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◈ USPTO PATENT EXAMINER STATISTICS

Examiner Yongjia Pan

TECH CENTER 2100 · 5 ART UNITS · 603 DECIDED APPLICATIONS · LAST ACTION JUN 2026
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 5 ART UNITS
65%vs 57% weighted peer average+8 pts

Examiner Yongjia Pan has allowed 394 of 603 decided applications in Computer Architecture, Software, and Information Security.

allowed394abandoned209pending42· pending excluded from the rate
The weighted peer average (57%) is each art unit's average below, weighted by this examiner's applications in it (5 art units).
DATA UPDATED JULY 14, 2026
AU 2145 · 73%AU 2171 · 59%AU 2118 · 84%AU 2173 · 28%AU 2144 · 87%
// READING THIS EXAMINER

What the data says.

Examiner Yongjia Pan maintains a pooled allowance rate of 65% across hundreds of decided applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). The examiner's public record spans 5 art units: 2118, 2144, 2145, 2171, and 2173. The allowance rate ranges from 28% to 87% across these art units, reflecting variation in outcomes by subject matter and art-unit assignment. This aggregate figure describes the examiner's past decided record and is not a prediction of any specific application.

// HOW TO READ THESE NUMBERS

How to read these numbers.

A pooled record aggregates decided applications across multiple art units into a single allowance-rate figure. This overall rate describes the examiner's historical outcomes and provides general context about their record. The range between the lowest and highest art-unit allowance rates indicates variation across different subject areas. Aggregate figures are correlational summaries of past decisions and are not predictions for any individual application.

These are aggregate statistics from this examiner's past public record — not predictions about any specific application. The per-art-unit figures below show how the record varies across art units. Our approach to patent prosecution →

// BY ART UNIT

The record, art unit by art unit.

Each section benchmarks this examiner against that art unit's average. Figures are this examiner's own public record within the art unit; the overall rate above pools them.

◈ PRIMARY · ART UNIT 2145
261 APPS · 73% ALLOWANCE

Primarily examines artificial-intelligence and machine-learning methods.

73% allowance (of decided)▏ art-unit average 53%
DISPOSITION191 / 70 / 0allowed / abandoned / pending
FIRST ACTION19.2 moart unit avg 26.9 mo
TOTAL PENDENCY37.8 moart unit avg 45.3 mo
// REJECTION PROFILE
REJECTION RATE = SHARE OF THIS EXAMINER'S APPLICATIONS THAT DREW ≥1 OFFICE-ACTION REJECTION IN WHICH THE GROUND APPEARS

Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.

§101 — Subject-matter eligibility33%art unit 45%12 pts
§102 — Anticipation (novelty)95%no art-unit benchmark
§103 — Obviousness97%art unit 93%+4 pts
§112 — Written description & definiteness48%no art-unit benchmark
// INTERVIEW SPLIT

Allowance rate for applications with an examiner interview versus without one.

WITH INTERVIEW84%allowance share
WITHOUT INTERVIEW60%+24 pt difference

A correlation, not proof that interviews cause allowances. Based on 140 decided applications with an interview and 121 without.

ART UNIT 2171
152 APPS · 59% ALLOWANCE
59% allowance (of decided)▏ art-unit average 56%
DISPOSITION89 / 63 / 0allowed / abandoned / pending
FIRST ACTION27.8 moart unit avg 22 mo
TOTAL PENDENCY57.7 moart unit avg 37.2 mo
// REJECTION PROFILE
REJECTION RATE = SHARE OF THIS EXAMINER'S APPLICATIONS THAT DREW ≥1 OFFICE-ACTION REJECTION IN WHICH THE GROUND APPEARS

Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.

§101 — Subject-matter eligibility52%art unit 38%+14 pts
§102 — Anticipation (novelty)55%no art-unit benchmark
§103 — Obviousness97%art unit 89%+8 pts
§112 — Written description & definiteness29%no art-unit benchmark
// INTERVIEW SPLIT

Allowance rate for applications with an examiner interview versus without one.

WITH INTERVIEW89%allowance share
WITHOUT INTERVIEW41%+48 pt difference

A correlation, not proof that interviews cause allowances. Based on 55 decided applications with an interview and 97 without.

ART UNIT 2118
127 APPS · 84% ALLOWANCE
84% allowance (of decided)▏ art-unit average 73%
DISPOSITION71 / 14 / 42allowed / abandoned / pending
FIRST ACTION22.4 moart unit avg 22.1 mo
TOTAL PENDENCY37.9 moart unit avg 36.4 mo
// REJECTION PROFILE
REJECTION RATE = SHARE OF THIS EXAMINER'S APPLICATIONS THAT DREW ≥1 OFFICE-ACTION REJECTION IN WHICH THE GROUND APPEARS

Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.

