1
ANATOMY OF BROWN COUNTY: A TRAFFIC SAFETY SUMMARY
DID YOU KNOW…
An individual is killed or seriously injured in a crash in Brown County every 3 ½ days?
2
THE PLACE
Section Summary
Brown County is the center of a metropolitan area with a population of over 300,000 persons. Principal routes include USH 41, I-43, STH 172 east of I-41, STH 57, and STH 29 east of I-43 and west of STH 57. The county is in the top ten counties for VMT, miles of roads, miles of local roads, and number of registered vehicles. The county is in the bottom ten counties for miles of highway per VMT, miles of highway per capita, miles of state highways per VMT, miles of state highways per capita, miles of county highways per capita, and miles of local roads per capita. Brown County is among the top ten counties for urban population, urbanized area, percent of the county’s population that is urban, and percent of the county’s area that is urban.
Urbanization Brown County is the center of the Green Bay metropolitan area, and it is adjacent to the Appleton metropolitan area and the Shawano and Manitowoc urban clusters. The county population is largely urban, with 85.51% of Brown County residents living in urban areas. 20.35% of the area of the county is urban.1 The Oneida Nation of Wisconsin is also located in western Brown County and neighboring Outagamie County. Road Network The northern terminus of Interstate Highway 43 is in the village of Howard. I-43 carries traffic along the coast of Lake Michigan to Milwaukee via Manitowoc and Sheboygan. Within Brown County, it travels through Green Bay, Bellevue, and Denmark. I-41 begins at the same point as I-43, and heads south toward Appleton and Oshkosh via Green Bay, Ashwaubenon, and De Pere. United States Highway (USH) 41 is concurrent with I-41. North of Howard, USH 41 travels through Suamico on its way to Oconto and Marinette. USH 141 begins south of Bellevue at I-43 and runs north, carrying traffic to Iron Mountain, Michigan, via Bellevue, Green Bay, Howard, and Suamico. In Green Bay, USH 141 travels along Main Street, Dousman Street, N Broadway, Mather Street and Velp Avenue. USH 141 is concurrent with US 41 through Howard and Suamico. To the north of Green Bay, State Trunk Highway (STH) 57 is an expressway carrying traffic toward Sturgeon Bay. While in Green Bay, STH 57 runs along Monroe Avenue and University Avenue. To the south, STH 57 travels through Allouez and De Pere on its way to Chilton. STH 57 is concurrent with STH 32 entering the county from the south to De Pere, in which it diverges from STH 32. STH 32 travels north through Ashwaubenon, Green Bay, Howard, Hobart, and Pulaski.
1 United States Census Bureau. “Percent urban and rural in 2010 by state and county.” Accessed Sept. 29, 2017. https://www.census.gov/geo/reference/ua/urban-rural-2010.html
3
To the west of I-41, STH 29 is an expressway that carries traffic west toward the Wausau, Eau Claire, and the Minneapolis-St. Paul areas. East of I-41, STH 29 travels through downtown Green Bay and then through Bellevue on its way to Kewaunee. STH 29 and STH 32 are co-signed west of I-41 through Howard the along the village boundary of Hobart. STH 172 is a freeway from I-43 in Bellevue to I-41 in Ashwaubenon. To the west of I-41, STH 172 travels by the Austin Straubel International Airport located in Hobart and Ashwaubenon. STH 54 travels through Hobart and Green Bay. To the west, it travels to Black Creek, New London, and Waupaca, and to the west it carries traffic toward Luxemburg and Algoma. STH 96 begins at I-43 in Denmark and travels west through Wrightstown toward Kaukauna. STH 160 begins at STH 32 in Pulaski and heads west toward STH 29. Miles of Roadway There are 2,335 miles of roadway in the county, including 185 (7.9%) miles of state roads, 361 (15.5%) miles of county roads, 1,784 (76.4%) miles of local roads, and five miles of another type.2 Vehicle Registrations and Vehicle Miles of Travel (VMT) In 2016, there were 96,325 autos, 15,007 cycles, 27,216 trailers, and 129,413 trucks registered in Brown County.3 VMT in 2016 was 2,516,634,485.4
2 Wisconsin Department of Transportation. “County Maps.” Accessed Sept. 29, 2017. http://wisconsindot.gov/Pages/travel/road/hwy-maps/county-maps/default.aspx 3 Wisconsin Department of Transportation. “Facts and Figures 2016, Vehicles Registered by County.” Accessed Nov. 6, 2017. http://wisconsindot.gov/Documents/about-wisdot/newsroom/statistics/factsfig/vehregcounty.pdf 4 Wisconsin Department of Transportation. “2016 Vehicles Miles of Travel (VMT) by County.” Accessed Nov. 6, 2017. http://wisconsindot.gov/Documents/projects/data-plan/veh-miles/vmt2016-c.pdf
FIGURE 1: TRAFFIC VOLUME ON THE STATE TRUNK NETWORK BROWN COUNTY, WI
0 73.5Miles
Traffic Volume (Measured in Daily Vehicle-Miles Traveled)
0 - 1010210103 - 2020320204 - 3030530306 - 4040640407 - 5050850509 - 6060960610 - 7071170712 - 80812
Map produced by Evan MoormanBureau of Transportation Safety (BOTS)Data from the Wisconsin DOT w/basemaps from ESRI (2017)
5
Inter-County Commuting Flows
As seen below in Figure 2, the vast majority of workers who reside in Brown County also work in Brown County, and vice versa.
