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Annual Report 2018
Tokyo Fire Department
Annual Report 2018
Table of Contents
Fires 1
Operations 9
EMS 13
Community Risk Reduction 24
Fire Prevention 32
Organization 43
The Annual Report 2018 is a review of the Tokyo Fire Department’s activities in 2017.
1. Fires
Chart 1-1. Number of Fires (2017)
2017 From 2016
Building Fires* 2,837 +71
Wildland Fires 3 +2
Vehicle Fires 216 -59
Ship Fires 0 -3
Aircraft Fires 0 -1
Others 1,148 +214
Fires in Extraterritorial Areas 1 -1
TOTAL 4,205 +223
*Building fires contain structure fires and other fires in buildings.
Chart 1-2. Fires and Burned Areas 2008-2017
5,7635,601
5,0885,341
5,089 5,191
4,805
4,433
3,982 4,205
34,870
30,679
25,722
26,435
25,079
25,674
23,478
20,75017,529
20,719
15,000
20,000
25,000
30,000
35,000
40,000
3,500
4,000
4,500
5,000
5,500
6,000
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Bu
rne
d A
reas (
m2)
Fire
s
Fires
Burned Areas
FIRES
1
Chart 1-3. Number of Fires by Municipality (23 Wards Area) 2013-2017
Ranking 2013 2014 2015 2016 2017
1 Adachi 309 Adachi 272 Setagaya 226 Minato 217 Adachi 235
2 Edogawa 249 Shinjuku 249 Ota 209 Adachi 188 Minato 207
3 Ota 247 Ota 228 Adachi 205 Shinjuku 186 Ota 204
4 Shinjuku 228 Koto 226 Shinjuku 202 Edogawa 177 Shinjuku 198
5 Setagaya 209 Edogawa 225 Minato 199 Ota 176 Setagaya 184
Chart 1-4. Number of Fires by Municipality (Tama Area) 2013-2017
Ranking 2013 2014 2015 2016 2017
1 Hachioji 226 Hachioji 199 Hachioji 185 Hachioji 143 Hachioji 176
2 Machida 121 Machida 125 Machida 110 Machida 116 Machida 94
3 Tachikawa 92 Fuchu 79 Fuchu 78 Fuchu 76 Tachikawa 79
4 Chofu 88 Tachikawa 64 Chofu 66 Chofu 49 Chofu 65
5 Fuchu 82 Chofu 61 Tachikawa 60 Tachikawa,
Musashino 44 Fuchu 64
Chart 1-5. Number of Fires by Municipality (2017)
Oku
tam
a (T
) 2
Ome (C) 32
Mizuho
(V) 9
Adachi (W) 235
Musashi
mura
yam
a (C
) 35
Hig
ashiy
am
ato
(C) 2
1
Higa shi mura yama (C) 38
Kiy
ose
(C) 2
1
Itabashi
(W) 159
Kita (W) 105
Kats
ush
ika
(W
) 134
Hamura (C) 14
Hin
od
e
(T) 4
Hig
ashik
uru
me
© 2
8
N
ishi
tokyo (C
) 50 Nerima
(W) 158
Ara
ka
wa
(W) 5
3
Fussa
(C)16 Akishima
(C) 35
Tachi
kawa
(C)
79
Toshima (W) 100
Bunkyo (W) 64
Ed
og
aw
a (W
) 1
72
Ko
da
ira
(C) 4
5
Mu
sa
shin
o (C
) 38
Akiruno(C)22
Hino
(C) 41
Nakano
(C) 109
Ta
ito (W
)
10
6 Koku
bunji
(C)
27
Ko
ga
nei
(C) 3
3
Mita
ka
(C) 4
0
Suginami (W) 133
Shinjuku (W) 198
Chiyo da (W) 129 Hinohara
(V) 0
Hachioji (C) 176
Sum
ida
(W
) 60
Kuni
tachi
(C)
15
Shibuya
(W) 130
Chuo
(W
) 133
Fuchu
(C) 64
Chofu
(C) 65 Setagaya
(W) 184
Minato (W) 207
Meguro
(W) 64
Machida
(C) 94
Tama
(C)
31
Kom
ae
(C) 3
1
Shina gawa(W)108
Koto(W)
154 0-9 Ota
(W) 204
10-49
50-99 W Ward
100-199 C City
200- T Town
V Village
2
2. Fire Deaths
Chart 2-1. Number of Fire Deaths by Age Group (2017)
2017 From 2016
Age 65 and Over 45 -1
Ages 0-64 20 -2
Suicides 14 -1
TOTAL 79 -4
Older adults (Age 65 and over) suffered almost 70% of all fire deaths.
Chart 2-2. Number of Fire Deaths by Age Group 2008-2017
3. Fire Injuries
Chart 3. Number of Fire Injuries by Severity (2017)
2017 From 2016
Critical Fire Injuries 25 +4
Serious Fire Injuries 83 -16
Moderate Fire Injuries 200 +9
Minor Fire Injuries 450 -92
TOTAL 758 -95
6250 52 42
60 5364
53 46 45
3948 37
28
3424
14 2622 20
27 31
16
14
21
10 16 1615 14
128 129
105
84
115
8794 95
83 79
0
20
40
60
80
100
120
140
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Age 65 and OverAges 0-64Suicides
3
4. Fire Causes
Chart 4-1. Fire Causes (2017)
Since 1995, the order of the top three fire causes (arson, cigarettes, and gas stoves) has remained
the same.
Chart 4-2. Leading Fire Causes 2008-2017
Arson (incl. Suspected Arson)89621.3%
Cigarettes69116.4%
Gas Stoves3608.6%
Electric Heaters1002.4%
Large Gas Burners 952.3%
Others*2
2,06249.0%
1,809 1,835 1,534 1,657 1,507 1,622 1,381 1,027 881 896
821 769771 794
709 737710
664586 691
583 544450 427
441 418415
457363 360
2,550 2,453
2,3332,463
2,432 2,4142,299
2,2852,151 2,258
5,763 5,601
5,0885,341
5,089 5,1914,805
4,4333,982
4,205
0
1,000
2,000
3,000
4,000
5,000
6,000
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
ArsonCigarettesGas StovesOthers
*1. One extraterritorial fire is excluded.
*2. Others include codes, plugs, outlets, etc.
Number
of Fires
4,204*1
4
5. Structure Fires
Structure Fires
Chart 5-1. Number of Structure Fires 2008-2017
In 2017, 64.9% of all fires are structural fires. (A category of structure fires is different from that of
building fires. The origin of structure fires are structural components.)
