blogging home for Dr. JMW's independent research creations
Ethnoracial Equity in Metro Atlanta Neighborhoods: Representation from Two Distinct Perspectives
So far, Tiffani has noted some significant and remarkable findings from her Ethnoracial Equity Neighborhood Dataset. She has gained insight on the neighborhoods-based view of the ethnoracial representation numbers across Metro Atlanta and how these households are distributed across certain neighborhood types. She has been able to deepen her understanding of Black homeownership in Metro Atlanta by tying a simple yet significant finding on Black homeownership equity to a larger context that shows that comparatively high Black homeownership is occurring in neighborhoods that lean towards economically advantaged.
Ethnoracial Equity in Metro Atlanta Neighborhoods: Majority-of-Group Thresholds
With much anticipation, Tiffani, as the Policy Director for a community-based nonprofit, opens her Ethnoracial Equity Neighborhood Dataset and begins exploring the data with this question in mind: If I go from economically advantaged neighborhoods and work my way down the neighborhood stratification ladder, how far would I need to go before reaching the threshold of having the majority of an ethnoracial group represented? Generally speaking, she knows that there are three neighborhood types: advantaged, disadvantaged, and middling, but she appreciates having a dataset that offers more nuance. Going from the top of the ladder to the bottom, Tiffani’s dataset consists of the following socioeconomic neighborhood types: 1) advantaged, 2) semi-advantaged, 3) middling, 4) semi-disadvantaged, and 5) disadvantaged.
Ethnoracial Equity in Metro Atlanta Neighborhoods: Stage-Setting
After reviewing the housing stability-focused Benchmark Your Metro results showing that Metro Atlanta is the top dog among its Peer Metros on ethnoracial equity measures, Tiffani Martin wants to take a deeper look. She places a new order for a Neighborhood Deep-Dive Dataset with the following parameters:
Meaningful Neighborhood Data from the Driver's Seat
Meaningful data is data that you intentionally seek out to close specific gaps in information. The Neighborhood Deep-Dive Datasets service is built in the spirit of connecting leaders, advocates, and concerned citizens with robust data that is immediately useful to them and their objectives. We allow these patrons to hop in the driver’s seat, claim the data that they need, and tailor how the datasets are structured and delivered.
Summer 2026 Neighborhood Deep-Dive Datasets
A logical follow-up to digesting the Benchmark Your Metro findings is to take a deep-dive into how the results translate to the neighborhood level. For example, if the benchmarking analysis reveals that your community is 'middle of the pack' on housing stability like Louisville, Atlanta, or Philadelphia, you can take a deeper look at how this echoed in what households at specific income levels can afford.
Measuring Metros on Housing Stability
There is no way around it. Housing stability is a pivotal matter that indicates the level of relational connectedness in a community. It speaks to a community’s ability to rally around principles of justice and fairness. The ability to balance the forces of profit maximization and ensuring reasonable access to basic needs. Housing stability, and the lack thereof, is also very visible. We see the many tents and carts adjacent to interstates and major roadways. We’re becoming more and more aware of how vulnerable low-income community members are to eviction and shady landlords who do little to nothing to upkeep their rental properties.
Benchmarking Greenville on Housing Stability
For most of us, living in the contemporary United States means engaging in a weekly struggle to secure enough money to meet our basic needs. If we take for granted all of the merit involved in “eating by what you earn,” the question remains: ‘What is reasonable and fair when it comes to the wages we earn from our labor and what it costs to secure safe and decent housing?’ Analysts, advocates, and policy people have sought insight on this housing stability question in a variety of ways. This analysis focuses strictly on the data by comparing the housing stability characteristics of Greenville—a metro showing progressive signals—to metros that share its baseline housing stability profile.