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"Stud yo f Moto r Vehicl e Fires "

Prepare dfo r th e Offic e o f Researc han dDevelopmen t Nationa l HighwayTraffi c Safet yAdministratio n

February198 8

Prepare db

y Dat a Link , Inc

. Washington , D.C

.P. 3



### Pag e 1

"Stud yo f Moto r Vehicl e Fires "

INTRODUCTION
Th e purpos e o f th e wor k reporte dher e i s t o revie wan danalyz e moto r vehicl e acciden t record s an drecord s o f moto r vehicl e defects , s o tha t a serie s o f question s canb e addresse d concerning th e origins , incidence , an dcharacterizatio no f moto r vehicl e (MV ) fire s nationwide , wit hemphasi s o ncars . Thi s documen t report s th e result s o f wor k conducte dbetwee n Novembe r 1 , 198 7 an dDecembe r 10 , 1987

. Th e wor k draw s raw dat a concerning polic e reporte dM V fire s from

th e tw o nationa l acciden t dat a system s (th e Fata l Acciden t Reporting Systeman d th e Nationa l Acciden t Sampling System) ; an dfrom th e acciden t record s o f selecte dState s (Michigan , Maryland , Ohio , Pennsylvania , Washington , Indiana , Texas , an dIllinois)

.
Ra wdat a concerning fir e relate dM V defect s ar e obtaine dfrom file s o f nationa l scop e maintaine db yNHTSA' s Offic e o f Defect s Investigation

. Thi s include s record s o f M V Owne r Complaints; , Technica l Servic e Bulletin s issue db yM V manufacturers , M

V Recal l Campaigns , an dpubli c Record s o f M V Defec t Investigations

. Th e file s mentione dabov e addres s M V accident s and/o r M V defect s fro

mdifferen t perspectives , an dfollowing differen t protocols

. Moreover , th e subjec t o f M V fire s i s inherentl y fuzzy

. Amoto r vehicl e fir e ca nb e th e outcome o f a crash , o r th e primarycaus e o f it ; o r i t canb e a concurren t an d contributing facto r t o a crash' s outcome

. Furthermore , eve ni nth e absenc e o f a crash , a M V fir e ca nb e a manifestatio no f M V componen t o r designdefects , an dca nlead t o increase dacciden t an dcasualt yrisks

. Becaus e o f al l thes e factors , a highe r tha nusua l complexit yshoul db e anticipate d i naddressing an

dprocessing rawdata , a s wel l a s i nth e review an dinterpretatio no f result s concerning moto r vehicl e fires

. Th e repor t tha t follow s ha s tw o mai nparts : Par t Ai s expository , present s th e result s o f dat a reductio nan d analysis , andi s keye dt o th e source s o f rawdata

. Par t B cut s acros s th e variou s source s o f informatio nan daddresse s question s an

dissue s concerning moto r vehicl e fires

.P. 4



### Pag e 2

PART A

. INCIDENC E AND ATTRIBUTE S O F M V FIRE S ONTH E HIGHWA Y
Thi s par t addresse s i nanexpositoryfashio nth e pertinen t informatio nextracte dfro mprocessing th e nationa l acciden t record s (the Nationa l Acciden t Sampling System , NASS ; an dth e Fata l Acciden t Reporting System , FARS ) andth e acciden t record s o f selecte dState s (Michigan , Ohio , Maryland , Pennsylvania , Washington , Indiana ; an dt o a lesse r exten t Texa s an d Illinois)

.

1

. Nationa l Experienc e i nAl l Polic e Reporte dAccident s (NASS )

Thi s sectio naddresse s th e NAS S record s i nth e year s 1979-198 5 an darrive s a t nationa l estimate s o f M V fir e an

dcasualt y count s an

drates , a s a functio no f principa l MV , crash , an d fir e attributes

. (a ) Fir e Count s

Th e principa l variabl e fo r M V Fir e designatio ni nth e NAS S i s "Fire" , a t th e Vehicl e Level

. I t assume s th e following values :
0 = N o Fire ; 1 = Mino r Fire , Starte di nVehicle ; 2 = Majo r Fire , Starte di nVehicle ; 3 = Mino r Fire , Starte dExternally ; 4 = Majo r Fire , Starte dExternally ; 5 = Fir e o f UnknownSeverit yan dOrigin ; 9 = Unknowni f Fire ;
Thi s variabl e i s examine dfirs t i nconjunctio nwit hth e post

acciden t dispositio no f th e vehicle : Drive no r Towaway

. Whe n th e NAS S year s 1981-198 5 ar e poole dtogethe r th e nationall y weighte dresult s show ni nTabl e 1 ar e obtained

. Assuming redistributio no f unknowno r unavailabl e category count s according t o know ncategoryproportions , b ytowaway statu s i nTabl e 1 , lead s t o a five yea r 1981-198 5 poo l o f count s i nknownFire-Towawaycategories

. Whe nthi s poo l i s divide db

yfive , th e mea nvalue s o f annua l incidenc e ar e obtaine da s show

ni nTabl e 2

. Tabl e 2 refer s t o al l moto r vehicles , annuall yan dnationally , i npolic e reporte dhighwayaccidents

. Asimila r procedur e may b e applie dfo r cars , wit hresult s show ni nTabl e 3

. I t i s importan t t o kee p i nmindtha t th e rawcount s tha t generat e th e result s o f Tabl e 3 ar e limited

. Thi s i s show ni nTabl e 4

.P. 5



### Pag e 3
Tabl e 4 present s th e 1981-198 5 poo l o f raw(no t weighte dfo r nationa l estimates ) count s o f car s recorde di nth e NASS , according t o Fir e an dTowawayStatus

. Th e tota l coun t o f car s wit hfir e relate dinformatio ni nth e five year s 1981-198 5 i s abou t 263

. Asimilarl yconstructe dtabl e yield s abou t 42 4 fo r al l moto r vehicle s i nth e same 1981-198 5 period

. (b ) Fir e Rate s an

dDistribution s

Th e us e o f th e count s i nTable s 2 an d3 allow s calculation s o f proportiona l fir e rates , a s wel l a s anevaluatio no f th e distributio no f moto r vehicl e fire s among majo r acciden t damag e categories

. Shownbelo war e th e proportiona l rates , i nM V Fire s pe r 1,00 0 NAS S Acciden t Involve dMoto r Vehicles

. Th e rate s ar e showna s a functio no f towawayoccurrence , fo r car s an dothe r moto r vehicles

.

Moto r Towaway Vehicle s N o Ye s Tota l
Car s 0.3 0 6.8 3 2.2 9 Othe r 1.7 9 8.5 0 3.2 4
Al l 0.7 6 7.1 9 2.5 6

Abou t 2. 6 moto r vehicle s ar e associate dwit hfire , pe r 1,00 0 NAS S acciden t involved

. Thi s rat e i s abou t 2. 3 fo r cars , bu t abou t 40 % highe r fo r othe r moto r vehicles

. Th e rat e i s als o verystrongl yrelate dt o th e towawayoutcome o f th e accident

. Thi s i s eviden t i nth e tabl e above , a s wel l a s i nth e following table :

Moto r Percen t Towaway Vehicle s wFir e N o Fir e

Car s 9 1 3 0 Othe r 5 7 2 2 Al l 7 9 2 8

Th e distributio no f moto r vehicl e fire s according t o fir e magnitud e (majo r v . minor ) an dorigi n(interna l t o th e vehicl e v . external ) i s show nbelow :P. 6



### Pag e 4

Towaway

Ye s

N o

Tota l Moto r

Vehicle s

Car s Othe r Al l

Car s Othe r Al l

Car s Othe r Al l Percen t o f

Majo r

4 8 6 1 5 1

5 1 8 1 5

4 3 4 3 4 3 Fire s tha t a r

Interna l

8 4 7 4 8 2

8 6 3 9 5 3

8 5 5 8 7 5



### Not e i nth e abov e tabl e tha t th e percentage s fo r mino r fire s o r fo r externa l fire s ar e th e complement s o f th e value s show nfo r majo r o r interna l fires

. I t i s eviden t i nthes e result s tha t th e majorit yo f moto r vehicl e fire s (85 % fo r cars ) hav e a n interna l origin , an dtha t abou t hal f th e fire s ar e o f a majo r magnitude , especiall yi ntowawaycases . (c ) NAS S Fire s i nRelatio nt o Cras hAttribute s

Tw o importan t variables , th e Genera l Are a o f Damag e (GAD ) an d th e Exten t o f Deformation , bot hfro mth e NAS S vehicl e level , hav e bee nselecte di norde r t o prob e th e associatio no f NAS S M V fire s wit hcras hattributes

. Th e resolutio no f ca r fir e incidence , a s a functio no f thes e cras hattribute s i s give ni n Table s 5 an

d6

. Thes e table s displayresult s concerning ca r fir e distributions , a s wel l a s proportiona l rate s o f ca r fire s a s a functio no f value s asssume db

yth e GA

D an dTAD variables

. NAS S ca r fire s ar e categorize db

ymagnitud e (mino r o r major) , irrespectiv e o f origin

. Fo r compariso npurposes , th e distributio no f car s wit h n o fir e i s als o displayed

. (d ) Occupan t Casualties , InjurySeverity , an dLesion s i nNAS S Fire s

Th e NASS , a t th e occupan t level , offer s severa l variable s fo r reviewing th e casualt ypattern s i nM V fires

. Tw o suc h variable s o f genera l interes t are : th e maximu minjuryseverit y i nth e AI S scale , (MAIS) , an dth e treatment/mortalit y associate dwit hanoccupant' s injuries

...P.7

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### Pag e 5

MAI S distribution s fo r ca r occupant s ar e show ni nTabl e 7 fo r thre e cases : N o Fire , Mino r Fire , andMajo r Fire

. I na simila r format , Tabl e 8 give s th e distribution s o f injuryoutcomes , whic hinclude : fatality ; hospitalization ; transpor t t o an emergenc yfacilit ywit hsubsequen t release ; treatmen t a t th e scen e o r late r withou t emergenc ytransport ; andn o treatment

. Table s 7 an

d8 addres s distribution s o f occupan t counts

. I n th e cas e o f N o Fir e th e distribution s ar e base do nsample s o f ten s o f thousand s o f observations , an dthu s hav e relativel y smal l uncertainties

. I nth e cas e o f Fire , however , whethe r mino r o r major , th e availabl e sample s ar e small , i.e

. a few hundre dcounts

. Thu s th e reade r shoul db e skeptica l o f an y fire/n o fir e differences , unles s thes e difference s ar e very large , a s i nth e cas e o f seriou s injurie s andfatalities

.
I nadditio nt o injure doccupants , th e NAS S allow s an examinatio no f occupan t injuries , whic hmayb e ordere db y severit ya s 1s t (mos t severe) , 2n d(secon

dmos t severe) , etc

. Injurie s i nth e NAS S mayals o b e addresse db ylesion , bod

y regio norga netc

. Th e variabl e lesio ni s particularl y importan t i na stud yo f M V fires , a s on e o f th e value s i t assume s i s "burns" , i nadditio nt o a long lis t o f othe r mor e frequen t values , suc ha s abrasion , concussion , contusion , laceration , fracture , rupture , etc

. Th e distributio no f "burns " among othe r lesion s o f ca r occupan t injurie s i s showni nTabl e 9

. Eac ho f th e nin e cell s o f thi s tabl e i s addresse db yth e occurrenc e an dth e magnitud e o f ca r fire , an

db ywhethe r o r no t "burns " i s associate dwit hth e 1st , 2nd , o r 3rdinjuryo f ca r occupants

.
Eac hcel l contain s tw o numbers ; th e top numbe r i s simpl yth e ro wpercent

. Th e secondnumbe r i s th e percen t proportio no f "burns " among al l possibl e lesions

.
Not e th e counterintuitiv e resul t o f a veryhig hpercentag e o f "burns " associate dwit hinjurie s o f occupant s i ncar s wit hn o recorde dfire

. I t i s ho t clear , withou t furthe r investigation , whethe r thi s i s du e t o a substantia l under-reporting o f fires , o r whethe r a larg e numbe r o f "burns " occu r a s a resul t o f contac t wit hho t surface s i nth e absenc e o f fire , o r stil l whethe r "burns " i s miscode di nth e plac e o f anothe r lesion , i n th e cas e o f n o fire

. Thi s topi c deserve s furthe r study

. Injuryoutcomes , wit h"burns " a s th e lesio no f th e mos t sever e injury , ar e addresse di nTabl e 10

. Thi s tabl e show s th e pattern s o f mortalit yo r administere dtreatment , a s a functio n o f fir e occurrenc e an dmagnitude , specificall ywhe n"burns' " i s th e lesio no f th e mos t sever e injury

. Th e tabl e i s structure d verysimila r t o Tabl e 8 , whic haddresse s outcome distributions , irrespectiv e o f specifi c lesion

.

"•"•^••^•'•'•''•"«"'^-'»^ ^P. 8



### Pag e 6

2

. Moto r Vehicl e Fire s i nFata l Accident s Nationwid e (FARS )

Thi s sectio naddresse s th e FAR S record s i nth e twelv e year s 1975-198 6 an

darrive s a t nationa l censu s value s o f M V fir e an

d casualt ycount s an drate s i nfata l accidents , a s a functio no f principa l MV , an

dcras hattributes

. Th e FARS , a censu s o f al l fata l accident s o nU.S

. roads , 197 5 t o 1986 , i s th e primarysourc e o f dat a fo r th e evaluatio no f fir e risk s i nfata l moto r vehicl e accidents

. Thi s acciden t fil e offer s a categorica l variable : "Fire " wit hvalue s "Yes " o r "No" , concerning th e "occurrenc e o f fir e i na vehicl e during th e fata l accident"

. Th e variabl e i s code dfo r virtuall yeac han deveryvehicl e i n th e file , wit hveryfewunknowns ; however , ther e i s relativel y little , i f any , additiona l informatio nconcerning th e fire , it s origin , an

dit s tempora l o r possibl ycausa l link s t o acciden t attributes

.
I nspit e o f suc hlimitation s th e FAR S dat a ar e verymuc hwort h reviewing , becaus e o f th e gravit yo f fata l accidents , th e broad coverag e an

dbul k offere db

yth e fil e i nth e twelv e calenda r year s o f it s operation , an dbecaus e o f th e coverag e o f severa l importan t accident , an dvehicl e attributes , notwithstanding th e absenc e o f soli dlink s wit hfir e occurrence .
Fo r thes e reasons , severa l cross-section s o f fir e relate dFAR S dat a wil l b e presente di nth e following table s an dwil l b e discusse dlater

. Th e leading descripto r w e shal l appl yt o indicat e th e propensit yo f a M

V t o fir e during a fata l acciden t i s th e rat e o f vehicle s wit hfir e occurrenc e pe r 10 0 fata l acciden t involve dvehicles

. Thi s measur e i s closel yrelate dt o the * odd s o f M V fir e eruption , give na fata l acciden t involvemen t fo r th e vehicl e i nquestion

. Th e nationa l averag e fir e rat e i nth e fata l accident s o f th e las t 1 0 years , sa

y1977-1986 , i s abou t 2.6 7 fo r al l moto r vehicles , an

d2.4 2 fo r cars , pe r 10 0 involve di nthes e fata l accidents

. Amor e detaile dbreakdow nb ymajo r moto r vehicl e category(bodytype ) i s show ni nTabl e 11

.
Fo r th e ful l twelv e year s o f FAR S operation , 1975-1986 , th e nationa l averag e fir e rate s are : 2.6 1 fo r al l M V an d2.3 5 fo r cars , pe r 10 0 fata l acciden t involve dvehicles

. Thes e rate s mayb e resolve db

ycalenda r yea r a s show ni nTabl e 12

.P. 9



### Pag e 7

I nthi s tabl e w e divid e al l moto r vehicle s int o Car s an dOthe r MV

. I neac hcategoryw e repor t count s fo r fir e occurrence , i n conjunctio nwit hcount s fo r al l fata l acciden t involvements , irrespectiv e o f fire

. Further , w e calculat e fir e rate s pe r 10 0 fata l acciden t involve dvehicles

. Thes e rate s ar e show ni nth e las t thre e column s o f th e table , fo r cars , othe r MV , an dal l MV

.
I nvie wo f a possibl e rol e o f fue l volatilit yi nM V fires , w e resolv e fir e rate s b ymont ho f th e yea r an db yState , s o tha t possibl e seasona l an dregiona l effect s ca nb e examined

. Th e result s o f thes e resolution s ar e give ni nTable s 1 3 an d14 , wit ha displayforma t identica l t o tha t discusse di nconnectio n wit hTabl e 12

.
Becaus e o f scop e limitation s i nthi s study , furthe r resolutio n o f M V fir e rate s wil l b e addresse dfo r car s only

. Thi s include s resolutio nb ycras hattributes , suc ha s cras htyp e (singl e vehicle , multi-vehicl e crash , o r n o crash) , principa l poin t o f impact , an drollove r occurrence ; an dresolutio nb

y principa l ca r attribute s suc ha s mode l year , marke t class , mak e and , wheneve r appropriate , model

.
Ca r fir e associatio nwit hcras hattribute s i s show ni nTabl e 1 5 a t severa l level s o f resolution , a s a functio no f th e cras h attribute s mentione dabove

. Fo r eac hentry , thi s tabl e give s th e frequencyo f occurrenc e o f th e fata l even t represente db y th e entry , th e coun t o f car s wit hfire , th e coun t wit hn o fire , an dth e rat e o f fir e pe r 10 0 total

. Th e sensitivit yo f ca r fir e rate s t o ca r mode l year , marke t class , ca r make , an dca r mode l i s addresse di nTable s 16 , 17 , 18 , an d1 9 respectively

. Also , th e fir e rate s i nthes e table s ar e give na s a functio no f th e fata l cras htype , an dar e accompanie db

ystandar derrors , s o tha t determination s o f statisticall ysignifican t difference s acros s variou s entrie s ca nb e facilitated

. Th e FAR S data / b

yfil e definition , ar e biase dan dthu s inappropriat e fo r a consideratio no f casualtie s othe r tha n fatalities

. B

yth e same toke nth e FAR S dat a ar e th e mos t qualifie dfo r addressing fatalities , an dth e rat e o f fatalitie s i ncar s wit hfir e pe r 10 0 tota l fatalities , irrespectiv e o f fire

. Fatalit ycount s i nFAR S cars , wit han dwithou t fir e occurrence , ar e show

ni nTabl e 2 0 a s a functio no f calenda r yea r fro m197 5 t o 1986

. Th e same tabl e als o present s th e rat e o f ca r occupan t fatalitie s i ncar s wit hfir e pe r 10 0 tota l fatalities , irrespectiv e o f fire

.P.1 0



### Pag e 8
3

. Moto r Vehicl e Fire s i nStat e Acciden t Record s

I nthi s sectio nw e describ e briefl yth e additiona l dat a base s addresse di nthi s investigatio nconcerning moto r vehicl e fir e experience , a s reporte di nth e acciden t record s o f Michiga n (1978-1984) , Maryland(1978-1984) , Ohi o (1981-1984) , an d Pennsylvani a (1978-1984)

. Thes e State s an dcalenda r year s wer e selecte do nth e basi s o f availability , an dcontent s relevan t t o thi s investigation

. Detaile ddat a o nmoto r vehicl e fire s i nth e Stat e o f Michigein ar e showni nTable s 2 1 t o 31- bo f th e Appendix

. Table s 3 2 t o 3 8 o f th e same Appendi xgiv e detaile ddat a fo r th e Stat e o f Maryland

. Furthermore , dat a o nca r fire s i nth e Stat e o f Ohi o ar e showni nTable s 3 9 t o 41 , whil e Table s 4 2 t o 42- c addres s relevan t dat a fromth e Stat e o f Pennsylvania

.

4

. Fire s Associate dwit hMoto r Vehicl e Componen t Failure s

Dat a concerning moto r vehicl e fir e associatio nwit hmoto r vehicl e componen t failures , a s wel l a s concerning th e frequenc y o f failure s o f fue l systemrelate dcomponent s o nth e road , wer e retrieve dfromth e NHTSA/OD I publi c files , use db yNHTS Afo r moto r vehicl e defec t investigations

. Th e fil e tha t provide dmos t o f th e materia l fo r analysi s i n thi s wor k i s tha t o f NHTSA/OD I record s o f moto r vehicl e owne r complaints , concerning componen t failure s an drelate dhazard s an daccidents

. Agoo ddescriptio no f th e natur e an dcontent s o f thi s fil e i s provide db yTable s 4 4 t o 4 9 i nth e Appendix

. Tabl e 5 0 i nth e same Appendi xi s a summaryo f dat a concerning fir e occurrenc e associate dwit hmoto r vehicl e componen t failures , ando f dat a concerning th e outcome o f suc hfailures

. Detaile ddat a presentation s ar e mad e i nTable s 5 1 t o 69

.P.1 1



### Pag e 9

PART B

. MOTO RVEHICL E FIR E ISSUE S

I nPar t Ao f thi s repor t w e discusse dbriefl yth e origin s o f detaile ddat a an

dresult s presente di nth e Table s o f th e Appendix

. Tha t discussio nwa s keye dt o th e file s o f acciden t an ddefec t record s use di nthi s investigation

. Thi s par t her e cut s acros s severa l o r al l file s an di s keye do nissue s an d question s concerning moto r vehicl e fires , a s discusse d individuall yi nth e following sections

.

1

. Th e Odd s o f Moto r Vehicl e Fir e

Th e odd s o f ca r o r othe r moto r vehicl e fir e ar e quantitativel y evaluate di nthi s wor k b ya calculatio no f th e proportiona l rat e o f ca r fir e occurrenc e pe r 1,00 0 acciden t involve dcars , o r pe r 10 0 fata l acciden t involve dcars , i f fir e occur s i na fata l ca r accident

. Th e majorit yo f th e table s i nth e Appendi xrepor t value s fo r th e odd s o f fire , evaluate do nth e basi s o f dat a o f variou s origins , andresolve db ysevera l parameter s relevan t t o moto r vehicl e accident s an dfires , an

dthei r outcomes

.
Asummaryo f th e odd s o f ca r fires , i nth e for mo f ca r fir e rates , i s give ni nTabl e 4 3 fo r polic e reporte dfire s i n variou s State s an

di nth e nationall yrepresentativ e NASS

. Focusing o nentrie s fo r al l fires , w e se e value s ranging from. 2. 2 t o 3. 7 pe r 1,00 0 acciden t involve dcars . Fir e occurrenc e i nmoto r vehicles , irrespectiv e o f acciden t occurrence , mayb e muc hhigher

. Se e fo r instanc e Tabl e 50 , Itema , wher e a rat e o f 2.8 3 fire s i s reporte dpe r 10 0 moto r vehicl e componen t failures

.
Not e tha t thi s rat e i s no t onl yexclusiv e o f cras hinduce d fires , bu t als o abou t 1 0 time s highe r tha nth e rat e quote d abov e fo r acciden t involve dcars . However , th e reade r shoul d als o ponde r th e possibilit yo f moto r vehicl e componen t failure s bein g over-reporte dwhe ntheyar e associate dwit hfire

. Fir e occurrenc e i nfata l accident s als o take s plac e a t highe r rate s tha ni npolic e reporte daccidents

. Thi s highe r rate , abou t 2. 5 pe r hundre da s show ni nTabl e 11 , i s anorde r o f magnitud e highe r thanth e rat e i npolic e reporte daccident s o f al l severities

.P.1 2



### Pag e 1 0

2

. Annua l Incidenc e o f Ca r Fire s Nationwid e

Th e NAS S nationa l estimat e o f annua l ca r fir e incidenc e i s o f cours e representative , bu t als o rathe r uncertai na s i t i s base d o na relativel ysmal l sample

. Alternativ e estimate s ar e possibl e o nth e basi s o f Stat e acciden t records

. Individua l State s mayno t alway s b e nationall yrepresentative , bu t they offe r th e bul k o f dat a neede dfo r a nationa l projection

. W e shal l us e severa l Stat e file s t o minimiz e th e risk s o f non
representativeness

.
W e mak e projection s base do ntw o figures : on e i s a State' s rat e o f ca r fires ; an

dth e secon

dfigur e i s th e NAS S estimat e o f acciden t involve dcars , abou t 7,500,00 0 pe r year . Th e result s o f thes e projection s ar e show ni nth e las t colum no f Tabl e 43

.
I nthi s colum

nw e se e tha t th e annua l incidenc e o f ca r fires , i npolic e reporte daccident s nationwide , range s betwee n16,00 0 an d26,000

. Thi s rang e reflect s no t onl ystatistica l fluctuation s bu t als o Stat e t o Stat e variation s o f fir e an d acciden t definitions

.
A t th e same time i t shoul db e recognize dtha t thi s range , althoughapplicabl e t o polic e reporte dca r fires , mayb e a seriou s underestimat e o f al l moto r vehicl e relate dfires

. No t al l ca r fires , whethe r acciden t relate do r not , ar e reporte di n polic e acciden t records

. Example s ar e ca r fire s occuring i nga s stations , servic e stations , o r privat e roadways

. I naddition , moto r vehicl e authorities , suc ha s insurance , recor dca r fire s tha t ar e no t necessaril yreporte db yth e police , eve nwhe nreporte dt o th e police

. Moreover , man yca r accidents , some o f whic hmayb e ca r fires , g o entirel yunreported

.
ANHTS Astudy , (Th e Economi c Cos t o f Moto r Vehicl e Accidents , January1983) , ha s addresse dan destimate dth e annua l incidenc e o f al l acciden t involve dcar s i nal l thes e case s a t abou t 35,000,00 0 pe r year , 7,500,00 0 o f whic har e polic e reporte d according t o th e NAS S nationa l estimate , an dth e res t ar e eithe r reporte delsewhere , o r entirel yunreported

.
N o estimat e i s availabl e fo r th e proportiona l rat e o f fire s i n th e cas e o f ca r accident s beyondthos e reporte db yth e police

. Howeve r w e mayestablis hanuppe r boundb yusing th e averag e o f abou t 3 pe r thousanduse dearlier

. Unde r thi s assumption , th e annua l incidenc e o f ca r fire s i nth e U.S

. mayb e a s higha s 105,00 0 irrespectiv e o f severity , o r reporting threshold

.

••""•

- ^P.1 3



### Pag e l l

3

. Injuryan

dInjuryOutcome Rate s an dSeverit y

Irrespectiv e o f whethe r ca r fire s ar e associate dwit hhighe r cras hseverities , th e injuryrate s o f occupant s i ncar s wit h fir e ar e verysubstantiall yhighe r tha nthos e o f occupant s i n car s wit hn o fire

. Thi s i s eviden t i nTabl e 7 wit hinjury severit yresolution , an di nTabl e 8 wit hresolutio nfo r injury outcome

. Ther e i s evidenc e tha t thi s disparit yi s t o a goo dpar t du e t o th e fire , an

dno t t o a possibl yhighe r cras hseverit ytha t migh t b e associate dwit hth e fire

. Se e example s o f thi s evidenc e i nTable s 2 5 an d26 , wher e fire/n o fir e injuryrate s ar e compare dunde r comparabl e cras hseverities

. Mor e evidenc e o nthi s issu e i s discusse dnext , i nconnectio nwit hth e rates , severity , an

doutcome o f occupan t burns

.

4

. Frequency , Severity , an dOutcome o f Occupan t Burn s

Base do ndetaile ddat a fro mPennsylvani a acciden t record s i n th e thre e year s 1982-1984 , th e numbe r o f acciden t involve dca r occupant s wa s abou t on e million

. Abou t 62 % o f thes e wer e uninjured ; 0.085 % sustaine dburn s a s thei r mos t sever e injury , whil e th e balanc e o f abou t 38 % hadothe r type s o f injurya s thei r mos t sever e injury

. Peopl e wit hburn s a s a proportio no f al l injure dar e abou t 0.222 %

. Inspit e o f th e smallnes s o f thes e proportions , th e nationa l estimate s o f ca r occupant s wit hburn s an do f ca r occupan t fatalitie s du e t o burn s ar e b yn o mean s small

. Usin g th e NAS S nationa l estimat e o f abou t 12,000,00 0 acciden t involve dca r occupant s pe r yea r an dth e 0.085 % proportio nquote dabov e fo r thos e wh o sustai nburns , w e arriv e a t 10,20 0 ca r occupant s wit h burns , a s th e mos t sever e injury , pe r yea r nationwide

. Th e severit yo f thes e burn s an dthei r outcome ar e als o noteworthy , a s show ni nth e following percen t distribution s o f injure dpeopl e b

ygravit yo f outcome , according t o th e typ e o f th e mos t sever e injury

. Thes e result s als o ar e base do nth e earlie r reference ddat a fro mPennsylvani a acciden t record s i n th e thre e year s 1982-1984 , wher e th e numbe r o f acciden t involve dca r occupant s wa s abou t on e million

.

### Pag e 1 2
Colum nPercen t b

y InjuryTyp e Injury Severit y
Fata l Majo r Moderat e Mino r Unknown Burn s

12. 6 8. 1 20. 2 53, 8 5. 3 Othe r

1. 2 4. 8 26. 0 67. 0 1. 0

Tota l 100. 0 100. 0

W e hav e als o addresse dthes e distribution s base do na large r poo l o f data , namel yabou t 2,200,00 0 acciden t involve dca r occupant s i nPennsylvani a during 197 8 t o 1984

. Th e joint , injurytype/injuryseverit ydistributio nfo r thes e occupant s i s show ni nTabl e 42-b

. I nadditio nTable s 4 2 an d42- a sho w simila r join t distribution s fo r occupant s o f al l (a s oppose dt o car s only ) moto r vehicles

. Thes e ar e limite dt o calenda r yea r 198 4 only , bu t showessentiall yverysimila r results

.

