2007 National Run Survey - Part 1

Fire Department Profiles 2007 Part 1 DEPARTMENT POPULATION BUDGET IN MILLIONS NUMBER OF ENGINES NUMBER OF LADDERS NUMBER OF AMBULANCES NUMBER OF MEDICS NUMBER OF CHIEFS TOTAL STRENGHT Anniston, AL 25,000 4.9 5 2 0 3 1 88...


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Fire Department Profiles
2007 Part 1
DEPARTMENT POPULATION BUDGET IN MILLIONS NUMBER OF ENGINES NUMBER OF LADDERS NUMBER OF AMBULANCES NUMBER OF MEDICS NUMBER OF CHIEFS TOTAL STRENGHT
Anniston, AL 25,000 4.9 5 2 0 3 1 88
Birmingham, AL 242,820 50.2 30 2 16 17 4 710
Decatur, AL 53,500 7.4 6 2 0 0 1 110
Dothan, AL 67,000 12.0 8 2 0 8 2 170
Florence, AL 36,264 5.8 5 1 0 0 1 92
Minor Heights, AL 4,600 0.3 2 0 0 2 1 29
Tuscaloosa, AL 79,300 15.8 12 3 3 4 6 236
Chandler, AZ 241,757 24.0 10 2 4 16 2 227
Gilbert, AZ 204,000 33.6 8 3 0 11 2 184
Glendale, AZ 247,987 38.6 10 2 0 16 2 282
Maricopa, AZ 30,000 12.0 3 1 0 4 1 78
Mesa, AZ 460,155 71.3 19 5 0 26 3 478
Phoenix, AZ 1,551,009 269.7 62 14 33 53 11 2,060
Scottsdale, AZ 238,000 26.7 13 3 2 18 2 260
Surprise, AZ 110,000 13.4 5 1 0 6 1 132
Tempe, AZ 166,000 22.4 7 2 0 7 1 160
Tucson, AZ 553,425 84.0 22 10 18 29 4 762
Anaheim, CA 350,000 58.0 12 5 6 13 2 277
Apple Valley, CA 78,000 7.6 4 1 0 5 1 54
Auburn, CA 12,942 1.4 1 0 0 0 1 13
Bakersfield, CA 323,213 31.5 13 3 0 3 4 183
Camp Roberts, CA 25,000 1.1 6 0 0 0 0 16
Compton, CA 99,563 15.0 4 1 2 2 1 90
Contra Costa County, CA 600,000 101.0 28 7 0 28 4 406
El Cajon, CA 97,255 13.1 4 1 3 6 1 66
Fresno, CA 481,000 42.8 22 6 0 0 4 379
Hemet, CA 70,000 10.5 5 1 0 0 1 64
Long Beach, CA 491,564 56.0 21 5 14 19 3 569
Los Angeles City, CA 4,018,080 534.5 101 49 129 137 19 3,594
Los Angeles County, CA 4,040,392 910.7 157 32 0 105 34 4,780
Modesto, CA 215,000 28.0 11 3 0 2 2 189
Mountain Ranch, CA 5,000 0.4 1 0 0 0 1 NA
Ontario, CA 170,373 32.8 8 2 0 8 2 153
Orange County, CA 1,300,000 218.2 75 13 3 0 24 792
Pasadena, CA 146,166 38.2 8 2 5 10 1 169
Redding, CA 97,000 14.5 8 1 0 0 1 95
Salinas, CA 151,060 14.5 6 1 0 6 1 97
San Francisco, CA 800,000 240.0 42 19 19 40 11 1,658
San Luis Obispo, CA 45,000 9.7 3 1 0 3 2 53
Santa Cruz City, CA 56,500 11.9 3 1 0 4 2 55
Santa Rosa, CA 162,000 NA 10 2 0 10 2 155
Seaside, CA 33,450 4.5 1 1 0 0 1 28
Somerset, CA 8,000 1.3 3 0 0 1 1 38
Stockton, CA 360,000 56.8 13 4 0 13 2 276
Vacaville, CA 96,735 16.4 3 1 4 4 1 214