Chart 5-2. Number of Structure Fires by Type of Place 2013-2017
2013 2014 2015 2016 2017
Residential Fires 1,777 1,694 1,675 1,497 1,597
Houses Fires 680 634 615 539 579 Apartment Fires 1,097 1,060 1,060 958 1,018
Restaurant Fires 311 296 339 345 318
Office Fires 130 123 121 126 151
Department Store Fires 130 113 87 103 110
Factory Fires 113 83 95 89 84
Hotel Fires 25 33 26 37 36
School Fires 38 27 29 33 31
Hospital Fires 19 13 20 17 24
Station Fires 32 22 18 21 14
TOTAL 3,127 2,878 2,827 2,681 2,730
3,6053,341
3,093 3,098 3,206 3,1272,878 2,827
2,681 2,730
5,7635,601
5,0885,341
5,089 5,191
4,805
4,433
3,9824,205
2,500
3,000
3,500
4,000
4,500
5,000
5,500
6,000
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Structure FiresFires
5
Residential Fires
Chart 5-3. Number of Residential Fires 2008-2017
In 2017, 58.5% of all structure fires and 38.0% of all fires are residential fires.
Chart 5-4. Residential Fire Causes (2017)
3,6053,341
3,093 3,098 3,206 3,1272,878 2,827 2,681 2,730
2,243 2,0991,869 1,864 1,916 1,777 1,694 1,675
1,497 1,597
5,7635,601
5,0885,341
5,089 5,1914,805
4,433
3,9824,205
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
5,500
6,000
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Structure FiresResidential FiresFires
Gas Stoves37223.3%
Cigarettes26216.4%
Arson17110.7%
Heaters1137.1%
Codes462.9%
Candles432.7%
Lighters130.8%
Playing with Fire110.7%
Others45028.2%
Unknown1167.2%
Number of
Residential
Fires
1,597
6
Chart 5-5. Residential Fire Deaths 2008-2017
In 2017, 90.2% of all fire deaths (excluding suicides) are
residential fire deaths. Older adults (Age 65 and over) suffered
more than 71.2% of residential fire deaths.
Chart 5-6. Breakdown of Residential Fire Deaths (2017)
Men Women TOTAL
Ages 0-5 0 0 0 (0%)
Ages 6-19 0 1 1 (1.7%)
Ages 20-64 9 7 16 (27.1%)
Ages 65 and Over 24 18 42 (71.2%)
TOTAL 33 (55.9%) 26 (44.1%) 59 (100%)
10198
89
70
94
77 78 79
6865
98
8783
61
85
72 71 69
61 5960
48 49
40
57
49
58
50
44 4230
40
50
60
70
80
90
100
110
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Fire Deaths (Excluding Suicides)Residential Fire DeathsResidential Fire Deaths (Age 65 and Over)
7
Chart 5-7. Fire Causes of Residential Fire Deaths (2017)
6. Residential Fire Alarms
Chart 6. Penetration Rate for Residential Fire Alarms 2006-2017
The penetration rate for fire alarms in Tokyo was 19.3% in 2006
when the installation of residential fire alarms became
mandatory, and then it rose sharply to 79.4% in 2010.
Cigarettes1830.5%
Heaters813.6%
Stoves46.8%
Codes23.4%
Others35.1%
Unknown2440.7%
19.3%
24.3%
33.8%
48.1%
79.4% 80.6%79.3%
81.5%79.2%
87.3%88.5%
86.9%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Number of
Residential
Fire Deaths
59
8
1. Fire Responses
Chart 1-1. Number of Responses to Fire Incidents (2017)
2017 From 2016
Response to Fire Incidents 7,434 +42
Total Responding Apparatus 66,664 -1,969
Total Responding Firefighters 277,723 +7,631
Average Operating Hours Per Response 1 hour 7 minutes -3 minutes
The average number of dispatched apparatus per fire response was nine with 37 firefighters.
Chart 1-2. Number of People Rescued from Fires (2017)
2017 From 2016
People Rescued From Fires by Firefighters 165 +38
People Given Evacuation Assistance by Firefighters 395 +282
The number of people given evacuation assistance by firefighters increased largely because of
railway and hotel fires.
2. Rescue Responses
Chart 2-1. Number of Responses to Rescue Incidents (2017)
2017 From 2016
Response to Rescue Incidents 21,984 +4
People Rescued by Firefighters 18,568 -390
Total Responding Apparatus 69,462 -576
Total Responding Firefighters (Including DMAT*) 281,640 +2,896
*DMAT (Disaster Medical Assistance Team) is a
medical unit of doctors and nurses responding directly
to disaster sites to provide medical treatment.
OPERATIONS
9
Chart 2-2. Breakdown of Rescue Responses by Incident Type (2017)
Chart 2-3. Breakdown of Rescued People by Incident Type (2017)
Falls284
Water Accidents194
Mountain Accidents166
Machines157
Fires123
Gases38
Collpases8
Others919
Fires165
Falls156
Moutain Accidents153
Water Accidents121
Machines89
Gasses30
Collapses6
Others544
Number of Rescued People 18,568
Buildingsand Other Structures15,61771%
Traffic4,47820%
Others1,8899%
Number of Rescue Responses 21,984
Buildingsand Other Structures11,41060%
Traffic5,89432%
Others1,2648%
10
3. Hazard Removal Responses
Chart 3-1. Number of Responses to Hazard Removal (2017)
2017 From 2016
Response to Hazard Removal 5,658 -115
Total Responding Apparatus 13,921 -334
Total Responding Firefighters 61,663 -2,762
Hazard removal is an operation of preventing and mitigating further damage when gasoline and
chemicals (hazardous and poisonous materials, etc.) leak and/or natural disasters occur.
Chart 3-2. Breakdown of Hazard Removal Responses by Activity (2017)
4. Emergency Confirmation Responses
Chart 4-1. Number of Responses to Emergency Confirmation (2017)
2017 From 2016
Responses to Emergency Confirmation 8,471 +540
Total Responding Apparatus 13,838 +632
Total Responding Firefighters 64,762 +2,720
Emergency confirmation is an operation of responding to suspicious fire/smoke, fire alarms, etc. to
confirm if there is a hazard.
Hazardous Materials2,102
Gases713
Electricity243
Fires223
Poisons119
Odors100
Radioactive Materials1
Hazard Removals3,50163%
Patrols2414%
Emergency Measures1863%
Others1,73030%
Number of Hazard Removal Responses 5,658
11
Chart 4-2. Breakdown of Emergency Confirmation Responses by Cause (2017)
5. PA Responses
Chart 5-1. Number of PA Responses (2017)
2017 From 2016
PA Responses 155,000 -3,467
Total Responding Apparatus 156,142 -3,826
PA (Pumper and Ambulance) responses are collaborative EMS operations of fire engine units.
When required, fire engines respond ahead of ambulances to ambulance calls, and provide rescue
and first aid for patients together with ambulance units.
