Post on 25-Apr-2018
Nonresidential Building Fire Trends | May 2018Fire Estimate Summary
Nonresidential Building Fire Trends (2007-2016)
Fire estimate summaries present basic data on the size and status of the f ire problem in the United States as depicted through data reported to the U.S. Fire Administration’s (USFA’s) National Fire Incident Reporting System (NFIRS). Each Fire Estimate Summary addresses the size of the specific fire or fire-related issue, and highlights important trends in the data. Note: Fire estimate summaries are based on the USFA’s “National Estimates Methodology for Building Fires and Losses” (https://www.usfa.fema.gov/downloads/pdf/statistics/national_estimate_methodology.pdf ). The USFA is committed to providing the best and most current information on the U.S. fire problem and, as a result, continually examines i ts data and methodolog y. Because of this commitment, changes to data collection strategies and estimate methodologies occur, causing estimates to change slightly over time. Previous estimates on specific issues (or similar issues) may have been a result of different methodologies or data definitions used and may not be directly comparable to current estimates.
National estimates for nonresidential building fires and losses in 2016, the most recent year for which data are available, are as follows:
ĵ Fires: 96,800. ĵ Deaths: 145. ĵ Injuries: 1,550. ĵ Dollar loss: $2,007,300,000.
Overall trends for nonresidential building fires and losses for the 10-year period of 2007 to 2016 show the following:
ĵ A 5 percent increase in fires. ĵ A 5 percent increase in deaths. In 2016, in Oakland, California, a
fire at a former warehouse that had been converted to mixed-use properties with an assembly area contributed to the peak in fire deaths. Thirty-five fire deaths were reported to the NFIRS as a result of this incident. Excluding these 35 deaths from the 10-year trend analysis results in an overall 15 percent decrease in nonresidential building fire deaths.
ĵ An 8 percent increase in injuries. ĵ A 36 percent decrease in dollar loss. (Note: This overall constant
dollar-loss trend takes inflation into account by adjusting each year’s dollar loss to its equivalent 2016 value.)
70,000
80,000
90,000
100,000
110,000
120,000
TrendFires
2016201520142013201220112010200920082007
Estim
ate
of fi
res
Year
Nonresidential building fires
96,800
103,000
97,100
89,20084,900 85,400
92,800 93,700
99,500104,600
020406080
100120140160
2016201520142013201220112010200920082007
Estim
ate
of d
eath
s
Year
Nonresidential building fire deaths145
90100
90
8065 65 60
70
Fire deathsTrend
80
500
750
1,000
1,250
1,500
1,750
2,000
TrendFire injuries
2016201520142013201220112010200920082007
Estim
ate
of in
juri
es
Year
Nonresidential building fire injuries
1,550
1,275 1,250
1,5001,375
1,450 1,425
1,2001,325
1,100
1.0
2.0
3.0
4.0
5.0
2016201520142013201220112010200920082007Estim
ate
of d
olla
r lo
ss
($bi
llion
s)
Year
Nonresidential building fire dollar loss Adjusted to 2016 dollars
2.0
3.3
3.8
3.12.6 2.6 2.5
2.6 2.7
Fire dollar lossTrend
2.6
National Fire Data Center16825 S. Seton Ave.Emmitsburg, MD 21727www.usfa.fema.gov/data/statistics/
Nonresidential Building Fire Causes | May 2018Fire Estimate Summary
Nonresidential Building Fire Causes (2007-2016)
Fire estimate summaries present basic data on the size and status of the f ire problem in the United States as depicted through data reported to the U.S. Fire Administration’s (USFA’s) National Fire Incident Repor ting System. Each Fire Estimate Summar y addresses the size of the specific fire or fire-related issue, and highlights important trends in the data. Note: Fire estimate summaries are based on the USFA’s “National Estimates Methodology for Building Fires and Losses” (https://www.usfa.fema.gov/downloads/pdf/statistics/national_estimate_methodology.pdf). The USFA is committed to providing the best and most current information on the U.S. fire problem and, as a result, continually examines its data and methodology. Because of this commitment, changes to data collection strategies and estimate methodologies occur, causing estimates to change slightly over time. Previous estimates on specific issues (or similar issues) may have been a result of different methodologies or data definitions used and may not be directly comparable to current estimates.
