๐Ÿ‡น๐Ÿ‡ท ECAA Backlog Clearance Simulator

Annex B (FOI Feb 28 2026) ยท VSI_01a Received Applications ยท WIP Q1 2026 ยท Crowdsourced decisions (Jun 13โ€“24 2026)

โ— โ— Queue clearing from June 2026
20.2/day
Calibrated rate at Jun 24
Dependants per main 1 :
2.20
Family size
45%
Share that are main
Actual data:
2025 โ‰ˆ 1.23 ยท 2024 โ‰ˆ 1.16 ยท 2023 โ‰ˆ 0.93
Scenario Dec/day Growth %/mo
Month ILR applications LTR applications Total applicants Est. dependants
ILR: Annex B undecided per month. March 2026 = WIP(5,612) โˆ’ Annex B(4,466) = 1,146.   LTR: VSI_01a quarterly รท 3; Sep 2025 โˆ’11% for pre-freeze decisions.   Sep 2025 = remaining after 13/22 working days cleared by June 24.   Aprโ€“May estimated from Q1 2026 pace.   Main applicants for scheduling = Total รท (1 + dep ratio) โ€” shown in the clearance schedule below.
Each cohort row shows one bar per scenario (FIFO). Bar start = previous cohort clears. Bar end = last decision in cohort. Each scenario compounds its own growth independently.
Date = when the last case from that monthly cohort is decided. (X.X/day) = effective rate with compounded growth. Individual cases clear progressively across the cohort window.

Queue position June 24: Crowdsourced data (200+ rows, Jun 13โ€“24 2026) shows Sep 15โ€“17, 2025 applications being decided. 13/22 Sep working days cleared โ†’ 344 decisions รท 17 wd = 20.2/day calibrated rate.

ILR data: Annex B (FOI, 28 Feb 2026) โ€” undecided applications per month. March 2026 = WIP(5,612) โˆ’ Annex B undecided(4,466) = 1,146 total.

LTR data: VSI_01a quarterly received รท 3 monthly. Sep 2025 adjusted for ~11% pre-freeze decisions. Q3 2025 = 2,210 ยท Q4 = 1,109 ยท Q1 2026 = 560.

Growth model: Each scenario has its own monthly compounding rate. D_month = D_start ร— (1 + g%)^m. m=0 = Jun 24 (4 wd). m=1 = July 2026. 21 working days/month. DPWD = 365รท252 = 1.448.

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