U.S. Immigration Data

Priority dates, work visas, and labor market data

Analysis April 04, 2026

Visa Bulletin Analysis: January 2026

The Department of State has released the January 2026 Visa Bulletin. Below is our analysis of the significant movements and how they compare to our predictions.


1. Prediction vs Reality

Where our model diverged from the actual bulletin (threshold: >14 days).

How to read these. These compare our next-month call against the actual bulletin. Final-action dates move in lumpy jumps — most months they don't move at all — so a "no movement next month" call is usually correct, and that's where many of these land. The harder, more useful test is the multi-month trajectory: on a 2016–2026 walk-forward backtest the model beats the naive "assume no change" baseline at the 6-month horizon and calls the direction of movement far more often than that baseline. We only score ourselves on the series we publicly predict (EB-1/2/3 China, India, and Rest of World); policy-driven categories (EB-4/EB-5) are excluded because we don't forecast them. Full methodology and the head-to-head backtest: How our prediction model works.
Confidence interval coverage: 29 of 40 predictions (72.5%) fell within our confidence intervals. Average CI width: 236.2 days.
EB-1 India (Final Action) Underestimated advance
Previous Cutoff 15 Mar 2022
We Predicted 15 Mar 2022
+0d
Actual Result 01 Feb 2023
+323d
Miss +323d
Model Breakdown
Expert Weight Predicted vs Baseline vs Actual
gbm 0% 21 Jul 2022 +128d -195d
Queue Simulation 0% 01 Mar 2022 -14d -337d
Fiscal Year Cycle 0% 15 Apr 2022 +31d -292d
3-Month Momentum 0% 24 Mar 2022 +9d -314d
No-Change Baseline 0% 15 Mar 2022 +0d -323d
cross_series 0% 15 Mar 2022 +0d -323d
Supply-Adjusted 0% 16 Mar 2022 +1d -322d
Demand Signal 0% 15 Mar 2022 +0d -323d
12-Month Trend 0% 18 Mar 2022 +3d -320d
Seasonal Pattern 0% 15 Mar 2022 +0d -323d
i485_queue_depth 0% 15 Mar 2022 +0d -323d
EB-2 China (Final Action) Underestimated advance
Previous Cutoff 01 Jun 2021
We Predicted 22 Jun 2021
+21d
Actual Result 01 Sep 2021
+92d
Miss +71d
Model Breakdown
Expert Weight Predicted vs Baseline vs Actual
gbm 0% 19 Jul 2021 +48d -44d
Queue Simulation 0% 01 Jun 2021 +0d -92d
Fiscal Year Cycle 0% 24 Jun 2021 +23d -69d
3-Month Momentum 0% 27 Jul 2021 +56d -36d
No-Change Baseline 0% 01 Jun 2021 +0d -92d
cross_series 0% 30 Jun 2021 +29d -63d
Supply-Adjusted 0% 23 Jun 2021 +22d -70d
Demand Signal 0% 22 Jun 2021 +21d -71d
12-Month Trend 0% 07 Jul 2021 +36d -56d
Seasonal Pattern 0% 02 Jul 2021 +31d -61d
i485_queue_depth 0% 02 Jul 2021 +31d -61d
EB-2 ROW (Final Action) Underestimated advance
Previous Cutoff 01 Feb 2024
We Predicted 01 Feb 2024
+0d
Actual Result 01 Apr 2024
+60d
Miss +60d
EB-3 India (Final Action) Underestimated advance
Previous Cutoff 22 Sep 2013
We Predicted 15 Oct 2013
+23d
Actual Result 15 Nov 2013
+54d
Miss +31d
Model Breakdown
Expert Weight Predicted vs Baseline vs Actual
gbm 0% 20 Sep 2013 -2d -56d
Queue Simulation 0% 01 Sep 2013 -21d -75d
Fiscal Year Cycle 0% 29 Sep 2013 +7d -47d
3-Month Momentum 0% 02 Nov 2013 +41d -13d
No-Change Baseline 0% 22 Sep 2013 +0d -54d
cross_series 0% 12 Oct 2013 +20d -34d
Supply-Adjusted 0% 12 Oct 2013 +20d -34d
Demand Signal 0% 15 Oct 2013 +23d -31d
12-Month Trend 0% 18 Oct 2013 +26d -28d
Seasonal Pattern 0% 15 Oct 2013 +23d -31d
i485_queue_depth 0% 15 Oct 2013 +23d -31d

2. Key Movements

Month-over-month changes for applicants.