National estimates for the leading causes of fires in nonresidential buildings for 2016, the most recent year for which data are available, are as follows:1. Cooking: 28,900 fires.2. Other unintentional, careless: 10,700 fires.3. Intentional: 9,000 fires.
Overall trends in the leading fire causes for the 10-year period of 2007 to 2016 show the following:
ĵ Cooking as the leading cause of nonresidential building fires for the 10-year period.
ĵ An 18 percent increase in nonresidential cooking fires. ĵ A 31 percent increase in nonresidential other unintentionally-
or carelessly-set fires. ĵ A 13 percent decrease in nonresidential intentionally-set fires.
Leading causes of nonresidential building fires (2007-2016)
Estim
ate
of fi
res
Year
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
2016201520142013201220112010200920082007
Heating
Electrical malfunction
Intentional
Other unintentional, careless
Cooking
National Fire Data Center16825 S. Seton Ave.Emmitsburg, MD 21727www.usfa.fema.gov/data/statistics/
Fire Estimate Summary
Nonresidential Building Fire Dollar-Loss Causes (2007-2016)
Nonresidential Building Fire Dollar-Loss Causes | May 2018
Fire estimate summaries present basic data on the size and status of the f ire problem in the United States as depicted through data reported to the U.S. Fire Administration’s (USFA’s) National Fire Incident Repor ting System. Each Fire Estimate Summar y addresses the size of the specific fire or fire-related issue, and highlights important trends in the data. Note: Fire estimate summaries are based on the USFA’s “National Estimates Methodology for Building Fires and Losses” (https://www.usfa.fema.gov/downloads/pdf/statistics/national_estimate_methodology.pdf). The USFA is committed to providing the best and most current information on the U.S. fire problem and, as a result, continually examines its data and methodology. Because of this commitment, changes to data collection strategies and estimate methodologies occur, causing estimates to change slightly over time. Previous estimates on specific issues (or similar issues) may have been a result of different methodologies or data definitions used and may not be directly comparable to current estimates.
National estimates for the leading causes of nonresidential building fire dollar loss for 2016, the most recent year for which data are available, are as follows:1. Other unintentional, careless: $380,300,000.2. Cause under investigation: $208,500,000.3. Electrical malfunction: $207,800,000.
Overall trends in the leading causes of fire dollar loss for the 10-year period of 2007 to 2016 show the following:
ĵ A 13 percent decrease in nonresidential other unintentionally- or carelessly-set fire dollar loss.
ĵ A 0.7 percent increase in cause under investigation fire dollar loss.
ĵ A 51 percent decrease in nonresidential electrical malfunction fire dollar loss.
Note: The overall constant dollar-loss trends take inflation into account by adjusting each year’s dollar loss to its equivalent 2016 value.
Leading causes of nonresidential building fire dollar loss (2007-2016)Adjusted to 2016 dollars
Estim
ate
of d
olla
r lo
ss ($
mill
ions
)
Year
0.0
100.0
200.0
300.0
400.0
500.0
600.0
700.0
Other unintentional, careless
Cause under investigation
Electrical malfunction
Exposure
Other equipment
Intentional
Other heat
Open flame
Equipment malfunction
2016201520142013201220112010200920082007
National Fire Data Center16825 S. Seton Ave.Emmitsburg, MD 21727www.usfa.fema.gov/data/statistics/
Nonresidential Building Cooking Fire Trends | May 2018Fire Estimate Summary
Nonresidential Building Cooking Fire Trends (2007-2016)
Fire estimate summaries present basic data on the size and status of the f ire problem in the United States as depicted through data reported to the U.S. Fire Administration’s (USFA’s) National Fire Incident Reporting System (NFIRS). Each Fire Estimate Summary addresses the size of the specific fire or fire-related issue, and highlights important trends in the data. Note: Fire estimate summaries are based on the USFA’s “National Estimates Methodology for Building Fires and Losses” (https://www.usfa.fema.gov/downloads/pdf/statistics/national_estimate_methodology.pdf). The USFA is committed to providing the best and most current information on the U.S. fire problem and, as a result, continually examines its data and methodology. Because of this commitment, changes to data collection strategies and estimate methodologies occur, causing estimates to change slightly over time. Previous estimates on specific issues (or similar issues) may have been a result of different methodologies or data definitions used and may not be directly comparable to current estimates.
