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Data as of June 10, 2026 · 189 approved survey responses in the live database. Methodology

How to explore the data

  • Interactive Data — filter by state, industry, impacts, and more; click charts or use the filter builder. Share URLs with your filter selections.
  • Digest Insights — severity index, risk cohorts, and targeting views for decision-oriented summaries.

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Digest Insights

Decision-focused summary built from current survey aggregates. Use these views to prioritize action quickly.

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Impact severity index
79.3 / 100

Weighted composite across impact domains + stress

Estimated respondents represented
189

Derived from aggregate cohort totals

Average stress score
9.0 / 10

Self-reported stress in current filtered sample

Top impact bundle
22.9%

Work + financial + legal pressure

High-priority geographies
5

Top risk cohort: Age range · 25 - 34

Overall impact level
A combined score showing how widespread and intense impacts are in this filtered group.

Overall impact score

79.3 / 100 (High)

Average stress in this group: 9.0 / 10

DomainShareWeightHow much this affects the score
Legal/immigration impact100.0%1.30x14.2%
Stress intensity89.5%1.40x13.7%
Financial strain100.0%1.20x13.1%
Health burden100.0%1.10x12.0%
Family disruption100.0%0.95x10.4%
Employment disruption61.4%1.25x8.4%
Housing instability43.6%1.00x4.8%
Education disruption26.7%0.95x2.8%

What this means

A higher score means impacts are both widespread and intense in this group—use it to see where relief could reduce overall burden fastest.

How this is calculated

The score blends prevalence across employment, legal, financial, housing, family, education, health, and stress intensity using fixed custom weights.

Top risk cohorts
Highest-volume groups adjusted by current severity conditions.

What this means

These cohorts combine meaningful sample size with elevated risk scores—useful for prioritizing advocacy, legal aid, or employer outreach.

How this is calculated

Risk scores adjust each group's share by current severity conditions in the filtered sample and rank cohorts by combined exposure.

25 - 34

Age range · 39.7% · Risk 50.4 (Moderate)

Sub-Saharan Africa

Birth region · 35.4% · Risk 46.2 (Moderate)

3 to 5 years

US tenure · 25.9% · Risk 44.3 (Moderate)

Master's degree

Education · 28.6% · Risk 43.8 (Moderate)

6 to 10 years

Worldwide experience · 25.4% · Risk 41.6 (Moderate)

6 to 10 years

US tenure · 20.1% · Risk 40.2 (Moderate)

35 - 44

Age range · 22.8% · Risk 38.6 (Moderate)

Technology or IT

Industry · 15.9% · Risk 38.5 (Moderate)

Top factors linked with higher stress
Ranked by how strongly each factor aligns with higher stress in this filtered group.

Legal/immigration impact: Legal and immigration consequences are elevated

Stress intensity: Respondents report high mean stress

Financial strain: Financial pressure appears widespread

Health burden: Health and wellbeing impacts stay elevated

What this means

These are the stress patterns most strongly associated with higher reported strain in the current slice—good candidates for targeted outreach or services.

How this is calculated

Factor scores are derived from each domain's contribution to the current overall impact level.

Issues that often appear together
Approximate overlap between high-frequency impact categories in this filtered sample.

Work + financial + legal pressure: Cannot accept job offer + Withdrew from savings or retirement + Immigration status more uncertain

Legal + employment uncertainty: Immigration status more uncertain + Cannot accept job offer

Financial + housing instability: Withdrew from savings or retirement + Had to move in with family or friends

What this means

When problems cluster, support programs can address several needs together instead of treating each issue in isolation.

How this is calculated

Overlap estimates are directional approximations based on the strongest impact shares and are not direct respondent-level co-occurrence counts.

