
This dataset provides average national-level current gross replacement costs of the stock of residential assets (buildings and household contents) per m2 of useful floor space. The dataset includes annual time series (2000–2020) for 33 European countries, in nominal and real prices. It is intended for application in microscale disaster models by enabling approximation of the monetary value of individual buildings exposed to hazards, especially floods, for which damage functions often distinguish between vulnerability of the building structure and contents inside.
The dataset is a revision and update of the dataset originally described in Paprotny et al. (2020). This update was possible through project "Decomposition of flood losses by environmental and economic drivers" (FloodDrivers), supported by the German Research Foundation (DFG), project no. 449175973.
{"references": ["6.\tPaprotny D., Kreibich H., Morales N\u00e1poles O., Terefenko P., Schr\u00f6ter K. 2020. Estimating exposure of residential assets to natural hazards in Europe using open data. Natural Hazards and Earth System Sciences 20, 323\u2013343. doi:10.5194/nhess-20-323-2020"]}
Consumer durables, Natural hazards, Dwellings, Damage functions, Floods, Exposure
Consumer durables, Natural hazards, Dwellings, Damage functions, Floods, Exposure
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