Chart 5-2. Breakdown of PA Responses by Activity (2017)
Alarms7,59890%
Suspicious Smoke5136%
Others3604%
Number of
Emergency
Confirmation
Responses
8,471
Lifesaving Cares123,13879%
Transport Assitance 22,59115%
Downtown Operations3,4812%
Responses to Neighbors3,0962%
Assault Cases1,5341% Assistance for Delayed
Case 1,1601%
Number of PA Responses 155,000
12
1. Ambulance Runs
Chart 1-1. Number of Ambulance Runs 2013-2017
2013 2014 2015 2016 2017
Ambulance Runs 749,032 757,554 759,802 777,382 785,184
Runs Per Day 2,052 2,075 2,082 2,124 2,151
Runs Per Day Per Ambulance 8.7 8.8 8.6 8.5 8.5
Runs Per Ten Thousand Population 572 575 571 580 603
Chart 1-2. Breakdown of Ambulance Runs by Incident Type (2017)
Transport between Hospitals 44,6475.7%
Assaults 6,9240.9%
Sports Accidents 5,3300.7%
Self Inflicted Acts5,023 0.6%
Labor Accidents 4,965 0.6%
Fires 3,274 0.4%
Water Accidents876 0.1%
Resource Transport542 0.1%
Doctor Transport190 0.0%
Natural Disaster Accident 180.0%
Others 8,6801.1%
Acute Illness515,46665.6%
Injuries138,64517.7% Traffic
Accidents50,6046.4%
Others80,46910.2%
Number of
Ambulance
Runs
785,184
EMS
13
Chart 1-3. Flow of Average Ambulance Response (2017)
Departure
from
Hospital
Arrival
at
Patient
Arrival
at
Hospital
Handover
to
Doctor
Dispatch Transport Return
7m19s 20m50s 10m17s 32m25s 20m31s
2.4km 3.9km 4.3km
38m26s 8m12s 24m13s
91m22s 10.6km
Compared to the previous year, the average operating time and distance was shortened by 2
minutes 19 seconds and 0.2 km.
Chart 1-4. Number of Ambulance Runs by Month (2017)
The number of ambulance runs increases in December and January due to increase in the number
of influenza patients and acute alcoholism patients (December and January, the end and beginning
of a year, is a party season) and also in July for heatstroke patients.
72,056
62,410
64,740
62,057
62,852
61,579
71,566
66,796
61,554
64,632
62,600
72,324
60,000
62,000
64,000
66,000
68,000
70,000
72,000
74,000
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2,151
2,334
2,085
2,052
2,155
2,309
2,053
2,027
2,069
2,088
2,229
2,324
1,800 2,000 2,200 2,400
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
Average Number of Responses per Day
14
Chart 1-5. Number of Ambulance Runs by Hour (2017)
Chart 1-6. Top Five Ambulance Runs by Station (2017)
Ranking Station (in 23 Wards) Runs Station (in Tama) Runs
1 Shinjuku 2,491 Tachikawa 416
2 Tokyo 1,641 Hachioji 369
3 Ikebukuro 1,387 Machida 341
4 Shibuya 900 Mitaka 201
5 Ueno 781 Kichijoji 191
Chart 1-7. Top Five Ambulance Runs by Municipality (2017)
Ranking Municipality (in 23 Wards) Runs Municipality (in Tama) Runs
1 Adachi 42,956 Hachioji 29,751
2 Setagaya 42,849 Machida 21,074
3 Ota 39,787 Fuchu 12,550
4 Edogawa 36,929 Tachikawa 11,831
5 Nerima 35,639 Chofu 11,100
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
50,000M
idn
ight
2A
M
4A
M
6A
M
8A
M
10A
M
No
on
2P
M
4P
M
6P
M
8P
M
10P
M
3.3%
3.8%
4.2%
4.5%
4.7%
5.0%
5.2%
5.1%
5.1%
5.0%
5.1%
5.2%
5.3%
5.4%
5.7%
5.4%
4.6%
3.5%
2.7%
2.2%
2.0%
2.1%
2.3%
2.7%
1.5% 3.5% 5.5%
Midnight
10PM
8PM
6PM
4PM
2PM
Noon
10AM
8AM
6AM
4AM
2AM
Hourly Percentage
15
Chart 1-8. Recent Top 10 Ambulance Runs
Ranking Date Runs Weather Conditions
1 Tue., December 30, 2014 2,806 1.8 ℃ (Daily Low)
2 Sat., December 17, 2016 2,800 0 ℃ (Daily Low)
3 Sat., July 24, 2010 2,766 35.8 ℃ (Daily High)
4 Sun., July 26, 2015 2,734 35.8 ℃ (Daily High)
5 Tue., January 15, 2013 2,699 0.8 ℃ (Daily High), 8cm snow
6 Sat., December 27, 2014 2,685 1.8 ℃ (Daily High)
7 Fri., July 23, 2010 2,683 35.7 ℃ (Daily High)
8 Sat., August 1, 2015 2,682 35.3℃ (Daily High)
9 Sat., August 10, 2013 2,668 37.4 ℃ (Daily High)
10 Fri., July 12, 2013 2,665 34.9 ℃ (Daily High)
In 2017, the daily highest number of ambulance runs was recorded on December 28 with 2,641 runs.
2. Patient Transport
Patient Transport
Chart 2-1. Number of Patients Transported by Ambulances 2013-2017
1,381
1,192
974945 950
655,925
664,629
673,145
691,423
698,928
640,000
650,000
660,000
670,000
680,000
690,000
700,000
800
900
1,000
1,100
1,200
1,300
1,400
1,500
2013 2014 2015 2016 2017
Tra
nsp
ort
ed
No
t T
ransp
ort
ed
Given First Aid but Not TransportedTransported
16
Chart 2-2. Breakdown of Transported Patients by Severity (2017)
Chart 2-3. Breakdown of Transported Patients by Age Group (2017)
Minor378,13454.1%
Moderate271,46638.8%
Serious30,0114.3%
Critical13,5681.9%
Dead5,7490.8%
0-2 3-5 6-14 15-19 20-29 30-39 40-49 50-59 60-64 65-69 70-74 75-
Men 13,393 6,918 10,647 7,659 29,094 26,768 34,589 37,621 19,623 29,036 29,389 114,065
Women 10,816 4,415 6,140 7,447 32,929 26,550 26,470 24,675 11,440 18,343 22,138 148,763
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
MenWomen
Number of
Transported
Patients
698,928
17
Chart 2-4. Number of Transported Older Adult Patients 2013-2017
In 2017, 51.8% of all transported patients were aged 65 and over and 36.7 % of all transported
patients were aged 75 and over. The rate of increase for transported patients aged 75 and over
has significantly increased for the recent five years.