Disparity lens: elevated representation
Groups appearing above the average share within each dimension.
GroupShareDifference from average
Age range: 25 - 3439.7%+26.7 pp
Birth region: Sub-Saharan Africa35.4%+20.0 pp
Education: Master's degree28.6%+17.3 pp
US tenure: 3 to 5 years25.9%+15.1 pp
Age range: 35 - 4422.8%+9.8 pp
US tenure: 6 to 10 years20.1%+9.3 pp
Industry: Technology or IT15.9%+8.9 pp
Industry: Healthcare15.3%+8.3 pp
Disparity lens: under-indexed
Groups appearing below the average share within each dimension.
GroupShareDifference from average
Birth region: Asia2.6%-12.8 pp
Age range: 65 - 741.6%-11.4 pp
Age range: 55 - 642.1%-10.8 pp
US tenure: 21 or more years1.6%-9.2 pp
US tenure: 16 to 20 years2.1%-8.7 pp
Age range: 45 - 544.8%-8.2 pp
Education: High school diploma or equivalent3.2%-8.1 pp
Birth region: Other/Unspecified7.4%-8.0 pp

What this means

Groups above the average may need proportionally more attention; groups below average are still affected but appear less frequently in this sample.

How this is calculated

Each row compares a group's share within its dimension to the average share for that dimension in the filtered sample.

Geo prioritization
Priority score combines respondent share and overall severity conditions.
StateSharePriorityTier
Florida12.2%72.7High
Texas11.6%71.7High
California6.9%62.7High
New York6.9%62.7High
Georgia3.2%55.6High
Colorado2.6%54.6Medium
Maryland2.6%54.6Medium
New Jersey2.6%54.6Medium
Virginia2.6%54.6Medium
Washington2.6%54.6Medium

What this means

States with higher priority scores combine larger respondent presence with tougher overall conditions—useful for sequencing outreach or legal support.

How this is calculated

Priority score combines each state's share of respondents with the current overall severity conditions in the filtered sample.

State footprint map
Click states to add/remove state filter and inspect targeted slices.

Persona snapshots

Data-driven archetypes to make the analytics easier to communicate.

What this means

Personas translate aggregate statistics into recognizable profiles so policymakers and advocates can discuss who is most affected.

How this is calculated

Personas are synthesized from dominant traits in the filtered sample (industry, tenure, stress, and impact patterns), not individual case files.

Early-Career Stabilizer
Respondents in 3 to 5 years show concentrated strain across employment and finances.
  • - Severity index at 79.3% overall
  • - Common bundle: Work + financial + legal pressure
  • - Top concentration in Florida
Sector-Specific Pressure Cluster
Technology or IT emerges as a high-pressure cluster with elevated legal and workforce disruption.
  • - Highest risk cohort proxy: 25 - 34
  • - Stress mean: 9.0 / 10
  • - Disruption spans employment + legal domains
Family and Education Strain Household
Households juggling family obligations and education interruptions face compounding instability.
  • - Family and education domains both rank in top burden contributors
  • - Coverage opportunity is high through targeted support bundles
  • - Most represented education profile: Master's degree
Geographic Priority Segment
A state-focused intervention strategy can reach high-volume respondents with concentrated burden.
  • - Top state footprint: Florida
  • - Geo priority score blends severity and respondent volume
  • - Useful for local program staffing and legal aid planning
Targeting simulator
Estimate potential reach if a program focuses on one cohort or impact bundle first.

People this could reach

0.0%

Choose a target to estimate reach

What this means

Compare coverage estimates to pick a first focus area that reaches the largest share of affected people in this filtered view.

How this is calculated

Coverage percentages are estimate-based and show potential reach for each selected focus option in the current filtered sample.

OptionTypeCoverageEstimated people
Age range: 25 - 34cohort39.7%75
Birth region: Sub-Saharan Africacohort35.4%67
Top employment impact: Cannot accept job offerimpact29.4%55
Education: Master's degreecohort28.6%54
US tenure: 3 to 5 yearscohort25.9%49
Worldwide experience: 6 to 10 yearscohort25.4%48
Work + financial + legal pressureimpact22.9%43
Legal + employment uncertaintyimpact22.9%43
US tenure: 6 to 10 yearscohort20.1%38
Financial + housing instabilityimpact16.0%30