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Consumer Price Index for All Urban Consumers: Motor vehicle parts and equipment (CUSR0000SETC)

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Observation:

Aug 2016: 143.676 (+ more)
Updated: Sep 16, 2016

Units:

Index 1982-1984=100,
Seasonally Adjusted

Frequency:

Monthly

1Y | 5Y | 10Y | Max

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(a) Consumer Price Index for All Urban Consumers: Motor vehicle parts and equipment, Index 1982-1984=100, Seasonally Adjusted (CUSR0000SETC)

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(a) Consumer Price Index for All Urban Consumers: Motor vehicle parts and equipment, Index 1982-1984=100, Seasonally Adjusted (CUSR0000SETC)

Units:

Select a date that will equal 100 for your custom index:

U.S. recession: or

Display integer periods instead of dates (e.g. ...,-1,0,1,...) with the value scaled to 100 at period 0.

As-of date: or select a vintage:

Modify frequency:

Customize data:

Write a custom formula to transform one or more series or combine two or more series.

You can begin by adding a series to combine with your existing series.

Now create a custom formula to combine or transform the series.
Need help? []

Formula:

Finally, you can change the units of your new series.

Units:

Add the minimum, maximum, and average calculations of selected bars to the graph []

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NOTES

Title	Release Dates

Consumer Price Index for All Urban Consumers: Motor vehicle parts and equipment	2011-04-15	2016-09-16

Source

US. Bureau of Labor Statistics	2011-04-15	2016-09-16

Release

Consumer Price Index	2011-04-15	2016-09-16

Units

Index 1982-1984=100	2011-04-15	2016-09-16

Frequency

Monthly	2011-04-15	2016-09-16

Seasonal Adjustment

Seasonally Adjusted	2011-04-15	2016-09-16

Aug 2016:	143.676
Jul 2016:	142.932
Jun 2016:	143.822
May 2016:	143.694
Apr 2016:	144.612

Consumer Price Index for All Urban Consumers: Motor vehicle parts and equipment (CUSR0000SETC)

All Vintages (data)

Excel (data)

CSV (data)

Image (graph)

PDF (graph)

Customize data:

Add the minimum, maximum, and average calculations of selected bars to the graph []

Customize data:

Add the minimum, maximum, and average calculations of selected bars to the graph []

Add data series to graph:

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