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Consumer Price Index for All Urban Consumers: New and used motor vehicles (CUUR0000SETA)

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Observation:

Jun 2018: 99.447 (+ more)
Updated: Jul 12, 2018

Units:

Index Dec 1997=100,
Not Seasonally Adjusted

Frequency:

Monthly

1Y | 5Y | 10Y | Max

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(a) Consumer Price Index for All Urban Consumers: New and used motor vehicles, Index Dec 1997=100, Not Seasonally Adjusted (CUUR0000SETA)

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(a) Consumer Price Index for All Urban Consumers: New and used motor vehicles, Index Dec 1997=100, Not Seasonally Adjusted (CUUR0000SETA)

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: New and used motor vehicles	2011-04-15	2018-07-12

Source

U.S. Bureau of Labor Statistics	2011-04-15	2018-07-12

Release

Consumer Price Index	2011-04-15	2018-07-12

Units

Index Dec 1997=100	2011-04-15	2018-07-12

Frequency

Monthly	2011-04-15	2018-07-12

Seasonal Adjustment

Not Seasonally Adjusted	2011-04-15	2018-07-12

Jun 2018:	99.447
May 2018:	98.996
Apr 2018:	99.117
Mar 2018:	99.552
Feb 2018:	99.010

Consumer Price Index for All Urban Consumers: New and used motor vehicles (CUUR0000SETA)

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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