These census tracts had statistically significant high-hardship clustering in both 2013 and 2019. The pattern is not random: a Global Moran’s I of 0.684 confirms that hardship is spatially concentrated, not scattered. Tracts in this category share infrastructure deficits, limited employment access, and concentrated poverty that reinforce one another across neighborhood boundaries.

Implication: Individual-level interventions alone are unlikely to move the needle. Place-based, multi-sector investment is required.

The 158 Persistent Hot Spot tracts do not appear randomly across Maricopa County. They follow a corridor that decades of policy decisions built. Running southward from downtown Phoenix through Laveen and westward toward Tolleson and Avondale, these tracts occupy the same geographic footprint shaped by mid-twentieth century redlining, urban renewal clearance, and deliberate concentration of industrial land uses in communities of color, leaving behind infrastructure deficits and disinvestment that aggregate economic recovery has not reached.

These tracts were not significant hardship clusters in 2013 but became statistically significant by 2019, representing the spatial expansion of hardship beyond historically distressed cores. This is an early warning signal that hardship is spreading, not contained.

Displacement paradox: Some “improving” tracts nearby may be gentrifying, pushing lower-income households outward into these emerging clusters. Declining hardship scores do not necessarily mean existing residents are better off.

The 24 Emerging Hot Spot tracts tell a displacement story more than a deterioration story. They are forming in central Glendale and west Mesa communities that were stable in 2013 but sit directly adjacent to the gentrifying edges of the south Phoenix persistent core. As lower-income households are pushed outward by rising rents and redevelopment pressure, they are landing in these inner-ring suburbs, moving the hardship geographically without resolving it for the families experiencing it.

The majority of tracts improved over the decade-long window. However, aggregate improvement masks significant variation: 31.1% of tracts worsened over the same period. The data cannot distinguish genuine economic uplift from population turnover: a tract with a declining hardship index may simply have replaced lower-income residents with higher-income newcomers.

Data limitation: Before drawing conclusions from improving scores, ground-truth verification through community engagement and displacement tracking is essential.

In Maricopa County, the 53.7% of tracts that improved between 2013 and 2023 are concentrated in the north and east suburban corridors. Thus, Scottsdale, Chandler, and Gilbert where post-recession growth was strongest. The 31.1% that worsened are disproportionately in the south and west Phoenix inner-ring suburbs. Before treating any improving tract as a success, eviction records, school enrollment data, and community surveys are essential to distinguish genuine resident uplift from displacement-driven statistical improvement.

Target: 158 Persistent Hot Spot tracts (17.8% of all Maricopa tracts): spatially concentrated, entrenched hardship confirmed by a Global Moran’s I of 0.684.

For the 158 Persistent Hot Spot tracts anchored in south and west Phoenix, the data makes a clear argument. These neighborhoods did not accumulate disadvantages by accident and will not recover from it by accident either. A Global Moran’s I of 0.684 tells us hardship here is structurally self-reinforcing across tract boundaries. Thus, the Maricopa County Office of Community Development and the City of Phoenix Housing Department must invest at the corridor scale by targeting transit access to East Valley employment centers, school capital investment tied to keeping existing residents enrolled rather than attracting newcomers, and industrial land remediation that simultaneously addresses health burdens and unlocks redevelopment capacity

Target: 24 Emerging Hot Spot tracts (2.7% of all Maricopa tracts), new high-hardship clusters not present in 2013, signaling spatial expansion.

The 24 Emerging Hot Spot tracts in central Glendale and west Mesa are not simply struggling neighborhoods. They are the landing zones for households displaced from gentrifying south Phoenix tracts, absorbing population pressure without absorbing corresponding investment. Allowing this pattern to continue unchecked risks creating a second persistent core a decade from now. The appropriate response is a displacement early-warning system quarterly tracking of eviction filings, SNAP uptake, and school enrollment volatility at the tract level, combined with affordable housing preservation ordinances that slow the displacement pipeline before these communities cross the structural tipping point the persistent core already passed years ago. Moreover, Intervening at the emerging stage costs substantially less than reversing structural hardship after the tipping point has been crossed, making these 24 tracts a high-return preventive investment target relative to their 2.7% share of county tracts.

Evidence base: 53.7% of tracts improved (2013→2023) but 31.1% worsened; Moran’s I = 0.684 confirms strong spatial clustering persists.

The aggregate improvement figure 53.7% of tracts improving between 2013 and 2023 overstates progress for the communities that need it most. The Sankey diagram shows that first-quintile tracts, the most distressed, show the least upward quintile mobility, while a Moran’s I of 0.684 confirms that spatial clustering of hardship persists despite countywide gains. Maricopa County needs a standing cross-sector monitoring dashboard, updated with each American Community Survey (ACS) release and integrated with eviction court records, school enrollment data, and SNAP uptake. Thus, to detect emerging trajectories before they consolidate and to distinguish genuine resident-level improvement from statistical improvement driven by displacement and population turnover.

The baseline EHI consists of 3 measures: Poverty + Unemployment + Income (inv.)

Current index: 7-component EHI: Poverty + Unemployment + Income (inv.) + Renter Burden + Low Ed. Attainment + Food Insecurity (SNAP) + Transp. Disadvantage

Q1: What changed spatially?
Compare Hot Spot tract counts and cluster map patterns between your expanded index and the 3-component baseline. Did adding Renter Burden + Low Ed. Attainment + Food Insecurity (SNAP) + Transp. Disadvantage shift which tracts or corridors are flagged?

When I expanded the index from three variables to seven, the map did not simply get brighter in the same places. It flagged new places entirely. The Global Moran’s I climbed to 0.684, signaling that the expanded index captures a more tightly clustered spatial distribution of disadvantage, and the Persistent HH count rose to 158 tracts (17.8% of the county). Most tellingly, tracts in central Glendale and west Mesa that the baseline had treated as stable entered hot spot classification once renter burden, SNAP receipt, and transportation disadvantage were added to the picture. These are communities where households are technically above the poverty line but face severe simultaneous constraints. The baseline index was simply not built to see them.

Q2: What stayed the same?
Which Persistent Hot Spot areas appear robustly across index specifications? What does consistency across different index compositions tell us about the reliability of hardship diagnoses in those tracts?

No matter how the index was configured, three variables or seven, poverty-heavy or housing-heavy, the south and west Phoenix corridor never left the hardship map. The tracts running through Laveen, Tolleson, and Avondale appeared as Persistent HH under every specification I tested, which is analytically the most important finding of the sensitivity analysis. Robustness across measurement approaches is not a statistical curiosity. It is confirmation that hardship in these communities is deep enough and multidimensional enough to be visible from almost any angle.These are the tracts Sampson (2012) would predict to be most resistant to market-driven recovery, and the data bears that out regardless of which indicators we use to look.

Q3: Policy implications of index choice
If a policymaker targeted place-based investments using the baseline index versus your expanded index, would resource allocation differ? Name specific tracts or geographic corridors and argue which composition better captures the full burden of economic hardship for policy purposes.

The gap between the baseline and expanded index is not just a statistical Difference. It is a resource allocation difference with real consequences for real communities. Under the 3-variable baseline, central Glendale and west Mesa tracts with moderate poverty but high renter burden and no-vehicle households would not qualify for many place-based investment programs. Under the 7-component index, they enter the hardship map and become eligible. Amartya Sen’s Capability Approach makes the normative case plainly: a family above the poverty line but without a car, without food security, and without a high school diploma faces genuine deprivation that poverty-ratetargeting will never reach. With 31.1% of tracts worsening between 2013 and 2023, choosing the right index is not an academic question but it determines whose neighborhood gets investment and whose does not.