Guinea
Sufficient sampleTotal decisions
42
Grants
22
Denials
20
Immigration judge
Public EOIR asylum decision statistics
Grant rate
31.1%
87 / 280
Total decisions
280
Merits decision sample in current public statistics
Grant rate
31.1%
Grants: 87
Denial rate
68.9%
Denials: 193
Other relief rate
0.0%
Other relief: 0
This profile is summarized from public sources for background context only. It is not an ImmJudge evaluation.
Chevone Teranza Sanon was appointed as an immigration judge to begin hearing cases in November 2024. Judge Sanon earned a Bachelor of Arts in 2000 from John Jay College of Criminal Justice and a Juris Doctor in 2005 from CUNY School of Law. From 2019 to 2024, she was at the New York State Department of Motor Vehicles in the Traffic Violations Bureau in New York serving in the following positions: senior administrative law judge (2021-2024) and administrative law judge (2019-2021). From 2018 to 2019, she served as a senior attorney at the New York State Department of Financial Services in New York. From 2016 to 2018, she served as a senior attorney at the New York State Division of Human Rights in New York. Judge Sanon is a member of the New York State Bar.
This summary is based on public material and may not reflect the latest assignment information.
Source: TRAC Judge Report · View original report
Community perspective
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This table shows anonymized case details. It does not include applicant names, case numbers, A Numbers, or EOIR internal case IDs. Results are informational only, not legal advice, and cannot predict any individual case outcome.
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Review this judge's historical asylum outcomes for applicants from different nationalities.
| Nationality | Total decisions | Grants | Denials | Grant rate | Denial rate | Distribution | Action |
|---|---|---|---|---|---|---|---|
Guinea Sufficient sample | 42 | 22 | 20 | 52.4% | 47.6% | View details | |
Ecuador Sufficient sample | 39 | 0 | 39 | 0.0% | 100.0% | View details | |
Singapore Sufficient sample | 35 | 4 | 31 | 11.4% | 88.6% | View details | |
Peru Moderate sample | 20 | 0 | 20 | 0.0% | 100.0% | View details | |
Colombia Moderate sample | 17 | 5 | 12 | 29.4% | 70.6% | View details | |
Switzerland Moderate sample | 16 | 11 | 5 | 68.8% | 31.3% | View details | |
Venezuela Small sample | 9 | 2 | 7 | 22.2% | 77.8% | View details | |
Georgia Small sample | 8 | 6 | 2 | 75.0% | 25.0% | View details | |
Honduras Small sample | 7 | 0 | 7 | 0.0% | 100.0% | View details | |
Mauritania Small sample | 7 | 3 | 4 | 42.9% | 57.1% | View details | |
Bolivia Small sample | 6 | 3 | 3 | 50.0% | 50.0% | View details | |
India Small sample | 6 | 5 | 1 | 83.3% | 16.7% | View details | |
Russia Small sample | 6 | 3 | 3 | 50.0% | 50.0% | View details | |
Albania Small sample | 5 | 4 | 1 | 80.0% | 20.0% | View details | |
Bulgaria Small sample | 5 | 4 | 1 | 80.0% | 20.0% | View details | |
Gabon Small sample | 5 | 1 | 4 | 20.0% | 80.0% | View details | |
Ghana Small sample | 5 | 2 | 3 | 40.0% | 60.0% | View details | |
Jamaica Small sample | 5 | 2 | 3 | 40.0% | 60.0% | View details | |
Niue Small sample | 4 | 0 | 4 | 0.0% | 100.0% | View details | |
Dominican Republic Small sample | 3 | 0 | 3 | 0.0% | 100.0% | View details |
Total decisions
42
Grants
22
Denials
20
Total decisions
39
Grants
0
Denials
39
Total decisions
35
Grants
4
Denials
31
Total decisions
20
Grants
0
Denials
20
Total decisions
17
Grants
5
Denials
12
Total decisions
16
Grants
11
Denials
5
Total decisions
9
Grants
2
Denials
7
Total decisions
8
Grants
6
Denials
2
Total decisions
7
Grants
0
Denials
7
Total decisions
7
Grants
3
Denials
4
Total decisions
6
Grants
3
Denials
3
Total decisions
6
Grants
5
Denials
1
Total decisions
6
Grants
3
Denials
3
Total decisions
5
Grants
4
Denials
1
Total decisions
5
Grants
4
Denials
1
Total decisions
5
Grants
1
Denials
4
Total decisions
5
Grants
2
Denials
3
Total decisions
5
Grants
2
Denials
3
Total decisions
4
Grants
0
Denials
4
Total decisions
3
Grants
0
Denials
3
These statistics come from public EOIR data. They reflect historical statistics only, are not legal advice, and cannot predict any individual case outcome.
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