Sierra Leone summary#

Country profile#

Economic losses#

Losses at national level#

  Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
occupancy      
Com 2.8B 22.6K 0.00%
Ind 0.7B 2.7K 0.00%
Res 17.9B 132.8K 0.00%

Losses at subnational level#

    Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
id_1 name_1      
SLE-ADM1-1590546715-B4 Northern 7.1B 60.4K 0.00%
SLE-ADM1-1590546715-B2 Eastern 4.7B 45.3K 0.00%
SLE-ADM1-1590546715-B1 Southern 4.9B 42.5K 0.00%
SLE-ADM1-1590546715-B3 Western Area 4.6B 10.0K 0.00%

Losses by macrotaxonomy#

    Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
occupancy macro_taxo      
Com ADO/E 1,449.8M 16,840 0.00%
MCF 57.6M 150 0.00%
MUR 1,117.7M 5,090 0.00%
RC 156.7M 558 0.00%
W 2.7M 5 0.00%
Ind MCF 13.8M 31 0.00%
MUR 419.6M 2,220 0.00%
RC 32.6M 109 0.00%
S 232.5M 370 0.00%
Res ADO/E 4,523.2M 70,062 0.00%
MCF 430.0M 1,147 0.00%
MUR 7,354.5M 45,805 0.00%
OT 137.3M 354 0.00%
RC 1,041.7M 6,548 0.00%
W 4,369.3M 8,866 0.00%

Contribution of each macrotaxonomy#

  ADO/E_% MCF_% MUR_% OT_% RC_% S_% W_%
occupancy              
Com 74.37% 0.66% 22.48% 0.00% 2.47% 0.00% 0.02%
Ind 0.00% 1.15% 81.30% 0.00% 4.00% 13.56% 0.00%
Res 52.76% 0.86% 34.50% 0.27% 4.93% 0.00% 6.68%