5

. Fir e an

dBurn s Relate dCa r Occupan t Fatalitie s

Acensu s o f fir e relate dca r occupan t fatalitie s i nth e U.S

. b y year , during 197 5 t o 1986 , i s show ni nTabl e 20

. Thes e fir e relate dfatalities , abou t 1,00 0 pe r year , occu r a t a rat e o f abou t 4 pe r 10 0 fatalitie s i ngeneral

. Base do ndat a showni n Table s 42- ban

d20 , w e conclud e tha t ove r 60% , o r mor e tha n60 0 o f thes e fatalitie s occu r a s a resul t o f burns

.
»W e reac hthi s conclusio nb ynoting : (a ) tha t abou t 2.3 8 percen t o f al l ca r occupan t fatalitie s ar e burn s related , a s showni n Tabl e 42-b ; an

d(b ) tha t ther e ar e abou t 25,50 0 ca r occupan t fatalitie s pe r year , i ngeneral , a s show ni nTabl e 2 0 fo r th e same 1978-198 4 averaging period

. Thi s mayrepresen t a lowe r bound , a s indicate db yanalternativ e wayo f estimating th e coun t o f burn s induce dca r occupan t fatalities

. According t bTabl e 42-b , abou t 12.7 % o f al l ca r occupants , wit h burn s a s thei r mos t sever e injury , die

. Moreover , i nth e las t sectio nw e estimate dth e numbe r o f ca r occupant s wit hburn s a s thei r mos t sever e injuryt o b e abou t 10,20 0 pe r yea r nationwide

. I t follow s tha t th e numbe r o f burn s relate d fatalitie s mayb e a s higha s 129 5 pe r year .
Not e tha t ther e i s n o basi c inconsistencybetwee nthi s 129 5 estimat e an

dth e FAR S censu s coun t o f abou t 100 0 fir e relate dP.1 5



### Pag e 1 3
fatalitie s pe r year , i f w e tak e int o accoun t th e fac t tha t FAR S lik e severa l othe r acciden t record s mayunderestimat e th e coun t o f fire s i nca r accidents , a s a resul t o f coding protocol

.

6

. Yea r t o Year , Seasonal , an dRegiona l Variation s

Yea r t o yea r variation s o f fir e rate s ar e show ni nTabl e 1 2 fo r fata l acciden t involve dmoto r vehicles , i nTabl e 2 0 fo r ca r occupan t fatalities , an di nTable s 2 2 and3 3 and42- c fo r acciden t involve dcar s i nth e State s o f Michigan , Maryland , an d Pennsylvania , respectively

.
I nprinciple , w e expec t th e yea r t o yea r variation s o f fir e rate s t o captur e majo r influencing factors , suc ha s ca r fue l systemdesig nan

dcomponen t change s du e t o mode l yea r turnove r (whethe r relate dt o FMVS S 30 1 o r t o EPAEvaporativ e Emissio n Contro l Requirements) , an dyea r t o yea r variation s o f ca r trave l exposur e severity , o r fue l volatilit ychange s mandatcid b yEPAo r th e States

.
I t turn s ou t tha t s o man ypossibl ycounteracting influences , i n th e same meltin g po t wit hchanging protocol s fo r recording ca r acciden t fires , produc e rathe r uneventfu l trend s an dallown o simpl e dat a interpretations , withou t extensiv e an delaborat e analyses

. Fir e rates , whethe r fo r fata l acciden t involve dcar s o r ca r occupan t fatalities , showa definit e ris e o f abou t 20 % i nth e lat e 1970's , followe db ya leve l behavio r i nth e firs t hal f o f th e 1980's

. Asimilarl yrising trendi s observe di nth e ca r fir e rat e i nal l accident s o f th e Stat e o f Maryland , Tabl e 33

.
Astronge r rising trend(b ya facto r o f 2 betwee n197 9 an d 1984 ) i s observe di nth e cas e o f ca r fire s i nal l accident s o f th e Stat e o f Pennsylvania

. Howeve r w e d o suspec t tha t a majo r par t o f thi s trendmayb e du e t o change s i nfir e reporting protocols

.
Fo r example , n o suc htrendi s observe di nth e Stat e o f Michigan , Tabl e 22

. I nthi s cas e th e overal l fir e rat e remain s virtuall yconstan t i nth e 1978-198 4 period

. Furthermor e i n thi s case , a verysubstantia l reductio ni s observe di nth e rat e o f fue l leaks , irrespectiv e o f fir e occurrence . Seasona l (e.g

. temperatur e related ) variation s o f fir e rate s ar e mor e pronounce dan dmor e consisten t thanyea r t o yea r variations

. Thi s i s eviden t i nTabl e 1 3 fo r fata l acciden t involve dcars , an

di nTabl e 3 4 fo r car s involve di nal lP.1 6



### Pag e 1 4
accident s i nth e Stat e o f Maryland

. Thi s trendsupport s th e thesi s tha t fue l volatilit ymayb e playing animportan t rol e i n moto r vehicl e fires

.
Asimilarl yexpecte dtrendo f fir e rate s b yState , correlating wit hStat e annuall yaverage dtemperatures , i s no t easil y observed , se e Tabl e 14

. Suc ha trendmayb e maske db y confounding factor s suc ha s th e Stat e t o Stat e variatio no f trave l exposur e severity

.

7

. Sensitivit yo f Fir e Rate s t o Moto r Vehicl e Category

I t i s easil yestablished , an dal l dat a source s ar e i n agreement , tha t mos t moto r vehicl e categorie s othe r tha ncar s hav e fir e rate s significantl yhighe r tha nthos e o f cars . Thi s i s eviden t i nTabl e 1 1 concerning moto r vehicl e fire s i nfata l accident s nationwide , i nTabl e 2 1 concerning moto r vehicl e fire s i naccident s o f al l severitie s i nth e Stat e o f Michigan , an dsimilarl yi nTabl e 3 2 fo r al l accident s i nth e Stat e o f Maryland

.
Asummaryo f thes e rate s i s show nbelow , wher e th e FAR S fir e rate s ar e pe r 10 0 fata l acciden t involve dvehicles , whil e th e Stat e rate s ar e pe r 100 0 vehicle s involve di nal l accidents

.

M V Fir e Rate s i n Moto r Vehicl e Category
Car s PUan dVan s Singl e Truck s Artie

. Truck s Motorcycle s
Al l M V FAR S

2. 4 2. 8 4. 4 5. 3 2. 0
2. 7 Michiga n

2. 2 2. 2 4. 3 5. 4 2. 0
2. 3 Maryland

2. 3 3. 1 5. 3 9. 7 3. 0
2. 6

O nground s o f sensibl e speculatio nw e coul dassignth e situatio nobserve dabov e to : (a ) highe r acciden t severitie s fo r vehicle s othe r tha ncars ; (b ) fire s o f externa l origin ; an d(c ) les s stric t requirement s fo r fue l systemprotectio ni nsuc h vehicles

. Fir e rate s mayshowa substantia l sensitivit yt o vehicl e bodytype , a s discusse dabove , bu t whe ncar s onl yar e considered , th e fir e rate s ar e insensitiv e t o ca r marke t clas s an dorigi no f manufacture

. Th e evidenc e o f thi s i s show ni n Tabl e 17

.

### Pag e 1 5

8

. Cras hMod e an

dCras hSeverit yEffect s o nCa r Fir e Rate s

Detaile dresult s fo r fata l acciden t involve dcars , give ni n Tabl e 15 , sho wtha t th e tw o cras hmode s associate dwit hth e highes t rate s o f cras hfire s ar e th e rea r impact , a t 6.40 , an d th e rollover , a t 3.65 , a s compare dt o 2.4 6 fire s pe r 10 0 fata l acciden t involve dcars , irrespectiv e o f cras hmode

.
I nspit e o f suc hhighrates , however , rea r impact s an drollove r contribut e relativel ylittl e t o th e nation' s fata l acciden t ca r fires , du e t o th e verylowincidenc e o f thes e cras hevents

. A s showni nTabl e 15 , ca r rea r impact s i nfata l accident s hav e a frequenc yo f 4.5 % an daccoun t fo r abou t 11.8 % o f al l ca r fires

. Th e number s fo r rollove r ar e 15.3 % and22.8 % respectively

. Th e balanc e o f ca r fires , ove r 66% , occu r i nassociatio nwit h cras hmode s tha t ar e neithe r rea r impacts , no r rollovers , bu t ar e distribute dove r a larg e numbe r o f othe r cras hmodes , eac h having a fir e occurrenc e rat e abou t 2. 3 pe r 100

. Thi s significan t finding i s contraryt o a popula r notio ntha t ca r fire s ar e associate dprimaril ywit hrea r impacts , an di t point s i nth e directio no f omnidirectiona l protectio n reguirement s fo r ca r fue l systems

. Verysimila r result s ar e eviden t i nTabl e 2 3 concerning th e sensitivit yo f ca r fir e rate s t o th e cras hmod e i nal l accident s o f th e Stat e o f Michigan

. Anothe r popula r notion , tha t ca r fire s ar e associate dprimaril y wit hhighcras hseverities , i s als o foun dunjustified , base do n evidenc e show

ni nTabl e 6 fo r NAS S cars , an despeciall yi n Tabl e 2 4 fo r car s involve di nal l accident s i nth e Stat e o f Michigan

.
A s see ni nTabl e 24 , th e highcras hseveritie s responsibl e fo r highfir e rate s ar e associate dwit hlowfrequencie s o f occurrence . Consequentl yth e majorit yo f ca r fires , ove r 55% , occu r a t cras hseveritie s no t exceeding TA D 5

. Moreover , a larg e proportio no f fire s occu r a t zer o cras hseverity , a s non
cras ho r pre-cras hfires

.

9

. Th e Influenc e o f Mode l Yea r an dCa r Ag e o nCa r Fir e Rate s

Resolutio no f ca r fir e rate s b ymode l yea r i s expecte dt o hel p i nth e identificatio no f trend s tha t migh t b e associate dwit h significan t designchange s i nth e ca r fue l systems

. Tw o type s o f suc hchange s mayaris e from : (a ) th e EPAmandate d

### Pag e 1 6

evaporativ e emissio ncontro l requirements , fo r implementatio n wit hmode l year s starting circ a 1970 ; an d(b ) th e FMVS S 30 1 requirement s i nthei r mos t comprehensiv e version , fo r implementatio nwit hmode l year s starting circ a 1975

.
I naddition , majo r designchange s o f fue l system s mayhav e take nplac e betwee nth e secondhal f o f th e 1970' s an dth e firs t hal f o f th e 1980's , whe nal l majo r manufacturer s redesigne d thei r ca r fleet s fo r fue l econom ypurposes .
I naddressing th e possibl e effect s o f th e mentione dchange s o n ca r fir e rate s w e hav e examined , wit hmode l yea r resolution , th e fata l acciden t experienc e o f MY66-8 6 cars , i nth e 1975

- 198 6 acciden t years . Th e result s o f thi s examinatio nar e show n i nTabl e 16

. W e als o hav e examine dth e MY66-8 4 ca r fir e experienc e during calenda r year s 197 8 t o 1984 , i nal l accident s o f Michigan , Maryland , an dOhio , wit hresult s show ni nTable s 27 , 35 , an

d39 , respectively

.
I nth e cas e o f fata l acciden t involve dcars , th e fir e rat e appear s t o increas e steadil ybetwee nmode l year s 6 6 an d75

. A

n increas e abou t 60 % i s eviden t ove r thi s tim e period

. Furthermore , i t appear s tha t thi s trendi s arreste di nMYpost

75 , wit ha 20 % declin e betwee nMY7 5 an dMY82 , followe db ya 20 % ris e agai ni nMYpost-82

.
I nvie wo f th e statistica l error s state di nTabl e 16 , al l M Y post-7 5 variatio nmayb e du e t o statistica l fluctuations

. Howeve r th e MY66-7 5 ris e i s substantia l an dsignificant

. I t i s no t clea r a t thi s poin t whethe r thi s substantia l increas e i s associate dwit himplementatio no f evaporativ e emissio n controls

. However , th e eliminatio no f thi s trendan dth e possibl e reductio no f th e fir e rat e i nMYpos t 197 5 i s consisten t wit hFMVS S 30 1 implementation

.
I nth e cas e o f fire s associate dwit hal l ca r accidents , th e rate s appea r t o fluctuat e a littl e i nMYpre-75 , bu t t o declin e verymuc hi nMYpost-75

. Thi s strong tren di s eviden t i nal l thre e States : Michigan , Maryland , an dOhio , a s mayb e see ni nTable s 27 , 35 , an d39 , respectively

. I nal l thre e case s als o th e rate s fluctuat e relativel ylittl e i nth e 1 0 mode l year s preceeding 1975 , wit hpossibl e peak s aroundth e middl e o f thi s range . Whe na serie s o f mode l years , suc ha s 6 6 t o 84 , i s addresse di n a rang e o f calenda r years , suc ha s 7 8 t o 84 , car s o f recen t mode l year s ar e als o car s o f a lowe r age , an dconversely

. Give ntha t ca r ag e (i.e

. th e calenda r yea r minu s mode l yea r difference ) maysignificantl yaffec t th e fir e rate , w e hav e addresse dth e fir e rate s o f ca r subfleet s wher e ca r ag e i s limite di na relativel ynarro wrange .P.1 9



### Pag e 1 7
Result s fromthes e analyse s ar e show ni nTable s 28- a an d28- b fo r Michigan , an

di nTable s 3 6 an

d4 0 fo r Marylandan dOhi o respectively

. Thes e result s d o no t addres s a significan t numbe r o f MYpre-7 5 cars , du e t o ca r ag e an dcalenda r yea r limitations

. However , th e result s addres s fir e rate s fo r MY post-7 5 cars , unde r controlle dca r ag e conditions , an dclearl y showtw o importan t points

. First , theyconfirmth e sharp declin e o f ca r fir e rate s a s discusse dabov e fo r MYpost-75 ; an dsecondth e results , eithe r fo r individua l mode l years , o r fo r al l mode l year s combined , sho wth e ver ystrong influenc e o f ca r ag e o nth e fir e rates

. Th e result s an

dconclusion s presente dabov e ar e verytentative , a s mor e thoughtfu l an dbette r controlle danalyse s woul db e reguire di norde r t o arriv e a t mor e definitiv e answer s t o th e question s o f sensitivit yo f ca r fir e rate s t o ca r mode l yea r an dca r age .

10

. Crash , Pre-Crash , an dNon-Cras hFire s

A s a matte r o f genera l definition , a ca r fir e i s characterize d a s a cras hfir e whe na cras htake s plac e i nth e absenc e o f a fire , an

dth e fir e erupt s a t an ystag e pos t cras hinitiation

. Implici t i nthi s definitio ni s th e ide a tha t th e fir e i s cause d b yth e crash

. Th e opposit e hold s fo r pre-cras hfires , wher e a ca r fir e erupt s firs t an

danaccident , mos t usuall ya crash , happen s next , wit h a strong causa l link t o th e fire

. Athirdpossibilit yexists , namel ya non-cras hca r fire , wher e a fir e erupt s bu t n o cras h take s plac e a t all

. Neithe r th e FAR S no r th e NAS S record s mak e an ycategorica l distinctio no f fire s i nth e categorie s mentione dabove

. However , thre e o f th e Stat e acciden t record s use di nthi s investigation , namel yth e record s o f Maryland , Ohio , an d Pennsylvani a mak e certai ndistinction s tha t deserv e attention

. Th e Marylandrecords , a s mayb e see ni nTable s 3 2 t o 3 5 characteriz e a fir e a s th e principa l caus e o r no t th e principa l caus e o f th e acciden t associate dwit hth e fire

. Thi s i s o f cours e a judgemen t cal l o f th e acciden t investigating polic e officer , bu t nevertheles s i s usefu l information

.
Base do ndat a give ni nth e mentione dtables , car s wit hfire s tha t ar e blame da s th e principa l cause , a s oppose dt o a consequence , o f Marylandca r accident s wit hfir e represen t abou t 58 % o f al l ca r fires

.

### Pag e 1 8

Moto r vehicle , an

dspecificall yca r fire s i nth e Stat e o f Ohi o ar e characterize da s "Du e t o Crash " an d"Other" , a s mayb e see n i nTable s 3 9 t o 41

. Presumabl yth e characterizatio n"Other " include s bot hpre-cras han dnon-cras hfires

. Th e proportio no f thes e "Other " ca r fire s i s estimate dfro mtabl e 3 9 a t 49 % o f al l ca r fire s

Everyvehicl e involve di nanacciden t i nth e Stat e o f Pennsylvani a i s associate dwit hup t o thre e events : Even t 1 , 2 , an d3 , presumabl yi ntempora l sequence . I nth e majorit yo f th e records , onl yup t o tw o event s ar e recorded

. Eac ho f thes e event s assume s value s fro ma long lis t tha t includes , i n additio nt o "Fire " an d"Explosion" , al l othe r conceivabl e event s i na M

V accident

. Accordingl yi nth e Pennsylvani a record s i t i s possibl e t o distinguis hwhethe r a fir e preceede do r followe da cras ho r othe r acciden t events , depending o nwhethe r fir e i s th e firs t o r th e secondo r subsequen t event

.
Base do nth e dat a show ni nTabl e 42-c , th e proportio no f ca r fire s wher e th e fir e wa s th e firs t even t i s betwee n65 % an d70 % o f al l ca r fires , depending o nspecifics

. Thi s mayrepresen t th e proportio no f al l pre-cras han dnon-cras hfire s i n Pennsylvania

.

11

. Owne r Experienc e wit hMoto r Vehicl e Fire s

Tabl e 5 0 i nth e Appendi xi s a summaryo f moto r vehicl e owne r experienc e wit hcomponen t failure s tha t leadon e wayo r anothe r t o a fire

. Th e vehicle s i nthi s cas e ar e car s an dothe r ligh t vehicle s suc ha s pickup s an dvan s use dfo r persona l transportation

. Th e dat a sourc e i s th e NHTSA/OD I fil e o f M V Owne r complaints , wit habou t 210,00 0 record s o f interes t here

.
Itema i nTabl e 5 0 show s th e rat e o f fir e occurrenc e a s abou t 2.8 % o f al l case s wher e a componen t fails

. Subsequen t item s showtha t th e outcome s o f componen t failure s ar e muc hmor e seriou s whe na fir e occurs , i nassociatio nwit ha componen t failure

.

12

. Fue l SystemFailure s

Base do ndat a i nth e NHTSA/OD I file s concerning M V non-cras ho r pre-cras hsituations , th e fue l system , whethe r cite da s a systemo r b

yspecifi c component , i s on e o f th e mos t frequentl y associate dwit hdefect s o r failures , irrespectiv e o f fir eP.2 1



### Pag e 1 9 eruption

. Relevan t dat a ar e show ni nTabl e 5 4 o f th e Appendix

. Furthermore , th e same tabl e als o show s tha t th e proportiona l rat e o f fir e eruption , give na direc t fue l systemfailure , i s abou t thre e time s highe r tha nth e averag e fo r al l system failures

. Th e frequenc yo f fue l systemfailures , i ncompariso nt o al l othe r M V componen t failures , ha s bee naddresse do nth e basi s o f dat a reporte di nfou r differen t source s a s summarize dbelow , fo r cars , ligh t trucks , an dothe r ligh t vehicle s use di n persona l transportation :

—Fue l SystemFailure s NHTSA/OD I Fil e Coun t % o f Al l Component s
4518 1 1197 7 42 8 21 9 18. 9

17. 6 21. 1 21. 2 

### M V Owne r Complaint s Mfrs ' Tech

. Serv

. Bulletin s M V Recal l Campaign s M V Defec t Investigation s

I t i s eviden t i nthes e result s tha t th e proportiona l rat e o f fue l systemfailure s wit hrespec t t o al l M V componen t failure s i s abou t 20 % , irrespectiv e o f th e sourc e o f data

. Failur e rate s ar e o f cours e sensitiv e t o man yfactors

. Result s o nsensitivit yt o M V mak e ar e summarize di nTable s 70 , 71 , 72 , an

d7 3 concerning th e four entrie s show ni nth e tabl e above , respectively

. Sensitivit yt o mode l yea r o r t o specifi c mode l i s show

no nTable s 6 1 o r 63 , concerning th e proportiona l rat e o f fue l systemfailures , base do nowne r complaints

. I n al l thes e table s th e rat e i nquestio ni s foun dt o varyb

ya facto r a s larg e a s four

. Furthe r resolutio no f th e genera l "Fue l System " categoryint o specifi c components , including fue l emissio ncontro l components , ha s no t bee nparticularl yencouraging i nthi s study

. Th e primarydifficult yarise s fro mcoding generalizations , i nwhic hparticula r fue l system subcategorie s ar e ofte nsubsume db ymor e genera l categories

.
I norde r t o se e thi s difficult yrefe r t o Tabl e 7 4 i nth e Appendix

. Thi s tabl e list s al l th e fue l relate dcomponents , tha t faile di nth e experienc e o f M V owners , b

ycode , decode d name , count , an

dpercen t distribution

. Give ntha t al l specifi c subcategorie s ar e show nan dtha t ther e i s n o overlap i nthi s tabulation , on e expect s t o se e th e genera l categories , sa ycode s ending i nfour , five , o r si x zeros , relativel yunderpopulate di nfavo r o f th e mor e specifi c subcategorie s tha t ar e state di nth e table

. Instead , th e opposit e i s observed

.P.2 2



### Pag e 2 0
Th e distributio nshow ni nTabl e 7 4 refer s t o fue l relate d componen t failures , irrespectiv e o f fir e occurrence . Very simila r result s ar e obtaine dfo r failure s o f suc hcomponent s wit hfir e occurrence , a s mayb e see ni nTabl e 75

.
Becaus e o f th e substantia l an dunknow

ndistortion s o f th e mentione ddistributions , thi s investigatio nfind s i t no t feasibl e t o obtai nan ydetaile dan

ddefinitiv e resolutio no f failing fue l system s int o specifi c componen t failures , especiall yi ncase s wit hfir e occurrence . Furthermore , fo r th e same reasons , i t i s no t feasibl e t o adequatel yaddres s th e associatio no f failing fue l emissio n conto l component s wit hM V makes , models , an dmode l years . Not e that , i ncase s wit hfir e occurrence , ther e i s als o th e additiona l difficult yo f verylimite dsampl e sizes , a s i s eviden t i nEntrie s 2 5 t o 2 9 o f Tabl e 75

.

CONCLUSION S
Th e dat a base s an

ddat a addresse db ythi s investigatio nare . generall yadequat e fo r a usefu l characterizatio no f moto r vehicl e fire s an

dfo r anevaluatio no f th e factor s tha t influenc e fir e incidence , severity , an doutcome

. Thi s investigatio nha s addresse dmos t o f th e issue s an dha s answere dmos t o f th e question s concerning moto r vehicl e fires , a s discusse di nPar t B

. However , th e investigatio ndi dno t produc e detaile ddistribution s o f fue l system componen t failure s an

dfailur e modes , especiall yi nassociatio nwit hfir e occurrence . Th e reason s fo r thi s difficult yar e trace dt o coding generalization s o f dat a concerning fue l systemcomponents , an d t o sampl e siz e limitations

. Fo r th e same reason s i t i s conclude dtha t th e feasibilit yo f anin-dept hfailur e mod e analysi s o f fue l emissio ncontro l components , base do nth e dat a addresse dhere , i s a t bes t limited

. Th e wor k tha t woul db e require dt o addres s thes e issue s wit h highe r expectation s fall s i ntw o categories : (a ) Furthe r an d deepe r exploitatio no f th e dat a a t handfo r a clarificatio no f th e rol e playe db

yvariou s fue l componen t failure s i nfir e occurrence ; an

d(b ) Retrieva l o f additiona l dat a an dexecutio n o f analyse s seeking t o correlat e specifi c componen t an ddesign characteristic s o f th e fue l system s wit hfir e experienc e o nth e road

. Include dunde r (a ) abov e i s a cas e b ycas e examinatio nan da revie wo f narrative s plu s othe r contextua l informatio ni nth eP.2 3



### Pag e 2 1

NHTS AOD I dat a files

. Thi s approac hmayovercome some o f th e limitation s discusse dearlier

. Amor e promising approac hi s tha t o f item

(b ) above

.
I nthi s case , ca r an dothe r ligh t vehicl e subfleet s operating o nU.S

. road s woul db e categorize do nth e basi s o f generall y availabl e information , concerning generi c component s an d design s o f fue l sytems , andspecificall yo f fue l emissio n contro l components

.
I naddition , th e o nth e roadfir e experienc e o f th e same vehicl e categorie s woul db e characterize do nth e basi s o f acciden t records

. Furthe r analyse s o f thes e separat e result s woul dshowwhethe r ther e ar e an yground s fo r correlating specifi c componen t an ddesig nattribute s o f th e fue l system wit hfir e experienc e o nth e road

.

### "Stud

yo f Moto r Vehicl e Fires " Appendi xo f Detaile dTable s

February198 8 

# DRAFT

Prepare dby Dat a Link , Inc

. Washingto nD.C

.P.2 5



### "Stud yo f Moto r Vehicl e Fires "

Table s 1 t o 10 : Acciden t Dat a fromth e NAS S
Table s 1 1 t o 20 : Acciden t Dat a from th e FAR S
Table s 2 1 t o 31b : Acciden t Dat a from th e Stat e o f Michiga n
Table s 3 2 t o 38 : Acciden t Dat a from th e Stat e o f Maryland
Table s 3 9 t o 41 : Acciden t Dat a from th e Stat e o f Ohi o
Table s 4 2 t o 42c : Acciden t Dat a fomth e Stat e o f Pennsylvani a
Tabl e 43 : Summaryo f Ca r Fir e Rate s andProjection s
Table s 4 4 t o 49 : Genera l Dat a fromNHTSA/OD I File s o nMoto r Vehicl e Owne r Complaint s
Tabl e 50 : SummaryTabl e Concernin g Fire s i nth e NHTSA/OD I File s (Owne r Complaints )
Table s 5 1 t o 65 : Detaile dDat a Concernin g Record s i nth e NHTSA/OD I File s (Owne r Complaints )
Table s 6 6 t o 69 : SummaryDat a fromth e NHTSA/OD I Fil e o f M V Manufacture r Tec hServic e Bulletin s
Tabl e 70 :

Tabl e 71 : Frequenc yo f Fue l SystemComponen t Failure s i nMoto r Vehicl e Owne r Complaint s
Frequenc yo f Fue l SystemComponent s Addresse d i nMoto r Vehicl e Mfrs ' Technica l Servic e Bulletin s
Tabl e 72 :

Tabl e 73 :

Table s 74 , 75 : Frequenc yo f Fue l Syste mComponent s Appearin g i nMoto r Vehicl e Recal l Campaign s Frequenc yo f Fue l Syste mComponen t Appearin g i nNHTS AM

V Defect s Investigation s
List s o f Codes , Counts , andDistribution s o f Fue l Relate dComponent s i nOwne r Complaint s

### $<*L

Tabl e 1 . Classificatio no f the 50,981,64 5 Moto r Vehicle s i nth e Nationa l Projectio no f th e NAS S Poo l 1981-1985 , Accordin gt o NAS S Fir e Categor y an dTowawa y

Statu s

NAS S Fir e Categor y

N o Fir e Mino r Fire , Majo r Fire , Mino r Fire , Majo r Fire , Starte di nVehicl e

Starte di nVehicl e Starte dExternall y Starte dExternall y Moto r Vehicl e Towawa y

No Ye s Unk n
1424731 6 1333185 5 18316 9

Fire^o f UnknownSeverit y an dOrigi n

Unknowni f Fir e Missin gDat a Dat a No t Collecte d 517 4 19 9 346 1 137 8 65 1

3732 0 754007 1 486565 B 3497 3

3554 4 688 6 916 5 1115 8

1835 8 10954 9 42510 1 35 1

0 0 0 23 0

347 2 6999 2 4441 4

Tabl e 2 . Annua l Incidenc e o f Moto r Vehicl e Fire s i nConjunctio n

wit hTowaway ; Nationa l Projectio no f th e 1981-198 5 NAS S Averag e wit hFull y Redistribute dUnknowns .

NAS S Fir e Categor y

No Fir e Mino r Fire , Majo r Fire , Mino r Fire , Majo r Fire » Starte di nVehicl e

Starte di nVehicl e Starte dExternall y Starte dExternall y Vehicl e Towawa y

Fir e o f UnknownSeverit y an dOrigi n
Al l Moto r Vehicl e Fire s N o
733451 8 266 4 10 2 178 2 70 9 i 33 5 Ye s

283568 3 739 6 740 0 143 4 190 8 239 8 Tota l

1017020 1 1006 0 750 2 321 6 261 7 273 3
559 2 2053 6 2612 8

Al l Moto r Vehicle s 734011 0 285621 9 1019632 9Tabl e 3 . Annua l Incidenc e o f Ca r Fire s i nConjunctio n wit hTowaway ; Nationa l Projectio no f th e 1981-198 ! NAS S Averag e wit hFull y Redistribute dUnknowns .

