DOT HS 810 968 June 2008

National Pedestrian Crash Report 

This document is available to the public from the National Technical Information Service, Springfield, Virginia 22161
This publication is distributed by the U.S. Department of 

Transportation, National Highway Traffic Safety Administration, in the 

interest of information exchange. The opinions, findings, and 

conclusions expressed in this publication are those of the authors and 

not necessarily those of the Department of Transportation or the 

National Highway Traffic Safety Administration. The United States 

Government assumes no liability for its contents or use thereof. If trade 

or manufacturers' names or products are mentioned, it is because they 

are considered essential to the object of the publication and should not 

be construed as an endorsement. The United States Government does 

not endorse products or manufacturers. 

 

Technical Report Documentation Page

1. Report No. 

DOT HS 810 968

2. Government Accession No. 3. Recipient’s Catalog No. 

4. Title and Subtitle 

National Pedestrian Crash Report

5. Report Date

June 2008

6. Performing Organization Code 

NVS-424 

7. Author(s)

Dow Chang, Ph.D. and P.E. 

8. Performing Organization Report 

No. 

9. Performing Organization Name and Address 10. Work Unit No. (TRAIS)

National Center for Statistics and Analysis 

National Highway Traffic Safety Administration 

U.S. Department of Transportation 

1200 New Jersey Avenue SE. 

Washington, DC 20590

11. Contract or Grant No. 

12. Sponsoring Agency Name and Address 

National Center for Statistics and Analysis 

National Highway Traffic Safety Administration 

U.S. Department of Transportation 

1200 New Jersey Avenue SE. 

Washington, DC 20590

13. Type of Report and Period 

Covered 

NHTSA Technical Report 

14. Sponsoring Agency Code 

15. Supplementary Notes 

16. Abstract

The purpose of this technical report is to analyze the latest trends in pedestrian fatalities and police-reported motor vehicle

crashes involving a pedestrian in the United States since 1997. Key findings in the report are: 

• Pedestrian fatalities declined between 1997 and 2006. However, the probability of a pedestrian fatality in a crash 

increased while the probability of a pedestrian crash declined. 

• About two-thirds of pedestrian fatalities were in urban areas. Of the nearly 42,500 cities or towns listed according 

the U.S. Geographic Location Codes by the General Services Administration, only 13 percent of them accounted for those 

pedestrian fatalities in urban areas. 

• Nationwide, nearly two pedestrians died in vehicle crashes per 100,000 population, and a pedestrian crash death 

occurred every 70 million miles walked. 

• January 1 and October 31 were the two most deadly days of the year, having the highest number of pedestrian 

fatalities. 

• Pedestrians are more likely to be killed in a crash between 3 a.m. and 6 a.m. or during the weekend on Saturday

or Sunday. 

• Males have a much higher probability than females to be killed in a crash. 

• The older age group (over 64) has a much greater possibility than other age groups to be killed in a crash. 

• As a pedestrian’s blood alcohol concentration (BAC) increases, the probability of a pedestrian getting killed in a 

crash increases. 

• Pedestrians have a higher possibility to be killed in non-speeding conditions than in speeding conditions based on 

fatality per crash.

• Pedestrians are more likely to be killed in a crash under a sleet condition than under any other weather condition 

based on fatality per crash. 

• Pedestrians have a higher probability to be killed in a crash under a dark condition than under other light 

conditions. 

• With regard to posted speed limits, the higher the posted speed limit, the higher the probability of a pedestrian 

fatality.

17. Key Words 

Pedestrian fatalities, pedestrian crashes, pedestrian 

18. Distribution Statement 

This report is free of charge from the NHTSA Web site 

fatality probability, pedestrian crash probability, crash 

trend, crash location, crash time, pedestrian factors, 

vehicle driver factors, and other factors. 

at www.nhtsa.dot.gov

19. Security Classif. (of this

report) Unclassified

20. Security Classif. (of this

page) 

Unclassified 

21. No. of Pages 

63

22. 

Price

Form DOT F 1700.7 (8-72) Reproduction of completed page authorized 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 1

TABLE OF CONTENTS 

LIST OF FIGURES.......................................................................................................... 3

LIST OF TABLES ........................................................................................................... 5

EXECUTIVE SUMMARY ................................................................................................ 6

Purpose ...................................................................................................................... 6

Findings...................................................................................................................... 6

INTRODUCTION............................................................................................................. 8

Goals........................................................................................................................... 8

Methods...................................................................................................................... 8

Limitations ............................................................................................................... 10

LONG-TERM TREND ................................................................................................... 11

Proportion in Total Crash Death............................................................................. 11

Five Ways to See the Future................................................................................... 11

CRASH LOCATION...................................................................................................... 15

Crash Place .............................................................................................................. 15

Administration Region ............................................................................................ 16

Death Density........................................................................................................... 17

CRASH TIME................................................................................................................ 20

Calendar Unit ........................................................................................................... 20

Clock Time ............................................................................................................... 21

Death Time Interval.................................................................................................. 22

PEDESTRIAN INFORMATION..................................................................................... 24

Pedestrian Characteristics ..................................................................................... 24

Pedestrian Actions .................................................................................................. 26

DRIVER INFORMATION .............................................................................................. 28

Driver Characteristics ............................................................................................. 28

Driver Actions .......................................................................................................... 29

OTHER CRASH FACTORS.......................................................................................... 31

FINDINGS ..................................................................................................................... 34

Trend......................................................................................................................... 34

Location.................................................................................................................... 34
 NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 2

Time .......................................................................................................................... 35

Pedestrian Factors .................................................................................................. 35

Vehicle Driver........................................................................................................... 36

Other Factors ........................................................................................................... 36

APPENDIX A ................................................................................................................ 37

FARS Data 1997-2005 (Final), 2006 (ARF).............................................................. 37

APPENDIX B ................................................................................................................ 56

NASS GES Data 1997-2006 ..................................................................................... 56

Exposure Data.......................................................................................................... 58

APPENDIX C ................................................................................................................ 60

NHTSA Operation Regions ..................................................................................... 60

APPENDIX D ................................................................................................................ 61

References ............................................................................................................... 61
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 3

LIST OF FIGURES 

Figure 1-1: Distribution of Total Motor Vehicle Crash Fatalities by Person Type.......................................11

Figure 1-2: Pedestrian Fatalities and Police-Reported Pedestrian Crashes by Year.................................11

Figure 1-3: Percentage of Pedestrian Fatalities by Year............................................................................12

Figure 1-4: Annual Percent Change in Pedestrian Fatalities......................................................................12

Figure 1-5: Pedestrian Killed Probability and Crash Probability by Year....................................................13

Figure 1-6: Pedestrian Fatality Rate per One Billion VMT by Year ............................................................13

Figure 1-7: Pedestrians Killed by Crash Type and Year.............................................................................14

Figure 2-1: Distribution of Cities by Group of Pedestrian Killed..................................................................15

Figure 2-2: Distribution of Pedestrian Fatalities by NHTSA Operation Regions.........................................17

Figure 2-3: Average Pedestrian Fatality, Total Fatality, and Pedestrian Crash per Capita........................17

Figure 2-4: Average Pedestrian Fatality Rate per 100,000 Population by State........................................18

Figure 2-5: Miles per Pedestrian Fatality, Vehicle Occupant Fatality, and Pedestrian Crash....................19

Figure 2-6: Pedestrian Fatality Rate and Vehicle Occupant Fatality Rate per Mile Traveled ....................19

Figure 2-7: Pedestrian Crashes and Motor Vehicle Crashes per Mile Traveled ........................................19

Figure 3-1: Distribution of Pedestrian Fatalities by Day of the Week .........................................................20

Figure 3-2: Pedestrian Fatality Probability per Crash by Day of the Week ................................................21

Figure 3-3: Distribution of Pedestrian Fatalities by Month..........................................................................21

Figure 3-4: Distribution of Pedestrian Fatalities by Season........................................................................21

Figure 3-5: Distribution of Pedestrian Fatalities by Time of Day.................................................................22

Figure 3-6: Pedestrian Fatality Probability per Crash by Time of Day........................................................22

Figure 3-7: Average Pedestrian Fatalities, Total Crash Fatalities, and Pedestrian Crashes per Day........22

Figure 3-8: Average Minutes per Pedestrian Fatality, Total Fatality, and Pedestrian Crash......................23

Figure 4-1: Distribution of Pedestrian Fatalities by Sex..............................................................................24

Figure 4-2: Probability of a Pedestrian Killed per Crash by Sex.................................................................24

Figure 4-3: Distribution of Pedestrian Fatalities by Race............................................................................24

Figure 4-4: Distribution of Pedestrian Fatalities by Age Group...................................................................25

Figure 4-5: Distribution of Pedestrian Fatality and Population by Age Group ............................................25

Figure 4-6: Pedestrian Fatality Probability per Crash by Age Group..........................................................25

Figure 4-7: Distribution of Pedestrian Fatalities by Hispanic Origin............................................................26

Figure 4-8: Distribution of Pedestrian Fatalities by BAC Level...................................................................26

Figure 4-9: Pedestrian Fatality Probability per Crash by Alcohol Involvement...........................................26

Figure 4-10: Distribution of Pedestrian Action in Fatal Crashes.................................................................27

Figure 5-1: Distribution of Vehicle Drivers by Sex in Fatal Pedestrian Crashes.........................................28

Figure 5-2: Distribution of Vehicle Drivers by Age Group in Fatal Pedestrian Crashes .............................28

Figure 5-3: Distribution of Vehicle Drivers by Driver Survival Status..........................................................29

Figure 5-4: Distribution of Vehicle Drivers Involved by BAC Level.............................................................29
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 4

Figure 5-5: Distribution of Vehicle Drivers by Speeding Status..................................................................29

Figure 5-6: Pedestrian Fatality Probability per Crash by Driver Speeding Status......................................30

Figure 5-7: Driver Distribution by Behavior in Fatal Pedestrian Crashes ...................................................30

Figure 6-1: Distribution of Pedestrian Fatalities by Atmospheric Condition................................................31

Figure 6-2: Pedestrian Fatality Probability per Crash by Atmospheric Condition.......................................31

Figure 6-3: Distribution of Pedestrian Fatalities by Light Condition............................................................32

Figure 6-4: Pedestrian Fatality Probability per Crash by Light Condition ...................................................32

Figure 6-5: Distribution of Pedestrian Fatalities by Posted Speed Limit.....................................................33

Figure 6-6: Pedestrian Fatality Probability per Crash by Posted Speed Limit............................................33

Figure 6-7: Distribution of Pedestrian Fatalities by Hit-and-Run.................................................................33
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 5

LIST OF TABLES 

Table 1: Matrix of Figures and Tables by Data Sources and Variables--------------------------------------------- 9

Table 2: Distribution of Pedestrian Fatalities by Roadway Section and Crosswalk Availability --------------15

Table 3: Distribution of Pedestrian Fatalities by Roadway Function Class and Land Use --------------------16

Table 4: Top Five Cities With the Highest Pedestrian Fatalities -----------------------------------------------------16

Table 5: Top Three States With the Highest or Lowest Pedestrian Fatalities ------------------------------------16

Table 6: Deadliest Days for Pedestrians, Ranked by Specific Time Spans---------------------------------------20

Table 7: Distribution of Pedestrian BAC and Driver BAC in Fatal Pedestrian Crashes ------------------------32
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 6

EXECUTIVE SUMMARY 

Purpose 

The purpose of this technical report is to analyze the latest trends in pedestrian fatalities and policereported motor vehicle crashes involving a pedestrian in the United States since 1997. This report also 

attempts to provide some insight into the following pedestrian crash characteristics: 

•

•

•

•

•

Location 

Time 

Pedestrian factors 

Vehicle driver 

Other crash factors, such as weather, light condition, or posted speed limit 

Findings 

Major findings are summarized in two groups as shown below. 

KEY FINDINGS 

•

•

•

•

•

•

•

•

•

•

•

•

Pedestrian fatalities declined between 1997 and 2006. However, the probability of a pedestrian 

fatality in a crash increased while the probability of a pedestrian crash declined. 

About two-thirds of pedestrian fatalities were in urban areas. Of the nearly 42,500 cities or towns 

listed according the U.S. Geographic Location Codes by the General Services Administration, 

only 13 percent of them accounted for those pedestrian fatalities in urban areas. 

Nationwide, nearly two pedestrians died in vehicle crashes per 100,000 population, and a 

pedestrian crash death occurred every 70 million miles walked. 

January 1 and October 31 were the two most deadly days of the year, having the highest number 

of pedestrian fatalities. 

Pedestrians are more likely to be killed in a crash between 3 a.m. and 6 a.m. or during the 

weekend on Saturday or Sunday. 

Males have a much higher probability than females to be killed in a crash. 

The older age group (over 64) has a much greater possibility than other age groups to be killed in 

a crash. 

As a pedestrian’s blood alcohol concentration (BAC) increases, the probability of a pedestrian 

getting killed in a crash increases. 

Pedestrians have a higher possibility to be killed in non-speeding conditions than in speeding 

conditions based on fatality per crash. 

Pedestrians are more likely to be killed in a crash under a sleet condition than under any other 

weather condition based on fatality per crash. 

Pedestrians have a higher probability to be killed in a crash under a dark condition than under 

other light conditions. 

With regards to posted speed limits, the higher the posted speed limit, the higher the probability 

of a pedestrian fatality. 

GENERAL FINDINGS 

• Pedestrian crash deaths constituted 11 percent of total crash fatalities in 2006, down from 13 

percent in 1997. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 7

•

•

•

•

•

•

•

•

•

•

•

•

•

•

•

•

•

Pedestrian crash fatalities are decreasing slowly. 

The pedestrian fatality rate per vehicle mile traveled has declined as a longer term trend. 

Single-vehicle crashes on roadways make up an overwhelming majority of pedestrian deaths. 

The significance of non-intersections, urban roadways, and city streets as closely related to 

pedestrian fatalities mentioned in an early research report1

 are confirmed by this report. 

The number of pedestrians killed in NHTSA operation regions 4 and 9 is greater than any other 

NHTSA operation regions. 

California, Florida, and Texas have more pedestrian deaths than any other States. Based on the 

pedestrian death percentages as a proportion of total pedestrian fatalities, the cities of New York, 

Los Angeles, Chicago, Phoenix, and Houston are the top five. 

New Mexico has the highest pedestrian death rate per capita, and New Hampshire has 

the lowest. 

The most deadly season for pedestrian fatalities is autumn. 

The number of pedestrians killed between 6 p.m. and 9 p.m. is greater than during any other 

3-hour time frame. 

Friday and Saturday have higher fatality rates than any other day of the week. October, 

November, and December have higher fatality rates than any other month. These results are the 

same as in the previous report.2

On average, 13 pedestrians die in vehicle crashes each day, or one pedestrian every 

107 minutes. 

The majority of killed pedestrians were male, elderly, White, Non-Hispanic, and had no alcohol 

involvement, yet they carried out one or more unsafe actions during the crash. 

The majority of drivers in fatal pedestrian crashes were male, between the ages of 21 and 25, 

were not drinking, and were not speeding. 

This report also confirmed an earlier published report that almost all drivers survived the fatal 

pedestrian crashes, and most drivers committed at least one erroneous action. 

Bad weather does not necessarily contribute to a pedestrian death, but a bad light condition does. 

Nearly 46 percent of pedestrian fatalities are alcohol-involved. 

One in five pedestrians killed were killed in hit-and-run motor vehicle crashes. 

 

1 See reference No. 1 in Appendix D.

2

 See reference No. 7 in Appendix D.
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 8

INTRODUCTION 

To protect pedestrians from crashes with motor vehicles and reduce their risk on roadways is one of the 

main goals of transportation safety. Learning about and studying pedestrian crashes, especially those 

related to the deaths of pedestrians, is a part of the effort to reach that goal. 

This document describes pedestrian crash fatalities and injuries in the United States by providing 

statistics and crash characteristics. The statistics cover pedestrian crash deaths and injuries nationwide 

from 1997 to 2006. Results of the data analysis are reported. Procedures used to discover the findings 

are explained. 

The goals, methods, findings, and limitations of this technical report are introduced in the 

following subsections. 

Goals 

Although the title of this document indicates the focus of the report, many details such as pedestrian 

characteristics, roadway location, and crash date still need to be addressed. 

This statistical report follows up the previous report “Pedestrian Roadway Fatalities” published in April 

2003. The current report attempts to answer the following questions with details from the most recent 

available data: 

•

•

•

•

•

What is the latest trend in pedestrian crash deaths? 

Where are the fatal crashes? 

When do fatal crashes occur? 

Who are the vehicle drivers and pedestrians? 

What are other crash factors? 

Analyzing these factors and conditions will help in developing safety programs and countermeasures for 

pedestrian safety. 

Methods 

In order to reach the goals, five major steps were taken. 

First, the territory and time span were determined. This study covers Washington, DC; Hawaii; Alaska; 

and the 48 continental United States. Not included are Puerto Rico, the Virgin Islands, and other U.S. 

Territories. The analysis covers 10 years, from 1997 to 2006. 

Second, primary data was determined by analyzing the variables and examining the observations in 

Fatality Analysis Reporting System (FARS) and General Estimates System (GES) separately and 

combined. Twenty-six FARS variables have been used to create 29 distributions for pedestrian crash 

deaths. These joint distributions, also called cross tabs, were all determined by two single variables. They 

are presented in Appendix A. In addition, 12 GES variables have been used to create 11 distributions for 

pedestrian crashes. These distributions and their standard deviations are attached in Appendix B. 

Pedestrian crashes in this report are based on all police-reported crashes in which a pedestrian was killed 

or injured. The fatal pedestrian crashes are from the FARS, and other pedestrian crashes where injury 

occurred are from the GES in National Automotive Sampling System. 

Third, a literature survey was conducted to search secondary data sources and select the exposure data. 

Forty four documents published after 1990 were reviewed. All references are listed in Appendix D. The 

secondary data, shown in Tables B-12, B-13, and B-14 or in the article, came from the publications of the 

following six organizations: 

•

•

U.S. Census Bureau 

Transportation Research Board of the National Academies 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 9

•

•

•

•

Federal Highway Administration 

Bureau of Transportation Statistics 

Insurance Institute for Highway Safety 

National Highway Traffic Safety Administration 

Table 1: Matrix of Figures and Tables by Data Sources and Variables

Source Variable Name Factor Group Figure No. Table No. 

FARS 

Year Trend 1-1 to 1-7 

V_Forms 1-7 

City

Where 

 2-1 5

State 2-2 to 2-5 4

Location 2

Road_Fnc 3

Weekday

When 

 3-1 

Month 3-3, 3-4 

Hour 3-5 

Day 6

Sex 

Who 

4-1, 5-1 

P_CF1, to P_CF3 4-10 

Race 4-3 

Age 4-4, 4-5, 5-2 

Hispanic 4-7 

BAC 4-8, 5-4 7

Drinking 4-9 

Harm_Ev 5-3 

Speeding 5-5 

Dr_CF1 to Dr_CF4 5-7 

Weather 

Other Factors 

6-1 

Lgt_Cond 6-3 

Sp_Limit 6-5 

Hit_Run 6-7 

NASS GES 

Year Trend 1-2, 1-6 

Weekday When 3-2 

Hour_I 3-6 

Sex 

Who 

4-2 

Age 4-6 

Alcohol 4-9 

Speedrel 5-6 

Weather_I 

Other Factors 

6-2 

Lght_Con 6-4 

Spd_Lim 6-6 

Fourth, 46 figures and 6 tables were created using the gathered data in Appendix A and Appendix B. The 

organization of the data sources, variables, figures, and tables for this document are illustrated in Table 1. 

As the table shows, 7 figures were created to show trends. Seven figures and 4 tables were produced to 

show where crashes occurred. One table and 8 figures were produced to show when crashes occurred. 

