louann hall chief, information services branch barry d. eisemann it manager, state data division

Louann HallChief, Information Services Branch

Barry D. EisemannIT Manager, State Data Division

NCSANational Center for Statistics and Analysis

National Highway Traffic Safety Administration

July 31, 2006

Traffic Records ForumPalm Desert, California

NATIONAL CENTER FOR STATISTICS & ANALYSIS

“Accessing and Using NHTSA Data Products”

National Highway Traffic Safety Administration

National Center for Statistics & Analysis

Agenda:

NCSA Overview

NCSA Products

Contacting & Obtaining Traffic Safety Information

Hands-On Training – FARS Web Reports

WHAT WE DO:

Collect

Analyze


Disseminate

Data Systems

Fatality Analysis Reporting System ALL Fatal Crashes 1975 to Present


4

Data Sources– Police Crash Reports– State Vehicle Registration Files– State Driver Licensing Files– State Highway Department Data– Vital Statistics– Death Certificates– Coroner/Medical Examiner Reports– Hospital Medical Records– Emergency Medical Services Reports

Data Systems

General Estimates System

Crashworthiness Data System

SAMPLE of ALL Crash Severities Since 1988 PAR Data

SAMPLE of ALL Crash Severities In-depth Investigations


4

Special Crash Investigations (SCI)

• In-depth investigations on a limited number of crashes

• Operations– Three (3) elite rapid response teams– Located in the East, Midwest and West


National Driver RegisterNational Driver Register

• Problem Driver Pointer System (PDPS)– National database of identification data for

problem drivers

• Purpose – To improve traffic and transportation safety


National Occupant Protection Use National Occupant Protection Use Survey (NOPUSSurvey (NOPUS))

• Tracks Occupant Restraint UseTracks Occupant Restraint Use

• Moving TrafficMoving Traffic

• Controlled IntersectionControlled Intersection


Examples of Uses of NOPUS DataExamples of Uses of NOPUS Data

• State safety belt and child State safety belt and child restraint lawsrestraint laws

• DOT cell phone policyDOT cell phone policy• Calculate number of lives saved Calculate number of lives saved

due to safety belt usagedue to safety belt usage


14 Annual Fact Sheets

• OVERVIEW FACT SHEET

– 10 years of trend data

– Data on high interest program areas• ALCOHOL STATE ESTIMATES• STATE TRAFFIC DATA• ALCOHOL• OCCUPANT PROTECTION• SPEEDING• MOTORCYCLES• LARGE TRUCKS• SCHOOL BUS• PEDESTRIANS• PEDALCYCLISTS• OLDER POPULATION• YOUNG DRIVER• CHILDREN 5

NEED DATA?NEED DATA?

Call: 800-934-8517Call: 800-934-8517

Data/Info Requests Data/Info RequestsFax-On-DemandFax-On-Demand

NCSA Web Site www.nhtsa.dot.gov/people/ncsa

NCSA Web Site www.nhtsa.dot.gov/people/ncsa

14 Annual Fact Sheets

CHAPTERS- Trends- Crashes- Vehicles- People- States

“Did You Know?”

