Laos summary#

Country profile#

Economic losses#

Losses at national level#

  Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
occupancy      
Com 1.3B 351.0K 0.03%
Ind 1.0B 134.2K 0.01%
Res 17.3B 2,843.1K 0.02%

Losses at subnational level#

    Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
id_1 name_1      
LA06 Louangphabang 1,357.0M 945.8K 0.25%
LA04 Oudomxai 836.0M 481.2K 0.27%
LA03 Louangnamtha 501.7M 447.3K 0.29%
LA08 Xaignabouly 1,343.5M 405.7K 0.09%
LA05 Bokeo 535.5M 362.6K 0.22%
LA01 Vientiane Capital 3,558.0M 237.6K 0.02%
LA02 Phongsaly 485.7M 150.5K 0.11%
LA10 Vientiane 1,419.7M 100.5K 0.02%
LA07 Houaphan 740.3M 60.6K 0.03%
LA09 Xiengkhouang 687.2M 34.5K 0.02%
LA11 Bolikhamxai 833.5M 31.4K 0.01%
LA12 Khammouan 1,158.4M 19.8K 0.01%
LA13 Savannakhet 2,404.5M 17.2K 0.00%
LA16 Champasack 1,866.2M 17.0K 0.00%
LA14 Salavan 957.3M 8.1K 0.00%
LA17 Attapeu 420.5M 4.4K 0.00%
LA18 Xaisomboon 192.7M 2.8K 0.00%
LA15 Sekong 269.5M 1.1K 0.00%

Losses by macrotaxonomy#

    Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
occupancy macro_taxo      
Com MUR 536.8M 179.3K 0.03%
RC 334.7M 89.5K 0.03%
S 42.8M 4.7K 0.01%
W 386.5M 77.4K 0.02%
Ind MUR 114.0M 25.9K 0.02%
RC 433.5M 82.9K 0.02%
S 445.1M 25.0K 0.01%
W 2.9M 0.5K 0.02%
Res ADO/E 54.2M 28.3K 0.05%
MUR 4,908.1M 1,261.6K 0.03%
OT 60.6M 3.4K 0.01%
RC 3,618.8M 773.3K 0.02%
W 8,629.2M 776.5K 0.01%

Contribution of each macrotaxonomy#

  ADO/E_% MUR_% OT_% RC_% S_% W_%
occupancy            
Com 0.00% 51.09% 0.00% 25.49% 1.35% 22.07%
Ind 0.00% 19.29% 0.00% 61.72% 18.59% 0.40%
Res 1.00% 44.37% 0.12% 27.20% 0.00% 27.31%

Losses by full taxonomy#

    Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
occupancy taxonomy      
Com MUR/LWAL+DNO/H:2/COM12 10,285.7K 5,744 0.06%
CR/LFINF+DUL/H:2/COM3 10,855.4K 5,396 0.05%
CR/LFINF+DUL/H:2/COM12 16,615.4K 8,192 0.05%
CR/LFINF+DUL/H:2/COM5 6,144.0K 2,662 0.04%
CR/LFM+DUL/HBET:1-2/COM2 26,440.6K 11,239 0.04%
CR/LFINF+DUL/H:2/COM1 38,209.2K 16,231 0.04%
MUR/LWAL+DNO/H:1/COM3 21,325.7K 8,539 0.04%
MUR/LWAL+DNO/H:1/COM2 119,640.0K 42,382 0.04%
CR/LFINF+DUL/HBET:3-5/COM3 11,520.0K 4,060 0.04%
W/+DUL/HBET:1-2/COM5 4,576.0K 1,604 0.04%
CR/LFINF+DUL/HBET:3-5/COM5 9,452.3K 3,305 0.03%
MUR/LWAL+DNO/H:1/COM1 284,840.0K 95,895 0.03%
CR/LFINF+DUL/HBET:3-5/COM12 29,538.5K 9,770 0.03%
CR/LFINF+DUL/HBET:3-5/COM1 53,734.2K 17,076 0.03%
W/+DUL/HBET:1-2/COM1 34,183.3K 10,706 0.03%
MUR/LWAL+DNO/H:1/COM5 44,790.9K 13,869 0.03%
MUR/LWAL+DNO/H:1/COM12 20,571.4K 5,287 0.03%
CR/LFM+DUL/HBET:1-2/COM 8,443.1K 2,121 0.03%
MUR/LWAL+DNO/H:1/COM 30,434.3K 6,934 0.02%
CR/LFM+DUL/HBET:1-2/COM11 4,726.2K 931 0.02%
W/+DNO/HBET:1-2/COM1 300,976.7K 57,199 0.02%
W/+DNO/HBET:1-2/COM5 46,784.0K 7,938 0.02%
MUR/LWAL+DNO/H:1/COM11 4,937.1K 683 0.01%
S/LFM+DUL/HBET:1-2/COM2 42,260.0K 4,743 0.01%
CR/LFINF+DUL/H:1/COM12 12,923.1K 1,306 0.01%
CR/LFINF+DUL/H:1/COM3 17,464.6K 1,330 0.01%
CR/LFINF+DUL/H:1/COM1 76,709.2K 5,201 0.01%
CR/LFINF+DUL/H:1/COM5 11,963.1K 633 0.01%
S/LFM+DUL/HBET:1-2/COM11 533.3K 7 0.00%
Ind MUR/LWAL+DNO/H:1/IND4 2,123.1K 570 0.03%
MUR/LWAL+DNO/H:1/IND6 5,815.4K 1,411 0.02%
MUR/LWAL+DNO/H:1/IND2 106,073.1K 23,916 0.02%
CR/LFM+DUL/HBET:1-2/IND2 134,460.0K 26,324 0.02%
CR/LFM+DUL/HBET:1-2/IND1 299,040.0K 56,532 0.02%
W/+DNO/HBET:1-2/IND4 2,581.8K 486 0.02%
W/+DUL/HBET:1-2/IND4 272.7K 45 0.02%
S/LFM+DUL/HBET:1-2/IND1 445,090.9K 24,957 0.01%
Res EU/LWAL+DNO/H:1/RES 54,216.0K 28,319 0.05%
CR/LFINF+DUL/H:2/RES 350,795.8K 106,249 0.03%
CR/LFINF+DUL/H:5/RES 1,200,234.4K 312,725 0.03%
MUR/LWAL+DNO/H:1/RES 1,967,500.0K 511,767 0.03%
MUR/LWAL+DNO/H:2/RES 2,940,555.0K 749,843 0.03%
CR/LFINF+DUL/H:3/RES 233,215.5K 54,576 0.02%
CR/LFINF+DUL/H:4/RES 1,194,750.0K 257,712 0.02%
W/H:1/RES 532,190.8K 111,424 0.02%
W/H:2/RES 797,206.2K 100,452 0.01%
W+WBB/LPB+DNO/H:1/RES 2,018,592.0K 237,961 0.01%
CR/LFINF+DUL/H:1/RES 639,796.5K 41,991 0.01%
W+WO/LN/H:1/RES 5,225,004.0K 323,818 0.01%
UNK/H:1/RES 60,650.0K 3,432 0.01%
W+WWD/LWAL+DNO/H:1/RES 56,220.0K 2,844 0.01%

Human losses#

%(humanLosses)