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 0.653 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.

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 majority of tracts improved over the decade-long window. However, aggregate improvement masks significant variation: 30.5% 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.

Target: 153 Persistent Hot Spot tracts (17.2% of all Maricopa tracts): spatially concentrated, entrenched hardship confirmed by a Global Moran’s I of 0.653.

TODO: Write your first recommendation. Name the specific geographic corridor, cite the hardship index values, and propose a concrete place-based intervention with a named responsible entity.

Answer: Place-based investments should be prioritized in the persistent high-hardship corridor spanning South Phoenix through Maryvale in West Phoenix, where hardship index values remain consistently above the county average and cluster strongly in the high-high category. These tracts exhibit overlapping burdens of poverty, SNAP reliance, and limited vehicle access, indicating both economic distress and restricted mobility. A targeted intervention should focus on expanding transit accessibility and food access infrastructure, led by the Valley Metro in partnership with the City of Phoenix Human Service Department, including increases bus frequency, subsidized transit passes, and the development of neighborhood-based food distribution hubs. Such coordinated, place-based strategies directly addresses the structural barriers reinforcing persistent hardship barriers in these corridors.In addition, co-locating services such as workforce development centers and SNAP enrollment assistance within these hubs would help address multiple dimensions of hardship simultaneously.

By concentrating resources in these persistently disadvantaged corridors, policymakers can directly address the structural barriers such as limited mobility, food insecurity, and constrained access to employment that reinforce long-term hardship. This integrated, place-based approach is more likely to produce sustained improvements than fragmented interventions, as it aligns transportation, food access, and economic opportunity within the same high-need neighborhoods.

Target: 24 Emerging Hot Spot tracts (2.8% of all Maricopa tracts), new high-hardship clusters not present in 2013, signaling spatial expansion.

TODO: Reference the displacement paradox, identify where these clusters are forming, and propose an early-intervention or monitoring strategy.

Answer: Emerging hot spots tracts are beginning to appear on the western and southwestern edges of Maricopa County, particularly in areas adjacent to established hardship corridors in West Phoenix. This pattern reflects the displacement paradox, where apparent improvements in core neighborhoods may coincide with the outward movement of vulnerable populations into more peripheral areas with fewer resources. To address this, an early intervention strategy should focus on proactive monitoring of these tracts using regular updates of hardship indicators, combined with targeted outreach before conditions fully deteriorate. The Maricopa County Office OF Community Development should lead a data-driven monitoring system that regularly tracks changes in key indicators such as SNAP participation, rent burden, and transportation access at the tract level. This system should be paired with coordinated outreach efforts to identify emerging needs in real time.

In addition, the county should work with local partners to deploy preventive supports in these at-risk areas, including rental assistance to stabilize housing, mobile food access programs to address early signs of food insecurity, and targeted transit service expansions to improve connectivity to jobs and services. BY intervening early in these emerging hot spots, policymakers can slow or prevent the spatial spread of hardship and reduce the likelihood that these tracts evolve into persistent high-poverty clusters.

Evidence base: 57.7% of tracts improved (2013→2023) but 30.5% worsened; Moran’s I = 0.653 confirms strong spatial clustering persists.

TODO: Using the trajectory map and mobility Sankey, make a forward-looking data-monitoring or cross-sector coordination argument.

Answer: While a majority of tracts show improvement, the coexistence of worsening areas and persistent spatial clustering indicates that hardship is uneven and dynamic across Maricopa County. The trajectory map and mobility Sankey reveal that some neighborhoods are cycling between hardship levels rather than experiencing sustained progress, particularly in areas bordering South Phoenix and West Phoenix. To respond effectively, the policymakers should establish a cross-sector data monitoring system that integrates housing, transportation, and social service indicators to track neighborhood change in near real time. This effort should be coordinated by the Maricopa Association of Governments in collaboration with local agencies such as county human services, housing authorities, and transit providers. Regular data updates and shared dashboards would allow agencies to identify early warning signs of decline, such as rising SNAP participation or declining mobility access, and respond more quickly.

In addition, this system should support coordinated interventions across sectors rather than isolated programmatic responses. For example, when a tract begins to show signs of worsening hardship, agencies could jointly deploy housing stabilization resources, transit service adjustments, and workforce support programs. BY aligning data, decision-making, and service delivery, this forward-looking approach can help sustain improvements in recovering neighborhoods while preventing backsliding into persistent hardship.