Cardiac Arrest Patient Transport
Chart 2-5. Number of Transported Cardiac Arrest Patients 2013-2017
TOTAL
Witnessed Not Witnessed Witnessed by Citizens
Witnessed by
Citizens at Home
2013 12,763 5,555 (8.6%) 4,665 (8.1%) 2,903 (4.6%) 7,208 (1.6%)
2014 12,852 5,774 (9.5%) 4,867 (8.9%) 2,947 (5.9%) 7,078 (1.0%)
2015 12,365 5,374 (10.1%) 4,522 (9.5%) 2,707 (4.8%) 6,991 (1.2%)
2016 12,350 5,650 (9.8%) 4,821 (9.4%) 2,874 (4.9%) 6,700 (1.0%)
2017 12,521 5,525 (10.4%) 4,680 (9.7%) 2,612 (5.6%) 6,996 (1.3%)
*The numbers in brackets are one-month survival rates.
316,217325,526
335,564
346,703361,734
221,116228,232
235,502246,301
262,828
339,708 339,103 337,581
344,720 337,194
210,000
230,000
250,000
270,000
290,000
310,000
330,000
350,000
370,000
2013 2014 2015 2016 2017
Age 65 and OverAge 75 and OverAges 0-64
18
Chart 2-6. Survival Rates of Transported Cardiac Arrest Patients (2017)
Cardiac Arrest Patients
12,521 (100%) Defibr- illation Yes
628 (29.0%) 1,253
10.0% 666 5.3%
274 43.6%
220 35.0% First
Aid Yes
2,168 (46.3%)
529
24.4% 332 15.3%
Defibr-
illation No
1,540 (71.0%) 255 16.6%
112 7.3%
By Citizens
4,680 (84.7%)
834
17.8% 453 9.7%
Defibr-
illation Yes
397 (15.8%) 94 23.7%
55 13.9% First
Aid No
2,512 (53.7%)
305
12.1% 121 4.8%
Witne- ssed
5,525 (44.1%)
Defibr- illation No
2,115 (84.2%) 1,053
19.1% 576 10.4%
211 10.0%
66 31.0%
Defibr-
illation Yes
154 (18.2%) 79 10.0%
57 3.1%
By Fire Fighters
845 (15.3%)
219
25.9% 123 14.6%
Defibr-
illation No
691 (81.8%) 140 20.3%
66 9.6%
Defibr-
illation Yes
153 (7.3%) 28 18.3%
20 13.1% First
Aid Yes
2,091 (29.9%)
96
4.6% 45 2.2%
Defibr-
illation No
1,938 (92.7%) 68 3.5%
25 1.3% Not
Witne- ssed
6,996 (55.9%)
200
2.9% 90 1.3%
Defibr-
illation Yes
234 (4.8%) 21 9.0%
17 7.3% First
Aid No.
4,905 (70.1%)
104
2.1% 45 0.9%
Defibr-
illation No
4,671 (95.2%) 83 1.8%
28 0.6%
Category
Transported Patient Number (Rate)
Pulse Restart Number
Pulse Restart Rate
One Month Survival Number
One Month Survival Rate
19
Chart 2-7. Breakdown of Cardiac Arrest Patients by Age Group (2017)
3. Bystander First Aid
Chart 3-1. Number of Life Saving Course Participants 2013-2017
The number of participants in life saving training courses (Life Saving Course, Advanced Life Saving
Course, and First Aid Instructor Course) in 2017 reached a record high of 248,891.
35
9 4 26 41
37 60
52 93
116
133
120
151
300 380
579
873
1,0
36
774
338
64
5
5310 14 34
72 63 101 106184
277358 331
485
695
850907
1,126
928
544
144
13 00
200
400
600
800
1000
1200
0-4
5-9
10-1
4
15-1
9
20-2
4
25-2
9
30-3
4
35-3
9
40-4
4
45-4
9
50-5
4
55-5
9
60-6
4
65-6
9
70-7
4
75-7
9
80-8
4
85-8
9
90-9
4
95-9
9
100
-10
4
105
-10
9
Female Male
244,155
245,130
244,308
245,004
248,891
243,000
244,000
245,000
246,000
247,000
248,000
249,000
250,000
2013 2014 2015 2016 2017
20
Chart 3-2. Number of First Aid Given by Bystanders by Treatment Type (2017)
Airway Maintenance1790.8%
Stabilization2401.1%
Defibrillation2761.2%
Foreign Object Removal 3511.6%
Others 1,6787.6%
Observation, Vital Sign Check, etc.4,488 20.3%
Chest Compressions3,859 17.5%
Safe Position Management2,704 12.2%
Hemostatic Care2,512 11.4%
Medical Treatment1,306 5.9%
AED,ECG1,244 5.6%
Heat Retention, Cooling1,152 5.2% Evacuation
889 4.0%
Home Therapy627 2.8%
Rescue Breathing597 2.7%
Others2,72412.3%
Number of
Bystander
First Aid
22,102
21
Chart 3-3. Breakdown of Bystanders by Occupation (2017)
4. Emergency Telephone Consultation Center
The Tokyo Fire Department Emergency Telephone Consultation Center (#7119) receives health
consultations (“Should I call an ambulance?” “Should I see a doctor immediately?” “Which hospital
should I go to?” etc.) on the phone and give callers necessary advice.
Police 3421.9%
Firefighters,Volunteer Firefighters 1901.0%
Public agency840.5%
Others 3762.0%
Medical Practitioners5,103 27.6%
Family3,501 19.0%
Passersby2,795 15.1%
Welfare Practitioners2,383 12.9%
Facility Staff1,845 10.0%
Office and School Staff1,167 6.3%
Others 9925.4%
Friends, Neighbors673 3.6%
Bystanders
18,459
22
Chart 4-1. Number of Telephone Consultations (2017)
Total Hospital Information Guidance
Health Consultation
Immediately Forwarded to 119*
Others Forwarded to 119
2017 369,018 195,707 172,551 29,838 613 147
2016 378,776 225,879 152,145 28,269 535 217 *Consultation calls are immediately forwarded to 119 upon caller’s request or
when operators feel the need after hearing the patient’ health conditions.
Chart 4-2. Breakdown of Health Consultation (2017)
Chart 4-3. Breakdown of Health Consultation by Age Group (2017)
Fever (Child)12,816 7.4%
Head Injury (Child) 9,288 5.4%
Stomachache 8,986 5.2%
Limb and Face Injury7,337 4.3% Fever 6,168
3.6%
Dizziness 5,611 3.3%Headache 5,429 3.1%
Nausea (Child) 4,873 2.8%
Chest Pain4,041 2.3%
Back Pain 3,821 2.2%
Others104,181 60.4%
Unknown 1,685 1.0%
Ages 0-1462,976 36.5%
Ages 15-2921,519 12.5%
Ages 30-4427,689 16.0%
Ages 45-5920,280 11.7%
Ages 60-7416,163 9.4%
Age 75 and Over22,239 12.9%
Number of
Health
Consultation
172,551
Number of
Health
Consultation
172,551
23
1. Training for Fire Safety and Disaster Preparedness
Chart 1-1. Number of Participants in Community Training for Fire Safety and
Disaster Preparedness (2017)
*The number includes visitors to Life Safety Learning Centers.
