The share of urban population in Egypt stood at 43.26 percent in 2024. Between 1960 and 2024, the share rose by 5.40 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

Urban population (% of total population) in Egypt was reported at 43.26 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Egypt - Urban population (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

As of January 1, 2022, the share of the population living in urban areas in Egypt amounted to 43 percent of the total population. Moreover, the capital city, Cairo, as well as the coastal cities, Port-said and Suez, were fully urbanized. Alexandria followed closely with up to 98 percent of the population residing in the urban areas. On the other hand, the population in the governorate of Qena was mainly concentrated in the rural regions, with only 18.3 percent of its inhabitants living in the urban zones.

Historical dataset showing Egypt urban population by year from 1960 to 2023.

Egypt EG: Urban Population Growth data was reported at 1.867 % in 2017. This records a decrease from the previous number of 1.893 % for 2016. Egypt EG: Urban Population Growth data is updated yearly, averaging 2.364 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 4.393 % in 1960 and a record low of 1.584 % in 1996. Egypt EG: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

Urban population growth (annual %) in Egypt was reported at 2.0992 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Egypt - Urban population growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Forecast: Population in Urban Agglomerations of More Than 1 Million in Egypt 2024 - 2028 Discover more data with ReportLinker!

Egypt Population: Census: Male: Urban data was reported at 20,723.472 Person th in 2017. This records an increase from the previous number of 16,014.000 Person th for 2006. Egypt Population: Census: Male: Urban data is updated yearly, averaging 6,132.000 Person th from Dec 1907 (Median) to 2017, with 11 observations. The data reached an all-time high of 20,723.472 Person th in 2017 and a record low of 1,001.000 Person th in 1907. Egypt Population: Census: Male: Urban data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.G004: Population: by Rural and Urban.

Land Cover Mapping Analysis And Urban Growth Modelling Using Remote Sensing Techniques In Greater Cairo RegionEgypt
This dataset falls under the category Traffic Generating Parameters Land Cover.
It contains the following data: This study modelled the urban growth in the Greater Cairo Region (GCR), one of the fastest growing mega cities in the world, using remote sensing data and ancillary data. Three land use land cover (LULC) maps (1984, 2003 and 2014) were produced from satellite images by using Support Vector Machines (SVM). Then, land cover changes were detected by applying a high level mapping technique that combines binary maps (change/no-change) and post classification comparison technique. The spatial and temporal urban growth patterns were analyzed using selected statistical metrics developed in the FRAGSTATS software. Major transitions to urban were modelled to predict the future scenarios for year 2025 using Land Change Modeller (LCM) embedded in the IDRISI software. The model results, after validation, indicated that 14% of the vegetation and 4% of the desert in 2014 will be urbanized in 2025. The urban areas within a 5-km buffer around: the Great Pyramids, Islamic Cairo and Al-Baron Palace were calculated, highlighting an intense urbanization especially around the Pyramids; 28% in 2014 up to 40% in 2025. Knowing the current and estimated urbanization situation in GCR will help decision makers to adjust and develop new plans to achieve a sustainable development of urban areas and to protect the historical locations.
This dataset was scouted on 2022-02-03 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://www.researchgate.net/publication/282321895_Land_Cover_Mapping_Analysis_and_Urban_Growth_Modelling_Using_Remote_Sensing_Techniques_in_Greater_Cairo_Region-Egypt

Egypt Number of Households: Urban data was reported at 10,967.000 Unit in 2015. This records an increase from the previous number of 6,731.000 Unit for 2013. Egypt Number of Households: Urban data is updated yearly, averaging 10,967.000 Unit from Jun 2005 (Median) to 2015, with 5 observations. The data reached an all-time high of 21,995.000 Unit in 2005 and a record low of 6,731.000 Unit in 2013. Egypt Number of Households: Urban data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.H013: Number of Households.

According to a survey conducted between 2021 and 2022, the share of households using the internet from home in urban areas was ** percent. This was higher compared to the proportion with internet access at home in rural areas, which was **** percent.

This raster layer shows the areas of Cairo, Egypt which were developed between 1990 and 2000. Categories of new development represented in these data include: infill, extension and leapfrog. Infill represents development within all the open spaces in the urban footprint of the earlier period excluding exterior open space. Extension represents development in contiguous clusters that contained exterior open space in the earlier period and that were not infUnited States Leapfrog represents development entirely outside the exterior open space of the earlier period. These data are part of the Atlas of Urban Expansion.

Population in the largest city (% of urban population) in Egypt was reported at 44.88 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Egypt - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

This dataset provides detailed information on road surfaces from OpenStreetMap (OSM) data, distinguishing between paved and unpaved surfaces across the region. This information is based on road surface prediction derived from hybrid deep learning approach. For more information on Methods, refer to the paper

Roughly 0.6438 million km of roads are mapped in OSM in this region. Based on AI-mapped estimates the share of paved and unpaved roads is approximately 0.0602 and 0.0169 (in million kms), corressponding to 9.344% and 2.6252% respectively of the total road length in the dataset region. 0.5667 million km or 88.0308% of road surface information is missing in OSM. In order to fill this gap, Mapillary derived road surface dataset provides an additional 0.0022 million km of information (corressponding to 0.3924% of total missing information on road surface)

It is intended for use in transportation planning, infrastructure analysis, climate emissions and geographic information system (GIS) applications.

