Introduction

This study is based on the development of a quantitative and spatial database to monitor and analyze expropriation decisions for public purpose in Egypt during the period from January 2021 to December 2025. Its primary objective is to identify and assess the geographic, temporal, and institutional patterns associated with policies that have contributed to the reshaping of Egypt’s urban landscape. The study focuses on analyzing the material and human impacts resulting from these policies through the development of a descriptive and analytical framework that combines legal monitoring, spatial analysis, and statistical estimation of land areas, assets, and affected persons.

The study is guided by the central hypothesis that expropriation in recent years has evolved beyond a purely administrative instrument for allocating land to public projects and has become a key mechanism for restructuring urban space and redistributing populations and economic activities across different regions. This transformation necessitates the development of a methodological framework capable of measuring the scale and intensity of these changes through a multidimensional approach that extends beyond conventional quantitative counts.

Scope of the Study and Unit of Analysis

The database covers all expropriation decisions and direct acquisition procedures associated with public-purpose projects within the Arab Republic of Egypt during the period 2021–2025, including those issued through:

• Prime Ministerial Decrees;
• Ministerial Decisions;
• Governorial Decrees; and
• Executive actions with direct spatial impacts.

The study adopts the project—or the initial decision—as the primary unit of analysis, rather than treating each administrative decision as a separate case. Accordingly, a project is recorded as a single observation even when multiple decisions are issued in connection with it or when it extends across more than one governorate.

In complex cases—such as leased-school expropriation decisions involving multiple locations—the project is disaggregated into independent units to ensure the accurate estimation of affected assets, affected persons, and compensation values.

Data Sources and Verification Procedures

The study employs a Multi-layered Open Source Methodology, while assigning the highest level of priority to official documents as the primary reference source for coding, verification, and documentation.

Official Records

A comprehensive and systematic review was conducted of:

• The Official Gazette;
• The Egyptian Gazette (Al-Waqa’i Al-Misriyya).

The following information was extracted from official records:

• Project information;
• Geographic location;
• Type of real-estate asset;
• Expropriating authority;
• Land areas and assets covered by the decision.

Media and Digital Archives

The study relied on monitoring news reports and field-based coverage published by local newspapers and online news platforms throughout the study period. Searches were conducted using a dynamic set of keywords, including: expropriation, public purpose, demolition, corridor development, compensation, acquisition, and informal-settlement redevelopment.

These sources were used to supplement missing information and to verify the implementation context of individual projects.

Geographic and Digital Verification

The study utilized digital mapping tools and satellite imagery, including:

• Google Maps;
• Google Earth;
• Spatial analysis of urban development corridors.

These tools were employed to:

• Estimate undisclosed land areas;
• Verify project boundaries and geographic extensions;
• Identify affected residential clusters;
• Assess the urban impacts of linear infrastructure projects such as roads and transportation corridors.

Temporal Accounting and the Project Reference Year

The database and its associated analytical index are built upon an Administrative Trigger Event Methodology, which serves as the unified framework for temporal classification and analysis. Under this approach, the temporal attribution of each case is determined by the project’s Reference Year, defined as the calendar year in which the first officially documented administrative or legal action related to the project was issued and recorded in the official archive.

This date represents the initial legal intervention affecting the property subject to expropriation and serves as the primary temporal anchor for all subsequent analysis.

Procedural Determination of the Reference Year

In most cases, the reference date corresponds to the issuance of a Prime Ministerial Decree declaring a project to be of public purpose. In a limited number of cases, however, the reference year is determined by the issuance of an immediate executive decision by the competent minister or governor, depending on the legal authority exercised and the specific circumstances of the project.

The reference year constitutes the sole and fixed temporal container to which the project is assigned in its entirety, including all associated human and material impacts, such as:

• Total land parcels;
• Affected households;
• Housing units;
• Estimated compensation values.

Treatment of Subsequent Decisions

In cases where additional administrative decisions are issued after the initial approval—such as route modifications, data corrections, or project renewals involving the inclusion of additional geographic areas or residential blocks—the study applies two distinct coding rules to preserve methodological consistency.