*The number of participants is a cumulative total. *The number of sessions is 16,643.
The actual number, not cumulative number, of participants in community training was 2,401,161.
Chart 1-2. Number of Participants in Comprehensive Life Safety Education
Sessions (2017)
Sessions Participants
Preschools / Kindergartens 2,934 228,987
Elementary Schools 3,444 569,475
Junior High Schools 2,283 147,331
High Schools 826 183,916
Universities 284 45,422
Special Education Support Schools 203 17,348
Others 1,925 131,548
TOTAL 11,899 1,324,027
Comprehensive life safety education offers to local schools and communities disaster
preparedness training (lectures, pick-up drills, etc.) programs designed to fit the different grades
and needs of students and community members.
964,140 946,385
629,825
348,885
168,528 166,687 108,325
1,003,331
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
InitialFirefighting
Evacuation First Aid Physical Safety Fire Prevention Emergency CallProcedures
Rescue Others
Community Risk Reduction
24
2. Inspection for Fire Safety and Disaster Preparedness
Chart 2. Number of Home Inspections for Fire Safety and Disaster
Preparedness (2017)
Since 2013, the TFD has been conducting home fire safety and disaster preparedness inspection
for the people who need assistance during disasters. The TFD firefighters visit their houses and
apartments and examine the risk of fire, earthquake, and daily accidents to give necessary advice
to mitigate potential damage.
3. Daily Accidents
Chart 3-1. Number of Patients Transported by Ambulances Due to Daily
Accidents 2013-2017
8,140 7,709
10,373 11,254 11,297
0
2,000
4,000
6,000
8,000
10,000
12,000
2013 2014 2015 2016 2017
122,646
127,106 128,619
131,925
136,213
110,000
115,000
120,000
125,000
130,000
135,000
140,000
2013 2014 2015 2016 2017
25
Chart 3-2. Breakdown of Transported Patients (Due to Daily Accidents) by Age
Group (2017)
More than 50% (76,889 people) of the patients transported due to daily accidents were aged 65
and over.
Transported Infant Patients (Due to Daily Accidents)
Chart 3-3. Breakdown of Transported Infant Patients (Due to Daily Accidents)
by Age (2017)
About 70% (9,642 people) of the child patients (age 12 and under) transported due to daily
accidents were infants aged 5 and under.
8,774
3,641
2,871
3,069
4,448
3,836
3,550
3,508
4,278
4,845
5,303
5,498
5,703
8,629
9,924
12,993
17,079
15,856
12,408
0 5,000 10,000 15,000 20,000
0~4
5~9
10~14
15~19
20~24
25~29
30~34
35~39
40~44
45~49
50~54
55~59
60~64
65~69
70~74
75~79
80~84
85~89
90~
1,675
2,486
2,000
1,510
1,103 868
0
500
1,000
1,500
2,000
2,500
3,000
Age 0 Age 1 Age 2 Age 3 Age 4 Age 5
26
Chart 3-4. Major Causes of Infant Daily Accidents (2017)
*Patients with moderate degree injuries need to be hospitalized, though their lives are not threatened.
Transported Older Adult Patients (Due to Daily Accidents)
Chart 3-5. Number of Transported Older Adult Patients (Due to Daily
Accidents) 2013-2017
2,519 2,371
1,214
956
452
386
209 46 28
12.1%
7.7%9.5% 7.3%
19.0%
9.1%7.2%
4.3%
50.0%
0%
10%
20%
30%
40%
50%
0
500
1,000
1,500
2,000
2,500
Fall Fall (WhileWalking)
Choking Hit Burns GettingCaught
Cut/Stabbed Bug Bites Drowned
Transported Infant Patients
Rate of Moderate Degree Injuries* or Worse
61,928
66,022 68,122
72,198
76,889
55,000
60,000
65,000
70,000
75,000
80,000
2013 2014 2015 2016 2017
27
Chart 3-6. Major Causes of Older Adult Daily Accidents (2017)
4. Furniture Safety Measures
Chart 4. Penetration Rate for Furniture Safety Measures 2008-2017
Furniture safety measures are precautionary measures taken to prevent the home appliances from
falling and sliding during earthquakes.
55,614
6,932
1,722 1,341 527 525 400 213 186
39.4%45.3%
52.0%
20.6%
98.7%
16.0%
40.3%
9.9%
18.3%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0
12,000
24,000
36,000
48,000
60,000
Fall (WhileWalking)
Fall Choking Hit Drowned Cut/Stabbed GettingCaught
Bug Bites Burns
Transported Older Adult Patients
Rate of Moderate Degree Injuries or Worse
34.2%
42.7%
47.0%
53.6%
58.6%58.0%
56.1%
66.6%
57.6%
65.6%
30%
35%
40%
45%
50%
55%
60%
65%
70%
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
28
5. TFD Disaster Relief Volunteers
Registered Volunteers
Chart 5-1. Number of Registered TFD Disaster Relief Volunteers 2013-2017
The numbers of men and women volunteers in 2017 were 9,566 and 5,218 respectively.
Chart 5-2. Breakdown of Registered TFD Disaster Relief Volunteers by Age
Group (2017)
Old adults are actively involved in disaster relief volunteers. About 45% of all TFD disaster
volunteers are aged 60 and over.
936
725
586 559507
16,441 16,181
15,921
15,135
14,784
13,000
13,500
14,000
14,500
15,000
15,500
16,000
16,500
17,000
0
200
400
600
800
1000
1200
1400
1600
2013 2014 2015 2016 2017
To
tal
Ne
wly
Re
gis
tere
d V
olu
nte
ers
Newly Registered VolunteersTotal
Ages 10-19592 4%
Ages 20-291,433 10%
Ages 30-391,260 8%
Ages 40-491,939 13%
Ages 50-592,912 20%
Ages 60-693,667 25%
Age 70 and Over2,981 20%
Number of
Disaster Relief
Volunteers
14,784
29
Chart 5-3. Breakdown of Registered TFD Disaster Relief Volunteers by
Occupation (2017)
Volunteer Activities
Chart 5-4. Number of Events and Activities Participated by TFD Disaster
Relief Volunteers 2016-2017
Employed by Companies6,306 43%
Self-employed2,229 15%
Civil Servants384 3%
Students1,301 9%
Homemakers2,056 14%
Unemployed1,096 7%
Others1,412 9%
695 690
302
163137
6896
33
641
752
230179
14483
110
33
0
100
200
300
400
500
600
700
800
Event/Training Teaching Seminar Meeting Self Training Recruiting PR Others
20162017
Number of
Disaster Relief
Volunteers
14,784
30
Chart 5-5. Number of TFD Disaster Relief Volunteers Participating in Events
and Activities 2016-2017
*The number is a cumulative total.
