{"id":239383716,"date":"2012-08-02T15:28:36","date_gmt":"2012-08-02T15:28:36","guid":{"rendered":"https:\/\/wp.baltimorespokes.org\/?p=239383716"},"modified":"2012-08-02T15:28:36","modified_gmt":"2012-08-02T15:28:36","slug":"fars-2010-data-maryland-is-still-in-the-top-10-worst","status":"publish","type":"post","link":"https:\/\/wp.baltimorespokes.org\/?p=239383716","title":{"rendered":"FARS 2010 DATA (Maryland is still in the top 10 (worst))"},"content":{"rendered":"

Percentage of Road Fatalities that are Bike\/Ped<\/b> National Maryland Ranks #8 (worst)
\nListing of Counties from worst to best with the total line sorted in to show who is above and below the state norm. (Counties with no bike\/ped fatalities not shown.)<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n County<\/span>\n <\/th>\n\n Person Type\n <\/th>\nTotal Killed<\/th>\n<\/tr>\n
Driver<\/td>\nPassenger<\/td>\nMotorcyclists<\/td>\nPedestrian <\/td>\nPedalcyclist <\/td>\nOther\/Unknown<\/td>\nTotal<\/td>\n<\/tr>\n
Number<\/td>\nPercent<\/td>\nNumber<\/td>\nPercent<\/td>\nNumber<\/td>\nPercent<\/td>\nNumber<\/td>\nPercent<\/td>\n\n Number<\/td>\nPercent<\/td>\n\n Number<\/td>\nPercent<\/td>\nNumber<\/td>\nPercent<\/td>\nbike\/ped percent<\/td>\n<\/tr>\n
ANNE ARUNDEL (3)<\/td>\n13<\/td>\n38.2<\/td>\n5<\/td>\n14.7<\/td>\n5<\/td>\n14.7<\/td>\n11<\/td>\n32.4<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n34<\/td>\n100<\/td>\n32.4<\/td>\n<\/tr>\n
MONTGOMERY (31)<\/td>\n16<\/td>\n34<\/td>\n9<\/td>\n19.1<\/td>\n7<\/td>\n14.9<\/td>\n14<\/td>\n29.8<\/td>\n1<\/td>\n2.1<\/td>\n0<\/td>\n0<\/td>\n47<\/td>\n100<\/td>\n31.9<\/td>\n<\/tr>\n
BALTIMORE (5)<\/td>\n24<\/td>\n40.7<\/td>\n8<\/td>\n13.6<\/td>\n10<\/td>\n16.9<\/td>\n16<\/td>\n27.1<\/td>\n1<\/td>\n1.7<\/td>\n0<\/td>\n0<\/td>\n59<\/td>\n100<\/td>\n28.8<\/td>\n<\/tr>\n
BALTIMORE CITY (510)<\/td>\n11<\/td>\n28.2<\/td>\n9<\/td>\n23.1<\/td>\n8<\/td>\n20.5<\/td>\n10<\/td>\n25.6<\/td>\n1<\/td>\n2.6<\/td>\n0<\/td>\n0<\/td>\n39<\/td>\n100<\/td>\n28.2<\/td>\n<\/tr>\n
CARROLL (13)<\/td>\n10<\/td>\n55.6<\/td>\n0<\/td>\n0<\/td>\n3<\/td>\n16.7<\/td>\n4<\/td>\n22.2<\/td>\n1<\/td>\n5.6<\/td>\n0<\/td>\n0<\/td>\n18<\/td>\n100<\/td>\n27.8<\/td>\n<\/tr>\n
ST. MARY’S (37)<\/td>\n6<\/td>\n54.5<\/td>\n2<\/td>\n18.2<\/td>\n0<\/td>\n0<\/td>\n3<\/td>\n27.3<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n11<\/td>\n100<\/td>\n27.3<\/td>\n<\/tr>\n
