DBnomics, the world's economic database

[FPIInLg15Kv] Factor price index (FPI) for buildings (including wage drift), 2015=100 by type of building, type of expenditure, observations and quarter

Updated on DBnomics on April 6, 2022 (11:25 AM).

Documentation
Search filters
type of building [Hustyp] (2)
type of expenditure [Kostnadsslag] (3)
observations [ContentsCode] (1)

This dataset has 6 series:

Series code 2015-Q12015-Q22015-Q32015-Q42016-Q12016-Q22016-Q32016-Q42017-Q12017-Q22017-Q32017-Q42018-Q12018-Q22018-Q32018-Q42019-Q12019-Q22019-Q32019-Q42020-Q12020-Q22020-Q32020-Q42021-Q1
[FLERBO.ARBL.000000YB] 99.3 99.4 100.2 101.1 101 101.7 102.5 102.5 101.9 103.1 104.6 105.3 106.7 107.5 107.4 108 107.7 109.2 108.6 110.8 110.2 100.3 110 110.5 111
[FLERBO.TOTEM.000000YB] 99.6 100 100 100.4 100.4 101.3 101.7 102 102.7 103.9 104.4 105 106.3 107.7 108.5 109 110 112 111.9 112.4 113 109.7 112.8 113.4 115
[FLERBO.TOTIM.000000YB] 116.3 116.8 116.7 117.2 117.3 118.2 118.8 119.1 119.9 121.3 121.9 122.6 124.1 125.7 126.6 127.3 128.5 130.8 130.7 131.3 132 128.1 131.7 132.4 134.2
[GRUPPSMÅ.ARBL.000000YB] 99.5 99.3 100.1 101.2 100.8 101.7 102.3 102.1 101.7 102.3 104.5 105 106.8 107.9 107.7 108 107.2 109.6 108.4 111.5 110 99.8 110.5 110.4 111.5
[GRUPPSMÅ.TOTEM.000000YB] 99.5 99.9 100 100.5 100.5 101.4 101.7 99.2 102.4 103.4 104.1 104.6 105.9 107.4 108.2 108.7 109.4 111.3 111.1 111.9 112 108.1 112.1 112.7 113.8
[GRUPPSMÅ.TOTIM.000000YB] 116.2 116.7 116.8 117.4 117.4 118.4 118.8 115.8 119.5 120.7 121.6 122.2 123.6 125.4 126.3 126.9 127.8 130 129.7 130.6 130.8 126.2 130.9 131.6 132.8