United Kingdom - Industrial Production

United Kingdom: Industrial Production

Mnemonic IP.IGBR
Unit Ch. Vol. Index 2016=100, SA
Adjustments Seasonally Adjusted
Monthly 20.32 %
Data Apr 2020 75.7
Mar 2020 95

Series Information

Source U.K. Office for National Statistics (ONS)
Release Detailed Index of Production
Frequency Monthly
Start Date 1/31/1968
End Date 4/30/2020

United Kingdom: Business

Reference Last Previous Units Frequency
Business Confidence Jun 2020 -38.9 -42.4 Bal. of Op., SA Monthly
Capacity Utilization 2020 Q2 57.7 79.6 %, SA Quarterly
Industrial Production Apr 2020 75.7 95 Ch. Vol. Index 2016=100, SA Monthly
Change in Inventories 2020 Q1 -2,213 -1,117 Mil. GBP, SA Quarterly
Real Change in Inventories 2020 Q1 -346 -2,585 Mil. Ch. 2016 GBP, SA Quarterly

Release Information

Industrial production in the U.K. by detailed UKSIC (NACE) categories. Chained volume measures, as indexes and percent changes. Monthly, quarterly and annual.

Interpreting the data

The non-seasonally adjusted series contain elements relating to the impact of the standard reporting period, moving holidays and trading day activity. When making comparisons it is recommended that users focus on seasonally adjusted estimates as these have the seasonal effects and systematic calendar related components removed.

Composition of the data

The Index of Production uses a variety of different data from sources which are produced on either a quarterly or monthly basis.

Most of the series are derived using current price turnover deflated by a suitable price index. This includes the Monthly Business Survey (MBS) data; an ONS short-term survey of various industries in the economy. It is one of the main data sources used in the compilation of the Index of Production.

Seasonal adjustment

The index numbers in this statistical bulletin are all seasonally adjusted. This aids interpretation by removing annually recurring fluctuations, for example, due to holidays or other regular seasonal patterns. Unadjusted data are also available.

Seasonal adjustment removes regular variation from a time series. Regular variation includes effects due to month lengths, different activity near particular events such as shopping activity before Christmas, and regular holidays such as the May bank holiday. Some features of the calendar are not regular each year, but are predictable if we have enough data - for example the number of certain days of the week in a month may have an effect, or the impact of the timing of Easter. As Easter changes between March and April we can estimate its effect on time series and allocate it between March and April depending on where Easter falls. Estimates of the effects of day of the week and Easter are used respectively to make trading day and Easter adjustments prior to seasonal adjustments.

Although leap years only happen every four years, they are predictable and regular and their impact can be estimated. Hence, if there is a leap year effect, it is removed as part of regular seasonal adjustment.


It is common for the value of a group of financial transactions to be measured in several time periods. The values measured will include both the change in the volume sold and the effect of the change of prices over that year. Deflation is the process whereby the effect of price change is removed from a set of values.

All series, unless otherwise quoted, are chained volume measures. Deflators adjust the value series to take out the effect of price change to give the volume series.

Figures for the most recent months are provisional and subject to revision in light of (a) late responses to surveys and administrative sources and (b) revisions to seasonal adjustment factors which are re-estimated every month and reviewed annually (changes from the latest review are included in this release).