Asylum Outcome Continues to Depend on the Judge Assigned

The outcome for asylum seekers continues to depend on the identity of the immigration judge assigned to hear the case. If you, for example, were one of the 6,922 asylum seekers whose cases were decided in the San Francisco Immigration Court over the last six years, the odds of denial varied from only 9.4 percent all the way up to 97.1 percent depending upon the judge you had. For the 1,233 individuals whose cases were heard by the Newark Immigration Court, the odds of denial ranged between 10.9 percent all the way up to 98.7 percent depending upon the judge you appeared before. Stated another way, the odds of being granted asylum could be as high as 90 percent or as low as 3 percent in these two courts depending upon which immigration judge you were assigned.


Figure 1. Range in Judge Asylum Denial Rates
(Click for larger image)

The two courts with largest number of asylum cases, New York and Los Angeles, also had sizable judge- to-judge differences in judge asylum decisions. Although disparities were not quite as extreme as in San Francisco and Newark, the New York Immigration Court judge denial rates ranged from a low of only 3.0 percent up to a high of 58.5 percent. Denial rates were generally higher in Los Angeles. However, they were equally varied. The disparity in asylum outcomes among the judges on the Los Angeles court ranged from a low of 29.4 percent denied to a high of 97.5 percent. The remainder of the Los Angeles judges ranged widely between these two extremes.

Figure 1 shows the ten courts with the largest judge-to-judge differences in their asylum decisions.


Figure 2. Change in Asylum Decision Disparity in Ten Immigration Courts
(Click for larger image)

TRAC's 2016 detailed analysis of asylum decision disparities noted that while judge-to-judge decision disparities have long existed, between 2010 and 2016 judge-to-judge decision disparities got worse. Increased disparities were found in 12 out of the 16 courts studied last year. This year's report shows that these sizable disparities remain. For both Newark and San Francisco, in fact, disparity levels had worsened, as had judge-to-judge differences for the Chicago Immigration Court. The Los Angeles and San Diego courts saw modest improvement. See Figure 2. Results for the complete list of courts are shown in Table 1. Most courts saw little meaningful change[1].