FIGURE 2: COMMUTING FLOWS AMONG COUNTIES
Workers who Reside in Brown County Work in: People who Work in Brown County Reside in:
Brown County 112,914 Brown County 112,914 Outagamie County 4,334 Outagamie County 8,050 Kewaunee County 1,624 Oconto County 7,471 Winnebago County 1,205 Kewaunee County 3,271 Manitowoc County 1,156 Shawano County 2,771 Calumet County 609 Manitowoc County 1,858 Oconto County 518 Winnebago County 1,320 Shawano County 428 Calumet County 1,309 Door County 398 Marinette County 877 Marinette County 292 Door County 862 Sheboygan County 261 Waupaca County 311 Milwaukee County 175 Sheboygan County 257 Dane County 121 Milwaukee County 192 Marathon County 168 Dane County 105 Others 1,271 Others 3,014
5
5United States Census Bureau. 2009-2013 5-Year American Community Survey Commuting Flows. https://www.census.gov/data/tables/time-series/demo/commuting/commuting-flows.html Accessed Sept. 29, 2017.
6
Commuting Flows between Municipalities (Top 15)
As seen below in Figure 3, the most common commuting flow between two different municipalities is from a residence in Green Bay to a place of work in Ashwaubenon.
FIGURE 3: COMMUTING FLOWS BETWEEN MUNICIPALITIES (TOP 15)
Residence Place of Work Number
Green Bay Ashwaubenon 8,077
Howard Green Bay 3,814
Bellevue Green Bay 3,533
De Pere Green Bay 3,219
Green Bay De Pere 3,145
Ashwaubenon Green Bay 2,772
Allouez Green Bay 2,719
Suamico Green Bay 2,381
Green Bay Howard 2,044
Green Bay Bellevue 2,043
De Pere Ashwaubenon 1,991
Howard Ashwaubenon 1,700
Ledgeview (Town) Green Bay 1,210
Green Bay Allouez 1,169
Hobart Green Bay 954 6
6 United States Census Bureau. 2009-2013 5-Year American Community Survey Commuting Flows. https://www.census.gov/data/tables/time-series/demo/commuting/commuting-flows.html Accessed Oct. 5, 2017.
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THE POPULATION The population of Brown County—about 257,000 individuals—is dispersed over almost 24 jurisdictions (the largest city in the county, the city of Green Bay, comprises about 40% of this total with a population of 105,000).
FIGURE 4: POPULATION OF BROWN COUNTY MUNICIPALITIES (2016)
With only a few exceptions, most jurisdictions in the county—including the largest city of Green Bay—are gaining population, with most places experiencing relative increases of between 2 and 10% (in the images, the measure of absolute population change merely shows the raw population changes between 2010 and 2016, while the measure of relative population change weights such absolute changes by the base population figures of 2010).7 No clear geographical pattern emerges regarding population change, with growth spread fairly evenly through the county.
7 The highlighted jurisdiction in the image shows the two jurisdictions that are growing fastest and the two jurisdictions growing the slowest.
City of De Pere, 24,893 City of Green Bay,
105,139
Town of Eaton, 1,591
Town of Glenmore, 1,139
Town of Green Bay, 2,104
Town of Holland, 1,561 Town of …
Town of Lawrence, 5,037 Town of Ledgeview, 7,813
Town of Morrison, 1,610
Town of New Denmark, 1,571
Town of Pittsfield, 2,731 Town of Rockland, 1,822
Town of
Scott, 3,738
Town of Wrightstown, 2,294
Village of Allouez, 13,896
Village of Ashwaubenon, 17,274
Village of Bellevue, 15,524
Village of Denmark, 2,210
Village of Hobart, 8,599
Village of Howard, 19,410
Village of Pulaski, 3,330
Village of Suamico, 12,588
Village of Wrightstown, 3,179
8
FIGURE 5 8: POPULATION PYRAMIDS (BROWN COUNTY ABOVE AND STATE BELOW)
Population Trends
Between 2010 and 2016, the county’s population increased slightly (by about 3.2%). Overall, the population of Brown County is somewhat younger than the state (the median age of the county is 36.8, while the comparable figure for the state is 39). In comparison to the state, the county is home to a somewhat higher percentage of children and teenagers and a lower percentage of elderly individuals.
8 United States Census Bureau. “Selected Economic Characteristics DP03, Employment Status.” 2012-2016 American Community Survey 5-Year Estimates. https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_15_5YR_DP03&src=pt Accessed November 6th, 2017.