Family-Sponsored

  • F1 Mexico advanced by 184 days to 01 Sep 2006.
  • F1 Philippines advanced by 38 days to 01 Mar 2013.
  • F2B Mexico advanced by 184 days to 15 Nov 2008.
  • F2B Philippines advanced by 75 days to 22 Dec 2012.
  • F3 Philippines advanced by 120 days to 01 Mar 2005.
  • F4 Philippines advanced by 7 days to 22 Jul 2006.

Employment-Based

  • EB-1 China advanced by 10 days to 01 Feb 2023.
  • EB-1 India advanced by 323 days to 01 Feb 2023.
  • EB-2 China advanced by 92 days to 01 Sep 2021.
  • EB-2 India advanced by 61 days to 15 Jul 2013.
  • EB-2 ROW advanced by 60 days to 01 Apr 2024.
  • EB-3 China advanced by 30 days to 01 May 2021.
  • EB-3 India advanced by 54 days to 15 Nov 2013.
  • EB-3 ROW advanced by 7 days to 22 Apr 2023.

Historical Pace (12-month average)

Category 12-mo avg (days/mo) vs Seasonal Avg Trend
EB-1 China 7.1 -17.0 Typical
EB-1 India 30.4 +86.3 Faster
EB-2 China 41.4 +23.8 Faster
EB-2 India 23.9 +30.7 Faster
EB-2 ROW 30.5 +10.0 Typical
EB-3 China 27.8 -6.7 Typical
EB-3 India 29.1 +23.7 Faster
EB-3 ROW 11.8 -23.7 Slower

3. Future Outlook

The overall trend is positive, with most tracked series showing forward movement.

EB-1 China Advancing

Next predicted cutoff: 01 Feb 2023

Pace: 7.1 d/mo avg

Model confidence: Low

EB-1 India Volatile

Next predicted cutoff: 01 Feb 2023

Pace: 30.4 d/mo avg (faster than usual)

Model confidence: Low

EB-2 China Advancing

Next predicted cutoff: 01 Sep 2021

Pace: 41.4 d/mo avg (faster than usual)

Model confidence: Low

EB-2 India Advancing

Next predicted cutoff: 15 Jul 2013

Pace: 23.9 d/mo avg (faster than usual)

Model confidence: Low

EB-2 ROW

Next predicted cutoff: 01 Apr 2024

Pace: 30.5 d/mo avg

Model confidence: Moderate

EB-3 China Advancing

Next predicted cutoff: 01 May 2021

Pace: 27.8 d/mo avg

Model confidence: Low

EB-3 India Advancing

Next predicted cutoff: 29 Nov 2013

Pace: 29.1 d/mo avg (faster than usual)

Model confidence: Low

EB-3 ROW

Next predicted cutoff: 22 Apr 2023

Pace: 11.8 d/mo avg (slower than usual)

Model confidence: Moderate

Expert Model Signals
  • EB-1 China is in an advancing pattern with consistent forward movement.
  • EB-1 India shows volatile behavior with unpredictable swings.
  • EB-2 China is in an advancing pattern with consistent forward movement.
  • EB-2 India is in an advancing pattern with consistent forward movement.
  • EB-3 China is in an advancing pattern with consistent forward movement.
  • EB-3 India is in an advancing pattern with consistent forward movement.

Analysis generated from the Bulletin Forecast Model using historical bulletin data, I-140 demand signals, and fiscal year patterns. Model confidence varies by series. Expand "Model Breakdown" on any prediction to see individual expert signals.


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