"Every dataset is a testimony. Every number was a name, a family, a dream."
"All they ever asked for was the right to be human — to have a home, a country, and freedom."
A data witness project documenting the ongoing genocide in Gaza and the West Bank from October 2023 to December 2025.
We count because the world looks away.
This is not a conflict.
This is not a war.
This is a genocide.
This repository documents more than casualties.
It documents:
- erased families,
- destroyed cities,
- collapsed hospitals,
- interrupted identities,
- and an ongoing attempt to fragment historical memory itself.
The objective was not only analytical.
It was archival.
The datasets begin in October 2023.
The history does not.
More than 78 years of:
- occupation,
- forced displacement,
- mass killings,
- apartheid,
- land confiscation,
- imprisonment,
- and systematic historical distortion.
What changed after October 7th was not the existence of violence.
What changed was the scale, visibility, and acceleration of destruction witnessed in real time by an entire generation.
The world before October 7th is not the world after October 7th.
The figures in this repository represent only:
- documented,
- identifiable,
- and recoverable victims.
Not the full human toll.
Due to:
- communication blackouts,
- inaccessible rubble zones,
- destroyed civil infrastructure,
- delayed identification processes,
- and thousands still missing beneath debris,
many victims were never fully recorded.
By May 2026, cumulative confirmed estimates across humanitarian reporting channels approached approximately 74,000 direct martyrs.
The analytical dataset used in this repository ends in December 2025 and therefore documents 66,714 confirmed martyrs.
This means the killing did not stop.
Witness-Gaza-Genocide is a forensic humanitarian data project documenting the destruction, casualties, healthcare collapse, displacement patterns, and infrastructure annihilation across Gaza and the West Bank between October 2023 and December 2025.
The project consolidates datasets from:
- the Palestinian Ministry of Health,
- United Nations agencies,
- WHO,
- UNOSAT,
- and verified humanitarian documentation initiatives.
The repository combines:
- casualty analysis,
- healthcare system monitoring,
- aid-flow assessment,
- geographic destruction mapping,
- and family-level demographic analysis into an integrated analytical framework.
Key documented findings include:
- 66,714 confirmed martyrs within the analyzed dataset window
- ~74,000 cumulative confirmed direct deaths by May 2026 estimates
- 171,232 documented injuries
- near-total healthcare system collapse by mid-2024
- destruction affecting up to:
- 93% of hospitals,
- 100% of universities,
- 80% of schools,
- and 70% of residential structures
The project also documents:
- sustained fatalities during ceasefire periods,
- synchronized escalation patterns between Gaza and the West Bank,
- severe aid access restrictions,
- and large-scale family-level destruction patterns.
This repository functions simultaneously as:
- an analytical model,
- a historical archive,
- and a preservation mechanism against the loss or fragmentation of documented memory.
The figures presented should be interpreted as documented minimums rather than exhaustive totals due to:
- communication blackouts,
- inaccessible rubble zones,
- delayed identification processes,
- and unrecovered victims beneath destroyed infrastructure.
| KPI | Value |
|---|---|
| Total Confirmed Martyrs | 66,714 |
| Estimated Confirmed Total (May 2026) | ~74,000 |
| Total Injured | 171,232 |
| Child Martyrs | 20,179 |
| Women Martyred | 12,500 |
| Medical Staff Martyred | 1,701 |
| Journalists Martyred | 263 |
| Women & Children Share | 48% |
| Hospitals Destroyed / Nonfunctional | 93% |
| Residential Buildings Damaged | 70% |
| Universities Destroyed | 100% |
| Aid Delivery vs Need | 8.9% |
| Largest Family Loss Recorded | 649 martyrs |
The figures presented in this repository represent documented and recoverable minimums based on available humanitarian datasets.
They do not include:
- missing persons,
- unrecovered bodies,
- unidentified remains,
- or thousands believed to remain trapped beneath rubble.