Watsonville, CA 51,528 4.6 2 1 0 0 1 35
Adams County, CO 40,000 3.9 3 1 2 2 0 41
Arvada, CO 105,000 14.9 6 2 0 0 1 NA
Aurora, CO 309,416 31.8 14 4 0 15 3 329
Boulder, CO 103,000 12.5 7 1 0 0 1 111
Colorado Springs, CO 402,000 54.1 20 6 0 21 3 510
Denver, CO 550,000 NA 30 15 0 0 7 914
Grand Junction, CO 81,193 12.2 4 1 7 9 1 119
Jefferson County, CO 265,000 44.4 15 2 9 27 2 323
Longmont, CO 84,636 9.3 5 1 0 5 1 86
Union Colony, Greeley, CO 87,596 11.5 6 1 0 6 1 110
Westminster, CO 108,710 10.6 6 1 4 6 1 135
Bridgeport, CT 140,000 21.9 8 4 0 0 3 314
Danbury, CT 80,000 9.6 6 2 0 0 1 125
Fairfield, CT 58,170 10.9 5 1 0 0 1 99
Hartford, CT 125,000 30.0 11 5 0 0 2 326
Meriden, CT 58,698 7.4 5 1 0 0 1 99
New Britain, CT 70,746 12.2 6 2 0 0 1 166
New Haven, CT 128,000 28.0 10 4 2 2 3 320
Norwalk, CT 83,000 13.7 5 2 0 0 1 137
Stamford, CT 127,900 30.3 7 3 0 0 1 243
Waterbury, CT 110,000 18.5 9 1 0 0 2 240
Washington, DC 588,000 178.0 33 16 21 42 8 2,071
Wilmington, DE 75,000 16.5 6 2 1 0 1 175
Clearwater, FL 140,000 21.4 8 2 6 10 2 212
Deltona, FL 86,000 9.1 4 1 1 6 1 90
Estero, FL 43,000 12.9 3 1 0 6 1 68
Fort Lauderdale, FL 200,004 62.0 12 3 13 25 4 464
Fort Walton Beach, FL 20,000 3.0 1 1 0 3 1 39
Gainesville, FL 122,671 13.1 5 3 0 9 2 154
Hollywood, FL 140,000 38.2 6 3 8 8 1 238
Melbourne, FL 78,386 14.7 8 1 0 8 1 170
Miami-Dade County, FL 1,715,574 421.9 50 6 55 91 22 2,541
Naples, FL 23,000 7.0 3 1 0 2 1 61
Orange County, FL 710,000 139.4 41 4 29 57 7 1,180
Panama City, FL 37,540 6.0 5 1 0 0 1 80
Pensacola, FL 59,000 10.9 6 2 0 0 1 138
St. Lucie County, FL 271,961 123.1 17 5 17 21 3 438
Sanford, FL 51,000 8.0 3 1 3 3 1 90
Sarasota County, FL 340,000 74.4 21 3 25 33 4 454
Tarpon Springs, FL 38,253 3.9 2 1 0 2 1 38
Tavares, FL 283,738 21 16 1 0 10 2 182
Titusville, FL 44,506 5.5 2 2 2 7 1 63
Winter Park, FL 28,000 9.2 3 1 2 6 1 73
Albany, GA 96,000 13.0 11 2 0 0 1 156
Athens-Clarke County, GA 110,000 11.9 9 3 0 0 2 185
Atlanta, GA 420,000 88.8 36 15 3 13 8 1,038
Columbus, GA 186,291 22.8 13 5 9 13 3 377
DeKalb County, GA 726,900 72.0 26 7 21 37 6 860
Honolulu, HI 371,657 76.0 42 13 0 0 8 1,054
Cedar Rapids, IA 122,000 14.0 7 3 0 5 2 132
Des Moines, IA 201,785 31.4 10 6 7 10 2 311
Newton, IA 16,000 2.5 4 1 3 5 2 32
Sioux City, IA 85,013 11.8 7 2 0 0 1 115
Coeur D'Alene, ID 44,073 5.9 2 1 2 3 0 53
Aurora, IL 175,000 31.6 9 3 6 9 2 214
Chicago, IL 2,800,000 449.6 96 61 75 119 30 5,101