VillageofAshwaubenon,1.8%
Village of Allouez,
-0.6% Village ofBellevue, 6.5%
Village of Denmark, 4.1%
City of De
Pere, 4.6
% Town ofEaton, 5.5%
Town ofGlenmore, 0.4%
CityofGreenBay,1%
Town
ofGr
een
Bay,
3.4%
Vill a
geof
H oba
r t,39
. 1%
To w n o fH o l l a n d , 2 . 8 %
Village ofHoward, 11.6%
Town ofHumboldt, 2.8%
Town ofLawrence, 17.6%
Town ofLedgeview, 19.2%
Town ofMorrison, 0.7%
Town of NewDenmark, 1.9%
Town ofPittsfield, 4.7%
Village of Pulaski, 0.3%
TownofRockland,5.1%
Townof
Scott,5
.4%
Village ofSuamico, 10.9%
Village of Wrightstown,
18.8%Town of
Wrightstown, 3.3%
FIGURE 6: ABSOLUTE AND RELATIVE POPULATION CHANGES BROWN COUNTY MUNICIPALITIES (2010-2016)
Produced by E. Moorman, Bureau of Transportation Safety and the Division of State Patrol, Data from ESRI and the US Census Bureau, 2016
0 10 205Miles
Relative Population Changes
Lowest
Highest
Absolute Population Changes
Lowest
Highest
Village of Allouez, -79Village of
Ashwaubenon, 311
Village of Bellevue, 954
Village of Denmark, 87
City of De Pere,
1,093
To w n o fE a to n , 8 3
Town o fGle nmore , 4
City of Green Bay, 1,082
Town
ofGr
een
Bay,
69
Vi llag
eofHo
bart, 2
,417
Town of Holland, 42
Village ofHoward, 2,011
Town ofHumboldt, 37
Town
ofLa
w re n
ce, 75 3 Town of
Ledgeview, 1,258
Town ofMorrison, 11
Town of NewDenmark, 30
Town ofPittsfield, 123
Village of Pulaski, 9
TownofRockland,88
Townof
Scott,1
93
Village ofSuamico, 1,242
Village of Wrightstown,
503
Town ofWrightstown, 73
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The Economy
Section Summary The unemployment rate in Brown County has been, on average, 0.5% lower than that of the state over the last decade. The county has a fairly typical distribution for types of occupations and types of industries.
FIGURE 7: EMPLOYMENT BY OCCUPATION (BROWN ON TOP AND THE STATE BELOW) 9
9 United States Census Bureau. “Selected Economic Characteristics DP03, Employment Status.” 2012-2016 American Community Survey 5-Year Estimates. https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_15_5YR_DP03&src=pt Accessed November 6th, 2017.
33.4%
16.9%
24.6%
8.0%
17.1%Management, business,science, and arts
Service
Sales and office
Natural resources,construction, andmaintenanceProduction, transportation,and material moving
34.5%
17.0%
23.1%
8.5%
16.9%
Management, business,science, and arts occupations
Service occupations
Sales and office occupations
Natural resources,construction, and maintenanceoccupations
Production, transportation,and material movingoccupations
11
FIGURE 8: EMPLOYED POPULATION BY INDUSTRY (BROWN ON TOP AND STATE BELOW)
10
10 United States Census Bureau. “Selected Economic Characteristics DP03, Employment Status.” 2012-2016 American Community Survey 5-Year Estimates. https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_15_5YR_DP03&src=pt Accessed November 6th, 2017.
1.8%
5.3%
18.3%
3.2%
11.7%
6.1%
1.6%
7.0%
7.6%
20.9%
9.1%
4.1%
3.3%
Agriculture, forestry, fishing and hunting, and mining
Construction
Manufacturing
Wholesale trade
Retail trade
Transportation and warehousing, and utilities
Information
Finance and insurance, and real estate
Professional, scientific, and management
Educational services, and health care and social assistance
Arts/recreation, accommodation, and food services
Other services, except public administration
Public administration
0% 5% 10% 15% 20% 25%
2.5%
5.3%
18.5%
2.7%
11.3%
4.3%
1.7%
6.1%
8.1%
23.3%
8.7%
4.2%
3.5%
0% 5% 10% 15% 20% 25%
Agriculture, forestry, fishing and hunting, and mining
Construction
Manufacturing
Wholesale trade
Retail trade
Transportation and warehousing, and utilities
Information
Finance and insurance, and real estate
Professional, scientific, and management
Educational services, and health care and social assistance
Arts/recreation, accommodation, and food services
Other services, except public administration
Public administration
12
FIGURE 9: UNEMPLOYMENT RATES, BROWN COUNTY AND WI, 2007-2016
11
11 United States Department of Labor, Bureau of Labor Statistics. Local Area Unemployment Statistics. “Labor Force Data by County,” annual averages. https://www.bls.gov/lau/#tables Accessed Sept. 29, 2017.
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016Brown County 4.6% 4.6% 7.7% 7.9% 7.2% 6.6% 6.2% 4.9% 4.1% 3.7%Wisconsin 4.9% 4.9% 8.6% 8.7% 7.8% 7.0% 6.7% 5.4% 4.6% 4.1%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
8.0%
9.0%
10.0%
13
ALCOHOL RISK FACTORS Section Summary Sixty-two percent of licensees have liquor for sale for consumption on site. Thirty-eight percent of licenses are in Green Bay, 11% are in Ashwaubenon, 10% are in De Pere, and 14% are in towns.
FIGURE 10: ALCOHOL BEVERAGE LICENSES BY JURISDICTION, BROWN COUNTY
12 Establishments within a municipality but outside the county are not included in the table.
13
12 Wisconsin Department of Revenue. Oct. 4, 2017. “WI Liquor Licenses 2017-18.” 13 Wisconsin Department of Revenue. “Liquor License Report, Liquor License Codes.” https://www.revenue.wi.gov/Pages/OnlineServices/liqlicrpt.aspx. Accessed Oct. 25, 2017.
