To the Top
CtrlNavigationFlowExplainScreenReaderChoose variable

11k3 -- Price index of new detached houses 2010=100, 2009Q1-2022Q3

Choose variables

index point
Quarterly change, %:
Annual change, %:
Statistics Finland, real estate prices
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.

Selected 1 of total 3

Field for searching for a specific value in the list box. This is examples of values you can search for.2009Q1 , 2009Q2 , 2009Q3 ,

Selected 1 of total 55

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 weight structure of the price index for new single-family houses is from 2009. The aim is to update the base year and structure of the index during 2022 and 2023 to correspond better to the present market situation.



An index is a ratio describing the relative change in a variable (e.g. price, volume or value) compared to a certain base period [e.g. one year]. The index point figure for each point in time tells what percentage the given examined variable is of its respective value or volume at the base point in time. The mean of the index point figures for the base period is 100.

Quarterly change, %

Quarterly change refers to the relative change in the index of the quarter compared with the index of the previous quarter. The change is usually expressed in percentages.

Annual change, %

Annual change is the relative change of the index in comparison with the corresponding time period one year ago (e.g. annual change of total index of consumer prices, i.e. inflation).