Table 1. Asylum Decision Disparity by Immigration Court
Immigration Court Asylum Decisions Number of Judges* Judge Denial Rate Change from 2016 Report**
Lowest Highest Range
New York 36,310 35 3.0 58.5 55.5 -1.3
Los Angeles 12,404 34 29.4 97.5 68.1 -7.2
San Francisco 6,922 21 9.4 97.1 87.7 5.3
Houston 4,395 7 71.8 95.7 23.9 -5.4
Arlington 3,722 8 16.5 89.2 72.7 1.6
Baltimore 3,459 6 6.5 61.4 54.9 -0.7
Orlando 3,282 6 64.3 78.8 14.5 -4.2
Miami 3,257 13 52.6 85.7 33.1 -0.4
Seattle 3,152 5 52.9 70.5 17.6 0.2
Boston 2,207 7 21.8 55.8 34.0 -3.5
Chicago 2,100 8 28.7 95.6 66.9 12.1
Atlanta 2,029 5 79.1 97.8 18.7 -8.2
Miami - Krome 1,817 5 90.8 96.6 5.8 -1.5
Memphis 1,806 4 55.9 83.5 27.6 -4.4
San Antonio 1,762 7 24.9 97.7 72.8 0.1
Dallas 1,735 5 69.8 93.8 24.0 0.1
San Diego 1,649 7 46.2 88.1 41.9 -13.2
Adelanto 1,544 6 80.9 90.4 9.5 -7.1
Los Fresnos 1,519 4 74.2 98.2 24.0 20.5
Tacoma 1,497 4 71.8 84.0 12.2 10.3
Charlotte 1,295 3 75.4 85.7 10.3 -2.6
Cleveland 1,277 3 65.5 91.1 25.6 -1.8
Elizabeth 1,234 4 43.4 70.2 26.8 -0.6
Newark 1,233 6 10.9 98.7 87.8 4.9
Philadelphia 1,228 5 24.2 61.4 37.2 9.1
Las Vegas 1,165 4 86.5 97.3 10.8 5.6
Portland 1,117 2 47.0 55.4 8.4 -0.5
Bloomington 1,097 3 71.1 97.2 26.1 0.7
Detroit 1,088 5 74.4 81.5 7.1 -3.6
Hartford 1,004 2 40.9 71.6 30.7 2.8
Honolulu 992 2 21.4 27.7 6.3 -3.8
El Paso 953 5 94.6 98.8 4.2 -1.5
Omaha 862 3 62.3 87.7 25.4 7.6
Eloy 843 5 89.5 99.2 9.7 2.7
Lumpkin 828 3 95.8 97.7 1.9 1.4
Denver 791 4 35.4 62.4 27.0 -1.6
York 784 4 74.1 90.0 15.9 1.1
Pearsall 732 5 71.5 85.3 13.8 8.2
Houston - Detained 600 3 86.3 97.0 10.7 -2.2
Kansas City 572 3 63.7 71.3 7.6 1.6
Oakdale 568 3 87.7 100.0 12.3 5.4
Tucson 456 2 60.5 73.4 12.9 2.7
Batavia 428 2 81.3 82.7 1.4 (new court)
Florence 366 2 92.1 94.2 2.1 0.5
Harlingen 363 2 47.5 64.5 17.0 6.0
New Orleans 330 2 54.2 70.4 16.2 0.0
Phoenix 281 2 8.8 66.0 57.2 7.9
Aurora 233 2 77.6 83.3 5.7 -13.0
West Valley 212 1 75.0 75.0 (only 1 judge)
Imperial 208 1 86.5 86.5 (only 1 judge)
Buffalo 141 1 70.9 70.9 (only 1 judge)
New York - DET 122 1 69.7 69.7 (only 1 judge)
Hagatna 106 1 50.0 50.0 (only 1 judge)
* Judges who decided 100 or more asylum cases during FY 2012 - FY 2017.
** Compared with TRAC December 2016 report; increasing disparity indicated by positive values, while decrease in disparity shown by negative values.

Measuring Asylum Decision Disparity

Of course, in general it is natural for asylum decisions to vary since the merits of individual cases differ. Achieving the goal of "equal justice" under the law does not mean assuring the same outcome for every case. Decisions should reflect the individual merits of each situation, applying the standards that the law sets. Some individuals merit asylum, while others do not. And a host of factors can affect the outcome, including whether the individual is represented as well as the circumstances in the country the asylum seeker was from.

Prior Efforts at Reducing Asylum Decision Disparity

Eleven years ago, in July 2006, TRAC published its first report on the handling of asylum cases by the Immigration Courts. After examining all recorded cases in which immigration judges decided asylum cases from FY 1994 through the first few months of fiscal year 2005, TRAC found wide disparities in asylum denial rates had persisted from judge-to-judge throughout this period.

In August 2006, shortly after TRAC's report was published, then U.S. Attorney General Alberto Gonzales directed EOIR "to review [TRAC's] study and provide an analysis and, if appropriate, recommendations to the Deputy AG with respect to this issue." This specific directive was part of wider reform measures the Attorney General also announced.

EOIR's internal review confirmed that a problem did exist. Steps were taken through enhanced training, mentoring, and supervision to try to address the problem. TRAC's evaluation published in 2009 on the impact of these reforms found that decision disparities in asylum decisions had in fact decreased somewhat following these reforms.

Unfortunately, these improvements did not persist. TRAC's evaluation in 2016 indicated asylum decision disparity had risen markedly once more. During the intervening period the court has become increasingly challenged by a rising backlog of cases, and the focus of the administration had shifted to expediting proceedings to better cope with this rising workload.

Grant and denial rates are observed to vary markedly by the nationality of the asylum seeker[2]. However, regardless of nationality, if an asylum seeker is not represented by an attorney, almost all (91%) are denied.

