Humanitarian Intelligence Diagnostic

Afghanistan 5-Year Humanitarian Aid Crisis Tracker (2021–2026)

Scrubbing humanitarian funding gaps, operational restrictions, and acute food insecurity across the five-year power milestone.

5-Year Humanitarian Chronology Milestone
Selected: 2026 (5-Year Milestone)
2026 Milestone: Aid agencies warn of catastrophic multi-sector shortfall as donor fatigue and severe operational staffing bans leave 70.9% of UN appeal targets unfunded.

Humanitarian Financing & Food Insecurity Trajectory

D3.js Real-time Synthesis
UN HRP Appeal
$3.06B
Required for year
Delivered Aid
$0.89B
29.1% coverage
Funding Gap
70.9%
$2.17B deficit
Acute Need (IPC 3+)
23.7M
People in crisis/emergency

Sectoral Vulnerability & Operational Coverage

Sector Requirement Funded % Delivered Reach In Need Status

Operational Stress Testing

Policy Modeler

Simulate adjustments in operational permissions, banking liquidity, and donor commitments on real-time delivery capacity.

Female NGO Staffing Authorization Restricted (20%)
Restricting female staff collapses field verification & healthcare access.
Banking System Liquidity & De-risking Severe Strain (35%)
Foreign reserve freezes and lack of correspondent banking raise transaction friction.
Donor Aid Commitment Scale Baseline (100%)
Simulate donor fatigue contraction or emergency donor replenishment surges.
Climate / Disaster Shock Factor Elevated (1.25x)
Compound drought & seismic events multiplier expanding base acute population.
Operational Delivery Constraint Index
74 / 100 (Severe Blockage)
Delivery pipelines choked by prohibitive operational bans and banking friction.

Funding gaps, operational multipliers and source scope

Read the explanation

The saved twenty twenty six scenario stores appeal three point zero six billion and delivered point eight nine billion. Their difference is two point one seven billion. Dividing the gap by the appeal gives seventy point nine percent after rounding. Bars use one hundred ten pixels per billion. Delivered aid reads donor multiplier only; staffing and banking do not change this total directly. The historical dataset and source references have not been independently verified in this offline draft, so these are demonstration assumptions rather than current humanitarian figures. The saved default staffing twenty and banking thirty five produce weighted operational efficiency point two six. Food funding percentage twenty nine is multiplied by point two six times one point one five, or point two nine nine, yielding eight point six seven one and rounding to nine. Bars use twelve pixels per percentage point. The constraint index is one hundred minus twenty six, or seventy four. This relationship is authored simulator logic, not a validated estimate of real aid access or an instruction for humanitarian delivery. The source starts acute need from saved twenty three point seven million, multiplies by climate one point two five, then by one plus funding gap seventy point nine divided by two hundred. The result rounds to forty point one million. Bars use nine pixels per million. Staffing affects sector coverage and constraints, while this particular acute need equation does not read staffing or banking. The funding chart changes only the selected year delivered series when donor multiplier changes. Dossier JSON exports model assumptions and computed outputs; neither the medical implications nor the forecast is independently validated.

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