Where a subsequent decision merely constitutes an administrative correction or clarification, the original reference year remains the project’s fixed temporal classification.

However, when a subsequent decision involves a substantive expansion of the project through the inclusion of new landholdings, geographic areas, or assets not covered by the original plan, the project inventory is updated and recoded according to the context and effective date of the active decision. This approach ensures the accurate tracking of state-led urban expansion and its appropriate temporal and spatial attribution.

Variable Structure and Coding Framework

Geographic and Regional Classification

The study adopts a regional classification system based on the official development regions used in Egyptian urban planning. These include:

• Greater Cairo Region: Cairo, Giza, and Qalyubia.
• Alexandria Region: Alexandria, Beheira, and Matrouh.
• Delta Region: Dakahlia, Sharqia, Gharbia, Monufia, Kafr El-Sheikh, and Damietta.
• Suez Canal Region: Port Said, Ismailia, Suez, North Sinai, and South Sinai.
• Northern Upper Egypt Region: Fayoum, Beni Suef, and Minya.
• Central Upper Egypt Region: Assiut, Sohag, Qena, and New Valley.
• Southern Upper Egypt Region: Luxor, Aswan, and Red Sea.

Projects extending beyond a single governorate are classified as Multi-Governorate Regional Projects.

Alternative Project Classification

Projects are classified according to the functional or developmental purpose that necessitated expropriation. The principal categories include:

• Roads and Bridges Projects: Including transportation corridors, flyovers, tunnels, and road-expansion projects.
• Public Transport Projects: Including monorail systems, the High-Speed Electric Rail network, metro lines, and Bus Rapid Transit (BRT) stations.
• Water Supply, Sanitation, and Agricultural Reclamation Projects: Including treatment plants, pumping stations, water reservoirs, sewerage networks, irrigation infrastructure, drainage canals, and agricultural reclamation projects such as the New Delta Project.
• Urban Development and Housing Projects: Including social housing programs and the redevelopment of unsafe informal settlements.
• School Property Acquisition Projects: Including the construction of new schools, expansion of existing educational facilities, and the acquisition of leased school properties.
• Public Garages and Parking Facilities: Including regional bus terminals, multi-story parking structures, and public parking facilities.
• Public Services Projects: Including healthcare facilities, youth centers, government service complexes, family development centers, and other public facilities.

Expropriating Authority

Expropriating authorities are classified according to the government entity initiating the legal acquisition process. Categories include:

• Ministry of Transport, including the General Authority for Roads, Bridges and Land Transport, the National Authority for Tunnels, and Egyptian National Railways.
• Ministry of Local Development, represented by governorates and affiliated executive bodies.
• Ministry of Housing, Utilities and Urban Communities, including the New Urban Communities Authority and the Executive Agency for Potable Water and Wastewater.
• Urban Development Fund, formerly the Informal Settlements Development Fund.
• Ministry of Water Resources and Irrigation / Ministry of Agriculture and Land Reclamation.
• Ministry of Electricity and Renewable Energy.
• Ministry of Education and Technical Education / Ministry of Higher Education and Scientific Research.
• Security and Sovereign Institutions, including projects affiliated with the National Service Projects Organization, the Armed Forces, the Ministry of Interior, or the General Intelligence Service.
• Other Ministries and Government Agencies.

Real-Estate Asset Type

This variable identifies the physical and functional nature of the assets affected by expropriation or direct acquisition procedures. Categories include:

• Land Parcels: Including vacant land and agricultural land.
• Buildings and Real-Estate Assets: Including existing residential, commercial, and administrative structures.
• Mixed Buildings and Land Parcels: Used for projects affecting mixed urban blocks consisting of buildings and associated landholdings.
• Government-Leased School Property: A dedicated category for leased schools subject to expropriation procedures and special estimation assumptions.
• Entire Area: Used in comprehensive redevelopment projects involving the complete displacement of informal settlements, Nile islands, or other geographic zones.
• Cemeteries: A distinct category for assets requiring relocation of remains or specialized compensation procedures.
• Parks and Green Areas: Including public and private green spaces partially or wholly acquired for infrastructure projects.

