For the 27th year, the career fire service takes to the pages of Firehouse® Magazine to share and compare statistics about company and department activity levels, funding, staffing and pay. A total of 271 fire departments took part in this year's survey, representing 45 states, the District of Columbia and 7 Canadian provinces. The departments represented in this latest survey protect 78,297,462 people, and they have budgets totaling more than $12 billion (budgets are listed in millions of dollars). They provide this service with 3,860 engine companies, 1,380 ladder companies, 1,559 ambulances and numerous other specialized units. They responded to 1,829,199 fire calls, 7,236,854 EMS calls and 10,412,376 total calls last year.
Pay Scales & Staffing | DEPARTMENT | FF START PAY | FF TOP PAY | MEDIC START PAY | MEDIC TOP PAY | WORK WEEK | ENGINE CREW | LADDER CREW |
|---|
| Anniston, AL |
28,110 |
42,000 |
31,000 |
44,000 |
56 |
3 |
1 |
| Birmingham, AL |
32,988 |
49,691 |
36,046 |
54,660 |
52 |
4 |
4 |
| Decatur, AL |
32,001 |
49,350 |
32,001 |
59,350 |
56 |
4 |
4 |
| Dothan, AL |
29,452 |
45,094 |
32,102 |
49,152 |
56 |
4 |
2 |
| Florence, AL |
26,126 |
30,737 |
NA |
NA |
56 |
4 |
4 |
| Tuscaloosa, AL |
38,475 |
51,054 |
41,725 |
54,304 |
53.2 |
3.5 |
4 |
| Chandler, AZ |
41,164 |
58,240 |
47,338 |
64,414 |
56 |
4 |
4 |
| Gilbert, AZ |
43,565 |
60,990 |
48,965 |
66,390 |
56 |
4 |
4 |
| Glendale, AZ |
40,126 |
59,284 |
NA |
NA |
52 |
4 |
4 |
| Maricopa, AZ |
47,000 |
63,000 |
52,231 |
68,531 |
56 |
4 |
4 |
| Mesa, AZ |
43,846 |
59,114 |
52,628 |
65,649 |
56 |
4 |
4 |
| Scottsdale, AZ |
44,349 |
62,054 |
49,749 |
67,454 |
56 |
4 |
4 |
| Surprise, AZ |
46,300 |
60,948 |
51,978 |
66,626 |
56 |
4 |
5 |
| Tempe, AZ |
40,160 |
59,838 |
52,433 |
65,822 |
56 |
4 |
4 |
| Tucson, AZ |
41,845 |
54,833 |
41,845 |
63,568 |
56 |
4 |
4 |
| Anaheim, CA |
70,000 |
86,000 |
80,000 |
96,000 |
56 |
4 |
4 |
| Apple Valley, CA |
42,612 |
54,552 |
48,612 |
60,552 |
56 |
3 |
3 |
| Auburn, CA |
42,000 |
51,600 |
NA |
NA |
56 |
3 |
NA |
| Bakersfield, CA |
50,011 |
65,961 |
50,011 |
65,961 |
56 |
3 |
4 |
| Camp Roberts, CA |
42,468 |
51,024 |
NA |
NA |
53 |
3 |
NA |
| Contra Costa County, CA |
68,530 |
83,299 |
75,364 |
91,606 |
56 |
3 |
3 |
| El Cajon, CA |
51,688 |
62,928 |
58,269 |
71,024 |
56 |
3 |
3 |
| Fresno, CA |
54,672 |
69,732 |
NA |
NA |
56 |
3 |
3 |
| Hemet, CA |
49,692 |
66,744 |
NA |
NA |
56 |
3 |
3 |
| Long Beach, CA |
51,680 |
71,113 |
56,403 |
82,774 |
4 |
4 |
Y |
| Los Angeles City, CA |
51,824 |
75,690 |
51,824 |
89,116 |
56 |
4 |
5 |
| Los Angeles County, CA |
55,330 |
80,882 |
65,110 |
95,181 |
56 |
3.5 |
4 |
| Modesto, CA |
51,580 |
62,697 |
53,643 |
NA |
52 |
3 |
4 |
| Mountain Ranch, CA |
29,000 |
39,000 |
NA |
NA |
56 |
2 |
0 |
| Ontario, CA |
54,911 |
66,744 |
69,226 |
81,059 |
56 |
4 |
4 |
| Pasadena, CA |
61,268 |
70,965 |
72,068 |
82,868 |
56 |
4 |
4 |
| Redding, CA |
47,786 |
58,065 |
NA |
NA |
56 |
2.5 |
3 |
| Salinas, CA |
62,436 |
79,704 |
