Denmark exposure#

This page summarises the exposure model for Denmark in Europe, including national, subnational, and taxonomy-level views.

National summary#

The national exposure profile by occupancy class highlights the distribution of buildings, replacement value, and exposed population.

  BUILDINGS POPULATION TOTAL_COST BUILDINGS_% POPULATION_% TOTAL_COST_%
OCCUPANCY            
COM 92.2K 0.0M $221.9B 5.14% 0.00% 18.53%
IND 76.1K 0.0M $186.0B 4.24% 0.00% 15.53%
RES 1,625.2K 6.0M $789.7B 90.61% 100.00% 65.94%

National exposure by occupancy class

Figure: Relative contribution of occupancy classes to total national exposure in Denmark.

National exposure by taxonomy

Figure: National exposure distribution by taxonomy classes in Denmark.

Building height profile

Figure: Building height profile used in the exposure model for Denmark.

Subnational summary#

The subnational summary aggregates exposure by first administrative level and supports comparison of spatial concentration of assets.

  BUILDINGS POPULATION TOTAL_COST BUILDINGS_% POPULATION_% TOTAL_COST_%
NAME_1            
Hovedstaden 540.9K 1.9M $363.9B 30.16% 31.86% 30.39%
Syddanmark 400.5K 1.3M $276.6B 22.33% 20.89% 23.10%
Midtjylland 404.3K 1.4M $275.2B 22.54% 22.86% 22.98%
Sjælland 255.0K 0.9M $157.2B 14.22% 14.35% 13.13%
Nordjylland 192.7K 0.6M $124.6B 10.75% 10.04% 10.40%

Subnational exposure by occupancy class

Figure: Subnational distribution of exposure by occupancy class across first-level administrative units.

Subnational exposure by taxonomy

Figure: Subnational distribution of exposure by taxonomy classes across first-level administrative units.

Taxonomy summary#

The taxonomy summary provides a detailed view of building classes represented in the national exposure model.

Exposure by taxonomy classes

Figure: Distribution of exposure by detailed taxonomy classes in Denmark.

      BUILDINGS POPULATION TOTAL_COST BUILDINGS_% POPULATION_% TOTAL_COST_%
MACRO_TAXONOMY TAXONOMY OCCUPANCY            
CR- CR/LFINF/CDN+ERL/H:4-10/RES RES 477,832 3,440.3K $430.9B 26.64% 57.32% 35.98%
MUR MUR+CL/LWAL/CDN+ERN/H:1-4/RES RES 751,965 1,447.4K $185.7B 41.93% 24.11% 15.51%
CR- CR/LFINF/CDL+ERL/H:3-5/COM COM 31,613 0.0K $102.9B 1.76% 0.00% 8.59%
CR/LWAL/CDL+ERL/H:4-10/RES RES 67,010 482.5K $60.4B 3.74% 8.04% 5.05%
ADO|ST|E MUR+ST/LWAL/CDN+ERN/H:1-4/RES RES 191,668 369.5K $56.4B 10.69% 6.15% 4.71%
CR- CR+PC/LFM/CDN+ERL/H:1/IND IND 24,206 0.0K $53.1B 1.35% 0.00% 4.44%
W W/LPB/CDN+ERL/H:1-3/RES RES 106,891 205.5K $47.4B 5.96% 3.42% 3.96%
CR- CR/LWAL/CDL+ERL/H:3-5/COM COM 12,918 0.0K $40.8B 0.72% 0.00% 3.41%
S S/LFM/CDN+ERL/H:1/IND IND 15,726 0.0K $39.8B 0.88% 0.00% 3.33%
W W/LWAL/CDN+ERM/H:1/IND IND 7,488 0.0K $26.4B 0.42% 0.00% 2.21%
CR- CR/LFM/CDN+ERL/H:2/IND IND 11,713 0.0K $25.7B 0.65% 0.00% 2.15%
S S/LFBR/CDN+ERL/H:1/IND IND 7,488 0.0K $19.0B 0.42% 0.00% 1.58%
MUR MUR+CL/LWAL/CDN+ERN/H:2/COM COM 12,510 0.0K $18.1B 0.70% 0.00% 1.51%
MUR+CL/LWAL/CDN+ERN/H:1/COM COM 14,305 0.0K $15.9B 0.80% 0.00% 1.33%
CR- CR/LFINF/CDL+ERL/H:1/COM COM 7,457 0.0K $14.9B 0.42% 0.00% 1.24%
S S+SL/LFM/CDN+ERL/H:1/IND IND 4,493 0.0K $11.4B 0.25% 0.00% 0.95%
MUR MUR/LWAL/CDN+ERN/H:1/IND IND 5,018 0.0K $10.6B 0.28% 0.00% 0.89%
W W/LPB/CDN+ERL/H:2/COM COM 4,056 0.0K $9.3B 0.23% 0.00% 0.77%
MUR MUR+CB/LWAL/CDN+ERN/H:1-2/RES RES 29,803 57.4K $8.9B 1.66% 0.96% 0.74%
ADO|ST|E MUR+ST/LWAL/CDN+ERN/H:1/COM COM 2,588 0.0K $4.4B 0.14% 0.00% 0.36%
W W/LPB/CDN+ERL/H:1/COM COM 1,896 0.0K $4.0B 0.11% 0.00% 0.34%
CR- CR/LFINF/CDL+ERL/H:>5/COM COM 977 0.0K $3.3B 0.05% 0.00% 0.28%
MUR MUR+CB/LWAL/CDN+ERN/H:1/COM COM 1,498 0.0K $2.3B 0.08% 0.00% 0.19%
CR- CR/LFINF/CDL+ERL/H:2/COM COM 547 0.0K $2.2B 0.03% 0.00% 0.18%
MUR MUR+CB/LWAL/CDN+ERN/H:2/COM COM 1,127 0.0K $1.8B 0.06% 0.00% 0.15%
CR- CR/LWAL/CDL+ERL/H:>5/COM COM 491 0.0K $1.5B 0.03% 0.00% 0.12%
ADO|ST|E MUR+ST/LWAL/CDN+ERN/H:2/COM COM 262 0.0K $0.6B 0.01% 0.00% 0.05%