As the composition of cases and the ability of asylum seekers to obtain representation varies from one court to another, one cannot meaningfully compare asylum decisions between judges sitting on different courts. Even if we control for representation status, we cannot tell to what degree the differences observed are because the composition - and hence the potential "worthiness" - of cases heard by each judge account for the differences in Judge A versus Judge B's denial rates.

When we compare the decisions of judges sitting on the same bench, however, the situation is different. To the extent incoming asylum cases within a court are assigned to judges on a random basis, the make- up of cases assigned to Judges A and B are roughly equivalent. These random assignment procedures parallel what happens in a scientific experiment where individuals are assigned randomly to different treatments, as in a drug trial. Here, however, instead of being assigned to different drug treatments, asylum seekers are assigned to different judges. When individual judges handle a sufficient number of asylum requests, random case assignment will result in each judge being assigned a roughly equivalent mix of "worthy" cases.

Immigration
Judge
Reports

Under these circumstances any large differences in the denial rates of individual judges are unlikely to be the result of differences in the nature of the incoming cases. Instead, they are likely to reflect the personal perspective that each judge brings to the bench. These differences are what TRAC means when it uses the term, decision disparity.

Table 2 lists the record of 293 Immigration Court judges -- sorted from highest to lowest asylum denial rates -- within the court each served on during the FY 2012 - FY 2017 period. More detailed information about each judge and his or her asylum decisions can be found in TRAC's latest individual judge-by-judge reports.