Seventeen figures show who the pedestrians and drivers were. One table and 7 figures are dedicated to 

other crash factors. Figures 2-6 and 2-7 were not included in Table 1 because there is no connection 

between the figures and the listed variables. 

Finally, the results from the analysis were organized and used to support the findings.
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 10

Some differences between this report and the previous pedestrian report are: 

•

•

•

•

This report includes GES data to cover non-fatal pedestrian crashes; 

This report consists of additional exposure data, such as the number of walkers and their travel 

distance, to make the scope of analysis wider; 

In addition to pedestrian deaths in single-vehicle crashes, pedestrian deaths in multiple-vehicle 

crashes are included; and 

To identify patterns, three overlapping time spans are applied in this analysis. They are the 

overall 10-year period 1997-2006, the 5-year period of 2002-2006, and the 2-year period of 2005-

2006. After looking at all three time spans, it was determined that the differences between 10, 5, 

and 2 years are negligible. Therefore, only the analysis results for the 10-year period are shown 

in this document. 

Limitations 

Three major limitations of this report are: 

•

•

•

The national estimates produced from GES data may differ from the true values, because they 

are based on a probability sample of crashes and not a census of all crashes. The size of these 

differences may vary depending on which sample of crashes was selected and the universe from 

which they are selected. The standard deviations; shown in Appendix B, of an estimate is a 

measure of the precision or reliability with which an estimate from this particular GES sample 

approximates the results of a census. Care should be taken while interpreting trend in this report 

due to the year-to-year differences resulting from the sampling process. 

Multiple factors may affect a pedestrian crash. Generally, a pedestrian crash may have been 

caused by a variety of conditions meeting at the same time. Using many joint distributions of two 

single variables, this report explores the possible factors by combining two conditions at a time. 

Analyzing pedestrian crashes by simultaneously mixing a set of five or more crash conditions 

may create a better understanding of the actual factors of pedestrian fatalities. 

This report does not analyze all variables within the FARS files. Also, the analysis and its results 

for this report are limited by what the FARS and GES contain through calendar year 2006. 

Periodically undertaking studies and reporting further findings will assist in understanding any 

changes in crash factors. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 11

LONG-TERM TREND 

Trends in pedestrian crash fatalities since 1997 are presented in the following two subsections. 

Proportion of Total Crash Deaths 

Pedestrian crash deaths comprise one part of the total deaths from motor vehicle crashes. From 1997 to 

2006, there were 49,128 pedestrian fatalities, representing 12 percent all fatalities (424,840) in motor 

vehicle crashes. The rest of those killed in motor vehicle crashes were vehicle occupants (drivers and 

passengers), motorcycle riders, bicyclists, and others. 

Figure 1-1: Distribution of Total Motor Vehicle Crash Fatalities by Person Type

Pedestrian Crash Fatalities

12%

NonPedestrian 

88%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Comparing the pedestrian fatalities by gender, female pedestrian fatalities account for 11 percent of the 

total females killed in motor vehicle crashes. Male pedestrian fatalities make up approximately 12 percent 

of the total males killed in crashes. 

Five Ways to See the Future 

FEWER PEDESTRIAN CRASHES, FEWER PEDESTRIAN CRASH DEATHS 

The number of deaths in motor vehicle crashes maintained at around 43,000 per year between 1997 and 

2006. In some groups, notably among motorcycle riders, deaths have been increasing. Meanwhile, the 

pedestrian crash fatality rate continues a long-term decline. Since 1997, pedestrian fatalities have 

declined by 10 percent. This is the largest decrease in motor vehicle deaths among any person category. 

Figure 1-2: Pedestrian Fatalities and Police-Reported Pedestrian Crashes by Year

5,321 5,228

4,939 4,763 4,901 4,851 4,774 4,675 4,892 4,784

67,537

70,421

74,828 76,709 76,499

85,088 84,623

92,719

76,337

85,010

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Year

Number

Pedestrian Crash Death Pedestrian Crash

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 12

A review of FARS data shows that pedestrian crash deaths declined between 1997 and 2006. In 1997, 

there were an estimated 85,010 police-reported pedestrian crashes, and 5,321 of those incidents resulted 

in pedestrian deaths. In 2006, these figures declined to 67,573 for total pedestrian crashes and 4,784 for 

pedestrian crash deaths, a 20-percent decrease for pedestrian crashes (subject to sampling errors) and 

10-percent reduction for pedestrian crash deaths. This trend points out that pedestrian crashes are 

dropping faster than pedestrian crash deaths. Figure 1-2 shows pedestrian crashes on a downward trend 

since 1999. 

PERCENTAGE OF PEDESTRIAN DEATHS IS SHRINKING 

Pedestrians represented the second largest group of motor vehicle crash deaths before 2006, following 

only vehicle occupant deaths and exceeding motorcycle rider deaths. As seen in the trends, the 

pedestrian death problem has not worsened. In 2006, motorcycle rider fatalities surpassed pedestrian 

crash fatalities for the first time since 1975. This change made pedestrian crash deaths drop to the third 

largest proportion of crash fatalities by person type. 

The fraction of crash deaths made up by pedestrians decreased each year from 1997 to 2000, yet no 

significant changes have been seen between 2000 and 2006. Figure 1-3 shows the change of 

percentages from 1997 to 2006. 

Figure 1-3: Percentage of Pedestrian Fatalities by Year 

13 13

12

11

12

11 11 11 11 11

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Year

%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Pedestrian fatalities have decreased 8 of the 10 years between 1997 and 2006. The maximum increase 

was 4.6 percent in 2005, and the maximum reduction was 5.5 percent in 1999. As the figure below 

illustrates, the average change of pedestrian deaths from 1997 through 2006 is minus one percent 

per year. 

Figure 1-4: Annual Percent Change in Pedestrian Fatalities 

-2.3%

-1.7%

-5.5%

-3.6%

2.9%

-1.0%

-1.6% -2.1%

4.6%

-2.2%

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Yearly

Av erage

Source: FARS 1997-2005 (Final), 2006 (ARF) 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 13

HIGHER PROBABILITY OF A PEDESTRIAN KILLED IN A PEDESTRIAN CRASH 

In this subsection, the pedestrian crash probability is calculated by the number of police-reported 

pedestrian crashes divided by the total number of police-reported motor vehicle crashes. The number of 

pedestrian crashes is the number of pedestrians, fatal or not fatal, that collide with motor vehicles on 

roadway. The pedestrian fatality probability is obtained by the number of pedestrian crash fatalities 

divided by the total number of pedestrian crashes. In other words, the fatality probability is the average 

number of deaths per crash. 

Figure 1-5 shows that the pedestrian crash probability has not significantly changed over the past 

decade, yet the pedestrian fatality probability increased more than one third – from 5.3 percent in 1999 to 

7.1 percent in 2006. It has steadily increased since 1999. 

Figure 1-5: Pedestrian Fatality Probability and Crash Probability by Year 

6.3

6.8

6.3 6.2 6.2

6.9 7.1

1.3 1.2 1.5 1.3 1.3 1.2 1.2 1.2 1.1 1.1

5.8 5.6

5.3

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Year

% Fatality Probability Crash Probability

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006 

The results of a 10-year ratio analysis indicated that the crash probability of a pedestrian is 1 out of 100 

motor vehicle crashes, but the fatality probability of a pedestrian is 6 out of 100 pedestrian crashes. 

PEDESTRIAN FATALITIES PER VEHICLE MILES TRAVELED ARE DECREASING 

In this subsection, annual pedestrian deaths divided by annual vehicle miles traveled (VMT) as an 

indicator will be used to present the trends. In other words, the annual pedestrian death per VMT has 

been calculated for every year from 1997 to 2006. 

Figure 1-6: Pedestrian Fatality Rate per One Billion VMT by Year 

1.99

1.84

1.75

1.64 1.59

1.73

1.58

1.65 1.70

2.08

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Year

Ped death per 1 billion VMT

Source: FARS 1997-2005 (Final, 2006 (ARF) and FHWA Highway Statistics 

As shown in Figure 1-6, the pedestrian crash fatality rate per one billion VMT has been in a downward 

trend during the past 10 years. Pedestrian crash deaths per one billion VMT declined from close to 2.1 in 

1997 to near 1.6 in 2004. This rate stayed at roughly 1.6 with no significant change from 2004 to 2006. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 14

SINGLE-VEHICLE CRASHES DOMINANT CAUSE OF PEDESTRIAN DEATHS 

Figure 1-7 below shows the distribution of pedestrian fatalities by crash type and calendar year from 1997 

to 2006. The proportion of pedestrian deaths in single-vehicle (SV) crashes did not show any significant 

change between 1997 and 2006. Pedestrians are often killed in SV crashes. An overwhelming majority of 

pedestrian deaths – more than 90 percent – are in SV crashes. Pedestrian Fatalities

Figure 1-7: Pedestrians Killed by Crash Type and Year 

Single Vehicle Crash Multiple Vehicle Crash

4,876 4,801 4,516 4,340 4,480 4,445 4,310 4,445 4,237 4,327

92% 92%

91% 91% 91% 92% 90% 91% 91% 91%

445 427 423 423 421 406 464 438 447 457

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Year

Source: FARS 1997-2005 (Final), 2006 (ARF) 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 15

CRASH LOCATION 

In this section, the statistics relating to pedestrian crashes or fatalities on various roadway sections and 

location are presented. The pedestrian death density is also introduced as another measure of rate. 

Crash Place 

PEDESTRIAN LOCATION 

Over three-fourths (78%) of the pedestrians were killed at non-intersections and less than one-fourth 

(21.2%) were killed at intersections over the past decade. 

Table 2 shows that roadways without crosswalks accounted for 42 percent of all pedestrian fatalities. The 

table also shows that the percentage of pedestrian deaths in crosswalks (near 9%) is less than deaths in 

roadways (80%). This indicates that using a crosswalk is the safest way to cross a street.

URBAN AREA 

City streets (urban areas) accounted for almost 67 percent of all pedestrian crash deaths. According to 

U.S. Geographic Locator Codes (GLC) provided by the U.S. General Services Administration (GSA), the 

United States had about 42,488 cities or towns at the end of 2006. Between 1997 and 2006, 36,830 of 

the cities had no pedestrian deaths and 5,658 of the cities had pedestrian deaths – meaning 87 percent 

of the cities did not have pedestrian fatalities in motor vehicle crashes and only 13 percent of cities 

accounted for all pedestrian deaths in urban areas. 

Most of the cities that had pedestrian fatalities (90.4%) had 9 or fewer pedestrian deaths. Nearly 9 

percent of the cities had 10 to 99 pedestrian deaths. Only 0.8 percent of the cities have 100 or more 

pedestrian crash deaths. The city percentage distribution by the number of pedestrian fatalities is shown 

in Figure 2-1. 

Table 2: Distribution of Pedestrian Fatalities by Roadway Section and Crosswalk Availability

Pedestrian Location Section 

Crossw Total alk Availability Roadway Crosswalk Other 

Available 21.1% 8.8% 0.0% 29.9%

Not Available 41.8% 0.0% 6.1% 47.9%

Unknown 16.8% 0.0% 5.4% 22.2%

Total 79.7% 8.8% 11.5% 100.0%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Figure 2-1: Distribution of Cities by Number of Pedestrians Killed 

10-99 Killed Ov er 99

8.8% 0.8%

1 Killed 2-9 Killed

42.8% 47.6%

Source: FARS 1997-2005 (Final), 2006 (ARF) and US GLC 

ROADWAY FUNCTION CLASS 

Urban roads accounted for more than two-thirds (70.9%) of pedestrian crash deaths with nearly one-third 

of those on other principal arterial roads. Urban principal arterial roads (other than interstates and 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 16

expressways) accounted for over 25 percent of the pedestrians killed in motor vehicle crashes. Table 3 

shows the percentage of pedestrian deaths by roadway function class and land use from 1997 to 2006.

Table 3: Distribution of Pedestrian Fatalities by Roadway Function Class and Land Use 

Roadway Land Use 

Func Total tion Class Rural Urban Unknown 

Principal Arterial Interstate 3.7% 6.9% 0.0% 10.6%

Principal Arterial Other Expressways or Freeways - 4.4% 0.0% 4.4%

Principal Arterial Other 5.9% 25.7% 0.0% 31.6%

Minor Arterial 4.8% 15.2% 0.0% 20.0%

Collector 7.4% 4.2% 0.0% 11.6%

Local Road or Street 6.2% 14.1% 0.0% 20.3%

Unknown 0.5% 0.4% 0.6% 1.5%

Total 28.5% 70.9% 0.6% 100.0%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Administration Region 

CITY 

Table 4 shows the top five ranked cities based on the past 10 years of pedestrian fatalities. The city 

ranking is based on the proportion of the number of pedestrian fatalities in the city to the number of 

pedestrian fatalities nationally. Not surprisingly, the top three most populated cities in the United States 

had the highest number of pedestrian fatalities. However, it is a surprise that the city of Phoenix is fourth 

for pedestrian fatalities even though average population is 32 percent less than the city of Houston, in fifth 

place, and almost the same as the city of Philadelphia, in seventh place, over the past 10 years.

Table 4: Top Five Cities With the Highest Pedestrian Fatalities 

City Name Rank* % Number of Fatalities 

New York, NY 1 3.5 1,743 

Los Angeles, CA 2 2.0 986 

Chicago, IL 3 1.4 687 

Phoenix, AZ 4 1.1 540 

Houston, TX 5 1.0 514 

Source: FARS 1997-2005 (Final), 2006 (ARF) *Rank based on fatality percentage 

Table A-7 in Appendix A shows all cities that have 10 pedestrian deaths or more by the city name and 

calendar year. 

STATE 

Table 5: Top Three States With the Highest or Lowest Pedestrian Fatalities 

State Name Rank* % Number of Fatalities 

The highest 

California 1 14.4 7,056 

Florida 2 10.4 5,125 

Texas 3 8.7 4,269 

The lowest 

North Dakota 51 0.1 48 

Vermont 50 0.1 60 

Wyoming 49 0.1 71 

Source: FARS 1997-2005 (Final), 2006 (ARF) * Rank based on fatality percentage 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 17

Table 5 shows the pedestrian crash deaths for the top three States and the bottom three States based on 

the number of pedestrian crash deaths. The State ranking is based on the proportion of the number of 

pedestrian fatalities in the State to the number of pedestrian fatalities nationally. The top three States are 

California, Florida, and Texas in pedestrian death ranking. The bottom three states are composed of 

North Dakota, Vermont, and Wyoming. The pedestrian fatalities for the other States are shown in Table 

A-6 in Appendix A.

NHTSA Operation Region 

Analyzing the number of pedestrian crash deaths among the 10 NHTSA operation regions, the southeast 

region (region 4) has the highest number of pedestrian crash deaths. It accounts for about 19 percent of 

pedestrian crash deaths followed by the western region (region 9). Figure 2-2 shows the percentages of 

pedestrian fatalities among the 10 NHTSA operation regions. A U.S. map (Figure C-1) and a table (Table 

C-1) to illustrate the assembly of these 10 regions by State can be found in Appendix C. 

Figure 2-2: Distribution of Pedestrian Fatalities by NHTSA Operation Regions 

18.9 % 17.9

14.2 13.5 12.3

9.6

3.2 3.8 3.5 3.1

New Eastern #2 M id Atlantic Southeast Great Lakes South Central #7 Rocky Western #9 Pacific

England #1 #3 #4 #5 Central #6 M ountain Northwest

Region Name/No. #8 #10

Source: FARS 1997-2005 (Final), 2006 (ARF) and NHTSA 

Death Density 

AVERAGE DEATHS PER CAPITA 

In the same 10-year period, the pedestrian crash fatality rate was 1.73 per 100,000 population 

nationwide. The total crash fatalities per 100,000 population were 14.9 and the pedestrian crash rate per 

100,000 population was 27.8. These differences are illustrated in Figure 2-3. As a comparison, there were 

2,215 motor vehicle crashes per 100,000 population. 

Figure 2-3: Average Pedestrian Fatality, Total Fatality, and Pedestrian Crash per Capita 

27.8 14.9

1.73

Pedestrian Fatalities per Total Crash Fatalities per Pedestrian Crash per 100K

100K Population 100K Population Population

Source: Census Bureau, FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 

Figure 2-4 shows the U.S. map and pedestrian fatality rates for each State over the past decade. The 

highest pedestrian fatality rate among the 50 States and the District of Columbia was for New Mexico 

(3.23) followed by Florida (3.14), Arizona (2.77), and the District of Columbia (2.71). The lowest 

pedestrian death rate was for New Hampshire (0.75) and North Dakota (0.75). The State population by 

year between 1997 and 2006 can be found in Table B-13 in Appendix B. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 18

Figure 2-4: Average Pedestrian Fatality Rate per 100,000 Population by State 

VT

1.0 MA

1.2

CT 1.2

NH

0.8

NJ 1.8

WA

1.2

NY

1.8

IN

1.1

OH

0.9

MD 1.9

MN

0.9

VA

1.2

RI 1.0 MI

1.6

UT

1.4

CA

2.0

IL

1.4

ME

ND 1.0

0.8

IA

0.8

WI

1.0

HI

2.2

CO

1.5

OR

1.5

OK

1.5

GA

1.9

PA

1.4

DE 2.1

2.7

NC

2.0

KS

0.9

TX

2.0

AL

1.7

FL

3.1

TN 1.5

WY

1.4

MO

1.5

NV

2.7

NM

3.2

AK

1.5

WV

1.4 KY

1.4

SC

2.5

LA

2.4

AR

1.5

ID

0.9

AZ

2.8

MS

2.0

SD

1.3

MT

1.2

DC

NE

0.8

Source: Census Bureau and FARS, 1997-2005 (Final), 2006 (ARF) 

AVERAGE WALKING MILES PER DEATH 

According to the 2001 National Household Travel Survey (NHTS) conducted by the U.S. Department of 

Transportation, people in the United States traveled approximate 4,012 billion miles3

 on a daily basis. 

NHTS defined a daily trip as a person going from one address to another in any day regardless of mode 

or distance traveled. The survey results show walking trips accounted for 8.6 percent of the total travel. 

That fraction makes the miles traveled by walking nearly 345 billion in 2001. The data are results from 

telephone interviews conducted with 60,000 individuals in 26,000 sampled households nationwide. Since 

NHTS is a sample-based survey, the results from the survey have sampling errors and hence care should 

be taken while interpreting the data. 

During 2001 there were 84,623 pedestrian crashes and 4,901 pedestrians killed in those crashes. 

Therefore, a pedestrian crash occurred every 4 million walking miles and a pedestrian crash death 

happened every 70 million walking miles. 

In 2001, motor vehicles in this country traveled 2,797 billion miles.4

 There were 36,440 crash fatalities 

among vehicle occupants, including motor vehicle drivers, motorcycle riders, and passengers in 2001. 

This means that one occupant crash fatality occurs on the roadway every 77 million vehicle miles 

traveled (VMT). 

The comparison is shown in Figure 2-5. The average number of walking miles per pedestrian death is 

8 percent lower than the average number of miles traveled per traffic crash death of a vehicle occupant. 

 

3 See reference No. 3 in Appendix D.

4 See reference No. 9 in Appendix D.
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 19

Figure 2-5: Miles per Pedestrian Fatality, Vehicle Occupant Fatality, and Pedestrian Crash 

77 Unit: 1 million

70

4

Walking Miles per Travel Miles per Walking Miles per

Pedestrian Fatality Occupant Fatality Pedestrian Crash 

Source: NHTS 2001, FARS 2001 (Final), and GES, 2001 

AVERAGE PER MILE TRAVELED 

In this subsection, the average deaths or crashes per miles traveled in 2001 are used as an indicator. 

The pedestrian death rate per walking miles traveled (WMT) per year is estimated by the number of 

annual pedestrian deaths divided by total annual WMT. The pedestrian crashes per WMT per year equal 

the number of annual police-reported pedestrian crashes divided by annual WMT. 