By May 2026, cumulative confirmed estimates across multiple reporting channels approached approximately 74,000 martyrs.
| Sector | Destruction Rate |
|---|---|
| Universities | 100% |
| Hospitals | 93% |
| Mosques | 88% |
| Schools | 80% |
| Residential Buildings | 70% |
Healthcare infrastructure experienced near-total operational collapse by mid-2024.
Women and children represented nearly half of all documented martyrs.
- Children accounted for approximately 30% of all deaths.
- Entire bloodlines disappeared from civil records.
- Some families lost hundreds of members.
- Average aid delivery remained ~89 trucks/day
- Pre-war baseline was 500 trucks/day
- Aid flow remained far below wartime humanitarian needs
Although designated internationally as a "safe zone," Rafah recorded the highest martyr-per-destroyed-building ratio in Gaza.
The dataset documents:
- 1,701 medical staff martyrs,
- repeated hospital shutdowns,
- and sustained attacks on healthcare facilities.
The dataset shows a clear temporal concentration of destruction and casualties in the first phase of the conflict.
- The first 6 months recorded the highest rates of:
- civilian casualties,
- infrastructure destruction,
- and hospital system collapse.
This indicates a front-loaded intensity pattern, where the majority of systemic damage occurred early, before any structural recovery or stabilization was possible.
By approximately August 2024, the healthcare system in Gaza had effectively transitioned from a national hospital network into a fragmented emergency care system.
- 30 hospitals originally operated across the region
- 82 recorded attacks on healthcare facilities
- By mid-2024, nearly all major hospitals were non-functional
- Remaining care was shifted to:
- under-equipped field hospitals
- temporary medical units
- emergency tents with limited capacity
This represents a complete degradation of healthcare resilience under sustained pressure.
Hospital shutdowns were primarily driven by four recurring mechanisms:
- Direct bombardment
- Military raids
- Forced evacuations
- Fuel and medical supply depletion
The recurrence of these patterns across multiple facilities indicates that healthcare collapse was not caused by isolated incidents, but by sustained operational pressure over time.
Rafah, officially designated and widely perceived as a “safe zone,” exhibited one of the highest lethality-to-destruction ratios in the dataset.
Key indicators:
- Highest number of displaced populations concentrated in one area
- High infrastructure destruction rate
- Extremely high injury density per destroyed building
This reveals a structural contradiction between declared safety zones and actual operational outcomes.
The data shows a notable parallel increase in casualties in Gaza and settler-related violence and fatalities in the West Bank.
- Peaks in Gaza casualty rates often coincided with increased incidents in the West Bank
- This suggests a synchronized escalation pattern across territories rather than isolated regional events
This correlation indicates that violence intensity was not geographically independent but temporally aligned across multiple fronts.
Despite formal ceasefire agreements, the dataset records sustained casualty levels:
- More than 5,000 documented fatalities occurred in the three months following the ceasefire period used in this dataset window
- Casualties included civilians, children, journalists, and medical personnel
This indicates a structural gap between formal cessation of hostilities and ground-level reality.
The composition of casualties shows a consistent demographic pattern:
- Children ≈ 30% of total fatalities
- Women + children combined ≈ 48% of total fatalities
- Journalists and medical personnel were also significantly affected
This distribution is not random and indicates that the impact disproportionately affected non-combatant populations.
Infants alone represented approximately 8% of all documented martyrs within the named victim registry.
This indicates that mortality extended across all demographic age groups, including populations with no capacity for participation in hostilities.
The age-distribution pattern reinforces the disproportionate impact on civilians and vulnerable populations.
Casualty data shows that fatalities did not cease during declared pauses or reduced-intensity periods.
- Civilian deaths continued during ceasefire windows
- Medical personnel and journalists remained exposed
- Infrastructure damage persisted even in low-intensity phases
This suggests continuity of risk independent of formal conflict status.