Losses by full taxonomy#

    Exposed value (USD) Average annual losses (USD) Average annual loss ratios (%)
occupancy taxonomy      
Com MUR+ADO/LWAL+CDN/H:2/COM 681.2M 10,772 0.00%
MUR+ADO/LWAL+CDN/HBET:3-6/COM 105.2M 1,109 0.00%
MUR+CL/LWAL+CDN/HBET:3-6/COM 20.8M 159 0.00%
MUR+ADO/LWAL+CDN/H:1/COM 663.4M 4,959 0.00%
MUR+CL/LWAL+CDN/H:1/COM 135.3M 925 0.00%
MUR+CB/LWAL+CDN/HBET:3-6/COM 59.7M 355 0.00%
MUR+CL/LWAL+CDN/H:2/COM 139.0M 822 0.00%
CR/LFINF+CDL/H:2/COM 42.4M 199 0.00%
MCF+CL/LWAL+CDL/HBET:3-6/COM 1.4M 6 0.00%
MCF+CB/LWAL+CDL/HBET:3-6/COM 6.0M 24 0.00%
MUR+CB/LWAL+CDN/H:2/COM 386.5M 1,504 0.00%
CR/LFINF+CDL/H:3/COM 51.5M 199 0.00%
MUR+CB/LWAL+CDN/H:1/COM 376.4M 1,325 0.00%
MCF+CB/LWAL+CDL/H:2/COM 20.6M 72 0.00%
CR/LFINF+CDL/HBET:4-7/COM 32.4M 112 0.00%
W/LWAL+CDL/H:1/COM 1.0M 3 0.00%
MCF+CL/LWAL+CDL/H:2/COM 4.9M 11 0.00%
CR/LFINF+CDL/H:1/COM 11.8M 23 0.00%
MCF+CB/LWAL+CDL/H:1/COM 20.0M 31 0.00%
CR/LFINF+CDL/HBET:8+/COM 18.6M 25 0.00%
W/LWAL+CDL/H:2/COM 1.1M 1 0.00%
MCF+CL/LWAL+CDL/H:1/COM 4.8M 5 0.00%
W/LWAL+CDL/H:3/COM 0.6M 0 0.00%
Ind MUR+CL/LWAL+CDN/H:1/IND 102.9M 761 0.00%
MUR+CL/LWAL+CDN/H:2/IND 74.8M 477 0.00%
CR/LFINF+CDL/H:2/IND 13.7M 61 0.00%
MUR+CB/LWAL+CDN/H:1/IND 140.0M 583 0.00%
MUR+CB/LWAL+CDN/H:2/IND 101.8M 400 0.00%
MCF+CB/LWAL+CDL/H:2/IND 4.7M 16 0.00%
MCF+CL/LWAL+CDL/H:2/IND 1.1M 4 0.00%
CR/LFINF+CDL/H:1/IND 18.9M 48 0.00%
S/LFM+CDL/H:2/IND 44.8M 106 0.00%
S+SL/LFM+CDL/H:2/IND 53.1M 97 0.00%
MCF+CB/LWAL+CDL/H:1/IND 6.5M 10 0.00%
S/LFM+CDL/H:1/IND 61.6M 78 0.00%
S+SL/LFM+CDL/H:1/IND 73.0M 89 0.00%
MCF+CL/LWAL+CDL/H:1/IND 1.5M 2 0.00%
Res MUR+ADO/LWAL+CDN/H:2/RES 2,251.1M 46,261 0.00%
MUR+ADO/LWAL+CDN/HBET:3-6/RES 297.6M 4,343 0.00%
MUR+ADO/LWAL+CDN/H:1/RES 1,366.9M 13,507 0.00%
E+ETO/LWAL+CDN/H:1/RES 607.5M 5,951 0.00%
MUR+CL/LWAL+CDN/HBET:3-6/RES 148.6M 1,352 0.00%
MUR+CL/LWAL+CDN/H:1/RES 682.7M 5,700 0.00%
MUR+CL/LWAL+CDN/H:2/RES 1,124.3M 9,375 0.00%
CR/LFINF+CDL/H:2/RES 333.7M 2,433 0.00%
CR/LFINF+CDL/H:3/RES 410.0M 2,821 0.00%
MUR+CB/LWAL+CDN/HBET:3-6/RES 410.3M 2,716 0.00%
MATO/RES 30.1M 181 0.00%
MUR+CB/LWAL+CDN/H:1/RES 1,884.7M 10,146 0.00%
MUR+CB/LWAL+CDN/H:2/RES 3,103.8M 16,516 0.00%
CR/LFINF+CDL/HBET:4-7/RES 182.9M 938 0.00%
MCF+CB/LWAL+CDL/HBET:3-6/RES 51.4M 245 0.00%
W/LWAL+CDL/H:1/RES 4.7M 22 0.00%
EWV/LN+CDN/H:1/RES 1.2M 6 0.00%
CR/LFINF+CDL/HBET:8+/RES 57.2M 244 0.00%
W/LWAL+CDL/H:3/RES 4.5M 16 0.00%
MCF+CL/LWAL+CDL/HBET:3-6/RES 12.2M 41 0.00%
MCF+CL/LWAL+CDL/H:2/RES 43.8M 138 0.00%
MCF+CB/LWAL+CDL/H:2/RES 184.1M 568 0.00%
W/LWAL+CDL/H:2/RES 7.8M 21 0.00%
W+WWD/LWAL+CDN/H:2/RES 1,800.8M 3,880 0.00%
CR/LFINF+CDL/H:1/RES 57.9M 112 0.00%
W+WWD/LWAL+CDN/H:1/RES 2,551.5M 4,928 0.00%
ME+MEO/LWAL+CDN/H:1/RES 106.0M 168 0.00%
MCF+CB/LWAL+CDL/H:1/RES 111.8M 129 0.00%
MCF+CL/LWAL+CDL/H:1/RES 26.6M 26 0.00%

Human losses#

%(humanLosses)