National estimates for nonresidential building cooking fires and loss for 2016, the most recent year for which data are available, are as follows:
ĵ Fires: 28,900. ĵ Dollar loss: $41,300,000.
Overall trends for nonresidential building cooking fires and loss for the 10-year period of 2007 to 2016 show the following:
ĵ An 18 percent increase in fires. ĵ A 6 percent decrease in dollar loss. (Note: This overall
constant dollar-loss trend takes inflation into account by adjusting each year’s dollar loss to its equivalent 2016 value.)
Deaths and injuries by individual causes are not shown, as small numbers of nonresidential building casualties are reported to the NFIRS, and a large number of the fires that caused these casualties have insufficient information to determine fire cause.
Estim
ate
of fi
res
Year
Nonresidential building cooking fires
23,000
24,000
25,000
26,000
27,000
28,000
29,000
30,000
31,000
32,000
2016201520142013201220112010200920082007
FiresTrend
28,900
26,400
25,900
26,800
24,100
27,200
30,900
27,400
29,000
24,200
Estim
ate
of d
olla
r lo
ss
($m
illio
ns)
Year
Nonresidential building cooking fire dollar loss Adjusted to 2016 dollars
20.0
30.0
40.0
50.0
60.0
70.0
80.0
2016201520142013201220112010200920082007
Fire dollar lossTrend
41.3
48.9
57.0
71.1
45.1 45.3
70.0
53.9
57.3
40.8
National Fire Data Center16825 S. Seton Ave.Emmitsburg, MD 21727www.usfa.fema.gov/data/statistics/
Fire Estimate Summary
Nonresidential Building Other Unintentional, Careless Fire Trends (2007-2016)
Nonresidential Building Other Unintentional, Careless Fire Trends | May 2018
Fire Estimate Summaries present basic data on the size and status of the f ire problem in the United States as depicted through data reported to the U.S. Fire Administration’s (USFA’s) National Fire Incident Repor ting System. Each Fire Estimate Summar y addresses the size of the specific fire or fire-related issue and highlights important trends in the data. Note: Fire Estimate Summaries are based on the USFA’s “National Estimates Methodology for Building Fires and Losses” (http://www.usfa.fema.gov/downloads/pdf/statistics/national_estimate_methodology.pdf). The USFA is committed to providing the best and most current information on the U.S. fire problem and, as a result, continually examines its data and methodology. Because of this commitment, changes to data collection strategies and estimate methodologies occur, causing estimates to change slightly over time. Previous estimates on specific issues (or similar issues) may have been a result of different methodologies or data definitions used and may not be directly comparable to current estimates.
National est imates for nonresidential building other unintentional, careless fires and loss for 2016, the most recent year for which data are available, are as follows:
ĵ Fires: 10,700. ĵ Dollar loss: $380,300,000.