Allo
uez
Ashw
aube
non
Belle
vue
De P
ere
Denm
ark
Gree
n Ba
y
Hoba
rt
How
ard
Pula
ski
Suam
ico
Wrig
htst
own
Tow
ns
Tota
l (By
Liq
. Lic
ense
)
AB or AC 1 12 3 9 22 2 5 3 57
AL or ALB 6 4 16 12 3 45 15 1 4 3 14 123 BB or CW 15 6 4 1 15 5 4 5 55 BL or BLB 13 38 17 39 6 162 4 28 8 12 4 67 398 Others 1 2 2 1 6 Total (By Municipality)
20 70 42 64 10 246 4 50 14 22 7 90 639
CODE DESCRIPTION AB Beer for sale off site (convenience stores, grocery stores) AC Cider for sale off site (convenience stores, grocery stores) AL Liquor for sale off site (drug stores, wineries) ALB Beer, wine, or liquor for sale off site BB Beer for sale on site or off site BL Liquor for sale on site (winery) BLB Beer or liquor for sale on site (taverns, supper clubs) CW Wine for sale on site (restaurants) (usually in conjunction with BB)
14
FIGURE 10.2: ALCOHOL LICENSES IN BROWN COUNTY BY MUNICIPALITY
FIGURE 11: ALCOHOL BEVERAGE LICENSES BY TYPE, 2017-2018 (BROWN COUNTY ON THE LEFT, STATE ON THE RIGHT)
Allouez3% Ashwaubenon
11%
Bellevue7%
De Pere10%
Denmark2%
Green Bay38%
Hobart1%
Howard8%
Pulaski2%
Suamico3%
Wrightstown1%
Towns14%
AB or AC9%
AL or ALB19%
BB or CW9%
BL or BLB62%
Others1%
AB or AC7%
AL or ALB18%
BB or CW11%BL or BLB
63%
Others1%
15
HEALTH INFRASTRUCTURE
Injury-to-Death Ratios
Injury-to-death ratios are computed by dividing the total number of crash injuries by the crash fatalities. Higher rates are positive in that fatalities comprise a smaller percentage of crash victims. In general, higher rates are found in the state’s urbanized southeastern and south-central regions and the Fox Valley, where crashes are more likely to occur in more developed areas (and thus at slower speeds). In rural areas, the converse is true (highways and county roads predominate, with crashes occurring at higher average speeds). Generally, rural areas also suffer from a relative lack of proximate hospitals and emergency response services, which means that some crashes which would be survivable in urban areas correspond to fatalities in more rural areas.
Figure 12 shows the injury-to-death ratios for Wisconsin counties. Between 2012 and 2017, Brown County reported an above-average (better) injury-to-death ratio than the state generally (102.1 vs. 73.1).
Hospital and EMT Access
As can be seen in Figure 13, Brown County is well-served by hospitals as it is the site of two level II trauma centers, a level III trauma center, and a level IV trauma center. Other hospitals surround the county’s edges.14 The closest level I trauma center is located about 100 miles to the south in Milwaukee.
Brown County maintains 11 different emergency providers (listed below). These companies employ 655 emergency personnel. Consequently, the county is the site of 2.56 emergency response personnel per 1,000 residents. This is significantly lower than the state figure of 4.02 emergency response personnel per 1,000 residents.
14 The trauma capacities of hospitals are rated on a I-IV scale, with some remaining unrated; Level I hospitals have the greatest capacity.
Menominee,80
K en osha ,9 9. 6
Wa lw or th ,3 9. 1
Waukesha,101
M i l w a u k e e ,1 4 7 . 1
Gree
nLa
ke,53
.5
W innebago,153.1
Fo ndd u L ac , 53 .5
S h e b o y g a n ,5 4 . 3
O z a u k e e ,8 4 . 4
Waushara,22.7
Outagamie,103.2
Crawford, 40.2La Crosse
, 115.1
Pepin, 71
Wash
ington
, 83
.3
R oc k ,8 0 .1
Buffa
lo,41
Iron,
15.3
Clark,
27.9
I o w a ,4 3 . 5
Marqu
ette,
25.1
Jefferson,56.4
Calum
et,68
.5
Dou
glas
,58
.3
Oconto,24.3
Ke wa un e e,4 4 .9
Junea
u,30.5
Oneida,40.2Polk,30.3
Pierce,21.8
Florence,29.4
Adam
s,54.3Tre
mpea
leau,
41.7
Vernon,26.2
Wood,55.6
Rusk,87
S a w y e r,3 3 . 1
Dunn
,33
.7
Vilas,32.5
Langlade,33
EauClaire,98.3
Racine,123.6
Taylor,35.6
Monroe,55.5
Bayf
i el d
,24
.3
Marinette,43.4
Chippewa,44.1
Dane,102.9
Wash
burn,
40.4
Richla
nd,
29.3
Jackson,45.8
Waupaca,36.9
Green,45.7
D o or ,
6 9. 9
Price
,37.2Burnett,24
Ashla
nd,3
4.8
Columbia,35.5
Sauk,61.1
Barron,50.3
St.Croix,43.7
Grant,40.4
Shawano,31.9
Lafayette,43.8
Brow
n,10
2.1
M a n i t o w o c ,6 1 . 8
Portage,71.1
M a r a t h o n ,5 4 . 1
Fores
t,17.6
Dodge,40.8