Moreover, the motor vehicle occupant fatality rate per vehicle miles traveled (VMT) per year equals 

the annual vehicle occupant deaths divided by annual VMT. The motor vehicle crash rate per VMT per 

year equals to annual police-reported motor vehicle crashes, excluding pedestrian crashes, divided by 

annual VMT. 

During 2001, the pedestrian death rate was 1.42 per 100 million WMT, with 1.30 motor vehicle occupant 

fatalities per 100 million VMT, 24.5 police-reported pedestrian crashes per 100 million WMT, and 223 

motor vehicle crashes per 100 million VMT. In other words, the pedestrian death rate per WMT is slightly 

higher compared to motor vehicle occupant deaths per VMT. The motor vehicle crash per VMT is nine 

times higher than pedestrian crash per WMT. 

The fatality comparison is shown in Figure 2-6. 

Figure 2-6: Pedestrian Fatality Rate and Vehicle Occupant Fatality Rate per Mile Traveled

1.42

1.3

Ped Fatalities per 100 Million WMT Occupant Fatalities per 100 Million VMT

Source: NHTS 2001, FARS 2001 (Final), and GES, 2001 

The comparison of crashes per mile traveled is shown in the figure below. 

Figure 2-7: Pedestrian Crashes and Motor Vehicle Crashes per Mile Traveled 

223

24.5

Ped Crashes per 100 Million WMT Vehicle Crashes per 100 Million VMT

Source: NHTS 2001, FARS 2001 (Final), and GES, 2001 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 20

CRASH TIME 

The time of the crash is grouped in various ways to help explain pedestrian crash deaths. 

Calendar Unit 

DAYS OF YEAR 

Analyzing pedestrian deaths over the past 10 years across the country, January 1 is the day with the 

most pedestrian fatalities, followed by October 31. The peak pedestrian deaths on October 31 could be 

linked to Halloween. 

This finding is consistent with a report5

 published by NHTSA in 2005. In that report, the three deadliest 

days for pedestrians were January 1, October 31, and December 23. 

Although FARS data between 1986 and 2002 are used, the statistics on a status report published by the 

Insurance Institute for Highway Safety6

 also shows January 1 and October 31 as the two days with most 

pedestrian crash deaths. The 10-year pedestrian crash deaths for each day of the year can be found in 

Table A-8 in Appendix A. 

Table 6: Deadliest Days for Pedestrians, Ranked by Specific Time Spans 

Year Period Rank* Day of Year Period Total Average per Day Note 

1986-2002 

1 1-Jan 410 24 

2 31-Oct 401 24 Rank by Insurance Institute for Highway Safety

3 23-Dec 373 22 

1978-2002 

1 1-Jan 539 22 

2 23-Dec 498 20 Rank by previous NHTSA analysis in 2005 

3 31-Oct 489 20 

1997-2006 

1 1-Jan 236 24 

2 31-Oct 212 21 Rank based on this analysis 

3 1-Dec 205 21 

Source: FARS 1997-2005 (Final) 2006 (ARF) & Status Report Vol. 39 No. 6, 2004 *Rank based on total deaths 

DAY OF WEEK 

Figure 3-1 shows that more than one-third of pedestrian crash deaths occurred on Fridays and 

Saturdays, with most pedestrian fatalities occurring on Saturdays (18%) compared to any other day of 

the week. 

Figure 3-1: Distribution of Pedestrian Fatalities by Day of the Week 

13.7 12.5 12.9 13.3 13.4

16.5 17.8

Sun Mon Tue Wed Thu Fri Sat

%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Saturday and Sunday also have a higher probability of pedestrian crash fatality than any other weekday. 

The pedestrian death probabilities, based on all police-reported crashes and their comparisons, are 

illustrated on Figure 3-2, below. 

 

5 See reference No. 41 in Appendix D

6 See reference No. 33 in Appendix D.

 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 21

Figure 3-2: Pedestrian Fatality Probability per Crash by Day of the Week

0.08 0.08 0.06

Sunday Saturday Other weekday

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 

MONTH 

A review of FARS data shows that pedestrian crash deaths are more likely to occur in October, 

November, and December. These three months combined accounted for one-third (32%) of the 

pedestrian crash deaths in any year period. 

Figure 3-3: Distribution of Pedestrian Fatalities by Month 

%

10.2 10 10.2 9.1 8.6 7.5 7.7 8.2 7 7 7 7.4

Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec

Source: FARS 1997-2005 (Final), 2006 (ARF) 

SEASON 

For this report, December, January, and February are considered the months of winter; March, April, and 

May are the months of spring; June, July, and August are the months of summer; and September, 

October, and November are the months of autumn. Nearly one in three pedestrian deaths occurred 

during autumn. Figure 3-4 shows the distribution pattern of pedestrian deaths by season. 

Figure 3-4: Distribution of Pedestrian Fatalities by Season 

Winter (Dec Autumn (Sep

Jan Feb) Oct Nov )

27% 29%

Summer (Jun Spring (Mar

Jul Aug) Apr May )

22% 22%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Clock Time 

TIME OF DAY 

Analysis of the data shows that 25 percent of pedestrian deaths occurred between 6 p.m. and 9 p.m., 

which is the time frame with the highest number of pedestrian deaths among any time group. The next 

highest number of fatalities occurred between 9 p.m. and midnight (21%). In total nearly half (46%) of 

pedestrian fatalities occurred between 6 p.m. and midnight. The lowest number of pedestrian fatalities 

(6%) occurred between 9 a.m. and noon. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 22

Figure 3-5: Distribution of Pedestrian Fatalities by Time of Day 

24.7

% 20.9

11.7 12.4 7.6 8.8 7.2 6.2

M idnight to 3 3 a.m. to 6 a.m. 6 a.m. to 9 a.m. 9 a.m. to Noon Noon to 3 p.m. 3 p.m. to 6 p.m. 6 p.m. to 9 p.m. 9 p.m. to

a.m. M idnight

Source: FARS 1997-2005 (Final), 2006 (ARF) 

The time period from 3 a.m. to 6 a.m. has lower pedestrian deaths (7.6%), yet that time period has the 

highest pedestrian probability of getting killed in a police-reported crash (0.2 per crash). Approximately 

2 pedestrians die in every 10 pedestrian crashes. 

Figure 3-6: Pedestrian Fatality Probability per Crash by Time of Day 

0.20 0.16 0.05 0.04 0.07

0.03 0.03 0.11

M idnight to 3 3 a.m. to 6 a.m. 6 a.m. to 9 a.m. 9 a.m. to Noon Noon to 3 p.m. 3 p.m. to 6 p.m. 6 p.m. to 9 p.m. 9 p.m. to

a.m. M idnight

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006

Death Time Interval 

AVERAGE DEATHS PER DAY 

From 1997 to 2006, the average number of people killed in motor vehicle crashes was 116 per day, as 

shown on Figure 3-7. The rate increases to 118 per day over the 5 years from 2002 to 2006. In the last 2 

years, the average total crash fatalities per day stayed at 118. However, average pedestrian fatalities per 

day have remained the same at 13 for the same 10-year period. 

Figure 3-7: Average Pedestrian Fatalities, Total Crash Fatalities, and Pedestrian Crashes per Day 

116 216

Number 13

Pedestrian Fatalities per Day Total Crash Fatalities per Day Pedestrian Crashes per Day

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006

On average 216 police-reported pedestrian crashes occurred per day compared to 17,225 average motor 

vehicle crashes per day between 1997 and 2006 in the United States. 

AVERAGE MINUTES PER DEATH 

On average, a pedestrian was killed every 107 minutes in a motor vehicle traffic crash from 1997 to 2006. 

However, there is one police-reported pedestrian crash every 7 minutes. The average time between any 

two fatalities in a motor vehicle crash is 12 minutes and between two motor vehicle crashes is 5 seconds. 

These two numbers have not changed since 1997. This comparison is displayed in Figure 3-8.
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 23

Figure 3-8: Average Minutes per Pedestrian Fatality, Total Fatality, and Pedestrian Crash 

107

12 7

Minutes per Pedestrian Minutes per Total Crash Minutes per Pedestrian

Fatality Fatality Crash

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 24

PEDESTRIAN INFORMATION 

Statistics to describe characteristics and actions of deceased pedestrians at the time of the crash are 

reported in this section. 

Pedestrian Characteristics 

SEX 

From 1997 to 2006, a total of 49,128 pedestrians died in motor vehicle crashes. Among them 33,907 

(more than two-thirds) were males, 15,181 were females, and 40 were of unknown sex. Male pedestrian 

fatalities account for more than double the number of female pedestrian fatalities. Although males 

account for 49 percent of the population, males make up 69 percent of pedestrian crash deaths over the 

past decade. 

Figure 4-1: Distribution of Pedestrian Fatalities by Sex 

Female

Male Pedestrian, Pedestrian, 31%

69%

Source: FARS 1997-2005 (Final) 2006 (ARF) 

The probability of a male pedestrian being killed in a police-reported pedestrian crash is 0.07 and a 

female is 0.05 as shown on Figure 4-2. Male pedestrians have a 40 percent higher probability than 

female pedestrians to be killed in a police-reported crash. 

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006 

Figure 4-2: Probability of a Pedestrian Killed per Crash by Sex 

0.07

0.05

Male Female

RACE 

Figure 4-3: Distribution of Pedestrian Fatalities by Race 

59.7 %

15 2.1 2.1 0.9 0.1 0.6

White Black American Indian Asian Pacific Islander Other Indian Other

Source: FARS 1999-2005 (Final) 

Among the pedestrians killed between 1999 and 2005, 60 percent were White, 15 percent were Black, 2 

percent were Asian, 2 percent were American Indian, nearly 2 percent were members of other races, and 

19 percent were of unknown race. As a comparison based on Census Bureau data, the population 

breakdown in the United States is 80 percent White, nearly 13 percent Black, about 4 percent Asian, and 

only one percent American Indian. The 2006 data for race are not used in the analysis since a large 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 25

proportion of the race data are unknown in the annual report file. This unknown proportion is reduced to a 

large extent in the final file with the availability of race data from death certificates. 

AGE GROUP 

Pedestrians over age 64 accounted for more than 21 percent of the pedestrians killed, and children under 

the age of 16 accounted for about 10 percent of the fatalities. The 70+ age group had the highest 

pedestrian fatalities among all individual age groups (17 percent), and the 40-to-44 and 45-to-49 age 

groups had the second highest pedestrian fatalities (9 percent). The percentages by age group of 

pedestrians killed are shown in Figure 4-4. 

% 3

0-4

3

5-9

4

10-15 16-20 21-24 25-29 30-34

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Figure 4-4: Distribution of Pedestrian Fatalities by Age Group 

9 9 7 8 7 6 5 6 6 5

35-39

Age Group

40-44 45-49 50-54 55-59 60-64

4

65-69

17

70+

Comparing the resident population to pedestrian fatalities, people 65 and older account for 13 percent of 

the U.S. population, yet their pedestrian deaths make up 21 percent of all pedestrian deaths from 1997 

through 2006. This contrast between resident population and pedestrian fatalities for some combined age 

groups is shown in Figure 4-5. 

Figure 4-5: Distribution of Pedestrian Fatality and Population by Age Group 

Pop, 21%

Pop, 14%

Ped Killed, 35%

Ped Killed, 21%

Ped Killed, 9% Ped Killed, 12%

Ped Killed, 23% Pop, 29%

Pop, 23%

Pop, 13%

Child (Under 15) Youth (15-24) Young Adult (25-40) Adult (41-64) Senior (Ov er 64)

Source: FARS 1997-2005 (Final), 2006 (ARF) and Census Bureau 

Figure 4-6 hints that pedestrian fatality probability and age have a positive relationship. The pedestrian 

fatality probability increases with the increase in age group of pedestrians. The older the age group, the 

more likely a fatality in a police-reported crash. Among all age groups people 65 and older have the 

highest probability of being in a police-reported crash. 

Figure 4-6: Pedestrian Fatality Probability per Crash by Age Group 

0.02

0.04

0.06

0.09 0.15

Child (Under 15) Youth (15-24) Young Adult (25-40) Adult (41-64) Senior (Ov er 64)

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 26

Figure 4-9: Pedestrian Fatality Probability per Crash by Alcohol Involvement 

 0.22

0.05

BAC .01+ No Alcohol

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 

HISPANIC ORIGIN 

Among total pedestrians killed between 1999 and 2005, Hispanics (for any race) accounted for 18 

percent of the fatalities when Hispanic origin was known. Non-Hispanics accounted for 82 percent. By 

comparison, 14 percent of the U.S. population in the same time period was Hispanic, according to U.S. 

Census Bureau data. The 2006 data for ethnicity are not used in the analysis since a large proportion of 

the ethnicity data are unknown in the annual report file. This unknown proportion is reduced to a large 

extent in the final file with the availability of ethnicity data from the death certificates. The data of Hispanic 

or Latino population can be found in Table B-12 in Appendix B. 

Figure 4-7: Distribution of Pedestrian Fatalities by Hispanic Origin

NonHispanic,

82%

Hispanic,

18%

Source: FARS 1999-2005 (Final) 

Pedestrian Actions 

ALCOHOL INVOLVEMENT 

Figure 4-8 shows the proportion of pedestrian fatality distribution by pedestrian blood alcohol 

concentration. BAC is used to represent the level of alcohol involvement. More than one-third of the 

pedestrians killed in crashes had a BAC of .08 grams per deciliter or more with a smaller proportion (4%) 

with BAC of .01 to 07 g/dL. This data indicates that nearly 4 out of 10 pedestrians killed had some level of 

alcohol involvement at the time of the crash. 

Figure 4-8: Distribution of Pedestrian Fatalities by BAC Level 

No Alcohol,

63%

BAC .08+, 33%

BAC .01-.07,

4%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

The probability of a pedestrian being killed in a police-reported crash has a positive association with 

pedestrian alcohol involvement. As Figure 4-9 shows, when alcohol is involved the probability of the 

pedestrian being killed in a police-reported motor vehicle crash involving a pedestrian is four times higher 

than when no alcohol is involved. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 27

BEHAVIOR 

Figure 4-10 shows the percentage distribution by the types of pedestrian behavior or actions in the crash. 

About 27 percent of the pedestrian deaths were related to improper crossing of the roadway or 

intersection. Over one-fourth of the deaths were related to walking, playing, working, etc. About 14 

percent of the pedestrian deaths were related to failure to yield right-of-way as a condition in the crash. 

Also, about 12 percent of the deaths were related to darting out or running into the road. 

Figure 4-10: Distribution of Pedestrian Action in Fatal Crashes 

27.3 25.4 %

13.9 12.1 9.8 2.6 1.5 2.1 5.3

Improper Walking Fail to Yield Darting or Not Visible Inattentive Fail to Obey Other Unknown

Crossing against Right-of-Way Running into Traffic

Traffic Road Control

Source: FARS 1997-2005 (Final), 2006 (ARF) 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 28

DRIVER INFORMATION 

In order to understand the circumstances at the time of the crash, the characteristics and actions of 

vehicle drivers are equally relevant in pedestrian crashes. Numerous statistics are used to analyze 

drivers’ characteristics and actions at the time of the crash. 

Driver Characteristics 

SEX 

Almost two-thirds of the time, a male driver was involved when a pedestrian was killed in a motor vehicle 

crash. Male drivers were more than twice as likely to be involved as female drivers. The number of drivers 

with unknown sex is 10 percent, most of which are associated with hit-and-run crashes in which the driver 

left the scene of the crash. 

Figure 5-1: Distribution of Vehicle Drivers by Sex in Fatal Pedestrian Crashes 

Unknown,

10% Male Driver, Female 65%

Driver, 25%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

AGE GROUP 

Among all age groups, 16- to 25-year-old drivers were the most involved. The 21-to-25 age group has the 

greatest involvement at 12 percent, while the 16-to-20 age group has the second highest involvement at 

11 percent. 

Figure 5-2: Distribution of Vehicle Drivers by Age Group in Fatal Pedestrian Crashes 

12.1

11.1 10.2 9.7

% 9.2 8.9

7.5

5.9

4.5

1.3

0.2 3 2.1 2 0.8 0.4

11-15 16-20 21-25 26-30 31-35 36-40 41-45 46-50 51-55 56-60 61-65 66-70 71-75 76-80 81-85 Ov er

Age Group 85

Source: FARS 1997-2005 (Final), 2006 (ARF) 

DRIVER SURVIVAL 

Figure 5-3 shows the percentage distribution of driver survival in crashes in which pedestrians were killed. 

As seen from the data, only 0.3 percent of the drivers were reported had been killed when involved in a 

crash in which there was a pedestrian fatality during the last 10 years. In other words, the most serious 

injuries happen to the pedestrians, not the vehicle drivers. Seven percent of drivers’ survival status 

is unknown perhaps because of the hit-and-run crashes where the driver might have left the scene of 

the crash. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 29

Figure 5-3: Distribution of Vehicle Drivers by Driver Survival Status 

Survived,

92.7%

Unknown,

7.0% Killed, 0.3%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Driver Actions 

ALCOHOL INVOLVEMENT 

Figure 5-4 shows the percentage distribution of drivers involved by their BAC level in fatal pedestrian 

crashes. Overall, more than 80 percent of the drivers did not have alcohol when involved in a crash. Less 

than 20 percent of vehicle drivers had alcohol involvement when a pedestrian was killed. The proportion 

of alcohol involvement for drivers in fatal pedestrian crashes is less half when compared to the alcohol 

involvement of pedestrians in the crashes. 

Figure 5-4: Distribution of Vehicle Drivers Involved by BAC Level 

No Alcohol, 

83%

BAC .01-.07,

BAC .08+, 13% 4%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

SPEEDING 

Less than 10 percent of the vehicle drivers involved when pedestrians were killed had speeding as a 

contributing factor documented in the crash. Figure 5-5 shows the percentage distribution by driver 

speeding status when pedestrians were killed in crashes over the past 10 years. 

Figure 5-5: Distribution of Vehicle Drivers by Speeding Status 

Unknown, Speeding, 

1% 8% Not

Speeding,

91%

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Figure 5-6 shows that 1 pedestrian died per 100 police-reported crashes when the driver was recorded 

to be speeding compared to 55 per 100 police-reported crashes when the driver was not speeding. 

The probability of a pedestrian killed when drivers were not speeding is much higher than when the
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 30

driver was speeding, which is attributable to a large number of fatalities divided by small number of 

crashes under no speeding condition. 

Figure 5-6: Pedestrian Fatality Probability per Crash by Driver Speeding Status 

0.55

0.01

Speeding Not Speeding

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES, 1997-2006 

DRIVER ACTIONS AT THE TIME OF THE CRASH 

Figure 5-7 shows the number of drivers involved categorized by police-reported driver-related factors. The 

data shows that drivers in the crashes did have some form of driver-related factors mentioned in the 

police accident report. Factors relating to the drivers were: being inattentive (7%), failure to keep in proper 

lane (5%), failure to yield right-of-way (9%), driving too fast for conditions (10%), operating vehicle in 

reckless manner (4%), and hit-and-run (20%). This data indicate the risks pedestrians encounter on 

roadways due to driver behavior. 

Figure 5-7: Driver Distribution by Behavior in Fatal Pedestrian Crashes 

%

26.7

19.8

9.9 9.3 9 7.3 4.6 4.1 3.6 2.6 3.1

Hit-and-Run Driving over Failed to Yield Drugs Inattentive Fail to keep Other Non- Operating Non-Traffic Others Unknown

Vehicle Posted Limit Right-of-Way in Proper Moving Vehicle in Violation

Driver Lane Traffic Reckless Charged

Violation Manner

Source: FARS 1997-2005 (Final), 2006 (ARF) 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 31

OTHER CRASH FACTORS 

Five additional crash factors are included for more pedestrian crash death information. The statistics are 

discussed as below. 