Estimation Methodology and Statistical Assumptions

Given the absence of detailed information in a significant proportion of official expropriation decisions, the study developed a standardized estimation model based on statistical assumptions derived from:

• Population and Housing Census data (Census 2017);
• Spatial and geographic analysis; and
• Digital surveys of affected areas.

The principal assumptions applied in the database are outlined below.

Affected Persons and Assets

Household Definition

Each individual ownership holding or owner of a housing unit or land parcel is treated as a separate household. Accordingly:

Number of households = Number of units or ownership holdings

Population Estimation

The number of affected persons is estimated using the following formula:

Affected Persons = Affected Households × 4

This assumption is based on the average household size in Egypt while accounting for the higher residential densities typically found in rural areas and informal settlements affected by major infrastructure corridors.

Land Parcels

Each affected land parcel is assumed to have a minimum of one owner, equivalent to:

One parcel = One household

Unidentified Buildings and Properties

Where the number of affected buildings is not explicitly stated in official documents, estimates are derived through digital mapping and spatial surveys. In densely populated urban areas, each unidentified building is assumed to contain:

Six households per building

This assumption reflects a minimum-density residential structure consisting of a ground floor and at least two repeated residential floors.

Government-Leased School Properties

A special estimation framework is applied to government-leased school properties subject to expropriation. For coding purposes, each property is assumed to represent:

• Two affected households (reflecting fragmented inheritance patterns among property owners); and
• Ten equivalent housing units for the purpose of estimating the scale of affected assets.

These assumptions reflect the long duration of historic lease agreements and the fragmented ownership structures commonly associated with leased school properties.

Land Area and Compensation Estimates

Undisclosed Land Areas

Where land areas are not specified in official documents, estimates are derived from project dimensions, satellite imagery, engineering alignments, and digital mapping analysis. Approximate lengths and widths are used to estimate the geographic footprint of projects.

Financial Compensation

No compensation value is estimated when compensation is not mentioned in official records.

However, where official documents confirm the existence of compensation without specifying a monetary value, a minimum indicative amount of:

EGP 100,000

is assigned solely for coding and database classification purposes. This value does not represent an estimate of actual compensation paid and is used only to facilitate statistical analysis.

Diwan Alomran Expropriation Severity Index (DAESI)

To overcome the limitations of conventional measurements based solely on the number of projects or the extent of acquired land, the study developed a composite indicator known as the Diwan Alomran Expropriation Severity Index (DAESI).

The index integrates multiple dimensions of expropriation impacts, including:

• Expropriated geographic areas;
• Number of affected buildings and housing units;
• Scale of affected real-estate assets;
• Number of affected households and persons; and
• The urban characteristics of each project.

The objective of the index is to measure the composite severity of expropriation impacts, rather than geographic scale alone. This enables meaningful comparisons across governorates, sectors, government entities, and time periods, providing a more comprehensive assessment of the social and urban consequences of expropriation policies.

A detailed explanation of the index construction methodology is available separately.

Exclusion Criteria

The study excludes cases that do not meet the criteria of expropriation for public purpose. Excluded categories include:

• Structurally unsafe buildings;
• Building-code violations;
• Removal of encroachments on state-owned land;
• Informal markets of a temporary or movable nature; and
• Administrative decisions allocating state-owned land to other government projects.

Study Limitations

The study is subject to several methodological constraints associated with the nature of official data in Egypt, including:

• The absence of comprehensive disclosure regarding affected persons in many official decisions;
• Variations in the accuracy of geographic information across governorates;
• Irregular publication of compensation data; and
• Time lags between administrative decisions and actual implementation.

Despite these limitations, the integration of official records, geographic verification, media-based documentation, and standardized estimation models has enabled the construction of one of the most comprehensive datasets currently available on expropriation in Egypt during recent years.