Overall trends for nonresidential building other unintentional, careless fires and loss for the 10-year period of 2007 to 2016 show the following:
ĵ A 31 percent increase in fires. ĵ A 13 percent decrease in dollar loss. The 2008 dollar-loss
peak was caused by a $50,400,000 Virginia Beach, Virginia, warehouse fire. Additionally, a $100,000,000 West, Texas, fertilizer plant fire and a $40,000,000 Burlington, Wisconsin, manufacturing plant fire contributed to the 2013 dollar-loss peak. A $31,000,000 reported fire in a Los Angeles, California, religious property contributed to the 2015 dollar-loss peak. (Note: This overall constant dollar-loss trend takes inflation into account by adjusting each year’s dollar loss to its equivalent 2016 value.)
Deaths and injuries by individual causes are not shown, as small numbers of nonresidential building casualties are reported to the NFIRS, and a large number of the fires that caused these casualties have insufficient information to determine fire cause.
Estim
ate
of fi
res
Year
Nonresidential building other unintentional, careless fires
7,000
7,500
8,000
8,500
9,000
9,500
10,000
10,500
11,000
11,500
2016201520142013201220112010200920082007
FiresTrend 10,700
8,800
8,200
8,400
8,400
9,100
10,900
8,600
10,000
8,500
Estim
ate
of d
olla
r lo
ss
($m
illio
ns)
Year
Nonresidential building other unintentional, careless fire dollar loss
Adjusted to 2016 dollars
0.0
100.0
200.0
300.0
400.0
500.0
600.0
700.0
2016201520142013201220112010200920082007
Fire dollar lossTrend
380.3435.5
543.8
606.4
296.1
347.8
537.7580.7
391.4411.4
National Fire Data Center16825 S. Seton Ave.Emmitsburg, MD 21727www.usfa.fema.gov/data/statistics/
Fire Estimate Summary
Nonresidential Building Heating Fire Trends (2007-2016)
Nonresidential Building Heating Fire Trends | May 2018
Fire estimate summaries present basic data on the size and status of the f ire problem in the United States as depicted through data reported to the U.S. Fire Administration’s (USFA’s) National Fire Incident Reporting System (NFIRS). Each Fire Estimate Summary addresses the size of the specific fire or fire-related issue, and highlights important trends in the data. Note: Fire estimate summaries are based on the USFA’s “National Estimates Methodology for Building Fires and Losses” (https://www.usfa.fema.gov/downloads/pdf/statistics/national_estimate_methodology.pdf). The USFA is committed to providing the best and most current information on the U.S. fire problem and, as a result, continually examines its data and methodology. Because of this commitment, changes to data collection strategies and estimate methodologies occur, causing estimates to change slightly over time. Previous estimates on specific issues (or similar issues) may have been a result of different methodologies or data definitions used and may not be directly comparable to current estimates.
National estimates for nonresidential building heating fires and loss for 2016, the most recent year for which data are available, are as follows:
ĵ Fires: 7,100. ĵ Dollar loss: $98,200,000.
Overall trends for nonresidential building heating fires and loss for the 10-year period of 2007 to 2016 show the following:
ĵ A 1 percent decrease in fires. ĵ A 3 percent decrease in dollar loss. (Note: This overall
constant dollar-loss trend takes inflation into account by adjusting each year’s dollar loss to its equivalent 2016 value.)
Deaths and injuries by individual causes are not shown, as small numbers of nonresidential building casualties are reported to the NFIRS, and a large number of the fires that caused these casualties have insufficient information to determine fire cause.