      Denial Rate
Immigration Court Judge Decisions % Grants % Denials
      Denial Rate
Immigration Court Judge Decisions % Grants % Denials
Adelanto Everett, Timothy R. 322 9.6 90.4
  Lee, Amy T. 492 9.6 90.4
  McGrail, Elizabeth H. 281 11.0 89.0
  Left, James M. 172 11.0 89.0
  Dorfman, Arlene E. 136 14.7 85.3
  Burke, David H. 141 19.1 80.9
Arlington Harris, Rodger C. 371 10.8 89.2
  Bain, Quynh Vu 193 57.5 42.5
  Owens, Robert P. 300 64.3 35.7
  Snow, Thomas G. 964 68.4 31.6
  Iskra, Wayne R. 350 75.4 24.6
  Burman, Lawrence O. 747 76.7 23.3
  Bryant, John Milo 397 82.9 17.1
  Schmidt, Paul W. 400 83.5 16.5
Atlanta Wilson, Earle B. 1114 2.2 97.8
  Cassidy, William A. 220 4.1 95.9
  Pelletier, Jonathan D. 408 11.8 88.2
  Garcia, Madeline 148 12.2 87.8
  Houser, Wayne K., Jr. 139 20.9 79.1
Aurora McGrail, Elizabeth H. 108 16.7 83.3
  Livingston, Donn L. 125 22.4 77.6
Baltimore Kessler, Elizabeth A. 511 38.6 61.4
  Williams, Phillip T. 947 43.5 56.5
  Dornell, Lisa 562 56.2 43.8
  Gossart, John F., Jr. 221 57.9 42.1
  Crosland, David W. 894 58.6 41.4
  Slavin, Denise N. 324 93.5 6.5
Batavia Connelly, Steven J. 225 17.3 82.7
  Reid, John B. 203 18.7 81.3
Bloomington Nickerson, William J., Jr. 218 2.8 97.2
  Olmanson, Kristin W. 346 26.6 73.4
  Conley de Castro, Susan E. 533 28.9 71.1
Boston Harris, Rodger C. 129 44.2 55.8
  O'Malley, Brenda M. 467 58.7 41.3
  D'Angelo, Matthew J. 440 65.5 34.5
  Feder, Robin E. 400 65.7 34.3
  Gagnon, Paul M. 260 66.2 33.8
  Shapiro, Leonard I. 213 67.6 32.4
  O'Sullivan, Maureen S. 298 78.2 21.8
Buffalo Montante, Philip J., Jr 141 29.1 70.9
Charlotte Couch, V. Stuart 414 14.3 85.7
  Pettinato, Barry J. 597 17.4 82.6
  Holmes-Simmons, Theresa 284 24.6 75.4
Chicago DiMarzio, Philip L. 180 4.4 95.6
  Zerbe, Craig M. 218 45.0 55.0
  Vinikoor, Robert D. 495 46.5 53.5
  Giambastiani, Jennie L. 344 50.9 49.1
  Perez-Guzman, Virginia 323 57.0 43.0
  McNulty, Sheila 189 59.3 40.7
  Cuevas, Carlos 236 64.0 36.0
  Deangelis, Kathryn L. 115 71.3 28.7
Cleveland Evans, D. William, Jr. 418 8.9 91.1
  Janas, Thomas 337 16.9 83.1
  Brown, Alison M. 522 34.5 65.5
Dallas Sims, Deitrich H. 289 6.2 93.8
  Ozmun, Richard R. 418 16.5 83.5
  Kimball, R. Wayne 616 17.0 83.0
  Weiss, Daniel H. 197 22.8 77.2
  Baird, Michael P. 215 30.2 69.8
Denver Tsankov, Mimi 149 37.6 62.4
  Livingston, Donn L. 241 48.1 51.9
  Cordova, David J. 124 49.2 50.8
  Trujillo, Eileen R. 277 64.6 35.4
Detroit Newberry, Robert D. 254 18.5 81.5
  Jebson, Mark J. 118 18.6 81.4
  Nettles, Marsha K. 147 19.7 80.3
  Gorland, Jennifer M. 198 19.7 80.3
  Paruch, David H. 371 25.6 74.4
El Paso Mahtabfar, Sunita B. 171 1.2 98.8
  Gonzalez, Guadalupe R. 112 2.7 97.3
  Roepke, Thomas C. 139 2.9 97.1
  Ruhle, Stephen M. 200 4.5 95.5
  Abbott, William L. 331 5.4 94.6
Elizabeth Tadal, Mirlande 530 29.8 70.2
  Finston, Leo A. 161 48.4 51.6
  Morris, Daniel A. 202 50.5 49.5
  Harbeck, Dorothy A. 341 56.6 43.4
Eloy DeVitto, James Alan 119 0.8 99.2