The destruction pattern extended beyond immediate military infrastructure:
- Hospitals: ~93% damaged or non-functional
- Universities: 100% destroyed
- Schools: 80% destroyed
- Residential structures: 70% damaged
This indicates a systemic collapse of civilian infrastructure, affecting long-term livability and recovery capacity.
Aid delivery rates remained significantly below baseline requirements:
- Pre-conflict baseline: ~500 trucks/day
- Wartime average: ~89 trucks/day
Periods of reduced aid delivery correlate with increased:
- hospital shutdowns
- mortality spikes
- displacement pressure
This shows strong dependency between humanitarian access and survival outcomes.
The combined dataset suggests that the observed outcomes are not random fluctuations of conflict intensity, but rather:
- temporally clustered escalation,
- spatially concentrated destruction,
- systemic collapse of essential services,
- and persistent civilian vulnerability across all phases.
The structure of the data reflects a prolonged system-wide breakdown affecting: healthcare, housing, mobility, and survival capacity simultaneously.
The project incorporated the documented martyr registry provided by:
“I Am Not A Number” — Tech For Palestine
This dataset preserved:
- names,
- ages,
- dates of birth,
- and demographic identity records for more than 60,000 documented victims.
The inclusion of named records transformed the analysis from abstract casualty statistics into identifiable human loss documentation.
This project consolidates data from multiple humanitarian, medical, and international documentation sources, including:
- Palestinian Ministry of Health (MoH)
- United Nations OCHA oPt
- WHO EMRO
- UNRWA
- UNOSAT
- “I Am Not A Number” — Tech For Palestine
The repository combines:
- casualty records,
- healthcare system reports,
- aid-flow tracking,
- infrastructure destruction data,
- and named martyr registries.
Detailed source documentation is available in:
The project follows a multi-stage ETL and analytical modeling workflow involving:
- API extraction
- humanitarian dataset reconciliation
- data cleaning & validation
- Tableau-based dimensional modeling
- geographic normalization
- and Tableau-based analytical visualization
Special attention was given to:
- conflict-period data inconsistencies,
- communication blackout gaps,
- and identity-preserving family-level aggregation logic.
Detailed methodology documentation is available in:
Humanitarian Sources
↓
Python Extraction & Claude Ai
↓
Raw Datasets
↓
Data Cleaning & Reconciliation
↓
Power Query Transformation
↓
Tableau Data Modeling
↓
Interactive Dashboard Analytics
Witness-Gaza-Genocide/
│
├── assets/
│ ├── banner.png
│ └── dashboard_previews/
│ ├── timeline.png
│ ├── geographic.png
│ ├── healthcare.png
│ ├── resilience.png
│ └── resilience2.png
│
├── python/
│ └── data_extraction.py
│
├── raw_data/
│ ├── Aid/
│ ├── Casualties/
│ ├── Infrastructure/
│ └── README_sources.md
│
├── cleaned_data/
│ └── Gaza_Genocide.xlsx
│
├── tableau/
│ └── Gaza_Genocide.twbx
│
├── Methodology.md
├── Calculated_Fields.md
├── README_sources.md
└── README.md
"Unrooted Roots: A Chronicle of Resilience Against Systemic Elimination."
"History is not erased when evidence survives."
From erased bloodlines
to the siege of starvation,
from destroyed hospitals
to displaced generations —
this project documents not only death,
but the preservation of memory against disappearance.
It documents:
- names that were almost lost,
- families erased across generations,
- hospitals silenced under bombardment,
- and lives interrupted beneath rubble.
The numbers remain incomplete.
Many victims were never recovered.
Many names were never recorded.
Many stories ended without witnesses.
Yet every preserved dataset,
every documented name,
and every surviving record
stands against erasure.
History is not written only by power.
Sometimes it is preserved by those who refuse to forget.
The project therefore documents not only loss,
but also the persistence of memory, identity, resilience,
and the Right of Return.
🇵🇸