4,295
2,313
1,325 1,483
991
310500
158
3,978
2,607
1,163
1,543
1,020
551632
212
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
Event/Training Teaching Seminar Meeting Self Training Recruiting PR Others
2016
2017
31
1. Fire Inspection
Fire Inspection
Chart 1-1. Number of Fire Inspections 2013-2017
Administrative Measures against Violations
If there is a violation of fire service law in buildings and hazardous materials facilities,
administrative measures: instructions, warnings, and orders, are issued to fix the problem.
Chart 1-2. Number of Issued Warnings and Orders 2013-2017
41,818 41,763 41,356 41,031
38,936
2,058 1,9091,811 2,275
2,148
43,876 43,67243,167 43,306
41,084
35,000
37,000
39,000
41,000
43,000
45,000
2013 2014 2015 2016 2017
BuildingsHazardous Materials Facilities
685
521
297 315
228
327
247
242136
85
0
200
400
600
800
2013 2014 2015 2016 2017
WarningsOrders
Fire Prevention
32
Chart 1-3. Number of Notifications of Violations 2013-2017
If qualified hazardous materials engineers or fire defense equipment officers are involved in breach
of fire service law, they are notified of the violation items and instructed to fix the problem.
Chart 1-4. Number of Buildings with Publicly Announced Violations (2017)
*1 Inappropriate installment of standpipes, sprinklers, or automatic fire alarms.
*2 Multiple violations regarding the management of fire defense equipment.
In some cases, information about fire service law violation is announced to the public to promote
safe use of buildings.
36
56
38
40
34
18
22
158
11
0
10
20
30
40
50
60
2013 2014 2015 2016 2017
Notified to Hazardous Materials Engineers
Notified to Fire Defense Equipment Officers
153134
112
84 77130 133
106
52 51
0
50
100
150
200
2013 2014 2015 2016 2017
Serious Violation*1Repeated Violation*2
33
Excellence Mark
The certificate of fire protection (Excellence Mark) is issued by local fire chiefs upon receipt of
application and confirmation of fire safety. It can be displayed in buildings.
Chart 1-5. Number of Issued Certificate of Fire Protection (Excellence Mark)
(2017)
Self Inspection Reports
Chart 1-6. Number of Self Fire Inspection Reports 2013-2017
Managers of buildings and tenants submit to local fire station chiefs a fire inspection report
conducted by qualified fire prevention managers. If the result is assessed as “very good” for three
straight years, submission of the inspection report is exempt for the next three years.
Office Buildings21122.4%
Specific Purpose Buildings20221.5%
Hotels18019.1%
Welfare Facilities697.3%
Kindergartens444.7%
Schools424.5%
Others19320.5%
48,155 48,143 49,733 50,931 51,980
5,454 5,572 5,634 5,021 5,006
47,563 48,943 48,828 51,291 52,508
0
20,000
40,000
60,000
80,000
100,000
120,000
2013 2014 2015 2016 2017
ReportedExemptNot Reported
Number of
Issued
Excellence
Mark
941
101,172 102,658 104,195 107,243 109,494
34
Chart 1-7. Number of Self Disaster Preparedness Inspection Reports 2013-
2017
Managers of large buildings submit to local fire station chiefs a disaster preparedness inspection
report conducted by qualified persons about damage mitigation measures against earthquakes and
terrorist attacks. If the result is assessed as “very good” for three straight years, submission of the
inspection report is exempt for the next three years.
Chart 1-8. Number of Self Fire Defense Equipment Inspection Reports 2013-
2017
Managers of buildings submit to local fire station chiefs a fire defense equipment inspection report
conducted by their staff or qualified persons about the management of fire extinguishers, automatic
fire alarms, sprinklers, etc. in stalled in their buildings.
24,323 24,658 25,311 26,724 27,583
2,276 2,983 3,170 2,896 3,215 8,743 8,952 9,489 9,581 9,565
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
45,000
2013 2014 2015 2016 2017
ReportedExemptNot Reported
193,821 204,033 209,603 214,596 224,965
113,692 115,018 114,707 110,550 109,257
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
2013 2014 2015 2016 2017
ReportedNot Reported
35,342 36,593 37,970
39,201 40,363
307,513 319,051 324,310 325,146 334,222
35
2. Buildings and Fire Prevention Managers
Buildings
Chart 2-1. Number of Buildings and Hotels 2013-2017
Chart 2-2. Breakdown of Buildings by Building Type (2017)
375,790
384,767
392,247
402,382 407,507
1,965 1,914
1,960
2,033
2,272
1,900
2,000
2,100
2,200
2,300
2,400
360,000
370,000
380,000
390,000
400,000
410,000
2013 2014 2015 2016 2017
Ho
tels
Bu
ildin
gs
Buildings (excluding houses and "nagaya" houses)Hotels
Apartments40.2%
Non Specific Multi Purpose Buidlings17.9%
Specific Multi Purpose Buidlings14.9%
Offices 10.4%
Others (Schools, Factories, and Other Single Purpose Buidlings)16.6%
Number of
Buildings
407,507
36
Chart 2-3. Number of High Rise Buildings and Building Safety Centers 2013-
2017
As buildings in Tokyo become higher, larger, and deeper, the number of fire safety centers
mandatory for large scale/high rise buildings in accordance with Article 55-2-2 of the Fire
Prevention Regulations also increases.
Chart 2-4. Number of Buildings with Sprinklers and Automatic Fire Alarms
2013-2017
The number of buildings with sprinklers and automatic fire alarms has been increasing as the
number of high rise (11 and more floors or more than 31 meters high) buildings where sprinklers
are mandatory has been increasing. Another reason is that small social welfare facilities installed
automatic fire alarms and sprinklers, small hotels installed automatic fire alarms, and small clinics
installed sprinklers when the fire service law was amended recently.