Crystal Lake, IL 60,000 6.7 3 0 3 6 1 73
Decatur, IL 81,860 14.1 5 3 0 0 1 116
Elgin, IL 103,252 15.4 6 2 5 5 1 129
Frankfort, IL 45,342 13.0 4 2 4 8 0 54
Franklin Park, IL 20,000 3.3 3 1 2 2 1 60
Joliet, IL 145,000 22.0 9 3 9 0 2 212
McHenry, IL 52,000 7.6 4 1 4 4 1 160
Niles, IL 30,100 8.2 2 1 2 2 1 55
Bloomington, IN 75,000 9.0 5 1 0 0 1 110
Carmel, IN 68,677 17.0 6 1 3 11 1 150
Indianapolis, IN 536,809 131.0 34 18 8 46 8 949
Muncie, IN 65,287 8.6 7 1 0 0 1 110
South Bend, IN 107,789 25.6 11 4 4 4 2 248
Westfield, IN 40,000 4.8 2 1 2 2 1 56
Kansas City, KS 146,000 40.5 16 6 12 19 3 461
Lawrence, KS 90,000 12.7 5 1 6 6 1 132
Olathe, KS 123,000 13.1 4 4 0 8 2 131
Overland Park, KS 170,000 17.9 4 4 5 10 2 144
Wichita, KS 357,698 35.5 21 4 0 0 10 415
Hebron, KY 25,000 3.4 2 1 2 4 1 52
Lafayette, LA 119,485 17.1 13 4 0 0 4 257
New Orleans, LA 300,000 63.0 32 10 0 0 7 675
St. George FPD, LA 90,000 11.0 8 2 0 0 1 151
Shreveport, LA 204,000 45.3 21 7 9 14 7 625
Brockton, MA 97,000 17.8 5 3 0 4 1 199
Cambridge, MA 110,000 34.0 8 4 0 3 2 280
Fitchburg, MA 40,000 6.0 3 1 1 0 1 84
Kingston, MA 12,194 1.7 2 1 2 3 0 22
Pittsfield, MA 45,793 5.7 5 1 0 0 1 87
Somerville, MA 77,478 10.5 5 3 0 0 2 138
Anne Arundel County, MD 512,000 95.3 29 11 12 25 4 823
Baltimore County, MD 809,300 86.0 55 13 52 NA 3 1,082
Hagerstown, MD 35,800 6.2 5 2 0 0 1 74
Prince George's County, MD 828,770 122.1 43 NA 42 17 12 2,037
Portland, ME 65,000 14.1 6 4 4 5 1 242
Flint, MI 125,000 13.1 6 1 0 1 1 120
Lansing, MI 114,000 29.0 9 4 4 0 2 220
Pontiac, MI 66,000 13.1 5 2 3 3 1 110
Royal Oak, MI 60,000 7.6 3 1 3 3 0 61
Saginaw, MI 57,523 10.5 4 2 0 0 1 64
Sterling Heights, MI 131,000 15.7 5 1 0 5 1 101
Duluth, MN 85,300 16.5 10 2 0 0 1 129
Minneapolis, MN 382,618 48.4 19 5 0 0 5 432
St. Paul, MN 287,151 47.2 16 7 0 11 4 456
Columbia, MO 96,093 13.4 8 2 0 0 2 135
Fulton, MO 12,324 1.4 3 1 0 0 0 23
Kansas City, MO 500,000 95.0 33 12 0 0 8 1,013
St. Joseph, MO 79,000 10.1 7 2 0 0 1 134
St. Louis, MO 345,000 51.0 30 4 13 13 8 830
Springfield, MO 162,000 14.8 10 4 0 0 5 216
Meridian, MS 39,968 5.8 7 1 0 0 1 111
Billings, MT 103,000 13.5 7 1 0 0 1 124
Helena, MT 30,000 3.2 NA NA NA NA NA 37
Missoula, MT 65,000 8.3 4 2 0 0 1 87
Asheville, NC 74,307 15.6 10 4 0 0 3 227
Charlotte, NC 658,848 81.6 39 14 0 0 7 1,083
Durham, NC 215,287 20.0 15 4 0 0 3 301
Fayetteville, NC 174,000 19.2 14 5 0 0 3 302