70,241 |
89,667 |
56 |
3 |
3 |
| San Francisco, CA |
65,806 |
92,092 |
NA |
106,418 |
48.7 |
4 |
5 |
| San Luis Obispo, CA |
50,882 |
69,420 |
59,212 |
77,750 |
56 |
3 |
4 |
| Santa Cruz City, CA |
60,708 |
81,252 |
68,832 |
89,376 |
56 |
3 |
3 |
| Santa Rosa, CA |
63,516 |
76,248 |
69,867 |
83,872 |
56 |
3 |
4 |
| Seaside, CA |
55,637 |
70,794 |
NA |
NA |
48 |
3 |
4 |
| Somerset, CA |
50,400 |
53,496 |
54,000 |
57,289 |
56 |
3 |
NA |
| Stockton, CA |
49,668 |
74,076 |
54,113 |
82,224 |
56 |
4 |
5 |
| Vacaville, CA |
75,674 |
91,982 |
85,133 |
103,479 |
56 |
3 |
3 |
| Watsonville, CA |
49,464 |
66,288 |
NA |
NA |
56 |
3 |
3 |
| Adams County, CO |
34,500 |
58,349 |
40,500 |
58,477 |
56 |
4 |
NA |
| Arvada, CO |
42,197 |
65,013 |
NA |
NA |
56 |
4 |
4 |
| Aurora, CO |
41,585 |
65,183 |
67,015 |
71,706 |
56 |
4 |
4 |
| Boulder, CO |
47,939 |
62,193 |
NA |
NA |
56 |
3 |
3 |
| Colorado Springs, CO |
42,552 |
60,576 |
54,420 |
68,892 |
56 |
4 |
4 |
| Denver, CO |
41,406 |
64,008 |
NA |
NA |
48 |
4 |
4 |
| Grand Junction, CO |
44,340 |
53,772 |
47,112 |
56,532 |
56 |
4 |
4 |
| Jefferson County, CO |
29,536 |
60,825 |
44,745 |
66,034 |
56 |
4 |
4 |
| Longmont, CO |
41,844 |
56,088 |
58,080 |
62,316 |
56 |
3 |
3 |
| Union Colony, Greeley, CO |
41,355 |
57,974 |
43,945 |
60,292 |
56 |
4 |
4 |
| Westminster, CO |
35,796 |
61,193 |
51,389 |
65,783 |
56 |
3.5 |
3.5 |
| Bridgeport, CT |
39,254 |
51,460 |
NA |
NA |
42 |
4 |
4 |
| Danbury, CT |
48,843 |
60,272 |
NA |
NA |
42 |
3 |
4 |
| Fairfield, CT |
51,084 |
87,690 |
NA |
NA |
42 |
3 |
3 |
| Hartford, CT |
50,336 |
60,736 |
NA |
NA |
42 |
4 |
4 |
| Meriden, CT |
43,047 |
58,116 |
44,947 |
59,601 |
42 |
3.2 |
4 |
| New Britain, CT |
47,762 |
52,549 |
NA |
NA |
42 |
4 |
4 |
| New Haven, CT |
37,000 |
60,687 |
37,000 |
60,687 |
42 |
4 |
4 |
| Norwalk, CT |
45,355 |
NA |
NA |
NA |
42 |
4 |
4 |
| Stamford, CT |
41,753 |
64,017 |
NA |
NA |
42 |
4 |
4 |
| Waterbury, CT |
45,401 |
56,431 |
NA |
NA |
50 |
4 |
4 |
| Washington, DC |
44,302 |
78,681 |
48,732 |
83,111 |
42 |
4 |
5 |
| Clearwater, FL |
35,323 |
NA |
42,387 |
NA |
53 |
3 |
4 |
| Deltona, FL |
32,559 |
37,673 |
39,129 |
64,243 |
56 |
3 |
4 |
| Estero, FL |
46,016 |
61,714 |
54,986 |
70,714 |
56 |
3 |
3 |
| Fort Lauderdale, FL |
49,229 |
67,000 |
54,599 |
74,135 |
48 |
3 |
3 |
| Fort Walton Beach, FL |
28,859 |
49,760 |
32,659 |
53,560 |
56 |
3.6 |
3.6 |
| Gainesville, FL |
38,615 |
54,060 |
42,090 |
58,925 |
53 |
3 |
4 |
| Hollywood, FL |
36,679 |
56,065 |
43,798 |
61,885 |
46.6 |
3 |
2 |
| Melbourne, FL |
33,633 |
48,758 |
35,785 |
51,830 |
56 |
4 |
3 |
| Miami-Dade County, FL |
35,743 |
64,303 |
54,426 |
81,064 |
48 |
4 |
4 |
| Naples, FL |
38,792 |
60,782 |
43,792 |
64,782 |
52 |
3 |
2 |
| Ocala, FL |
30,128 |
48,203 |
34,727 |
55,068 |
52 |
3 |
2 |
| Orange County, FL |
36,583 |
59,332 |
41,253 |
64,002 |
56 |
3.7 |
3 |
| Panama City, FL |
27,392 |
35,102 |
NA |
NA |
53 |
4 |
4 |
| Pensacola, FL |
22,903 |
54,298 |
NA |
NA |
56 |
3 |
2 |
| St. Lucie County, FL |
