Country
VariableIndex of retail trade volumeInformation on item
Frequency
UnitIndex
EditionInformation on itemSeptember 2018October 2018November 2018December 2018January 2019February 2019March 2019April 2019May 2019June 2019July 2019August 2019September 2019
Time
Jan-201594.399.799.799.799.799.799.799.799.799.799.799.799.7
Feb-201594.099.499.499.499.499.499.499.399.499.499.499.499.4
Mar-201594.399.799.799.799.799.799.799.799.799.799.799.799.7
Apr-201594.499.899.899.899.899.899.899.899.899.899.999.899.8
May-201594.299.699.699.699.699.699.699.699.699.699.699.699.6
Jun-201594.6100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0
Jul-201595.7101.2101.2101.2101.2101.2101.2101.2101.2101.2101.2101.2101.2
Aug-201595.5100.9100.8100.9100.9100.9100.9100.9100.9100.9100.9100.9100.9
Sep-201594.7100.1100.1100.1100.1100.1100.1100.1100.1100.1100.1100.1100.1
Oct-201594.199.599.599.599.599.599.599.599.599.599.599.599.5
Nov-201594.599.999.999.999.999.999.999.999.999.999.999.999.9
Dec-201594.8100.2100.2100.2100.2100.1100.1100.2100.2100.1100.1100.1100.1
Jan-201694.399.799.799.799.799.799.799.699.799.799.799.799.7
Feb-201695.1100.5100.5100.5100.5100.5100.5100.5100.5100.5100.5100.5100.5
Mar-201694.499.899.899.899.899.899.899.899.899.899.899.899.8
Apr-201694.8100.2100.3100.2100.2100.2100.2100.2100.3100.3100.3100.3100.3
May-201694.8100.2100.2100.2100.2100.2100.2100.2100.2100.2100.2100.2100.2
Jun-201694.399.899.799.799.899.899.899.799.799.799.799.799.7
Jul-201694.6100.0100.0100.0100.0100.1100.1100.1100.1100.1100.1100.1100.1
Aug-201694.7100.1100.2100.2100.2100.2100.2100.2100.2100.2100.2100.2100.2
Sep-201694.399.799.799.799.799.799.799.799.799.799.799.799.7
Oct-201695.2100.6100.6100.6100.6100.6100.6100.6100.7100.7100.6100.6100.6
Nov-201694.399.799.899.799.799.799.799.799.799.799.799.799.7
Dec-201694.199.599.599.599.599.499.499.599.499.499.499.499.4
Jan-201795.6101.0101.0101.0101.0101.0101.0100.9100.9100.9100.9100.9100.9
Feb-201794.499.899.899.899.899.899.899.899.899.899.899.899.8
Mar-201794.6100.0100.0100.0100.0100.0100.0100.0100.0100.1100.1100.2100.2
Apr-201794.9100.3100.3100.3100.3100.3100.3100.3100.3100.3100.2100.2100.2
May-201794.499.899.999.899.999.999.999.999.899.899.9100.0100.0
Jun-201794.9100.3100.3100.3100.3100.3100.3100.3100.3100.3100.3100.2100.2
Jul-201794.6100.0100.0100.0100.1100.1100.1100.1100.1100.1100.1100.1100.1
Aug-201794.6100.099.899.899.999.999.999.999.899.899.899.899.8
Sep-201794.599.999.9100.1100.1100.1100.1100.1100.1100.1100.1100.1100.1
Oct-201794.299.699.599.499.499.499.499.499.499.499.499.499.4
Nov-201794.6100.0100.0100.099.799.899.899.999.899.899.899.899.8
Dec-201794.299.699.699.699.699.699.699.699.599.599.599.599.5
Jan-201893.899.199.199.199.199.199.198.898.798.798.698.698.6
Feb-201894.599.899.999.899.899.899.899.899.899.799.799.799.7
Mar-201894.299.699.799.799.799.799.799.799.699.899.899.899.8
Apr-201893.698.899.098.999.099.099.099.098.998.998.798.798.7
May-201894.299.699.799.799.899.899.899.899.799.799.7100.2100.2
Jun-201894.299.599.699.699.799.799.799.799.799.799.799.399.3
Jul-2018..99.499.599.599.699.699.699.699.699.699.699.699.6
Aug-2018....99.799.799.899.899.899.999.799.799.799.799.7
Sep-2018......99.499.699.699.699.799.699.699.699.599.5
Oct-2018......99.899.9100.0100.0100.1100.0100.0100.0100.0100.0
Nov-2018........100.1100.1100.1100.2100.1100.0100.1100.1100.1
Dec-2018..........100.1100.1100.2100.1100.1100.0100.0100.0
Jan-2019..............100.6100.6100.5100.5100.5100.5
Feb-2019................100.1100.0100.0100.0100.0
Mar-2019..................99.999.899.999.9
Apr-2019....................100.3100.3100.3
May-2019......................99.699.6
Jun-2019......................100.9100.9
Data extracted on 17 Oct 2019 07:59 UTC (GMT) from OECD.Stat

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