Lincoln,35.3
Esri, HERE, DeLorme, MapmyIndia, © OpenStreetMap contributors, andthe GIS user community
FIGURE 12: INJURY TO FATALITY RATIOS FOR WISCONSIN COUNTIES (2012-2017)
Injury to Fatality Ratios15.3 - 27.928.0 - 37.2
37.3 - 45.845.9 - 61.8
61.9 - 87.087.1 - 153.0
0 10050Miles
Prepared by Evan Moorman, 2017Bureau of Transportation Safety, Division of State Patrol
Data from WisTransPortal and ESRI
Bellin
Mem
orial
Bellin
Mem
orial
Hospi
talHo
spital
Level
IIILe
vel III
Aurora BaycareMedical CenterLevel IISt Vincent
HospitalLevel II
Theda ClarkMedical CenterLevel II
Aurora MedicalCenter-Two RiversLevel III
Holy Family MemorialMedical CenterLevel III
HSHS St ClareMemorial HospitalLevel III
St ElizabethHospitalLevel III
AppletonMedical CenterLevel III
Ministry Door CountyMedical CenterLevel IV
St Mary'sHospitalLevel IV
ShawanoMedical CenterLevel IV
FIGURE 13: BROWN COUNTY FATALITIES AND SERIOUS INJURIES (2014-2017) WITH MAP OF HOSPITALS
Trauma Center LevelsLevel I
Level II
Level III
Level IV
Unclassified
Number of Fatalitiesand Serious Injuries
Lower
Higher
18
FIGURE 14: NUMBER OF EMT PERSONNEL/JURISDICTION 15
Primary address county name Service License Level Service Name
Number of Personnel
Brown Emergency Medical Responder (EMR)
Bellevue (Village Of) Fire and Rescue 27
Brown Emergency Medical Responder (EMR)
Village of Howard Fire Department 18
Brown Emergency Medical Responder (EMR)
Lawrence-Town of First Responders 15
Brown Paramedic Green Bay Metro Fire Department 200
Brown Paramedic Ashwaubenon Public Safety 77 Brown Paramedic New Para-Medic Rescue Inc 61 Brown Paramedic De Pere Fire Rescue 36
Brown Paramedic with Critical Care Endorsement Aegis Group Inc. 161
Brown Paramedic with Critical Care Endorsement County Rescue Services Inc. 45
Brown Paramedic with Critical Care Endorsement
Express Air Medical Transport 11
Brown TEMS TEAM County Rescue Services TEMS Unit 4
15 Department of Health Services, 2017, Received through Happel, C.
19
FIGURE 14.2: NUMBER AND LEVEL OF EMERGENCY RESPONDERS PER JURISDICTION
20
THE CRASHES
The state of Wisconsin, in a months-long process, solicited input from a diverse variety of stakeholders to create the most recent version of our Strategic Highway Safety Plan (SHSP), a document that guides investment and safety decisions for three years. The plan has ten different issue areas. General crash-related statistics for Brown County are listed below, and then facts and figures are organized to correspond with these ten issue areas.
GENERAL CRASH-RELATED STATISTICS
FIGURE 15: NUMBERS OF CRASHES AND PERSONS INVOLVED IN CRASHES, BY MOST SEVERE INJURY
2012 2013 2014 2015 2016 2012-2016
Average
Cras
hes
Pers
ons
Cras
hes
Pers
ons
Cras
hes
Pers
ons
Cras
hes
Pers
ons
Cras
hes
Pers
ons
Cras
hes
Pers
ons
Fatality 12 13 9 9 9 9 12 15 15 18 11.4 12.8
Incapacitating Injury
99 116 88 104 73 98 73 87 74 89 81.4 98.8
Non-Incapacitating Injury
357 443 339 431 311 383 355 449 349 442 342.2 429.6
Possible Injury
567 835 584 859 644 903 600 905 651 919 609.2 884.2
No Apparent Injury
2,506 6,765 2,646 6,936 2,819 7,352 2,699 6,967 2,773 7,293 2,688.6 7,062.6
Totals 3,541 8,172 3,666 8,339 3,856 8,745 3,739 8,423 3,862 8,761 3,732.8 8,488.0
21
FIGURE 16: FATALITIES AND INCAPACITATING INJURIES BY ROLE, BROWN COUNTY, 2012-2016
FIGURE 17: FATALITIES AND INCAPACITATING INJURIES BY ROLE, WISCONSIN, 2012-2016
Vehicle drivers make up the highest percentage of fatalities and incapacitating injuries, within Brown County and the state of Wisconsin.
BICYCLIST4%
DRIVER47%
MOTORCYCLIST21%
MOPED USER1%
VEHICLE PASSENGER
19%
PEDESTRIAN8%
BICYCLIST3%
DRIVER53%
MOTORCYCLIST16%
MOPED USER1%
VEHICLE PASSENGER
20%
PEDESTRIAN7%
22
FIGURE 18: FATAL AND INCAPACITATING INJURIES BY AGE IN BROWN COUNTY, 2012-2016
FIGURE 19: FATAL AND INCAPACITATING INJURIES BY AGE IN WISCONSIN, 2012-2016
For both Brown County and the state of Wisconsin, the highest number of incapacitating injuries occurred in the age group 15-24. The highest number of fatalities occurred in the age group 25-34 in Brown County, compared to the 15-24 age group for the state of Wisconsin.