ATMOSPHERIC CONDITION 

Weather is an important environmental factor in motor vehicle crashes; however 89 percent of pedestrian 

deaths occurred when there were no adverse weather conditions. Eight percent of pedestrians died in 

crashes that occurred in the rain. 

Figure 6-1: Distribution of Pedestrian Fatalities by Atmospheric Condition 

% 88.6

8.1

0.2 0.9 1.0 0.5 0.7

No Adv erse Rain Sleet Snow Fog Other Unknown

Condition

Atmospheric Condition

Source: FARS 1997-2005 (Final), 2006 (ARF) 

When the data were further analyzed based on the probability of a pedestrian fatality per police-reported 

crash, more pedestrian deaths per pedestrian crashes occurred when the atmospheric condition was 

noted as sleet or fog – 19 pedestrian fatalities per 100 police-reported pedestrian crashes. Snow was the 

condition with the lowest pedestrian death rate per pedestrian crash. 

Figure 6-2: Pedestrian Fatality Probability per Pedestrian Crash by Atmospheric Condition 

0.19 0.18 0.16

0.06 0.05 0.04

No Adv erse Rain Sleet Snow Fog Other

Condition Atmospheric Condition

Data Source: FARS and GES, 1997-2006 

ALCOHOL INVOLVEMENT (Pedestrian or Driver) 

Alcohol involvement – either for the driver or for the pedestrian – was reported in 46 percent of the traffic 

crashes that resulted in pedestrian fatalities. Of the pedestrians involved, 33 percent were alcoholimpaired with a BAC of .08 g/dL or greater. The alcohol-impaired rate for the drivers involved was about 

13 percent, less than one-half of the rate for the pedestrians. In almost 6 percent of the crashes, both the 

driver and the pedestrian were alcohol-impaired.

These numbers indicate higher alcohol involvement among pedestrians than among drivers during fatal 

pedestrian crashes. Table 7 shows joint distribution by pedestrian BAC and driver BAC from 1997 

to 2006. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 32

Table 7: Distribution of Pedestrian BAC and Driver BAC in Fatal Pedestrian Crashes

Alcohol Involvement Driver BAC 

No Alcohol .01-.07 .08+ Total

Pedestrian BAC 

No Alcohol 54.2% 1.9% 6.5% 62.6%

.01-.07 3.5% 0.0% 0.9% 4.4%

.08+ 26.0% 1.5% 5.5% 33.0%

Total 83.7% 3.4% 12.9% 100.0%

Source: FARS 1997-2005 (Final) 2006 (ARF) 

LIGHT CONDITION 

Roadway lighting is another important environmental factor. More than two-thirds of pedestrian fatalities 

occurred when the light condition was either dark or dark but lighted. Similarities between the time of day 

and the light condition can be found when compared with Figure 3-5. About one-third of pedestrian crash 

deaths occurred during daylight. 

Figure 6-3: Distribution of Pedestrian Fatalities by Light Condition

32.3 33

30.3

%

1.7 2.1

Daylight Dark Dark but Lighted Dawn Dusk

Light Condition

Source: FARS 1997-2005 (Final), 2006 (ARF) 

Further data analysis indicates that the worst light condition, dark, has the highest pedestrian fatality rate 

per police-reported pedestrian crash; and the best light condition, daylight, has the lowest pedestrian 

fatality rate per police-reported pedestrian crash. 

Figure 6-4: Pedestrian Fatality Probability per Crash by Light Condition 

0.22 0.10 0.08

0.03 0.04

Daylight Dark Dark but Lighted Dawn Dusk

Light Condition

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006

POSTED SPEED LIMIT 

The posted speed limit is also an important factor in pedestrian crashes. Figure 6-5 shows the distribution 

of pedestrian crashes by posted speed limit. The largest proportion (32%) of pedestrian fatalities occurred 

on roads with posted speed limits of 50 miles per hour or higher compared to all other posted speed 

limits, followed by roads with posted speed limits of 30 to 39 miles per hour (29%). 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 33

Figure 6-5: Distribution of Pedestrian Fatalities by Posted Speed Limit 

% 31.8 29.1

24.5

0.3 9.6

No Limit Post Under 30 30-39 40-49 Ov er 49

Posted Speed Limit

Source: FARS 1997-2005 (Final), 2006 (ARF) 

As indicated in Figure 6-6, further analysis reveals that roadways with posted speed limits of 50 miles per 

hour or higher have the highest rate of pedestrian fatalities per police-reported pedestrian crash, with a 

probability of 32 pedestrian fatalities per 100 crashes. 

Figure 6-6: Pedestrian Fatality Probability per Crash by Posted Speed Limit 

0.32 0.15

0.06 0.02 0.02

No Limit Post Under 30 30-39 40-49 Ov er 49

Source: FARS 1997-2005 (Final), 2006 (ARF) and GES 1997-2006

HIT-AND-RUN 

Figure 6-7 shows the proportion of pedestrian deaths by hit-and-run in the 10-year survey period. A hitand-run crash is defined as a crash where the driver of a contact vehicle in the crash does not stop to 

render aid (this includes drivers who flee the scene on foot). While the majority of pedestrian crash deaths 

occurred in crashes where no hit-and-run was involved, about one in five (18%) of all pedestrian deaths 

were the result of hit-and-run crashes. 

Figure 6-7: Distribution of Pedestrian Fatalities by Hit-and-Run 

No Hit-andRun, 82% Hit-and-Run,

18%

Source: FARS 1997-2005 (Final), 2006 (ARF) 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 34

FINDINGS 

Walking, running, or jogging is a primary means of human locomotion. In many circumstances, people 

need to move their bodies from one place to another on foot. Despite advances in modern transportation, 

travel by foot is still a common and necessary mode of transport. Pedestrian safety is an essential 

concern in the planning and control of the transportation system. 

Analyses, calculations, and comparisons for pedestrian crash fatalities, which were done in previous 

sections, generated many important findings. These findings could be used in the design of safety 

systems and countermeasure programs to decrease pedestrian crash fatalities. The findings are provided 

in this section. 

Trend 

•

•

•

•

•

•

Pedestrian crash fatalities make up a small component of total crash fatalities. Its proportion has 

declined from 13 percent to 11 percent over 10 years. 

Both the number of pedestrian crash fatalities and the total number of pedestrian crashes 

are dropping, yet the decrease in pedestrian crash fatalities is slower than the decrease in 

pedestrian crashes. 

Although pedestrian fatalities are declining in the long term, the rate of decline is slow; only 

1 percent per year on average. 

The probability of fatality in pedestrian crashes (number of pedestrian deaths per pedestrian 

crash) is going up, while the overall pedestrian crash probability (number of pedestrian crashes 

per motor vehicle crash) is going down. This is one of the more significant findings in this report. 

Improving vehicle design and other factors in pedestrian crashes may help alleviate this problem. 

The number of pedestrian crash fatalities per vehicle miles traveled is decreasing. In other words, 

the increase in VMT has outpaced the increase in pedestrian fatalities. 

Pedestrians are most often killed by a single vehicle. More than 90 percent of pedestrians are 

killed in single-vehicle crashes, and less than 10 percent of pedestrians are killed in multiplevehicle crashes. This ratio has not changed over the past decade. 

Location 

•

•

•

•

Most pedestrians were killed at nonintersections or on urban roadways. A research report 

published in 19817

 had the same finding. The result from the analysis reconfirmed that urban 

roadways and nonintersection areas are important to pedestrian safety. 

More than two-thirds of pedestrian crash fatalities took place in cities. Only 13 percent of the 

cities in this country accounted for more than two-thirds of total pedestrian deaths between 1997 

and 2006. U.S. pedestrian deaths were distributed evenly among cities. In a 10-year period, cities 

with less than 10 pedestrian deaths made up 91 percent of total cities with pedestrian deaths. 

Less than 1 percent of U.S. cities had more than 99 pedestrian deaths. 

Consolidating the number of pedestrian fatalities into NHTSA operation regions may reveal a 

pattern of pedestrian fatality distribution from a different point of view. In the United States, 

NHTSA Regions 4 (southeast) and 9 (western) had more pedestrian deaths than other regions. 

In terms of number of pedestrians killed, the three most deadly States were California, Florida, 

and Texas; the five deadliest cities in the Nation were New York, Los Angeles, Chicago, Phoenix, 

and Houston. These rankings are based on pedestrian death percentages. States and cities with 

the highest number of pedestrian deaths may need to focus messages and outreach efforts on 

pedestrian safety. 

 

7 See reference No. 1 in Appendix D.
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 35

•

•

•

•

•

Measuring death density further illustrates the pedestrian safety problem. On average over the 

past decade, 1.73 pedestrians died in vehicle crashes per 100,000 population nationwide. By 

comparison, 14.9 people died in all crashes per 100,000 population. 

Among the 50 States and the District of Columbia, New Mexico had the highest pedestrian death 

rate per capita followed by Florida. New Hampshire had the lowest pedestrian death rate 

per capita. 

The average number of miles walked per pedestrian death is a valid indicator in gauging 

pedestrian safety. In the United States, 1 pedestrian crash fatality occurred for every 70 million 

miles walked. This number is much greater than 4 million which was the number of miles walked 

per pedestrian crash, but less than 77 million which was the number of vehicle miles traveled per 

motor vehicle occupant fatality. Based solely on miles of travel in a crash, pedestrian fatalities 

occurred more frequently than occupants crash fatalities. 

For every 100 million walking miles traveled (WMT), the pedestrian fatality rate was 1.42 and the 

pedestrian crash rate was 24.5. By comparison, for every 100 million vehicle miles traveled 

(VMT), the motor vehicle occupant fatality rate was 1.3 and the motor vehicle crash rate was 223. 

The pedestrian fatality rate per capita was significantly lower than total crash fatalities per capita, 

yet the pedestrian fatality rate per WMT was slightly higher than motor vehicle occupant fatality 

rate per VMT. 

Time 

•

•

•

•

•

•

For pedestrians, the deadliest day of the year is January 1st followed by October 31st. The most 

deadly day of the week is Saturday followed by Friday. The months with the highest number of 

pedestrian fatalities are October, November, and December. These findings are consistent with 

previous reports.8

 

Saturday and Sunday also have a higher probability of fatality in a crash than any other day of 

the week. 

Autumn is the deadliest season for pedestrians, with two of the highest fatality months being 

October and November. 

The highest percentage of pedestrian fatalities occurs from 6 p.m. to 9 p.m., followed by 9 p.m. to 

midnight. The percentage of pedestrian fatalities between 3 a.m. and 6 a.m. is low, but the crash 

fatality probability is the highest during that time period. 

The number of deaths during a time period is a base for assessing risk control. Between 1997 

and 2006, an average of 13 pedestrians died per day in vehicle crashes. By comparison, there 

were approximately 216 total pedestrian crashes per day and 116 deaths per day in all motor 

vehicle crashes. 

In the United States, a pedestrian was killed in a vehicle crash every 107 minutes. However, 

pedestrian crashes and vehicle crash fatalities occurred every 7 minutes and 12 

minutes, respectively. 

Pedestrian Factors 

•

•

•

More than two-thirds of pedestrians killed are male, yet males make up less than half of the 

total population. 

Sixty percent of pedestrians killed are White, while 80 percent of the total U.S. population 

is White. 

People 65 and older are over-represented in pedestrian fatalities. They were 21 percent of all 

pedestrian fatalities yet are only 13 percent of population. 

 

8 See reference No. 7, 33, and 41 in Appendix D.
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 36

•

•

•

•

•

Almost one-fifth of pedestrian fatalities are of Hispanic origin. 

More than a third of pedestrians killed had alcohol involvement. 

The majority of pedestrians killed performed at least one unsafe action when crashes occurred. 

Pedestrian actions at the time of the crash indicate the risks pedestrians are taking while crossing 

roadways. More attention toward pedestrian safety education may be required. 

Regarding pedestrian fatality probability in a crash, males are much more likely than females to 

be killed. As pedestrians, people 65 and older have a much higher fatality probability than 

children (under age 15), youth (15 to 24), and young adults (25 to 40). Safety education, 

engineering countermeasures, and law enforcement efforts should be undertaken to reduce the 

pedestrian safety problem among males and senior citizens. 

As expected, the higher the pedestrian BAC, the higher the fatality probability. 

Vehicle Driver 

•

•

•

•

Analysis of the types of drivers involved in fatal pedestrian crashes shows that male drivers were 

more likely than female drivers to be involved in pedestrian crashes. Regarding driver age, 21- to 

25-year-olds were more likely than other age groups to be involved. 

Almost all drivers survived the pedestrian crashes, most vehicle drivers did not have alcohol, and 

the majority of drivers were not speeding. 

Most drivers committed some type of unsafe action on at least one occasion. Driver actions at the 

time of the crash indicate the risks pedestrians encounter on roadways. This indicates that more 

attention may need to be paid to law enforcement and driver training. 

More pedestrians were killed in crashes where speeding was not a factor than in crashes where it 

was. This finding means that a pedestrian is still likely to die in a crash even if the driver is 

obeying the posted speed limit. 

Other Factors 

•

•

•

•

•

•

Most pedestrian crash fatalities occurred when the weather was good, the road light condition 

was poor, alcohol was not involved, and hit-and-run was not involved. That is, every pedestrian 

crash fatality was more likely to meet each one of these criteria individually, and we do not wish 

to give the impression that the majority of all pedestrian crash fatalities occurred under all of 

those conditions at once. More attention and effort on road lighting and pedestrian visibility may 

be required. 

Based on weather conditions at the time of a crash, the highest probability of pedestrian fatality 

existed under a sleet condition. 

Based on light conditions, pedestrian fatality probability was highest in the dark. 

Roadways with posted speed limits over 49 miles per hour had the highest pedestrian fatality rate 

per pedestrian crash. 

Forty-six percent of pedestrian fatalities were involved some alcohol, either by the driver or by 

the pedestrian. 

One in five pedestrians (18%) was killed in hit-and-run motor vehicle crashes. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 37

Table A-1: Pedestrian crash deaths by crash type and year 

Crash Type 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Single-Vehicle 4,876 4,801 4,516 4,340 4,480 4,445 4,310 4,237 4,445 4,327

Multiple-Vehicle 445 427 423 423 421 406 464 438 447 457

Total 5,321 5,228 4,939 4,763 4,901 4,851 4,774 4,675 4,892 4,784

Note: Data in this table has been used to create all figures in Pedestrian Fatality Trend. 

Table A-2: Pedestrian crash deaths by pedestrian location and year

Pedestrian Location 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Unknown Location 36 20 23 21 36 31 28 39 33 72

Intersection Crosswalk 360 369 385 386 397 396 424 392 388 404

Intersection Roadway, Crosswalk Available 211 224 176 192 207 256 219 226 296 196

Intersection Roadway, Crosswalk Not Available 160 194 153 152 131 124 116 125 138 139

Intersection Roadway, Crosswalk Unknown 332 291 249 274 234 219 178 141 122 207

Not on Roadway 42 43 38 36 30 40 39 30 26 48

Unknown-Intersection 20 24 13 17 18 27 36 43 24 14

Non-intersection Crosswalk 36 42 36 45 42 35 46 44 63 47

Non-intersection Roadway, Crosswalk Available 514 573 525 565 648 728 885 1,088 1,373 1,255

Non-intersection Roadway, Crosswalk Not Available 2,252 2,239 2,125 1,935 2,036 1,856 1,703 1,677 1,636 1,629

Non-intersection Roadway, Crosswalk Unknown 827 765 722 660 646 673 639 439 312 333

In Parking Lane 5 11 9 10 7 7 12 13 17 3

On Road Shoulder 320 221 285 216 237 233 227 219 252 246

Bike Path 0 2 1 0 0 2 0 0 0 2

Outside Traffic Way 36 44 44 51 42 40 50 41 58 58

Other 141 147 136 180 171 169 151 141 131 116

Unknown Non-intersection 29 19 19 23 19 15 21 17 23 15

Note: Data in this table has been used to create Table 2 in Crash Location. 

Table A-3: Pedestrian crash deaths by roadway function class and year 

Roadway Function Class 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Rural Land 1,611 1,611 1,520 1,376 1,453 1,418 1,283 1,274 1,245 1,220

Urban Land 3,699 3,584 3,399 3,298 3,436 3,421 3,479 3,393 3,618 3,435

Unknown 11 33 20 89 12 12 12 8 29 129

Rural Principal Arterial Interstate 209 180 161 183 195 208 176 171 170 150

Principal Arterial Other 334 359 320 255 295 290 256 277 258 266

Rural Minor Arterial 279 240 242 196 240 231 238 284 201 214

Major Collector 311 329 304 279 313 280 270 238 248 247

Minor Collector 84 103 93 82 81 101 78 68 74 64

Rural Local Road or Street 355 373 362 328 306 299 258 220 279 264

Rural Unknown 39 27 38 53 23 9 7 16 15 15

Urban Principal Arterial Interstate 362 330 326 327 342 335 275 354 397 324

Principal Arterial Other Expressways or Freeways 228 185 199 199 226 190 228 218 233 238

Other Principal Arterial 1,359 1,368 1,237 1,238 1,272 1,192 1,251 1,172 1,254 1,268

Urban Minor Arterial 774 785 716 658 710 739 778 722 804 760

Collector 222 204 178 179 162 179 214 242 239 231

Urban Local Road or Street 739 697 720 658 705 778 712 639 677 606

Urban Unknown 15 15 23 39 19 8 21 46 14 8

Unknown Roadway Type 11 33 20 89 12 12 12 8 29 129

Note: Data in this table has been used to create Table 3 in Crash Location. 

APPENDIX A 

FARS Data 1997-2005 (Final), 2006 (ARF) 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 38

Table A-4: Pedestrian crash deaths by urban area and year 

Urban Area 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Not City 1,797 1,733 1,631 1,543 1,633 1,626 1,579 1,538 1,606 1,504

City 3,520 3,491 3,305 3,219 3,264 3,217 3,189 3,128 3,279 3,269

Unknown 4 4 3 1 4 8 6 9 7 11

Note: Data in this table has been used to create Figure 2-1 in Crash Location. 