NAS S Fir e Categor y

No Fir e ! Mino r Fire , Starte dinCa r Majo r Fire , Starte di nCa r Mino r Fire , Starte dExternall y Majo r Fire , Starte dExternall y Fir e o f UnknownSeverit y andOrigi n Ca r Towawa y

No
506489 2 123 9 7 5 21 0 0 0 Ye s
221152 2 595 9 533 1 102 2 108 3 180 7 Tota l

727641 4 719 8 540 6 123 2 108 3 180 7
Al l Ca r Fire s 152 4 1520 2 1672 6

Al l Car s 506641 6 222672 4 729314 0

Tabl e 4 . Fiv e Yea r Poo l o f Raw Count s o f Ca r Fire s i n Conjunctio nwit hTowaway ; 1981-198 5 NAS S Pool .

Ca r Towawa y

NAS S Fir e Categor y No Ye s
1851 1 Starte di nCa r 6 Starte di nCa r 2 Starte dExternall y 2 Majo r Fire , Starte dExternall y 0 Fir e o f UnknownSeverit y an dOrigi n0 No Fir e Mino r Fire , Majo r Fire , Mino r Fire ,

Al l Ca r Fire s 1 0 25 3 Tota l
3310 5 9 9 8 8 2 1 1 8 2 7 5161 6

10 5 9 0 2 3 1 8 2 7
26 3

Al l Car s 1852 1 3335 8 5187 9P.2 8



### Tabl e 5

. Incidenc e o f Ca r Fire s b yMagnitud e i nNAS S a s a Functio no f Car' s Genera l Are a o f Damag e (GAD) ;

Genera l Are a o f Damag e

Fron t Sid e Rea r To p 1981-198 5

Ca r Fires , Colum

n%

Non e

53. 5 30. 4 11. 5 4. 6 Mino r

77. 1 12. 6 6. 6 3. 7 Majo r

49. 3 12. 5 26. 6 11. 5 Ca r Fir e

1,00 0 Ac e
Mino r

4. 9 1. 4 1. 9 2. 7 Rat e pe r

.Involv

. Majo r

1. 5 0. 7 3. 8 4. 1

Tota l 100. 0 100. 0 100. 0 3. 4 1. 6

Tabl e 6

. Incidenc e o f Ca r Fire s b yMagnitud e i nNAS S a s a Functio no f Car' s Cras hSeverit y(TAD) ; 1981-1985

.

Ca r Fires , Colum

n% Exten t o f Deformatio n(TAD )

1 (None ) 2 3 , 4 5 , 6 7 , 8 (Max ) 9 (Unkn ) Non e

45. 2 28. 4 20. 0 3. 5 1. 1 1. 8 Mino r

27. 7 25. 9 30. 4 7. 2 6. 1 2. 6 Majo r

12. 6 31. 9 21. 5 25. 3 1. 4 7. 2

Tota l 100. 0 100. 0 100. 0P.2 9

Tabl e 7

. Injur ySeverit yo f Ca r Occupant s i nNAS S Ca r Fire s by

Fir e Occurrenc e andMagnitude ; 1981-1985

.

Occupants , Colum n% byFir e Magnitud e Ma xInjur y Severity , MAI S

Uninjure d Unk nSever

. MAI S = 1

2 3 4 5 6

Tota l Non e

77. 9 3. 5 15. 6 2. 0 0.7 3 0.1 3 0.0 9 0.0 4
100. 0 Mino r

45. 8 14. 0 23. 4 9. 3 5. 7 0.5 6 0.8 4 0.3 1
100. 0 Majo r

61. 2 5. 1 16. 5 7. 3 3. 8 2. 2 1. 5 2. 4
100. 0

Tabl e 8

. Ca r Occupan t Casualtie s i nNAS S Ca r Fire s a s a Functio n

o f Treatment/Mortalit yb yFir e Occurrenc e andMagnitude ;

Treatment/Mortal i t y

Fatalit y Hospitalizatio n Transpor t S

c Releas e Treatment , N o Transp

. N o Treatmen t Occupants , Colum nV. byFir e Magnitud e

Non e

0.2 4 2. 3 8. 1 2. 9 86. 4 Mino r

2. 9 12. 5 20. 3 4. 9 59. 5 Majo r

6. 1 11. 7 14.4 1. 0 66. 8

Tota l 100. 0 100. 0 100. 0P.3 0

Tabl e 9 . Burn s o f Ca r Occupant s fo r thei r Mos t Severe , Second ,

an dThir dMos t Sever e Injuries , a s a Functio no f Ca r Fir e Occurenc e an dMagnitude ; NAS S 1981-1985 .

Ca r Fir e Magnitud e + . rH+ ! Non e ! Mino r ! Majo r J 1 j

. + + Row Percen t 5 83.9 0 i 2.2 3 ! 13.8 7 5 7, o f Al l Lesion s ! 0.0 3 ! 0.7 2 i 6.5 7 '. + . + + + Row Percen t '. 89.9 6 ! 0.8 5 '. 9.1 9 ! •/ . o f Al l Lesion s '. 0.1 0 ! 0.4 4 i 9.5 8 !

Row Percen t ! 78.5 1 ! 0.0 0 ! 21.4 9 ! % o f Al l Lesion s 5 0.0 4 ! 0.0 0 ! 8.4 1 S + — + + + 1s t Injury

2ndInjury

3r dInjury

Tabl e 10 . Outcom e o f Injure dCa r Occupants * wit hBurn s a s th e

Mos t Sever e Injury , a s a Functio no f Fir e Occurrenc e andMagnitude ; NAS S 1981-1985 .

Treatment/Mortalit y Injured , Colum n7. b y Fir e Magnitud e

Non e Mino r Majo r

Fatalit y

6. 8 Hospitalizatio n15. 8 Transpor t & Releas e 20. 4 Treatment , N o Transp . 4. 1 No Treatmen t 52. 9

Tota l 45. 7 54. 3 37. 6

24. 5 16.6 . 13. 4 7. 6
100. 0 100. 0 100. 0P.3 1

Tabl e 11 . Count s o f Moto r Vehicles , wit hFir e an dTotal , base d o nth e Te nYea r 1977-198 6 FAR S Nationa l Census ; Proportiona l Rate s o f Fir e pe r 10 0 FAR S Involve dM V

1977-198 6 FAR S Censu s
Moto r Vehicle s
Car s Van s Pickup s Straigh t Trk s Com bin . Trk s Buse s Motorcyc l Othe r
Al l e s — M V w Fir e
893 1 48 8 260 9 56 8 210 0 2 7 92 0 47 6
1611 9 Count s —

Tota l
36892 5 1840 6 9187 6 1303 5 3970 0 324 8 4649 8 2247 7
60416 5 Rat e

pe r 10 0
2.4 2 2.6 5 2.8 4 4.3 6 5.2 9 0.8 3 1.9 8 2.1 2
2.6 7

Tabl e 12 . Calenda r Yea r Resolutio no f Count s andRate s o f

Fire s fo r Car s andOthe r MV , Involve di nFata l Accidents , i n1975-198 6

Fata l Acciden t Involve dMoto r Vehicle s

Cal . Yea r
7 5 7 6 7 7 7 8 7 9 8 0 8 1 8 2 3 3 8 4 8 5 8 6
Al l Car

w Fir e
74 4 77 1 83 2 86 7 97 8 93 1 103 1 85 9 82 7 841 80 0 96 5
1044 6 s

No Fir e
3789 7 3720 6 3903 8 4054 4 3999 9 3905 9 3886 4 3404 7 3304 9 3438 9 3400 0 3593 7
44402 9 Othe r

w Fir e
50 8 54 3 67 3 71 3 79 6 78 9 77 8 66 2 59 3 71 3 68 3 78 8
823 9 M

V

No Fir e
1763 7 1887 8 2147 8 2360 0 2476 3 2442 6 2383 5 2240 8 2205 7 2358 3 2427 1 2481 9
27175 5 Fir e R

Car s
1.9 6 2.0 7 2.1 3 2.1 4 2.4 5 2.3 8 2.6 5 2.5 2 2.5 0 2.4 5 2.3 5 2.6 9
2.3 5 ate s p
Othe r
2.8 8 2.8 8 3.1 3 3.0 2 3.2 1 3.2 3 3.2 6 2.9 5 2.6 9 3.0 2 2.8 1 3.1 7
3.0 3 er 10 0

Al l
2.2 5 2.3 4 2.4 9 2.4 6 2.7 4 2.7 1 2.8 9 2.6 9 2.5 8 2.6 8 2.5 5 2.8 9
2.6 1P.3 2

Tabl e 13 . Monthb y MonthResolutiono f Count s an dRate s o f Fire s fo

r Car s an

dOthe r MV , Involve di nFata l Accidents , i

n1975-198 6

Fata l Acc i

ont h

1 2 3 4 5 6 7 8 9 1 0 1 1 1 2
Al l den t Inv o
Car s

w Fir e
64 6 59 0 71 9 83 7 91 3 92 8 104 7 100 7 94 1 97 8 94 3 89 7
1044 6 No Fir e

3071 0 2930 8 3416 2 3457 5 3755 2 3793 7 3995 8 4103 2 3849 6 4049 8 3909 2 4070 5
44402 9 lvedMoto r Vehicle s

Othe r

w Fir e
42 5 44 2 56 0 60 3 73 8 87 0 87 1 95 3 84 0 75 7 63 7 54 3
823 9 M

V

No Fir e
1640 7 1581 2 1852 2 2056 2 2479 4 2676 9 2841 9 2869 0 2542 2 2440 6 2135 4 2059 4
27175 5 Fir e Rate s p

Car s
2.1 0 2.0 1 2.1 0 2.4 2 2.4 3 2.4 5 2.6 2 2.4 5 2.4 4 2.4 1 2.4 1 2.2 0
2.3 5 Othe r
2.5 9 2.8 0 3.0 2 2.9 3 2.9 8 3.2 5 3.0 6 3.3 2 3.3 0 3.1 0 2.9 8 2.6 4
3.0 3 e r 10 0

Al l
2.2 7 2.2 9 2.4 3 2.6 1 2.6 5 2.7 8 2.8 1 2.8 1 2.7 9 2.6 7 2.6 1 2.3 5
2.6 1Tabl e 14

. Stat e b yStat e Resolutio n o f Count s an d Rate s o f Fire s fo r Car s an d Othe r MV , Involve d i n Fata l Accidents , i n 1975-198 6

Fata l Acciden t Involve d Moto r Vehicle s

Car s Othe r M V Fir e Rate s pe r 10 0 U.S

. Stat e
A L AK A Z AR C A C O C T D E D C F L G A H I I D I L I N I A K S K Y L A M E M D M A M I M N M S M O M T N E N V N H N J N M N Y N C N D O H O K O R P A R I wFir e

10 7 1 9 17 2 13 0 154 5 10 0 11 3 4 9 9 31 1 37 8 4 0 2 7

. 77 7 28 8 195 11 8 18 6 20 8 3 3 10 0 18 2 42 1 22 5 13 9 28 0 3 4 5 5 3 9 5 1 25 4 4 2 51 0 17 7 3 4 41 3 25 0 12 8 39 2 2 4 N o Fir e

950 9 78 5 659 3 435 6 4605 4 528 1 503 9 129 6 59 8 2600 6 1376 2 1563 182 4 1962 2 1066 6 518 7 444 0 789 1 897 1 186 5 687 5 840 3 1866 8 681 4 615 0 1003 8 177 0 275 4 216 7 161 1 1208 1 381 8 2455 0 1498 6 109 7 1892 3 706 0 502 9 2002 0 113 1 wFir e

6 8 2 4 21 6 15 8 119 6 15 5 5 2 2 3 3 23 9 25 6 8 4 1 37 1 22 1 16 9 15 6 12 6 18 2 2 5 7 7 7 8 22 5 19 1 11 7 26 5 6 0 8 0 4 8 2 2 8 8 9 0 24 1 13 9 4 0 26 3 31 6 14 9 25 8 1 6 N o Fir e

532 7 101 5 657 1 396 6 3103 0 444 7 242 2 65 2 23 5 1425 6 774 7 78 2 224 2 937 8 690 0 384 4 354 7 469 5 684 6 130 2 372 4 311 5 839 0 452 5 415 8 627 4 208 5 225 7 166 7 98 6 442 2 403 3 1001 0 723 6 100 9 922 9 624 6 428 1 1044 2 54 9 Car s

1.1 3 2.4 2 2.6 1 2.9 8 3.3 5 1.8 9 2.2 4 3.7 8 1.5 1 1.2 0 2.7 5 2.5 6 1.4 8 3.9 6 2.7 0 3.7 6 2.6 6 2.3 6 2.3 2 1.7 7 1.4 5 2.1 7 2.2 6 3.3 0 2.2 6 2.7 9 1.9 2 2.0 O 1.8 0 3.1 7 2.1 0 1.1 0 2.0 8 1.1 8 3.1 0 2.1 8 3.5 4 2.5 5 1.9 6 2.1 2 Othe r
1.2 8 2.3 6 3.2 9 3.9 8 3.8 5 3.4 9 2.1 5 3.5 3 1.2 6 1.6 8 3.3 0 1.0 2 1.8 3 3.9 6 3.2 0 4.4 0 4.4 0 2.6 8 2.6 6 1.9 2 2.0 7 2.5 0 2.6 8 4.2 2 2.8 1 4.2 2 2.8 8 3.5 4 2.8 8 2.2 3 1.9 9 2.2 3 2.4 1 1.9 2 3.9 6 2.8 5 5.0 6 3.4 8 2.4 7 2.9 1 Al l
1.1 8 2.3 9 2.9 5 3.4 6 3.5 6 2.6 2 2.2 1 3.7 0 1 .44 1.3 7 2.9 5 2.0 5 1.6 7 3.9 6 2.9 0 4.0 3 3.4 3 2.4 8 2.4 7 1.8 3 1.6 7 2.2 6 2.3 9 3.6 7 2.4 8 3.3 4 2.4 4 2.6 9 2.2 7 2.8 1 2.0 7 1.6 8 2.1 7 1.4 2 3.5 1 2.4 0 4.2 5 2.9 8 2.1 3 2.3 8P.3 4

Tabl e 1 4 (Cont'd )

Fata l Acciden t Involve dMoto r Vehicle s

Car s Othe r MV Fir e Rate s pe r 10 0 U.S

. — Stat e wFir e N o Fir e wFir e N o Fir e Car s Othe r Al l
S C 16 7 870 3 10 5 435 4 1.9 2 2.4 1 2.0 8 S D 4 1 140 3 4 8 122 3 2.9 2 3.9 2 3.3 9 TN25 8 1145 0 16 7 630 6 2.2 5 2.6 5 2.3 9 TX78 6 3201 1 90 3 2565 3 2.4 6 3.5 2 2.9 3 U T 1 6 244 4 3 7 229 8 0.6 5 1.6 1 1.1 2 V T 3 1 107 3 2 1 60 2 2.8 9 3.4 9 3.1 0 V A15 4 1002 5 13 0 534 0 1.5 4 2.4 3 1.8 5 W A15 4 770 3 11 7 492 7 2.0 0 2.3 7 2.1 5 WV 7 3 423 0 6 7 266 8 1.7 3 2.5 1 2.0 3 W I 19 1 852 9 13 3 483 5 2.2 4 2.7 5 2.4 2 W Y2 0 1205 5 9 170 7 1.6 6 3.4 6 2.7 1
Al l 1044 6 44402 9

. 823 9 27175 5 2.3 5 3.0 3 2.6 1P.3 5

Tabl e 15

. Count s andRate s o f Fir e fo r Fata l Acciden t Involve d

Car s a s a Functio no f Cras hType , Rollove r Occurrence , andPrincipa l Poin t o f Impact ; FAR S 197 8 t o 198 6

Ca r Rol l Princ.Poin t Even t Cras hTyp e ove r o f Impac t Freq

. 7.

No nCras h—5. 9 Singl e Ve h—

37. 6 Multi-Ve h—56. 5

N o 84. 7 Ye s 15.3

Fron t 58. 9 Sid e 22. 2 Rea r 4. 5 Othe r 14.4

No nCras hN o 0. 8

Ye s 5. 1 Singl e Ve hN o Fron t 21. 0 Sid e 5. 5 Rea r 0. 7 Othe r 2. 5
Ye s Fron t 3. 2

Sid e 1. 2 Rea r 0. 1 Othe r 3. 4
Multi-Ve hN o Fron t 33. 9 Sid e 14. 8 Rea r 3. 5 Othe r 2. 0

Ye s Fron t 0. 9

Sid e 0. 7 Rea r 0. 2 Othe r 0. 6

Al l Al l Al l 100. 0 Ca r C Fir e

42 8 341 9 425 2

625 5 1844

430 0 1524 95 8 131 7

8 5 34 3
146 7 56 7 11 0 20 1
50 9 14 5 2 8 39 2

214 5 72 6 76 4 19 0
17 9 8 6 5 6 10 6

809 9 ount s



### Tota l

1906 5 12061 1 18211 2

27310 9 4867 9

19010 2 7161 2 1400 2 4607 2

266 8 1639 7
6782 6 1761 9 208 0 813 0
996 3 378 4 45 4 1075 5
10961 5 4804 5 1082 1 630 5
269 8 216 4 64 7 181 7

32178 8 Fir e Rat e

pe r 10 0

2.2 0 2.7 6 2.2 8

2.2 4 3.6 5

2.2 1 2.0 8 6.4 0 2.7 8

3.0 9 2.0 5
2.1 2 3.1 2 5.0 2 2.4 1
4.8 6 3.6 9 5.8 1 3.5 2
1.9 2 1 .4 9 6.5 9 2.9 3
6.2 2 3.8 2 7.9 7 5.5 1

2.4 6

### Tabl e 16

. Ca r Fir e Rate s pe r 10 0 Fata l Acciden t Involve dCars , an dthei r Standar dErrors , a s a Functio no f Mode l Year , fo r Variou s Cras hTypes

. Source : Th e FAR S 1975-198 6

Ca r Fire s pe r IO OFAR S Cars , b y Cras hTyp e
C r Mode l Yea r
6 6 6 7 6 8 6 9 7 0 7 1 7 2 7 3 7 4 7 5 7 6 7 7 7 8 7 9 3 0 8 1 8 2 8 3 8 4 8 5 8 6 Al l

R a
1.7 2 1.9 4 1.9 6 2.0 8 2.1 3 2.3 4 2.3 8 2.2 6 2.3 7 2.9 0 2.5 3 2.5 0 2.2 9 2.6 2 2.1 9 2.0 2 2.0 6 2.2 8 2.2 8 2.5 0 2.5 3 ER a
0.2 3 0.2 0 0.1 6 0.1 4 0.1 3 0.1 3 0.1 1 0.1 0 0.1 0 0.1 2 0.1 0 0 . 1 0 0.1 0 0.1 1 0.1 1 0.1 2 0.1 4 0.1 7 0.1 7 0.2 2 0.3 4 Singl e



### R s
1.5 8 1.9 5 2.3 0 2.2 9 2.3 2 2.3 3 2.4 2 2.3 9 2.4 1 3.2 8 2.7 0 2.6 1 2.4 4 2.5 5 2.4 6 2.3 1 2.5 9 2.2 4 2.5 3 2.7 4 2.4 7 -Ca r

ER s
0.3 1 0.2 9 0.2 6 0.2 2 0.2 0 0.1 9 0.1 7 0.1 5 0.1 5 0.1 9 0.1 6 0.1 5 0.1 5 0.1 6 0.1 8 0.2 1 0.2 5 0.2 7 0.2 8 0.3 6 0.5 1 Mult i



### R m
1.8 5 1.8 6 1.6 1 1.8 5 1.9 2 2.3 2 2.2 8 2.1 5 2.2 9 2.5 7 2.3 8 2.3 9 2.1 4 2.6 3 1.9 8 1.7 8 1.6 9 2.3 0 2.0 9 2.3 4 2.5 0 

### -Ve h

ER m
0.3 3 0.2 7 0.2 0 0.1 8 0.1 7 0.1 7 0.1 4 0.1 2 0.1 3 0.1 5 0.1 3 0.1 2 0.1 2 0.1 4 0.1 4 0.1 5 0» . 1 7 0.2 2 0.2 1 0.2 8 0.4 5


### Al l 2.3 5 0.0 3 2.5 0 0.0 4 2.2 1 0.0 4P.3 7

Tabl e 17

. Ca r Fir e Rate s pe r 10 0 Fata l Acciden t Involve d

Cars , an dthei r Standar dErrors , b yCa r Marke t Clas s andOrigi no f Manufacture , fo r Variou s Cras hTypes

. Source s FAR S 1975-1986

.

Ca r Fire s pe r 10 0 FAR S Cars , byCras hTyp e
Ca r
Clas s

Sub c Sub c Sub c Comp Comp Comp Mi d St d Org n

Do m Jp n Eu r Do m Jp n Eu r Do m Do m Al l

R a

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. (Concluded )

Ca r Fire s pe r 10 0 FAR S Cars , b yCras hTyp e
Car ' s
Mode l
Celic a Supr a Cressid a Carin a Terce l Starle t Camr y Triumph Volv o Mitsubish i Othe r
Al l Clas s

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0.0 4Tabl e 20 . Count s an dRate s o f Ca r Occupan t Fatalitie s inFAR S b y Fir e Occurrence , i n1975-198 6

Fir e Occurrenc e Calenda r + + + Yea r ! N

o ! Ye s ! Tota l

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+ + + 8 0 ! 2628 4 ! 106 4 ! 2734 8

• • 3.8 9 i
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! ! 4.5 0 ! + + ._ + Tota l 29329 8 1195 2 30525 0P.4 4

Tabl e 21

. Moto r Vehicl e Fire s i nth e Stat e o f Michiga n1978-1984

.

Count s o f Moto r Vehicles , Accordin g t o Fir e and/o r Fue l Leak , andIncidenc e Rate s pe r 100 0 Acciden t Involve d Vehicles , a s a Functio no f Bodytyp e

Lea k o r Fir e Rate s

Moto r Vehicl e Count s pe r 100 0 Tota l Bod yFre q— Typ e 7. (1 ) (2 ) (3 ) <4 > Tota l <1 > (2 ) (3 ) <5 >
Ca r 75. 3 2303 0 415 4 146 7 248637 9 251503 0 9. 2 1. 7 0. 6 2. 2 PU,Va n12. 0 504 4 61 1 27 6 39399 0 39992 1 12. 6 1. 5 0. 7 2. 2 3 1. 2 71 3 7 9 4 1 3788 3 3871 6 18. 4 2. 0 1. 1 3. 1 4 1. 6 1203 15 9 7 4 5317 0 5460 6 22. 0 2. 9 1. 4 4. 3 5 1. 5 305 0 16 9 10 2 4731 5 5063 6 60. 2 3. 3 2. 0 5. 4 6 8. 5 537 7 31 4 26 0 27727 0 28322 1 19. 0 1. 1 0. 9 2. 0


### Al l 100. 0 3841 7 548 6 222 0 329600 7 334213 0 11. 5 1. 6 0. 7 2. 3

(1 ) Vehicl e wit hN o Fire , bu t wit hFue l Leak ; (2 ) Vehicl e wit hFire , Unknow ni f Fue l Leak ; (3 ) Vehicl e wit hFire , an dwit hFue l Leak ; <4 ) N o Fire , N o Fue l Leak ; (5 ) Fire , Irrespectiv e o f Fue l Leak , (2+3)

.Tabl e 22

. Ca r Fire s i nth e Stat e o f Michiga n1978-1984

. Count s o f Cars , Accordin g t o Fir e and/o r Fue l Leak , an dIncidenc e Rate s pe r 100 0 Acciden t Involve d Cars , a s a Functio no f Calenda r Yea r

Moto r Vehicl e Count s Lea k o r Fir e Rate s pe r 100 0 Tota l Cal . Yea r

7 8 7 9 8 0 8 2 8 3 8 4

Al l ( 1 )

593 1 480 3 356 6 293 5 301 1 311 7

2336 3 (2 )

78 5 77 1 62 6 65 0 67 5 70 3

421 0 (3 )

38 6 27 9 22 9 20 3 18 7 20 7

149 1 (4 )

50203 2 46815 4 37431 8 36896 5 37646 8 42218 9

251212 6 Tota l

50913 4 47400 7 37873 9 37275 3 38034 1 42621 6

254119 0 (1 )

11. 6 10. 1 9. 4 7. 9 7. 9 7. 3

9. 2 <2 >

1. 5 1. 6 1. 7 1. 7 1. 8 1. 6

1. 7 (3 )

0. 8 0. 6 0. 6 0. 5 0. 5 0. 5

0. 6 <5 >

2. 3 2. 2 2. 3 2. 3 2. 3 2. 1

2. 2

(1 ) Vehicl e wit hN o Fire , bu t wit hFue l Leak ; (2 ) Vehicl e wit hFire , Unknow ni f Fue l Leak ; (3 ) Vehicl e wit hFire , an dwit hFue l Leak ; (4 ) N o Fire , N o Fue l Leak ; (5 ) Fire , Irrespectiv e o f Fue l Leak , (2+3)

.P.4 6

Tabl e 23

. Ca r Fire s i nth e Stat e o f Michiga n1978-1984

.

Count s o f Cars , Accordin g t o Fir e and/o r Fue l Leak , an dIncidenc e Rate s pe r 100 0 Acciden t Involve dCars , a s a Functio no f Impac t Mod e

Lea k o r Fir e Rate s Ca r Count s pe r 100 0 Tota l Fre q 7. (1 ) (2 ) (3 ) (4 ) Tota l (1 ) (2 ) (3 ) (5 )
1. 5 327 9 16 9 10 4 3506 8 3862 0 84. 9 4. 4 2. 7 7. 1 28. 9 537 7 138 3 4§ 8 72719 9 73442 7 7. 3 1. 9 0. 6 2. 5 14. 7 1604 45 3 14 4 37022 1 37242 2 4. 3 1. 2 0. 4 1. 6 6. 8 125 6 21 7 6 9 17224 3 17378 5 7. 2 1. 2 0. 4 1. 6 6. 2 102 8 15 1 7 1 15517 8 15642 8 6. 6 1. 0 0. 5 1. 4 11. 5 586 5 33 8 24 0 28661 8 29306 1 20. 0 1. 2 0. 8 2. 0 Rea r 6. 0 133 1 16 1 7 1 15009 7 15166 0 8. 8 1. 1 0. 5 1. 5 Sid e 7. 2 129 1 20 0 7 1 18050 0 18206 2 7. 1 1. 1 0. 4 1. 5 Frn t 16. 0 165 2 43 0 155 40343 7 40567 4 4. 1 1. 1 0. 4 1. 4 1. R r 0. 7 39 5 1 2 1 5 1667 6 1709 8 23. 1 0. 7 0. 9 1. 6 Ca r Impac t Mod e

N o Impac t Cnt r Fron t Righ t Frn t Righ t Sid e Righ t Rea r Cnt r Rea r Lef t Lef t Lef t Frn t

Al l 100. 0 2336 3 421 0 149 1 251212 6 254119 0 9. 2 1. 7 0. 6 2. 2

(1 ) (2 ) (3 ) (4 ) (5 ) Vehicl e wit hN o Fire , bu t wit hFue l Leak ; Vehicl e wit hFire , Unknow ni f Fue l Leak ; Vehicl e wit hFire , an dwit hFue l Leak ; N o Fire , N o Fue l Leak ; Fire , Irrespectiv e o f Fue l Leak , (2+3)

.P.4 7

Tabl e 24

. Ca r Fire s i nth e Stat e o f Michiga n1978-1984

.

