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FY 2011 — Hearing Office Dispositions Per ALJ Per Day Rate Ranking Report(For Reporting Purposes: 09/25/2010 Through 11/26/2010 |
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A ranking of the 155 ODAR hearing offices by the average number of hearings dispositions per ALJ per day. The average shown will be a combined average for all ALJs working in that hearing office. Users will be able determine where a particular hearing office stands among the total with respect to this workload category. National Ranking Report
|
| Rank | Hearing Office |
Region
|
ALJ Dispositions Per Day Per ALJ |
|---|---|---|---|
|
1
|
TOLEDO, OH
|
05
|
14.02
|
|
2
|
RIO GRANDE VALLEY, TX
|
06
|
10.37
|
|
3
|
PONCE, PR
|
02
|
5.30
|
|
4
|
SHREVEPORT, LA
|
06
|
4.96
|
|
5
|
AKRON, OH
|
05
|
4.27
|
|
6
|
FORT SMITH, AR
|
06
|
3.71
|
|
7
|
ALEXANDRIA, LA
|
06
|
3.60
|
|
8
|
LITTLE ROCK, AR
|
06
|
3.54
|
|
9
|
HONOLULU, HI
|
09
|
3.41
|
|
10
|
FORT MYERS, FL
|
04
|
3.40
|
|
11
|
MAYAGUEZ, PR
|
02
|
3.35
|
|
12
|
SAN BERNARDINO, CA
|
09
|
3.26
|
|
13
|
BROOKLYN, NY
|
02
|
3.05
|
|
14
|
LANSING, MI
|
05
|
3.03
|
|
15
|
WILKES-BARRE, PA
|
03
|
2.97
|
|
16
|
CHARLOTTE, NC
|
04
|
2.90
|
|
16
|
HATTIESBURG, MS
|
04
|
2.90
|
|
18
|
CHARLESTON, WV
|
03
|
2.88
|
|
19
|
SAN JUAN, PR
|
02
|
2.87
|
|
19
|
CREVE COEUR, MO
|
07
|
2.87
|
|
21
|
COLORADO SPR, CO
|
08
|
2.83
|
|
21
|
ORLAND PARK, IL
|
05
|
2.83
|
|
23
|
JACKSON,MS
|
04
|
2.81
|
|
24
|
TULSA, OK
|
06
|
2.80
|
|
24
|
GREENVILLE, SC
|
04
|
2.80
|
|
26
|
COLUMBIA, SC
|
04
|
2.79
|
|
27
|
HUNTINGTON, WV
|
03
|
2.78
|
|
27
|
ORANGE, CA
|
09
|
2.78
|
|
29
|
LOS ANGELES Downtown, CA
|
09
|
2.77
|
|
30
|
SEVEN FIELDS, PA
|
03
|
2.76
|
|
30
|
MEMPHIS, TN
|
04
|
2.76
|
|
32
|
MCALESTER, OK
|
06
|
2.75
|
|
33
|
FORT WORTH, TX
|
06
|
2.74
|
|
33
|
FLINT, MI
|
05
|
2.74
|
|
35
|
MINNEAPOLIS, MN
|
05
|
2.73
|
|
35
|
KINGSPORT, TN
|
04
|
2.73
|
|
37
|
ATLANTA N., GA
|
04
|
2.72
|
|
38
|
ANCHORAGE, AK
|
10
|
2.71
|
|
39
|
MOBILE, AL
|
04
|
2.69
|
|
39
|
TOPEKA, KS
|
07
|
2.69
|
|
41
|
TUCSON, AZ
|
09
|
2.68
|
|
42
|
W. DES MOINES, IA
|
07
|
2.67
|
|
43
|