Table A-5: Pedestrian crash deaths by NHTSA operation region and year 

Operation Region 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

New England Region #1 181 175 159 165 148 142 173 147 141 128

Eastern Region #2 702 683 715 650 676 667 641 619 634 643

Mid Atlantic Region #3 495 530 462 460 460 475 473 442 458 465

Southeast Region #4 1006 970 922 872 897 879 894 896 962 988

Great Lakes Region #5 680 681 643 597 590 606 623 551 548 536

South Central Region #6 770 737 705 672 729 690 622 700 723 646

Central Region #7 220 230 170 190 179 174 174 167 181 164

Rocky Mountain Region #8 174 177 197 186 162 160 173 172 161 157

Western Region #9 926 875 829 829 901 896 848 844 935 915

Pacific Northwest Region #10 167 170 137 142 159 162 153 137 149 142

Note: Data in this table has been used to create Figure 2-2 in Crash Location. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 39

Table A-6: Pedestrian crash deaths by State and year 

State Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Alabama 85 79 86 62 68 61 62 81 73 78

Alaska 10 7 8 10 7 16 9 10 7 9

Arizona 148 155 143 130 160 154 121 130 158 167

Arkansas 49 47 41 38 41 33 41 32 37 31

California 757 697 665 670 711 709 704 684 742 717

Colorado 56 73 63 80 61 69 56 70 48 59

Connecticut 53 45 51 48 33 50 35 27 34 36

Delaware 14 15 12 22 17 16 19 16 11 27

Dist of Columbia 24 15 16 18 11 7 18 9 16 17

Florida 528 531 488 492 489 487 500 493 571 546

Georgia 183 167 159 137 156 161 156 153 150 148

Hawaii 21 23 21 29 30 33 23 30 35 31

Idaho 19 7 14 6 12 15 13 17 9 8

Illinois 198 187 175 187 185 191 189 156 165 138

Indiana 72 71 68 54 56 53 62 73 63 73

Iowa 27 25 17 25 19 19 18 24 24 25

Kansas 27 35 33 19 24 23 25 21 24 23

Kentucky 64 61 52 53 53 55 61 48 54 52

Louisiana 138 113 107 100 99 103 93 103 113 96

Maine 19 13 11 15 12 14 13 10 9 10

Maryland 107 105 114 91 101 105 114 97 102 94

Massachusetts 79 84 74 82 79 59 86 81 76 61

Michigan 165 171 173 170 162 175 166 137 137 136

Minnesota 56 55 51 38 43 50 53 37 44 38

Mississippi 54 59 60 64 59 55 40 44 72 56

Missouri 100 102 65 88 83 87 78 81 88 76

Montana 9 13 7 11 9 14 10 7 13 12

Nebraska 17 21 14 20 12 12 12 9 8 9

Nevada 59 46 67 43 45 52 65 60 63 52

New Hampshire 11 11 5 7 9 6 19 15 5 6

New Jersey 144 154 154 145 132 177 137 152 153 165

New Mexico 66 58 52 48 72 60 51 56 61 69

New York 389 363 378 335 356 337 334 317 322 312

North Carolina 176 197 155 159 149 176 153 161 164 173

North Dakota 5 4 4 5 3 2 7 5 9 4

Ohio 126 134 122 97 99 87 99 94 95 96

Oklahoma 69 46 60 43 49 54 37 50 50 46

Oregon 57 66 48 50 58 48 46 43 48 47

Pennsylvania 169 166 183 170 188 153 170 150 159 166

Rhode Island 7 11 14 6 10 9 13 7 14 15

South Carolina 103 111 113 82 107 98 80 86 98 125

South Dakota 6 7 11 13 15 8 10 9 14 7

Tennessee 107 82 76 99 77 72 96 83 70 91

Texas 443 461 426 417 450 418 401 447 427 379

Utah 39 43 38 33 33 25 28 25 20 29

Vermont 12 11 4 7 5 4 7 7 3 0

Virginia 89 102 84 92 101 88 86 85 88 82

Washington 72 77 60 65 73 69 75 60 72 66

West Virginia 21 35 29 25 28 28 22 26 23 20

Wisconsin 63 63 54 51 45 50 54 54 44 55

Wyoming 9 4 14 12 5 4 7 3 7 6

Note: Data in this table has been used to create Table 4 in Crash Location. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 40

Table A-7: Pedestrian crash deaths by city and year 

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

New York, NY 233 177 183 178 186 163 164 148 154 157

Los Angeles, CA 125 85 96 96 116 87 103 83 96 99

Chicago, IL 86 85 63 73 67 73 72 54 66 48

Phoenix, AZ 59 49 51 54 62 59 53 42 52 59

Houston, TX 48 61 47 51 59 54 53 44 52 45

Detroit, MI 38 49 50 45 37 53 41 37 37 28

Dallas, TX 38 46 43 36 44 38 28 57 46 30

Philadelphia, PA 35 27 34 39 32 24 32 39 30 36

San Diego, CA 28 32 38 36 19 37 30 32 18 22

San Antonio, TX 31 32 25 31 23 24 24 26 37 28

San Francisco, CA 29 33 26 30 20 21 27 19 16 19

Jacksonville, FL 20 28 18 20 21 20 13 28 34 23

Miami, FL 22 21 18 27 14 26 18 17 22 27

Denver, CO 22 17 18 35 23 25 17 20 16 14

Memphis, TN 31 20 19 16 18 20 21 19 18 16

Hempstead, NY 14 20 22 18 19 14 17 19 20 10

San Jose, CA 21 17 15 19 15 22 10 16 14 22

Atlanta, GA 23 26 23 15 18 18 20 16 6 6

Albuquerque, NM 18 12 10 16 23 14 15 13 21 18

Washington, DC 24 15 16 18 11 7 18 9 16 17

Tucson, AZ 11 15 15 15 22 16 7 15 19 14

Fort Worth, TX 14 13 11 15 14 21 12 15 19 14

Tampa, FL 14 16 19 20 11 16 11 14 8 13

Austin, TX 14 13 17 12 16 11 7 13 17 15

Baltimore, MD 16 28 19 1 0 12 15 14 12 16

Las Vegas, NV 13 6 14 9 16 14 15 13 18 11

El Paso, TX 20 17 15 13 12 9 19 8 12 4

Nashville, TN 12 16 8 14 15 8 14 12 10 18

Louisville, KY 7 11 11 18 8 10 15 13 12 17

Kansas City, MO 12 14 9 9 14 19 12 12 9 9

Fresno, CA 13 14 10 6 9 19 17 6 13 10

St Louis, MO 10 11 11 17 12 9 14 12 11 8

Charlotte, NC 10 13 11 15 9 13 9 9 10 15

Oklahoma City, OK 17 11 6 10 17 11 5 16 13 8

New Orleans, LA 20 8 12 12 11 16 7 15 11 0

Sacramento, CA 15 5 13 5 12 14 14 10 14 9

Oakland, CA 10 12 10 7 13 16 10 8 10 14

Newark, NJ 12 15 15 13 9 10 9 11 6 10

Fort Lauderdale, FL 17 11 16 8 8 6 7 12 9 15

Columbus, OH 13 8 14 8 14 8 13 8 13 9

Portland, OR 9 13 15 10 10 10 15 9 8 8

Milwaukee, WI 13 11 5 10 8 11 7 16 12 14

Honolulu, HI 12 5 5 12 10 13 7 12 15 12

Boston, MA 6 12 8 17 13 11 14 7 7 7

Brookhaven, NY 11 13 6 10 6 8 10 11 12 8

Orlando, FL 8 9 11 6 9 11 10 6 9 13

Tulsa, OK 10 8 13 7 7 7 9 10 11 8

Indianapolis, IN 7 6 11 9 11 6 7 11 7 10

Seattle, WA 8 5 7 5 12 8 12 13 7 8

Long Beach, CA 8 9 6 7 10 9 7 10 7 7

Corpus Christi, TX 9 12 7 7 5 6 7 12 8 3
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 41

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Santa Ana, CA 11 5 7 7 2 8 15 5 8 7

Baton Rouge, LA 3 6 6 9 14 11 4 9 7 5

San Bernardino, CA 4 4 9 6 8 11 6 5 12 8

St Petersburg, FL 11 7 10 6 9 4 6 7 5 7

Birmingham, AL 11 8 6 5 8 7 4 10 4 6

Bakersfield, CA 9 8 2 3 5 2 7 7 8 12

Hialeah, FL 4 11 8 5 5 4 6 8 6 5

Islip, NY 5 5 11 5 3 5 9 10 6 2

Cleveland, OH 8 7 8 5 7 1 5 2 10 8

Anaheim, CA 5 2 5 6 5 7 7 6 8 9

Reno, NV 5 6 8 5 4 6 9 5 5 6

Stockton, CA 5 4 4 6 5 10 5 5 8 6

Minneapolis, MN 10 11 6 2 6 6 4 6 6 1

Oyster Bay, NY 7 5 10 3 2 11 2 4 10 4

Raleigh, NC 5 7 5 4 6 7 4 6 5 8

Salt Lake City, UT 8 7 5 9 5 2 0 4 6 10

Mobile, AL 343 5 3 7 9 8 3 1

Pittsburgh, PA 6 5 4 5 6 3 9 8 4 5

Aurora, CO 375 4 6 4 4 7 8

Mesa, AZ 551 3 7 2 3 5 13

Greensboro, NC 5 4 4 6 7 4 3 6 8 6

Cincinnati, OH 6 5 4 7 4 1 6 8 7 5

Toledo, OH 9 5 8 4 5 2 4 4 5 7

Hollywood, FL 5 10 6 1 5 6 6 4 4 3

Anchorage, AK 5 6 4 4 5 8 4 6 4 3

Clearwater, FL 827 7 1 7 3 5 5

Jackson, MS 2 8 3 6 4 6 4 3 13 0

Charleston, SC 4 3 6 4 1 6 2 10 8 5

Riverside, CA 568 4 3 3 3 5 5

Worcester, MA 662 7 5 6 4 6 2

Jersey City, NJ 735 6 4 6 6 3 4

Durham, NC 4 3 5 6 5 4 3 8 3 5

Beaumont, TX 3 7 1 5 2 5 3 2 9 9

Huntsville, AL 7 0 4 4 7 5 3 4 4 7

Montgomery, AL 4 8 3 2 5 3 2 7 7 3

Glendale, AZ 2 5 5 3 5 6 5 2 4 7

Rochester, NY 487 2 4 5 4 3 4

Fayetteville, NC 6 3 3 6 6 4 3 3 7 3

Ontario, CA 351 3 5 3 6 8 3

Lexington, KY 6 7 3 2 3 6 3 3 6 3

Omaha, NE 3 5 4 6 7 2 6 4 3 2

Daytona Beach, FL 3 6 2 6 5 3 3 5 3 5

Ft Myers, FL 417 6 2 1 7 1 5

Wichita, KS 783 1 6 3 1 3 3

Winston Salem, NC 4 3 6 6 3 7 3 3 3 3

Arlington, TX 3 5 2 6 6 2 4 2 4 7

Virginia Beach, VA 2 5 5 0 6 3 4 5 7 4

Tacoma, WA 734 6 4 2 7 0 5

Amarillo, TX 3 4 2 5 4 4 3 3 7 5

Huntington Beach, CA 1 3 5 3 7 5 4 2 5 4

Oceanside, CA 4 2 2 3 3 2 3 5 7 8

Columbus, GA 491 3 5 2 3 2 5

0

6

9

4

6

4

2

3

5

7

6

3

5
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 42

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

St Paul, MN 735 5 4 1 3 2 6 3

Buffalo, NY 5 4 5 5 5 3 2 3 5 2

Pomona, CA 2 3 3 8 7 2 2 5 4 2

Augusta, GA 5 3 5 1 5 5 3 2 2 6

Modesto, CA 2 2 4 3 4 3 2 4 8 4

Colorado Springs, CO 5 4 3 6 1 5 3 4 4 1

Columbia, SC 3 8 10 0 1 1 1 4 6 2

Norfolk, VA 345 4 4 2 5 2 3 4

Tempe, AZ 341 5 3 3 6 1 5 4

Springfield, MA 202 6 2 5 8 3 6 1

Elizabeth, NJ 2 1 0 2 6 7 1 10 2 4

Paterson, NJ 455 0 4 3 3 5 3 3

Garden Grove, CA 5 3 5 3 5 3 3 2 3 2

Rialto, CA 234 2 3 2 6 7 3 2

Santa Monica, CA 2 4 2 4 4 4 10 1 2 1

Savannah, GA 4 4 1 4 7 4 1 2 1 6

Shreveport, LA 4 3 5 2 2 3 6 2 5 2

Babylon, NY 433 6 5 1 2 4 2 4

Dayton, OH 194 4 1 2 5 1 4 3

Chattanooga, TN 7 2 2 6 1 3 3 3 5 2

Chula Vista, CA 1 5 6 4 3 3 2 2 4 3

Macon, GA 252 5 2 2 6 3 1 5

Laredo, TX 2 5 1 2 4 3 6 2 5 3

Richmond, VA 7 3 3 5 3 2 5 3 2 0

Little Rock, AR 2 3 4 6 3 2 3 4 3 2

Knoxville, TN 3 1 4 2 6 2 6 2 0 6

El Cajon, CA 231 3 6 6 4 1 3 2

Hartford, CT 7 1 4 5 2 5 1 3 2 1

West Palm Beach, FL 2 1 5 3 8 0 3 2 2 5

Woodbridge, NJ 3 0 6 3 2 4 2 4 1 6

Pompano Beach, FL 0 7 3 1 3 4 4 1 3 4

Marietta, GA 4 4 4 1 4 3 3 4 2 1

Lafayette, LA 5 4 0 3 3 2 3 4 2 4

Vista, CA 263 1 3 4 1 4 3 2

Pinellas Park, FL 431 4 3 2 3 1 5 3

Gary, IN 474 2 2 1 2 1 1 5

Providence, RI 3 3 1 0 4 4 3 2 5 4

Brownsville, TX 2 3 3 2 4 5 5 1 1 3

Lubbock, TX 4 3 1 0 3 3 4 4 1 6

Compton, CA 225 4 2 5 3 2 1 2

Escondido, CA 1 2 5 3 4 1 3 3 1 5

Grand Rapids, MI 3 3 3 2 5 2 4 4 1 1

Mesquite, TX 314 1 4 3 4 3 4 1

Lancaster, CA 2 1 1 4 2 2 2 0 8 5

Pueblo, CO 1 6 3 3 1 6 2 2 1 2

Sarasota, FL 341 3 4 3 3 2 3 1

Des Moines, IA 743 2 0 1 2 2 2 4

Flint, MI 915 1 1 3 3 4 0 0

Springfield, MO 325 3 1 2 2 4 2 3

Yonkers, NY 2 3 3 4 3 5 3 1 2 1

Irving, TX 362 3 5 2 1 0 1 4

Ogden, UT 4 4 1 3 4 6 1 1 2 1
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 43

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Oxnard, CA 4 3 0 3 2 6 2 2 0 4

Miami Beach, FL 2 4 3 2 2 3 3 1 3 3

North Las Vegas, NV 1 2 1 1 1 6 6 2 2 4

Spokane, WA 2 1 4 2 7 3 1 3 1 2

Glendale, CA 1 3 1 4 3 3 5 1 1 3

Palm Springs, CA 332 5 2 4 2 1 1 2

Lakewood, CO 2 6 1 0 5 2 3 5 1 0

Largo, FL 3 1 4 4 1 2 2 3 1 4

Kansas City, KS 2 4 2 2 3 1 3 4 4 0

Warren, MI 412 1 3 5 2 4 0 3

Downey, CA 160 1 3 3 0 3 2 5

Fontana, CA 1 1 1 2 5 5 0 3 2 4

Orange, CA 1 2 2 5 3 3 3 3 2 0

Santa Barbara, CA 1 4 1 2 4 1 2 2 7 0

Stanton, CA 3 0 2 1 4 4 1 1 4 4

Victorville, CA 2 2 3 1 2 4 2 2 3 3

Waterbury, CT 136 3 3 2 2 0 2 2

New Port Richey, FL 121 1 4 3 1 5 1 5

North Miami Beach, FL 3 4 1 6 1 2 1 2 2 2

Atlantic City, NJ 4 2 1 2 3 3 3 2 3 1

Huntington, NY 1 4 4 0 2 0 3 2 2 6

Baldwin Park, CA 031 4 3 1 4 2 3 2

Hayward, CA 5 1 0 7 1 2 4 2 1 0

Redding, CA 3 1 4 2 1 3 2 4 3 0

Santa Rosa, CA 3 5 2 2 3 2 2 0 3 1

Garland, TX 0 3 5 0 1 2 1 5 1 5

Salinas, CA 040 0 1 1 5 4 3 4

Santa Clara, CA 2 2 1 5 1 3 3 1 2 2

Bridgeport, CT 3 1 4 2 2 2 1 1 3 3

Lakeland, FL 1 3 4 0 3 2 1 1 6 1

Rockford, IL 3 4 6 1 3 1 0 0 3 1

East Orange, NJ 1 2 2 4 2 0 2 3 5 1

North Bergen, NJ 3 1 4 1 4 3 2 2 2 0

New Hyde Park, NY 204 0 1 2 6 3 2 2

Wilmington, NC 2 1 2 1 2 4 2 2 4 2

Eugene, OR 3 2 1 3 3 3 2 0 4 1

Abilene, TX 2 2 3 2 2 4 2 2 3 0

Newport News, VA 142 3 2 3 2 0 4 1

Apple Valley, CA 0 0 1 3 0 1 3 7 1 5

Fremont, CA 2 2 1 0 3 4 3 3 3 0

Ventura, CA 3 2 2 3 2 4 1 0 2 2

North Miami, FL 3 1 1 2 3 1 1 2 6 1

Riviera Beach, FL 3 2 0 3 2 2 3 2 1 3

Lowell, MA 421 2 2 1 2 3 3 1

Henderson, NV 2 3 2 1 1 3 3 2 1 3

Gallup, NM 304 2 1 3 2 5 1 0

Syracuse, NY 412 2 2 4 1 1 2 2

McAllen, TX 312 3 1 6 2 0 2 1

Port Arthur, TX 2 1 2 2 3 3 1 4 0 3

Scottsdale, AZ 4 5 1 0 1 1 0 3 3 2

Buena Park, CA 2 2 1 1 2 2 2 2 3 3

Lynwood, CA 2 2 3 4 3 0 2 2 0 2
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 44

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Madera, CA 1 3 2 2 1 0 2 5 1 3

Pasadena, CA 1 3 1 4 2 1 0 3 3 2

Westminster, CA 111 1 2 2 2 5 2 3

New Haven, CT 3 3 2 1 0 3 3 1 1 3

Deerfield Beach, FL 2 4 1 1 1 2 4 1 2 2

Sanford, FL 3 5 0 0 3 1 0 3 2 3

Tallahassee, FL 5 1 0 2 0 2 2 2 5 1

Pontiac, MI 313 3 2 0 2 3 2 1

Edison, NJ 231 0 2 3 3 1 1 4

Lakewood, NJ 1 2 3 1 3 1 3 1 0 5

Allentown, PA 1 0 4 1 6 2 1 3 2 0

Erie, PA 3 3 4 0 1 1 1 4 2 1

Greenville, SC 6 1 1 1 1 0 0 2 5 3

Conroe, TX 1 3 2 5 0 1 3 0 1 4

Waco, TX 221 3 1 2 1 1 5 2

Everett, WA 3 3 1 0 2 5 0 0 2 4

Carlsbad, CA 2 2 1 2 2 2 1 2 2 3

Corona, CA 2 3 2 2 2 2 2 0 1 3

El Monte, CA 3 2 4 0 1 2 1 2 0 4

Monterey Park, CA 2 2 2 4 0 3 2 1 0 3

National City, CA 4 1 1 2 3 2 1 0 3 2

Melbourne, FL 0 1 2 1 2 1 5 1 4 2

East St Louis, IL 2 5 2 1 1 0 0 3 1 4

Peoria, IL 113 3 2 1 1 4 1 2

Southfield, MI 2 0 1 2 0 4 3 1 3 3

Freeport, NY 2 2 2 1 2 4 1 1 2 2

Pasadena, TX 4 2 1 5 1 3 0 3 0 0

Chesapeake, VA 2 3 2 2 3 0 1 2 3 1

Flagstaff, AZ 0 1 1 3 3 0 2 1 5 2

Bellflower, CA 1 2 2 3 2 3 3 0 2 0

Indio, CA 3 2 0 3 3 1 2 2 1 1

Palmdale, CA 3 2 1 1 2 1 2 1 3 2

Santa Maria, CA 1 0 1 1 2 1 1 4 6 1

Sunnyvale, CA 2 2 3 0 2 1 1 0 6 1

Vallejo, CA 1 3 1 0 3 1 2 3 1 3

Visalia, CA 221 2 2 3 2 2 1 1

Davie, FL 141 0 3 0 2 1 2 4

Immokalee, FL 122 2 3 1 2 0 1 4

Ocala, FL 1 3 1 3 2 2 1 3 2 0

Albany, GA 131 3 1 3 3 1 0 2

Athens, GA 2 4 2 1 1 1 1 1 3 2

Lake Charles, LA 1 2 2 1 3 0 0 4 3 2

Billings, MT 101 2 2 5 0 3 1 3

Trenton, NJ 1 2 3 2 4 1 2 1 1 1

Burlington, NC 4 4 1 2 3 0 2 1 1 0

Hickory, NC 3 0 5 4 0 0 3 0 1 2

Salem, OR 142 2 1 3 2 3 0 0

Clarksville, TN 5 0 0 1 2 0 2 4 1 3

Longview, TX 2 3 0 2 1 0 2 4 4 0

Temple, TX 212 0 1 8 1 1 2 0

Pine Bluff, AR 2 2 3 2 1 2 4 0 1 0

Richmond, CA 3 1 0 2 3 3 2 0 2 1
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 45