36,114 |
58,908 |
43,400 |
71,671 |
48 |
5 |
5 |
| Sanford, FL |
34,674 |
53,227 |
35,793 |
54,944 |
56 |
3.5 |
3.5 |
| Sarasota County, FL |
34,986 |
60,024 |
42,486 |
67,524 |
48 |
2.5 |
2 |
| Tarpon Springs, FL |
34,549 |
50,258 |
42,437 |
59,127 |
56 |
3.4 |
2 |
| Tavares, FL |
35,468 |
42,311 |
42,311 |
49,155 |
53 |
3 |
3 |
| Titusville, FL |
36,109 |
45,136 |
41,359 |
52,386 |
56 |
3 |
3 |
| Winter Park, FL |
36,707 |
58,769 |
41,578 |
66,509 |
53 |
3 |
4 |
| Albany, GA |
31,000 |
40,000 |
NA |
NA |
56 |
4 |
4 |
| Athens-Clarke County, GA |
30,955 |
46,433 |
NA |
NA |
56 |
3.5 |
3 |
| Atlanta, GA |
34,564 |
49,571 |
NA |
NA |
53 |
3 |
3 |
| Columbus, GA |
29,590 |
45,025 |
32,662 |
49,699 |
56 |
4 |
3 |
| DeKalb County, GA |
30,636 |
55,944 |
34,428 |
62,856 |
53 |
3 |
3 |
| Honolulu, HI |
40,524 |
55,440 |
NA |
NA |
56 |
5 |
5 |
| Des Moines, IA |
44,895 |
56,169 |
51,625 |
63,258 |
53 |
3 |
4 |
| Newton, IA |
34,776 |
48,036 |
35,484 |
48,732 |
56 |
4 |
2 |
| Sioux City, IA |
40,119 |
54,820 |
NA |
NA |
56 |
3 |
4 |
| Coeur D'Alene, ID |
38,031 |
53,523 |
44,991 |
60,483 |
56 |
3 |
3 |
| Aurora, IL |
44,001 |
71,954 |
48,318 |
76,271 |
49.8 |
3 |
3 |
| Chicago, IL |
45,732 |
79,092 |
45,732 |
79,092 |
48 |
5 |
5 |
| Crystal Lake, IL |
47,333 |
69,842 |
47,333 |
69,842 |
52.4 |
2 |
NA |
| Decatur, IL |
45,192 |
57,672 |
NA |
NA |
51.8 |
3 |
3 |
| Elgin, IL |
50,993 |
67,966 |
51,313 |
68,286 |
51.4 |
3 |
3 |
| Franklin Park, IL |
47,880 |
66,073 |
33,000 |
39,000 |
50.6 |
3 |
3 |
| Joliet, IL |
48,972 |
78,764 |
54,115 |
84,091 |
50.4 |
5 |
5 |
| McHenry, IL |
42,000 |
42,000 |
47,800 |
47,800 |
NA |
3 |
3 |
| Niles, IL |
54,021 |
74,203 |
54,021 |
74,203 |
49.5 |
3 |
3 |
| Bloomington, IN |
35,000 |
55,000 |
NA |
NA |
56 |
4 |
3 |
| Carmel, IN |
47,898 |
57,295 |
51,898 |
61,295 |
56 |
4 |
4 |
| Indianapolis, IN |
38,876 |
50,810 |
41,776 |
53,710 |
48 |
4 |
4 |
| Muncie, IN |
42,220 |
49,270 |
NA |
NA |
NA |
4 |
3 |
| South Bend, IN |
35,535 |
50,075 |
40,535 |
55,075 |
56.2 |
3 |
3 |
| Westfield, IN |
36,924 |
46,441 |
39,000 |
47,577 |
56 |
3 |
2 |
| Kansas City, KS |
32,651 |
61,675 |
37,544 |
61,675 |
53.1 |
3 |
4 |
| Lawrence, KS |
36,295 |
51,284 |
43,284 |
59,746 |
56 |
4 |
3 |
| Olathe, KS |
35,100 |
62,940 |
41,292 |
66,018 |
56 |
4 |
4 |
| Overland Park, KS |
37,476 |
64,392 |
37,476 |
64,392 |
56 |
3 |
3 |
| Wichita, KS |
34,351 |
48,537 |
35,260 |
49,447 |
56 |
3 |
3 |
| Hebron, KY |
42,438 |
51,681 |
48,339 |
58,068 |
56 |
3 |
3 |
| Lafayette, LA |
21,996 |
2,132 |
NA |
NA |
53 |
3 |
2 |
| New Orleans, LA |
25,508 |
35,711 |
NA |
NA |
53 |
4 |
3 |
| St. George FPD, LA |
25,304 |
51,529 |
NA |
NA |
56 |
3 |
4 |
| Shreveport, LA |
31,242 |
NA |
NA |
NA |
56 |
3.3 |
2 |
| Brockton, MA |
34,000 |
53,000 |
35,500 |
54,500 |
42 |
3.5 |
3.5 |
| Cambridge, MA |
48,000 |
70,000 |
49,300 |
71,300 |
42 |
4 |
4 |
| Fitchburg, MA |
39,777 |
44,109 |
42,644 |
46,976 |
42 |
3 |
3 |
| Kingston, MA |
41,133 |
49,205 |
44,720 |