RALEIGH, NC
|
04
|
2.65
|
|
43
|
HARRISBURG, PA
|
03
|
2.65
|
|
45
|
MIDDLESBORO, KY
|
04
|
2.64
|
|
45
|
NASHVILLE, TN
|
04
|
2.64
|
|
45
|
METAIRIE, LA
|
06
|
2.64
|
|
48
|
ATLANTA, GA
|
04
|
2.60
|
|
49
|
PADUCAH, KY
|
04
|
2.59
|
|
49
|
LOS ANGELES West, CA
|
09
|
2.59
|
|
49
|
LONG BEACH, CA
|
09
|
2.59
|
|
52
|
PEORIA, IL
|
05
|
2.57
|
|
52
|
JOHNSTOWN, PA
|
03
|
2.57
|
|
52
|
PROVIDENCE, RI
|
01
|
2.57
|
|
55
|
ROCHESTER, NY
|
02
|
2.54
|
|
56
|
SALT LAKE CITY, UT
|
08
|
2.53
|
|
56
|
DALLAS Downtown, TX
|
06
|
2.53
|
|
56
|
SAN ANTONIO, TX
|
06
|
2.53
|
|
59
|
SPRINGFIELD, MA
|
01
|
2.52
|
|
59
|
NEWARK, NJ
|
02
|
2.52
|
|
61
|
LEXINGTON, KY
|
04
|
2.51
|
|
61
|
EVANSVILLE, IN
|
05
|
2.51
|
|
61
|
FORT WAYNE,IN
|
05
|
2.51
|
|
64
|
HARTFORD, CT
|
01
|
2.50
|
|
64
|
MANCHESTER, NH
|
01
|
2.50
|
|
66
|
KNOXVILLE, TN
|
04
|
2.49
|
|
66
|
CHATTANOOGA, TN
|
04
|
2.49
|
|
66
|
FORT LAUDERDALE, FL
|
04
|
2.49
|
|
66
|
OAK PARK, MI
|
05
|
2.49
|
|
66
|
SPOKANE, WA
|
10
|
2.49
|
|
71
|
NEW YORK, NY
|
02
|
2.48
|
|
72
|
MONTGOMERY, AL
|
04
|
2.47
|
|
72
|
SAVANNAH, GA
|
04
|
2.47
|
|
72
|
HOUSTON, TX
|
06
|
2.47
|
|
75
|
DOVER, DE
|
03
|
2.46
|
|
76
|
RICHMOND, VA
|
03
|
2.45
|
|
76
|
MORGANTOWN, WV
|
03
|
2.45
|
|
78
|
NEW HAVEN, CT
|
01
|
2.44
|
|
79
|
ALBANY, NY
|
02
|
2.43
|
|
79
|
LOUISVILLE, KY
|
04
|
2.43
|
|
79
|
ORLANDO, FL
|
04
|
2.43
|
|
82
|
VALPARAISO, IN
|
05
|
2.42
|
|
82
|
OMAHA, NE
|
07
|
2.42
|
|
82
|
ST. LOUIS, MO
|
07
|
2.42
|
|
85
|
WICHITA, KS
|
07
|
2.41
|
|
86
|
PORTLAND, ME
|
01
|
2.38
|
|
87
|
PHILADELPHIA East, PA
|
03
|
2.37
|
|
88
|
ELKINS PARK, PA
|
03
|
2.36
|
|
88
|
BIRMINGHAM, AL
|
04
|
2.36
|
|
88
|
CHICAGO, IL
|
05
|
2.36
|
|
91
|
INDIANAPOLIS, IN
|
05
|
2.35
|
|
91
|
BILLINGS, MT
|
08
|
2.35
|
|
93
|
MACON, GA
|
04
|
2.32
|
|
93
|
JERICHO, NY
|
02
|
2.32
|
|
93
|
LAS VEGAS, NV
|
09
|
2.32
|
|
96
|
MILWAUKEE, WI
|
05
|
2.31
|
|
96
|
TUPELO, MS
|
04
|
2.31
|
|
96
|
DETROIT, MI
|
05
|
2.31
|
|
99
|
BOSTON, MA
|
01
|
2.30
|
|
99
|
SAN JOSE, CA
|
09
|
2.30
|
|
101
|
CHARLOTTESVILLE, VA
|
03
|
2.27
|
|
101
|
PHOENIX NORTH, AZ
|
09
|
2.27
|
|
103
|
EVANSTON, IL
|
05
|
2.25
|
|
103
|
GRAND RAPIDS, MI