1,424 1,451 1,494 1,516 1,533
713 728 763 775 786
500 503 511 514 519
400
600
800
1,000
1,200
1,400
1,600
2013 2014 2015 2016 2017
Buildings with Building Safety Centers
Buildings with 21 and More Floors
Buildings with Four and More Basement Floors
14,494
15,028
15,614
16,213
16,950 209,596
211,864 214,563
217,619 220,401
185,000
190,000
195,000
200,000
205,000
210,000
215,000
220,000
225,000
14,000
14,500
15,000
15,500
16,000
16,500
17,000
17,500
18,000
2013 2014 2015 2016 2017
Bu
ildin
gs w
ith
Au
tom
atic F
ire
Ala
rms
Bu
ildin
gs w
ith
Sp
rin
kle
rs
Buildings with SprinklersBuildings with Automatic Fire Alarms
37
Chart 2-5. Number of Buildings with Generators 2013-2017
Since 2011 Great Easy Japan Earthquake, more companies have installed generators and fuel
tanks for early recovery and business continuity in case of disasters.
Fire Prevention Managers
Chart 2-6. Number of Fire Prevention Managers 2013-2017
As of 2017, 82.9% of all the companies that need to assign a fire protection manager had assigned
a fire prevention manager and had reported to local fire stations.
16,260
16,758
17,399
17,752
18,163
2,411 2,434
2,493 2,514
2,570
2,350
2,400
2,450
2,500
2,550
2,600
2,650
2,700
15,000
15,500
16,000
16,500
17,000
17,500
18,000
18,500
2013 2014 2015 2016 2017
Ha
za
rdo
us M
ate
ria
ls F
acili
tie
s w
ith
Ge
ne
rato
rs
Bu
ildin
gs w
ith
Ge
ne
rato
rs
Buildings with Generators
Hazardous Materials Facilities with Generators
309,885 310,562 310,295 311,177 313,590
60,707 60,801 62,119 63,599 64,805
370,592 371,363 372,414 374,776 378,395
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
2013 2014 2015 2016 2017
Assinged
Need to be Assigned
83.6% 83.6% 83.3% 83.0% 82.9%
38
3. Private Fire Brigade Training
Chart 3-1. Number of Private Fire Brigade Training 2013-2017
2013 2014 2015 2016 2017
Comprehensive Training 85,678 87,186 88,303 90,499 94,792
Emergency Call Procedures 1,635 2,533 2,452 2,426 2,713
Firefighting 7,570 9,319 9,472 9,897 10,800
Evacuation 11,203 19,228 19,501 20,690 21,335
Others 3,565 11,116 9,138 11,775 8,083
TOTAL 109,651 129,382 128,866 135,287 137,723
Private fire brigade training is mandatory more than twice every year at departments, hospitals,
hotels, theaters, subway stations, and other places where many people go in and out.
Chart 3-2. Number of Participants in Private Fire Brigade Training 2013-2017
76,461 78,09580,185 79,650
81,668
51,263
61,834
53,24556,412
45,631
40,000
50,000
60,000
70,000
80,000
90,000
2013 2014 2015 2016 2017
Participants (Except Firefihgters)
Firefihgters as Supervisor
39
4. Hazardous Materials Facilities
Chart 4-1. Number of Hazardous Materials Facilities (2017)
Chart 4-2. Number of Accidents at Hazardous Materials Facilities (2017)
Underground Storage Tank2,928 23.2%
General Handling Place2,570 20.4%
Indoor Storage1,748 13.8%
Gas Station1,715 13.6%
Mobile Storage Tank1,552 12.3%
Indoor Storage Tank1,168 9.2%
Outdoor Storage Tank366 2.9%
Sales Place317 2.5%
Outdoor Storage171 1.4%
Factory70 0.6%
Piping Facilities13 0.1%
Simple Storage Tank 8 0.1%
1
6
6
6
2
1
4
1
3
6
5
2
64
0 20 40 60 80
Mobile Storage Tank
Unauthorized Facilities
Underground Storage Tank
Transport Vehicle
Specified Combustible MaterialsStorage and Handling Place
General Handling Place
Small Quantities Hazadrous MaterialsStorage and Handling Place
Gas Station
Fire Leak Others
Number of
Hazardous
Materials
Facilities
12,626
71
12
9
7
40
Chart 4-3. Number of Accidents at Hazardous Materials Facilities by Accident
Type 2013-2017
Chart 4-4. Factors of Accidents at Hazardous Materials Facilities (2017)
FACTORS CAUSES
Human Factors
Improper Management, False Operation,
Lack of Confirmation of Operational
Procedures, Skipped Necessary
Procedures, Insufficient Monitoring
Machine and Material
Factors
Deterioration, Design Problems
Malfunction, Construction Problem,
Damage
Others
Arson, Traffic Accident, Fire Spread into
Facilities, Disasters (Earthquake etc.),
Unknown/Under Investigation
3829 27
4221
3136
28
25
20
40 54
36
38
66
109119
91
105 107
1 1 20 0
16
6
26
17
9
0
5
10
15
20
25
30
0
20
40
60
80
100
120
140
2013 2014 2015 2016 2017
Fire LeakOthers DeathsInjuries
Human Factors2119.6%
Machine and Material Factors7368.2%
Others1312.1%
Number of Accidents 107
41
Chart 4-5. Factors of Fire Accidents at Hazardous Materials Facilities (2017)
Chart 4-6. Factors of Leak Accidents at Hazardous Materials Facilities (2017)
Chart 4-7. Factors of Other Accidents at Hazardous Materials Facilities (2017)
Human Factors1257.1%
Machine and Material Factors29.5%
Others733.3%
Human Factors630.0%
Machine and Material Factors1050.0%
Others420.0%
Human Factors34.5%
Machine and Material Factors6192.4%
Others23.0%
Number of Fire Accidents 21
Number of Leak Accidents 20
Number of Other Accidents 66
42
1. Personnel
Chart 1. Number of Personnel (As of April 2018)
Category and Rank Number
Operational Personnel
Fire Chief 1
Deputy Fire Chief
First Assistant Fire Chief 21
Assistant Fire Chief
Battalion Chief 413
Fire Captain 1,513
Fire Lieutenant 4,518
Fire Sergeant 4,949
Assistant Fire Sergeant
Firefighter 6,663
Administrative Personnel 424
TOTAL 18,502
The personnel were assigned to Headquarters, 10 District Headquarters, and 81 fire stations
(including three fire station divisions and 204 fire station branches) in the Tokyo Fire Department’s
service area.
2. Apparatus
Chart 2-1. Number of Deployed Apparatus (Excerpts) (As of April 2018)
489 Engines 4 Water Rescue Trucks
86 Ladders 5 Mountain Rescue Trucks
48 Chemical Engines 18 Special Incident Trucks
10 Fireboats 1 Special Rescue Trucks
253 Ambulances 20 Motorcycles
29 Rescue Trucks 7 Helicopters
4 Earthquake Rescue Trucks 8 Heavy Vehicles (Rescue)
2 Rescue Trucks (Carried on Airplane) 6 Heavy Vehicles (Road Clearance)
The total number of apparatus as of April, 2018, was 1,977.