52,793 |
42 |
2.5 |
3 |
| Pittsfield, MA |
35,000 |
80,000 |
NA |
NA |
42 |
3 |
2 |
| Somerville, MA |
47,430 |
56,934 |
NA |
NA |
42 |
3 |
3 |
| Anne Arundel County, MD |
35,022 |
65,838 |
41,523 |
76,285 |
42 |
3 |
3 |
| Baltimore County, MD |
33,433 |
73,126 |
33,433 |
87,363 |
42 |
4 |
4 |
| Hagerstown, MD |
36,712 |
56,826 |
NA |
NA |
48 |
1.6 |
2 |
| Prince George's County, MD |
38,880 |
67,624 |
NA |
NA |
42 |
3 |
4 |
| Portland, ME |
28,195 |
42,260 |
29,755 |
43,820 |
42 |
3 |
3 |
| Flint, MI |
27,890 |
56,670 |
32,000 |
60,810 |
50.4 |
3 |
1 |
| Lansing, MI |
38,600 |
56,300 |
41,495 |
60,523 |
53.8 |
3 |
3 |
| Pontiac, MI |
29,600 |
44,762 |
29,600 |
48,714 |
50.4 |
3 |
5 |
| Royal Oak, MI |
38,661 |
55,225 |
41,753 |
59,643 |
53.1 |
2.5 |
2 |
| Saginaw, MI |
32,330 |
50,700 |
NA |
NA |
56 |
3 |
2.3 |
| Sterling Heights, MI |
40,497 |
64,818 |
42,521 |
68,053 |
56 |
4 |
2 |
| Duluth, MN |
41,300 |
65,000 |
NA |
NA |
56 |
3 |
3 |
| Minneapolis, MN |
42,692 |
59,280 |
NA |
NA |
54.5 |
3 |
4 |
| St. Paul, MN |
43,080 |
72,227 |
47,991 |
85,160 |
56 |
4 |
4 |
| Columbia, MO |
31,379 |
44,194 |
NA |
NA |
56 |
3 |
3 |
| Fulton, MO |
21,590 |
41,184 |
NA |
NA |
48 |
4 |
2 |
| Kansas City, MO |
30,408 |
63,372 |
NA |
NA |
49.5 |
4 |
4 |
| St. Joseph, MO |
30,032 |
42,715 |
NA |
NA |
56 |
3 |
3 |
| St. Louis, MO |
36,245 |
55,447 |
30,758 |
54,860 |
52 |
4 |
4 |
| Springfield, MO |
32,011 |
48,152 |
NA |
NA |
56 |
3 |
3 |
| Meridian, MS |
22,574 |
48,564 |
NA |
NA |
54 |
3 |
3 |
| Billings, MT |
41,442 |
71,838 |
NA |
NA |
43.5 |
3 |
2 |
| Helena, MT |
39,933 |
63,171 |
39,933 |
63,171 |
47 |
NA |
NA |
| Missoula, MT |
30,867 |
53,664 |
30,867 |
55,308 |
42 |
3 |
3 |
| Asheville, NC |
27,397 |
48,510 |
NA |
NA |
56 |
3.5 |
3 |
| Charlotte, NC |
32,391 |
68,943 |
NA |
NA |
52 |
4 |
4 |
| Durham, NC |
27,349 |
43,522 |
NA |
NA |
56 |
3 |
3 |
| Fayetteville, NC |
27,967 |
46,900 |
NA |
NA |
56 |
4 |
3 |
| High Point, NC |
31,235 |
53,704 |
NA |
NA |
56 |
3.5 |
3.5 |
| Raleigh, NC |
31,118 |
51,482 |
NA |
NA |
56.2 |
3.5 |
4.1 |
| Rocky Mount, NC |
27,545 |
41,318 |
NA |
NA |
52 |
4 |
4 |
| Salisbury, NC |
34,746 |
51,631 |
39,509 |
58,708 |
42 |
3 |
3 |
| Winston-Salem, NC |
28,610 |
60,720 |
NA |
NA |
56 |
3 |
3 |
| Grand Forks, ND |
35,057 |
52,586 |
NA |
NA |
53 |
3 |
3 |
| Manchester, NH |
37,364 |
53,272 |
NA |
NA |
42 |
3 |
2 |
| Portsmouth, NH |
36,562 |
47,786 |
39,487 |
51,609 |
42 |
3 |
3 |
| Atlantic City, NJ |
48,398 |
78,279 |
NA |
NA |
42 |
4 |
4 |
| Collingswood, NJ |
40,565 |
52,750 |
NA |
NA |
54 |
3 |
NA |
| Elizabeth, NJ |
40,804 |
71,456 |
NA |
NA |
42 |
4 |
4 |
| Englewood, NJ |
34,859 |
88,340 |
NA |
NA |
42 |
2 |
3 |
| Hackensack, NJ |
25,059 |
86,702 |
25,059 |
61,871 |
42 |
3 |
3 |
| Passaic, NJ |
34,000 |
77,328 |
NA |
NA |
42 |
4 |
4 |
| Paterson, NJ |
19,000 |
77,000 |
19,500 |
77,500 |
42 |
5 |
5 |
| Albuquerque, NM |
43,097 |
46,592 |
49,183 |
52,998 |
56 |
4 |
3 |
| Espanola, NM |
30,000 |
35,000 |
NA |
NA |
56 |
4 |