  Davis, John W. 133 3.8 96.2
  Feldman, Irene C. 194 6.2 93.8
  Spencer-Walters, Linda Inez 235 9.8 90.2
  Phelps, Richard A. 162 10.5 89.5
Florence Arellano, Silvia R. 137 5.8 94.2
  Taylor, Bruce A. 229 7.9 92.1
Hagatna Beamer, Dayna M. 106 50.0 50.0
Harlingen Ayala, David 245 35.5 64.5
  Tovar, Eleazar 118 52.5 47.5
Hartford Straus, Michael W. 647 28.4 71.6
  Verrillo, Philip 357 59.1 40.9
Honolulu Wagner, Clarence M., Jr. 282 72.3 27.7
  Beamer, Dayna M. 710 78.6 21.4
Houston Harris, Monique 835 4.3 95.7
  Picos, Georgina M. 160 6.9 93.1
  Endelman, Gary E. 1333 13.1 86.9
  Bhagat, Nimmo 1186 14.0 86.0
  Walton, Richard D. 217 14.7 85.3
  Brisack, Chris A. 384 16.4 83.6
  Rankin Yates, Clarease Rankin 280 28.2 71.8
Houston - Detained Luis, Lisa 135 3.0 97.0
  Walton, Richard D. 224 7.1 92.9
  Greenstein, Saul 241 13.7 86.3
Imperial Staton, Jack W. 208 13.5 86.5
Kansas City Baker, Glen R. 143 28.7 71.3
  O'Malley, John R. 192 30.7 69.3
  Davis, Paula V. 237 36.3 63.7
Las Vegas Sharda, Munish 263 2.7 97.3
  Romig, Jeffrey L. 551 8.3 91.7
  Alberdi, Yon K. 218 10.1 89.9
  Daugherty, Daniel J. 133 13.5 86.5
Los Angeles Munoz, Lorraine J. 715 2.5 97.5
  Walsh, John F. 245 2.9 97.1
  Anderson, David C. 162 4.3 95.7
  Ruane, Rachel A. 249 7.6 92.4
  Riley, Kevin W. 752 8.0 92.0
  Maury, Carlos E. 166 10.2 89.8
  Naselow-Nahas, Tara 1252 10.5 89.5
  Ho, Anna 205 13.2 86.8
  O'Connor, Lee A. 467 20.3 79.7
  Tabaddor, Afsaneh Ashley 547 21.4 78.6
  Aina, Nathan N. 102 23.5 76.5
  Peters, Rose C. 258 26.7 73.3
  Rooyani, Rodin 321 29.9 70.1
  Bither, Christine A. 201 30.3 69.7
  Latimore, Jan D. 331 32.3 67.7
  Giattina, Anthony T. 167 33.5 66.5
  Travieso, Frank M. 324 35.2 64.8
  Burke, David H. 237 35.9 64.1
  Parchert, Brett M. 458 36.7 63.3
  Sitgraves, Darcy D. 457 39.8 60.2
  Bank, Ira E. 436 43.6 56.4
  Laurent, Scott D. 146 43.8 56.2
  Stancill, Christine E. 679 44.2 55.8
  Little, Monica M. 443 44.5 55.5
  Dorfman, Arlene E. 347 44.7 55.3
  Hong, J. Traci 107 44.9 55.1
  Dunkel-Bradley, Dorothy A. 249 45.0 55.0
  Costa, Philip J. 409 49.1 50.9
  Bass, Lori R. 272 49.3 50.7
  Coughlon, Robert E. 161 56.5 43.5
  O'Sullivan, Maureen S. 393 61.1 38.9
  Vahid-Tehrani, Gita 416 64.9 35.1
  Bakke Varzandeh, Joyce A. 318 65.4 34.6
  Neumeister, David 412 70.6 29.4
Los Fresnos Crews, John G. 112 1.8 98.2
  Hunsucker, Keith E. 555 18.9 81.1
  Powell, Robert L. 619 21.2 78.8
  Achtsam, Howard E. 233 25.8 74.2
Lumpkin Duncan, Randall 129 2.3 97.7
  Arrington, Saundra H. 318 4.1 95.9
  Trimble, Dan 381 4.2 95.8
Memphis Kaufman, Matthew W. 328 16.5 83.5
  Holt, Rebecca L. 719 35.0 65.0
  Averwater, Richard J. 190 42.6 57.4
  Pazar, Charles E. 569 44.1 55.9
Miami Chapa, Teofilo 287 14.3 85.7
  Videla, Gabriel C. 119 14.3 85.7
  Lopez-Enriquez, Maria M. 304 21.1 78.9
  Martinez-Esquivel, Lourdes 343 25.9 74.1
  Alexander, Scott G. 212 27.4 72.6
  Marks Lane, Denise A. 307 29.6 70.4
  Sanders, Charles J. 169 29.6 70.4