1

National Statistics

1

Latest Publications

1

“Did You Know?” Archive

1


2

States


3

“Did You Know?” Archive - States

3

Navagation Sidebar

3

Acronyms

4

Terms

5

Fatal Crashes

Fatalities & Fatality Rates

Trends 1994-2004

7

Vehicles Involved in Fatal Crashes, 1994-2004

Passenger Cars Light Trucks Large Trucks Motorcycles

9

Persons Killed by Person Type & Vehicle Type, 1994-2004

Occupants by Vehicle Type Nonmotorists

9

Passenger Car Occupants Killed …, 1994-2004

11

Passenger Car Occupants Killed …, 1994-2004

1994 - 21,9972004 - 19,091

Light Truck Occupants Killed …, 1994-2004

1994 - 8,9042004 - 12,602

Registrations

59,485,99585,657,140

11

Persons Killed by Highest BAC…, 1994-2004

Alcohol Related Fatalities2004 - 39%

13

Restraints Used1994 - 49.1%2004 - 60.6%

Drivers … by Restraints Used…, 1994-2004

15

Fatal Crashes by Time of Day & Day of Week

17

Fri, 6-9PM – 1,013Fri, 9-midnite – 1,070


Sat, 6-9PM – 997Sat, 9-midnite – 1,108

Sat, midnite-3AM – 1,174

18

18



Fri, 6-9PM – 1,012Fri, 9-midnite – 1,139

Sat, 6-9PM – 1,050Sat, 9-midnite – 1,013

FARS - 1994

Sat, midnite-3AM – 1,293

18


FARS - 1994

Fatal Crashes by Weather & Light Conditions

1994

18

1994

20

Drivers with Valid Licenses & NO Previous Convictions – 79.7%

1994

21

21

2004

Drivers with Valid Licenses & NO Previous Convictions – 66.2%

2004

1994 ––––––––––––––––––––––––– 79.7%

22

Fatalities & Fatality Rates, 1994-2004

Maryland

by Population Licensed Drivers Veh Registrations by VMT

24

Drivers in Fatal Crashes by State & BAC - 2004

26

Drivers in Fatal Crashes by State & BAC – 2004Massachusetts Counties

27

Understanding the Data

01 Driver 02 Passenger 03 Occupant of MV not in Transport 04 Occupant of non-MV Transport Device 05 Pedestrian 06 Bicyclist 07 Other Cyclist 08 Other Pedestrians 09 Unknown Occupant 19 Unknown Type of non-Motorist

MOTORVEHICLEOCCUPANTS

PERSON TYPE

Understanding the Data

00 None Used 01 Shoulder Belt 02 Lap Belt 03 Lap & Shoulder Belt 04 Child Safety Seat 05 Motorcycle Helmet 06 Bicycle Helmet 13 Safety Belt Used Improperly 14 Child Safety Seat Used Improperly 15 Helmets Used Improperly 08 Restraint Used, Type Unknown 99 Unknown

RESTRAINT USE

RESTRAINED

U.S. Fatality RatesU.S. Fatality Rates

Colorado Fatality RatesColorado Fatality Rates

FARS FTPServer

FARS FTPServer

FARS Web EncyclopediaCreate A Query

Lesson Plan

Query Report TypesExample 1. Case Listing Report

Sorting ReportCode DefinitionsView Case Reports

Example 2. Univariate ReportsView CasesSave FileImport into Spreadsheet

Example 3. Cross Tabulation ReportExample 4. Cross Tabulation Report

Grouping Display Variable

Create Query

• Unlimited Reporting

• User Creates Report

• Skills Required

• Popular Reports

• NHTSA Prepared

• All Users

Reports

Create a Query - Report Types

• Univariate: Count number by one variable

• Case Listing: list all cases for certain variables

• Cross Tab: Count number by two

variables

UNIVARIATE QUERY

CASE LISTING

CROSS TABULATION

Query/Report Types

Query/Report Types

Case Listing: view specified cases for certain variables

- Example 1: List all Rhode Island cases in 2002, include Month, County, Trafficway ID

- Example 2: List the Drivers with Suspended Licenses in fatal crashes Delaware in year 2000, include Drivers Ages and Violations Charged

Query/Report Types

Case Listing: list all cases include specified variables

Example 1: VIEW 2002 Rhode Island Cases, include: Crash Month, County, Trafficway ID

Query/Report Types STEPS

List specified cases, include certain variables

Steps1. Select year2. Select variables3a. Select condition criteria b. Select Report Type (CASE LISTING)4. Select Display variables

2002 RI Cases include Crash Month, County & TrafficwayID

Rhode Island 2002STEPS1. Year: 20022. Variables: Crash

MonthCountyTrafficway

ID3a. Condition Criteria:

State Rhode Island

3b. Report Type: CASE LISTING

4. Display Variables Crash Month

County

TrafficwayID

Case Listing Query Example 1

Rhode Island 2002

Case Listing Query2002 RI Cases include Crash Month, County & TrafficwayID

Step 1. Select Year

STEPS

1. Year: 20022. Variables: Crash



State Rhode Island



County

TrafficwayID

Example 130

Rhode Island 2002

Example 1


Case Listing Query Step 2. Select Variables

STEPS




State Rhode Island



County

TrafficwayID

Rhode Island 2002

Example 1


Condition VariablesStateYear

Display VariableCountyCrash MonthTrafficwayID


Rhode Island 2002



31Example 1

STEPS




State Rhode Island



County

TrafficwayID

Rhode Island 2002


3a. Select Condition Criteria

3b. Select Report Type

Example 1

Case Listing Query Step 3a. Condition CriteriaStep 3b. Report Type

32

STEPS1. Year: 20022. Variables: Crash



State Rhode Island



County

TrafficwayID

Rhode Island 2002

Example 1


Case Listing Query Step 4. Display Variables

33

Rhode Island 2002


Example 1

SORTINGCase Listing Query

34

Rhode Island 2002


Example 1

Case Listing Query SORTING

ASCENDING

35

Rhode Island 2002


Example 1

CODE DEFINITIONSCase Listing Query

35

CODE DEFINITIONS

Example 1

Case Listing Query

36

VIEW CASE REPORT

Example 1

Rhode Island 2002


Case Listing Query

37


Example 1

VIEW CASE REPORTCase Listing Query

38

UNIVARIATE QUERY

CASE LISTING

CROSS TABULATION

Query/Report Types

Univariate: Count number by one variable

– Example 1: Fatal crashes in U.S. by Month

– Example 2: Fatalities in Rhode Island by Month

– Example 3: Fatalities by Day of the Week

– Example 4: Motorcycle Driver Fatalities by Holiday

– Example 5: 4 to 17 Year Old Pedestrian Fatalities occurring between 8AM and 3PM by County