0
20
40
60
80
100
120
140
160
4 &under
5-14 15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 &over
KILLED INCAPACITATING INJURY
0
500
1000
1500
2000
2500
3000
3500
4000
4 &under
5-14 15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 &over
KILLED INCAPACITATING INJURY
23
FIGURE 20: TOTAL FATALITIES AND INCAPACITATING INJURIES BY PLACE OF RESIDENCE (BROWN COUNTY ON LEFT AND STATE OF WISCONSIN ON RIGHT), 2012-2016
*Local is defined as persons with addresses that have ZIP codes fully or partially within the county.
FIGURE 21: FATALITIES AND INCAPACITATING INJURIES BY STATE OF RESIDENCE (BROWN COUNTY ON LEFT AND STATE OF WI ON RIGHT), 2012-2016
97% of the fatalities and incapacitating injuries in Brown County are Wisconsin residents.
FIGURE 22: LOCATION OF CRASHES BY ROAD TYPE IN BROWN COUNTY, 2012-2016
Total Fatal Crashes Total Non-Fatal Injury Crashes
Interstate Highways 3.5% 3.4%
US/State Highways 36.8% 35.9%
County Highways 12.3% 4.4% Local Roads 47.4% 56.2%
The highest percentage of fatal and injury crashes occurred on local roads within Brown County.
Local*82.80%
Non-Local17.03%
Unknown0.18%
Local*91.77%
Non-Local8.03%
Unknown0.20%
Other, 1%WI, 97%
IL, 1%MI, 1%
Other, 2%WI, 92%
IL, 3%
MN, 2%MI, 1%
24
FIGURE 23: REPORTING OF FATAL AND SERIOUS INJURY CRASHES BY AGENCY, 2012-2016
LEA TOTAL ASHWAUBENON
DEPARTMENT OF PUBLIC
SAFETY
24
BROWN COUNTY SHERIFF
187
DE PERE POLICE DEPARTMENT
21
GREEN BAY POLICE
DEPARTMENT
186
HOBART LAWRENCE
POLICE DEPARTMENT
26
ONEIDA POLICE DEPARTMENT
3
PULASKI VILLAGE POLICE DEPARTMENT
2
UW GREEN BAY POLICE
DEPARTMENT
1
WISCONSIN STATE PATROL
12
WRIGHTSTOWN POLICE
DEPARTMENT
2
TOTAL 464
Brown County Sheriff’s Office has the highest reporting of fatal and serious injury crashes within Brown County.
ISSUE AREA: IMPROVE SAFETY CULTURE, SAFETY DATA, AND DATA TECHNOLOGY
Because this information is difficult to quantify and visualize, we recommend that readers view the most recent edition of the Wisconsin Strategic Highway Safety Plan at the following location: http://wisconsindot.gov/Documents/safety/education/frms-pubs/strategichwy-17-20.pdf
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ISSUE AREA: REDUCE DRIVER DISTRACTION/IMPROVE DRIVER ALERTNESS
FIGURE 24: INATTENTION-RELATED FATAL AND INJURY-CAUSING CRASHES BY LOCATION, 2012-2016
Inattention-Related Fatal Crashes
Inattention-Related Non-Fatal Injury Crashes
Interstate Highways 0.0% 3.7% US/State Highways 27.3% 36.9% County Highways 9.1% 3.6% Local Roads 63.6% 55.9%
The most common location for inattention-related fatal and injury crashes in Brown County is on local roads. ISSUE AREA: REDUCE ALCOHOL & DRUG-IMPAIRED DRIVING
FIGURE 25: ALCOHOL OR DRUG-RELATED CRASHES BY LOCATION, 2012-2016
Alcohol or Drug-Related Fatal Crashes
Alcohol or Drug Related Non-Fatal Injury Crashes
Interstate Highways 3.0% 1.9% US/State Highways 42.4% 31.7% County Highways 12.1% 7.4% Local Roads 42.4% 59.0%
The most common location for alcohol/drug-related fatal crashes in Brown County is on US/state highways and local roads.
FIGURE 26: IMPAIRED DRIVING STATISTICS IN BROWN COUNTY, 2012-2016
Average Total Fatal Crashes
Average Non-Fatal Injury Crashes
Average Alcohol or Drug-Related Fatal Crashes
Average Alcohol or Drug Related Non-Fatal Injury Crashes
11.4 1,032.8 6.6 95.2
Brown County % of alcohol or drug related fatal crashes to all fatal crashes 57.9%
Wisconsin % of alcohol or drug related fatal crashes to all fatal crashes 45.0%
Brown County has a greater percentage of alcohol or drug related fatal crashes than the state of Wisconsin.