NA |
| Las Cruces, NM |
37,201 |
54,963 |
NA |
NA |
56 |
4 |
4 |
| Clark County, NV |
45,547 |
72,014 |
48,547 |
80,655 |
56 |
4 |
4 |
| Las Vegas, NV |
41,859 |
64,816 |
55,284 |
86,113 |
56 |
4 |
4 |
| North Las Vegas, NV |
52,497 |
73,983 |
60,371 |
81,857 |
56 |
4 |
5 |
| Albany, NY |
34,322 |
58,802 |
35,444 |
54,532 |
40 |
4 |
4 |
| Buffalo, NY |
37,757 |
51,702 |
NA |
NA |
40 |
4 |
4 |
| Eastchester, NY |
45,203 |
77,340 |
46,803 |
78,940 |
42 |
2 |
2 |
| Glens Falls, NY |
27,328 |
48,403 |
27,328 |
48,403 |
40 |
3 |
1 |
| New York, NY |
35,000 |
69,000 |
37,000 |
50,000 |
40 |
5 |
6 |
| Niagara Falls, NY |
37,758 |
53,212 |
NA |
NA |
42 |
3 |
3 |
| Rochester, NY |
34,428 |
60,121 |
NA |
NA |
42 |
4 |
6 |
| Schenectady, NY |
35,095 |
54,644 |
35,095 |
54,644 |
48 |
3 |
3 |
| Watertown, NY |
40,986 |
50,899 |
41,286 |
51,199 |
40 |
3 |
3 |
| Akron, OH |
43,959 |
50,981 |
43,659 |
50,981 |
48 |
4 |
4 |
| Canton, OH |
30,114 |
47,770 |
38,626 |
47,770 |
50.4 |
3 |
5 |
| Cincinnati, OH |
33,898 |
56,559 |
39,554 |
62,215 |
48 |
4 |
4 |
| Cleveland, OH |
44,122 |
51,797 |
44,155 |
41,797 |
45.2 |
4 |
4 |
| Columbus, OH |
34,902 |
53,456 |
34,902 |
57,732 |
48 |
4 |
4 |
| Dayton, OH |
29,120 |
36,430 |
36,403 |
49,233 |
48 |
4 |
4 |
| Jackson Township, Grove City, OH |
37,436 |
58,423 |
40,065 |
61,052 |
56 |
3 |
3 |
| Jerome Township, OH |
35,421 |
44,829 |
37,193 |
47,071 |
56 |
3.5 |
NA |
| Newark, OH |
29,786 |
46,280 |
31,930 |
49,612 |
48 |
3 |
3 |
| Norwich Township, OH |
36,816 |
65,744 |
36,816 |
65,744 |
56 |
4 |
4 |
| Springfield, OH |
41,225 |
52,064 |
41,225 |
53,181 |
51 |
3 |
3 |
| Toledo, OH |
36,470 |
54,812 |
36,470 |
58,100 |
48 |
4 |
3 |
| Upper Arlington, OH |
37,015 |
58,364 |
38,866 |
61,282 |
56 |
4 |
4 |
| Worthington. OH |
40,893 |
55,056 |
42,528 |
57,258 |
52 |
4 |
3 |
| Lawton, OK |
26,557 |
46,708 |
26,557 |
46,708 |
56 |
3 |
3 |
| Oklahoma City, OK |
36,540 |
54,455 |
NA |
NA |
40 |
5 |
4 |
| Tulsa, OK |
27,252 |
52,989 |
35,769 |
58,288 |
52 |
3 |
3 |
| Medford, OR |
49,827 |
62,313 |
54,560 |
68,232 |
56 |
3 |
NA |
| Portland, OR |
41,082 |
67,921 |
43,574 |
75,151 |
52.1 |
4 |
4 |
| Allentown, PA |
38,751 |
53,047 |
NA |
NA |
42 |
3 |
2 |
| Erie, PA |
30,431 |
55,201 |
31,040 |
56,305 |
42 |
4 |
4 |
| Greenville, PA |
23,410 |
33,443 |
NA |
NA |
56 |
1 |
1 |
| Philadelphia, PA |
38,481 |
53,444 |
38,481 |
58,788 |
42 |
4 |
5 |
| Reading, PA |
50,180 |
53,446 |
39,000 |
53,446 |
42 |
2 |
2 |
| Providence, RI |
41,132 |
46,332 |
43,732 |
48,932 |
42 |
3.5 |
3.7 |
| Columbia, SC |
28,491 |
45,363 |
NA |
NA |
56 |
4 |
4 |
| Myrtle Beach, SC |
29,963 |
51,071 |
32,738 |
57,562 |
53 |
3 |
2 |
| Spartanburg, SC |
27,052 |
39,516 |
NA |
NA |
56 |
2.4 |
2 |
| Rapid City, SD |
33,895 |
54,163 |
33,895 |
56,900 |
56 |
3 |
3 |
| Sioux Falls, SD |
36,363 |
51,796 |
NA |
NA |
54 |
4 |
4 |
| Bristol, TN |
29,450 |
46,050 |
32,450 |
50,700 |
56 |
3 |
1 |
| Kingsport, TN |
28,943 |
40,351 |
30,943 |
42,351 |
56 |
3.3 |
1 |