This dataset provides comprehensive information on road and urban area features, including location, surface quality, and classification metadata. This dataset includes attributes from OpenStreetMap (OSM) data, AI predictions for road surface, and urban classifications.

AI features:

• pred_class: Model-predicted class for the road surface, with values "paved" or "unpaved."

• pred_label: Binary label associated with pred_class (0 = paved, 1 = unpaved).

• osm_surface_class: Classification of the surface type from OSM, categorized as "paved" or "unpaved."

• combined_surface_osm_priority: Surface classification combining pred_label and surface(OSM) while prioritizing the OSM surface tag, classified as "paved" or "unpaved."

• combined_surface_DL_priority: Surface classification combining pred_label and surface(OSM) while prioritizing DL prediction pred_label, classified as "paved" or "unpaved."

• n_of_predictions_used: Number of predictions used for the feature length estimation.

• predicted_length: Predicted length based on the DL model’s estimations, in meters.

• DL_mean_timestamp: Mean timestamp of the predictions used, for comparison.

OSM features may have these attributes(Learn what tags mean here):

• name: Name of the feature, if available in OSM.

• name:en: Name of the feature in English, if available in OSM.

• name:* (in local language): Name of the feature in the local official language, where available.

• highway: Road classification based on OSM tags (e.g., residential, motorway, footway).

• surface: Description of the surface material of the road (e.g., asphalt, gravel, dirt).

• smoothness: Assessment of surface smoothness (e.g., excellent, good, intermediate, bad).

• width: Width of the road, where available.

• lanes: Number of lanes on the road.

• oneway: Indicates if the road is one-way (yes or no).

• bridge: Specifies if the feature is a bridge (yes or no).

• layer: Indicates the layer of the feature in cases where multiple features are stacked (e.g., bridges, tunnels).

• source: Source of the data, indicating the origin or authority of specific attributes.

Urban classification features may have these attributes:

• continent: The continent where the data point is located (e.g., Europe, Asia).

• country_iso_a2: The ISO Alpha-2 code representing the country (e.g., "US" for the United States).

• urban: Binary indicator for urban areas based on the GHSU Urban Layer 2019. (0 = rural, 1 = urban)

• urban_area: Name of the urban area or city where the data point is located.

• osm_id: Unique identifier assigned by OpenStreetMap (OSM) to each feature.

• osm_type: Type of OSM element (e.g., node, way, relation).

The data originates from OpenStreetMap (OSM) and is augmented with model predictions using images downloaded from Mapillary in combination with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS2020 urban layer.

This dataset is one of many HeiGIT exports on HDX. See the HeiGIT website for more information.

We are looking forward to hearing about your use-case! Feel free to reach out to us and tell us about your research at communications@heigit.org – we would be happy to amplify your work.

The concept of settlement persistence, the duration of occupation of a settlement, has gained traction in archaeology as a way of articulating analyses of past societies in relation to sustainability science. Here we compare the durations of large settlements across Southwest Asia and the Nile Delta from 10,000 to 1000 years BP to investigate the drivers of persistence, and therefore sustainability. We find some regional differences in mean persistence, although these are muted, and that larger sites are more persistent than smaller ones. Persistence also decreases over time. Finally, we compare urban persistence to polity persistence, using the MOROS dataset on polity durations. We find that in our region cities are more persistent than polities, but that the distribution of the datasets is similar. Our results suggest there may be regularities in the mortality profiles of more-than-human systems such as cities and states, which merit further attention.

This raster layer contains the total area occupied by the built-up area of Cairo, Egypt and its urbanized open space in 1990. Categories of urban land use represented in these data include: urban, suburban, rural and urbanized open land. The built-up area of the city is the area occupied by built-up pixels within the set of administrative boundaries defining the city. The urbanized open space consists of all fringe open spaces (including exterior open spaces) and all captured open spaces. These data are part of the Atlas of Urban Expansion.

This horizontal bar chart displays urban population (people) by date using the aggregation sum in Egypt. The data is filtered where the date is 2023. The data is about countries per year.

Egypt Population: Urban data was reported at 40,432.000 Person th in 2017. This records an increase from the previous number of 38,895.000 Person th for 2016. Egypt Population: Urban data is updated yearly, averaging 29,391.500 Person th from Jun 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 40,432.000 Person th in 2017 and a record low of 22,519.000 Person th in 1990. Egypt Population: Urban data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.G004: Population: by Rural and Urban.

This paper revisits the planning and design factors of “pedestrianized” and “walkable” urban streets to encourage physical activity, focusing on their prioritization according to public health and smart growth. The aim is to create a conceptual framework for urban planners and de-signers to encourage walking and reduce metabolic syndrome (MetS) risks. Through a scoping re-view, the study found that while pedestrianized and walkable streets share many planning and design factors, they have different objectives. The study explores how urban planning and design can reduce MetS risk among middle-class individuals using online video storytelling for 30 partici-pants in three districts of Cairo, Egypt: El Zamalek, Old Cairo, and Heliopolis. It identifies three factors to address MetS symptoms for middle-class individuals: strategic, design-oriented, and tech-nical. Practitioners and policymakers can use this framework to evaluate the impact of their work works. This study is particularly relevant for cities in the Global South facing similar challenges.

As of the second quarter of 2021, the number of fixed telephone subscribers in urban areas was around *** million. During the period under review, the number telephone subscribers in urban areas followed an overall increasing trend.