Count s o f Cars , Accordin g t o Fir e and/o r Fue l Leak , an dIncidenc e Rate s pe r 100 0 Acciden t Involve dCars , a s a Functio no f Cras hSeverit y(TAD )

Cras h Sever

. TA D
1 2 3 4 5 6 7 8 9 Fre q

y. 3. 3 26. 6 26. 1 19. 3 11. 8 6. 0 2. 7 1. 7 2. 4 (1 )

7 0 121 0 215 0 337 1 417 3 416 8 360 2 427 6 34 3 Ca r Count s (2 )
8 7 69 6 67 5 54 5 46 3 40 9 35 4 84 2 13 9 (3 )

2 7 13 6 16 8 13 9 13 7 15 8 16 0 52 9 3 7 (4 )
8494 4 67437 2 66045 1 48698 0 29386 3 14713 8 6482 8 3827 2 6127 8 Tota l

8512 8 67641 4 66344 4 49103 5 29863 6 15187 3 6894 4 4391 9 6179 7 pe r 100 0 To t

(1 )
0. 8 1. 8 3. 2 6. 9 14. 0 27. 4 52. 2 97. 4 5. 6 (2 )
1. 0 1. 0 1. 0 1. 1 1. 6 2. 7 5. 1 19. 2 2. 2 (3 )
0. 3 0. 2 0. 3 0. 3 0. 5 1. 0 2. 3 12. 0 0. 6 a l
(5 )
1. 3 1. 2 1. 3 1. 4 2. 0 3. 7 7. 5 31. 2 2. 8

Al l 100. 0 2336 3 421 0 149 1 251212 6 254119 0 9. 2 1. 7 0. 6 2. 2

(1 ) Vehicl e wit hN o Fire , bu t wit hFue l Leak ; (2 ) Vehicl e wit hFire , Unknow ni f Fue l Leak ; (3 ) Vehicl e wit hFire , an dwit hFue l Leak ; (4 ) N o Fire , N o Fue l Leak ; (5 ) Fire , Irrespectiv e o f Fue l Leak , (2+3)

.Tabl e 25 . Occupant s o f Car s wit hFire ; Michiga n1978-1984 . Occupan t Counts , Accordin gto Fir e and/o r Fue l Leak , an

dInjury

Rate s pe r 100 0 Acciden t Involve dCa r Occupants , a s a Functio no f Cras hSeverit y

(TAD) , a t (K+A+B ) Injury Severitie s

Count s o f Injure dCa r Occupant s Cras ha t K , A , o r B Injury Severitie s Sever . Fre q TAD7. (1 ) (2 ) (3 ) (4 ) (5 ) Tota l

1 3. 3 1 7 1 2 3 61 5 63 5 2 26. 6 5 6 1 2 8 2 0 602 6 610 2 3 26.1 15 9 2 9 1 1 4 0 1421 5 14421 4 4 5 31. 1 137 7 16 1 5 7 21 8 7024 4 7183 9 6 7 8 10. 4 614 3 74 4 48 3 122 7 8929 6 9666 6 9 2. 4 9 8 7 5 1 2 244 0 255 0

Count s o f Al l Ca r Occupant s Cras h Sever . TAD
1 2 3 4 5 6 7 8 9 Fre q

%
3. 3 26. 6 26.1 31. 1 10. 4 2. 4 (1 )

7 0 121 0 215 0 754 4 1204 6 34 3 Inv

o (2 )
8 7 69 6 67 5 100 8 160 5 13 9 lved
(3 )

2 7 13 6 16 8 27 6 84 7 3 7 i nAccident s (4 )

11 4 83 2 84 3 128 4 245 2 17 6 (5 )
8494 4 67437 2 66045 1 78084 3 25023 8 6127 8 Tota l

8512 8 67641 4 66344 4 78967 1 26473 6 6179 7 Injury Rate s o f Ca r Occupant s a t K , A , o r B Injury Severitie s

TAD
(1 ) (2 ) (3 ) (4 ) (5 ) Cras h

Sever . TAD

1 2 3 4 5 6 7 8 9 Fre q
•/ • 3. 3 26. 6 26. 1 31. 1 10. 4 2. 4 (1 )

242. 9 46. 3 74. 0 182. 5 510. 0 285. 7

Scal e o f Damag e Severity : Severity ; 9 Vehicl e witt
Unknown .

» No Fire , bu t Vehicl e wit hFire , Vehicl e with» Fire , Fire , Irrespectiv e No Fire , No pe r 100 0 Involve di n (2 )
11. 5 17. 2 43. 0 159. 7 463. 6 50. 4

l=Non e (3 ) (4 )

74. 1 26. 3 58. 8 24. 0 65. 5 47. 4 206. 5 169. 8 570. 2 500. 4 135. 1 68. 2

; 2- 8 Increas i
wit hFue l Leak ; Unknowni f Fue l Leak ; an dwi o f Fu e Fue l Leak . thFue l

1 Leak , Leak ;

(2+3) ; Accident s

(5 ) Tota l

7. 2 7. 5 8. 9 9. 0 21. 5 21. 7 90. 0 91. 0 356. 8 365.1 39. 8 41. 3

ngDamag eTabl e 26

. Occupant s o f Car s wit hFire ; Michiga n1978-1984. , Occupan t Counts , Accordin g t o Fir e and/o r Fue l Leak , an dInjur yRate s pe r 100 0 Acciden t Involve dCa r Occupants , a s a Functio no f Cras hSeverit y(TAD) , a t (K+A ) Injur ySeveritie s

Cras h Sever

. TA D
1 2 3 4 5 6 7 8 9

Cras h Sever

. TA D
1 2 3 4 5 6 7 8 ? Fre q

y . 3. 3 26. 6 26. 1 31. 1 10. 4 2. 4

Fre q y . 3. 3 26. 6 26. 1 31. 1 10.4 2. 4 Count s c

(1 )
8 1 6 4 0 37 9 331 7 4 8 f In j a t Ko r A

I (2 )

— 3 7 4 1 42 2 4

Count s

(1 )

7 0 121 0 215 0 754 4 1204 6 34 3 Inv o

(2 )
8 7 69 6 67 5 100 8 160 5 13 9 (3 )

1 2 4 2 1 33 3 3 ure dCa r Occupant s njur y (4 )
1 5 1 1 6 2 75 5 7

o f Al l Ca r lve d
(3 )

2 7 13 6 16 8 27 6 84 7 3 7 Severitie s

(5 )
17 0 108 2 228 9 1386 3 3521 8 74 0
Occupan t i nAccident s (4 )
11 4 83 2 84 3 1284 245 2 17 6 (5 )
8494 4 67437 2 66045 1 78084 3 25023 8 6127 8 Tota l

17 9 110 3 234 0 1430 4 3929 0 79 5

5

Tota l
8512 8 67641 4 66344 4 78967 1 26473 6 6179 7

Cras h Sever

. TA D Fre q

y. Injur yRate s o f Ca r Occupant s

a t Ko r AInjur ySeveritie s pe r 100 0 Involve di nAccident s (1 ) (2 ) (3 ) (4 ) (5 ) Tota l

1 2 3 4 5 6 7 8 9 3. 3

26. 6 26. 1 31. 1 10. 4 2. 4 114. 3

13. 2 18. 6 50. 2 275. 4 139. 9 4. 3

10. 4 40. 7 262. 9 28. 8 37. 0

14. 7 23. 8 76. 1 393. 2 81. 1 6. 0

13. 6 48. 3 307. 9 39. 8 2. 0

1. 6 3. 5 17. 8 140. 7 12. 1 1. 6

3. 5 18. 1 148. 4 12. 9

l=None ; 2- 8 Increasin g Damag e TA D Scal e o f Damag e Severity : Severity ; 9 Unknown

. (1 ) Vehicl e wit hN o Fire , bu t wit hFue l Leak ; (2 ) Vehicl e wit hFire , Unknow ni f Fue l Leak ; (3 ) Vehicl e wit hFire , an dwit hFue l Leak ; (4 ) Fire , Irrespectiv e o f Fue l Leak , (2+3) ; (5 ) N o Fire , N o Fue l Leak

.Tabl e 27 . Ca r Fire s i nthe Stat e o f Michiga n1978-1984 . Count s o f Cars , Accordin gto Fir e and/o r Fue l Leak , an

dIncidenc e Rate s pe r 100 0 Acciden t Involve d Cars , a s a Functio no f Mode l Yea r

Lea kor Fir e Rate s Ca r Moto r Vehicl e Count s pe r 100 0 Tota l Mode l Fre q• Yea r 7. (1 ) (2 ) (3 ) (4 ) Tota l (1 ) (2 ) (3 ) (5 )
Pre-6 6 2. 1 85 5 10 5 4 4 53161 5416 5 15. 8 1. 9 0.. 8 2. 8 6 6 0. 7 43 2 4 1 1 7 1747 0 1796 0 24. 1 2. 3 0.. 9 3. 2 6 7 1. 1 60 2 4 6 3 2 2742 7 2810 7 21. 4 1. 6 1, 1 2. 8 6 8 1. 8 97 5 9 3 4 6 4574 4 4685 8 20. 8 2. 0 1. 0 3. 0 6 9 2. 5 124 2 13 8 6 6 6153 6 6298 2 19. 7 2. 2 1. 0 3. 2 7 0 3. 4 158 7 15 8 7 8 8364 6 8546 9 18. 6 1. 8 0„ 9 2. 8 7 1 4. 5 184 6 21 6 9 9 11150 1 11366 2 16. 2 1. 9 0. 9 2. 8 7 2 6. 5 233 3 33 2 14 3 16300 6 16581 4 14. 1 2. 0 0, 9 2. 9 7 3 8. 0 243 1 44 2 15 2 20138 9 20441 4 11. 9 2. 2 0. 7 2. 9 7 4 7. 5 197 0 43 0 13 4 18908 7 19162 1 10. 3 2. 2 0. 7 2. 9 7 5 6. 6 140 1 31 0 10 3 16715 8 16897 2 8. 3 1. 8 0. 6 2. 4 7 6 8. 9 165 7 33 9 11 3 22489 5 22700 4 7. 3 1. 5 0. 5 2. 0 7 7 11. 1 169 6 37 4 12 0 27925 4 28144 4 6. 0 1. 3 0. 4 1. 8 7 8 10. 7 151 2 39 5 11 5 26995 5 27197 7 5. 6 1. 5 0. 4 1. 9 7 9 8. 2 114 6 29 4 9 0 20765 9 20918 9 5. 5 1. 4 0. 4 1. 8 8 0 5. 2 58 6 18 0 4 7 13188 4 13269 7 4. 4 1. 4 0. 4 1. 7 8 1 3. 8 42 6 12 5 3 1 9626 4 9684 6 4. 4 1. 3 0. 3 1. 6 8 2 3. 1 28 7 9 3 2 6 7827 9 7868 5 3. 6 1. 2 0. 3 1. 5 8 3 2. 3 20 0 5 9 2 1 5919 2 5947 2 3. 4 1. 0 0. 4 1. 3 8 4 1. 6 16 8 3 8 1 4 4117 7 4139 7 4. 1 0. 9 0. 3 1. 3


### Al l 100. 0 2336 3 421 0 149 1 251212 6 254119 0 9. 2 1. 7 0. 6 2. 2

(1 ) (2 ) (3 ) (4 ) (5 ) Vehicl e wit hNo Fire , bu t wit hFue l Leak ; Vehicl V

wit hFire , Unknownif " Fue l Leak ; Vehicl e wit hFire , an dwit hFue l Leak ; No Fire , No Fue l Leak ; Fire , Irrespectiv e o f Fue l Leak , (2+3) .P.5 1

Tabl e 28-a

. Ca r Fire s i nth e Stat e o f Michiga n1978-1984

.

Count s o f Cars , Accordin g t o Fir e and/o r Fue l Leak , an dIncidenc e Rate s pe r 100 0 Acciden t Involve d Cars , a s a Functio no f Mode l Yea r an dCa r Ag e

Lea k o r Fir e Rate s Ca r Moto r Vehicl e Count s pe r 100 0 Tota l Mode l Fre q
Yea r % (1 ) (2 ) (3 ) (4 ) Tota l (1 ) (2 ) (3 ) (5 )
0 t o 5 Yea r Ol dCar s
7 3 4. 0 66 6 9 4 4 0 5676 0 5756 0 11. 6 1. 6 0. 7 2. 3 7 4 6. 5 92 0 16 9 5 9 9183 4 9298 2 9. 9 1. 8 0. 6 2. 5 7 5 7. 1 79 3 17 6 6 6 10160 7 10264 2 7. 7 1. 7 0, 6 2. 4 7 6 9. 2 88 4 17 8 6 1 13157 4 13269 7 6. 7 1. 3 0. 5 1. 8 7 7 14. 1 1174 24 7 9 0 20240 2 20391 3 5. 8 1. 2 0. 4 1. 7 7 8 16. 0 127 1 32 3 9 7 22910 7 23079 8 5. 5 1. 4 0. 4 1. 8 7 9 14.5 114 6 29 4 9 0 20765 9 20918 9 5. 5 1. 4 0. 4 1. 8 8 0 9. 2 58 6 18 0 4 7 13188 4 13269 7 4. 4 1. 4 0. 4 1. 7 8 1 6. 7 42 6 12 5 3 1 9626 4 9684 6 4. 4 1. 3 0. 3 1. 6 8 2 5. 5 28 7 9 3 2 6 7827 9 7868 5 3. 6 1. 2 0. 3 1. 5 8 3 4. 1 20 0 5 9 2 1 5919 2 5947 2 3. 4 1. 0 0. 4 1. 3 8 4 2. 9 16 8 3 8 14 4117 7 4139 7 4. 1 0. 9 0. 3 1. 3 Al l 100. 0 853 2 197 8 64 2 143018 1 144133 3 i. 9 1. 4 0. 4 1. 8

0 t o 3 Yea r Ol dCar s
7 5 7 6 7 7 7 8 7 9 8 0 8 1 8 2 8 3 8 4


### Al l 4. 2 10. 2 17. 1 15. 8 13. 6 10. 2 10. 1 8. 2 6. 2 4. 3
100. 0 32 0

64 2 94 9 82 3 68 8 40 6 42 6 28 7 20 0 16 8
492 0 6 6 13 1 19 2 18 6 17 6 12 9 12 5 9 3 5 9 3 8
119 7 3 0 4 5 6 8 6 7 6 3 3 3 3 1 2 6 2 1 1 4

39 8 3981 9

9728 8 16277 9 15053 2 12935 1 9727 9 9626 4 7827 9 5919 2 4117 7
95440 2 4023 5

9810 6 16398 8 15160 8 13027 8 9784 7 9684 6 7868 5 5947 2 4139 7
96091 7 8. 0

6

. w i 5. 8 5. 4 5. 3 4. 1 4. 4 3. 6 3. 4 4. 1
5. 1 1. 6 1. 3 1. 2 1. 2 1. 4 1. 3 1. 3 1. 2 1. 0 0. 9
1. 2 0. 7 0. 5 0. 4 0. 4 0. 5 0. 3 0. 3 0. 3 0. 4 0. 3
0. 4 2. 4 1. 8 1. 6 1. 7 1. 8 1. 7 1. 6 1. 5 1. 3 1. 3
1. 7

(1 ) Vehicl e wit hN o Fire , bu t wit hFue l Leak ; (2 ) Vehicl e wit hFire , Unknow ni f Fue l Leak ; (3 ) Vehicl e wit hFire , an dwit hFue l Leak ; (4 ) N o Fire , N o Fue l Leak ; (5 ) Fire , Irrespectiv e o f Fue l Leak , (2+3)

.Tabl e 28-b

. Ca r Fire s i nth e Stat e o f Michiga n1978-1984

. Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve d Cars , a s a Functio no f Mode l Yea r andCa r Ag e

Fir e Rate s pe r 100 0 Acciden t Involve dCar s b yCa r Ag e Mode l Yea r
re-6 6 6 6 6 7 6 8 6 9 7 0 7 1 7 2 7 3 7 4 7 5 7 6 7 7 7 8 7 9 8 0 8 1 8 2 8 3 8 4 Al l

2. 8 3. 2 2. 8 3. 0 3. 2 2. 8 2. 8 2. 9 2. 9 2. 9 2. 4 2. 0 1. 8 1. 9 1. 8 1. 7 1. 6 1. 5 1. 3 1. 3 < 6 Yr s

— —

2. 3 2. 5 2. 4 1. 8 1. 7 1. 8 1. 8 1. 7 1. 6 1. 5 1. 3 1. 3 < 4 Yr s

———— —

2. 4 1. 8 1. 6 1. 7 1. 8 1. 7 1. 6 1. 5 1. 3 1. 3
Al l 2. 2 1. 8 1. 7P.5 3

Tabl e 29 . Ca r Fire s i nth e Stat e o f Michiga n1978-1984 .

Count s o f Cars , Accordin gto Fir e and/o r Fue l Leak , an

dIncidenc e Rate s pe r 100 0 Acciden t Involve dCars , a s a Functio no f Ca r Mak e

Lea kor Fir e Rate s Ca r Count s pe r 100 0 Tota l Fre q— Ca r Mak e 7. (1 ) (2 ) (3 ) (4 ) Tota l (1 ) (2 ) (3 ) (5 )

A m Motor s 2. 6 82 7 12 3 3 7 6398 4 6497 1 12. 7 1. 9 0. 6 2. 5 Buic k7. 6 129 8 30 0 9 4 19113 3 19282 5 6. 7 1. 6 0. 5 2. 0 Cadilla c 2. 4 33 0 11 2 1 9 6025 4 6071 5 5. 4 1. 8 0. 3 2. 2 Chevrole t 22. 8 535 7 90 5 32 7 57225 6 57884 5 9. 3 1. 6 0. 6 2. 1 Chrysle r 2. 7 49 6 11 7 4 9 6886 1 6952 3 7. 1 1. 7 0. 7 2. 4 Dodg e 5. 1 141 1 21 4 8 0 12805 1 12975 6 10. 9 1. 6 0. 6 2. 3 For d17. 4 467 2 73 6 29 8 43694 7 44265 3 10. 6 1. 7 0. 7 2. 3 Lincol n1. 1 14 6 5 3 1 8 2799 2 2820 9 5. 2 1. 9 0. 6 2. 5 Mercur y

4. 9 108 9 21 3 7 8 12275 6 12413 6 8. 8 1. 7 0. 6 2. 3 Old s 9. 6 163 6 37 4 9 5 24188 8 24399 3 6. 7 1. 5 0. 4 1. 9 Plymout h6. 2 167 4 24 0 9 0 15589 5 15789 9 10. 6 1. 5 0. 6 2. 1 Pontia c 9. 2 195 9 40 5 15 8 23017 8 23270 0 8. 4 1. 7 0. 7 2. 4 Volkswa g1. 8 58 1 13 1 4 1 4426 3 4501 6 12. 9 2. 9 0. 9 3. 8 Oth r Im

p5. 0 125 4 19 4 7 7 12628 5 12781 0 9. 8 1. 5 0. 6 2. 1 Oth r Do

m 1. 7 63 3 9 3 3 0 4138 3 4213 9 15. 0 2. 2 0. 7 2. 9

Al l 100. 0 2336 3 421 0 149 1 251212 6 254119 0 9. 2 1. 7 0. 6 2. 2

(1 ) Vehicl e wit hNo Fire , bu t wit hFue l Leak ; (2 ) Vehicl e wit hFire , Unknowni f Fue l Leak ; (3 ) Vehicl e wit hFire , andwit hFue l Leak ; (4 ) No Fire , No Fue l Leak ; (5 ) Fire , Irrespectiv e o f Fue l Leak , (2+3) .Tabl e 30

. Ca r Fire s i nth e Stat e o f Michiga n1978-1984

. Count s o f Cars , Accordin g t o Fir e and/o r Fue l Leak , an dIncidenc e Rate s pe r 100 0 Acciden t Involve dCars , a s a Functio no f Ca r Mak e (MYPost-75 )

Lea k o r Fir e Rate s

Ca r Mak e

A mMotor s B u i c k Cadilla c Chevrole t Chrysle r Dodg e 

### For d Lincol n Mercur y Old s Plymout h Pontia c Vo1 k swa g Oth r Im

p Oth r Do m Fre q

7.
2. 0 7. 6 2. 5 22. 6 2. 9 4. 7 16. 6 1. 3 5. 1 10. 0 5. 1 9. 4 1. 4 6. 8 2. 0 (1 )
19 1 38 6 14 2 1725 22 1 42 4 134 7 6 8 37 8 60. 1 41 2 65 1 16 0 63 8 34 5 Ca r (2 )
5 0 13 0 4 6 40 0 6 5 9 7 31 1 2 8 11 6 15 6 9 0 18 7 3 3 125 6 5 Coun t (3 )
1 1 3 9 1 3 13 9 2 3 3 1 105 6 2 2 4 1 2 1 6 6 9 3 9 1 2 s (4 )
2771 4 10638 6 3541 3 31395 6 4031 2 6472 3 23090 8 1789 1 7147 3 13878 2 7108 2 13043 5 1895 5 9479 2 2817 9 Tota l

2796 6 10694 1 3561 4 31622 0 4062 1 6527 5 23267 1 1799 3 7198 9 13958 0 7160 5 13133 9 1915 7 9559 4 2860 1 pe r

(1 )
6. 8 3. 6 4. 0 5. 5 5. 4 6. 5 5. 8 3. 8 5. 3 4. 3 5. 8 5. 0 8. 4 6. 7 12. 1 100 0 Tota l
(2 )
1. 8 1. 2 1. 3 1. 3 1. 6 1. 5 1. 3 1. 6 1. 6 1. 1 1. 3 1. 4 1. 7 1. 3 2. 3 (3 )
0. 4 0. 4 0. 4 0. 4 0. 6 0. 5 0. 5 0. 3 0. 3 0. 3 0. 3 0. 5 0. 5 0. 4 0. 4 (5 )
2. 2 1. 6 1. 7 1. 7 2. 2 2. 0 1. 8 1. 9 1. 9 1. 4 1. 6 1. 9 2. 2 1

. 7 2. 7

Al l 100. 0 768 9 189 9 57 7 139100 1 140116 6 1. 4 0. 4 1. 8

(1 ) Vehicl e wit hN o Fire , bu t wit hFue l Leak ; (2 ) Vehicl e wit hFire , Unknow ni f Fue l Leak ; (3 ) Vehicl e wit hFire , an dwit hFue l Leak ; (4 ) N o Fire , N o Fue l Leak ; (5 ) Fire , Irrespectiv e o f Fue l Leak , (2+3)

.Tabl e 31-a

. Ca r Fire s i nth e Stat e o f Michiga n1978-1984

. Count s o f Cars , Accordin g t o Fir e and/o r Fue l Leak , an dIncidenc e Rate s pe r 100 0 Acciden t Involve dCars , a s a Functio no f Ca r Mak e (MYPost-80 )

Lea k o r Fir e Rate s Ca r Count s pe r 100 0 Tota l Fre q: Ca r Mak e */

• (1 ) (2 ) (3 ) (4 ) Tota l (1 ) (2 ) (3 ) (5 )

A mMotor s 2. 1 4 3 1 5 3 875 1 881 2 4. 9 1. 7 0. 3 2. 0 Buic k 9. 0 10 5 3 2 1 1 3684 4 3699 2 2. 8 0. 9 0. 3 1. 2 Cadilla c 2. 3 3 3 9 1 957 3 961 6 3. 4 0. 9 0. 1 1. 0 Chevrole t 20. 8 34 0 11 5 2 5 8524 1 8572 1 4. 0 1. 3 0. 3 1. 6 Chrysle r 2. 2 3 5 1 4 8 903 4 909 1 3. 8 1. 5 0. 9 2. 4 Dodg e 5. 3 9 5 3 3 1 2 2146 9 2160 9 4. 4 1. 5 0. 6 2. 1 For d14. 9 26 1 6 4 2 0 6079 3 6113 8 4. 3 1. 0 0. 3 1. 4 Lincol n0. 9 1 4 7 1 365 9 368 1 3. 8 1. 9 0. 3 2. 2 Mercur y5. 2 8 9 3 2 4 2123 5 2136 0 4. 2 1. 5 0. 2 1. 7 Old s 9. 5 135 3 9 1 2 3901 7 3920 3 3. 4 1. 0 0. 3 1. 3 Plymout h5. 2 8 7 1 9 7 2125 0 2136 3 4. 1 0. 9 0. 3 1. 2 Pontia c 8. 9 113 4 4 1 9 3636 9 3654 5 3. 1 1. 2 0. 5 1. 7 Volkswa g 1. 6 4 2 1 1 0 669 5 674 8 6. 2 1. 6 0. 0 1. 6 Oth r Im

p 9. 9 21 7 4 0 1 3 4034 2 4061 2 5. 3 1. 0 0. 3 1. 3 Oth r Do m

2. 2 6 9 2 3 3 896 6 906 1 7. 6 2. 5 0. 3 2. 9

Al l 100. 0 167 8 49 7 13 9 40923 8 41155 2 4. 1 1. 2 0. 3 1. 5

(1 ) Vehicl e wit hN o Fire , bu t wit hFue l Leak ; (2 ) Vehicl e wit hFire , Unknow ni f Fue l Leak ; <3 ) Vehicl e wit hFire , an dwit hFue l Leak ; (4 ) N o Fire , N o Fue l Leak ; (5 ) Fire , Irrespectiv e o f Fue l Leak , (2+3)

.P.5 6

Tabl e 31-b

. Ca r Fire s i nth e Stat e o f Michiga n1978-1984

.

Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve d, Cars , a s a Functio no f Mak e an dMode l Yea r I

Fir e Rate s pe r 100 0 Acciden t Involve dCar s b y Mode l Yea r
Ca r Mak e

Am Motor s Buic k Ca di11a c Chevrole t Chrysle r Dodg e For d Lincol n Mercur y Old s Plymout h Pontia c Volkswa g Oth r Im

p Oth r Do m Al l

2. 5 2. 0 2. 2 2. 1 2. 4 2. 3 2. 3 2. 5 2. 3 1. 9 2. 1 2. 4 3. 8 2. 1 2. 9 Post-7 5

2. 2 1. 6 1. 7 1. 7 2. 2 2. 0 1. 8 1. 9 1. 9 1. 4 1. 6 1. 9 2. 2 1. 7 2. 7 Post-8 0

2. 0 1. 2 1. 0 1

. 6 2. 4 2. 1 1. 4 2. 2 1. 7 1. 3 1. 2 1. 7 1. 6 1. 3 2. 9

Al l 2. 2 1. 8 I. iTabl e 32

. Moto r Vehicl e Fire s i nth e Stat e o f Marylan d1978-1984

. Counts'o f Moto r Vehicles , Accordin g t o Fire' s Rol e i n th e Acciden t an dDamage ; Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve dMV , a s a Functio no f Bodytyp e

Bod y Typ e M/ C Ca r S.W

. LT V Truc k HD T Othe r Fre q

y . 1. 4 69. 8 5. 7 10. 0 2. 3 1

. 6 9. 2 ( 1 )

2397 7 122650 9 10010 3 17551 1 4076 7 2856 0 16094 9 Ca r

(2 )
1 1 165 6 24 2 32 3 135 17 6 8 1 Coun t
(3 )
6 45 0 5 8 8 7 3 4 3 6 3 3 s (4 )
5 6 77 1 7 0 13 5 4 8 6 8 6 2 Tota l
2405 0 122938 6 10047 3 17605 6 4098 4 2884 0 16112 5 Ca r Fir e Ra t

pe r 100 0 To t
(2 )
0. 5 1. 3 2. 4 1. 8 3. 3 6. 1 0. 5 (3 )
0. 2 0. 4 0. 6 0. 5 0. 8 1. 2 0. 2 (4 )
2. 3 0. 6 0. 7 0. 8 H. 2 2. 4 0. 4 e s a l
(5 )
3. 0 2. 3 3. 7 3. 1 5. 3 9. 7 1. 1

Al l 100. 0 175637 6 262 4 70 4 121 0 176091 4 i. : 0. 4 0. 7 2. 6

(1 ) N o Fire ; (2 ) Fir e Principa l Caus e o f Accident , Fir e Damage ; (3 ) Fir e Principa l Caus e o f Accident , N o Fir e Damage ; (4 ) Fire , no t th e Principa l Caus e o f Accident , Fir e Damage ; (5 ) = (2)+(3)+(4)

.Tabl e 33

. Ca r Fire s i nth e Stat e o f Marylan d1978-1984

. Count s o f Cars , Accordin g t o Fire' s Rol e i n th e Acciden t andDamage ; Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve dCars , a s a Functio n o f Calenda r Yea r

Ca l

. Yea r
7 8 7 9 8 0 8 1 8 2 8 3 8 4
Al l ( 1 )

25158 5 22242 5 17059 4 16783 6 16570 4 17096 7 17750 1
132661 2 Ca r

(2 )
28 6 27 4 20 4 19 5 28 7 31 5 33 7
189 8 Count s (3 )
6 8 9 0 5 5 7 5 9 1 8 0 4 9
50 8 (4 )

12 9 12 7 105 11 1 11 5 11 9 13 5
84 1 Tota l

25206 8 22291 6 17095 8 16821 7 16619 7 17148 1 17802 2
132985 9 Ca r Fir e Ra t

pe r 100 0 To t (2 )
1. 1 1. 2 1. 2 1. 2 1. 7 1. 8 1. 9
1. 4 (3 )
0. 3 0. 4 0. 3 0. 4 0. 5 0. 5 0. 3
0. 4 (4 )

0. 5 0. 6 0. 6 0. 7 0. 7 0. 7 0. 8
0. 6 e s a l

(.5 )
1. 9 2. 2 2. 1 2. 3 3. 0 3. 0 2. 9
2. 4

(1 ) N o Fire ; (2 ) Fir e Principa l Caus e o f Accident , Fir e Damage ; (3 ) Fir e Principa l Caus e o f Accident , N o Fir e Damage ; (4 ) Fir e no t th e Principa l Caus e o f Accident , Fir e Damage ; ( 5 ) = (2 ) + ( 3 ) + ( 4 )

.Tabl e 34

. Ca r Fire s i nth e Stat e o f Marylan d1978-1984

. Count s o f Cars , Accordin g t o Fire' s Rol e i n th e Acciden t andDamage ; Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve dCars , a s a Functio n o f Mont h

Mont h

1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 ( 1 )
11019 4 10169 7 10685 0 10748 9 12083 1 10897 5 10465 9 10731 0 10601 9 11574 3 11185 5 12316 2 

### Car

(2 )
12 7 11 3 12 0 16 4 20 1 19 4 23 0 21 7 15 0 13 0 13 4 11 7 

### Cou

r (3 )
3 2 3 3 4 0 4 6 4 7 3 3 5 4 4 3 4 7 5 2 4 1 4 0 it s (4 )

6 1 5 5 5 1 6 8 7 8 8 8 7 2 6 3 8 1 6 4 6 4 9 6 

### Tota l

11041 4 10189 8 10706 1 10776 7 12115 7 10929 0 10501 5 10763 3 10629 7 11598 9 11209 4 12341 5 C a r Fir e Ra t

pe r 100 0 To t
(2 )
1. 2 1. 1 1. 1 1. 5 1. 7 1. 8 2. 2 2. 0 1. 4 1. 1 1. 2 0. 9 (3 )
0. 3 0. 3 0. 4 0. 4 0. 4 0. 3 0. 5 0. 4 0. 4 0. 4 0. 4 0. 3 (4 )
0. 6 0. 5 0. 5 0. 6 0. 6 0. 8 0. 7 0. 6 0. 8 0. 6 0. 6 0. 8 E? S a l
(5 )

2. 0 2. 0 2. 0 2. 6 2. 7 2. 9 3. 4 3. 0 2. 6 2. 1 2. 1 2. 0

Al l 132661 2 189 8 50 8 84 1 132985 9 1. 4 0. 4 0. 6 2. 4

( 1 ) N o Fire ; (2 ) Fir e Principa l Caus e o f Accident , Fir e Damage ; (3 ) Fir e Principa l Caus e o f Accident , N o Fir e Damage ; (4 ) Fir e no t th e Principa l Caus e o f Accident , Fir e Damage ? (5 ) = (2)+(3)+(4)

.Tabl e 35

. Ca r Fire s i nth e Stat e o f Marylan d1978-1984

. Count s o f Cars , Accordin g t o Fire' s Rol e i n th e Acciden t andDamage ; Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve dCars , a s a Functio n o f Mode l Yea r

(1 ) (2 ) (3 ) (4 ) (5 ) Mr.ric noae i Yea r
Pre-6 6 6 6 6 7 6 8 6 9 7 0 7 1 7 2 7 3 7 4 7 5 7 6 7 7 7 8 7 9 8 0 3 1 8 2 8 3 8 4
Al l

N o Fir e Fir e Fir e Fir e

= (2 ) P r P r n o (1 )
3704 5 1706 9 2320 1 3402 4 4482 2 5622 3 6659 6 8736 8 10412 9 9632 1 8272 8 11317 7 12777 3 13121 3 10546 7 6980 8 5079 1 3555 1 2605 0 1640 6
132661 2

; incipa l incipa i t th e P r +(3)+(4)

. Ca r

(2 )

7 7 3 4 6 4 7 5 12 4 134 14 0 14 9 20 7 21 3 17 2 12 4 10 3 8 2 8 1 5 9 3 1 1 3 1 1 4
189 8

Caus e Caus e incip a Count s

(3 )
1 8 3 1 6 1 3 3 1 1 9 3 9 4 5 5 2 4 5 3 6 5 0 3 6 4 1 2 7 1 5 8

. 7 2 0
50 8 (4 )
3 0 2 3 1 6 3 2 4 2 4 2 5 8 7 9 7 0 6 8 7 4 6 0 5 9 5 1 51

- 3 6 2 3 1 0 6 8
84 1

o f Acci d o f Acci d i l Caus e Tota l

3717 0 1713 4 2329 7 3414 4 4501 9 5641 8 6683 3 8764 1 10445 8 9664 7 8301 0 11341 1 12797 1 13138 7 10562 6 6991 8 5085 3 3558 1 2606 9 1641 8
132985 9

ent , Fir e ent

. N o F Ca r Fi r e Ra t

pe r 100 0 To t
(2 )
2. 1 2. 0 2. 7 2. 2 2. 8 2. 4 2. 1 1. 7 2. 0 2. 2 2. 1 1. 1 0. 8 0. 6 0. 8 0. 8 0. 6 0. 4 0. 4 0. 2
1. 4 (3 )
0. 5 0. 5 0. 7 0. 4 0. 7 0. 3 0. 6 0. 5 0. 5 0. 5 0. 4 0. 4 0. 3 0. 3 0. 3 0. 2 0. 2 0. 2 0. 1 0. 0
0. 4

Damage ; ir e Damag e o f Accident , F (4 )
0. 8 1. 3 0. 7 0. 9 0. 9 0. 7 0. 9 0. 9 0. 7 0. 7 0. 9 0. 5 0. 5 0. 4 0. 5 0. 5 0. 5 0. 3 0. 2 0. 5
0. 6

; ir e Damag e e s

a l
(5 )
3. 4 3. 8 4. 1 3. 5 4. 4 3. 5 3. 5 3. 1 3. 1 3. 4 3. 4 2. 1 1. 5 1. 3 1. 5 1

. 6 1. 2 0. 8 0. 7 0. 7
2. 4

•

"1P.6 1

Tabl e 36

. Ca r Fire s i nth e Stat e o f Marylan d1978-1984

.

Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve d Cars , a s a Functio no f Mode l Yea r andCa r Ag e

Fir e Rate s pe r 100 0 Acciden t Involve dCar s byCa r Ag e Mode l Yea r
Pre-6 6 6 6 6 7 6 8 6 9 7 0 7 1 7 2 7 3 7 4 7 5 7 6 7 7 7 8 7 9 8 0 8 1 8 2 8 3 8 4 Al l

3. 4 3. 8 4. 1 3. 5 4. 4 3. 5 3. 5 3. 1 3. 1 3. 4 3. 4 2. 1 1. 5 1. 3 1. 5 1. 6 1. 2 0. 8 0. 7 0. 7 < 6 Yr s

2. 3 2. 2 2. 6 1. 5 1. 2 1. 2 1. 5 1. 6 1. 2 0. 8 0. 7 0. 7 < 4 Yr s

2. 2 1. 2 0. 8 0. 8 1. 1 1. 3 1. 2 0. 8 0. 7 0. 7
Al l 2. 4 1. 5 1. 1Tabl e 37

. Ca r Fire s i nth e Stat e o f Marylan d1978-1984

. Count s o f Cars , Accordin g t o Fire' s Rol e i n th e Acciden t andDamage ; Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve dCars , a s a Functio n o f Car' s Mak e

Ca r Mak e

A mMotor s Aud i B u i c k BM W Cad i 1 la c Chevrole t Chrysle r Dodg e Fia t For d Hond a Lincol n Mazd a Mercede s Mercur y M G Nissa n Old s Ope l Plymout h Pontia c Renaul t Subar u Toyot a V o 1 v o V W Othe r Fre q

1. 8 0. 3 4. 8 0. 2 2. 1 21. 7 2. 0 6. 0 0. 4 19. 2 1. 4 

### o. a 0. 4 0. 2 4. 1 0. 2 3. 2 5. 0 0. 2 6. 2 6. 7 0. 1 0. 2 3. 6 0. 6 3. 3 5. 2 ( 1 )

2396 6 341 6 6365 2 262 9 2846 3 28837 8 2664 4 7984 9 514 5 25484 8 1844 6 1050 5 515 0 257 6 5452 1 327 4 4201 7 6581 3 331 1 81S3 4 8908 3 173 1 312 8 4791 7 777 4 4394 1 6860 1 Ca r

(2 )

4 0 1 1 7 8 8 4 8 25 7 2 8 7 1 2 4 35 5 5 1 5 3 2 8 7 4 1 1 9 8 9 7 3 12 4 4 0 9

. 1 0 41 6 10 8 Coun t
(3 )

7 9 1 6 1 1 2 8 2 6 2 3 7 10 2 1 5 1 2 2 4 2 6 2 7 2 2 2 3 3 0 1 7 2 7 8 3 0 s
(4 >

1 0 3 3 1 0 2 2 15 7 1 9 4 8 4 17 5 8 1 3 1 1 3 8 3 1 5 4 4 1 4 8 5 2 1 4 1 8 6 6 7 5 2 Tota l

2402 3 343 9 6377 7 263 8 2854 5 28887 4 2669 7 7999 1 518 0 25548 0 1846 0 1053 8 515 5 258 1 5467 0 328 3 4204 9 6598 2 332 3 8197 7 8929 2 173 6 313 3 4795 1 779 2 4450 2 6879 1 C a " Fir e Ra t

pe r 10 0
(2 )

1. 7 3. 2 1. 2 3. 0 1. 7 0. 9 1. 0 0. 9 4. 6 1. 4 0. 3 1. 4 0. 6 0. 8 1. 6 1. 2 0. 3 1. 5 2. 7 0. 9 1. 4 2. 3 0. 0 0. 2 1. 3 9. 3 1. 6 (3 )

0. 3 2. 6 0. 3 0. 4 0. 4 0. 3 0. 2 0. 3 1. 4 0. 4 0. 1 0. 5 0. 2 0. 8 0. 4 0. 6 0

. 1 0. 4 0. 6 0. 3 0. 4 0. 0 0. 3 0. 1 0. 3 1. 8 0. 4 0 To t
(4 )

0. 4 0. 9 0. 5 0. 0 0. 8 0. 5 0. 7 0. 6 0. 8 0. 7 0. 4 1. 2 0. 2 0. 4 0

. 7 0. 9 0. 4 0. 7 0. 3 0. 6 0. 6 0. 6 1. 3 0. 4 0. 8 1. 5 0. 8 e s a l
(5 )

2. 4 6. 7 j 2. 0 3. 4 j 2. 9 1 1. 7 ! 2. 0 1. 8 | 6. 8 | 2. 5 j 0. 8 ! 

### 3. 1 

### 1 1

. 0 1. 9 - 2. 7 ! 2. 7 | 0. 8 | 2. 6 3.4 > 1. 7 2. 3 2. 9 ! 1. 6 0. 7 2. 3 i 12. 6 j 2. 8 !

Al l 100. 0 132661 2 189 8 50 8 84 1 132985 9 1. 4 0. 4 0. 6 2. 4

(1 ) N o Fire ; (2 ) Fir e Principa l Caus e o f Accident , Fir e Damage ; (3 ) Fir e Principa l Caus e o f Accident , N o Fir e Damage ; (4 > Fir e no t th e Principa l Caus e o f Accident , Fir e Damage ; ( 5 ) = ( 2 ) + ( 3 ) + ( 4 )Tabl e 38

. Ca r Fire s i nth e Stat e o f Marylan d1978-1984

. Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve d Cars , a s a Functio no f Mak e andMode l Yea r

Fir e Rate s pe r 100 0 Acciden t Involve dCar s byMode l Yea r
Ca r Mak e

A m M o t or s Aud i B u i c k BM W Cad i 1 la c Chevrole t Chrysle r Dodg e Fia t For d Hond a Lincol n Mazd a Mercede s Mercur y M G Nissa n Old s Ope l Plymout h Pontia c Renaul t Subar u Toyot a Volv o VW Othe r Al l

2. 4 6. 7 2. 0 3. 4 2. 9 1. 7 2. 0 1

. 8 6. 8 2. 5 0. 8 3. 1 1. 0 1

. 9 2. 7 2. 7 0. 8 2. 6 3. 6 1. 7 2. 3 2. 9 1. 6 0. 7 2. 3 12. 6 2. 8 Post-7 5

2. 9 6. 0 1. 4 2. 9 1. 2 1. 1 1. 7 1. 6

er C 1. 9 0. 7 1. 8 0. 9
1. 9 4. 5 0. 7 1. 1 1. 8 1. 5 1. 3 2. 0 1. 7 0. 6 0. 3 3. 4 2. 1 Post-8 0

3. 2 4. 5 1. 3 1. 4 2. 0 1. 3 2. 3 1. 6 2. 1 1. 4 0. 3 1. 1 0. 7
1. 5
0. 5 0. 8

1. 6 1. 2 0. 9 0. 6 0. 4 0. 7 1. 3 1. 6

Al l 2. 4 1. ! 1. 2Tabl e 39

. Ca r Fire s i n th e Stat e o f Ohi o 1982-1984

. Count s o f Cars , Accordin g t o a Fire' s Associatio n wit hth e Crash ; Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve d Cars , a s a Functio n o f Mode l Yea r

Mode l Yea r
Pre-6 6 6 6 6 7 6 8 6 9 7 0 7 1 7 2 7 3 7 4 7 5 7 6 7 7 7 8 7 9 8 0 8 1 8 2 8 3 3 4

Al l ( 1 )

3816 7 739 8 1011 6 1499 9 1996 9 2974 6 3720 2 5943 9 7760 9 8603 5 7552 9 10340 9 11726 4 12225 6 11604 8 9792 6 8734 9 7051 2 5126 1 3357 9

125736 5 Ca r

(2 )

11 1 1 6 2 7 3 7 6 4 7 2 11 3 15 9 19 7 23 5 17 7 19 4 17 4 21 2 17 9 13 8 11 5 9 0 6 3 5 0

243 0 Count s

(3 )

5 4 1 9

. 1 7 4 8 5 4 8 2 11 6 17 3 22 6 24 3 20 0 20 5 19 2 17 9 15 6 12 0 6 9 4 1 2 4 1 3

223 3 Tota l

3833 2 743 3 1016 0 1508 4 2008 7 2990 0 3743 1 5977 1 7803 2 8651 3 7590 6 10380 8 11763 0 12264 7 11638 3 9818 4 8753 3 7064 3 5134 8 3364 2

126202 8 Ca r

pe r
(2 )

2. 9 2. 2 2. 7 2. 5 3. 2 £. 4 3. 0 2. 7 2. 5 2. 7 2. 3 1. 9 1. 5 1. 7 1. 5 1

. 4 1. 3 1. 3 1

. 2 1. 5

1. 9 Fir e Rate s 100 0 Tota l
(3 )

1. 4 2. 6 1. 7 3. 2 2. 7 2. 7 3. 1 2. 9 2. 9 2. 8 2. 6 2. 0 1. 6 1. 5 1. 3 1. 2 0. 8 0. 6 0. 5 0. 4

1. 8 (4 >
4. 3 4. 7 4. 3 5. 6 5. 9 5. 2 6. 1 5. 6 5. 4
& c r 5. 0 3. 8 3. 1 3. 2 2. 9 2. 6 2. 1 1

. 9 1

. 7 1. 9

3. 7

(1 > N o Fire ; (2 ) Fir e Du e t o Crash ; (3 ) Othe r Fir e (Non-Cras h (4 ) = (2)+(3)

. o r Pre-Crash )Tabl e 40

. Ca r Fire s i nth e Stat e o f Ohi o 1982-1984

. Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve d Cars , a s a Functio no f Mode l Yea r andCa r Ag e

Fir e Rate s pe r 100 0 Acciden t Involve dCar s byCa r Ag e Mode l Yea r
Pre-6 6 6 6 6 7 6 8 6 9 7 0 7 1 7 2 7 3 7 4 7 5 7 6 7 7 7 8 7 9 

### a o 8 1 8 2 8 3 8 4 A l 1

4. 3 4. 7 4. 3 5. 6 5. 9 5. 2 6. 1 5. 6 5. 4

o . j 5. 0 3. 8 3. 1 3. 2 2. 9 2. 6 2. 1 1. 9 1. 7 1. 9 < 6 Yr s

3

. 1 3

. 1 2. 9 2. 6 2. 1 1. 9 1. 7 1. 9 < 4 Yr s

2. 6 2. 5 2. 1 1. 9 1. 7 1. 9

Al l 3. 7 

### 2

. 

### 1Tabl e 41

. Ca r Fire s i n th e Stat e o f Ohi o 1982-1984

. Count s o f Cars , Accordin g t o a Fire' s Associatio n wit hth e Crash ; Rate s o f Ca r Fire s pe r 100 0 Acciden t Involve d Cars , a s a Functio n o f Ca r Mak e

Ca r Mak e

B u i c k Cadilla c Chevrole t Chrysle r Dodg e For d Lincol n Mercur y Old s Plymout h Pon t la c A mMotor s Fia t Jee p Nissa n Toyot a Vo1kswa g Hond a Othe r
Al l Fre q

7.

7. 4 2

. 1 22. 9 2. 3 5. 1 15. 7 0. 9 4. 5 9. 4 5. 2 8. 5 2. 8 0. 3 0. 4 1. 8 2. 4 2. 2 1. 6 4. 5

100. 0 ( 1 )

9253 4 2580 7 28770 6 2910 0 6360 0 19780 0 1 107 0 5718 6 11811 2 6571 3 10664 4 3548 7 410 2 473 0 2303 4 3024 1 2758 8 2004 4 5681 7

125736 5 Ca r

(2 )

15 0 4 0 53 8 5 8 15 1 38 1 2 5 11 2 19 9 14 1 22 8 6 2 1 1 1 8 4 2 5 6 5 0 2 7 14 1

243 0 Count s

(3 )

15 3

. 6 3 44 1 3 9 6 5 40 7 3 2 11 5 18 4 7 6 16 7 8 2 1 9 1 1 1 7 1 3 24 6 1 3 9 0

223 3 Tota l

9288 7 2591 0 28868 5 2919 7 6381 6 19858 8 1112 7 5741 3 11849 5 6593 0 10703 9 3563 1 413 2 475 9 2309 3 3031 0 2788 4 2008 4 5704 8

126202 8 Ca r

pe r
(2 )

1. 6 1. 5 1. 9 2. 0 2. 4 1. 9 2. 2 2. 0 1. 7 2. 1 2. 1 1. 7 2. 7 3. 8 1. 8 1. 8 1. 8 1. 3 2. 5

1. 9 Fir e R a 100 0 T o
(3 )

1. 6 2. 4 1. 5 1. 3 1. 0 2. 0 2. 9 2. 0 1. 6 1. 2 1. 6 2. 3 4. 6 2, 3 0. 7 0. , 4 8. 8 0. , 6 1

. 6

1. 8 ite s ta l
(4 )

3. 3 4. 0 3. 4 3. 3 3. 4 4. 0 5. 1 4. 0 3. 2 3. 3 3. 7 4. 0 7. 3 6

. 1 2. 6 2. 3 1 0. 6 2. 0 4. 0

3. 7

( 1 ) N o Fire ; (2 ) Fir e Du e t o Crash ; (3 ) Othe r Fir e (Non-Cras h <^ ) = (2)+(3)

. o r Pre-Crash) ;Tabl e 42

.
Count s andPercen t Distribution s o f Al l Occupant s by Typ e o f Mos t Sever e Injur yan dInjur ySeverit yi nM V Accident s i nth e Stat e o f Pennsylvania , durin g 193 4

Typ e o f Mos t Sever e Injur y 1I1JU. I / Seve r i t y

N o I njur y

Fata l

M a jo r i

i >
i

•

*

i

i

*

i

i i •
i Burn s

0 0 • o o 0

. 0 0 0.0 0

34

- 0.0 1 2.3 5 1<*

. 1 1

2< * 0.0 1 0.<t 0 9.9 6 •

*

i i

• •
i •

i i

i i

i i • i Othe r

0 0.0 0 0.0 0 0.0 0

139 6 0.4 1 96.3 4 1

. 1 0

588 0 1 .7 4 98.9 2 4.6 4 i

i i

• i Unknow n

0 0.0 0 0.0 0 0.0 0

1 9 0.0 1 1 .3 1 0.8 0

4 0 0.0 1 0.6 7 1 .6 8 Non e

20773 0 61.6 2 100.0 0 100.0 0

0 0.0 0 0.0 0 0.0 0



### o 0.0 0 0.0 0 0

. OC ) 1 1

t 1

1 1 •

1 1

1

1 1

t 1

1 1 ,

1 1

1 t
1 Tota l

20773 0 6 1 .6 2

144 9 0.

. 4 3

594 4 1 .7 6

i l Moderate !

i i

i i
( Mir-o r !

I

I t

t Unknow n!

i

i i 5 8 ! 0.0 2 ! 0.1 8 : 24.0 7 :

11 5 : o . 0 3 : o .1 3 : 47.7 2 !
i o : 

### o . o o 

### : 0.4 5 : 4

. 1 5 ! 3286 0

9.7 5 99

. 1 8 25.9 2

3565 2 25.4 1 98.8 8 67.5 7

96 8 0.2 9 43.6 0 0.7 6 1

l
l 1

i 1

l l 21 4 : 0.0 6 : 0.6 5 : 9.0 1 {

85 9 ! 0.2 5 1 0 .9 9 : 36.1 8 :

124 2 1 0.3 7 ! 55.9 5 ! 52.3 2 ! 0

0.0 0 0.0 0 0.0 0



### o 0.0 0 0.0 0 0.0 0



### o 0.0 0 0.0 0 0.0 0 3313 2

9.8 3

8662 6 7 U 2 5

222 0 0 .6 6

Tota l 24 1

0.0 7 12675 6

37.6 0 237 4

0.7 0 20773 0

6 1 .6 2 33710 1

100.0 0Ta D 1 e 4 2 —a .
Court s <?n

dPercen t Distribution s o f Injure d'Occupant s b yTyp e o f Mos t Sever e Injur yan dInjur ySeverit yi nM V Acc:denr = i nth e Stat e o f Pennsylvania , durin g 193 4

T/p e o f Mos t Sever e Injur y

. f i jur y Seve r i t y Burn s Othe r Unknow n Tota l

Fata l

M a • o r '

. 3 4 :

; 0.0 3 : 2.3 5 : i4.i i :

2 4 :
: 0.0 2 : o .4 0 : 9.9 6 : 139 6 !

l

. 0 3 : 96.3 4 ! 

### I.I O 

## :
5S8 0 : 4.5 5 : 98.9 2 1 4 .6 4 : 1 9

0.0 1 1.3 1 0.8 0

4 0 0.0 3 0.6 7 1.6 3 144 9

1.1 2

594 4 4.5 9

Moderat e

Mino r

Unknow n

Tota l 1

1

1 1

1 5 8 ! c . 0 4 : o .i s ; 24.0 " :

11 5 : 0'

. 0 9 ! 0.1 3 ! -.1.IZ :
i o : o . o i : 0.4 5 : 4.1 5 :

24 1 0

. 1 9 3286 0

25.4 0 9 9

. 1 8 25.9 2

854>5 2 66.2 1 98.8 2 67.5 7

96 8 0.7 5 4 3 .6 0 0.7 6

12675 6 97.9 8 i

i t

i t

t
i

i 21 4 0

. 1 7 0.6 5

« . 0 1

25 9 0 .6 6 0 .9 9 36

. 1 8

124 2 0.9 6 55.9 5 52.3 2

237 4 1 .8 4 3313 2

2 5

. a 1

•3662 6 6<b

. 9 6

222 0 1.7 2

12937 1 100.0 0P.6 9

Tjhi e ~2-b

. Distribution s 'Ro wan dColum nPercentages ) o f Injure dCa r Gcrup a nt s • b•

/ Typ e o f Mos t Sever e Injury , an dInjur ySeverit y i-.

- Accicent s o f th e Stat e o f Pennsylvania , Durin g 1973-198 4

Typ e o f Mos t Sever e Injur y I - • jv.r v

__ _ — Severit y! Burn s Other

. Unknow n! Tota l

: , H '_

- + +
. yFata l 2.3 3 ! 95.0 8 ! 2.5 4 t 100.0 0

12.6 7 : • 1.2 5 ! 0.2 7 I 1.1 7 • Majo r : 0.3 3 \ 98.7 7 '

. 0.3 5 ! 100.0 0

7.7 1 ! 4.9 6 ! 0.3 4 ! 4.4 6 i 1 (

. + Moderate ! 0.1 9 ! 99.1 6 i 0.6 5 '

. 100.0 0

19.5 6 ! 25.6 6 ! 1.3 7 ! 22.9 3 1 \ 1 r Mino r ! 0.2 0 ! "^8.3 2 ! 0.9 8 ' • 100.0 0 54.9 6 I 67

. 2^

. ! 5.4 0 ! 60.4 2

- K
. + + + • Unknow n; 0.1 0 ! 7.2 2 1 9 2 .6 2 '

. 100.0 0

! 5.1 0 ! 0.8 9 I 92.6 2 '

. 10.9 7

: : i

- 1 yT c t a 1 0.2 2 38.3 0 10.9 8 100.0 0

100.0 0 100.0 0 100.0 0 100.0 0Tabl e 42-c

.

Prope r t : :na i "'ate s o f Fire s pe r 1,00 0 Acciden t Involve d Car s mth e Stat e o f Pennsylvania , Durin g 197 9 t o 1984

.

Ignorin g Unknown s vabou t 35V. )

1s t Even t 2n dEven t Eithe r

7 9 3'". ' 8 1 8 2 3 3 3 4

7C-3 ^ 93-3 4 £,

.

rs l- l v g v g O

. 7

0

. 9 0

. 9 1

. 0 1

. 3 1

. 7

1

. 1 1

. 5 0. 5

0. 5 0. 6 0. 7 0. 6 0. 7

0. 6 0. 7 1. 2

1. 3 1

. 5 1

. 7 1

. 9 2. 4

1

. 7 2. 2

Unifor mRedistributio no f Unknown s
1s t Even t 2n dEven t Eithe r

—• ? 3 0 3 1 8 2 8 3 8 4

79-3 ^ 33-8 4 A

v g Av g 1

. 1

1. 2 1. 3 1. 6 2. 0 2. 6

1

. 6 2. 3 0

0 0 1 0 1

1 1 . 3

. 8

. 9

. 1 0
•

. 1

. 0

. 0 1

. 9

2. 0 2. 2 2. 7 2. 9 3

. 7

2. 6 3. 3P.7 1

T-,!- ; = -r . Fir e Rate s fo r Cars * an dProjection s

U.S

. Annua l Incidenc e o f Ca r Fires , Accordin g t c Variou s Acciden t Record s O T

^czide.-. t Record s Fir e Rat e pe r Thousan dCar s P r o j e c t i o r o f U S Ca r Fire s pe r Y i

1

. Michiga n Fue l Leak.

. Al l Fire s N o c i " e 9. 2 2. 2 6 R , 00'. ) 16,50 0

Mar y1 an d Fir e FT i ncip a 1 Caus e Post-Cras hFir e Al l Fire s 1

. 3 0. 6 2. 4 13,50 0 4 ,50 0 18,00 0

3

. O hi < Pir e Du e t o Cras h Othe r Fir e Al l Fire s 1

. 9 1

. 8 1 ^ ,300 13,50 0 27,SO O

A

. P e nns y1 va n . i a

1 s t E'/ent

. Lo w Is

- Event

. Hig h

2n dEvent

. Lo w 2n dEvent

. Hig h

-1 1 Fires

. Lo w Al l c i res . Hig h 1

. 5 D 3
0. 7 1

. 0

2. 2 3. 3 1 1 , JOC 1 17.30 0

5 ,30 0 7,50 0

16.50 0 24,30 0

Washingto n Al l Fire s 2. 4 18,00 0

6

. MAS S Al l Fire s 2. 3 17,OO OP.7 2

Tabl e 44

. Pricipa l Source s o f M V i nth e NHTSA/OD I File , Owne r Complaint s a s o f En do f 198 7

Sourc e
HO T LIN E CONSUME RLETTE R NADE RAFFILIATE D EXECUTIV E CORRES P PART S RETUR NPRO G HEADQUARTER S STAT E ATTORNE YG COGRESSIONA L RE F EXECUTIV E SECRE T NHTS AREGIO NI X CONSUME RPRO D CO M FEDERA L TRAD E CO M NHTS AREGIONA L OF C NHTS AREGIO NV HOROWIT Z MANUFACTURE R NHTS AREGIO NIV GOVERNMEN T AGENCIE S NHTS AREGIO NI NTS B NHTS AREGIO NX NHTS AREGIO NV I OTHE R

TOTA L Coun t
9125 3 2514 8 1468 2 1267 9 705 5 442 8 281 1 828 6 165 7 91 7 66 9 63 6 60 6 52 3 46 7 46 3 38 8 36 4 32 3 21 5 20 2 1-72 234 3
168583 Percen t

54.1 2 14.9 1 3.7 0 7.5 2 4.1 8 2.6 2 1.6 6 1.3 5 0.9 8 0.5 4 0.3 9 0.3 7 0.3 5 0.3 1 0.2 7 0.2 7 0.2 3 0.2 1 0.1 9 0

. 1 2 0

. 1 2 0

. 1 0 1.3 9
100.0 0Tabl e 45

. Annua l Volum e o f M V Owne r Complaint * i n th e NHTSA/OD I Fil e

Ca l 1

. Yea r
Pre-7 6 7 6 7 7 7 8 7 9 8 0 8 1 3 2 8 3 8 4 8 5 8 6 8 7

Al l Coun t

405 9 688 0 1253 0 2007 0 1838 8 1618 2 1232 1 1142 5 1576 6 1453 8 1190 8 1229 2 1221 9

16858 3 Percen t

2.4 1 4.0 8 7.4 3 1 1 .9 0 10.9 0 9.5 9 7.3 0 6.7 7 9.3 5 8.6 2 7.0 6 7.2 9 7.2 4

100.0 0Tabl e 46

. Distributio no f Moto r Vehicl e Owne r Complaint s by State , i nth e NHTSA/OD I File,. ' a s o f Endo f 1987 ; ••Larger State s Onl yAr e Shown )

Stat e

N Y C A P A N J F L O H M I I L M D M A VA T X C T W I M O M N G A I N W A NC A Z C O L A T N K Y

Al l Coun t

1907 3 1876 8 1062 3 990 4 945 5 865 3 855 7 781 7 693 0 614 0
cnc c 538 7 428 4 406 0 310 0 273 6 246 2 241 2 239 1 207 5 198 7 183 2 163 8 157 0 142 7

16858 3 Percen t

1 1 .3 1 11.1 3 6.3 0 5.3 7 5.6 0 5

. 1 3 5.0 7 4.6 3 .4

. 1 1 3.6 4 3.4 1 3

. 1 9 2.5 4 2.4 0 1 .8 3 1.6 2 1 .4 6 1.4 3 1 .4 1 1.2 3 1

. 1 7 1 .0 8 1 .0 0 0.9 3 0.8 4

100.0 0abl e ^+7

. pricipa l Categorie s o f Moto r Vehicle s i nth e NHTSA/OD I Fil e o f M V Owne r Complaints , a s o f En do f 198 7

Vehicl e Categor yCoun t Percen t

Pe r = ona 1 Transp

. VehIc1e s ' Car s , LTVs ) Re c r e a 11 o na 1 Vehlc1e s Multipurpos e Vehlc1e s Commercia l Truck s Buse s 'I'City , Cros s Country , School ) Motorcycle s Al l Othe r
A1 1 Venic1e s 16858 3 100.0 0 16250 3 31 9 15 3 57 8 34 8 12S 7 341 0 96.

