111i -- Volume index of industrial output (2015=100), 1995M01-2019M02
Mark your selections and choose between table on screen and file format. Marking tips

For variables marked Select at least one value you need to select at least one value

Information Select at least one value

Total 9 Selected

Search

Month Select at least one value

Total 290 Selected

Search

Standard Industrial Classification (TOL 2008) Select at least one value

Total 38 Selected

Search


Number of selected data cells are:(maximum number allowed is 1,000,000)

Presentation on screen is limited to 1,000 rows and 300 columns


Number of selected cells exceeds the maximum allowed 1,000,000
Contact and information

Information

Unit
Original index:
index point
Annual change of the original index series, %:
%
Cumulative annual change of the original index series, %:
%
Working day adjusted index series:
index point
Annual change of the working day adjusted index series, %:
%
Seasonally adjusted index series:
index point
Change of the seasonally adjusted index series from the previous month, %:
%
Trend series:
index point
Change of trend from previous month %:
%
Contact
Original index:
Further information
Statistics' homepage
Annual change of the original index series, %:
Further information
Statistics' homepage
Cumulative annual change of the original index series, %:
Further information
Statistics' homepage
Working day adjusted index series:
Further information
Statistics' homepage
Annual change of the working day adjusted index series, %:
Further information
Statistics' homepage
Seasonally adjusted index series:
Further information
Statistics' homepage
Change of the seasonally adjusted index series from the previous month, %:
Further information
Statistics' homepage
Trend series:
Further information
Statistics' homepage
Change of trend from previous month %:
Further information
Statistics' homepage
Latest update
Original index:
4/10/2019
Annual change of the original index series, %:
4/10/2019
Cumulative annual change of the original index series, %:
4/10/2019
Working day adjusted index series:
4/10/2019
Annual change of the working day adjusted index series, %:
4/10/2019
Seasonally adjusted index series:
4/10/2019
Change of the seasonally adjusted index series from the previous month, %:
4/10/2019
Trend series:
4/10/2019
Change of trend from previous month %:
4/10/2019
Next update
5/10/2019
Creation date
4/10/2019
Source
Volume index of industrial output, Statistics Finland
Matrix
002_111i_2019m02
Footnotes

Footnotes

Revisions on these statistics
Description of statistic
Concepts and definitions
Changes in these statistics
The volume index of industrial output describes the relative change in the volume of industrial output at fixed prices when compared with a specific base period. Original index, index adjusted for working days, seasonally adjusted index and trend.
Month
Tilastointiajankohta
Standard Industrial Classification (TOL 2008)
Yrityksen tai toimipaikan yritysrekisterin mukainen toimiala
Information
Annual change of the original index series, %
Alkuperäisen indeksipisteluvun muutos vuoden takaisesta prosentteina
Trend series
It has generally been though that time series on economic trends are made up of different elements, or components:
1. Trend cycle (trend in brief) describes the long-term development and the movements caused by economic cycles in a time series.
2. Seasonal variation (caused by e.g. changes of season) describes annually recurring, almost regular changes.
3. As its name implies, irregular random variation occurs totally randomly. It cannot be included in the aforementioned components.
Seasonal adjustment means the estimation of seasonal variation and the elimination of its impact from a time series. The obtained outcome from this is a seasonally adjusted time series. The trend of a time series is obtained if both seasonal variation and irregular random variation are eliminated from it.
Phenomena associated with long-term development and cyclical changes are more easily observable from a seasonally adjusted time series and a trend of a time series. For instance, the detection of turning points in economic cycles becomes easier. The figures of a seasonally adjusted series are comparable with each other, which makes the comparing of two successive observations meaningful. The same also applies to the values of the trend of a time series.
Sometimes the number of working days in an observation period influences the value a time series receives. The Tramo/Seats method makes it possible to calculate a time series adjusted for working days in which the observations are comparable with regard to the weekly structure. This refers to making allowances for the impact of weekends, public holidays (e.g. Independence Day, Epiphany, May Day, Easter) and the Leap Day.