  Dowell, J. Daniel 225 32.4 67.6
  Balasquide, Javier E. 187 32.6 67.4
  Torreh-Bayouth, Lilliana 432 34.3 65.7
  Mart, Herbert Kevin 279 34.4 65.6
  Mander, Stephen E. 260 46.9 53.1
  Rodriguez de Jongh, Lourdes A. 133 47.4 52.6
Miami - Krome Ford, Rex J. 590 3.4 96.6
  Opaciuch, John 383 5.0 95.0
  Opaciuch, Adam 416 8.4 91.6
  Chait, Barry S. 155 9.0 91.0
  Alexander, Scott G. 273 9.2 90.8
New Orleans Larocca, Joseph 199 29.6 70.4
  Stogner, William Wayne 131 45.8 54.2
New York Hom, Sandy K. 1033 41.5 58.5
  Vomacka, Alan A. 823 43.9 56.1
  Videla, Gabriel C. 151 47.0 53.0
  Nelson, Barbara A. 1086 49.4 50.6
  Christensen, Jesse B. 1528 63.6 36.4
  Poczter, Aviva L. 1645 64.6 35.4
  Cheng, Mary M. 768 71.0 29.0
  Loprest, F. James, Jr. 1323 75.9 24.1
  Tsankov, Mimi 126 78.6 21.4
  Kolbe, Margaret 266 78.9 21.1
  Balasquide, Javier E. 1061 79.8 20.2
  Wright, Virna A. 1004 80.9 19.1
  Van Wyke, William Van 705 81.1 18.9
  Segal, Alice 1184 82.3 17.7
  Rohan, Patricia A. 1290 84.4 15.6
  Zagzoug, Randa 1057 84.6 15.4
  Douchy, Evalyn P. 265 84.9 15.1
  Weisel, Robert D. 434 85.7 14.3
  Burr, Sarah M. 192 87.5 12.5
  Sichel, Helen J. 1558 88.0 12.0
  Morace, Philip L. 1755 88.5 11.5
  Laforest, Brigitte 1854 90.2 9.8
  Cassin, Olivia L. 388 90.5 9.5
  Chew, George T. 1612 91.1 8.9
  Schoppert, Douglas B. 1421 91.1 8.9
  Mulligan, Thomas J. 665 91.4 8.6
  Gordon-Uruakpa, Vivienne E. 1353 91.5 8.5
  McManus, Margaret 1792 93.1 6.9
  Cohen, Raisa 243 93.4 6.6
  Lamb, Elizabeth A. 1627 94.7 5.3
  Bain, Terry A. 1776 94.9 5.1
  Brennan, Noel A. 2182 95.3 4.7
  Khan, Amiena 153 96.1 3.9
  Bukszpan, Joanna M. 1144 96.2 3.8
  Leeds, Frederic G. 846 97.0 3.0
New York - DET Mulligan, Thomas J. 122 30.3 69.7
Newark Reichenberg, Margaret R. 149 1.3 98.7
  Finston, Leo A. 165 29.7 70.3
  Garcy, Annie S. 269 63.9 36.1
  Riefkohl, Alberto J. 346 80.1 19.9
  Khan, Amiena 167 86.8 13.2
  Leeds, Frederic G. 137 89.1 10.9
Oakdale Reese, Agnelis L. 198 0.0 100
  Beatmann, Jerry A., Sr. 142 6.3 93.7
  Duck, John A., Jr. 228 12.3 87.7
Omaha Morris, Daniel A. 310 12.3 87.7
  Anderson, Jack L. 430 18.8 81.2
  Fujimoto, James R. 122 37.7 62.3
Orlando Grim, James 836 21.2 78.8
  Chapman, Kevin J. 626 30.0 70.0
  Karden, Stuart F. 464 31.5 68.5
  Ortiz-Segura, Rafael B. 572 32.5 67.5
  Lippman, Daniel 364 35.2 64.8
  Ghartey, Victoria L. 420 35.7 64.3
Pearsall McKee, Robert R. 109 14.7 85.3
  Harlow, Craig A. 174 14.9 85.1
  Crossan, Thomas G., Jr. 196 20.4 79.6
  Santander, Daniel J. 130 22.3 77.7
  Freeman, D'anna H. 123 28.5 71.5
Philadelphia Carle, John B. 101 38.6 61.4
  Morley, Steven A. 368 53.8 46.2
  Mills, Miriam K. 196 66.8 33.2
  Malloy, Rosalind K. 270 69.3 30.7
  Honeyman, Charles M. 293 75.8 24.2
Phoenix Freerks, LaMonte S. 100 34.0 66.0
  Richardson, John W. 181 91.2 8.8
Portland Sloan, Andrea H. 570 44.6 55.4
  Bennett, Michael H. 547 53.0 47.0
San Antonio Miles, Vernon Benet 177 2.3 97.7
  Burkholder, Gary D. 471 3.6 96.4