| Memphis, TN |
30,170 |
47,823 |
52,127 |
52,127 |
56 |
4 |
4 |
| Springfield, TN |
28,704 |
39,187 |
NA |
NA |
53 |
3 |
1 |
| Arlington, TX |
43,039 |
60,609 |
NA |
NA |
56 |
3 |
4 |
| Beaumont, TX |
42,000 |
55,836 |
NA |
NA |
48 |
3 |
2 |
| Bedford, TX |
43,823 |
57,329 |
45,023 |
58,529 |
53 |
3 |
3 |
| Brownsville, TX |
27,922 |
45,208 |
32,122 |
49,208 |
53 |
3 |
3 |
| Bryan, TX |
37,012 |
42,952 |
NA |
NA |
56 |
3 |
3 |
| Corpus Christi, TX |
39,408 |
45,816 |
46,860 |
49,848 |
54 |
3.5 |
3.5 |
| Fort Worth, TX |
46,592 |
59,488 |
NA |
NA |
56 |
4 |
4 |
| Grand Prairie, TX |
46,520 |
63,916 |
48,920 |
66,316 |
56 |
4 |
4 |
| Harlingen, TX |
29,000 |
35,500 |
NA |
NA |
56 |
3 |
1 |
| Houston, TX |
36,737 |
51,674 |
38,537 |
53,474 |
46.7 |
4 |
4 |
| Mesquite, TX |
51,060 |
65,172 |
51,060 |
65,172 |
56 |
3.8 |
3.1 |
| Plano, TX |
54,526 |
64,299 |
54,526 |
64,299 |
56 |
4 |
4 |
| San Antonio, TX |
42,456 |
49,956 |
51,648 |
53,736 |
53 |
4 |
4 |
| Texarkana, TX |
32,984 |
40,898 |
NA |
NA |
56 |
3 |
1 |
| Waco, TX |
38,036 |
50,369 |
NA |
NA |
56 |
3 |
3 |
| Salt Lake County, UT |
35,112 |
49,956 |
40,212 |
60,408 |
56 |
4 |
4 |
| Chesapeake, VA |
34,163 |
53,765 |
39,817 |
54,726 |
56 |
3.5 |
3 |
| Chesterfield County, VA |
38,000 |
66,501 |
43,000 |
71,501 |
56 |
3 |
3 |
| Fairfax City, VA |
45,951 |
71,285 |
50,661 |
78,593 |
56 |
4 |
3 |
| Fairfax County, VA |
46,125 |
75,135 |
50,853 |
75,135 |
56 |
4 |
3 |
| Hampton, VA |
34,650 |
59,905 |
39,417 |
64,098 |
52 |
3 |
4 |
| Henrico County, VA |
38,479 |
85,386 |
44,291 |
98,282 |
56 |
3 |
3 |
| Newport News, VA |
34,650 |
63,420 |
NA |
NA |
56 |
4 |
3 |
| Norfolk, VA |
35,492 |
54,008 |
43,182 |
65,708 |
52 |
4 |
3 |
| Portsmouth, VA |
32,983 |
54,420 |
34,631 |
57,140 |
53 |
3 |
3 |
| Burlington, VT |
33,251 |
56,138 |
NA |
NA |
56 |
2.6 |
2 |
| Marysville, WA |
48,592 |
69,418 |
56,228 |
77,054 |
49 |
3 |
3 |
| Olympia, WA |
74,198 |
93,824 |
83,605 |
102,586 |
49.8 |
3 |
3 |
| Seattle, WA |
52,488 |
65,604 |
72,168 |
75,444 |
45.7 |
4 |
4 |
| Spokane, WA |
42,869 |
72,941 |
58,640 |
81,365 |
46.2 |
3 |
4 |
| Tacoma, WA |
47,632 |
65,659 |
69,207 |
72,707 |
46.1 |
3 |
3 |
| Milwaukee, WI |
34,000 |
57,500 |
34,000 |
57,500 |
49.8 |
4 |
4 |
| Oshkosh, WI |
36,944 |
59,105 |
38,421 |
56,831 |
56 |
3 |
3 |
| Watertown, WI |
38,574 |
47,276 |
40,372 |
49,074 |
56 |
3 |
3 |
| Waukesha, WI |
38,084 |
59,878 |
48,933 |
62,273 |
56 |
3.25 |
3 |
| Wheeling, WV |
30,000 |
40,000 |
32,000 |
NA |
56 |
2 |
2 |
| CANADA |
| Edmonton, AB |
39,942 |
71,896 |
NA |
NA |
42 |
4 |
4 |
| Surrey, BC |
47,053 |
67,212 |
NA |
NA |
42 |
4 |
4 |
| St. John's, NL |
32,394 |
58,898 |
NA |
NA |
42 |
4 |
2 |
| Halifax Regional, NS |
32,157 |
64,315 |
NA |
NA |
42 |
4 |
NA |
| Brampton, ON |
49,371 |
82,791 |
NA |
NA |
42 |
4 |
4 |
| Toronto, ON |
49,351 |
73,658 |
NA |
NA |
42 |
5 |
5 |
| Montreal, QC |
35,536 |
61,802 |
NA |
NA |
42 |
4 |
3 |
| Saskatoon, SK |
44,477 |
68,622 |
NA |
NA |
42 |
4 |
4 |