QUEEN ANNE’S (35)<\/td>\n6<\/td>\n54.5<\/td>\n2<\/td>\n18.2<\/td>\n0<\/td>\n0<\/td>\n1<\/td>\n9.1<\/td>\n2<\/td>\n18.2<\/td>\n0<\/td>\n0<\/td>\n11<\/td>\n100<\/td>\n27.3<\/td>\n<\/tr>\n
PRINCE GEORGE’S (33)<\/td>\n42<\/td>\n47.2<\/td>\n14<\/td>\n15.7<\/td>\n10<\/td>\n11.2<\/td>\n22<\/td>\n24.7<\/td>\n1<\/td>\n1.1<\/td>\n0<\/td>\n0<\/td>\n89<\/td>\n100<\/td>\n25.8<\/td>\n<\/tr>\n
WASHINGTON (43)<\/td>\n6<\/td>\n37.5<\/td>\n4<\/td>\n25<\/td>\n2<\/td>\n12.5<\/td>\n4<\/td>\n25<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n16<\/td>\n100<\/td>\n25<\/td>\n<\/tr>\n
Total<\/th>\n213<\/td>\n43.2<\/td>\n88<\/td>\n17.8<\/td>\n82<\/td>\n16.6<\/td>\n101<\/td>\n20.5<\/th>\n8<\/td>\n1.6<\/th>\n1<\/td>\n0.2<\/td>\n493<\/td>\n100<\/td>\n22.1<\/th>\n<\/tr>\n
HARFORD (25)<\/td>\n6<\/td>\n26.1<\/td>\n1<\/td>\n4.3<\/td>\n12<\/td>\n52.2<\/td>\n4<\/td>\n17.4<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n23<\/td>\n100<\/td>\n17.4<\/td>\n<\/tr>\n
CHARLES (17)<\/td>\n6<\/td>\n33.3<\/td>\n5<\/td>\n27.8<\/td>\n4<\/td>\n22.2<\/td>\n3<\/td>\n16.7<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n18<\/td>\n100<\/td>\n16.7<\/td>\n<\/tr>\n
WORCESTER (47)<\/td>\n4<\/td>\n33.3<\/td>\n5<\/td>\n41.7<\/td>\n1<\/td>\n8.3<\/td>\n1<\/td>\n8.3<\/td>\n1<\/td>\n8.3<\/td>\n0<\/td>\n0<\/td>\n12<\/td>\n100<\/td>\n16.6<\/td>\n<\/tr>\n
CALVERT (9)<\/td>\n3<\/td>\n37.5<\/td>\n1<\/td>\n12.5<\/td>\n3<\/td>\n37.5<\/td>\n1<\/td>\n12.5<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n8<\/td>\n100<\/td>\n12.5<\/td>\n<\/tr>\n
CAROLINE (11)<\/td>\n4<\/td>\n50<\/td>\n1<\/td>\n12.5<\/td>\n2<\/td>\n25<\/td>\n1<\/td>\n12.5<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n8<\/td>\n100<\/td>\n12.5<\/td>\n<\/tr>\n
FREDERICK (21)<\/td>\n10<\/td>\n41.7<\/td>\n5<\/td>\n20.8<\/td>\n6<\/td>\n25<\/td>\n3<\/td>\n12.5<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n24<\/td>\n100<\/td>\n12.5<\/td>\n<\/tr>\n
GARRETT (23)<\/td>\n5<\/td>\n62.5<\/td>\n2<\/td>\n25<\/td>\n0<\/td>\n0<\/td>\n1<\/td>\n12.5<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n8<\/td>\n100<\/td>\n12.5<\/td>\n<\/tr>\n
CECIL (15)<\/td>\n9<\/td>\n52.9<\/td>\n4<\/td>\n23.5<\/td>\n2<\/td>\n11.8<\/td>\n2<\/td>\n11.8<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n17<\/td>\n100<\/td>\n11.8<\/td>\n<\/tr>\n<\/table>\n