. 3 8

0

. . 1 3 0

. 0 Q 0 .3 4 0 .2 0 0. 7 6 

### 2

. o aP.7 6

Tabl e A3

. Pricipa l Componen t Categorie s Mentione d

;

- * V Owne r Complaint s o f th e NHTSA/OD I File , a s o f En do f 198 7

Principa l L o T i p o ne nt C a t e g o r y

FUE L SYSTEM S FCWE RTRAI N SUSPENSIO N SER'-'ICE BRAKE S ENGIN E S T EEFIN GASSEMBL Y ELECTRICA L SYSTEM S STRUCTUR E INTERIO RSYSTEM S VISUA L SYSTEM S LIGHTIN GAN D CO M HEATE RDEFROSTE R EQUIPMEN T PARKIN GBRAKE S

AL L CATEGORIE S Coun t Percen t

4565 8 3664 5 3097 9 2729 7 2334 9 1959 8 1322 5 1127 6 1024 3 648 8 5 0 1 8 354 4 342 5 1SH 8

24016 3 13.7 4

15.0 4 12.7 1 1 1 .2 0 9.'5 8 3

. '0 4 7.4 8 4.6 2 4 .2 0 2.6 6 2.0 6 1 .4 5 1

. <*0 0.7 5

100.0 0

=.!- • ' Mea n'.'aide s o f Calenda r Year , Mode l Year ,

an dVehicl e Ag e i nM V Owne r Complaint s o f th e NHTSA/OD I File , a s o f En do f 193 7

Componen t Ca l

. Yea r

Al l 31. 2 Fue l Syste m81. 3 Rue l Emissio nContro l SO. 5 Mode l Yea r

78. 8 7 9

. fc 73. 3 Vehi c l e

Age , Yr s
2.4 0 2.2 5 2.2 0"a

bl e Circumstance s an dOutcome s o f M V Componen t Failure s Associate dwit hFir e i nCompariso nwit hComponen t Failure s No t Associate dwit hFire ; Source : NHTS A.-'GD I Fil e o f M V

Owne r Complaints , 1R' 7 6-1°37

.

a . -ir e Occurrenc e a t th e Tim e o f Failur e

Coun t Percen t

5sS 7 2

. 3 3

-'e ni cl e Motio na t th e tim e o f Failur e

Fir e Occurrenc e VehI c l e M c t io n

N o Ye s Unkn

. N o

1 c r c I J

. J 60

. 3 24. 2 'e s

30. 9 pe r 10 0 Componen t 46. 3 Fa i lure s 22. 3

c . Hazar dAssociate dwit hComponen t Failur e
Fir e Occurrenc e
Ris k o f N o Ye s

Sudde nLos s o f Contro l Los s o f Contro l wWarnin g Contro l Deterioratio n N o Hazar d 7

. 1 5. 2 87. 2 0. 5 29. 6 pe r 10 0 Componen t

4

. -\ Fa i lure s 65. 9
'">

. 1

Actua l Los s o f Contro l a t Tim e o f Failur e
Fir e Occurrenc e Los s O T Contro l N o Ye s

Tota l Partia l N o n e Unknow n 4

. 6

17. 8 60. 7 16. 9 5. 8 pe r 10 0 Componen t

11. 5 Failure s 5 °

. 1 23. 6Tabl e 50

. ; Cont - d )

e . Acciden t Occurrenc e a s a Resul t o f Componen t Failur e
Fir e Occurrenc e

N o Ye s Ac e iden t Occurrenc e

N o Ve s ?3. 6 31. 7 pe r 10 0 Componen t

6. 4 13. 3 Failure s

Numce r o f Psocl e Injure da s a Resul t o f th e Acciden t

F i" r e 0c c u r r enc e Numbe r O T Injure dN o Ye s
On e 2.0 1 • 3.9 7 pe r 10 0 Componen t Tw o o r Mor e 0.7 1 1.1 3 Failure s

Memo : I njur yRat e 3.7 9 6.9 0

g . Numbe r o f Fatalitie s a s a F.'esul t o f th e Acciden t
Fir e Occurrenc e Numbe r o f Fatalitie s N o Ye s

On e (" I i o Tw o o r Mor e 0.0 4 0.4 7

Memo : Fatallt- ' Rat e 0.2 8 2.9 0 1.5 1 pe r 10 0 Componen t Failure s

h

. Propert yDamag e a s a Resul t o f th e Acciden t
Fir e Occurrenc e

N o Ye s

Heav yDamage , '. • $500 : 1.2 5 3.7 6 pe r 10 0 Componen t Fai l L. r es .Tabl e 51

. Count s o f M V Componen t Failure s an d Relate d M V Fir e Rate s pe r 10 0 Failures , as. a Functio n o f Calenda r Year ; '.Source : NHTSA/OD I Files )

Ca l

. Yea r

-7- 7 7 3 7 6 3 7 8 6 3 5 S 2 3 1 7 9 3 4 3 0 3 3 wit h

C o u nt

44 1 66 3 23 6 69 3 50 2 4^ 0 39 1 36 4 55 3 41 6 41 7 4 1 ° ~ir e

7. 3 1 1.. 7 5. 0 12. 2 8. 3 7. 7 6. 9 6. 4 9. 7 7. 3 7. 3

"

. 4 Tot a

Coun t

339 3 1432 7 669 7 17 0 1 1 175H 6 1753 0 1731 2 1672 7 2592 1 5 0 iUU 2118 2 2219 1 1

%

4

. 1 6. 9 3. 2 8. 2 8. 5 3. 5 S.< 4 3

. 1 12. 5 9. 3 10. 3 10

. " i-ir e

Rat e in

. Descen din g Percen t

5.2 5 4.6 3 4.2 7 4.0 7 2.8 6 2.5 1 2.2 6 2

. I S 2

. 1 3 2 .0 7 I .9 7 1 .8 ^

: 1 1 563 7 100. 0 20662 6 100. 0Tabl e 52

. Count s o f M V Componen t Failure s andRelate d M V Fir e Rate s pe r 10 0 Failures , a s a Functio n o f State ; (Source : NHTSA/OD I Files )

M V Componen t Failure s



### tat e OK D C K S TN A L NC , MA O R C A TX GA LA M D IA

—W A Z N J C T MN S C W V W A M O P A NY VA W I K Y I L M I F L O H I N w i t h

Coun t
5 1 5 1 4 0 7 1 4 5 8 8 22 7 4 9 69 1 19 5 9 1 6 4 25 3 3 9 6 6 6 7 35 9 15 1 8 5 3 1 3 6 7 0 9 9 34 0 63 2 17 2 12 8 4 4 23 1 26 1 26 6 24 4 5 8 Fir e

%
0. 9 0. 9 0. 7 1. 2 0. 8 1. 5 4. 0 0. 9 12. 2 3. 4 1. 6 1. 1 4. 4 0. 7 1. 2 1

. 2 6. 3 2. 7 1

. 5 0. 5 0. 6 1. 2 1. 7 6. 0 11. 1 3. 0

- 2. 3 0. 8 4. 1 4. 6 4. 7 4. 3 1

. 0 Tota l

Coun t
111 4 130 2 112 1 204 4 136 2 266 7 736 7 160 8 2277 4 652 0 307 4 216 2 855 3 1334 226 7 232 2 1263 8 536 0 309 2 115 3 134 0 263 4 375 9 1301 1 2426 2 679 4 511 6 178 6 972 2 1115 4 1172 0 1088 7 300 1 0. 5

0. 6 0. 5 1

. 0 0. 7 1. 3 3. 6 0. 8 11. 0 3. 2 1. 5 1. 0 4. 1 0. 6 1

. 1 1. 1 6

. 1 2. 6 1. 5 0. 6 0. 6 1. 3 1. 3 6. 3 11. 7 3. 3 2. 5 0. 9 4. 7 5. 4 5. 7 5. 3 1. 5 

### Fir e

Rat e i n Descendin g Percen t
4.5 8 3.9 2 3.5 7 3.4 7 3.3 0 3.3 0 3.0 8 3.0 5 3.0 3 2.9 9 2.9 6 2.9 6 2.9 6 2.9 2 2.9 1 2.8 9 2.84 2.3 2 2.7 5 2.6 9 2.6 9 2.6 6 2.6 3 2.6 1 2.6 0 2.5 3 2.5 0 2.4 6 2.3 8 2.3 4 2.2 7 2.2 4 1.9 3
Al l 568 7 100. 0 20662 6 100. 0 2.7 !ibl e 53

. Count s o f M V Componen t Failure s andRelate d M V Fir e Rate s pe r 10 0 Failures , a s a Functio n •-.if Month ; (Source : NHTSA/OD I Files )

M V Componen t Failure s

Mont h

6 7 1 2 8 1 1 1

w l 3 9 4 2 1 0

A l 1 w i t h

Coun t

5 H 6 57 0 39 1 55 1 40 2 49 3 <+4 5 52 1 47 5 45 3 41 9 41 6

568 7 Fir e

• • 9. 6 10. 0 6. 9 9. 7 7

. 1 8. 8 7. 8 9. 2 3. 4 3. 0 7. 4 7. 3

100. 0 Tot a

Coun t

1719 8 1798 5 1316 2 1974 7 1462 7 1816 4 1648 3 1951 9 1830 5 1770 9 1680 3 1689 5

20662 6 1 1

y .

3. 3 8. 7 6. 4 9. 6 7. 1 8. 8 8. 0 9. 4 8. 9 8. 6 8

. 1 8. 2

00. 0 Fir e

Rat e i n Descen din g Percen t

3.1 7 3.1 7 2.9 7 2.7 9 2.7 5 2.7 4 2.7 0 2.6 7 2.5 9 2.5 6 2.4 9 2.4 6Tabl e 54

. Count s o f M V Componen t Failure s an dRelate d M V Fir e Rate s pe r 10 0 Failures , a s a Functio n o f Componen t Category ; (Source : NHTSA/QD I Files )

Componen t Categor y M V Componen t Failure s
wit hFir e Tota l

Coun t */

• Coun t *

>

ELECTRICA L SYSTE M134 9 FUE L SYSTEM S 285 0 HEATE RDEFROSTE RDEFOGGE R18 8 ENGIN E AN D ENGIN E COOLIN G571 ' EQUIPMEN T 4 8 LIGHTIN GAN D COMMUNICATIO N5 8 INTERIO RSYSTEM S 8= ? POWE RTRAI N22 3 STRUCTUR E 6 6 VISUA L SYSTEM S 2 3 STEERIN GASSEMBL Y8 1 SERVIC E BRAKE S 8 4 PARKIN GEMERGENC YBRAK E 6 SUSPENSIO N4 6 23. 7 5 0

. 1 3. 3 10. 0 0. 8 1

. 0 1. 6 3. 9 1. 2 0

. ~ 1

. 1

. 0

. 0

.. 4

c

. 1

, 3 1588 2 4006 3 268 4 1777 7 311 2 402 5 887 8 3229 5 952 1 554 0 1708 8 2276 4 167 7 2532 0 7. 7

19. 4 1. 3 8. 6 1. 5 1. 9 4. 3 15. 6 4. 6 2. 7 8. 3 11. 0 0. 8 12. 3 Fir e

Rat e i n Descendin g Percen t

3.4 9 7.1 1 7.0 0 3.2 1 1.5 4 1 .4 4 X

. 0 0 0

. 6 9 0.6 9 0. 5 1 0 .4 7 0

. 3 7 •0.3 6 0

. 1 3

AL L CATEGORIE S 568 7 100. 0 20662 6 100. 0 il.l

.Tabl e Count s o f M V Componen t Failure s M V Fir e Rate s pe r 10 0 Failures , o f Specifi c Component ; (Source : an dRelate d
a s a Functio n NHTSA/OD I Files )

Specifi c Componen t

FUE L SYSTEM S ELECTRICA L SYSTE M ENGIN E FUE L TAN KASSEMBL YTAN K FUE L CARBURETIO N EXHAUS T SYSTE M CARBURETO RUNKNOW NTYP E FUE L CRBRATN,INJ,THRT L ENGIN E OTHE RPART S FUE L PUM P ELECTRICA L SYSTE MBATTER Y ELECTRICA L SYSTE MSTARTE R ALTERNATOR , GENERATO R POWE RTRAI NAXL E ASSEMBL Y ELE C SY S IGNITIO NCONTRO L TRANSMISSIO N THROTTL E LINKAGE S BRK S HYDRAULI C MST RCY L PW RTR NTRN S UN KTY P CHAI NPROPEL RDR I DIFFENTIA L UNI T EQUIPMEN T SPEE D CONTRO L SERVIC E BRAKE S SHO E AN D DRU MSYSTE M POWE RTRAI NCLUTC H ASSEMBL Y SHO E DIS C BRAK E SYSTE M STRUCTUR E FRAM E MEMBER S BRAKE S HYDRAULI C SYSTE M STEERIN GPOWE RASSIS T PW RTR NTRANS M4 SP D STEERIN GASSEMBL Y BRK S HYDRAULI C DIS C CALIPE R SUSPENSIO N TIRE S BRAKE S HYDRAULI C POWE RASSIS T STEERIN GGEA RRAC KAN D PINIO N POWE RSTEERIN GGEA RBO X SUSP NIND P F T BEARIN GWHEE L DIS C ROTO RDIS C HU B ENGIN E PULLE YCRANKSHAF T TIRE S TREA D M V Componen t Failure s F i r e wit hFir e Tota l Rat e i n Descendin g Coun t 7. Coun t */

. Percen t
40 7 31 3 40 5 10 7 41 3 6 9 24 6 10 4 3 8 3 2 3 2 1 6 1 5 1 9 2 2 8 7 2 6 8 1 4 6 1 0 8 9 7 7 1 0 5 1 8 9 4 5 3 3 1 7 3 4 1 1 1 1 1 7. 2 0

. 5 7. 1 1. 9 7. 3 1. 2 4. 3 1. 8 0. 7 0. 6 0. 6 0. 3 0. 3 0. 3 0. 4 1

. 5 0. 5 0. 1 0. 2 0. 1 0. 2 0. 1 0. 2 0. 1 0. 1 0. 2 0. 1 0. 3 0. 2 0. 1 0. 1 0. 1 0. 1 0. 3 0

. 1 0. 1 0. 0 0. 0 0. 0 0. 0 0. 0 195 4

220 6 557 5 162 6 651 4 122 8 590 7 257 5 161 3 136 3 140 1 105 4 111 3 152 0 206 1 1156 6 443 2 148 1 277 9 120 2 215 0 179 8 215 7 166 1 195 2 282 2 147 2 548 3 332 6 147 4 198 7 119 8 132 8 811 0 195 6 379 3 115 1 110 4 120 0 120 0 164 4 0. 9

1. 1 2. 7 0. 8 3. 2 0. 6 2. 9 1. 2 0. 8 0. 7 0. 7 0. 5 0. 5 0. 7 1. 0 5. 6 2. 1 0. 7 1. 3 0. 6 1. 0 0. 9 1. 0 0. 8 0. 9 1. 4 0. 7 2. 7 1. 6 0. 7 1. 0 0. 6 0. 6 3. 9 0. 9 1. 8 0. 6 0. 5 0. 6 0. 6 0. 8 20.3 3

14.1 9 7.2 6 6.5 8 6.3 4 5.6 2 4.1 6 4.0 4

2.2 8 1.5 2 1.3 5 1.2 5 1 .0 7 0.7 5 0.5 9 0.5 4 0.5 0 0.5 0 0.4 7 0.4 4 0.4 2 0.4 2 0.3 6 0.3 5 0.3 4 0.3 3 0.2 7 0.2 7 0.2 5 0.2 5 0.2 3 0.2 1 0.1 5 0.1 1 0.0 9 0.0 9 0.0 8 0.0 8 0.0 6

AL L COMPONENT S 568 7 100. 0 20662 6 100. 0 .7 5Tabl e 56

. Count s o f M V Componen t Failure s andRelate d MV Fir e Rate s pe r 10 0 Failures , a s a Functio n o f Mode l Year ; (Source : NHTSA/OD I Files )

MV Componen t Failure s

Mode l Yea r

7 1 7 2 7 5 8 7 8 6 7 4 8 5 7 3 7 6 6 0 7 7 8 4 8 1 8 2 8 3 7 9 7 8 8 0 wit hF

Coun t

6 8 10 3 39 2 7 0 25 5 22 5 33 5 U l 47 1 16 1 49 6 42 8 41 9 33 9 28 6 43 9 50 2 38 3 ir e

•/

. 1. 2 1. 8 6. 9 1. 2 4. 5 4. 0 5. 9 2. 0 8. 3 2. 8 8. 7 7. 5 7. 4 6. 0 5. 0 7. 7 8. 8 6. 7 Tota l

Coun t

126 0 212 4 939 8 172 2 630 0 575 0 922 5 332 5 1435 6 547 3 1745 9 1524 7 1723 9 1396 5 1227 5 2037 6 2457 4 2418 1 7.

0. 6 1. 0 4. 5 0. 8 3. 0 2. 8 4. 5 1. 6 6. 9 2. 6 8. 4 7. 4 8. 3 6. 8 5. 9 9. 9 11. 9 11. 7 Fir e

Rat e i n Descendin g Percen t

5.4 0 4.8 5 4.1 7 4.0 7 4.0 5 3.9 1 3.6 3 3.3 4 3.2 8 2.9 4 2.8 4 2.8 1 2.4 3 2.4 3 2.3 3 2.1 5 2.0 4 1.5 8
Al l 568 7 100. 0 20662 6 100. 0 2.7 !Tabl e 57

. Count s o f MV Componen t Failure s and Relate d M V Fir e Rate s pe r 10 0 Failures , a s a Functio n o f Vehicl e Make ; (Source : NHTSA/OD I Files )

MV Componen t Failure s

Vehicl e Mak e

RENAUL T FOR DTRUC K LINCOL N FOR D JEE P VOLKSWAGE N CADILLA C AUD I MERCUR Y DODG E TRUC K AMERICA N

MOTOR S FIA T TOYOT A GM C MAZD A PONTIA C DODG E PLYMOUT H CHRYSLE R VOLV O CHEVROLE T TRUC K CHEVROLE T HOND A BUIC K OLDSMOBIL E SUBAR U DATSU N

AL L VEHICL E MAKE S wit h

Coun t

4 9 38 5 7 3 95 8 8 0 36 8 18 8 8 6 29 0 11 3 15 4 6 9 9 9 4 2 2 8 29 5 30 8 30 4 13 7 4 8 11 7 56 3 5 9 20 9 20 3 2 4 3 0

568 7 Fir e

y .
0. 9 6. 8 1 . 3 16. 8 1. 4 6. 5 3. 3 1. 5 5 . 1 2. 0 2. 7 1. 2 1. 7 0. 7 0. 5 5. 2 5. 4 5. 3 2. 4 0. 8 2. 1 9. 9 1. 0 3. 7 3. 6 0. 4 0. 5

100. 0 To t

Coun t

107 5 856 3 169 5 2243 9 196 7 919 7 487 6 231 5 866 9 357 2 509 7 231 4 344 3 152 9 109 8 1182 7 1270 2 1284 4 601 0 213 6 537 4 2894 9 381 6 1398 8 1517 4 183 1 271 1

20662 6 a l

y

.
0. 5 4. 1 0. 8 10. 9 1. 0 4. 5 2. 4 1. 1 4. 2 1. 7 . 2. 5 1. 1 1. 7 0. 7 0. 5 5. 7 6. 1 6. 2 2. 9 1. 0 2. 6 14. 0 1. 8 6. 8 7. 3 0. 9 1. 3

100. 0 Fir e

Rat e i n Descendin g Percen t

4.5 6 4.5 0 4.3 1 4.2 7 4.0 7 4.0 0 3.8 6 3.7 1 3.3 5 3.1 6 3.0 2 2.9 8 2.8 8 2.7 5 2.5 5 2.4 9 2.4 2 2.3 7 2.2 8 2.2 5 2.1 8 1.9 4 1.5 5 1.4 9 1.3 4 1.3 1 1.1 1

2.7 5Tabl e 57

. Count s o f MV Componen t Failure s an dRelate d M V Fir e Rate s pe r 10 0 Failures , a s a Functio n o f Vehicl e Make ; (Source : NHTSA/OD I Files )

M V Componen t Failure s

'
Vehicl e Mak e
RENAUL T FOR D TRUC K LINCOL N FOR D JEE P VOLKSWAGE N CADILLA C AUD I MERCUR Y DODG E TRUC K AMERICANMOTOR S FIA T TOYOT A GM C MAZD A PONTIA C DODG E PLYMOUT H CHRYSLE R VOLV O CHEVROLE T TRUC K CHEVROLE T HOND A BUIC K OLDSMOBIL E SUBAR U DATSUN

AL L VEHICL E MAKE S wit h

Coun t
4 9 38 5 7 3 95 8 8 0 36 8 18 8 8 6 29 0 11 3 15 4 6 9 9 9 4 2 2 8 29 5 30 8 30 4 13 7 4 8 11 7 56 3 5 9 20 9 20 3 2 4 3 0
568 7 Fir e

%
0. 9 6. 8 1. 3 16. 8 1. 4 6. 5 3. 3 1. 5 5. 1 2. 0 2. 7 1. 2 1. 7 0. 7 0. 5 5. 2 5. 4 5. 3 2. 4 0. 8 2. 1 9. 9 1. 0 3. 7 3. 6 0. 4 0. 5
100. 0 To t

Coun t
107 5 856 3 169 5 2243 9 196 7 919 7 487 6 231 5 866 9 357 2 509 7 231 4 344 3 152 9 109 8 1182 7 1270 2 12844 601 0 213 6 537 4

• 2894 9 381 6 1398 8 1517 4 183 1 271 1
20662 6 a l
7.

0. 5 4. 1 0. 8 10. 9 1. 0 4. 5 2. 4 1. 1 4. 2 1. 7

. 2. 5 1. 1 1. 7 0. 7 0. 5 5. 7 6. 1 6. 2 2. 9 1. 0 2. 6 14. 0 1. 8 6. 8 7. 3 0. 9 1. 3
100. 0 Fir e

Rat e i n Descendin g .Percen t
4.5 6 4.5 0 4.3 1 4.2 7 4.0 7 4.0 0 3.8 6 3.7 1 3.3 5 3.1 6 3.0 2 2.9 8 2.8 8 2.7 5 2.5 5 2.4 9 2.4 2 2.3 7 2.2 8 2.2 5 2.1 8 1.9 4 1.5 5 1.4 9 1.3 4 1.3 1 1.1 1
2.7 5Tabl e

1

. 2

. 3

. 4

. 5

. 6

. 7

. 8

. 9

. 10

. 11

. 12

. 13

. 14

. 15

. 16

. 17

. 18

. 19

. 20

. 21

. 22

. 23

. 24

. 25

. 26

. 27

. 28

. 29

. 30

. 31

. 32

. 5 8

. Share s

o nU.S

.

Alphabe t

Mak e

A mMotor s Aud i Buic k BM W Cadilla c Capr i Chevrole t Chrysle r Dodg e Fia t Fiest a For d Hond a Lincol n Mazd a Mercede s Mercur y M G Nissa n Old s Ope l Plymout h Pontia c Porsch e Renaul t Saa b Subar u Toyot a Triump h V o 1 v o VW Othe r
Al l o f Princi p

Road s i n

icall y

Percen t

2.3 7 0.3 3 7.0 9 0.2 8 2.8 8 0.2 6 20.6 9 2.2 2 4.3 8 0.3 9 0.1 8 16.65 1.7 1 1.1 0 0.7 2 0.5 7 4.0 9 0.2 4 2.9 2 8.2 1 0.3 0 5.0 4 6.9 1 0.1 8 0.1 2 0.1 4 0.5 8 3.5 2 0.1 7 0.6 3 3.6 0 1.3 7

100.0 0 a l Ma k

197 7 t e s o f Car s i n o 1986

.

I n Descend i

Mak e
Chevrole t For d Old s Buic k Pontia c Plymout h Dodg e Mercur y VW Toyot a Nissa n Cadilla c A mMotor s Chrysle r Hond a Lincol n Mazd a V o 1 v o Subar u Mercede s Fia t Aud i Ope l BM W Capr i M G Porsch e Fiest a Triump h Saa b Renaul t Othe r
Al l Operatio n

n g Orde r

Percen t

20.6 9 16.6 5 8.2 1 7.0 9 6.9 1 5.0 4 4.3 8 4.0 9 3.6 0 3.5 2 2.9 2 2.8 8 2.3 7 2.2 2 1.7 1 1.1 0 0.7 2 0.6 3 0.5 8 0.5 7 0.3 9 0.3 3 0.3 0 0.2 8 0.2 6 0.2 4 0.1 8 0.1 8 0.1 7 0.1 4 0.1 2 1.3 7

100.0 0 • ^ r*

1



# i i| t
1

jP.8 8

Tabl e 59

. Count s

M V Fir e o f M V Rate s Componen t Failure s an dRelate d pe r 10 0 Failures , a s a Functi o o f Vehicl e Model ; (Source :

Vehicl e Mode l

ESCOR T PINT O ECONOLIN E F SERIE S LIGH T TR K CADILLA C MUSTAN G LT D COUGA R 500 0 ARIE S FAIRMON T COROLL A OMN I RELIAN T GRANAD A ELECTR A THUNDERBIR D B SERIE S VA N SKYHAW K HORIZO N TEMP O CORDOB A G MPUCN KSERIE S TYP E II I MERCUR Y CAPRIC E RABBI T MONT E CARL O CAVALIE R CHEVETT E GRAN D PRI X CIVI C FIREBIR D CAPR I CAMAR O BONNEVILL E ALLIANC E CHEVELL E LESABR E M V Componen t


### wit h

Coun t

20 2 9 5 11 3 18 0 7 2 8 9 11 4 4 8 4 0 5 5 8 7 3 8 12 1 5 9 6 6 3 4 5 5 5 1 3 1 11 9 3 4 3 9 3 3 3 0 4 9 10 2 14 2 4 7 4 0 9 3 3 5 3 2 3 0 3 9 3 8 2 3 2 0 5 3 2 5 

### Fir e

%

. 3. 6 1. 7 2. 0 3. 2 1. 3 1. 6 2. 0 0. 8 0. 7 1. 0 1. 5 0. 7 2. 1 1. 0 1. 2 0. 6 1. 0 0. 9 0. 5 2. 1 0. 6 0. 7 0. 6 0. 5 0. 9 1. 8 2. 5 0. 8 0. 7 1. 6 0. 6 0. 6 0. 5 0. 7 0. 7 0. 4 0. 4 0. 9 0. 4 NHTSA/OD I Files )

Failure s

Tota l

Coun t

281 9 157 8 224 8 437 7 184 0 228 9 301 7 127 2 111 6 154 1 247 0 112 4 361 1 183 3 205 7 106 0 187 4 175 9 109 6 426 0 122 9 141 2 121 3 112 0 183 7 398 2 560 9 188 0 174 1 423 4 160 4 153 7 144 7 193 0 194 0 120 2 107 1 293 1 142 8 %

1. 4 0. 8 1. 1 2. 1 0. 9 1. 1 1. 5 0. 6 0. 5 0. 7 1. 2 0. 5 1. 7 0. 9 1. 0 0. 5 0. 9 0. 9 0. 5 2. 1 0. 6 0. 7 0. 6 0. 5 0. 9 1. 9 2. 7 0. 9 0. 8 2. 0 0. 8 0. 7 0. 7 0. 9 0. 9 0. 6 0. 5 1. 4 0. 7 Fir e

Rat e i n Descendin g Percen t

7.1 7 6.0 2 5.0 3 4.1 1 3.9 1 3.8 9 3.7 8 3.7 7 3.5 8 3.5 7 3.5 2 3.3 8 3.3 5 3.2 2 3.2 1 3.2 1 2.9 3 2.9 0 2.8 3 2.7 9 2.7 7 2.7 6 2.7 2 2.6 8 2.6 7 2.5 6 2.5 3 2.5 0 2.3 0 2.2 0 2.1 8 2.0 8 2.0 7 2.0 2 1.9 6 1.9 1 1.8 7 1.8 1 1.7 5> ir*

< w X H o
s o D w f c n o

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to

u i UHUtJHMCniOUUMlOMMOM O H^OOMVOUltOOOVOO^OOtOVOUlt O

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t > P O ) M H tO U l tOtOtOHOlMMW H OUINMIOUIANIOHOIW^HM M vjUNjtoui^uiooHUivoiouapo ] >JOlH>JlflUfl\JiHP 1 |kOHIMOO \

WOWMOMtOH'HHOUOOH O O«JOHWM()\H^O(DH>J0l0lf t

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o o COcn^wro^o«otDvjr>cn-frujroH.o>ooDvji>tn-fruruH-o^cD>Njo~cn- ^

mmmmooooonnnnnnnnnnnonnnnnnnnnnnnnnno D xifl»-'niMnjoitu(uC"i"ioooooooMH'^-3'3 , iororotuBioiaiBioi!i<B»oi 3 T)nniouH«<iiii(toiiiccni33<<tiiiiii3HH<ii-oTi33Haj : onHM < t < t7(tHjinioio<ooniiiH(iii^< ( tHK!DHii)iiiii)(i)H '

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- i a i 0 ) D ) oo^oo^ooH'tooooooot-oooooru^oooooocnoo^oro o WWW2>I>I>I>3 > oorocinmi n 3 crro CLrt-x

j «- n 3nrtM-1ioiD Q ro o i *— ro 3 i n - i < rt ro a

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•"'O'-'OOOO O oUHOM^o^ooooorouULMucoo > ronjn)Ha)rouoON)*ouo(Dnj V Hrucobo>"Nii ' cni>o^cnwrucncn(Dcnoo(D^uj-fr.frroocn^roro<iNi-^idruro~^~o*ruro m i cn^otnoouji-»-^>o^^j^^romo^*^4>cDUj^uj^^cD^^oor>oocn-^^o^<)ro^uJcnroc> i

0J2><n3>n3<n3Jo"nn"n<zru3orm3Hrcjcj<trincnnnr"ti3DiD23nn3nrn i ClHOH'nO(iOOIHIJi J -H-llillH'h4(li||)H'H|li3HllBilII3X||jO||M'CHOOoJ||i|licH|| i 1 lTT3Hrtn3N*- l Ctri-1<HiQ3oi'i3i|<c3|ii||iHUi||'<3iu)3|j|H3<3iaHrtD' D 1 DiHI<liOnailiiDtTH'IIlHl||il|l\J]rtnnil3!li33H-<t<H(i)0||,rtrtit3lli(t<H'H' H - 1 | T3o*t-ioni"io»* - no'n 3 <trjj cOrt"ia.3a.aiai»- , ioo»-ii- , crouioir o ID i n • - cra » M- I cH-Q. 1 u Tf tp H

- o • < ru "-• •*--!'- •njcn a.3fl)rt--io»-' n 3 < H H : m n i o a

. •" i 3 •- * i n 3 pi n i Tjoir t<+ ir oir o i n to •*

•nroo i i n roi 3 act-m o J Tcr - n ro o o • - a > i n N

. i M
-M
-»- •T J •_ > - | t- l | i o - i : < in ro >- 3 1 3 " a rtQ J3

\ rtn i c n m

cno K o*o K Nivixjrjororjoajco(DrjocD^^oo^^^^^mrumrumuJcflcncn>J^'0> o CD^w-^^r\jmOH.m^cncno3^cnr>o*cDOoujuj034>-vjxjaj>ocoru-t'-cjcD»-cou ) «0cncn0Dr>-^cn4>mru4>O4>mouJuj^viooujcD^ujc>NjmcjuJo^ajt>(>ui( >

i o r u ru c o o o o o N J I Nioruaj^-cDUJv j i <iooo-.*-ru4>ru o i iModelPercentModelPercentjAlphabeticallyInDescendingOrder1Table60.SharesofPrincipalModelsofCarsinOperationonU.S.RoadsintheTenYearPeriod1977to1986Tabl e 60

. (Cont'd ) P.9 1

Alphabeticall y I nDescendin g Orde r

46

. 

