Data Sources & Methodology
This dashboard aggregates data from multiple authoritative sources to provide comprehensive, accurate information about the humanitarian situation in Syria. All data is properly attributed and includes quality indicators for transparency.
Our Data Methodology
We follow rigorous data integration practices to ensure accuracy and reliability:
Source Verification
All data from verified UN agencies and established humanitarian organizations.
Regular Updates
Data refreshed according to source schedules with timestamps displayed.
Cross-Validation
Data cross-referenced from multiple sources where possible.
Transparency
Quality indicators and limitations clearly documented.
Primary Data Sources
UNHCRHigh Confidence
United Nations High Commissioner for Refugees
The UN Refugee Agency provides authoritative data on refugee populations, displacement patterns, and humanitarian needs.
Methodology
UNHCR collects data through registration systems, household surveys, and coordination with national authorities. Refugee statistics are verified through biometric registration and regular population updates.
Known Limitations
- •Access constraints in conflict zones may limit data collection
- •Figures may lag behind real-time displacement due to registration delays
- •IDP data relies on partner reporting and may undercount unregistered populations
Data Types
Update Frequency
Coverage
Global coverage with country-specific operations
Used In
OCHA HDXHigh Confidence
UN Office for the Coordination of Humanitarian Affairs - Humanitarian Data Exchange
HDX is an open platform for sharing humanitarian data, managed by OCHA. It aggregates datasets from multiple UN agencies, NGOs, and governments.
Methodology
Data is collected from verified humanitarian organizations and undergoes quality checks before publication. Datasets include standardized metadata and are regularly updated by contributing organizations.
Known Limitations
- •Data quality varies by contributing organization
- •Some datasets may not be updated regularly
- •Standardization across different data providers can be inconsistent
Data Types
Update Frequency
Coverage
Country-wide with regional breakdowns
Used In
ACLEDHigh Confidence
Armed Conflict Location & Event Data Project
ACLED collects real-time data on political violence and protest events worldwide, providing detailed event-level data on battles, explosions, violence against civilians, and demonstrations.
Methodology
ACLED researchers code events from local, regional, and international news sources, NGO reports, and social media. Each event is geolocated and categorized by type, actors involved, and fatalities.
Known Limitations
- •Fatality counts are estimates based on available information
- •Remote areas may have underreported events
- •Actor identification relies on available reporting and may be incomplete
- •Data quality depends on media access to conflict areas
Data Types
Update Frequency
Coverage
All territory with sub-district precision
Used In
IOM DTMMedium Confidence
International Organization for Migration - Displacement Tracking Matrix
DTM tracks and monitors displacement and population mobility, providing essential data on internally displaced persons (IDPs), returnees, and migration flows.
Methodology
IOM uses a multi-layered approach including key informant interviews, household surveys, flow monitoring, and registration data to track population movements.
Known Limitations
- •Access constraints in active conflict zones
- •Population mobility makes point-in-time estimates challenging
- •Informal settlements may be undercounted
- •Quarterly updates may not reflect rapid displacement
Data Types
Update Frequency
Coverage
Accessible areas with focus on displacement hotspots
Used In
ReliefWebHigh Confidence
OCHA ReliefWeb - Humanitarian Information Service
ReliefWeb is the leading humanitarian information source on global crises and disasters, providing reports, maps, and infographics from over 4,000 sources.
Methodology
Content is curated by OCHA editors who select and categorize reports from UN agencies, NGOs, governments, and academic institutions. All content is tagged with standardized metadata.
Known Limitations
- •Report availability depends on organization publishing practices
- •Some reports may be available only in certain languages
- •Analysis depth varies by contributing organization
Data Types
Update Frequency
Coverage
Global humanitarian crises
Used In
REACH InitiativeMedium Confidence
REACH Initiative - Humanitarian Assessment Data
REACH conducts multi-sectoral needs assessments and provides in-depth analysis of humanitarian conditions, including camp profiles and area-based assessments.
Methodology
REACH uses structured household surveys, key informant interviews, and satellite imagery analysis. Data collection follows standardized protocols and is validated through triangulation with secondary sources.
Known Limitations
- •Assessment frequency varies by location and funding
- •Access constraints affect geographic coverage
- •Sample sizes may limit generalizability in some areas
Data Types
Update Frequency
Coverage
Focus on accessible humanitarian response areas
Used In
CCCM ClusterMedium Confidence
Camp Coordination and Camp Management Cluster
The CCCM Cluster coordinates humanitarian response in camps and informal settlements, maintaining detailed databases of camp locations, populations, and service provision.
Methodology
Data is collected through partner organizations operating in camps, including regular population counts, service mapping, and needs monitoring.
Known Limitations
- •Focus primarily on formal camps; informal settlements may be underrepresented
- •Data quality depends on partner capacity
- •Population figures may fluctuate between counts
Data Types
Update Frequency
Coverage
All known camps and informal settlements
Used In
World BankMedium Confidence
World Bank Open Data
Provides macroeconomic indicators, development statistics, and baseline data for crisis-affected countries.
Methodology
Data is compiled from national statistical offices, international organizations, and World Bank surveys. Methodologies follow international standards for statistical compilation.
Known Limitations
- •Conflict disrupts national data collection systems
- •Annual updates may not reflect current conditions
- •Some indicators unavailable during active crises
Data Types
Update Frequency
Coverage
National-level statistics
Used In
Important Disclaimer
All data presented on this dashboard is sourced from official UN agencies, humanitarian organizations, and verified open data platforms. Figures represent the most recent available estimates and may not reflect real-time conditions due to access constraints, reporting delays, and the dynamic nature of the crisis. Data quality indicators are provided for transparency. We encourage users to consult primary sources for the most current information and to consider the stated limitations when interpreting the data.