|
05
|
2.25
|
|
105
|
GREENSBORO, NC
|
04
|
2.24
|
|
105
|
STOCKTON, CA
|
09
|
2.24
|
|
107
|
OKLAHOMA CITY, OK
|
06
|
2.21
|
|
107
|
HOUSTON Downtown, TX
|
06
|
2.21
|
|
109
|
TAMPA, FL
|
04
|
2.20
|
|
109
|
PITTSBURGH, PA
|
03
|
2.20
|
|
109
|
SANTA BARBARA, CA
|
09
|
2.20
|
|
112
|
CINCINNATI, OH
|
05
|
2.19
|
|
113
|
NEW ORLEANS, LA
|
06
|
2.18
|
|
114
|
MADISON, WI
|
05
|
2.16
|
|
114
|
PORTLAND, OR
|
10
|
2.16
|
|
116
|
BALTIMORE, MD
|
03
|
2.15
|
|
117
|
JACKSONVILLE, FL
|
04
|
2.14
|
|
118
|
LIVONIA, MI
|
05
|
2.10
|
|
119
|
OAK BROOK, IL
|
05
|
2.09
|
|
119
|
SYRACUSE, NY
|
02
|
2.09
|
|
121
|
WASHINGTON, DC
|
03
|
2.08
|
|
121
|
CHARLESTON, SC
|
04
|
2.08
|
|
121
|
SACRAMENTO, CA
|
09
|
2.08
|
|
121
|
FRESNO, CA
|
09
|
2.08
|
|
125
|
DAYTON, OH
|
05
|
2.05
|
|
125
|
ROANOKE, VA
|
03
|
2.05
|
|
127
|
EUGENE, OR
|
10
|
2.04
|
|
127
|
SEATTLE, WA
|
10
|
2.04
|
|
129
|
ALBUQUERQUE, NM
|
06
|
2.03
|
|
129
|
DENVER, CO
|
08
|
2.03
|
|
131
|
NORFOLK, VA
|
03
|
2.02
|
|
132
|
SOUTH JERSEY, NJ
|
02
|
2.01
|
|
133
|
PHILADELPHIA, PA
|
03
|
2.00
|
|
134
|
DALLAS North, TX
|
06
|
1.99
|
|
135
|
SAN RAFAEL, CA
|
09
|
1.97
|
|
136
|
COLUMBUS, OH
|
05
|
1.96
|
|
137
|
BRONX, NY
|
02
|
1.95
|
|
138
|
WHITE PLAINS, NY
|
02
|
1.94
|
|
139
|
PASADENA, CA
|
09
|
1.93
|
|
140
|
SAN FRANCISCO, CA
|
09
|
1.88
|
|
141
|
QUEENS, NY
|
02
|
1.84
|
|
141
|
FLORENCE, AL
|
04
|
1.84
|
|
143
|
ST. PETERSBURG, FL
|
04
|
1.83
|
|
143
|
SAN DIEGO, CA
|
09
|
1.83
|
|
145
|
FARGO,ND
|
08
|
1.81
|
|
146
|
DOWNEY, CA
|
09
|
1.80
|
|
147
|
SPRINGFIELD, MO
|
07
|
1.78
|
|
148
|
PHOENIX, AZ
|
09
|
1.74
|
|
149
|
MIAMI, FL
|
04
|
1.53
|
|
150
|
KANSAS CITY, MO
|
07
|
1.51
|
|
150
|
OAKLAND, CA
|
09
|
1.51
|
|
152
|
CLEVELAND, OH
|
05
|
1.43
|
|
152
|
BUFFALO, NY
|
02
|
1.43
|
|
154
|
TALLAHASSEE, FL
|
04
|
1.26
|
|
155
|
COVINGTON, GA
|
04
|
1.18
|
Disclaimer: These data are being made publicly available for research purposes. Any findings and conclusions derived from analyses of these data are attributable to the researcher(s) and do not reflect those of the Social Security Administration.
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