Paraguay summary#

Country profile#

Economic losses#

Losses at national level#

  Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
occupancy      
Com 9.4B 23.5K 0.00%
Ind 9.0B 14.1K 0.00%
Res 60.3B 192.5K 0.00%

Losses at subnational level#

    Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
id_1 name_1      
10 Central 15,476.5M 100,130 0.00%
5 Asunción 6,003.2M 66,437 0.00%
17 Presidente Hayes 1,548.4M 33,041 0.01%
12 Cordillera 4,001.9M 10,121 0.00%
18 San Pedro 5,980.9M 4,744 0.00%
6 Boquerón 722.7M 3,523 0.00%
16 Paraguarí 4,310.9M 3,448 0.00%
7 Caaguazú 7,717.2M 2,535 0.00%
1 Ñeembucú 1,316.8M 2,400 0.00%
11 Concepción 3,149.2M 2,297 0.00%
13 Guairá 3,181.1M 742 0.00%
8 Caazapá 2,679.4M 316 0.00%
15 Misiones 1,861.8M 197 0.00%
9 Canindeyú 2,544.4M 100 0.00%
2 Alto Paraguay 259.6M 74 0.00%
3 Alto Paraná 8,050.3M 50 0.00%
14 Itapúa 8,104.6M 29 0.00%
4 Amambay 1,747.1M 19 0.00%

Losses by macrotaxonomy#

    Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
occupancy macro_taxo      
Com MCF 3,600.9M 8,572 0.00%
MR 511.7M 1,682 0.00%
MUR 966.5M 5,597 0.00%
RC 3,316.7M 6,241 0.00%
S 1,008.4M 1,450 0.00%
Ind MCF 2,425.7M 5,899 0.00%
MR 54.1M 179 0.00%
MUR 110.3M 588 0.00%
RC 5,157.5M 6,454 0.00%
S 1,167.5M 787 0.00%
W 54.0M 229 0.00%
Res MCF 35,308.3M 56,883 0.00%
MUR 20,490.8M 108,769 0.00%
RC 4,483.8M 26,871 0.00%

Contribution of each macrotaxonomy#

  MCF_% MR_% MUR_% RC_% S_% W_%
occupancy            
Com 36.41% 7.15% 23.77% 26.51% 6.16% 0.00%
Ind 41.73% 1.27% 4.16% 45.66% 5.56% 1.62%
Res 29.55% 0.00% 56.50% 13.96% 0.00% 0.00%

Losses by full taxonomy#

    Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
occupancy taxonomy      
Com MUR/LWAL+DNO/H:1/COM 311.5M 1,919 0.00%
MUR/LWAL+DNO/H:2/COM 655.0M 3,678 0.00%
CR/LFINF+DUL/HBET:4-6/COM 715.3M 2,461 0.00%
MR/LWAL+DUL/H:1/COM 511.7M 1,682 0.00%
CR/LFINF+DNO/HBET:4-6/COM 463.5M 1,257 0.00%
MCF/LWAL+DNO/H:1/COM 923.5M 2,405 0.00%
MCF/LWAL+DNO/H:2/COM 2,677.4M 6,167 0.00%
CR/LFINF+DUL/HBET:1-3/COM 383.9M 756 0.00%
CR/LFINF+DNO/HBET:1-3/COM 449.4M 856 0.00%
SR/LFM+DUL/HBET:1-3/COM 418.9M 783 0.00%
SL/LFM+DUL/H:1/COM 263.0M 314 0.00%
CR+PC/LWAL+DUL/HBET:1-3/COM 129.0M 141 0.00%
SR/LFM+DUL/H:1/COM 326.5M 352 0.00%
CR/LWAL+DNO/HBET:1-3/COM 233.7M 198 0.00%
CR/LWAL+DUL/HBET:1-3/COM 197.9M 167 0.00%
CR/LWAL+DUL/HBET:4-6/COM 157.8M 116 0.00%
CR+PC/LFM+DUL/HBET:1-3/COM 292.5M 148 0.00%
CR/LWAL+DUL/HBET:7-10/COM 293.8M 141 0.00%
Ind MUR/LWAL+DNO/H:1/IND 72.7M 391 0.00%
MUR/LWAL+DNO/H:2/IND 37.6M 197 0.00%
W+WLI/LWAL+DUL/H:1/IND 54.0M 229 0.00%
MR/LWAL+DUL/H:1/IND 54.1M 179 0.00%
MCF/LWAL+DNO/H:1/IND 243.0M 605 0.00%
MCF/LWAL+DNO/H:2/IND 1,769.6M 4,321 0.00%
MCF/LWAL+DUL/H:2/IND 413.1M 973 0.00%
CR/LFINF+DNO/HBET:1-3/IND 2,467.6M 3,980 0.00%
CR/LFINF+DUL/HBET:1-3/IND 952.3M 1,228 0.00%
SR/LFM+DUL/HBET:1-3/IND 49.2M 46 0.00%
CR+PC/LFM+DUL/H:1/IND 506.4M 423 0.00%
CR/LWAL+DUL/HBET:1-3/IND 592.2M 435 0.00%
SL/LFM+DUL/H:1/IND 366.0M 250 0.00%
CR+PC/LWAL+DUL/HBET:1-3/IND 171.0M 113 0.00%
SR/LFM+DUL/H:1/IND 752.3M 490 0.00%
CR/LWAL+DNO/HBET:1-3/IND 468.1M 274 0.00%
Res CR/LFINF+DNO/HBET:4-6/RES 2,241.9M 13,792 0.00%
CR/LFINF+DUL/HBET:4-6/RES 2,241.9M 13,079 0.00%
MUR/LWAL+DNO/H:1/RES 5,816.4M 33,643 0.00%
MUR/LWAL+DNO/H:2/RES 4,486.9M 24,530 0.00%
MUR+ST/LWAL+DNO/H:1/RES 5,751.0M 30,790 0.00%
MUR+ST/LWAL+DNO/H:2/RES 4,436.5M 19,807 0.00%
MCF/LWAL+DNO/H:2/RES 14,019.4M 25,063 0.00%
MCF/LWAL+DUL/H:2/RES 7,009.7M 11,711 0.00%
MCF/LWAL+DNO/H:1/RES 10,384.8M 14,872 0.00%
MCF/LWAL+DUL/H:1/RES 3,894.3M 5,237 0.00%

Human losses#

%(humanLosses)