Estim
ate
of fi
res
Year
Nonresidential building heating fires
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
2016201520142013201220112010200920082007
FiresTrend
7,100
8,500 8,200
7,700
6,200
7,4007,900
8,4009,000
6,700
Estim
ate
of d
olla
r lo
ss
($m
illio
ns)
Year
Nonresidential building heating fire dollar loss Adjusted to 2016 dollars
0.0
50.0
100.0
150.0
200.0
250.0
300.0
2016201520142013201220112010200920082007
Fire dollar lossTrend
98.284.5
176.6 184.2
49.9
71.0
121.8
204.1
105.3
59.2
National Fire Data Center16825 S. Seton Ave.Emmitsburg, MD 21727www.usfa.fema.gov/data/statistics/
Fire Estimate Summary
Nonresidential Building Intentional Fire Trends (2007-2016)
Nonresidential Building Intentional Fire Trends | May 2018
Fire estimate summaries present basic data on the size and status of the f ire problem in the United States as depicted through data reported to the U.S. Fire Administration’s (USFA’s) National Fire Incident Reporting System (NFIRS). Each Fire Estimate Summary addresses the size of the specific fire or fire-related issue, and highlights important trends in the data. Note: Fire estimate summaries are based on the USFA’s “National Estimates Methodology for Building Fires and Losses” (https://www.usfa.fema.gov/downloads/pdf/statistics/national_estimate_methodology.pdf). The USFA is committed to providing the best and most current information on the U.S. fire problem and, as a result, continually examines its data and methodology. Because of this commitment, changes to data collection strategies and estimate methodologies occur, causing estimates to change slightly over time. Previous estimates on specific issues (or similar issues) may have been a result of different methodologies or data definitions used and may not be directly comparable to current estimates.
National estimates for nonresidential building intentional fires and loss for 2016, the most recent year for which data are available, are as follows:
ĵ Fires: 9,000. ĵ Dollar loss: $145,200,000.
Overall trends for nonresidential building intentional fires and loss for the 10-year period of 2007 to 2016 show the following:
ĵ A 13 percent decrease in fires. ĵ The peak in 2007, caused by a $40,000,000 Bartow, Florida,
manufacturing fire, followed by the 2011 and 2013 to 2016 lows, contributed to a 73 percent decrease in dollar loss. (Note: This overall constant dollar-loss trend takes inflation into account by adjusting each year’s dollar loss to its equivalent 2016 value.)
Deaths and injuries by individual causes are not shown, as small numbers of nonresidential building casualties are reported to the NFIRS, and a large number of the fires that caused these casualties have insufficient information to determine fire cause.
Estim
ate
of fi
res
Year
Nonresidential building intentional fires
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
2016201520142013201220112010200920082007
FiresTrend
9,000
11,400
10,1009,500
8,900
9,700 9,800
9,100 8,8008,500
Estim
ate
of d
olla
r lo
ss
($m
illio
ns)
Year
Nonresidential building intentional fire dollar loss Adjusted to 2016 dollars
0.0
100.0
200.0
300.0
400.0
500.0
600.0
2016201520142013201220112010200920082007
Fire dollar lossTrend
145.2
506.3
388.9346.9
197.1
281.2
196.0
196.1 188.3
406.8
National Fire Data Center16825 S. Seton Ave.Emmitsburg, MD 21727www.usfa.fema.gov/data/statistics/
Nonresidential Building Cause Under Investigation Fire Trends | May 2018Fire Estimate Summary
Nonresidential Building Cause Under Investigation Fire Trends (2007-2016)
Fire estimate summaries present basic data on the size and status of the f ire problem in the United States as depicted through data reported to the U.S. Fire Administration’s (USFA’s) National Fire Incident Reporting System (NFIRS). Each Fire Estimate Summary addresses the size of the specific fire or fire-related issue, and highlights important trends in the data. Note: Fire estimate summaries are based on the USFA’s “National Estimates Methodology for Building Fires and Losses” (https://www.usfa.fema.gov/downloads/pdf/statistics/national_estimate_methodology.pdf). The USFA is committed to providing the best and most current information on the U.S. fire problem and, as a result, continually examines its data and methodology. Because of this commitment, changes to data collection strategies and estimate methodologies occur, causing estimates to change slightly over time. Previous estimates on specific issues (or similar issues) may have been a result of different methodologies or data definitions used and may not be directly comparable to current estimates.
National estimates for nonresidential building cause under investigation fires and loss for 2016, the most recent year for which data are available, are as follows:
ĵ Fires: 1,600. ĵ Dollar loss: $208,500,000.
