016 06 22 358.245193538359510
 2016 06 29 628.519970893979270
 2016 07 06 418.427157989369020
 2016 07 13 438.334949060381010
 2016 07 20 998.686375809727510
 2016 07 27 828.692230698236240
 2016 08 03 48·867502537898560
 2016 08 10 428.844605599461120
 2016 08 17 958.800136740336080
 2016 08 24 538·869503144756320
 2016 08 31 78·780717986186670
 2016 09 07 688·053808594782640
 2016 09 14 218·042225271407170
 2016 09 21 77.839511046197980
 2016 09 28 147·603376072481360
 2016 10 05 137.655829399538170
 2016 10 12 57.587590632143870
 2016 10 19 997·458146352669680
 2016 10 26 127·377189622194070
 2016 11 02 987·359860427992220
 2016 11 09 967·357531343965660
 2016 11 16 127.126021650397000
 2016 11 23 157·055802469135800
 2016 11 30 667·021019763540590
 2016 12 07 706·799650337243920
 2016 12 14 536.794493177419360
 2016 12 21 606·815046874612700
 2016 12 28 876.721966041923850
 2017 01 04  276.791486131146820
 2017 01 11  526.677890281305900
 2017 01 18  106·642095651847610
 2017 01 25  546·440348424203780
 2017 02 01  936·095700134765080
 2017 02 08  685.960294457061320
 2017 02 15  545·812809041751410
 2017 02 22  885·685277897382690
 2017 03 01  175·524002837523830
 2017 03 08  805·245378716393940
 2017 03 15  35.415658049242070
 2017 03 22  315.202942166995350
 2017 03 29  764.937128259862940
 2017 04 05  974.569814912411820
 2017 04 12  964.402277933656060
 2017 04 19  534.276530426354960
 2017 04 26  704·070346508575430
 2017 05 03  493.924821637339250
 2017 05 10  973.759211577732400
 2017 05 17  493·659816630962800
 2017 05 24  233.631762713981510
 2017 05 31  933.233652696470450
 2017 06 07  913.207758391650350
 2017 06 14  373·109949331834260
 2017 06 21  873.033225665151650
 2017 06 28  113·019354775034230
 2017 07 05  932.950296392006790
 2017 07 12  622·999675635813870
 2017 07 19  372·787924961868060
 2017 07 26  102·659292282348650
 2017 08 02  412·509473913571700
 2017 08 09  922·433092995812540
 2017 08 16  732.417057866930810
 2017 08 23  202·388173389517050
 2017 08 30  972·198905992099440
 2017 09 06  232.864554105542850
 2017 09 13  212·781990230367960
 2017 09 20  02.719720536208350
 2017 09 27  492.838700045095010
 2017 10 04  722.743031187630350
 2017 10 11  312.834092522255110
 2017 10 18  302.777523031895730
 2017 10 25  112·710068617050480
 2017 11 01  842·554331888037640
 2017 11 08  782·519717222482940
 2017 11 15  172·489990224769770
 2017 11 22  192·422492080349260
 2017 11 29  292·299344381473610
 2017 12 06  642·413764358512170
 2017 12 13  922.358197012131140
 2017 12 20  372·166243192442140
 2017 12 27  02·160250664970520
 2018 01 03 121.986429752180440
 2018 01 10 132.064384021867370
 2018 01 17 532·096513229518160
 2018 01 24 162.153551435174680
 2018 01 31 742.378557426582880
 2018 02 07 612·331867166487140
 2018 02 14 802.290805891528720
 2018 02 21 222.269707536155450
 2018 02 28 252.292130602138260
 2018 03 07 432·243442449759070
 2018 03 14 552.205417382764920
 2018 03 21 882.249146690034200
 2018 03 28 652·239927041964380
 2018 04 04 902.630327874771620
 2018 04 11 422·568989133906860
 2018 04 18 52.512356863945490
 2018 04 25 202.414331552409510
 2018 05 02 592.390303336232820
 2018 05 09 282·288880401990730
 2018 05 16 962.291515207751330
 2018 05 23 402·096090529858840
 2018 05 30 312·543296294424420
 2018 06 06 272·400958581136510
 2018 06 13 22·241467722978820
 2018 06 20 12·239772317466640
 2018 06 27 141.939706791084440
 2018 07 04 751·901696671027840
 2018 07 11 941·801759770747120
 2018 07 18 31·746258700210660
 2018 07 25 381·741534134391640
 2018 08 01 361.668647963463730
 2018 08 08 651.549652825903250
 2018 08 15 711·378390501680760
 2018 08 22 611·330051254704690
 2018 08 29 991·263168046176260
 2018 09 05 351.225263868911950
 2018 09 12 561·205311214565020
 2018 09 19 641·125573804179900
 2018 09 26 750·913832821006633
 2018 10 03 470.994020709801546
 2018 10 10 330.772437367865964
 2018 10 17 540.710531844076545
 2018 10 24 30·668449434777441
 2018 10 31 720.656634973227077
 2018 11 07 30.590341609633294
 2018 11 14 620.517488910530073
 2018 11 21 450.535334846379554


 2018 11 28 30.396316549174514
 2018 12 05 900·277393901109058
 2018 12 12 450·221899556967897
 2018 12 19 900.393650037005178
 2018 12 26 590·304966307782206
 2019 01 02  460.635368263254987
 2019 01 09  850·585842243999757
 2019 01 16  510.597433997122709
 2019 01 23  840.595557897618804
 2019 01 30  450.731046002464364
 2019 02 06  880·748698758852329
 2019 02 13  640.841412302612077
 2019 02 20  481.035182078560950
 2019 02 27  881.076650825901580
 2019 03 06  861·094521337624840
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 Series Title: Consumer loans: Other consumer loans: Automobile loans, large domestically chartered commercial banks, 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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