### 47

. 48

. 49

. 50

. 51

. 52

. 53

. 54

. 55

. 56

. 57

. 58

. 59

. 60

. 

### 6 1



### . 62

. 63

. 64

. 6o

. 66

. 67

. 68

. 69

. 70

. 71

. 72

. 73

. 74

. 75

. 76

. 77

. 78

. 79

. 80

. 81

. 82

. 83

. 84

. 8 5 • 86

. 87

. 88

. 89

. 90

. 91

. Mode l

F 1 0 Fairmon t Fia t Fier o Firebir d Firenz a Gol f Granad a Gran dA

m Gran dMarqui s Gran dPri x Hond a 60 0 Horizo n Isuz u J 200 0 Jagua r Jett a Lance r LeMan s LeSabr e Lincol n Lyn x LN 7 LT D LT D I I Malib u Marqui s Maveric k Mazd a Mercede s Mitsubish i Monarc h Mont e Carl o Monz a Mustan g M G Ninet yEigh t Nov a Omeg a Omn i Pace r Peugeo t Phoeni x Pint o Porsch e Prelud e Percen t

0.06 2 0.88 2 0.39 4 0.04 2 0.85 0 0.04 7 0.01 4 1.27 6 0.02 8 0.05 0 1.24 3 0.01 4 0.43 6 0.02 7 0.10 2 0.08 0 0.05 8 0.00 9 1.18 4 1.59 8 1

. 10 0 0.14 7 0.01 5 4.03 2 0.30 0 3.01 2 1.06 7 1.13 3 0.72 5 0.57 6 0.02 7 0

. 38 2 2.20 8 0.50 1 1.91 6 0.24 8 0.95 3 2.07 9 0.41 7 0.37 2 0.18 8 0.09 0 0.22 9 1.78 6 0.18 9 0.13 1 Mode l

Mercede s Escor t Coron a Monz a 300/28 0 Spiri t Horizo n Omeg a Capr i Fia t Monarc h Omn i Aud i Corvett e Cavalie r Sunbir d 51 0 Rivier a Ventur a Come t LT D I I Supe r Beetl e Toronad o BM W Terce l Reiian t Zephy r M G Rega l Celebrit y Renaul t Phoeni x Cier a Arie s 20 0 S X Sentr a Porsch e Pace r Skyhaw k Pr e 8 2 Centur y Triump h 31 0 Diploma t Dashe r Bobca t Lyn x Percen t

0.57 6 0.56 1 0.54 0 0.50 1 0.49 9 0.46 8 0.43 6 0.41 7 0.41 6 0.39 4 0.38 2 0.37 2 0.33 9 0.33 2 0.32 4 0.32 2 0.32 2 0.31 5 0.31 0 0.30 1 0.30 0 0.29 6 0.28 5 0.28 1 0.27 0 0.26 7 0

. £6 7 0.24 8 0.24 1 0.23 8 0.23 4 0.22 9 0.22 3 0.21 2 0.21 1 0.19 9 0.18 9 0

. 18 8 0.18 2 0.17 9 0.17 1 0.16 0 0.15 8 0.15 4 0.14 9 0.14 7Tabl e 60

. (Concluded ) Alphabeticall y I nDescendin g 0rde? r

92

. 93

. 94

. 95

. 96

. 97

. 98

. 99

. 100

. 101

. 102

. 103

. 104

. 105

. 106

. 107

. 108

. 109

. 110

. 111

. 112

. 113

. 114

. 115

. 116

. 117

. 118

. 119

. 120

. 121

. 122

. 123

. 124

. 125

. 126

. 127

. 128

. 129

. 130

. 131

. 132

. 133

. 134

. 135

. 136

. 137

. Mode l

Pulsa r Quantu m Rabbi t Rega l Reiian t Renaul t Rivier a Scirocc o Sentr a Skyhaw k Pr e 8 2 Skylar k Ps t 7 5 Somerse t Spiri t Stanz a Starfir e Starle t Subar u Sunbir d Supe r Beetl e Supr a Saa b Temp o Terce l Thunderbir d Topa z Toronad o Triump h TIOO O Valian t Veg a Ventur a Volar e Volv o Zephy r 20 0 S X 210/B21 0 300/28 0 31 0 40 0 51 0 60 0 600 0 61 0 71 0 810/Maxim a Othe r Percen t

0.04 0 0.01 5 0.82 2 0.24 1 0.26 7 0.23 4 0.31 5 0.11 4 0.19 9 0.18 2 1.38 3 0.02 1 0.46 8 0.06 7 0.08 8 0.02 9 0.58 9 0.32 2 0.29 6 0.06 7 0.14 2 0.14 5 0.27 0 1.13 8 0.04 1 0.28 5 0.17 1 0.06 7 1.27 7 0.89 0 0.31 0 0.80 4 0.63 5 0.26 7 0.21 1 0.96 3 0.49 9 0.16 0 0.02 1 0.32 2 0.03 8 0

. 11 0 0.10 2 0.11 2 0.14 5 16.21 4 Mode l

Temp o 810/Maxim a Saa b Prelud e Scirocc o 71 0 600 0 J 200 0 61 0 Astr e Peugeo t Starfir e Couga r XR 7 Cressid a Jagua r Eagl e Stanz a Supr a TIOO O F 1 0 Camr y Crow nVictori a Jett a EX P Gran dMarqui s Firenz a Fier o Topa z Pulsa r 60 0 Starle t Gran dA

m Isuz u Mitsubish i Calai s Carin a Dayton a Somerse t 40 0 LN 7 Quantu m Gol f Hond a 60 0 Caravell e Lance r Othe r Percen t

0.14 5 0.14 5 0.14 2 0.13 1 0.11 4 0

. I L 1 2 0.11 0 0.10 2 0.10 2 0.09 3 0.09 0 0.08 8 0.08 4 0.08 1 0.08 0 0.07 8 0.06 7 0.06 7 0.06 7 0.06 2 0.06 0 0.05 9 0.05 8 0.05 5 0.05 0 0.04 7 0.04 2 0.04 1 0.04 0 0.03 8 0.02 9 0.02 8 0.02 7 0.02 7 0.02 5 0.02 4 0.02 1 0.02 1 0.02 1 0.01 5 0.01 5 0.01 4 0.01 4 0.01 0 0.00 9 16.21 4P.9 3

Tabl e 61

. Count s o f M V Fue l Syste mFailure s i n Compariso n wit hAl l Failures ; Fue l Syste mFailur e Rate s pe r 10 0 Total , a s a Functio n o f Mode l Year ; \ so u

Mode l Yea r
8 7 8 6 8 5 8 4 8 3 7 5 8 1 8 2 7 9 7 6 7 4 6 0 7 7 7 3 8 0 7 8 7 2 7 1 7 0 6 9 rce s rs

ni SH/UU X

M V Compone n
Fue l

Coun t

71 2 212 0 275 0 370 5 267 8 306 0 352 0 285 4 364 8 378 4 150 5 125 3 398 3 82 0 373 8 414 1 49 6 31 3 18 0 14 1 Syste m

%

1. 6 4. 6 6. 0 8. 1 5. 9 6. 7 7. 7 6. 3 8. 0 8. 3 3. 3 2. 7 8. 7 1. 8 8. 2 9. 1 1. 1 0. 7 0. 4 0. 3 t Failure s

Tota l

Coun t

172 2 630 2 923 3 1525 4 1228 1 1443 4 1724 7 1397 7 2094 2 2211 3 883 7 742 5 2458 2 524 3 2441 6 2805 3 362 3 234 0 153 3 153 5 %

0. 7 2. 6 3. 8 6. 3 5. 0 5. 9 7. 1 5. 7 8. 6 9. 1 3. 6 3. 0 10. 1 2. 2 10. 0 11. 5 1. 5 1. 0 0. 6 0. 6 Fue l Syste m

Failur e Rat e i n Descendin g Percen t

41. 3 33. 6 29. 8 24. 3 21. 8 21. 2 20. 4 20. 4 17. 4 17. 1 17. 0 16. 9 16. 2 15. 6 15. 3 14. 8 13. 7 13. 4 11. 7 9. 2

Al l 4440 8 100. 0 23623 3 100. 0 18. 8P.9 4

Tabl e 62 . Count s o f M V Fue l Syste

m Failure s i

nCompariso

n withAl l Failures ; Fue l Syste m Failur e Rate s per 10 0 Total , a s a Functiono f Vehicl e Make ; \aource :

Vehicl e Mak e
AUD I VOLV O VOLKSWAGE N HOND A DATSU N DODG E CHRYSLE R PLYMOUT H TOYOT A MAZD A LINCOL N FOR D TRUC K FOR D JEE P CADILLA C DODG E TRUC K MERCUR Y OLDSMOBIL E FIA T AMERICANMOTOR S SUBAR U BUIC K PONTIA C CHEVROLE T GM C CHEVROLE T TRUC K

AL L MAKE S MV Componen t Failure s

• Fue l

Coun t
79 7 83 3 304 9 94 5 71 3 357 8 163 7 368 9
24 4 37 1 183 8 513 1 42 1 105 3 81 2 182 8 283 7 51 4 97 9 31 5 241 5 204 3 471 8 23 6 81 8
4440 8 Syste m

•/

. 1. 7 1. 8 6. 7 2. 1 1. 6 7. 8 3. 6 8. 1 1. 7 0. 5 0. 8 4. 0 11. 2 0. 9 2. 3 1. 8 4. 0 6. 2 1. 1 2. 1 0. 7 5. 3 4. 5 10. 3 0. 5 1. 8
100. 0 To t

Coun t
262 3 275 3 1080 2 403 9 307 3 1605 1 738 1 1671 3 380 5 123 7 199 1 992 7 2793 5 232 0 580 3 450 8 1057 7 1654 3 314 0 613 4 198 7 15345 13115 3272 2 180 8 625 7
23623 3 a l

7.

1. 1 1. 1 4. 4 1. 7 1. 3 6. 6 3. 0 6. 9 1. 6 0. 5 0. 8 4. 1 11. 5 1. 0 2. 4 1. 9 4. 3 6. 8 1. 3 2. 5 0. 8 6. 3 5. 4 13. 4 0. 7 2. 6
100. 0 Fue l Syste m

Failur e Rat e i n Descendin g Percen t
30. 4 30. 3 28. 2 23. 4 23. 2 22. 3 22. 2 22. 1 19. 8 19. 7 18. 6 18.5 18. 4 18. 1 18. 1 18. 0 17.3 17. 1 16.4 16. 0 15. 9 15. 7 15. 6 14.4 13. 1 13. 1
18. 8Tabl e 63

.

Vehicl e Mode ]

RELIAN T ARIE S VALIAN T MERCUR Y ECONOLIN E TYP E II I TEMP O RABBI T ACCOR D DAR T LEBARO N ESCOR T COROLL A AUD I DELT A8 8 OLD S 9 8 THUNDERBIR D OMN I VOLAR E CIVI C ASPE N LT D PINT O LESABR E CHEVYI I HORIZO N FUR Y B SERIE S VAN ELECTR A MUSTAN G CORDOB A CHEVELL E FIREBIR D CADILLA C CENTUR Y CAVALIE R Count s o f M V Fue l wit hAl l Failure s pe r IO O Total , a s Syste m ; Fue l Failure s i n Syste m a Functio no f (Source : NHTSA/OD I File s

MV Componen t

Fue l Syste m

L Coun t

58 8 49 0 57 3 61 3 74 3 41 6 34 6 174 7 54 9 46 5 55 9 68 3 28 4 28 8 62 4 28 9 45 2 75 8 1105 33 2 82 9 78 8 43 6 31 6 28 5 82 3 24 9 39 1 22 5 47 5 36 2 60 3 28 6 37 1 97 8 28 7 •/ • 1. 3 1. 1 1. 3 1. 3 1. 6 0. 9 0. 8 3. 8 1. 2 1. 0 1. 2 1. 5 0. 6 0. 6 1

. 4 0. 6 1. 0 1. 7 2. 4 0. 7 1. 8 1. 7 1. 0 0. 7 0. 6 1. 8 0. 5 0. 9 0. 5 1. 0 0. 8 1. 3 0. 6 0. 8 2. 1 0. 6 N Compariso n

Failur e Rate s Vehi c

Failure s

Tot a
Coun t
183 3 154 2 197 1 212 7 259 5 145 5 122 9 638 6 200 1 173 0 230 5 282 3 126 5 128 4 281 1 141 7 223 5 380 5 565 2 169 3 434 7 418 7 231 4 168 6 154 8 450 5 136 9 215 2 123 3 262 6 201 3 342 8 162 1 217 3 586 4 174 2 1
7.

0. 8 0. 6 0. 8 0. 9 1. 1 0. 6 0. 5 2. 6 0. 8 0. 7 0. 9 1. 2 0. 5 0. 5 1. 2 0. 6 0. 9 1. 6 2. 3 0. 7 1. 8 1. 7 0. 9 0. 7 0. 6 1. 8 0. 6 0. 9 0. 5 1. 1 0. 8 1. 4 0. 7 0. 9 2. 4 0. 7 :l e Model ;

Fue l Syste m Failur e Rat e i n Descendin g Percen t
32. 1 31. 8 29. 1 28. 8 28. 6 28. 6 28. 2 27. 4 27. 4 26. 9 24. 3 24. 2 22. 5 22. 4 22. 2 20. 4 20. 2 19. 9 19. 6 19. 6 19. 1 18. 8 18. 8 18. 7 18.4 18.3 18. 2 18. 2 18. 2 18. 1 18. 0 17. 6 17. 6 17. 1 16. 7 16. 5 P.9 5P.9 6

Tabl e 63

. (Cont'd )

Vehicl e Mode l M V Componen t Failure s Fue l Syste m Fai lur e Fue l Syste mTota l Rat e in Descendin g Coun t */

• Coun t */

. Percen t
CUTLAS S BONNEVILL E SUBAR U PIC KU P CN KSERIE S COUGA R CAMAR O MONT E CARL O FAIRMON T CHEVETT E F SERIE S LIGH T TR K MUSTAN GI I CAPRIC E GRANAD A SKYLAR K MONZ A PHOENI X GRAN DPRI X CELEBRIT Y OMEG A CITATIO N TORIN O CAPR I 115 3 23 7 29 6 24 3 24 1 33 8 32 5 40 2 68 9 73 5 19 5 69 4 39 0 58 9 23 0 31 2 23 7 19 6 29 0 66 9 12 4 21 5 2. 5

0. 5 0. 6 0. 5 0. 5 0. 7 0. 7 0. 9 1. 5 1. 6 0. 4 1. 5 0. 9 1. 3 0. 5 0. 7 0. 5 0. 4 0. 6 1. 5 0. 3 0. 5 699 8

146 0 184 1 153 3 154 2 216 4 215 5 267 5 459 9 512 2 137 6 491 8 286 3 432 5 172 9 235 3 178 9 153 6 234 0 633 4 125 3 248 9 2. 9

0. 6 0. 8 0. 6 0. 6 0. 9 0. 9 1. 1 1. 9 2. 1 0. 6 2. 0 1. 2 1. 8 0. 7 1. 0 0. 7 0. 6 1. 0 2. 6 0. 5 1. 0 16. 5

16. 2 16. 1 15. 9 15. 6 15. 6 15. 1 15. 0 15. 0 14. 3 14. 2 14. 1 13. 6 13. 6 13. 3 13. 3 13. 2 12. 8 12. 4 10. 6 9. 9 8. 6

AL L VEHICL E MODEL S 4440 8 100. 0 23623 3 100. 0 18. 8Tabl e 64

. Count s o f MV Fue l Emissio nContro l Failure s i nCompariso nwit hAl l Failures ; Fue l Emissio n Contro l Failur e Rate s pe r 10 0 Total , a s a Functio n o f Mode l Year ; (Source : NHTSA/OD I Files )

MV Componen t Failure s Fue l Ems s Contr 1

Mode l Yea r

7 4 7 5 7 3 7 9 6 0 7 7 7 8 8 3 7 1 7 6 8 4 8 6 8 2 8 1 8 7 8 0 7 0 7 2 8 5

Al l Fue l Ems s Co n

Coun t

3 1 5 0 1 3 4 8 1 6 5 4 5 5 2 5 4 3 7 2 6 1 0 1 9 2 2 2 2 5 1 2 6

44 6 y.

6. 9 11. 2 2. 9 10. 7 3. 6 12. 1 12. 3 5. 6 0. 9 8. 3 5. 8 2. 2 4. 3 4. 9 0. 4 5. 6 0. 2 0. 4 1. 3

100. 0 tr i Tota l

Coun t

883 7 1443 4 524 3 2094 2 742 5 2458 2 2805 3 1228 1 234 0 2211 3 1525 4 630 2 1397 7 1724 7 172 2 2441 6 153 3 362 3 923 3

23955 7 %

3. 6 5. 9 2. 2 8. 6 3. 0 10. 1 11. 5 5. 0 1. 0 9. 1 6. 3 2. 6 5. 7 7. 1 0. 7 10. 0 0. 6 1. 5 3. 8

lOO. O Failur e

Rat e i n Descendin g Percen t

0.3 5 0.3 5 0.2 5 0.2 3 0.2 2 0.2 2 0.2 0 0.2 0 0.1 7 0.1 7 0.1 7 0.1 6 0.1 4 0.1 3 0.1 2 0.1 0 0.0 7 0.0 6 0.0 6

0.18 6P.9 8

Tabl e 65

. Count s o f M V Fue l Emissio nContro l Failure s i nCompariso nwit hAl l Failures ; Fue l Emissio n Contro l Failur e Rate s pe r 10 0 Total , a s a Functio n o f Vehicl e Make ; (Source : NHTSA/OD I Files )

MV Componen t Failure s Fue l Ems s Contr 1 •.

— Failur e Fue l Ems s Contr 1 Tota l Rat e i n Descendin g Vehicl e Mak e Coun t */

. Coun t 7. Percen t SUBAR U JEE P MAZD A DATSU N HOND A VOLV O VOLKSWAGE N FIA T PLYMOUT H FOR D TOYOT A LINCOL N AMERICA NMOTOR S DODG E TRUC K PONTIA C CHRYSLE R DODG E CHEVROLE T CADILLA C MERCUR Y FOR D TRUC K CHEVROLE T TRUC K BUIC K OLDSMOBIL E AUD I GM C

AL L MAKE S 1 0 1 1 5 1 1 1 4 9 3 0 8 3 9 5 9 8 4 1 1 8 2 2 1 1 2 4 5 0 8 1 2 1 1 7 1 6 1 7 2 1

40 8 2. 2

2. 5 1. 1 2. 5 3. 1 2. 0 6. 7 1. 8 8. 7 13. 2 1. 8 0. 9 2. 5 1. 8 4. 9 2. 5 5. 4 U . 2 1. 8 2. 7 2. 5 1. 6 3. 6 3. 8 0. 4 0. 2

100. 0 198 7

232 0 123 7 307 3 403 9 275 3 1080 2 314 0 1671 3 2793 5 330 5 199 1 613 4 450 8 1311 5 738 1 1605 1 3272 2 580 3 1057 7 992 7 625 7 1534 5 1654 3 262 3 180 8

22858 9 0. 8

1. 0 0. 5 1. 3 1. 7 1. 1 4. 4 1. 3 6. 9 11. 5 1

. 6 0. 8 2. 5 1. 9 5. 4 3. 0 6. 6 13. 4 2. 4 4. 3 4. 1 2. 6 6. 3 6. 8 1, 1 0. 7

100. 0 0.5 0

0.4 7 0.4 0 0.3 6 0.3 5 0.3 3 0.2 8 0.2 5 0.2 3 0.2 1 0.2 1 0.2 0 0.1 8 0.1 8 0

. 1 7 0.1 5 0.1 5 0.1 5 0.1 4 0.1 1 0.1 1 0.1 1 0.1 0 0.1 0 0.0 8 0.0 6

0.1 8P.9 9

Tabl e 66

. Referenc e t o Tecnica l Bulletin s Issue dbyMV

Mfr s Concernin g Vehicl e Component s i nNee do f Attention

. Count s o f MV Fue l System s i n Compariso nwit hAl l Components ; Fue l Syste m Incidenc e Rate s pe r 10 0 Total , a s a Functio n o f Mode l Year ; (Source : NHTSA/OD I Files) ;

Mode l Yea r
7 7 8 1 8 0 8 3 8 4 8 2 8 5 7 6 7 5 7 9 7 8 7 3 6 8 7 1 Unk n 8 6 7 4 8 7 7 2 7 0 6 7 6 9 MV

C

Fue l

Coun t
60 7 91 4 83 8 82 2 92 0 90 9 70 3 35 1 46 0 40 4 50 2 32 8 24 1 28 0 483 9 36 1 15 8 163 18 0 19 4 6 7 14 1 ompone n Syste m
7.
4. 2 6. 3 5. 8 5. 7 6. 4 6. 3 4. 9 2. 4 3. 2 2. 8 3. 5 2. 3 1. 7 1. 9 33. 5 2. 5 1. 1 1. 1 1. 2 1. 3 0. 5 1. 0 t Incidenc e

Tota l

Coun t
228 8 348 4 353 2 347 4 408 3 421 9 353 7 178 5 255 1 230 2 299 5 215 6 160 8 198 0 3602 0 271 7 138 6 144 9 162 5 180 3 78 4 167 2 */ •

2. 6 4. 0 4. 0 3. 9 4. 6 4. 8 4. 0 2. 0 2. 9 2. 6 3. 4 2. 4 1. 8 2. 2 40. 9 3. 1 1. 6 1. 6 1. 8 2. 0 0. 9 1. 9 Fue l Syste m

Incidenc e Rat e i n Descendin g Percen t
26.5 3 26.2 3 23.7 3 23.6 6 22.5 3 21.5 5 19.8 8 19.6 6 18.0 3 17.55

. 16.7 6 15.2 1 14.9 9 14.1 4 13.4 3 13.2 9 1 1 .4 0 11.2 5 11.0 8 10.7 6 8.5 5 8.4 3

Al l 1444 7 100. 0 8800 8 100. 0 16.4p. 1

Tabl e 67 . Referenc e t o Tecnica l Bulletin s Issue db y M V Mfrs , Concernin gVehicl e Component s i nNee do f Attention . Count s o f M V Fue l System s i n Compariso nwit hAl l Components ; Fue l Syste m Incidenc e Rate s pe r 10 0 Total , a s a Functio n o f Vehicl e Make ; (Source : NHTSA/OD I Files) ;

Vehicl e Mak e

PLYMOUT HTRUC K CHRYSLE R PLYMOUT H DODG E TRUC K DODG E VOLV O FOR DTRUC K AUD I JEE P MERCUR Y VOLKSWAGE N JAGUA R FOR D PONTIA C CHEVROLE T SAA B CADILLA C CHEVROLE T TRUC K PORSCH E AMERICA N

MOTOR S LINCOL N BUIC K OLDSMOBIL E AMERICA N

MOTOR S MAZD A SUBAR U FOR DENGLIS H BMW GM C TOYOT A MERCEDE S FIA T ROLL S ROYC E M V Componen t Incidenc e

Fue l Syste m

Tota l

Coun t •/

, Coun t V. Fue l Syste m Incidenc e Rat e i n Descendin g Percen t

23 9 39 5 56 6 40 3 64 9 31 5 86 8 20 8 15 1 lll l 44 6 9 4 116 3 52 5 53 7 16 4 28 9 26 2 15 9 16 3 44 5 44 4 50 0 7 8 10 2 6 2 11 3 14 4 32 5 26 2 19 1 6 7 6 0 1. 7 2. 8 4. 0 2. 8 4. 6 2. 2 6. 1 1. 5 1. 1 7. 8 3. 1 0. 7 8. 2 3. 7 3. 8 1. 2 2. 0 1. 8 1. 1 1. 1 3. 1 3. 1 3. 5 0. 5 0. 7 0. 4 0. 8 1. 0 2. 3 1. 8 1. 3 0. 5 0. 4 79 2

153 6 234 7 168 4 292 6 158 9 442 1 111 3 81 3 606 9 249 6 53 0 657 8 298 8 315 0 98 5 173 9 163 4 101 9 108 0 295 9 295 8 349 1 56 0 73 3 44 7 81 6 104 4 247 4 202 1 154 5 54 8 79 3 0. 9

1. 8 2. 7 2. 0 3. 4 1. 8 5. 1 1. 3 0. 9 7. 0 2. 9 0. 6 7. 6 3. 5 3. 7 1. 1 2. 0 1. 9 1. 2 1. 3 3. 4 3. 4 4. 0 0. 6 0. 8 0. 5 0. 9 1. 2 2. 9 2. 3 1. 8 0. 6 0. 9 30.1 3

25.7 2 24.1 2 23.9 3 22.1 8 19.8 2 19.6 3 18.6 9 18.5 7 18.3 1 17.8 7 17.7 4 17.6 8 17.5 7 17.0 5 16.6 5 16.6 2 16.0 3 15.6 0 15.0 9 15.0 4 15.0 1 14.3 2 13.9 3 13.9 2 13.8 7 13.8 5 13.7 9 13.1 4 12.9 6 12.3 6 12.2 3 7.5 7

AL L MAKE S 1444 7 100. 0 8800 8 100. 0 16. 4P. 2

Tabl e 68

. Referenc e t o Tecnica l Bulletin s Issue dbyMV Mfrs , Concernin g Vehicl e Component s i nNee do f Attention

. Count s o f MV

Fue l Emissio nContro l System s i n Compariso nwit hAl l Components ; Fue l Emissio nContro l Incidenc e Rate s pe r 10 0 Total , a s a Functio no f Mode l Year ; (Source : NHTSA/OD I Files) ;

MV Componen t Incidenc e Fue l Ems s Contr 1

: j n c j denc e Fue l Ems s Contr 1 Tota l Rat e i n Mode l : Descendin g Yea r Coun t 7. Coun t % Percen t