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Santa Clarita, CA 2 1 1 3 3 3 1 2 1 0

Stamford, CT 251 2 0 3 0 1 3 0

Altamonte Springs, FL 1 1 3 2 1 1 3 2 3 0

Delray Beach, FL 3 2 3 0 1 2 2 2 2 0

Gainesville, FL 3 1 1 3 3 0 0 2 2 2

Kissimmee, FL 210 5 1 1 2 1 4 0

Lake Worth, FL 0 2 1 2 1 1 4 2 2 2

Oakland Park, FL 1 0 3 2 1 1 4 2 2 1

Panama City, FL 6 1 1 2 1 2 0 0 1 3

Sunrise, FL 4 1 2 1 2 2 0 3 0 2

Winter Haven, FL 0 2 1 3 3 1 2 0 1 4

Hammond, IN 3 1 2 2 1 2 3 2 0 1

Union, NJ 123 1 3 3 0 2 2 0

Smithtown, NY 0 1 0 3 4 3 4 1 1 0

Southampton, NY 3 4 1 1 3 1 2 2 0 0

Akron, OH 210 1 3 2 3 0 3 2

Reading, PA 1 0 1 3 2 2 2 2 2 2

Baytown, TX 411 2 1 1 1 1 1 4

Roanoke, VA 0 1 1 5 4 1 0 3 1 1

Lakewood Center, WA 1 2 0 2 2 4 2 1 1 2

Madison, WI 1 3 0 2 3 1 2 3 0 2

Citrus Heights, CA 1 1 1 0 1 3 2 3 1 3

Concord, CA 2 2 2 3 3 0 0 0 2 2

Fullerton, CA 321 1 3 1 1 2 1 1

Gardena, CA 1 3 2 1 1 1 0 4 2 1

Hesperia, CA 213 0 0 3 5 2 0 0

Inglewood, CA 1 3 5 0 1 0 0 2 2 2

San Leandro, CA 1 3 2 5 0 1 1 2 1 0

Ft Pierce, FL 122 1 0 4 0 1 2 3

Pensacola, FL 7 1 3 1 1 0 0 1 1 1

Boise, ID 301 1 0 3 4 1 2 1

Bossier City, LA 0 1 0 3 4 0 1 4 2 1

Forestville, MD 0 1 2 0 2 4 2 1 2 2

Langley Park, MD 1 4 1 1 2 3 2 1 0 1

Cambridge, MA 2 2 1 3 0 0 3 2 2 1

New Bedford, MA 0 4 1 0 3 1 2 4 1 0

Clinton Township, MI 0 1 0 4 1 1 2 2 2 3

Independence, MO 1 1 2 4 0 1 0 2 3 2

Camden, NJ 3 0 0 2 1 1 0 3 2 4

Old Bridge, NJ 0 3 2 2 1 3 2 1 1 1

Ramapo, NY 1 0 1 1 1 2 4 2 1 3

Salisbury, NC 162 1 2 1 0 1 2 0

Myrtle Beach, SC 1 1 3 3 1 2 2 0 2 1

North Charleston, SC 4 2 1 3 1 0 0 1 0 4

Bryan, TX 301 1 3 0 0 4 2 2

Grand Prairie, TX 2 1 0 1 4 2 1 2 2 1

Wichita Falls, TX 2 2 2 1 1 0 0 1 5 2

Federal Way, WA 2 1 2 1 2 1 2 2 3 0

Kent, WA 140 1 1 3 3 0 2 1

Tuscaloosa, AL 3 2 1 0 1 0 0 4 2 2

Chandler, AZ 5 2 0 0 1 1 0 2 1 3

Hawthorne, CA 6 1 2 0 0 1 1 1 1 2
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 46

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Irvine, CA 422 1 1 0 2 2 0 1

Merced, CA 111 2 1 3 2 1 0 3

Palm Desert, CA 230 2 2 2 1 2 1 0

San Gabriel, CA 141 1 1 0 2 2 3 0

Torrance, CA 1 2 3 4 0 1 1 1 1 1

Boynton Beach, FL 1 0 3 0 2 2 1 1 2 3

Cicero, IL 201 1 2 3 2 1 1 2

Fort Wayne, IN 133 1 1 0 0 2 1 3

Monroe, LA 1 2 1 1 1 1 2 1 3 2

Dearborn, MI 0 2 2 2 1 2 1 0 2 3

Lansing, MI 1 3 1 2 0 1 3 1 2 1

Colonie, NY 0 3 1 1 1 2 3 2 0 2

Asheville, NC 031 0 3 3 0 0 5 0

Edinburg, TX 2 0 3 4 2 0 0 3 1 0

Odessa, TX 340 1 1 2 2 0 1 1

South Salt Lake, UT 2 0 0 4 4 1 2 0 1 1

Alexandria, VA 2 0 3 2 2 2 1 0 2 1

North Little Rock, AR 1 1 1 2 4 0 2 1 0 2

Cucamonga, CA 2 6 2 1 0 0 0 0 2 1

Gilroy, CA 111 1 2 1 2 1 0 4

Hemet, CA 030 1 1 3 2 2 0 2

Rancho Cucamonga, CA 0 0 0 0 3 2 1 1 1 6

West Covina, CA 100 2 1 3 2 0 4 1

Yucca Valley, CA 112 1 0 1 4 0 1 3

Boca Raton, FL 011 1 1 0 2 2 3 3

Homestead, FL 2 0 1 1 2 0 3 0 3 2

Pembroke Pines, FL 210 1 3 3 2 0 0 2

Skokie, IL 000 2 5 1 0 3 1 2

Springfield, IL 112 1 0 4 1 1 3 0

Evansville, IN 310 0 1 1 3 0 3 2

South Bend, IN 2 2 2 1 2 0 1 1 1 2

Biloxi, MS 131 0 1 0 0 1 3 4

Gulfport, MS 211 1 2 1 0 1 4 1

Clifton, NJ 102 2 1 0 2 3 1 2

Teaneck, NJ 1 1 3 0 0 2 1 3 2 1

Santa Fe, NM 2 1 2 1 1 2 0 1 2 2

Albany, NY 211 0 0 3 2 1 2 2

Cheektowaga, NY 1 0 1 2 2 1 2 4 0 1

Niagara Falls, NY 1 4 1 1 1 2 1 0 1 2

Gastonia, NC 0 2 3 0 2 1 1 3 2 0

Springfield, OR 001 0 2 4 2 3 0 2

Scranton, PA 0 2 1 3 0 1 3 0 1 3

Suffolk, VA 1 2 1 1 1 2 1 2 2 1

Shoreline, WA 3 1 0 1 1 2 2 1 2 1

Kenosha, WI 2 1 1 0 3 2 0 1 2 2

Bullhead City, AZ 1 2 1 2 1 1 1 1 2 1

Fort Smith, AR 014 0 1 3 1 1 0 2

Burbank, CA 2 1 1 2 2 2 0 0 2 1

Coachella, CA 1 1 0 2 0 5 2 0 2 0

Encinitas, CA 122 0 1 1 2 2 1 1

South Gate, CA 4 0 2 1 0 3 0 2 1 0

South San Francisco, CA 1 1 0 1 2 1 2 0 2 3
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 47

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

West Sacramento, CA 0 3 0 1 1 2 2 1 1 2

Whittier, CA 1 1 0 2 0 1 0 7 1 0

Westminster, CO 003 1 3 1 2 0 0 3

Bradenton, FL 3 1 2 0 2 0 2 1 1 1

Cape Coral, FL 0 1 2 2 1 1 1 0 2 3

Hilo, HI 122 1 0 0 2 0 3 2

Davenport, IA 0 3 0 1 1 1 1 0 2 4

Alexandria, LA 2 3 0 1 0 3 2 1 0 1

Hyattsville, MD 4 0 2 0 2 0 1 0 3 1

Landover, MD 2 3 0 0 0 4 0 1 2 1

Fall River, MA 113 1 2 2 0 1 1 1

Hattiesburg, MS 0 0 0 0 0 2 1 3 3 4

Columbia, MO 110 2 2 1 1 2 1 2

North Brunswick, NJ 1 1 2 1 1 1 0 3 1 2

Amherst, NY 112 1 3 1 2 1 0 1

Hamburg, NY 2 2 2 2 3 0 0 1 0 1

Goldsboro, NC 2 2 1 1 0 2 2 1 1 1

Gresham, OR 0 3 0 3 1 1 3 0 1 1

Harrisburg, PA 2 2 1 0 3 2 0 1 2 0

Galveston, TX 3 4 1 0 0 2 1 1 1 0

Victoria, TX 112 2 1 1 3 0 0 2

Portsmouth, VA 4 2 1 0 1 4 0 1 0 0

Tukwila, WA 021 1 2 1 2 2 0 2

Vancouver, WA 1 3 4 2 1 1 0 1 0 0

Charleston, WV 2 2 2 4 1 1 1 0 0 0

Yuma, AZ 201 4 3 2 0 0 0 0

Fayetteville, AR 1 0 0 3 1 2 1 3 1 0

Arcadia, CA 1 2 1 0 1 2 1 2 1 1

Beverly Hills, CA 1 1 2 1 2 1 1 0 0 3

Carson, CA 211 4 1 1 1 1 0 0

Cathedral City, CA 0 2 1 1 0 1 2 4 0 1

Costa Mesa, CA 211 1 4 0 1 2 0 0

Daly City, CA 2 3 1 1 0 2 0 2 0 1

Eureka, CA 201 1 2 0 2 1 2 1

Norwalk, CA 101 1 0 1 2 1 2 3

Rosemead, CA 1 3 1 1 2 1 1 0 1 1

Temecula, CA 011 2 1 1 1 2 0 3

Turlock, CA 330 0 2 1 1 1 1 0

Norwalk, CT 220 1 1 2 0 1 3 0

Dania, FL 3 0 2 2 0 2 1 2 0 0

Hallandale, FL 2 3 0 2 0 2 0 1 2 0

Palm Bay, FL 002 1 0 1 0 1 1 6

Aiea, HI 121 1 2 2 0 2 1 0

Aurora, IL 040 1 1 2 2 0 1 1

Elgin, IL 1 1 0 2 1 2 1 0 2 2

Waukegan, IL 0 1 1 2 0 1 1 1 1 4

Kenner, LA 1 3 0 1 1 0 2 0 2 2

Oxon Hill, MD 0 2 0 0 2 0 1 2 3 2

Lynn, MA 401 0 2 1 0 1 2 1

Revere, MA 020 2 2 1 0 2 1 2

Taunton, MA 0 1 0 3 2 2 0 0 2 2

St Joseph, MO 2 2 0 1 3 0 1 0 0 3
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 48

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Hackensack, NJ 0 0 2 0 0 4 0 3 2 1

Howell, NJ 311 2 0 0 2 1 1 1

Paramus, NJ 201 2 3 1 2 0 1 0

Parsippany, NJ 0 1 3 0 1 1 2 0 1 3

Rahway, NJ 001 2 1 2 1 2 2 1

Sayreville, NJ 0 0 1 1 1 2 0 2 2 3

Farmington, NM 3 1 0 1 1 1 1 2 1 1

Las Cruces, NM 1 0 0 2 1 1 2 0 2 3

Greenville, NC 2 1 0 0 0 0 1 2 4 2

High Point, NC 2 3 2 1 0 0 2 1 1 0

Bethlehem, PA 1 3 1 0 0 1 0 2 2 2

Conway, SC 031 2 1 1 1 1 1 1

Sioux Falls, SD 210 1 1 1 2 1 2 1

Jackson, TN 0 1 1 2 0 0 2 2 2 2

Killeen, TX 0 1 1 1 0 1 1 2 3 2

Texarkana, TX 1 2 1 0 3 0 3 0 0 2

Renton, WA 2 1 0 2 0 1 4 1 0 1

Bessemer, AL 230 1 0 0 1 1 2 1

West Memphis, AR 211 1 1 1 0 2 1 1

Berkeley, CA 120 1 1 1 0 4 1 0

Colton, CA 110 1 2 1 1 0 3 1

Desert Hot Springs, CA 2 2 1 0 2 1 0 1 2 0

La Mirada, CA 0 0 0 0 2 0 2 1 3 3

Montclair, CA 1 0 1 0 3 1 1 0 2 2

Montebello, CA 0 1 4 1 2 1 0 0 1 1

Mountain View, CA 2 3 0 0 1 3 0 0 2 0

Perris, CA 010 0 0 2 0 1 4 3

Pico-Rivera, CA 0 0 3 3 2 1 1 0 1 0

Redwood City, CA 1 1 0 1 0 0 0 4 1 3

San Marcos, CA 1 0 1 0 2 1 1 1 3 1

San Mateo, CA 3 0 2 0 0 0 0 2 1 3

Englewood, CO 0 1 1 1 0 3 0 1 3 1

East Hartford, CT 211 0 2 1 2 0 1 1

Apopka, FL 0 0 1 1 2 2 0 0 3 2

Holly Hill, FL 1 2 0 1 0 2 0 1 1 3

Miramar, FL 200 0 1 0 2 0 2 4

Doraville, GA 0 3 1 0 2 1 0 1 1 2

Ocean City, MD 2 0 1 3 1 0 2 1 1 0

Brockton, MA 0 0 2 0 2 1 3 2 1 0

Quincy, MA 221 0 0 0 1 0 1 4

Farmington Hills, MI 1 1 1 2 1 4 0 0 0 1

Roseville, MI 0 1 3 2 0 1 1 0 1 2

Saginaw, MI 0 0 4 0 2 2 1 1 0 1

Taylor, MI 112 2 2 0 2 1 0 0

Rochester, MN 312 0 0 1 2 1 0 1

Lincoln, NE 2 3 0 1 1 0 1 1 1 1

Irvington, NJ 0 1 2 2 0 2 0 0 3 1

Middletown, NJ 4 0 0 1 2 0 0 1 0 3

Millville, NJ 0 1 2 1 1 0 3 1 1 1

Vineland, NJ 3 1 1 2 1 0 0 0 1 2

Mount Vernon, NY 1 3 0 0 0 2 0 3 1 1

Newburgh, NY 1 1 3 0 0 1 1 1 1 2
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 49

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Utica, NY 211 0 0 1 0 2 1 3

Rocky Mount, NC 130 1 0 2 2 0 0 2

Wilson, NC 223 2 1 0 0 0 1 0

Canton, OH 3 1 0 1 0 1 1 1 3 0

Beaverton, OR 0 1 1 2 1 1 0 2 1 2

Bensalem, PA 0 0 0 0 0 5 2 3 1 0

Warwick, RI 143 0 2 0 0 0 0 1

College Station, TX 0 0 6 1 1 0 0 2 1 0

Lewisville, TX 3 2 0 0 0 1 1 0 4 0

Tyler, TX 001 0 1 1 2 2 2 2

Hampton, VA 122 1 1 1 2 1 0 0

Green Bay, WI 1 0 2 1 0 2 3 0 1 1

West Allis, WI 012 0 2 1 2 2 0 1

Holbrook, AZ 402 1 1 2 0 0 0 0

Texarkana, AR 0 2 0 1 0 0 3 2 1 1

Calexico, CA 111 3 1 1 0 0 1 1

El Centro, CA 020 0 0 1 1 1 2 3

Huntington Park, CA 2 0 0 0 1 1 2 0 1 3

Laguna Beach, CA 2 1 1 2 1 0 1 1 1 0

Lake Los Angeles, CA 0 0 0 0 0 0 0 10 0 0

Lodi, CA 0 1 2 1 1 0 1 1 1 2

Moreno Valley, CA 0 0 0 1 4 0 0 2 1 2

Newport Beach, CA 1 2 0 2 0 1 1 2 1 0

San Rafael, CA 2 1 1 2 2 1 0 0 1 0

South Lake Tahoe, CA 3 0 0 2 1 1 2 0 1 0

Thousand Oaks, CA 1 0 2 1 2 1 0 2 1 0

Tustin, CA 021 0 0 1 2 1 0 3

Twentynine Palms, CA 1 0 1 0 2 1 2 1 2 0

Upland, CA 1 2 2 0 0 1 0 0 2 2

Watsonville, CA 0 0 1 0 1 2 4 2 0 0

New Britain, CT 0 0 0 3 0 2 1 2 0 2

Haines City, FL 110 2 0 1 1 2 1 1

Margate, FL 3 1 2 1 0 0 0 0 0 3

Ormond Beach, FL 0 1 0 1 2 2 2 1 0 1

Port Richey, FL 102 2 0 2 1 1 0 1

Winter Park, FL 3 2 0 0 2 1 0 1 1 0

Waipahu, HI 1 0 0 2 3 2 0 2 0 0

Des Plaines, IL 2 0 0 2 0 1 1 1 3 0

Evanston, IL 1 1 1 1 2 0 3 1 0 0

Mt Prospect, IL 1 2 0 1 1 1 2 1 1 0

Schaumburg, IL 1 1 1 1 1 1 3 0 0 1

Cedar Rapids, IA 1 3 0 1 0 2 0 2 0 1

Topeka, KS 0 0 4 0 2 0 1 1 0 2

Bowling Green, KY 0 2 1 0 1 1 1 2 0 2

Annapolis, MD 1 0 0 1 4 0 0 0 3 1

Medford, MA 0 2 1 2 1 1 0 1 1 1

Somerville, MA 2 2 1 0 2 0 0 1 1 1

Kalamazoo, MI 212 1 0 2 0 1 1 0

Westland, MI 1 3 0 3 1 0 0 0 0 2

Joplin, MO 221 0 0 1 2 0 1 1

Carson City, NV 3 1 2 1 0 1 2 0 0 0

Bayonne, NJ 1 2 3 0 0 0 1 0 1 2
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 50

City Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Linden, NJ 2 1 1 1 1 0 2 1 1 0

Pennsauken, NJ 1 1 2 2 0 0 2 1 1 0

Wayne, NJ 111 2 1 1 1 0 1 1

East Hampton, NY 001 0 1 0 3 3 1 1

New City, NY 004 1 1 2 1 0 1 0

New Rochelle, NY 112 0 1 1 1 2 0 1

Lumberton, NC 2 1 0 0 2 1 0 0 2 2

Medford, OR 3 0 1 0 0 1 0 2 1 2

Lancaster, PA 0 0 2 3 0 2 1 0 2 0

Harlingen, TX 0 1 3 1 1 2 0 1 1 0

Marshall, TX 202 0 2 0 1 0 1 2

Pharr, TX 220 2 1 1 0 1 1 0

Plano, TX 1 0 0 2 3 3 0 0 1 0

San Marcos, TX 0 0 2 1 2 2 1 0 0 2

South Houston, TX 0 0 2 1 0 0 3 2 1 1

Sugar Land, TX 0 1 0 1 2 2 1 1 1 1

Texas City, TX 001 0 1 3 3 1 0 1

West Valley City, UT 220 2 1 0 1 1 0 1

Huntington, WV 2 3 2 0 1 2 0 0 0 0

Casper, WY 112 3 1 1 0 0 1 0

Note: Data in this table has been used to create Table 5 in Crash Location. 