Organization
43
Chart 2-2. Deployed Apparatus (Excerpts) (As of April 2018) by Fire District
Headquarters
1st Fire District Headquarters
10 Fire Stations: Marunouchi, Kojimachi, Kanda,
Kyobashi, Nihonbashi, Rinko, Shiba, Azabu,
Akasaka, Takanawa
38 Engines 14 Ambulances
13 Ladders 2 Recue Trucks
4 Chemical Engines 1 Special Incident Truck
10 Fireboats 2 Motorcycles
2nd Fire District Headquarters 7 Fire Stations: Shinagawa, Oi, Ebara, Omori,
Denenchofu, Kamata, Yaguchi
45 Engines 1 Rescue Truck
7 Ladders 1 Water Rescue Truck
6 Chemical Engines 1 Special Incident Truck
21 Ambulances 2 Motorcycles
2nd Fire District Fire Rescue Task Forces
1 Engine 1 Special Incident Truck
1 Chemical Engine 2 Heavy Vehicles (Rescue)
1 Rescue Truck 2 Heavy Vehicles (Road Clearance)
1 Earthquake Rescue Tucks
3rd Fire District Headquarters 5 Fire Stations: Meguro, Stagaya, Tamagawa,
Seijo, Shibuya
42 Engines 22 Ambulances
5 Ladders 2 Rescue Trucks
1 Chemical Engine 4 Motorcycles
3rd Fire District Fire Rescue Task Forces
1 Engine 3 Special Incident Trucks
1 Rescue Truck
4th Fire District Headquarters 7 Fire Stations: Yotsuya, Ushigome, Shinjuku,
Nakano, Nogata, Suginami, Ogikubo
51 Engines 26 Ambulances
8 Ladders 2 Rescue Trucks
2 Chemical Engines
44
5th Fire District Headquarters 7 Fire Stations: Koishikawa, Hongo, Toshima,
Ikebukuro, Oji, Akabane, Takinogawa
40 Engines 1 Rescue Truck
7 Ladders 1 Special Incident Truck
2 Chemical Engines 2 Motorcycles
17 Ambulances
6th Fire District Headquarters 8 Fire Stations: Ueno, Asakusa, Nihonzutsumi,
Arakawa, Ogu, Senju, Adachi, Nishiarai
48 Engines 2 Rescue Trucks
8 Ladders 1 Water Rescue Truck
4 Chemical Engines 1 Special Incident Truck
24 Ambulances 2 Motorcycles
6th Fire District Fire Rescue Task Forces
1 Engine 1 Special Incident Truck
1 Chemical Engine 1 Special Rescue Truck
1 Rescue Truck 2 Heavy Vehicles (Rescue)
1 Earthquake Rescue Truck 2 Heavy Vehicles (Road Clearance)
7th Fire District Headquarters 9 Fire Stations: Honjo, Mukojima, Fukagawa, Joto,
Honden, Kanamachi, Edogawa, Kasai, Koiwa
57 Engines 4 Rescue Trucks
10 Ladders 1 Water Rescue Truck
11 Chemical Engines 1 Special Incident Truck
36 Ambulances 4 Motorcycle
8th Fire District Headquarters
15 Fire Stations: Tachikawa, Musashino, Mitaka,
Fuchu, Akishima, Chofu, Koganei, Kodaira,
Higashimurayama, Kokubunji, Komae,
Kitatamaseibu, Kiyose, Higashikurume, Nishitokyo
83 Engines 3 Rescue Trucks
15 Ladders 1 Water Rescue Truck
5 Chemical Engines 2 Special Incident Trucks
41 Ambulances
8th Fire District Fire Rescue Task Forces
1 Chemical Fire Engine 1 Special Incident Truck
1 Rescue Truck 2 Heavy Vehicles (Rescue)
1 Earthquake Rescue Truck 2 Heavy Vehicles (Road Clearance)
2 Rescue Trucks (Carried on Airplane)
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9th Fire District Headquarters 8 Fire Stations: Hachioji, Ome, Machida, Hino,
Fussa, Tama, Akigawa, Okutama
48 Engines 4 Rescue Trucks
8 Ladders 5 Mountain Rescue Trucks
6 Chemical Engines 1 Special Incident Truck
32 Ambulances 4 Motorcycles
9th Fire District Fire Rescue Task Forces
1 Engine 3 Special Incident Trucks
1 Earthquake Rescue Truck 2 Heavy Vehicles (Rescue)
10th Fire District Headquarters 5 Fire Stations: Itabashi, Shimura, Nerima,
Hikarigaoka, Shakujii
32 Engines 18 Ambulances
5 Ladders 3 Rescue Trucks
4 Chemical Engines 1 Special Incident Truck
Air Fire Rescue Task Forces
1 Engine 7 Helicopters
1 Rescue Truck
Mobility Ambulance Unit
2 Ambulances
3. Budget
Chart 3-1. Planned Revenue (JPY)
2018 From 2017
Commission Income 70,000 -130,000 -65.0%
Processing Income 364,234,000 +1,975,000 +0.5%
National Treasury Disbursement 542,357,000 -206,960,000 -27.6%
Property Income 655,650,000 +36,081,000 +5.8%
Balance Carried Forward 6,650,330,000 +2,756,745,000 +70.8%
Other Incomes 45,506,697,000 -382,279,000 -0.8%
TMG Credit 1,982,000,000 -5,898,000,000 -74.8%
TOTAL 55,701,338,000 -3,692,568,000 -6.2%
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Chart 3-2. Planned Expenditure (JPY)
2018 From 2017
Management Cost 197,007,000,000 +4,520,000,000 +2.3%
Activity Cost 24,142,000,000 +1,491,000,000 +6.6%
Volunteer Fire Corps Cost 3,798,000,000 -269,000,000 -6.6%
Retirement Bonus and Pension 11,201,000,000 +1,258,000,000 +12.7%
Construction Cost 16,867,000,000 -2,094,000,000 -11.0%
TOTAL 254,007,000,000 +4,906,000,000 +1.3%
The budget (planned expenditure) for the Tokyo Fire Department for fiscal 2018 accounts for 3.6%
of the Tokyo Metropolitan Government’s budget.
Chart 3-3. Planned Expenditure by Category (JPY)
2018 From 2017
Payroll 198,700,213,000 +4,831,502,000 +2.5%
(Salary Payments) (121,866,110,000) (+1,704,225,000) +1.4%
(Retirement Bonus) (11,002,136,000) (+1,279,566.000) +13.2%
(Other Personnel Payments) (65,831,967,000) (+1,847,711,000) +2.9%
Project Cost 55,306,787,000 +74,498,000 +0.1%
TOTAL 254,007,000,000 +4,906,000,000 +2.0%
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