High Point, NC 96,867 17.0 13 3 0 0 2 274
Raleigh, NC 353,604 38.7 27 7 0 0 5 504
Rocky Mount, NC 57,057 9.1 7 2 0 0 1 150
Salisbury, NC 27,172 6.3 4 2 5 7 2 66
Winston-Salem, NC 221,014 25.0 18 5 0 0 3 340
Grand Forks, ND 49,366 4.7 3 1 0 0 1 63
Manchester, NH 110,000 20.6 11 6 0 11 1 258
Portsmouth, NH 20,674 6.1 2 1 2 2 1 61
Atlantic City, NJ 41,000 19.4 7 3 0 0 1 NA
Collingswood, NJ 14,326 1.2 2 1 1 0 2 17
Elizabeth, NJ 120,568 24.0 7 3 0 0 2 268
Englewood, NJ 28,000 6.3 2 1 0 0 0 65
Hackensack, NJ 43,671 NA 4 1 2 2 1 162
Jersey City, NJ 250,000 66.4 16 9 0 0 2 612
Newark, NJ 281,402 67.0 17 9 0 0 5 700
Passaic, NJ 70,000 10.9 4 2 0 0 1 115
Paterson, NJ 150,000 NA 7 3 5 0 1 326
Albuquerque, NM 507,789 68.0 23 6 17 18 4 681
Espanola, NM 10,000 1.1 1 0 0 0 0 13
Las Cruces, NM 87,000 10.2 6 2 0 3 1 112
Clark County, NV 877,233 217.0 26 6 23 50 3 632
Las Vegas, NV 603,093 114.1 19 6 19 36 3 685
North Las Vegas, NV 214,971 36.9 6 2 6 14 2 211
Albany, NY 98,000 26.9 8 4 0 4 2 260
Buffalo, NY 292,000 51.5 19 9 0 0 6 700
Eastchester, NY 40,000 12.0 4 2 0 0 1 75
Glens Falls, NY 15,000 3.1 3 1 0 1 2 38
New York, NY 8,000,000 1300.0 198 143 233 70 66 15,600
Niagara Falls, NY 52,000 11.8 5 2 0 0 1 133
Rochester, NY 210,000 41.9 8 9 0 0 4 515
Schenectady, NY 61,000 7.8 4 2 0 5 1 117
Watertown, NY 26,705 7.6 3 1 0 0 1 82
Akron, OH 217,074 39.0 13 5 13 13 1 353
Canton, OH 80,806 15.1 7 2 4 4 3 166
Cincinnati, OH 368,000 64.3 26 12 6 18 4 834
Cleveland, OH 444,313 88.0 24 13 0 0 6 892
Columbus, OH 769,934 184.8 34 15 32 71 8 1,549
Dayton, OH 166,179 36.1 7 5 7 9 2 378
Jackson Township, Grove City, OH 39,174 10.2 4 1 5 5 2 100
Jerome Township, OH 4,500 1.0 2 0 2 4 1 33
Newark, OH 50,000 9.1 3 2 3 8 1 78
Norwich Township, OH 32,000 10.5 4 1 3 7 1 86
Springfield, OH 65,358 12.0 7 3 8 8 1 130
Toledo, OH 298,446 55.0 17 4 5 5 3 492
Upper Arlington, OH 34,000 8.1 1 1 2 4 1 61
Worthington. OH 15,000 5.2 1 1 2 3 1 50
Lawton, OK 95,000 10.4 7 2 0 3 1 128
Oklahoma City, OK 555,000 107.6 38 13 0 22 6 954
Tulsa, OK 382,457 63.3 29 13 0 9 6 714
Medford, OR 98,000 9.5 5 0 0 0 2 77
Portland, OR 563,916 84.4 30 9 0 33 5 722
Allentown, PA 106,000 12.0 7 2 0 0 1 140
Erie, PA 103,000 14.6 4 2 0 0 1 135
Greenville, PA 6,500 0.5 2 1 0 0 1 7
Philadelphia, PA 1,448,394 189.0 59 30 45 45 13 2,400
Reading, PA 82,135 13.8 7 3 3 3 2 148
Providence, RI 190,000 40.3 14 8 5 0 3 475
Columbia, SC 327,000 31.8 30 4 0 0 5 545
