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Trade Volumes: Export Volumes in the United Kingdom (TVEXPUKA)

Observations

2016: 566,242.0
Updated: Mar 12, 2018 9:11 AM CDT
2016:  566,242.0  
2015:  556,220.0  
2014:  524,340.0  
2013:  515,827.0  
2012:  509,954.0  

Units:

Millions of Chained 2013 British Pounds,
Not Seasonally Adjusted

Frequency:

Annual
1Y5Y10YMax
to
Date:
Bar 1 - Trade Volumes: Export Volumes in the United Kingdom Vintage: 2017-04-30
Bar 1
(a) Trade Volumes: Export Volumes in the United Kingdom, Millions of Chained 2013 British Pounds, Not Seasonally Adjusted (TVEXPUKA)
Goods only prior to 1870. Great Britain only prior to 1816. Break-adjusted measure intended for users who need a series without classification or geographical breaks for use in appropriate econometric work where, for example, the series will be log-differenced or log-linearised around a trend. This series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Users are permitted to reproduce this series in their own work as it represents Bank calculations and manipulations of underlying series that are the copyright of the Bank of England provided that underlying sources are cited appropriately. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources.

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
to

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.

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    Now create a custom formula to combine or transform the series.

    For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

    Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

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

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Bar 1 - Trade Volumes: Export Volumes in the United Kingdom Vintage: 2017-04-30
    Bar 2
    (a) Trade Volumes: Export Volumes in the United Kingdom, Millions of Chained 2013 British Pounds, Not Seasonally Adjusted (TVEXPUKA)
    Goods only prior to 1870. Great Britain only prior to 1816. Break-adjusted measure intended for users who need a series without classification or geographical breaks for use in appropriate econometric work where, for example, the series will be log-differenced or log-linearised around a trend. This series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Users are permitted to reproduce this series in their own work as it represents Bank calculations and manipulations of underlying series that are the copyright of the Bank of England provided that underlying sources are cited appropriately. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources.

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    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.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

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

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      Trade Volumes: Export Volumes in the United Kingdom Vintage: 2017-04-30
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      Bar 2
      Trade Volumes: Export Volumes in the United Kingdom Vintage: 2017-11-20
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      Notes

      Title Release Dates
      Trade Volumes: Export Volumes in the United Kingdom 2016-07-01 2017-11-20
       
      Source    
      Bank of England 2016-07-01 2017-11-20
       
      Release    
      Three Centuries of Macroeconomic Data 2016-07-01 2017-11-19
      A Millennium of Macroeconomic Data for the UK 2017-11-20 2017-11-20
       
      Units    
      Millions of Chained 2013 British Pounds 2016-07-01 2017-11-20
       
      Frequency    
      Annual 2016-07-01 2017-11-20
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2016-07-01 2017-11-20
       
      Notes    
      Goods only prior to 1870. Great Britain only prior to 1816. Break-adjusted measure intended for users who need a series without classification or geographical breaks for use in appropriate econometric work where, for example, the series will be log-differenced or log-linearised around a trend.

      This series was constructed by the Bank of England as part of the Three Centuries of Macroeconomic Data project by combining data from a number of academic and official sources. For more information, please refer to the Three Centuries spreadsheet at https://www.bankofengland.co.uk/statistics/research-datasets. Users are advised to check the underlying assumptions behind this series in the relevant worksheets of the spreadsheet. In many cases alternative assumptions might be appropriate. Users are permitted to reproduce this series in their own work as it represents Bank calculations and manipulations of underlying series that are the copyright of the Bank of England provided that underlying sources are cited appropriately. For appropriate citation please see the Three Centuries spreadsheet for guidance and a list of the underlying sources.

      		2016-07-01 2017-11-20

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