Table A-8: Pedestrian crash deaths by day of month and month

Day of Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 

1 236 140 148 130 121 142 115 122 144 152 173 205

2 151 137 130 131 111 118 131 157 145 168 171 188

3 159 126 120 118 135 107 140 134 153 156 189 169

4 141 157 129 126 109 108 149 131 140 169 173 193

5 152 149 133 133 133 98 115 129 130 162 160 143

6 154 135 134 119 109 108 103 119 127 139 161 158

7 148 139 128 103 121 105 100 116 146 145 169 150

8 148 128 139 126 115 127 88 134 105 146 148 180

9 146 123 130 111 105 101 122 108 151 159 162 151

10 163 134 117 109 99 112 110 138 136 160 194 178

11 143 137 115 115 111 132 134 117 145 151 124 152

12 153 117 96 113 100 108 98 122 126 172 163 144

13 113 125 122 112 110 130 115 119 140 171 151 175

14 164 149 125 100 117 109 111 135 141 160 156 146

15 119 141 126 126 119 112 112 129 166 157 173 170

16 135 97 124 134 113 100 146 129 140 177 174 168

17 156 124 108 111 105 99 128 127 140 170 166 167

18 134 116 121 115 115 103 122 118 156 135 158 176

19 120 104 130 120 117 131 131 139 133 157 160 184

20 134 129 119 105 115 137 114 144 155 146 190 183

21 132 132 110 107 106 92 113 108 113 167 168 171

22 159 117 121 117 106 118 91 130 164 147 182 169

23 125 131 102 99 118 111 113 142 152 150 157 187

24 126 107 132 98 113 110 133 122 151 171 166 148

25 143 129 113 105 103 136 108 127 133 191 146 119

26 126 147 118 113 103 123 118 137 161 178 159 140

27 134 134 117 110 96 114 119 145 144 139 153 137

28 135 135 122 109 111 130 119 120 129 153 153 131

29 137 24 101 99 113 118 101 139 140 172 180 135

30 151 N/A 100 113 112 112 127 140 131 179 142 128

31 147 N/A 129 N/A 100 N/A 116 149 N/A 212 N/A 185

Note: Data in this table has been used to create Table 6 in Crash Time 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 51

Table A-9: Pedestrian crash deaths by day of week and year 

Weekday 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Sunday 715 686 663 659 624 651 622 688 661 749

Monday 644 673 648 610 635 607 569 563 603 597

Tuesday 671 720 636 629 612 627 591 587 617 631

Wednesday 715 673 637 603 639 665 693 614 645 627

Thursday 702 707 660 653 678 646 639 620 654 611

Friday 920 847 829 766 836 787 783 782 814 747

Saturday 952 920 865 842 873 867 874 820 897 822

Unknown 2 2 1 1 4 1 3 1 1 0

Note: Data in this table has been used to create Figures 3-1 and 3-2 in Crash Time. 

Table A-10: Pedestrian crash deaths by month and year 

Month 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

January 480 486 449 444 397 479 453 406 443 450

February 386 426 338 353 361 357 345 367 372 358

March 401 377 394 388 383 357 374 350 366 371

April 359 366 377 338 340 341 352 294 348 314

May 440 350 361 371 341 350 280 357 307 306

June 377 378 350 335 320 369 332 336 318 337

July 396 387 401 318 355 359 369 317 377 363

August 441 417 407 389 422 386 402 363 392 408

September 421 442 379 426 405 406 414 435 471 440

October 514 536 509 479 517 523 467 470 501 497

November 539 534 472 447 527 461 497 471 501 472

December 567 529 502 475 533 463 489 509 496 468

Note: Data in this table has been used to create Figure 3-3 in Crash Time. 

Table A-11: Pedestrian crash deaths by season and year 

Season 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Winter 1,433 1,441 1,289 1,272 1,291 1,299 1,287 1,282 1,311 1,276

Spring 1,200 1,093 1,132 1,097 1,064 1,048 1,006 1,001 1,021 991

Summer 1,214 1,182 1,158 1,042 1,097 1,114 1,103 1,016 1,087 1,108

Fall 1,474 1,512 1,360 1,352 1,449 1,390 1,378 1,376 1,473 1,409

Note: Data in this table has been used to create Figure 3-4 in Crash Time. 

Table A-12: Pedestrian crash deaths by time of day and year 

Time of Day 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Midnight to 3 a.m. 562 578 553 544 533 579 565 574 624 618

3 a.m. to 6 a.m. 339 332 357 318 379 373 374 372 438 453

6 a.m. to 9 a.m. 499 432 441 441 430 415 391 394 434 453

9 a.m. to Noon 336 342 323 276 298 288 325 290 290 254

Noon to 3 p.m. 435 415 322 381 375 329 331 312 321 293

3 p.m. to 6 p.m. 717 687 613 578 626 625 620 567 568 478

6 p.m. to 9 p.m. 1,316 1,310 1,241 1,218 1,199 1,188 1,151 1,158 1,182 1,183

9 p.m. to Midnight 1,086 1,101 1,060 975 1,031 1,027 992 983 1,007 1,019

Unknown 31 31 29 32 30 27 25 25 28 33

Note: Data in this table has been used to create Figures 3-5 & 3-6 in Crash Time. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 52

Table A-13: Pedestrian crash deaths by sex and year

Pedestrian Sex 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Male 3,643 3,558 3,466 3,251 3,421 3,298 3,274 3,237 3,450 3,309

Female 1,677 1,670 1,472 1,512 1,479 1,552 1,499 1,435 1,441 1,444

Unknown 1 0 1 0 1 1 1 3 1 31

Note: Data in this table has been used to create Figures 4-1 & 4-2 in Pedestrian Information. 

Table A-14: Pedestrian crash deaths by race and year

Race 1997 1998 1999 2000 2001 2002 2003 2004 2005

White N/A N/A 2,870 2,720 3,137 3,124 3,220 2,906 3,073

Black N/A N/A 799 705 768 787 724 724 750

American Indian N/A N/A 106 88 100 102 107 86 110

Asian N/A N/A 100 106 88 100 113 118 134

Pacific Islander N/A N/A 32 40 58 50 42 40 58

Other Indian N/A N/A 0 0 6 4 3 6 7

Other N/A N/A 22 14 18 38 27 46 47

Unknown N/A N/A 1,010 1,090 726 646 538 749 713

Note: Data in this table has been used to create Figure 4-3 in Pedestrian Information.

Table A-15: Pedestrian crash deaths by specific age group and year

Age Group 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

<4 167 171 163 154 122 121 109 108 112 108

5-9 243 202 196 166 149 142 131 121 107 104

10-15 241 209 212 204 216 176 202 168 167 157

16-20 301 301 273 263 294 284 302 269 281 274

21-24 253 255 236 227 275 246 266 278 297 290

25-29 338 294 288 305 271 281 296 298 296 317

30-34 424 382 334 311 293 321 268 301 319 298

35-39 471 487 457 419 446 392 377 353 341 341

40-44 461 451 454 462 466 467 475 428 463 429

45-49 406 426 386 406 433 453 421 450 484 506

50-54 294 303 313 333 367 360 359 405 430 427

55-59 245 278 274 263 258 257 310 271 337 307

60-64 254 244 212 207 207 242 243 233 222 260

65-69 243 211 213 189 180 219 204 188 211 202

70+ 931 965 885 807 878 845 777 763 777 702

Unknown 49 49 43 47 46 45 34 41 48 62

Note: Data in this table has been used to create Figure 4-4 in Pedestrian Information.

Table A-16: Pedestrian crash deaths by age group and year

Age Group 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Children (Under 15) 599 540 521 475 446 391 389 366 336 331

Youth (15-24) 606 598 559 539 610 578 621 578 628 602

Young Adults (25-40) 1,327 1,245 1,178 1,129 1,099 1,071 1,033 1,024 1,032 1,022

Adults (41-64) 1,566 1,620 1,540 1,577 1,642 1,702 1,716 1,715 1,860 1,863

Seniors (Over 64) 1,174 1,176 1,098 996 1,058 1,064 981 951 988 904

Unknown Age 49 49 43 47 46 45 34 41 48 62

Note: Data in this table has been used to create Figures 4-5 & 4-6 in Pedestrian Information. 

Table A-17: Pedestrian crash deaths by Hispanic origin and year

Hispanic Origin 1997 1998 1999 2000 2001 2002 2003 2004 2005

Hispanic N/A N/A 654 564 757 722 798 767 867

Non-Hispanic N/A N/A 2,983 2,926 3,211 3,385 3,374 3,117 3,251

Unknown N/A N/A 1,302 1,273 933 744 602 791 774

Note: Data in this table has been used to create Figure 4-7 in Pedestrian Information.
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 53

Table A-18: Pedestrian crash deaths by pedestrian BAC and year

Pedestrian BAC 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

No Alcohol 3,471 3,263 3,064 2,980 3,078 3,039 2,990 2,899 3,101 2,916

.01-.07 179 251 197 217 225 201 194 211 200 219

.08+ 1,671 1,715 1,679 1,567 1,599 1,611 1,590 1,565 1,591 1,649

Note: Data in this table has been used to create Figure 4-8 in Pedestrian Information.

Table A-19: Vehicle drivers in pedestrian crash deaths by sex and year

Driver Sex 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Male 3,417 3,429 3,186 3,101 3,042 3,083 3,052 2,930 3,145 2,993

Female 1,246 1,297 1,226 1,187 1,232 1,171 1,160 1,197 1,124 1,140

Unknown 523 468 453 453 520 493 465 483 552 590

Note: Data in this table has been used to create Figure 5-1 in Driver Information. 

Table A-20: Frequency in pedestrian crash deaths by pedestrian behavior and year

Pedestrian Behavior 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Improper Crossing 1,543 1,526 1,494 1,412 1,386 1,516 1,369 1,159 1,032 1,061

Walking/Riding With or Against Traffic 1,556 1,589 1,426 1,210 1,277 1,193 1,188 1,131 1,023 923

Fail to Yield Right-of-Way 789 707 670 676 686 667 673 729 590 676

Darting or Running Into Road 709 651 648 612 553 586 575 506 551 605

Not Visible 364 417 397 460 463 567 537 522 514 582

Inattentive 170 131 106 122 146 112 119 122 119 122

Fail to Obey Traffic Control 66 67 72 86 93 85 70 78 57 72

Other 243 323 354 321 347 349 406 403 343 448

Unknown 84 83 93 81 92 108 109 130 69 182

None reported 1,304 1,279 1,243 1,324 1,423 1,274 1,299 1,429 1,970 1,615

Note: Data in this table has been used to create Figure 4-10 in Pedestrian Information. 

Table A-21: Vehicle drivers in fatal pedestrian crashes by age group and year

Driver Age Group 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

6-10 0 0 0 0 0 0 0 0 1 1

11-15 12 11 11 6 8 14 11 3 5 6

16-20 586 619 562 569 555 534 510 488 467 465

21-25 703 630 593 538 527 560 539 563 571 605

26-30 575 588 543 516 506 449 453 425 449 450

31-35 524 525 504 493 498 477 454 402 427 365

36-40 506 519 472 456 445 415 448 414 408 373

41-45 442 470 422 392 432 428 433 437 424 409

46-50 367 370 315 345 361 365 350 330 427 384

51-55 267 267 282 270 270 278 263 295 335 304

56-60 175 207 209 219 190 222 214 245 215 274

61-65 123 125 145 138 117 151 136 166 175 184

66-70 111 108 89 103 100 99 119 95 114 91

71-75 106 115 108 100 83 92 101 106 93 75

76-80 63 65 59 50 68 74 76 53 70 61

81-85 31 36 38 34 46 41 41 43 43 37

Over 85 18 15 15 15 18 12 18 24 19 16

Unknown 577 524 498 497 570 536 511 521 578 623

Note: Data in this table has been used to create Figure 5-2 in Driver Information. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 54

Table A-22: Vehicle drivers in fatal pedestrian crashes by survival status and year

Driver Survival Status 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Survived 4,824 4,851 4,523 4,416 4,424 4,392 4,366 4,273 4,431 4,345

Killed 6 15 20 15 13 10 15 16 12 15

Unknown 356 328 322 310 357 345 296 321 378 363

Note: Data in this table has been used to create Figure 5-3 in Driver Information. 

Table A-23: Vehicle drivers in fatal pedestrian crashes by driver BAC and year

Driver BAC 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

No Alcohol 4,047 7,834 7,498 7,052 7,052 3,526 3,526 3,526 3,526 3,526

.01-.07 175 390 329 339 339 169 169 169 169 169

.08+ 529 1,180 973 1,106 1,106 553 553 553 553 553

.01+ 704 1,570 1,302 1,444 1,444 722 722 722 722 722

Note: Data in this table has been used to create Figure 5-4 in Driver Information. 

Table A-24: Pedestrian crash deaths by driver speeding status and year

Driver Speeding Status 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Speeding 502 387 423 338 387 402 444 387 404 360

Not Speeding 4,792 4,817 4,495 4,380 4,467 4,405 4,295 4,256 4,416 4,355

Unknown 28 24 21 46 47 44 36 34 72 69

Note: Data in this table has been used to create Figures 5-5 & 5-6 in Driver Information. 

Table A-25: Frequency of driver behaviors in fatal pedestrian crashes by year

Driver Behavior 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Hit-and-Run Vehicle Driver 830 791 772 696 756 758 745 742 835 809

Driving over Posted Limit or too Fast for Conditions 497 382 409 333 376 393 435 381 396 354

Inattentive 404 341 362 336 350 296 293 255 281 329

Fail to Yield Right-of-Way 388 356 350 356 323 363 402 385 358 324

Fail to keep in Proper Lane 333 264 308 121 137 100 84 200 232 207

Non-Traffic Violation Charged 234 209 215 157 167 138 115 116 93 83

Other Non-Moving Traffic Violation 223 243 257 224 182 201 179 150 165 160

Operating Vehicle in Erratic, Reckless, or Careless Manner 187 176 150 164 176 145 181 176 136 75

Other Drugs N/A N/A N/A N/A N/A N/A 334 371 359 358

Unknown 101 78 95 107 106 94 91 103 146 152

Other 844 883 906 1,009 1,060 1,164 1,300 1,033 969 926

Note: Data in this table has been used to create Figure 5-7 in Driver Information. 

Table A-26: Pedestrian crash deaths by atmospheric condition and year 

Atmospheric Condition 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

No Adverse Condition 4,678 4,583 4,435 4,287 4,366 4,278 4,227 4,113 4,329 4,238

Rain 454 491 373 315 386 406 376 371 390 400

Sleet 24 12 9 12 6 11 10 5 14 5

Snow 52 24 43 50 46 42 46 43 52 20

Fog 54 71 48 36 45 46 53 56 35 43

Other 13 21 10 27 13 34 33 49 44 13

Unknown 46 26 21 36 39 34 29 38 28 65

Note: Data in this table has been used to create Figure 6-1 in Other Crash Information. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 55

Table A-27: Pedestrian crash deaths by light condition and year 

Light Condition 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Daylight 1,742 1,717 1,511 1,509 1,550 1,450 1,423 1,349 1,402 1,224

Dark 1,676 1,618 1,591 1,475 1,531 1,590 1,546 1,537 1,655 1,667

Dark but Lighted 1,659 1,678 1,609 1,597 1,595 1,611 1,621 1,603 1,636 1,623

Dawn 92 83 90 74 85 76 70 76 91 99

Dusk 121 116 121 88 110 106 98 84 87 111

Unknown 31 16 17 20 30 18 16 26 21 60

Note: Data in this table has been used to create Figures 6-2 & 6-3 in Other Crash Information. 

Table A-28: Pedestrian crash deaths by posted speed limit and year 

Posted Speed Limit 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

No Posted Speed Limit 13 17 19 11 9 8 12 13 18 10

Under 30 mph 519 496 480 466 470 481 478 431 455 421

30-39 mph 1,643 1,563 1,483 1,466 1,445 1,350 1,388 1,338 1,345 1,261

40-49 mph 1,225 1,293 1,192 1,088 1,179 1,186 1,127 1,199 1,297 1,272

Over 49 mph 1,715 1,666 1,562 1,549 1,573 1,584 1,491 1,476 1,528 1,498

Unknown 206 193 203 183 225 242 278 218 249 322

Note: Data in this table has been used to create Figure 6-4 & 6-5 in Other Crash Information. 

Table A-29: Pedestrian crash deaths by hit-and-run status and year

Hit-and-Run 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

No Hit-and-Run 4,393 4,344 4,074 3,954 4,016 3,969 3,894 3,795 3,912 3,842

Hit Pedestrian 912 879 850 796 866 866 856 865 955 928

Hit Parked Vehicle or Object 6 2 4 5 5 4 11 2 8 2

Other & Unknown 10 3 11 8 14 12 13 13 17 12

Note: Data in this table has been used to create Figure 6-6 in Other Crash Information. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 56

APPENDIX B 

NASS GES Data 1997-2006 

Table B-1: Pedestrian crashes and crash standard deviation by year 

Year: 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Nonfatal Pedestrian Crashes 79,689 71,109 87,780 80,325 79,722 71,858 71,725 70,153 65,529 62,753

Nonfatal Pedestrian Crash Std. Dev 7,403 7,718 7,185 7,469 5,341 5,290 5,449 4,296 3,831 4,428

Pedestrian Crashes 85,010 76,337 92,719 85,088 84,623 76,709 76,499 74,828 70,421 67,537

Note: 1. Data in this table has been used to create Figures 1-6, 2-3, 3-7, and 3-8. 

 2. Pedestrian Crash = Pedestrian Crash Deaths + Nonfatal Pedestrian Crashes 

Table B-2: Pedestrian crashes by month, 1997-2006 

Month Pedestrian Crash Crash Std. Dev

Jan 68,844 4,652

Oct 71,238 4,206

Dec 72,493 4,375

Other 567,194 37,799

Note: Data in this table has been used to create fatality probabilities in Crash Time. 

Table B-3: Pedestrian crashes by day of week, 1997-2006 

Weekday Pedestrian Crash Crash Std. Dev

Sunday 80,038 5,596

Monday 108,431 7,474

Tuesday 114,895 7,776

Wednesday 120,105 9,003

Thursday 121,422 7,889

Friday 138,117 8,959

Saturday 106,747 5,174

Unknown 16 0

Note: Data in this table has been used to create Figure 3-2 in Crash Time. 

Table B-4: Pedestrian crashes by time of day, 1997-2006 

Time of Day Pedestrian Crash Crash Std. Dev

Midnight to 3 a.m. 36,394 2,634

3 a.m. to 6 a.m. 18,220 1,675

6 a.m. to 9 a.m. 86,180 5,692

9 a.m. to Noon 78,674 4,586

Noon to 3 p.m. 116,216 7,994

3 p.m. to 6 p.m. 190,770 16,579

6 p.m. to 9 p.m. 169,639 11,291

9 p.m. to Midnight 93,386 5,887

Unknown 291 0

Note: Data in this table has been used to create Figure 3-6 in Crash Time. 

Table B-5: Pedestrian crashes by pedestrian sex, 1997-2006

Pedestrian Sex Pedestrian Crash Crash Std. Dev

Male 466,494 27,592

Female 319,108 19,889

Unknown 4,167 1,467

Note: Data in this table has been used to create Figure 4-2 in Pedestrian Information.
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 57

Table B-6: Pedestrian crashes by pedestrian age group, 1997-2006

Pedestrian Age Group Pedestrian Crash Crash Std. Dev

Children (Under 15) 193,102 23,475

Youth (15-24) 139,907 7,952

Young Adults (25-40) 178,308 8,972

Adults (41-64) 179,646 9,097

Seniors (Over 64) 70,162 5,724

Unknown Age 28,646 3,827

Note: Data in this table has been used to create Figure 4-6 in Pedestrian Information.

Table B-7: Pedestrian crashes by alcohol involvement, 1997-2006 

Alcohol Involved Pedestrian Crash Crash Std. Dev

Alcohol Involved 84,300 5,198

No Alcohol Involved 654,166 33,695

Other & Unknown 51,307 12,491

Note: Data in this table has been used to create Figure 4-9 in Pedestrian Information.