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ISSUE AREA: REDUCE THE INCIDENCE AND SEVERITY OF MOTORCYCLE CRASHES
FIGURE 27: BROWN COUNTY MOTORCYCLISTS KILLED OR SERIOUSLY INJURED, 2012-2016
% Killed
% Seriously Injured
5-Yr Ave Killed
5-Yr Ave Seriously Injured
County 18.8% 21.5% 2.4 21.2
State 15.3% 16.5% 84.8 525.6
Brown County had a higher percentage of motorcyclists killed and seriously injured when compared to the state.
ISSUE AREA: IMPROVE NON-MOTORIST SAFETY
FIGURE 28: BROWN COUNTY PEDESTRIANS KILLED OR SERIOUSLY INJURED
% Killed
% Seriously Injured
5-Yr Ave Killed
5-Yr Ave Seriously Injured
County 6.3% 7.9% 0.8 7.8
State 8.1% 6.6% 44.8 211.2 Brown County had higher percentages of crashes where pedestrians were seriously injured, but a lower percentage of pedestrian fatalities when compared to the state.
FIGURE 29: PEDESTRIANS INVOLVED IN CRASHES BY ACTION AND LOCATION, 2012-2016
PEDESTRIAN ACTION
PEDESTRIAN LOCATION TOTAL
BLANK IN CROSSWALK
IN ROADWAY
NOT IN ROADWAY
ON SIDEWALK
BLANK 10 44 41 2 6 103
WALKING NOT FACING TRAFFIC
0 6 19 2 0 27
DISREGARDED SIGNAL
1 2 2 0 0 5
DARTING INTO ROAD
12 5 34 0 0 51
DARK CLOTHING
0 3 6 0 0 9
WALKING FACING TRAFFIC
0 11 8 1 0 20
TOTAL 23 71 110 5 6 215
The most common pedestrian action contributing to crashes was darting into the roadway.
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FIGURE 30: BROWN COUNTY BICYCLISTS KILLED OR SERIOUSLY INJURED, 2012-2016
% Killed % Seriously Injured
5-Yr Ave Killed
5-Yr Ave Seriously Injured
County 0.0% 4.3% 0.0 4.2
State 1.8% 2.9% 10.2 92.4
Zero bicyclists were killed in Brown County from 2012-2016. However, Brown County had a higher percentage of crashes where bicyclists were seriously injured when compared to the state.
ISSUE AREA: IMPROVE SAFETY OF INTERSECTIONS
FIGURE 31: BROWN COUNTY TOTAL CRASHES BY LOCATION, 2012-2016
County State % Intersection 42.9% 37.8%
% Non-intersection 57.1% 62.8%
Compared to the state, a higher percentage of crashes (42.9%) occurred at intersections in Brown County.
ISSUE AREA: INCREASE OCCUPANT PROTECTION
FIGURE 32: SEATBELT USAGE RATE STATEWIDE, 2012-2017
Seatbelt usage statewide has increased over the past six years.
FIGURE 32.2: SAFETY EQUIPMENT USAGE IN PASSENGER CAR AND LIGHT TRUCKS DURING CRASHES, 2012-2016
Belted Unbelted Fatalities and Serious Injuries 72.6% 27.4%
79.9
82.4
84.785.8
88.489.4
2012 2013 2014 2015 2016 2017
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ISSUE AREA: CURB AGGRESSIVE DRIVING/REDUCE SPEED-RELATED CRASHES
FIGURE 33: DRIVER POSSIBLE CONTRIBUTING CIRCUMSTANCES FOR CRASHES IN BROWN COUNTY (TOP) AND STATEWIDE (BOTTOM), 2012-2016
Inattentive driving is the most significant contributing factor for all crashes within Brown County, and for the state as a whole.
12.97%
4.83%
5.43%
10.34%
12.02%
13.01%
17.98%
23.42%
OTHER CATAGORIES
DISGRD TRAFFIC CNTL
DRIVER CONDITION
FOLLOWING TOO CLOSE
FAILURE TO CONTROL
SPEED TOO FAST/COND
FAIL YIELD R-O-WAY
INATTENTIVE DRIVING
19.88%
5.00%
9.55%
11.49%
16.23%
16.88%
20.97%
OTHER CATAGORIES
DRIVER CONDITION
FOLLOWING TOO CLOSE
SPEED TOO FAST/COND
FAIL YIELD R-O-WAY
FAILURE TO CONTROL
INATTENTIVE DRIVING
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FIGURE 34: AGGRESSIVE DRIVING STATISTICS IN BROWN COUNTY, 2012-2016
Average Speed Related Fatal Crashes
Average Speed Related Non-Fatal Injury Crashes
5.2 170.4
Speed-Related Fatal Crashes
Speed-Related Non-Fatal-Injury Crashes
Interstate Highways 7.7% 6.7% US/State Highways 30.8% 35.9% County Highways 7.7% 7.5% Local Roads 53.8% 49.9%
The most common location for speed-related fatal and injury crashes in Brown County is on local roads.
ISSUE AREA: REDUCE LANE DEPARTURE CRASHES
FIGURE 35: BROWN COUNTY RUN-OFF-THE-ROAD CRASHES, 2012-2016
5-Year Average of Run-Off-
the-Road Crashes % of Run-Off-the-Road Crashes to
Total Crashes
County 842.0 22.6%
State 30,395.6 25.4% Brown County had a lower percentage of run-off-the-road crashes when compared to the state.