, enabling earlier detection of negative trends and more adaptive, coordinated interventions across sectors.

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

Current index: 5-component EHI: Poverty + Unemployment + Income (inv.) + 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 Food Insecurity (SNAP) + Transp. Disadvantage shift which tracts or corridors are flagged?

Answer: After expanding the Economic hardship Index to include SNAP receipt and transportation disadvantage (no vehicle access), the spatial pattern of hardship in Maricopa County shows moderate but meaningful changes. The share of tracts classified as improved declined from 63.9% in the baseline model to 57.7%, while the proportion of tracts that worsened increased slightly from 29.4% to 30.5%. Persistent high-hardship tracts remained relatively stable, increasing marginally from 17.0% to 17.2%, and emerging hot spots changed on slightly from 2.9% to 2.8%.

Geographically, the core clusters of hardship remain concentrated in South Phoenix and West Phoenix, including areas such as Maryvale, which contribute to exhibit persistent high hardship. However, the expanded index shows a slight outward spread of worsening conditions into nearby tracts, particularly in western and peripheral parts of the county.In particular, several peripheral tracts on the western edge of Maricopa County that were previously classified as stable or improving under the baseline index appear to shift toward worsening or higher hardship categories in the expanded index. This suggests that adding SNAP and no-vehicle rates captures additional vulnerability in areas that may not have appeared as high hardship under the baseline model. Overall, the spatial pattern becomes slightly less optimistic, with fewer tracts classified as improving and more showing signs of worsening, while the main geographic clusters of disadvantage remain stable.

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?

Answer: The Persistent Hot Spots areas remain largely unchanged after expanding the index to include SNAP receipt and transportation disadvantage. The share of persistently high-hardship tracts stays nearly constant, shifting only slightly from 17.0% in the baseline model to 17.2% in the expanded index. These stable clusters continue to be concentrated in South Phoenix and West Phoenix, particularly in historically disadvantages corridors such as Maryvale and surrounding west-side neighborhoods.

IN addition, there is little to no change in the specific tracts flagged within these corridors, indicating that the same neighborhoods remain consistently classified as high-hardship across both index specifications. The fact that these same areas are consistently identified as high-hardship clusters across different index specifications indicates that hardship in these tracts is deeply entrenched and not sensitive to how it is measured. Even when additional indicators capturing food insecurity and transportation disadvantage are included, these neighborhoods remain classified as persistent hot spots.

This consistency strengthens confidence that these areas are not artifacts of measurement but instead structurally embedded disadvantage driven by long-standing inequalities such as concentrated poverty, limited economic opportunity, and constrained access to resources. As a result, these corridors represent high-priority targets for sustained, place-based policy interventions.

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.

Answer: Resource allocation would differ somewhat between the baseline and expanded index, even though the core high-hardship areas remain consistent. Under the baseline index, place-based investments would be concentrated in the most visibly disadvantaged tracts in South Phoenix and West Phoenix, where poverty, unemployment, and low income are already high. These areas including neighborhoods such as Maryvale would be prioritized under both index specifications due to their persistent and deeply entrenched hardship.

However, the expanded index that includes SNAP receipt and lack of vehicle access would likely shift additional resources toward nearby and peripheral tracts that may not rank as highly under the baseline model. These include areas with elevated SNAP participation and limited transportation access, which indicate barriers to food security and mobility. As a result, some tracts that appeared to be improving under the baseline index are reclassified as worsening or persistently disadvantaged, suggesting that they face hidden forms of hardship not captured by income-based measure alone.

From the policy perspective, the expanded index is more appropriate for targeting resources because it captures a broader, multidimensional burden of hardship.While the baseline index identifies areas of concentrated economic disadvantage, it may overlook households that struggle with access to food, employment, and services due to transportation constraints. By incorporating SNAP and no-vehicle rates, the expanded index better reflects real-world barriers faced by vulnerable populations, supporting more comprehensive interventions such as transit improvements, food access programs, and mobility-focused service. Therefore, while both indices would prioritize the same core corridors, the expanded index provides a more complete basis for equitable and effective policy targeting.