Russian Large Urban Regions with Population Data, 2020

Large Urban Regions (LURs) in Russia are constructed by aggregating municipal districts around core cities based on economic and social interdependence. The delineation uses criteria like population distribution, road networks, and distance from a core to create comparable statistical units for national and global urban studies. Mikhail Rogov from the University of Lausanne created this database, which includes population data for each LUR and its administrative units.

Use Cases

• Ranking Russian cities in a global urban hierarchy based on constructed LUR boundaries.
• Analyzing socioeconomic interdependencies between a core city and its surrounding region.
• Studying population distribution within economically integrated urban areas.
• Comparing urban regions using a standardized definition that includes their full area of economic influence.

Strengths

• Constructed using a multi-criteria methodology including population, road networks, and firm presence.
• Based on established urban concepts (political, morphological, functional definitions, conurbation).
• Provides population data for both the aggregated Large Urban Region and its constituent administrative units.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Mikhail Rogov, University of Lausanne

Collection Method

Aggregation of continuous statistical units using criteria such as population distribution, road networks, access to an airport, distance from a core, and presence of multinational firms.

Time Range

2020

Geography

Russia