Demographic Analysis for Retail Locations

Retail dynamics - Beyond city classifications. If Mumbai is a metro city, there are locations within Mumbai that exhibit both metro and tier 1/2 behavior. If Ahmedabad is a tier 1 city, there are locations within the city that exhibit both metro and tier 1/2 behavior. India’s cities are diverse, and retail dynamics can vary significantly even within the same city. - Bangalore: Koramangala/Indiranagar stand out for their metro dynamics with high-end retail, whereas Whitefield/Kamanahalli often show a mix of Tier 1 and Tier 2 consumer preferences. - Mumbai: Kala Ghoda/Juhu/Hiranandani Powai/AndheriW show typical metro behaviors, focusing on premium brands, while Borivali/Mulund/Kurla lean towards value-driven Tier 1/2-like preferences. - Kolkata: Park Street reflects metro sensibilities, while New Market/Lindsay street cater to Tier 1/2 like preferences. - Hyderabad: Banjara Hills/Jubilee Hills display metro behavior with premium and upscale products, while areas like Ameerpet/Dilsukhnagar lean towards Tier 2 shopping habits. - Lucknow: Hazratganj reflects Tier 1 behavior, offering aspirational products, while Alambagh serves a Tier 2 audience with a focus on affordability. - Ahmedabad: CG Road represents Tier 1 preferences, while Naroda mirrors Tier 3 habits. - Delhi: Khan Market/CP cater to luxury consumers, while Karol Bagh/Rohini/Pitampura skew towards more value for money behavior. - Pune: Koregaon Park thrives with metro-style retail, while Hadapsar/Pimple Saudagar reflect a mix of Tier 1 and Tier 2 traits. Going slightly more hyperlocal helps —planning assortments by MRP, category, fashionability (basic/fashion/high fashion), consumer behavior etc. #Retail #ConsumerBehavior #IndianMarket #RetailStrategy #Localization

A data-driven location strategy can give you a critical edge in business and real estate over your competitors. However, it can be difficult to know where to start, especially if you are optimizing your expenses. Read below for an overview of FREE resources I find indispensable in my work: 📊 The American Community Survey, or ACS, is the best resource for granular demographic data in the United States. Get information on population structure, income, housing, education, and so much more all the way down to the neighborhood level. Example: https://lnkd.in/gYb9QX-z 📈 The LEHD Origin-Destination Employment Statistics, or LODES dataset, is another valuable dataset for high-resolution analysis of the US labor market. Analyze on worker & resident locations - and the flows between them - all the way down to the city block. Example: https://lnkd.in/guCYj2mZ 🌎 The Overture Maps "places" dataset is a global point-of-interest layer supported by tech giants like Meta, Amazon, and Microsoft. You can pull retailer locations (and much more) from a dataset of over 55 million global POIs. Example: https://lnkd.in/gVyBsJRw 🗺️ The US DHS's Homeland Infrastructure Foundation-Level Data, or HIFLD, makes data on US "critical infrastructure" available to the public. You can get data on health care (e.g. hospitals) & energy infrastructure (fueling stations, pipelines), and much more. Example: https://lnkd.in/gU94pvSf To summarize, these FREE datasets can be invaluable to your business strategy: - ACS: https://lnkd.in/gez4dhP5 - LODES: https://lnkd.in/g_R65qRy - Overture Maps: https://overturemaps.org/ - HIFLD: https://lnkd.in/gpe4rh9M Need help getting started with these resources? Don't hesitate to reach out!

The Commercial Real Estate beginner’s 5-step blueprint to decoding a neighborhood's potential (before your competitors catch on). Last week, I went over different demographics which make certain locations attractive investment spots. 5 steps to put it into practice: 1) Pull Demographic Reports Websites like CoStar, ESRI, and Census Reporter provide detailed demographic data for specific geographies. Input your target market and start exploring key metrics like: • Age distribution • Population growth • Employment by industry • Income and education levels 2) Study Trends Over Time Analyze changes over the past 5-10 years. Are population and incomes growing? Are new industries emerging? Positive trends signal future growth potential. 3) Compare To The National Average Is population growth faster than the US average? Are incomes higher? This helps gauge the relative strength of the location. 4) Talk To Local Experts Data is important, but so is on-the-ground knowledge. Contact local commercial brokers and property managers. Ask what they're seeing around growth, demand drivers, and challenges. Their insights can help color your analysis. 5) Consider Future Developments Anticipating future changes is huge. • Rezoning initiatives • Planned infrastructure projects • Major corporate expansions/relocations nearby These could significantly impact demand and values. Remember: no location is perfect, and every market has its risks. Getting these reps in early will develop your sense of smell for red flags and green lights. When you can decode a neighborhood's demographic signals, you're not just buying property. You're buying into opportunity. ____________________________ Hi, I’m Richard Stroupe, a 3x Entrepreneur, and VC Investor Follow for more on using cash-flowing Real Estate projects to support startup investments.