Query/Report Types

• Univariate: Count number BY one variable

Query/Report Types Example 2

Display number of fatalities BY one variableSteps:

1. Select year2. Select variables3a.Select condition criteria3b.Select Report Type (Univariate)4. Select one variable to count

Select optionsSubmit

Univariate Query/ReportExample 2

Display number of Fatalities BY Crash Month

1. Year: 2000

2. Variables: State

Crash Month

Injury Severity

3a. Condition Criteria:

State Rhode Island

Injury Severity Fatally Injured

3b. Select Report Type UNIVARIATE

4. Select variable to count: Crash Month

Select options Count Persons

Submit


Example 2

Step 1. Select YearUnivariate Query

40

Example 2

Step 2. Select VariablesUnivariate Query

Display VariableCrash Month

Condition VariablesStateYearInjury Severity

V

V

Example 2

Step 2. Select VariablesUnivariate Query

41

3a. Select condition criteria


Univariate Query Step 3a. Condition CriteriaStep 3b. Select Report Type

42

Univariate Query Step 4. Format Options

Example 2

43

Univariate Query Final Report

Example 244

UNIVARIATE QUERY- View Cases

Query/Report Types

Univariate Query View Cases

Example 244

Univariate Query View Cases

Example 2

45

UNIVARIATE QUERY- Save File- Import to Excel

Query/Report Types

Exporting a Report

1. Click Save As Text

2. Save document on your PC drive.

Importing into Excel

3. Open MS Excel

4. Open saved file (.cfm extension)

5. Format Report

Univariate Query Save File

Example 2

48

Univariate Query Save File

Example 248

Univariate Query Import into Excel

Example 248

Example 2

Univariate QueryImport into Excel

Example 2

48

Example 2

Univariate Query Import into ExcelExample 2

1

2

3

48

Univariate Query Import into ExcelExample 2

48

Example 2

Univariate QueryImport into Excel

48

UNIVARIATE QUERY

CASE LISTING

CROSS TABULATION

Query/Report Types

Cross Tab: Count number by two variables

Query/Report Types Example 3

Cross Tab: Count number by two variables

Univariate: Count number by one variable

Query/Report Types

Display number of Fatalities BY Month & County1. Year: 2000

2. Variables: State

Crash Month

Injury Severity

County

3a. Condition Criteria:

State Rhode Island

Injury Severity Fatally Injured

3b. Select Report Type Cross Tab

4. Select variable to count: Crash Month

County

Select options Count Persons

Submit


Step 1. Select YearCross Tab Query

Example 349

Condition VariablesStateYearInjury Severity

Display VariableCrash MonthCounty

Example 3

Step 2. Select VariablesCross Tab Query

V

V

V

Example 3

Step 2. Select VariablesCross Tab Query

50

Condition Variables Condition ValuesState Rhode IslandYear 2000Injury Severity Fatal Injury

Step 3a. Condition Criteria

Example 3

Cross Tab Query



Step 3a. Condition CriteriaStep 3b. Report Type

Example 3

Cross Tab Query

51

Step 4. Format Options

Example 3

Cross Tab Query

52

Final Report

Example 3

Cross Tab Query

53

Exam

Query/Report Types

Example 4

Colorado 2001: Occupant Fatalities BY Day-of-Week & Crash Hour

01 Driver 02 Passenger 03 Occupant of MV not in Transport 04 Occupant of non-MV Transport Device 05 Pedestrian 06 Bicyclist 07 Other Cyclist 08 Other Pedestrians 09 Unknown Occupant 19 Unknown Type of non-Motorist

MOTOR

VEHICLE

OCCUPANTS

PERSON TYPE

Example 4

Example 4

Condition VariablesStateYearPerson TypeInjury Severity

Display VariableDay-of-WeekCrash Hour

Step 2: Select Variables

V

V

V

VExample 4

STEP 3a: Choose Condition Criteria

Condition Variables Condition ValuesState ColoradoYear 2001Person Type Driver

PassengerUnknown Occupant

Injury Severity Fatal Injury

Example 4



Example 4

CROSS TABULATION

• Grouping Format Option

Query/Report Types

Example 4

Example 4

Example 4

Questions?

louann hall chief, information services branch barry d. eisemann it manager, state data division

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