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THE IMPACT
The number of persons per 1,000 residents that are involved in traffic crashes is low.
2011-2015 ANNUAL AVERAGES
16,17
16University of Wisconsin-Madison, Center for Health Systems Research & Analysis. Wisconsin Crash Outcome Data Evaluation System Project. “Wisconsin CODES Report Builder Custom Reporting System,” http://www.chsra.wisc.edu/codes/query/overview.html Accessed Oct. 2, 2017. 17University of Wisconsin-Madison, Center for Health Systems Research & Analysis. Wisconsin Crash Outcome Data Evaluation System Project. “Community Crash Reports,” http://www.chsra.wisc.edu/codes/community/default.htm Accessed Oct. 3, 2017.
Brown County Wisconsin Average Annual Population 253,467 5,716,883 Persons in Crashes (per 1,000 residents)
33.9 46.0
Crash-Related Emergency Room Visits (per 100,000 residents)
389.8 407.3
Crash-Related Hospitalizations (per 100,000 residents)
37.8 49.3
Quality of Life Costs (per 100,000 residents)
$24,547,100 $36,819,900
Lost Years of Life (per 1,000 residents)
1.75 3.04
Medical Costs (per 100,000 residents)
$7,376,423 $10,482,526
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THE GRANTS
The Bureau of Transportation Safety targets counties throughout the state based on crash frequency and severity, considering their size, location, and contributing behavioral factors as indicated on crash forms received from local law enforcement agencies. Overtime enforcement grants are offered to the law enforcement agencies of a county to form a high-visibility enforcement task force that will coordinate efforts with each other and locals to change the driving behavior in their county. If a county makes the targeting list for an enforcement grant to address a behavioral highway safety issue, all law enforcement agencies within the county are eligible to participate on a task force to address the problem. National priority issue areas include impaired driving, seat belt use, speeding, and distracted driving.
2016 Grant Participation Impaired Driving Occupant Protection Speed Brown County Sheriff’s Office $49,104 $35,960 Ashwaubenon Dept. of Public Safety $24,010 De Pere Police Dept. Green Bay Police Dept. $74,172 $35,602.56 Hobart-Lawrence Police Dept. $23,345.76 Oneida Tribal Police Dept. Pulaski Police Dept. UW-Green Bay Police Dept. $10,000.73 $11,341.68 Wrightstown Police Dept. $12,150
2016 Task Forces
Grant Amount
Brown County OWI Task Force $120,529.50
Brown County Speed Task Force $85,392
Green Bay Police Department and UW-Green Bay Police Department participated on the Green Bay Pedestrian High-Visibility Enforcement Task Force focusing on motorist violations that negatively impact pedestrian safety. 2016 Task Force Participation
Impaired Driving Occupant Protection Speed Brown County Sheriff’s Office Brown County OWI Task Force Brown County Speed Task Force Ashwaubenon Dept of Public Safety Brown County OWI Task Force Brown County Speed Task Force De Pere Police Dept Brown County OWI Task Force Green Bay Police Dept Brown County OWI Task Force Brown County Speed Task Force Hobart-Lawrence Police Dept Brown County OWI Task Force Brown County Speed Task Force Oneida Tribal Police Dept Pulaski Police Dept UW-Green Bay Police Dept Wrightstown Police Dept Brown County Speed Task Force
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2017 Task Forces Grant Amount
Brown County OWI Task Force $249,984
Brown County Seat Belt Task Force $124,992
2017 Task Force Participation
Impaired Driving Occupant Protection Speed Brown County Sheriff’s Office Brown County OWI Task Force Brown County Seat Belt Task Force Ashwaubenon Dept of Public Safety Brown County OWI Task Force Brown County Seat Belt Task Force De Pere Police Dept Brown County OWI Task Force Brown County Seat Belt Task Force Green Bay Police Dept Brown County OWI Task Force Brown County Seat Belt Task Force Hobart-Lawrence Police Dept Brown County OWI Task Force Brown County Seat Belt Task Force Oneida Tribal Police Dept Brown County OWI Task Force Brown County Seat Belt Task Force Pulaski Police Dept UW-Green Bay Police Dept Wrightstown Police Dept
2018 Task Force Eligibility
Impaired Driving Occupant Protection Speed
Brown County Law Enforcement Agencies eligible eligible not eligible
Agency Mobilizations 2016-2017
FY2016 Drive Sober or Get Pulled Over- Winter Holidays
2016 Click It or Ticket
2016 Drive Sober or Get Pulled Over – Labor Day
FY2017 Drive Sober or Get Pulled Over- Winter Holidays
2017 Click It or Ticket
2017 Drive Sober or Get Pulled Over – Labor Day
Brown County Sheriff’s Office Yes Yes Ashwaubenon Dept. of Public Safety Yes Yes Yes Yes De Pere Police Dept. Green Bay Police Dept. Hobart-Lawrence Police Dept. Yes Yes Yes Yes Oneida Tribal Police Dept. Yes Pulaski Police Dept. UW-Green Bay Police Dept. Yes Wrightstown Police Dept. Yes Yes Yes Yes Yes Yes
The Wisconsin State Patrol participates in all three mobilizations each year. Law enforcement agencies should participate for the chance to receive an equipment grant for ongoing high-visibility enforcement.