Busiest Hazmat | DEPARTMENT | HAZMAT | TOTAL RUNS |
|---|
| 1. |
DeKalb County, GA |
HM19 |
2,608 |
| 2. |
Denver, CO |
HAMER1 |
1,586 |
| 3. |
Chandler, AZ |
L283 |
1,522 |
| 4. |
Lawton, OK |
HM1 |
1,457 |
| 5. |
Cincinnati, OH |
SQ14 |
1,448 |
| 6. |
Lansing, MI |
SQD46 |
991 |
| 7. |
Miami-Dade County, FL |
HM |
877 |
| 8. |
Houston, TX |
HM1022 |
855 |
| 9. |
Washington, DC |
HM1 |
848 |
| 10. |
New York, NY |
HM1 |
835 |
| 11. |
Memphis, TN |
R3 |
794 |
| 12. |
Albuquerque, NM |
SQ3 |
751 |
| 13. |
Colorado Springs, CO |
HM14 |
649 |
| 14. |
Los Angeles City, CA |
SQ4 |
526 |
| 15. |
Prince George's County, MD |
HM830 |
503 |
| 16. |
Los Angeles County, CA |
HM130 |
457 |
| 17. |
Fairfax County, VA |
HM440 |
451 |
| 18. |
Columbus, GA |
SQ6 |
418 |
| 19. |
Gainesville, FL |
HM2 |
394 |
| 20. |
Tulsa, OK |
HM1 |
374 |
| 21. |
Clark County, NV |
HZ24 |
354 |
| 22. |
Charlotte, NC |
HM1 |
334 |
| 23. |
Hollywood, FL |
HM31 |
330 |
| 24. |
Atlanta, GA |
SQ4 |
324 |
| 25. |
Kansas City, MO |
HM71 |
322 |
| 26. |
Oklahoma City, OK |
HM5 |
290 |
| 27. |
Chicago, IL |
511 |
276 |
| 28. |
Columbia, SC |
HM1 |
229 |
| 29. |
Fulton, MO |
E1 |
209 |
| 30. |
Honolulu, HI |
HM1 |
207 |
| 31. |
Tempe, AZ |
HM272 |
201 |
| 32. |
Glendale, AZ |
HM157 |
193 |
| 33. |
Baltimore County, MD |
HM114 |
184 |
| 34. |
Fayetteville, NC |
HM1 |
179 |
| 35. |
Salt Lake County, UT |
HM109 |
160 |
| 36. |
Scottsdale, AZ |
HM605 |
151 |
| 37. |
Orange County, FL |
SQ3 |
150 |
| 38. |
San Antonio, TX |
HM1 |
146 |
| 39. |
Tucson, AZ |
HZ1 |
143 |
| 40. |
Akron, OH |
HM/R4 |
140 |
| 40. |
Winston-Salem, NC |
HM1 |
140 |
| 42. |
Albany, NY |
RS |
136 |
| 43. |
New Orleans, LA |
HM1 |
135 |
| 44. |
Jersey City, NJ |
HM |
130 |
| 45. |
Mesa, AZ |
HM206 |
129 |
| 46. |
Stockton, CA |
HAZ10 |
128 |
| 47. |
Milwaukee, WI |
HM2 |
119 |
| 48. |
Philadelphia, PA |
HM1 |
118 |
| 49. |
Lafayette, LA |
HM1 |
116 |
| 50. |
Watertown, WI |
SQ1 |
114 |
| 51. |
Fort Worth, TX |
SQ2 |
111 |
| 52. |
Surprise, AZ |
HM305 |
110 |
| 53. |
Fort Lauderdale, FL |
HM88 |
107 |
| 54. |
Seaside, CA |
HM |
99 |
| 55. |
Fresno, CA |
HM1 |
92 |
| 56. |
St. Louis, MO |
Decon1 |
91 |
| 57. |
Orange County, CA |
H4 |
85 |
| 58. |
Indianapolis, IN |
HM13 |
83 |
| 59. |
Wichita, KS |
HZ10 |
81 |
| 60. |
Raleigh, NC |
HM15 |
80 |
| 61. |
Saginaw, MI |
HM1 |
75 |
| 62. |
Anaheim, CA |
HAZ8 |
66 |
| 62. |
Worthington. OH |
HM101 |
66 |
| 64. |
Anne Arundel County, MD |
SQ23 |
64 |
| 65. |
Las Vegas, NV |
HM3 |
62 |
| 66. |
Hampton, VA |
HM9 |
61 |
| 67. |
St. Lucie County, FL |
SO10 |
56 |
| 68. |
Tacoma, WA |
HM44 |
47 |
| 68. |
Dayton, OH |
HM1 |
42 |
| 68. |
Dothan, AL |
H2 |
42 |
| 71. |
New Haven, CT |
HM1 |
42 |
| 72. |
Plano, TX |
E182 |
41 |
| 72. |
Spokane, WA |
SHM |
41 |
| 74. |
Corpus Christi, TX |
HM12 |
40 |
| 74. |
Seattle, WA |
HAZ1 |
40 |
| 76. |
Arlington, TX |
HM6 |
39 |
| 76. |
South Bend, IN |
HM1 |
39 |
| 78. |
Aurora, CO |
HM1 |
35 |
| 78. |
Des Moines, IA |
HM1 |
35 |
| 80. |
Decatur, AL |
HM2 |