___ _ 7 9 7 7 8 2 8 1 8 3 7 8 7 3 7 4 7 5 8 0 8 4 7 6 6 8 8 5 Unk n 7 0 7 1 8 7 8 6 7 2 6 7 6 9


### Al l ____ _

6 0 5 5 9 0 7 4 6 9 5 2 3 4 2 1 3 4 4 2 4 2 1 7 1 4 2 7 21 2 9 8 5 9 5 2 1

88 2 —— — 6. 8 6. 2 10. 2 8. 4 7. 8 5. 9 3. 9 2. 4 3. 9 4. 8 4. 8 1. 9 1. 6 3. 1 24. 0 1. 0 0. 9 0. 6 1. 0 0. 6 0. 2 0. 1

100. 0 230 2

228 8 421 9 348 4 347 4 299 5 215 6 138 6 255 1 353 2 408 3 178 5 160 8 353 7 3602 0 180 3 198 0 144 9 271 7 162 5 78 4 167 2

8800 8 —

— — 2. 6 2. 6 4. 8 4. 0 3. 9 3. 4 2. 4 1

. 6 2. 9 4. 0 4. 6 2. 0 1. 8 4. 0 40. 9 2. 0 2. 2 1. 6 3. 1 1. 8 0. 9 1. 9

100. 0 2.6 1

2.4 0 2.1 3 2.1 2 1 .9 9 1.7 4 1.5 8 1.5 2 1.3 3 1.1 9 1 • - 0 3 0.9 5 0.8 7 0.7 6 0.5 9 0.5 0 0.4 0 0.3 5 0.3 3 0.3 1 0.2 6 0.0 6

1.0 0P. 3

1 * *

Tabl e 69

. Referenc e t o

Concernin g Ve Count s o f M

V Compariso nw i Incidenc e Ra t Vehicl e Make ;

, F u Vehicl e Mak e
PLYMOUT H TRUC K CHRYSLE R PLYMOUT H DODG E TRUC K DODG E FOR D TRUC K VOLKSWAGE N FIA T SUBAR U CHEVROLE T CHEVROLE T TRUC K FOR D GM C MAZD A JAGUAR TOYOT A CADILLA C MERCUR Y PONTIA C BM W AMERICANMOTOR S JEE P BUIC K CHRYSLE R PORSCH E MERCEDE S BEN Z LINCOL N SAA B VOLV O OLDSMOBIL E ROLL S ROYC E AUD I

AL L MAKE S Tecnic a 1 Bull e

hicl e Compone n Fue l Em t hAl l e s pe r issio n tin s I

t s i n Contr c ssue d Nee dc 1 Sys t Components ; Fue l Ef f 10 0 To t al , a s (Source : NHTSA/OD I

M V C o

e l Ems s

- Coun t
2 9 5 3 6 7 4 0 6 0 8 1 4 1 8 6 3 8 1 9 6 4 2 4 7 5 1 9 1 6 5 0 2 4 8 8 6 2 0 3 6 9 1 7 5 8 1 7 3 4 mponen t

Contr 1
%
3. 3 6. 0 7. 6 4. 5 6. 8 9. 2 4. 7 0. 9 0. 7 4. 3 2. 2 7. 3 2. 7 0. 8 0. 6 2. 2 1. 8 5. 7 2. 7 0. 9 0. 9 0. 7 2. 3 0. 3 0. 7 1. 0 1. 9 0. 6 0. 9 1. 9 0. 3 0. 5
88 2 100. 0 Inci d

To t

Coun t
79 2 153 6 234 7 168 4 292 6 442 1 £49 6 54 8 4 4 7 315 0 163 4 657 8 247 4 73 3 53 0 202 1 173 9 606 9 298 8 104 4 108 0 81 3 295 8 48 9 101 9 154 5 295 9 98 5 158 9 349 1 79 3 111 3
8800 8 b

y f - MV Mfrs , Attention

. ;ems i n lissio nContro l a Func t Files )

enc e

a l

*/ . 0. 9 1. 8 2. 7 2. 0 3. 4 5. 1 2. 9 0. 6 0. 5 3. 7 1. 9 7. 6 2. 9 0. 8 0. 6 2. 3 2. 0 7. 0 3. 5 1. 2 1. 3 0. 9 3. 4 0. 6 1. 2 1. 8 3. 4 1. 1 1. 8 4. 0 0. 9 1. 3
100. 0 ; io no f

Fue l Ems s Contr 1
±iIL . lueiit e Rat e i n Descendin g Percen t
3.6 6 3.4 5 2.8 5 2.3 8 2.0 5 1.8 3 1 .6 4 1.4 6 1.3 4 1.2 1 1.1 6 0.9 7 0.9 7 0.9 5 0.9 4 0.9 4 0.9 2 0.8 2 0.8 0 0.7 7 0.7 4 0.7 4 0.6 8 0.6 1 0.5 9 0.5 8 0.5 7 0.5 1 0.5 0 0.4 9 0.3 8 0.3 6
1 .0 0P. 4



### Tabl e 70

. Frequenc yo f Fue l Syste mComponen t Failure s i nMoto r Vehicl e Owne r Complaint s (NHTSA/OD I Files )

Vehicl e Mak e Fue l System— Coun t Percen t Fue l Systema s %
o f Al l Component:

-

FOR D CHEVROLE T PLYMOUT H DODG E VOLKSWAGE N OLDSMOBIL E BUIC K PONTIA C FORD-TRUC K MERCUR Y CHRYSLE R CADILLA C AMERICAN-MOTOR S HOND A VOLV O CHEVROLET-TRUC K DODGE-TRUC K AUD I TOYOT A DATSU N FIA T JEE P NISSA N LINCOL N SUBAR U SAA B MAZD A GM C MERCEDE S BM W PORSCH E RENAUL T PEUGEO T TRIUMPH...

. M G PLYMOUTH-TRUC K INTERNATIONA L JAGUA R TOYOTA-TRUC K DATSUN-TRUC K OPE L ISUZ U ALFA-ROME O LANCI A MITSUBISH I 513 1 471 8 368 9 357 8 304 9 283 7 241 5 204 3 183 8 182 8 163 7 105 3 97 9 94 5 83 3 81 8 81 2 797

- 75 5 71 3 51 4 42 1 38 2 37 1 31 5 26 7 24 4 23 6 23 4 21 0 20 0 19 8 15 3 13 9 12 1 11 2 9 9 8 8 8 5 6 9 6 1 5 6 4 7 4 7 4 4 11. 4

10. 4 8. 2 7. 9 6. 7 6. 3 5. 3 4. 5 4. 1 4. 0 3. 6 2. 3 2. 2 2. 1 1. 8 1. 8 1. 8 1. 8 1. 7 1. 6 1. 1 0. 9 0. 8 0. 8 0. 7 0. 6 0. 5 0. 5 0. 5 0. 5 0. 4 0. 4 0. 3 0. 3 0. 3 0. 2 0. 2 0. 2 0. 2 0. 2 0. 1 0. 1 0. 1 0. 1 0. 1 1 8

1 4 2 2 2 2 2 8 1 7 1 5 1 5 1 8 1 7 2 2 1 8 1 6 2 3 3 0 1 3 1 8 3 0 1 9 2 3 1 6 1 8 3 7 1 8 1 5 25

. 19

. 13

. 32

. 26

. 29

. 17

. 18

. 15

. 23

. 20

. 15

. 29

. 13

. 17

. 33

. 31

. 33

. 20

. . 4

. 4

. 1

. 3

. 2

. 1

. 7

. 6

. 5

. 3

. 2

. 1

. 0

. 4

. 3

. 1

. 0

. 4

. 8

. 2

. 4

. 1 2

. 6 9 4 7 1 5 4 2 4 7 4 4 6 9 8 0 4 0 1 6 0 

### 30. 6
Al l 4518 1 100. 0 18. 9T f

Q ) U ) U l ( U

*H * o • » * 0 U l < c • H U l 4 J Xi Q ) C r H 0) r H C P 0 C Q
e o ) 0 o U - H
e 

# 7

< D C D

- P C O U l > i H C O flJ U r H - H Q ) G 3 X ! fe O < D < WE H O U l >> u 0 < w C S 3 0) 

## & 3 Q ) O U - H fe ^ O > • H fc r - o

• p < D O r H S 3 j a c d C E H - H .

^ » v U l a ) t-i

• H C M H a o \ < c o H X 55 N

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r H (1 ) 3 Um

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r-i o p CM 1 j j U l

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r- H r-i <

< W o

• p

a) 0 } H a > tf

- p c ? 0 a

a ) * ( d S 3

a i r H 0 •r H Xi a > > r^

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## 3 H C Q O S 3 C O 

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c CU c o fi ft U l C O

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• p fi o I I lcovocoeocoo\vooo>HCTir»eor^inincnCTioooinHocoCTioorginrgooeoTfTfr^oeor»i n U l U I > , i inoovoTfcoinooovoHinvocoocoTfooeooinoi^oincNcococoTfcoooTfinrHoovovo o OrHICNrHrHrHCNincOrgTj'eOrHrHeOeNCNeOHrHeoHrgTf'^rMrgrHr g I O H M Wr l CMrHT fVO H C O

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I I lenrgcnr^r^Tfot^ineoooococococoeoeoHHCTiCTiCTiCTiffivovoTfTfcMrgffit^r^r^t^ininini n
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### Tabl e 73

. Frequenc yo f Fue l SystemComponent s Appearin g i nNHTS AM

V Defect s Investigation s (NHTSA/OD I Files )

.

Fue l SystemFue l Systema s % Vehicl e Mak e Coun t Percen t o f Al l Components ;

FOR D G M CHRYSLE R V W AM C IH C NISSA N VOLV O TOYOT A BM W HOND A SAA B MERCEDE S FIA T RENAUL T SUBAR U MAZD A PEUGEO T 4 6 4 3 2 0 1 5 1 3 1 2 1 1 1 1 1 0 9 7 5 4 3 3 3 2 2 21. 0

19. 6 9. 1 6. 8 5. 9 5. 5 5. 0 5. 0 4. 6 4. 1 3. 2 2. 3 1. 8 1. 4 1. 4 1. 4 0. 9 0. 9 19. 9

15. 7 15. 6 27. 8 21. 3 22. 2 32.4 55. 0 30. 3 47. 4 18. 4 29. 4 30. 8 20. 0 42. 9 21.4 20. 0 18. 2



### Al l 21 9 100. 0 21. 2P. 8



### Tabl e 74

. Lis t o f Codes , Counts , andPercen t Distributio n

o f Fue l Relate dM

V Components , Reporte da s Failin g i nOwne r Complaints , Irrespectiv e o f Fir e (NHTSA/OD I Files )

# # Cod e Coun t Percen t Decode dNam e

1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 2 0 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 9 3 0 3 1 3 2 3 3 3 4 3 5 3 6 3 7 3 8 3 9 4 0 4 1 4 2 4 3 4 4 600000 0 601000 0 601100 0 601103 0 601108 0 601109 0 601200 0 601201 0 601202 0 601400 0 601500 0 601600 0 601700 0 601900 0 610000 0 611000 0 611100 0 611200 0 611300 0 611400 0 611500 0 611600 0 611601 0 612000 0 612100 0 612200 0 612300 0 612400 0 612500 0 613000 0 613100 0 613200 0 613300 0 613400 0 613500 0 613600 0 614000 0 614001 0 614002 0 616000 0 620000 0 621000 0 621100 0 621200 0 272 9

4 3 1 1 1 3 1 7 1 3 5 3 0 4 5 2 1 207 7 102 8 18 3 34 2 203 2 24 2 21 8 1 6 5 24 1 5 5 4 6 7 7 8 2 62 8 18 8 70 6 5 0 3 2 21 9 157 8 20 4 1 5 1 0 13 6 . 675 6 7129
- 5 6 19 9 6.0 4

0.0 1 0.0 1 0.0 0 0.0 0 0.0 0 0.0 7 0.0 2 0.0 3 0.0 1 0.0 7 0.1 0 0.0 0 0.0 0 4.6 0 2.2 7 0.4 0 0.7 6 4.5 0 0.5 4 0.4 8 0.0 4 0.0 1 0.5 3 0.1 2 0.0 1 0.1 5 0.1 7 0.0 0 1.3 9 0.4 2 1.5 6 0.1 1 0.0 7 0.4 8 3.4 9 0.4 5 0.0 3 0.0 2 0.3 0 14.9 5

- 15.7 7 0.1 2 0.4 4 

### FUE L SYSTEM S I NGENERAL LP GLP GGASOLINE FUE L SYSTE M LP GCONTAINE RTANKASSEMBL Y LP GVALVE LIQUI D FIL L LP GGAUG E FLOAT SENDE R LP GVALV E VAPO RSERVIC E LP GLINE S FITTING S SYSTEM S LP GLINE S PIPE S METALLI C LP GLINE S NONMETALLI C LP GVAPORIZE RREGULATO RCONVERTE R LP GCARBURETO R LP GGASOLINE CARBURETO R LP GPANE L DASHBOARD CONTRO L LP GOTHE RPART S FUE L SYSTEM S FUE L TANKASSEMBL Y FUE L TANKASSEMBL YCA P FILLE R FUE L TANKASSEMBL YPIP E FILLE RNEC K FUE L TANKASSEMBL YTANK FUE L TANKASSEMBL YGAUG E FUE L FUE L TANKASSEMBL YATTACHMENT S FUE L TANKAUXILLARY FUE L TANKAUXILLARYSELECTO RNSWITC H FUE L EMISSIONCONTRO L FUE L EMISSIONCONTRO L LINE S VAPO RVENT FUE L EMISSIONCONTRO L VALVE OVERFIL L L FUE L EMISSIONCONTRO L CANISTE R FUE L EMISSIONCONTRO L VALVE FUE L EMISSIONCONTRO L RETARDE R FUE L LINE S FITTING S AND PUM P FUE L LINE S METALLI C FUE L LINE S HOSE S NONMETALLI C - FUE L LINE S FITTING S METALLI C FUE L LINE S FITTING S NONMETALLI C FUE L FILTE RLINE FUE L PUM P FUE L SYSTE MOTHE RPART S FUE L SYSTE MWATE RFUE L DETECTIONSYST E FUE L SEPARATO R8 8 2 TURB O CHARGE R FUE L CARBURETION CARBURETO RUNKNOW

NTYP E CARBURETO RUNKNOW

NTYP E CLEANE R CARBURETO RUNKNOW

NTYP E MANIFOL D INTA KP. 9



### Tabl e 7 4 (Cont'd )
# # Cod e Coun t Percen t Decode dNam e

45 4 6 4 7 4 8 4 9 5 0 5 1 5 2 5 3 5 4 5 5 5 6 5 7 5 8 5 9 6 0 6 1 6 2 6 3 6 4 6 5 6 6 6 7 6 8 6 9 7 0 7 1 7 2 7 3 74 75 7 6 7 7 7 8 7 9 8 0 8 1 8 2 8 3 8 4 85 8 6 8 7 8 8 8 9 9 0 9 1 9 2 621210 0 621300 0 622000 0 622100 0 622200 0 622210 0 622300 0 623000 0 623100 0 623200 0 623210 0 623300 0 624000 0 624100 0 624200 0 624210 0 624300 0 625000 0 626000 0 630000 0 631000 0 631100 0 631200 0 631300 0 631400 0 631500 0 631600 0 631700 0 632000 0 632100 0 632200 0 632300 0 632400 0 632500 0 632600 0 632700 0 633000 0 633100 0 633200 0 633300 0 633400 0 633500 0 633600 0 633700 0 634000 0 634100 0 634200 0 634400 0 734

68 7 7 8 3 4 2 1 3 9 16 7 8 1 0 1 5 5 4 10 7 1 3 6 5 8 2 3 1 705 984 1 0 15 9 19 6 10 6 1 1 1 6 28 9 49 7 3 3 1 2 8 2 4 6 2 54 1 9 1 4 4 6

1 • 2 7 4 1 2 1 1.6 2 1.5 2 0.1 7 0.0 1 0.0 1 0.0 5 0.0 9 0.3 7 0.0 2 0.0 2 0.0 3 0.1 2 0.2 4 0.0 0 0.0 1 0.0 1 0.1 3 0.0 5 0.0 0 1.5 6 2.1 8 0.0 2 0.3 5 0.4 3 0.2 3 0.0 2 0.0 4 0.6 4 1.1 0 0.0 1 0.0 7 0.0 6 0.0 5 0.0 1 0.0 0 0.1 2 0.0 4 0.0 0 0.0 1 0.0 1 0.0 1 0.0 0 0.0 0 0.0 2 0.0 1 0.0 0 0.0 0 0.0 0 

### CARBURETO RUNKNOW NTYP E CHOK E CARBURETO RUNKOW

NTYP E OTHE RPART CARBURETO RSINGL E BARRE L CARBURETO RSINGL E CLEANE R CARBURETO RSINGL E MANIFOL D INTAK E CARBURETO RSINGL E CHOK E CARBURETO RSINGL E OTHE RPAR T CARBURETO RDOUBL E BARRE L CARBURETO RDOUBL E CLEANE R CARBURETO RDOUBL E MANIFOL D INTAK E CARBURETO RDOUBL E CHOK E CARBURETO RDOUBL E OTHE RPAR T CARBURETO RFOU

RBARRE L CARBURETO RFOU

RBARRE L CLEANE R CARBURETO RFOU

RBARRE L MANIFOL D INTAK E CARBURETO RFOU

RCHOK E CARBURETO RFOURBARRE L OTHE RPAR T CARBURETIONOTHE RPAR T CARBURETO RPROPANE GA S FUE L INJECTIONSYSTE M FUE L INJECTIONUNKNOW NTYP E FUE L INJECTIONUNKTYP E INJECTIONMAN I FUE L INJECTIONUNKTYP E LINE HOS E FUE L INJECTIONUNKTYP E ACCUMULATO R FUE L INJECTIONUNKTYP E DISTRIBUTO R FUE L INJECTIONUNKTYP E REGULATO R FUE L INJECTIONUNKTYP E VALVE START FUE L INJECTIONUNKTYP E INJECTO R FUE L INJECTIONELECTRICAL FUE L INJECTIONELECTRI C INJECTIONMAN I FUE L INJECTIONELECTRI C LINE HOS E FUE L INJECTIONELECTRI C ACCUMULATO R FUE L INJECTIONELECTRI C DISTRIBUTO R FUE L INJECTIONELECTRI C REGULATO R FUE L INJECTIONELECTRI C VALVE STAR T FUE L INJECTIONELECTRI C INJECTO R FUE L INJECTIONMECHANICAL FUE L INJECTIONMECHANICAL IN J MANIFOL D FUE L INJECTIONMECHANICAL LINE HOS E FUE L INJECTIONMECHANICAL ACCULULATO R FUE L INJECTIONMECHANICAL DISTRIBUTO R FUE L INJECTIONMECHANICAL REGULATO R FUE L INJECTIONMECHANICAL VALVE STAR T FUE L INJECTIONMECHANICAL INJECTO R FUE L INJECTIONCONTINUOU S FUE L INJECTIONCONTINUOU S IN J MANIFOL D FUE L INJECTIONCONTINUOU S LINE HOS E FUE L INJECTIONCONTINUOU S DISTRIBUTO RP.1 0



### Tabl e 7 4 (Concluded )
# # Cod e Coun t Percen t Decode dNam e

9 3 9 4 9 5 9 6 9 7 9 8 9 9 10 0 10 1 10 2 10 3 10 4 10 5 10 6 10 7 10 8 10 9 11 0 11 1 11 2 11 3 11 4 11 5 11 6 11 7 11 8 634700 0 635000 0 635100 0 635110 0 640000 0 641000 0 642000 0 643000 0 644000 0 645000 0 646000 0 647000 0 650000 0 651000 0 652000 0 653000 0 654000 0 660000 0 661000 0 661000 1 662000 0 663000 0 664000 0 665000 0 665100 0 665200 0 8

5 7 14 9 1 4 459 8 68 7 17 8 93 7 7 9 8 4 6 3 4 36 6 12 8 8 0 13 0 34 9 146 4 58 1 9 2 42 6 705 22 6 81 7 83 1 4 4 0 0 0 0 1 0 1 0 2 0

. 0 0

. 0

. 0

. 0

. 0

. 0

. 0

. 3

. 1

. 0

. 0

. 1

. 0

. 1

. 1

. 0

. .0 2 .1 3 .3 3 0 3 .1 7 5 2 3 9 0 7 1 7 1 9 1 4 0 1 8 1 2 8 1 8 2 9 7 7 2 4 2 9 2 0 9 4 5 6 5 0 8 1 8 4 1 0 

### FUE L INJECTIONCONTINUOU S INJECTOR FUE L INJECTIONOTHE RPART S FUE L INJECTIONIDL E SPEE D CONTRO L UNI T FUE L INJECTIONIDL E SPEE D CONTRO L VALV THROTTL E LINKAGE S AND CONTRO L THROTTL E LINKAGE S AND CONTRO L PEDAL THROTTL E LINKAGE S ACCELERATO RRIGI D THROTTL E LINKAGE S ACCELERATO RFLEXIBL E THROTTL E LINKAGE S NCONTRO L CA MFAS T I THRT L LNKGNCTR L SOLENOI D VLV S SWC H B THRT L LNKGNCNTR L RETURNSPRING THRT L LNKGNCNTR L MOTORCYCL E EXHAUS T CRANKCAS E EMISSIONCONTRO L DE V EXHS T CRNKCS E EMISSIONCNTR L PUM P AI R EXHS T CRNKCS E EMISSIONCNTR L HOSE S LI N EXHS T CRNKCS E EMISSIONCNTR L CHEC KVA L EGRVALV E EXHAUS T SYSTE M EXHAUS T SYSTE MMANIFOL D ENGINE EXHAUS T SYSTE MMANIFOL D OXYGE NSEN S EXHAUS T SYSTE MPIP E EXHAUS T EXHAUS T SYSTE MMUFFLE RRESONATO R EXHAUS T SYSTE MTAI L PIP E CATALYTI C CONVERTE RSYSTE M CONVERTE R SENSO RCONTRO L UNI T

Al l 4520 0 100.0 0 Al lP.1 1



### Tabl e 75

. Lis t o f Codes , Counts , andPercen t Distributio n

o f Fue l Relate dM

V Components , Reporte da s Failin g i nOwne r Complaints , wit hFir e Occurrenc e (NHTSA/OD I Files )

# # Cod e Coun t Percen t Decode dNam e

1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 2 0 2 1 2 2 2 3 2 4 25 2 6 2 7 2 8 2 9 3 0 3 1 3 2 3 3 3 4 3 5 3 6 3 7 3 8 3 9 4 0 4 1 600000 0 601000 0 601200 0 601201 0 601202 0 601500 0 601600 0 610000 0 611000 0 611100 0 611200 0 611300 0 611500 0 611600 0 611601 0 612000 0 612100 0 612300 0 612400 0 613000 0 613100 0 613200 0 613300 0 613400 0 613500 0 613600 0 614000 0 616000 0 620000 0 621000 0 621100 0 621200 0 621210 0 621300 0 622000 0 622300 0 623000 0 623100 0 623300 0 624000 0 624100 0 10 4

2 1 1 1 4 2 4 40 7 7 0 1 2 1 2 10 7 2 1 1 8 4 8 3 17 1 4 2 16 3 8 1 1 2 7 3 2 1 4 1 1 41 3 24 6 7 7 1 5 3 5 1 1 1 1 1 1 1 6 1 3.6 5 0.0 7 0.3 9 0.0 4 0.1 4 0.0 7 0.1 4 14.2 8 2.4 6 0.4 2 0.4 2 3.7 5 0.0 7 0.0 4 0.0 4 0.2 8 0.1 4 0.2 8 0.1 1 6.0 0 1.4 7 5.7 2 0.2 8 0.3 9 0.9 5 1.1 2 0.4 9 0.3 9 14.4 9 8.6 3 0.2 5 0.2 5 0.5 3 1.2 3 0.0 4 0.0 4 0.3 9 0.0 4 0.0 4 0.5 6 0.0 4 

### FUE L SYSTEM S I NGENERAL LP GLP GGASOLINE FUE L SYSTE M LP GLINE S FITTING S SYSTEM S LP GLINE S PIPE S METALLI C LP GLINE S NONMETALLI C LP GCARBURETO R LP GGASOLIN E CARBURETO R FUE L SYSTEM S FUE L TANKASSEMBL Y FUE L TANKASSEMBL YCA P FILLE R FUE L TANKASSEMBL YPIP E FILLE RNEC K FUE L TANKASSEMBL YTANK FUE L TANKASSEMBL YATTACHMENT S FUE L TANKAUXILLARY FUE L TANKAUXILLARYSELECTO RNSWITC H FUE L EMISSIONCONTRO L FUE L EMISSIONCONTRO L LINE S VAPO RVENT FUE L EMISSIONCONTRO L CANISTE R FUE L EMISSIONCONTRO L VALVE FUE L LINE S FITTING S AND PUM P FUE L LINE S METALLI C FUE L LINE S HOSE S NONMETALLI C FUE L LINE S FITTING S METALLI C FUE L LINE S FITTING S NO NMETALLI C FUEL

- FILTE RLINE FUE L PUM P FUE L SYSTE MOTHE RPART S TURB O CHARGE R FUE L CARBURETION CARBURETOR-UNKNOW

NTYP E

. _ CARBURETO RUNKNOW

NTYP E CLEANE R CARBURETO RUNKNOW

NTYP E MANIFOL D INTAK E CARBURETO RUNKNOW

NTYP E CHOK E CARBURETO RUNKOW

NTYP E OTHE RPAR T CARBURETO RSINGL E BARRE L CARBURETO RSINGL E OTHE RPAR T CARBURETO RDOUBL E BARRE L CARBURETO RDOUBL E CLEANE R CARBURETO RDOUBL E OTHE RPAR T CARBURETO RFOU

RBARRE L CARBURETO RFOU

RBARRE L CLEANE RP.1 2



### Tabl e 7 5 (Concluded )

# # Cod e Coun t Percen t Decode dNam e

4 2 4 3 4 4 4 5 4 6 4 7 4 8 4 9 5 0 5 1 5 2 5 3 5 4 5 5 5 6 5 7 5 8 5 9 6 0 6 1 6 2 6 3 6 4 65 6 6 6 7 6 8 6 9 7 0 7 1 7 2 73 74 75 7 6 7 7 7 8 624300 0 625000 0 630000 0 631000 0 631100 0 631200 0 631300 0 631400 0 631600 0 631700 0 632000 0 632100 0 632200 0 632300 0 632700 0 633200 0 634000 0 635000 0 635100 0 640000 0 641000 0 642000 0 643000 0 650000 0 651000 0 652000 0 653000 0 654000 0 660000 0 661000 0 661000 1 662000 0 663000 0 664000 0 665000 0 665100 0 665200 0 1 8

2 4 9 4 6 2 3 5 3 2 2 1 2 1 6 2 2 1 4 2 1 3 2 2 6 2 1 5 1 0 7 3 4 3 6 9 2 0 2 1 9 6 3 3 18 3 22 3 6 0.6 3 0.0 7 1.7 2 1.6 1 0.0 7 1.2 3 0.1 1 0.0 7 0.0 7 0.4 2 0.5 6 0.0 7 0.0 7 0.0 4 0.1 4 0.0 7 0.0 4 0.1 1 0.0 7 0.9 1 0.0 7 0.0 4 0.1 8 0.3 5 0.2 5 0.1 1 0.1 4 0.1 1 2.4 2 0.7 0 0.0 7 0.6 7 2.2 1 0.1 1 6.4 2 7.8 2 0.2 1 

### CARBURETO RFOURBARRE L OTHE RPART CARBURETIONOTHE RPAR T FUE L INJECTIONSYSTE M FUE L INJECTIONUNKNOW NTYP E FUE L INJECTIONUNKTYP E INJECTIONMANI F FUE L INJECTIONUNKTYP E LINE HOS E FUE L INJECTIONUNKTYP E ACCUMULATO R FUE L INJECTIONUNKTYP E DISTRIBUTOR FUE L INJECTIONUNKTYP E VALVE START FUE L INJECTIONUNKTYP E INJECTOR FUE L INJECTIONELECTRICAL FUE L INJECTIONELECTRI C INJECTIONMANI F FUE L INJECTIONELECTRI C LINE HOS E FUE L INJECTIONELECTRI C ACCUMULATO R FUE L INJECTIONELECTRI C INJECTOR FUE L INJECTIONMECHANICAL LINE HOS E FUE L INJECTIONCONTINUOU S FUE L INJECTIONOTHE RPART S FUE L INJECTIONIDL E SPEE D CONTRO L UNI T THROTTL E LINKAGE S AND CONTRO L THROTTL E LINKAGE S AND CONTRO L PEDAL THROTTL E LINKAGE S ACCELERATO RRIGI D THROTTL E LINKAGE S ACCELERATO RFLEXIBL E EXHAUS T CRANKCAS E EMISSIONCONTRO L DEV I EXHS T CRNKCS E EMISSIONCNTR L PUM P AI R EXHS T CRNKCS E EMISSIONCNTR L HOSE S LINE EXHS T CRNKCS E EMISSIONCNTR L CHEC K VALV EGRVALV E EXHAUS T SYSTE M EXHAUS T SYSTE MMANIFOL D ENGINE EXHAUS T SYSTE MMANIFOL D OXYGE NSENS O EXHAUS T SYSTE MPIP E EXHAUS T EXHAUS T SYSTE MMUFFLE RRESONATO R EXHAUS T SYSTE MTAI L PIP E CATALYTI C CONVERTE RSYSTE M CONVERTE R SENSO RCONTRO L UNI T
Al l 285 0 100.0 0 Al l