§101 — Subject-matter eligibility32%art unit 30%+2 pts
§102 — Anticipation (novelty)93%no art-unit benchmark
§103 — Obviousness93%art unit 82%+11 pts
§112 — Written description & definiteness61%no art-unit benchmark
// INTERVIEW SPLIT

Allowance rate for applications with an examiner interview versus without one.

WITH INTERVIEW87%allowance share
WITHOUT INTERVIEW77%+10 pt difference

A correlation, not proof that interviews cause allowances. Based on 55 decided applications with an interview and 30 without.

ART UNIT 2173
82 APPS · 28% ALLOWANCE
28% allowance (of decided)▏ art-unit average 49%
DISPOSITION23 / 59 / 0allowed / abandoned / pending
FIRST ACTION31.7 moart unit avg 25.2 mo
TOTAL PENDENCY49.6 moart unit avg 40.1 mo
// REJECTION PROFILE
REJECTION RATE = SHARE OF THIS EXAMINER'S APPLICATIONS THAT DREW ≥1 OFFICE-ACTION REJECTION IN WHICH THE GROUND APPEARS

Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.

§101 — Subject-matter eligibility40%art unit 39%+1 pt
§102 — Anticipation (novelty)40%no art-unit benchmark
§103 — Obviousness100%art unit 87%+13 pts
§112 — Written description & definiteness20%no art-unit benchmark
// INTERVIEW SPLIT

Allowance rate for applications with an examiner interview versus without one.

WITH INTERVIEW45%allowance share
WITHOUT INTERVIEW19%+26 pt difference

A correlation, not proof that interviews cause allowances. Based on 29 decided applications with an interview and 53 without.

ART UNIT 2144
23 APPS · 87% ALLOWANCE · LIMITED DATA
87% allowance (of decided)▏ art-unit average 58%
DISPOSITION20 / 3 / 0allowed / abandoned / pending
FIRST ACTION14.8 moart unit avg 27.2 mo
TOTAL PENDENCY25.2 moart unit avg 41.7 mo
// REJECTION PROFILE
REJECTION RATE = SHARE OF THIS EXAMINER'S APPLICATIONS THAT DREW ≥1 OFFICE-ACTION REJECTION IN WHICH THE GROUND APPEARS

Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.

§101 — Subject-matter eligibility26%art unit 45%19 pts
§102 — Anticipation (novelty)91%no art-unit benchmark
§103 — Obviousness91%art unit 92%1 pt
§112 — Written description & definiteness70%no art-unit benchmark

Based on 23 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.

// FAQ

Questions about Examiner Yongjia Pan

  • What is Examiner Pan's overall allowance rate?
    The examiner's pooled allowance rate is 65% across hundreds of decided applications.
  • How many art units does Examiner Pan work in?
    The examiner has a public record spanning 5 art units within Technology Center 2100.
  • What is the range of allowance rates across Examiner Pan's art units?
    Allowance rates range from 28% to 87% across the examiner's art units, reflecting variation in outcomes by subject matter.
  • Does the pooled rate predict my application's outcome?
    No. The pooled rate describes past decided applications and is not a prediction of any specific application's outcome.
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METHODOLOGY & DISCLOSURES

Methodology. This page pools every art unit in which Examiner Yongjia Pan has a public record within Technology Center 2100. Statistics are computed from publicly available USPTO records, refreshed on a recurring schedule. This page's data was last updated July 14, 2026. The overall allowance rate is total allowed divided by total decided applications (allowed plus abandoned) across all art units — not an average of the per-art-unit rates; pending applications are excluded. Figures are rounded for display. Pooled sample: 645 applications.

Rejection rates. Each §-rate is the share of this examiner's applications that drew at least one office-action rejection in which that statutory ground appears; applications with no rejection on record are excluded, and because grounds can co-occur the four do not sum to 100%. The art-unit figure beside each is the unweighted mean of the per-examiner rates across the art unit, published for §101 and §103 only. Beside the overall allowance rate we show a benchmark: for a single-art-unit examiner it is exactly that art unit's average, labeled “art-unit average”; for an examiner spanning several art units it is the “weighted peer average” — the per-art-unit averages, weighted by this examiner's application count in each — labeled distinctly because it is a blended figure, not any single art unit's average. Both are built from the same per-art-unit averages the panels show.

Lynch LLP is not affiliated with, endorsed by, or sponsored by the United States Patent and Trademark Office. Examiner statistics are derived from publicly available USPTO data.

These statistics describe past examiner behavior and do not predict the outcome of any particular application. Past results do not guarantee future outcomes. Where this page compares an examiner's allowance rate to an art-unit average, that comparison is a factual description of the public record, not a characterization of any individual examiner's conduct or competence.

This page is for general informational purposes and is not legal advice. No attorney-client relationship is formed by viewing it. Full disclaimers →

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