https:\/\/www-fars.nhtsa.dot.gov\/States\/StatesCrashesAndAllVictims.aspx#ctl00_PageContent_ctlStYrStCrVic6_lblTableName<\/a>
\nLast Year<\/a><\/p>\n

\n

Pedestrian Fatality Rate<\/b> National Maryland Ranks #8 (worst)<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Rank<\/th>\nCounty<\/th>\nPedestrians Killed<\/th>\nPopulation<\/th>\nPedestrian Fatality Rate per 100,000 Population<\/th>\n<\/tr>\n
1<\/td>\nGARRETT (23)<\/td>\n 1<\/td>\n 30,063<\/td>\n 3.33<\/td>\n<\/tr>\n
2<\/td>\nCAROLINE (11)<\/td>\n 1<\/td>\n 33,093<\/td>\n 3.02<\/td>\n<\/tr>\n
3<\/td>\nST. MARY’S (37)<\/td>\n 3<\/td>\n 105,786<\/td>\n 2.84<\/td>\n<\/tr>\n
4<\/td>\nWASHINGTON (43)<\/td>\n 4<\/td>\n 147,558<\/td>\n 2.71<\/td>\n<\/tr>\n
5<\/td>\nPRINCE GEORGE’S (33)<\/td>\n 22<\/td>\n 865,271<\/td>\n 2.54<\/td>\n<\/tr>\n
6<\/td>\nCARROLL (13)<\/td>\n 4<\/td>\n 167,241<\/td>\n 2.39<\/td>\n<\/tr>\n
7<\/td>\nQUEEN ANNE’S (35)<\/td>\n 1<\/td>\n 47,899<\/td>\n 2.09<\/td>\n<\/tr>\n
8<\/td>\nANNE ARUNDEL (3)<\/td>\n 11<\/td>\n 539,198<\/td>\n 2.04<\/td>\n<\/tr>\n
9<\/td>\nCHARLES (17)<\/td>\n 3<\/td>\n 147,086<\/td>\n 2.04<\/td>\n<\/tr>\n
10<\/td>\nBALTIMORE (5)<\/td>\n 16<\/td>\n 805,709<\/td>\n 1.99<\/td>\n<\/tr>\n
11<\/td>\nCECIL (15)<\/td>\n 2<\/td>\n 101,199<\/td>\n 1.98<\/td>\n<\/tr>\n
12<\/td>\nWORCESTER (47)<\/td>\n 1<\/td>\n 51,431<\/td>\n 1.94<\/td>\n<\/tr>\n
13<\/td>\nHARFORD (25)<\/td>\n 4<\/td>\n 245,177<\/td>\n 1.63<\/td>\n<\/tr>\n
14<\/td>\nBALTIMORE CITY (510)<\/td>\n 10<\/td>\n 620,583<\/td>\n 1.61<\/td>\n<\/tr>\n
15<\/td>\nMONTGOMERY (31)<\/td>\n 14<\/td>\n 976,203<\/td>\n 1.43<\/td>\n<\/tr>\n
16<\/td>\nFREDERICK (21)<\/td>\n 3<\/td>\n 234,122<\/td>\n 1.28<\/td>\n<\/tr>\n
17<\/td>\nCALVERT (9)<\/td>\n 1<\/td>\n 88,936<\/td>\n 1.12<\/td>\n<\/tr>\n
18<\/td>\nALLEGANY (1)<\/td>\n 0<\/td>\n 75,021<\/td>\n 0.00<\/td>\n<\/tr>\n
19<\/td>\nDORCHESTER (19)<\/td>\n 0<\/td>\n 32,650<\/td>\n 0.00<\/td>\n<\/tr>\n
20<\/td>\nHOWARD (27)<\/td>\n 0<\/td>\n 288,376<\/td>\n 0.00<\/td>\n<\/tr>\n
21<\/td>\nKENT (29)<\/td>\n 0<\/td>\n 20,222<\/td>\n 0.00<\/td>\n<\/tr>\n
22<\/td>\nSOMERSET (39)<\/td>\n 0<\/td>\n 26,481<\/td>\n 0.00<\/td>\n<\/tr>\n
23<\/td>\nTALBOT (41)<\/td>\n 0<\/td>\n 37,834<\/td>\n 0.00<\/td>\n<\/tr>\n
24<\/td>\nWICOMICO (45)<\/td>\n 0<\/td>\n 98,843<\/td>\n 0.00<\/td>\n<\/tr>\n
<\/td>\nTOTAL<\/td>\n101<\/td>\n5,785,982<\/td>\n1.75<\/td>\n<\/tr>\n<\/table>\n

https:\/\/www-fars.nhtsa.dot.gov\/States\/StatesPedestrians.aspx<\/a>
\nLast Year<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Percentage of Road Fatalities that are Bike\/Ped National Maryland Ranks #8 (worst) Listing of Counties from worst to best with the total line sorted in to show who is above and below the state norm. (Counties with no bike\/ped fatalities not shown.) County Person Type Total Killed Driver Passenger Motorcyclists Pedestrian Pedalcyclist Other\/Unknown Total Number … <\/p>\n

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