33 |
| 81. |
Kansas City, KS |
HM3 |
32 |
| 81. |
St. Paul, MN |
HM1 |
32 |
| 83. |
Arvada, CO |
HM4 |
31 |
| 83. |
Fort Walton Beach, FL |
SPECOPS |
31 |
| 83. |
Portsmouth, VA |
HM1 |
31 |
| 86. |
Bakersfield, CA |
HM15 |
30 |
| 86. |
Cambridge, MA |
HM1 |
30 |
| 86. |
Wheeling, WV |
R1 |
30 |
| 89. |
Henrico County, VA |
HM3 |
28 |
| 89. |
Rochester, NY |
HM1 |
28 |
| 91. |
Allentown, PA |
H55 |
27 |
| 91. |
Franklin Park, IL |
R1 |
27 |
| 93. |
Chesterfield County, VA |
HM15 |
25 |
| 93. |
Newport News, VA |
HM2 |
25 |
| 93. |
San Francisco, CA |
HM1 |
25 |
| 96. |
Chesapeake, VA |
HM5 |
24 |
| 96. |
Olathe, KS |
H52 |
24 |
| 98. |
Columbus, OH |
HM4 |
23 |
| 99. |
Stamford, CT |
HM1 |
22 |
| 100. |
Asheville, NC |
HM11 |
21 |
| 100. |
Hemet, CA |
HM4 |
21 |
| 100. |
Kingsport, TN |
HM5 |
21 |
| 100. |
Lawrence, KS |
HM5 |
21 |
| 100. |
Tuscaloosa, AL |
HM1 |
21 |
| 105. |
Springfield, OH |
HM1 |
18 |
| 106. |
Cleveland, OH |
C700 |
17 |
| 106. |
Durham, NC |
HM13 |
17 |
| 106. |
Santa Rosa, CA |
HM5 |
17 |
| 109. |
Sioux City, IA |
HAMER13 |
16 |
| 110. |
Hebron, KY |
H373 |
14 |
| 111. |
Las Cruces, NM |
HM4 |
12 |
| 111. |
Oshkosh, WI |
HM116 |
12 |
| 113. |
Brockton, MA |
H1 |
11 |
| 113. |
Grand Junction, CO |
HM12 |
11 |
| 113. |
Modesto, CA |
HM4 |
11 |
| 113. |
Waco, TX |
HM |
11 |
| 117. |
Athens-Clarke County, GA |
HM1 |
10 |
| 117. |
Billings, MT |
HAM4 |
10 |
| 117. |
Birmingham, AL |
HM301 |
10 |
| 117. |
Providence, RI |
SH1 |
10 |
| 117. |
Rapid City, SD |
HM6 |
10 |
| 117. |
Springfield, MO |
HM3 |
10 |
| 123. |
Atlantic City, NJ |
FS2 |
9 |
| 123. |
Carmel, IN |
HM45 |
9 |
| 123. |
Flint, MI |
HZ1 |
9 |
| 123. |
Longmont, CO |
HM2125 |
9 |
| 123. |
Newton, IA |
HM5055 |
9 |
| 123. |
Royal Oak, MI |
HMT |
9 |
| 129. |
Toledo, OH |
HM7 |
8 |
| 130. |
Albany, GA |
T41 |
7 |
| 130. |
Jefferson County, CO |
HM5 |
7 |
| 132. |
Beaumont, TX |
HM68 |
6 |
| 132. |
Columbia, MO |
HM |
6 |
| 132. |
Redding, CA |
HM24 |
6 |
| 132. |
Salinas, CA |
HM5360 |
6 |
| 136. |
Glens Falls, NY |
HM1 |
5 |
| 136. |
Jackson Township, Grove City, OH |
H203 |
5 |
| 136. |
Newark, OH |
HM5 |
5 |
| 136. |
Pontiac, MI |
HM1 |
5 |
| 140. |
Aurora, IL |
R22 |
4 |
| 140. |
Burlington, VT |
C11 |
4 |
| 140. |
Reading, PA |
HM1 |
4 |
| 140. |
Upper Arlington, OH |
Decon72 |
4 |
| 140. |
Watertown, NY |
CC70 |
4 |
| 140. |
Westminster, CO |
H1 |
4 |
| 146. |
Anniston, AL |
HM1 |
3 |
| 147. |
Bryan, TX |
SO1 |
2 |
| 147. |
Decatur, IL |
HM1 |
2 |
| 147. |
Grand Forks, ND |
HM512 |
2 |
| 147. |
Joliet, IL |
HM102 |
2 |
| 147. |
Union Colony, Greeley, CO |
HM4157 |
2 |
| 152. |
Duluth, MN |
CAT31 |
1 |
| 152. |
Medford, OR |
HM81 |
1 |
| 152. |
Westfield, IN |
Ops80 |
1 |
| CANADA |
| 1. |
Toronto, ON |
HX332 |
1,071 |
| 2. |
Edmonton, AB |
HZ1 |
798 |
| 3. |
Montreal, QC |
HM1729 |
220 |
| 4. |
Saskatoon, SK |
T40 |
165 |
| 5. |
Surrey, BC |
HAZ18 |
91 |
| 6. |
Halifax Regional, NS |
TACT1 |
61 |
| 7. |
Brampton, ON |
HM204 |
31 |
| 8. |
Burnaby, BC |
HM1 |
12 |