Table B-8: Pedestrian crashes by driver speeding status, 1997-2006

Driver Speeding Status Pedestrian Crash Crash Std. Dev

Speeding 581,309 34,503

Not Speeding 80,841 2,621

Unknown 127,654 12,898

Note: Data in this table has been used to create Figure 5-6 in Driver Information 

Table B-9: Pedestrian crashes by atmospheric condition, 1997-2006 

Atmospheric Condition Pedestrian Crash Crash Std. Dev

No Adverse Condition 694,648 41,623

Rain 77,328 6,328

Sleet 556 109

Snow 10,656 1,259

Fog 2,777 532

Other 3,804 1,121

Note: Data in this table has been used to create Figure 6-2 in Other Crash Information 

Table B-10: Pedestrian crashes by light condition, 1997-2006

Light Condition Pedestrian Crash Crash Std. Dev

Daylight 478,199 32,954

Dark 72,696 4,710

Dark but Lighted 196,669 11,047

Dawn 8,403 929

Dusk 25,617 3,025

Unknown 8,184 1,072

Note: Data in this table has been used to create Figure 6-4 in Other Crash Information 

Table B-11: Pedestrian crashes by posted speed limit, 1997-2006 

Post Speed Limit Pedestrian Crash Crash Std. Dev

No Posted Speed Limit 5,438 1,257

Under 30 mph 192,250 36,282

30-39 mph 225,890 18,698

40-49 mph 81,879 7,396

Over 49 mph 48,861 4,256

Unknown 235,449 18,415

Note: Data in this table has been used to create Figure 6-6 in Other Crash Information 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 58

Exposure Data 

Table B-13: Resident Population by State, 1997-2006 

State Name 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Alabama 4,320,281 4,351,037 4,369,862 4,452,375 4,466,618 4,477,571 4,495,089 4,517,442 4,548,327 4,599,030

Alaska 608,846 615,205 619,500 627,533 632,241 640,544 647,747 656,834 663,253 670,053

Arizona 4,552,207 4,667,277 4,778,332 5,166,693 5,300,366 5,445,333 5,582,252 5,745,674 5,953,007 6,166,318

Arkansas 2,524,007 2,538,202 2,551,373 2,678,610 2,691,665 2,706,198 2,723,645 2,746,823 2,775,708 2,810,872

California 32,217,708 32,682,794 33,145,121 34,008,499 34,550,466 35,024,517 35,466,365 35,841,254 36,154,147 36,457,549

Colorado 3,891,293 3,968,967 4,056,133 4,327,409 4,428,562 4,500,122 4,545,957 4,598,507 4,663,295 4,753,377

Connecticut 3,268,514 3,272,563 3,282,031 3,412,539 3,433,201 3,457,927 3,482,326 3,493,893 3,500,701 3,504,809

Delaware 735,024 744,066 753,538 786,505 795,450 805,591 816,861 828,762 841,741 853,476

Dist of Columbia 528,752 521,426 519,000 571,042 577,357 578,907 577,476 579,720 582,049 581,530

Florida 14,683,350 14,908,230 15,111,244 16,050,166 16,354,728 16,682,250 16,981,800 17,366,593 17,768,191 18,089,888

Georgia 7,486,094 7,636,522 7,788,240 8,230,550 8,424,033 8,597,927 8,750,259 8,935,151 9,132,553 9,363,941

Hawaii 1,189,322 1,190,472 1,185,497 1,212,113 1,221,419 1,233,249 1,245,606 1,259,299 1,273,278 1,285,498

Idaho 1,210,638 1,230,923 1,251,700 1,299,811 1,321,446 1,344,266 1,367,428 1,394,524 1,429,367 1,466,465

Illinois 12,011,509 12,069,774 12,128,370 12,440,970 12,524,663 12,595,003 12,649,778 12,713,548 12,765,427 12,831,970

Indiana 5,872,370 5,907,617 5,942,901 6,092,375 6,126,395 6,154,697 6,191,719 6,223,329 6,266,019 6,313,520

Iowa 2,854,396 2,861,025 2,869,413 2,928,703 2,932,151 2,935,295 2,942,070 2,953,679 2,965,524 2,982,085

Kansas 2,616,339 2,638,667 2,654,052 2,692,947 2,702,446 2,714,792 2,727,042 2,738,356 2,748,172 2,764,075

Kentucky 3,907,816 3,934,310 3,960,825 4,049,260 4,067,643 4,088,977 4,114,489 4,140,427 4,172,608 4,206,074

Louisiana 4,351,390 4,362,758 4,372,035 4,469,529 4,463,421 4,470,543 4,480,925 4,495,706 4,507,331 4,287,768

Maine 1,245,215 1,247,554 1,253,040 1,277,483 1,286,419 1,296,817 1,307,151 1,313,921 1,318,220 1,321,574

Maryland 5,092,914 5,130,072 5,171,634 5,311,695 5,379,795 5,441,349 5,506,684 5,553,249 5,589,599 5,615,727

Massachusetts 6,115,476 6,144,407 6,175,169 6,362,604 6,406,727 6,431,247 6,439,592 6,435,995 6,433,367 6,437,193

Michigan 9,785,450 9,820,231 9,863,775 9,956,689 10,003,243 10,038,165 10,068,311 10,093,398 10,100,833 10,095,643

Minnesota 4,687,726 4,726,411 4,775,508 4,934,275 4,985,851 5,024,570 5,059,023 5,094,304 5,126,739 5,167,101

Mississippi 2,731,826 2,751,335 2,768,619 2,848,634 2,856,108 2,863,091 2,874,171 2,892,668 2,908,496 2,910,540

Missouri 5,407,113 5,437,562 5,468,338 5,606,532 5,643,232 5,680,259 5,712,355 5,752,861 5,797,703 5,842,713

Montana 878,706 879,533 882,779 903,531 906,148 910,357 917,193 926,345 934,737 944,632

Nebraska 1,656,042 1,660,772 1,666,028 1,713,426 1,719,315 1,727,040 1,737,017 1,746,980 1,758,163 1,768,331

Nevada 1,675,581 1,743,772 1,809,253 2,018,456 2,095,820 2,169,202 2,241,127 2,332,484 2,412,301 2,495,529

New Hampshire 1,173,239 1,185,823 1,201,134 1,240,664 1,258,408 1,273,970 1,285,918 1,297,961 1,306,819 1,314,895

New Jersey 8,054,178 8,095,542 8,143,412 8,434,216 8,506,516 8,577,514 8,632,553 8,675,879 8,703,150 8,724,560

New Mexico 1,722,939 1,733,535 1,739,844 1,821,656 1,832,783 1,855,353 1,877,598 1,900,620 1,925,985 1,954,599

New York 18,143,184 18,159,175 18,196,601 19,000,135 19,095,604 19,167,600 19,238,252 19,291,526 19,315,721 19,306,183

North Carolina 7,428,672 7,545,828 7,650,789 8,078,909 8,199,541 8,313,494 8,415,710 8,531,040 8,672,459 8,856,505

North Dakota 640,945 637,808 633,666 641,193 636,349 633,649 632,620 635,848 634,605 635,867

Ohio 11,212,498 11,237,752 11,256,654 11,364,401 11,392,043 11,414,537 11,437,908 11,461,347 11,470,685 11,478,006

Oklahoma 3,314,259 3,339,478 3,358,044 3,454,508 3,466,687 3,488,447 3,504,347 3,522,827 3,543,442 3,579,212

Oregon 3,243,254 3,282,055 3,316,154 3,431,530 3,474,183 3,523,529 3,561,155 3,589,168 3,638,871 3,700,758

Pennsylvania 12,015,888 12,002,329 11,994,016 12,286,905 12,295,929 12,321,644 12,351,381 12,377,381 12,405,348 12,440,621

Rhode Island 986,966 987,704 990,819 1,050,836 1,058,510 1,068,568 1,074,783 1,078,930 1,073,579 1,067,610

South Carolina 3,790,066 3,839,578 3,885,736 4,023,565 4,060,728 4,101,122 4,142,356 4,194,694 4,246,933 4,321,249

South Dakota 730,855 730,789 733,133 755,793 758,106 760,291 763,913 770,188 774,883 781,919

Tennessee 5,378,433 5,432,679 5,483,535 5,703,299 5,746,477 5,788,333 5,834,358 5,885,597 5,955,745 6,038,803

Texas 19,355,427 19,712,389 20,044,141 20,951,848 21,357,926 21,762,430 22,134,047 22,517,901 22,928,508 23,507,783

Utah 2,065,397 2,100,562 2,129,836 2,243,490 2,288,374 2,325,921 2,355,785 2,421,500 2,490,334 2,550,063

Vermont 588,665 590,579 593,740 609,986 612,882 616,236 618,616 620,795 622,387 623,908

Virginia 6,732,878 6,789,225 6,872,912 7,104,587 7,192,701 7,285,707 7,375,863 7,472,448 7,564,327 7,642,884

Washington 5,604,105 5,687,832 5,756,361 5,912,036 5,995,397 6,070,176 6,130,323 6,205,535 6,291,899 6,395,798

West Virginia 1,815,588 1,811,688 1,806,928 1,807,528 1,801,411 1,804,146 1,808,660 1,810,906 1,814,083 1,818,470

Wisconsin 5,200,235 5,222,124 5,250,446 5,374,747 5,404,733 5,438,527 5,466,929 5,498,807 5,527,644 5,556,506

Wyoming 480,031 480,045 479,602 494,166 494,067 498,973 501,490 505,534 508,798 515,004

Source: Census Bureau released yearly on July 1. Note: Data in this table and Table A-6 have been used to create Figure 2-3. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 59

Table B-12: Hispanic or Latino population and total U.S. population by year 

Year: 2000 2001 2002 2003 2004 2005 

Total Population at Survey Time 273,643,273 277,017,622 280,540,330 282,909,885 285,691,501 288,378,137

Hispanic or Latino 34,474,440 36,200,781 37,872,475 39,194,837 40,459,196 41,870,703

Data Source: U.S. Census Bureau

Note: Data in this table has been used to create Figure 4-7 in Pedestrian Information 

Table B-14: Total crash fatalities, total crashes, and vehicle miles traveled by year 

Year: 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 

Total Crash Fatalities 42,013 41,501 41,717 41,945 42,196 43,005 42,884 42,836 43,510 42,642

Total Motor Vehicle Crashes 6,624,324 6,335,107 6,279,140 6,393,526 6,322,862 6,315,491 6,328,477 6,181,444 6,159,252 5,973,588

Vehicle Miles Traveled (Unit: Billions) 2,562 2,632 2,691 2,747 2,797 2,856 2,890 2,965 2,989 3,014 

Sources: Traffic Safety Facts 2006, DOT HS 810 818, NHTSA, US DOT, 

Note: Data in this table has been used to create Figures 1-1, 1-3, 1-4, 1-6, 2-3, 2-4, 2-6, and 2-7. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 60

APPENDIX C 

NHTSA Operation Regions 

Figure C-1: NHTSA Operation Regions Map 

Table C-1: States included in NHTSA operation regions 

Region # Region Name States in the Region 

1 New England Region Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont 

2 Eastern Region New Jersey, New York, Pennsylvania, Puerto Rico, and Virgin Islands 

3 Mid Atlantic Region Delaware, District of Columbia, Kentucky, Maryland, North Carolina, Virginia, and West Virginia

4 Southeast Region Alabama, Florida, Georgia, South Carolina, and Tennessee 

5 Great Lakes Region Illinois, Indiana, Michigan, Minnesota, Ohio, and Wisconsin 

6 South Central Region Louisiana, Mississippi, New Mexico, Oklahoma, Texas, and Bureau of Indian Affairs 

7 Central Region Arkansas, Iowa, Kansas, Missouri, and Nebraska 

8 Rocky Mountain Region Colorado, Nevada, North Dakota, South Dakota, Utah, and Wyoming 

9 Western Region Arizona, California, Hawaii, and Pacific Territories 

10 Pacific Northwest Region Alaska, Idaho, Montana, Oregon, and Washington 

Source: National Highway Traffic Safety Administration 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 61

APPENDIX D 

References 

1. A Compendium of NHTSA’s Pedestrian and Bicyclist Traffic Safety Research Projects 

1969-2007. Technical Report, DOT HS 810 793. July 2007. Washington, DC: National 

Highway Traffic Safety Administration. 

2. National Survey of Pedestrian & Bicyclist: Attitudes and Behaviors (Highlights Report). 

U.S. Department of Transportation, 2003. 

3. Highlights of the 2001 National Household Travel Survey, Bureau of Transportation 

Statistics, U.S. Department of Transportation, 2003. 

4. Motor Vehicle Traffic Crash Fatality Counts and Estimates of People Injured for 

Distributions for 2006. Technical Report, DOT HS 810 837. September 2007. 

Washington, DC: National Highway Traffic Safety Administration. 

5. Estimates of Motor Vehicle Traffic Crash Fatalities and People Injured 2006 Projections.

Technical Report, DOT HS 810 755. May 2007. Washington, DC: National Highway 

Traffic Safety Administration. 

6. Fitzpatrick, K. Improving Pedestrian Safety at Unsignalized Crossings. New Cooperative 

Research Programs Report. TR News 251 July-August 2007 

7. Pedestrian Roadway Fatalities. Technical Report, DOT HS 809 456. April 2003. 

Washington, DC: National Highway Traffic Safety Administration. 

8. FARS Analytical Reference Guide 1975 to 2006, User Manual. DOT HS 810 605. May 

2006. Washington, DC: National Highway Traffic Safety Administration. 

9. A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System 

and the General Estimates System. Traffic Safety Facts 2006, DOT HS 809 484. 

Washington, DC: National Highway Traffic Safety Administration. 

10. A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System 

and the General Estimates System. Traffic Safety Facts 2005, DOT HS 810 631. 

Washington, DC: National Highway Traffic Safety Administration. 

11. Traffic Safety Facts 2004. DOT HS 809 919. Washington, DC: National Highway Traffic 

Safety Administration. 

12. Pedestrian and Bicyclist Intersection Safety Indices: Final Report. FHWA HRT 06 125. 

2006. Washington, DC: Federal Highway Administration. 

13. Child Pedestrian Fatality Rates by Striking Vehicle Body Type. Traffic Safety Facts, 

Research Note, DOT HS 809 640. September 2003. Washington, DC: National Highway 

Traffic Safety Administration. 

14. Pedestrians 2005 Data. Traffic Safety Facts, DOT HS 810 624. 2006. Washington, DC: 

National Highway Traffic Safety Administration. 

15. Pedestrians 2004 Data. Traffic Safety Facts, DOT HS 809 913. 2005. Washington, DC: 

National Highway Traffic Safety Administration. 

16. Pedestrians 2003 Data. Traffic Safety Facts, DOT HS 809 769. 2004. Washington, DC: 

National Highway Traffic Safety Administration. 

17. Pedestrians 2002 Data. Traffic Safety Facts, DOT HS 809 614. 2003. Washington, DC: 

National Highway Traffic Safety Administration. 

18. Pedestrians 2001 Data. Traffic Safety Facts, DOT HS 809 478. 2002. Washington, DC: 

National Highway Traffic Safety Administration. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 62

19. Volume 10: A Guide for Reducing Collisions Involving Pedestrians, Guidance for 

Implementation of the AASHTO Strategic Highway Safety Plan. NCHRP Report 500. 

2004. Washington, DC: Transportation Research Board of the National Academies. 

20. National Survey of Pedestrian & Bicyclist: Attitudes and Behaviors Highlights Report. 

2002. National Highway Traffic Safety Administration & Bureau of Transportation Statistics. 

21. Ragland, D.R., Markowitz, F., & MacLeod, K.E. An Intensive Pedestrian Safety 

Engineering Study Using Computerized Crash Analysis. December 2003. Berkley, CA: 

Institute of Transportation Studies, UC Berkeley Traffic Safety Center. 

22. Journey to Work: 2000, Census 2000 Brief. March 2004. U.S. Census Bureau, 

Washington, DC: Economics and Statistics Administration. 

23. Accessible Pedestrian Signals: Synthesis and Guide to Best Practice. No. 278. July 

2003. Research Results Digest, National Cooperative Highway Research Program. 

Washington, DC: Transportation Research Board of the National Academies. 

24. Blomberg, R., Jordan, G., Killingsworth, R., & Konheim, C. Pedestrian Transportation: A 

Look Forward, Transportation in the New Millennium. Washington, DC: Transportation 

Research Board of the National Academies. 

25. Isenberg, R.A., Chidester, A.B., & Mavros, S. Update on the Pedestrian Crash Data 

Study Paper No.: 98-S6-O-05. DOT/Volpe National Transportation Systems Center, 

1996, pp 1212-1225. 

26. Jaskiewicz, F. Pedestrian Level of Service Based on Trip Quality TRB Circular E-C019. 

Urban Street Symposium, 1998, pp G-1/1 - G-1/14. 

27. PBCAT-Pedestrian and Bicycle Crash Analysis Tool Version 2.0, Tech Brief. FHWAHRT-06-090. June 2006. Washington, DC: Federal Highway Administration. 

28. Espino, E.R., Gonzalez, J.S., & Gan, A. Identifying Pedestrian High-Crash Locations as 

Part of Florida’s Highway Safety Improvement Program: A Systematic Approach. Paper 

No. 03-4414. Transportation Research Record 1828, pp 83-84. 

29. Status Report, Special Issue: Pedestrian Injuries, Insurance Institute for Highway Safety, 

Vol. 34, No. 3, March 13, 1999. 

30. Status Report, Vol. 35, No. 5. Insurance Institute for Highway Safety, May 13, 2000, pp 2-6. 

31. Status Report, Vol. 35, No. 9. Insurance Institute for Highway Safety, October 21, 2000, p 6. 

32. Status Report, Vol. 37, No. 3. Insurance Institute for Highway Safety, March 16, 2002, p 7. 

33. Status Report, Vol. 39, No. 6. Insurance Institute for Highway Safety, July 3, 2004, pp 4-5. 

34. Clifton, K.J., & Krizek, K.J. The Utility of the NHTS in Understanding Bicycle and 

Pedestrian Travel, NHTS-Bicycle and Pedestrian Travel, Nov 1, 2004, pp 1-17. 

35. Improving Pedestrian Access to Transit, An Advocacy Handbook. WalkBoston, 1998. 

36. Transitioning to Multiple Imputation - A New Method to Impute Missing Blood Alcohol 

Concentration (BAC) values in FARS Technical Report, DOT HS 807 403. October 2002. 

Washington, DC: National Highway Traffic Safety Administration. 

37. America by the Numbers, Time, Time Inc., October 2006. 

38. Pulugurtha, S.S., Krishnakumar, V.K., & Nambisan, S.S. New methods to identify and 

rank high pedestrian crash zones: An illustration. Accident Analysis and Prevention, Vol. 

39, July 2007, pp 800-811. 

39. Lassarre, S., Papadimitriou, E., Yannis, G., & Golias, J. Measuring accident risk 

exposure for pedestrians in different micro-environments. Accident Analysis and 

Prevention, Vol. 39, November 2007, pp 1226-1238. 
NHTSA’s National Center for Statistics and Analysis, 1200 New Jersey Avenue SE., Washington, DC 20590 63

40. Minino, A.M., Heron, M.P., Murphy, S.L., & Kochanek, K.D. Deaths: Final Data for 2004.

National Vital Statistics Reports, Vol. 55, No. 19, August 21, 2007. 

41. Trend and Pattern Analysis of Highway Crash Fatality by Month and Day. Technical 

Report, DOT HS 809 855. March 2005. Washington, DC: National Highway Traffic 

Safety Administration. 

42. Vasudevan, V., Pulugurtha, S. S., & Nambisan, S. Methods to Prioritize Pedestrian HighCrash Locations and Statistical Analysis of Their Relationships. Transportation Research 

Record: Journal of the Transportation Research Board, No. 2002, 2007, pp 39-54. 

43. Siddiqui, N. A., Chu, X., & Guttenplan, M. Crossing Locations, Light Conditions, and 

Pedestrian Injury Severity. Transportation Research Record: Journal of the 

Transportation Research Board, No. 1982, 2006, pp 141-149. 

44. Geyer, J., Raford, N., Pham, T., & Ragland, D. R. Safety in Number, Data from Oakland, 

California. Transportation Research Record: Journal of the Transportation Research 

Board, No. 1982, 2006, pp 150-154. 

DOT HS 810 968 

June 2008