Overall trends for nonresidential building cause under investigation fires and loss for the 10-year period of 2007 to 2016 show the following:
ĵ A 49 percent increase in fires. ĵ A 0.7 percent increase in dollar loss. (Note: This overall
constant dollar-loss trend takes inflation into account by adjusting each year’s dollar loss to its equivalent 2016 value.)
Deaths and injuries by individual causes are not shown, as small numbers of nonresidential building casualties are reported to the NFIRS, and a large number of the fires that caused these casualties have insufficient information to determine fire cause.
0
500
1,000
1,500
2,000
2,500
3,000
TrendFires
2016201520142013201220112010200920082007
Estim
ate
of fi
res
Year
Nonresidential building cause under investigation fires
1,200 1,200 1,200 1,200
1,100
1,400
1,300
1,600 1,700 1,600
0.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
400.0
2016201520142013201220112010200920082007
Fire dollar lossTrend
Estim
ate
of d
olla
r lo
ss
($m
illio
ns)
Year
Nonresidential building cause under investigationfire dollar loss
Adjusted to 2016 dollars
179.9
221.8
146.1
204.0
145.6 142.8
206.6
171.6
208.5
148.3
National Fire Data Center16825 S. Seton Ave.Emmitsburg, MD 21727www.usfa.fema.gov/data/statistics/
Nonresidential Building Electrical Malfunction Fire Trends | May 2018Fire Estimate Summary
Nonresidential Building Electrical Malfunction Fire Trends (2007-2016)
Fire estimate summaries present basic data on the size and status of the f ire problem in the United States as depicted through data reported to the U.S. Fire Administration’s (USFA’s) National Fire Incident Reporting System (NFIRS). Each Fire Estimate Summary addresses the size of the specific fire or fire-related issue, and highlights important trends in the data. Note: Fire estimate summaries are based on the USFA’s “National Estimates Methodology for Building Fires and Losses” (https://www.usfa.fema.gov/downloads/pdf/statistics/national_estimate_methodology.pdf). The USFA is committed to providing the best and most current information on the U.S. fire problem and, as a result, continually examines its data and methodology. Because of this commitment, changes to data collection strategies and estimate methodologies occur, causing estimates to change slightly over time. Previous estimates on specific issues (or similar issues) may have been a result of different methodologies or data definitions used and may not be directly comparable to current estimates.
National estimates for nonresidential building electrical malfunction fires and loss for 2016, the most recent year for which data are available, are as follows:
ĵ Fires: 7,100. ĵ Dollar loss: $207,800,000.
Overall trends for nonresidential building electrical malfunction fires and loss for the 10-year period of 2007 to 2016 show the following:
ĵ A 21 percent decrease in fires. ĵ A continued decline from 2009 to 2011 and a 2016 low
contributing to an overall 51 percent decrease in dollar loss. (Note: This overall constant dollar-loss trend takes inflation into account by adjusting each year’s dollar loss to its equivalent 2016 value.)
Deaths and injuries by individual causes are not shown, as small numbers of nonresidential building casualties are reported to the NFIRS, and a large number of the fires that caused these casualties have insufficient information to determine fire cause.
Estim
ate
of fi
res
Year
0
2,000
4,000
6,000
8,000
10,000
12,000
2016201520142013201220112010200920082007
FiresTrend
7,100
9,700
7,800
9,400
7,800
6,400
8,200
7,400
8,000
7,900
Nonresidential building electrical malfunction fires
Estim
ate
of d
olla
r lo
ss
($m
illio
ns)
Year
Nonresidential building electrical malfunctionfire dollar loss
Adjusted to 2016 dollars
0.0
100.0
200.0
300.0
400.0
500.0
600.0
700.0
2016201520142013201220112010200920082007
Fire dollar lossTrend
207.8
467.0
504.3
616.9
322.8 328.9
394.6384.5
298.9
376.4
National Fire Data Center16825 S. Seton Ave.Emmitsburg, MD 21727www.usfa.fema.gov/data/statistics/