State stringlengths 2 2 | Alcohol-Impaired Driving Deaths int64 96 13.2k | Occupant Deaths int64 130 24k | Location stringlengths 24 27 |
|---|---|---|---|
WY | 484 | 1,195 | WY
(43.23558, -108.110518) |
NC | 3,996 | 10,093 | NC
(35.47995, -79.180571) |
OR | 1,129 | 2,735 | OR
(44.567912, -120.156945) |
NY | 3,605 | 7,013 | NY
(42.826892, -75.544286) |
AL | 2,997 | 7,754 | AL
(32.839182, -86.631125) |
RI | 265 | 429 | RI
(41.707447, -71.522488) |
WI | 2,300 | 4,572 | WI
(44.395526, -89.834513) |
PA | 4,355 | 9,656 | PA
(40.789676, -77.858055) |
NJ | 1,747 | 3,832 | NJ
(40.104655, -74.386686) |
VA | 2,518 | 6,335 | VA
(37.542699, -78.45822) |
TX | 13,171 | 24,013 | TX
(31.827233, -99.423022) |
DE | 430 | 767 | DE
(39.008676, -75.574561) |
MA | 1,309 | 2,465 | MA
(42.268546, -72.085064) |
NV | 968 | 1,962 | NV
(39.491833, -117.070159) |
NE | 631 | 1,919 | NE
(41.640503, -99.367122) |
MS | 2,367 | 6,100 | MS
(32.738663, -89.537312) |
IA | 967 | 2,970 | IA
(42.46942, -93.815856) |
WA | 1,799 | 3,542 | WA
(47.517368, -120.467672) |
MI | 2,710 | 6,699 | MI
(44.66399, -84.711206) |
MT | 897 | 1,778 | MT
(47.062617, -109.430168) |
NH | 386 | 853 | NH
(43.657736, -71.500736) |
KY | 1,900 | 6,133 | KY
(37.64591, -84.774043) |
SD | 469 | 1,107 | SD
(44.35371, -100.373709) |
ME | 454 | 1,231 | ME
(45.252223, -68.986647) |
MD | 1,586 | 3,454 | MD
(39.290443, -76.612333) |
HI | 453 | 587 | HI
(21.30992, -157.858158) |
AR | 1,636 | 4,526 | AR
(34.748745, -92.275105) |
FL | 8,053 | 16,041 | FL
(28.915325, -81.922409) |
MN | 1,274 | 3,248 | MN
(46.357661, -94.793397) |
DC | 96 | 130 | DC
(38.892062, -77.019912) |
GA | 3,513 | 10,406 | GA
(32.836038, -83.631709) |
IN | 2,171 | 5,966 | IN
(39.76845, -86.156212) |
CT | 1,049 | 1,806 | CT
(41.544654, -72.651713) |
VT | 199 | 535 | VT
(43.622479, -72.51927) |
SC | 3,723 | 6,648 | SC
(34.009286, -81.037094) |
ID | 661 | 1,725 | ID
(43.680635, -114.364237) |
OK | 2,095 | 5,711 | OK
(35.468494, -97.521264) |
OH | 3,457 | 8,223 | OH
(40.056807, -82.405897) |
KS | 1,142 | 3,248 | KS
(38.345528, -98.201847) |
TN | 3,154 | 8,357 | TN
(35.681402, -85.774444) |
LA | 2,875 | 6,073 | LA
(31.2931, -92.463284) |
AK | 205 | 439 | AK
(64.836661, -147.738891) |
NM | 1,166 | 2,766 | NM
(34.520396, -106.244402) |
CA | 9,791 | 20,733 | CA
(37.640735, -121.002435) |
CO | 1,599 | 3,521 | CO
(38.841772, -106.132562) |
WV | 1,040 | 2,762 | WV
(38.668501, -80.709421) |
MO | 3,004 | 7,219 | MO
(38.636168, -92.566292) |
UT | 456 | 1,882 | UT
(39.359772, -111.584173) |
IL | 3,554 | 7,348 | IL
(40.477092, -88.993221) |
ND | 539 | 1,078 | ND
(47.475879, -100.121011) |
AZ | 2,656 | 5,712 | AZ
(34.869712, -111.760902) |
Occupant and Alcohol-Impaired Driving Deaths in States, 2005-2014
Description
Alcohol-Impaired Driving Fatalities 2005-2014; All persons killed in crashes involving a driver with BAC >= .08 g/dL. Occupant Fatalities 2005-2014; All occupants killed where body type = 1-79. Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2005-2013 Final Reports and 2014 Annual Report File
Dataset Details
- Publisher: Centers for Disease Control and Prevention
- Last Modified: 2016-09-26
- Contact: CDC INFO (cdcinfo@cdc.gov)
Source
Original data can be found at: https://data.cdc.gov/d/haed-k2ka
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset('HHS-Official/occupant-and-alcohol-impaired-driving-deaths-in-st')
License
This dataset is licensed under http://opendefinition.org/licenses/odc-odbl/
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