Location is one of the most powerful determinants of a university’s early-years success and one of the most frequently underestimated factors in new university planning. Most promoters choose a location based on where they own land or where they have personal or business connections. This is the wrong starting point. Location should be chosen based on a structured analysis of market demand, competitive supply, infrastructure, student accessibility, and state government environment. Done systematically, location selection can give a new university a genuine competitive advantage. Done arbitrarily, it can place an otherwise well-designed institution in a market where it will struggle to fill seats.
EROCON scores candidate locations on this framework as a standard component of the feasibility study, presenting promoters with a clear, quantified comparison of alternative sites rather than a subjective recommendation.
Factor 1: Catchment Population and Student Density
The most fundamental location variable is the density of the 15-24 age cohort within a realistic travel distance from the campus. For day-scholar-dependent universities (where students commute daily and return home in the evening), this is typically a 30-50 km radius. For residential universities (where students live on campus), the effective catchment can extend to 200-300 km or beyond. EROCON uses district-level Census data to map the 15-24 population density within multiple radius bands around proposed locations, allowing us to quantitatively compare the potential student base available from different sites.
Factor 2: Competitive Landscape in the Catchment
A high-population catchment is less attractive if it is already heavily served by strong competitors. The ideal location for a new university has: high student demand, relatively few existing competitors offering the proposed program portfolio, and competitors that are weak in quality, poor in facilities, or have limited capacity for growth. EROCON maps all existing higher education institutions within each candidate location’s catchment, scores them on quality and capacity, and calculates the Competitive Intensity Index for each candidate location, giving promoters a clear, evidence-based comparison.
Factor 3: Infrastructure and Accessibility
Student enrollment decisions are heavily influenced by accessibility, how easy it is for students (and their families) to visit the campus, how long the daily commute takes for day scholars, and how convenient it is for parents to travel for admission consultations and family days. Key infrastructure factors to assess: distance and travel time to the nearest railway station and major bus terminus, proximity to NH/State Highway for road accessibility, availability of public transport (shared autos, buses) between the campus and the nearest town, and distance to the nearest airport (important for students from other states and faculty mobility).
Factor 4: Land Cost and Availability
Land cost has a direct impact on the capital efficiency of the project. A location where adequate land (20-30 acres) is available at ₹20-50 lakh per acre produces a project with a far better return profile than one where land costs ₹5-10 crore per acre. However, pure cost minimisation that drives the institution to a very remote location will damage enrollment. The ideal location balances accessibility (close enough to attract students) with land cost (far enough from metro centres to keep costs manageable). In most of India’s Tier-2 cities and growing urban centres, this balance is achievable within a 15-30 km radius of the city centre.
Factor 5: State Government Environment
The regulatory environment in the state where the university is located significantly affects both the ease of establishment and the long-term operational environment. Factors to assess: does the state have an active, functional Private University Act with a clear application process? What is the current state government’s posture toward private higher education investment? What incentives (land at subsidised rates, registration fee waivers, single-window clearances) does the state offer to new university promoters? How active is the state’s higher education department in processing applications and what is the realistic timeline from application to ordinance passage in the current political environment? EROCON maintains current state-by-state intelligence on all of these factors and advises clients accordingly.
Factor 6: Faculty Availability
A campus location only works if you can recruit adequate faculty to staff it. This is an often-overlooked location factor that can create serious operational problems. Highly remote locations struggle to attract qualified faculty who are not willing to relocate their families. A university in a location where PhD-qualified faculty are not available within commuting distance (or willing to relocate) will face chronic faculty quality and retention challenges. EROCON assesses faculty availability as part of the location analysis, mapping the density of PhD and postgraduate-qualified professionals in the proposed disciplines within a 50 km radius of the site.
The Location Scoring Framework
| Factor | Weight | Key Metrics |
|---|---|---|
| Catchment Population / Student Density | 25% | 15-24 cohort size within 50km and 150km; higher education participation rate in district |
| Competitive Landscape | 20% | Number and quality of competing institutions; estimated demand-supply gap in target disciplines |
| Infrastructure and Accessibility | 20% | Travel time to nearest railway station; distance to NH; public transport availability |
| Land Cost and Availability | 15% | Current market rate per acre; availability of 20-30 acres in consolidated form |
| State Government Environment | 15% | Active Private University Act; application timeline; investment incentives offered |
| Faculty Availability | 5% | PhD-qualified professionals within 50km commuting distance |