  Crossan, Thomas G., Jr. 342 17.0 83.0
  McPhaul, Glenn P. 153 35.9 64.1
  Martinez, Anibal D. 264 40.2 59.8
  Zuniga, Bertha A. 178 55.1 44.9
  Burkhart, Margaret D. 177 75.1 24.9
San Diego Clemente, Jesus 294 11.9 88.1
  McSeveney, Robert 274 14.2 85.8
  Law, Philip S. 141 31.2 68.8
  DePaolo, Zsa Zsa 227 36.1 63.9
  Ipema, Henry P., Jr. 267 48.7 51.3
  Renner, Renee L. 290 50.0 50.0
  Fernandez, Ignacio P. 156 53.8 46.2
San Francisco Murry, Anthony S. 514 2.9 97.1
  Yamaguchi, Michael J. 169 5.3 94.7
  Tue, Phan-Quang 160 47.5 52.5
  Yeargin, Robert 193 48.7 51.3
  Teeter, Marilyn J. 175 57.7 42.3
  Geisse, Loreto S. 714 68.1 31.9
  Maggard, Robert P. 151 68.9 31.1
  Daw, Alison E. 328 72.6 27.4
  Webber, Polly A. 508 73.4 26.6
  Griswold, Stephen S. 517 73.9 26.1
  King, Carol A. 475 74.7 25.3
  Lyons, Joren 507 75.3 24.7
  Greene, Charles S., III. 296 79.4 20.6
  Hoogasian, Amy C. 284 79.6 20.4
  Paulino, Robin K. 148 83.1 16.9
  Hayward, Miriam R. 233 84.1 15.9
  Young, Elizabeth L. 138 84.1 15.9
  Savage, Patrick S. 174 86.8 13.2
  Marks, Dana Leigh 533 87.2 12.8
  Ramirez, Laura L. 534 89.3 10.7
  Jamil, Rebecca 171 90.6 9.4
Seattle Parchert, Brett M. 920 29.5 70.5
  Walsh, John F. 452 34.1 65.9
  Kandler, Edward R. 253 38.7 61.3
  Josephson, Kenneth 809 39.9 60.1
  Defonzo, Paul A. 718 47.1 52.9
Tacoma Zanfardino, Richard 131 16.0 84.0
  Odell, John C. 420 25.2 74.8
  Scala, Theresa M. 499 25.5 74.5
  Fitting, Tammy L. 447 28.2 71.8
Tucson Keenan, Sean H. 233 26.6 73.4
  O'Leary, Thomas Michael 223 39.5 60.5
West Valley Anderson, David C. 212 25.0 75.0
York Arthur, Andrew R. 160 10.0 90.0
  Ellington, John P. 156 12.2 87.8
  Bain, Quynh Vu 159 18.2 81.8
  Durling, Walter A. 309 25.9 74.1

Footnotes

[1] TRAC combined six years of data to increase the number of judges that made at least 100 asylum decisions. That number was needed to help ensure that differences weren't simply due to random fluctuations. This year's report examined FY 2012 - FY 2017 while last year's report was based on asylum decisions during FY 2011 - FY 2016. Since five out of six years that went into the comparison remained the same, large differences in the findings between these two reports would not be expected.

[2] See, for example, the 2016 TRAC report on the impact of nationality on asylum outcome. Among the ten nationalities that had the largest number of Immigration Court asylum cases decided during FY 2011 - FY 2016, Mexico had the highest denial rate with nine out of ten (89.6%) turned down. While asylum seekers from Ethiopia and Eritrea were the most successful among the top ten nationalities with denial rates of only 16.5 percent and 17.5 percent, respectively.

TRAC is a nonpartisan, nonprofit data research center affiliated with the Newhouse School of Public Communications and the Whitman School of Management, both at Syracuse University. For more information, to subscribe, or to donate, contact trac@syr.edu or call 315-443-3563.