To the Top
There is a problem in downloading JSON-stat-files. We recommend using the JSON-Stat2 format.
CtrlNavigationFlowExplainScreenReaderChoose variable

13bh -- Volume index of industrial output (2015=100), 1995M01-2022M07

Choose variables

Yes
9/9/2022
Share of industry in total industries (BCD):
%
Original index:
index point
Annual change of the original index series, %:
%
Cumulative annual change of the original index series, %:
%
Working day adjusted index series:
muutosprosentti
Annual change of the working day adjusted index series, %:
%
Seasonally adjusted index series:
muutosprosentti
Change of the seasonally adjusted index series from the previous month, %:
%
Trend series:
index point
Change of trend from previous month %:
%
10/10/2022
9/9/2022
Statistics Finland, volume index of industrial output
001_13bh_2022m07
Now you have come to the page, Choose variable. This page give you the oportunity to select which variables and values you want to display in your result of the table. A variable is a property of a statistical unit. The page is divided into several boxes, one for each variable, where you can select values by click to highlight one or more values. It always starts with the statistics variable which is the main value counted in the table.
Mandatory
Field for searching for a specific value in the list box. This is examples of values you can search for.Share of industry in total industries (BCD) , Original index , Annual change of the original index series, % ,

Selected 1 of total 10

Mandatory
Field for searching for a specific value in the list box. This is examples of values you can search for.1995M01 , 1995M02 , 1995M03 ,

Selected 1 of total 331

Mandatory
Field for searching for a specific value in the list box. This is examples of values you can search for.BCD Total industries , B Mining and quarrying , C Manufacturing ,

Selected 0 of total 38

Number of selected data cells are:
(maximum number allowed is 300,000)

Presentation on screen is limited to 1,000 rows and 30 columns

Number of selected cells exceeds the maximum allowed 300,000
Documentation of 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.

Standard Industrial Classification (TOL 2008)

Yrityksen tai toimipaikan yritysrekisterin mukainen toimiala

Information

Original index

Alkuperäisen indeksipisteluvun muutos vuoden takaisesta prosentteina

Working day adjusted index series

Yrityksen tai toimipaikan yritysrekisterin mukainen toimiala

Change of the seasonally adjusted index series from the previous month, %

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.