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.

In Maricopa County, the persistent hot spot pattern is most visible in the central and southwest Phoenix corridor, including areas around Maryvale, west Phoenix, and South Phoenix. These areas should be treated as connected neighborhood systems rather than isolated tracts because the LISA results show clustered hardship across adjacent places.

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.

Emerging hot spots appear most relevant along the edges of the established Phoenix hardship corridor, where lower cost rental areas, limited transportation access, and changing housing markets can push hardship outward. This supports the displacement paradox because a tract can appear to improve while vulnerable residents move into nearby areas that then begin to show new hardship clustering.

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.

For Maricopa County, this is especially important because regional growth around Phoenix can improve aggregate indicators while also increasing housing pressure for lower-income households. The expanded index should be read alongside the trajectory map so that improvement is not mistaken for equitable recovery without additional evidence from residents, housing data, and service providers.

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.

Recommendation: Maricopa County and the City of Phoenix should prioritize a place based economic mobility strategy in the central and southwest Phoenix corridor, especially around persistent hot spot areas such as Maryvale, west Phoenix, and South Phoenix. Because the dashboard identifies 158 persistent hot spot tracts, representing 17.8% of Maricopa tracts, the intervention should combine workforce navigation, rental stabilization, benefits enrollment, and transit access rather than treating employment, housing, and transportation as separate problems. The Maricopa County Human Services Department, City of Phoenix Neighborhood Services Department, and local workforce boards should jointly administer the effort and use tract level EHI values to prioritize the highest hardship clusters first.

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

Recommendation: The county should create an early warning monitoring program for emerging hot spots, especially along the edges of the established Phoenix hardship corridor where displacement pressure may be moving hardship outward. The dashboard identifies 24 emerging hot spot tracts, or 2.7% of Maricopa tracts, which suggests that some communities are newly crossing into statistically significant high hardship clustering. Maricopa Association of Governments and city planning departments should monitor rent changes, eviction filings, SNAP receipt, transit access, and no-vehicle households in these tracts so that support can be deployed before hardship becomes persistent.

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

Recommendation: Maricopa County should use the trajectory map and Sankey mobility results as a standing monitoring tool rather than as a one time dashboard. Since 53.7% of tracts improved while 31.1% worsened, the county needs a cross sector review process that separates genuine neighborhood improvement from displacement or population turnover. A practical next step is a yearly hardship review led by Maricopa Association of Governments, the county human services system, local housing agencies, transit planners, school districts, and community organizations, with priority given to tracts that remain in high hardship quintiles or move toward worse quintiles over time.

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?

The expanded index adds renter burden, low educational attainment, SNAP receipt, and no-vehicle access to the original poverty, unemployment, and inverted-income measures. The 3 component baseline dashboard reported 201 statewide Arizona HH hot spot tracts, while this expanded dashboard reports 267 statewide HH hot spot tracts. Spatially, the added variables make the map more sensitive to areas where economic hardship is reinforced by housing pressure, limited education, food assistance dependence, and transportation disadvantage, especially around central Phoenix, west Phoenix, South Phoenix, and other parts of the Maricopa urban core.

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?

The most robust persistent hot spot areas remain concentrated in the Phoenix centered hardship corridor, particularly around west Phoenix, Maryvale, and South Phoenix. The baseline dashboard identified 150 persistent HH tracts, and this expanded dashboard identifies 158 persistent HH tracts. The fact that these areas remain visible after expanding the index suggests that their hardship is not an artifact of one variable; instead, multiple dimensions of disadvantage appear to overlap in the same neighborhoods.

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.

Resource allocation would likely differ because the expanded index captures forms of disadvantage that the baseline index cannot see as directly. A baseline index built only from poverty, unemployment, and income is useful, but it may understate hardship in tracts where residents face high rental dependence, limited educational attainment, SNAP reliance, or no vehicle access. For policy purposes, the expanded composition is stronger for Maricopa County because it better captures the practical barriers facing residents in the central and southwest Phoenix corridor, where place based investment should include housing stability, workforce development, food access, and transportation connections.