Florence, SC 30,000 4.2 4 0 0 0 1 NA
Myrtle Beach, SC 105,000 10.0 6 2 2 2 1 136
Spartanburg, SC 39,400 4.1 5 2 0 0 1 75
Rapid City, SD 57,000 9.6 6 1 3 4 1 130
Sioux Falls, SD 151,300 17.9 10 1 0 0 2 193
Bristol, TN 25,435 NA 3 2 2 3 1 51
Kingsport, TN 44,905 6.8 7 1 0 7 1 103
Memphis, TN 646,356 130.5 56 27 33 72 16 1,892
Springfield, TN 15,500 2.3 3 0 0 0 2 41
Arlington, TX 364,300 34.0 16 5 0 0 3 302
Beaumont, TX 114,000 19.0 12 3 0 0 4 227
Bedford, TX 49,500 6.4 2 1 3 7 1 63
Brownsville, TX 168,000 17.2 8 1 6 8 1 189
Bryan, TX 67,000 10.5 4 1 3 8 1 113
Corpus Christi, TX 279,000 38.0 15 5 9 21 3 400
Fort Worth, TX 686,850 97.5 36 4 0 0 6 926
Grand Prairie, TX 161,500 20.7 9 3 8 17 1 209
Harlingen, TX 67,300 6.4 6 2 0 0 2 109
Houston, TX 2,016,582 388.0 86 37 57 43 21 4,025
Mesquite, TX 136,750 21.6 7 2 6 13 1 199
Plano, TX 255,700 42.3 12 4 7 19 3 319
San Antonio, TX 1,322,900 206.5 49 19 37 37 8 1,622
Texarkana, TX 37,000 NA 5 2 0 0 1 79
Waco, TX 121,400 16.9 12 3 0 0 1 191
Salt Lake County, UT 330,000 42.0 14 5 4 19 3 552
Chesapeake, VA 216,000 35.4 17 3 10 30 3 446
Chesterfield County, VA 311,000 39.3 21 5 11 30 4 461
Fairfax City, VA 22,500 12.1 2 1 2 5 1 75
Fairfax County, VA 1,077,000 NA 37 14 42 68 8 NA
Hampton, VA 147,000 16.2 10 2 9 21 2 259
Henrico County, VA 300,000 42.5 20 5 12 14 3 534
Newport News, VA 180,150 30.4 11 7 11 0 2 373
Norfolk, VA 238,832 35.5 14 7 11 11 4 508
Portsmouth, VA 99,617 24.0 10 3 5 9 2 263
Burlington, VT 42,000 4.7 5 1 2 0 1 79
Marysville, WA 65,000 10.0 3 1 2 2 1 100
Olympia, WA 44,000 9.6 3 1 0 2 1 83
Spokane, WA 202,900 34.7 14 3 0 7 2 318
Tacoma, WA 220,730 50.8 16 4 5 9 2 412
Green Bay, WI 102,313 18.6 7 3 4 4 2 198
Milwaukee, WI 600,000 79.0 37 16 0 12 6 1,015
Oshkosh, WI 65,810 10.0 4 2 9 15 1 108
Watertown, WI 23,155 2.2 3 1 3 3 2 40
Waukesha, WI 68,000 10.2 4 1 3 3 1 97
Wheeling, WV 32,429 6.7 6 2 3 3 3 96
CANADA
Edmonton, AB 730,372 104.1 24 8 0 0 5 944
Burnaby, BC 190,000 26.4 7 4 0 11 1 274
Surrey, BC 395,000 40.3 13 6 0 0 1 369
St. John's, NL 138,816 19.1 7 0 0 0 4 216
Halifax Regional, NS 382,200 48.8 18 NA 0 0 1 1,129
Brampton, ON 450,000 41.0 11 2 0 0 2 374
Toronto, ON 2,700,000 338.5 88 31 0 0 20 3,144
Laval, QC 375,759 24.3 9 3 0 0 1 236
Montreal, QC 1,854,442 286.5 68 50 0 0 13 2,671
Saskatoon, SK 207,700 28.7 11 2 0 0 4 308

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