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Research Center • ALICE ECONOMIC VIABILITY DASHBOARD

Measuring Economic Well-Being for ALICE

The ALICE Economic Viability Dashboard reveals the economic and community conditions of people who are struggling financially — those below the ALICE Threshold. This includes people in households with income below the Federal Poverty Level (FPL) and those who are ALICE (Asset Limited, Income Constrained, Employed), with income above the FPL but below the cost of basics.

By studying ALICE households as well as those in poverty, United For ALICE research shows the true extent of financial hardship across the country. The ALICE Economic Viability Dashboard builds on this research, exploring why so many households are struggling, with new data on ALICE work, housing, and community resources.

Hover/click on the elements below to learn more:

Work

Housing

Community

Gaps

What can users do with this dashboard?

Explore data on work, housing, and community resources for households below the ALICE Threshold by location and race/ethnicity
Compare any two locations on key ALICE work, housing, and community conditions
Create action plans to remove barriers, fill gaps, and make structural changes needed to improve conditions for workers and households in your state or local community

What is unique about this dashboard?

It focuses specifically on workers and households that are unable to afford the basics based on income and local cost of living
It combines economic and equity perspectives
It offers actionable data and best practices to address gaps across states and local communities

Who is this dashboard for?

Community planners, engineers, builders, real estate developers, zoning experts, and housing advocates
Local, state, and federal policymakers
Chambers of commerce and economic development agencies
United Ways and other key community nonprofit organizations
Advocates working for equity in education, food, transportation, health care, and technology

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ALICE Economic Viability Dashboard Action Planner

Now that you’ve learned more about ALICE in your community, it’s time to act! Use the tool below to better understand the needs of ALICE households in your selected community in order to set goals and plan for action.

Use the buttons and drop-down menus below to select a domain (Work, Housing, Community) and a geography (state, or one or more PUMAs). For counties with multiple PUMAs, select all related PUMAs to see county-level data.

What is a PUMA?

PUMAs are Census statistical geographies containing no fewer than 100,000 people that allow for meaningful analysis and comparison. In areas where the population is less dense (more rural), PUMAs tend to cover one or more counties. In more densely populated areas (more urban), counties and cities are generally split into multiple PUMAs.

WORK

HOUSING

COMMUNITY

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See what United for ALICE partners are doing to make a difference for ALICE in their communities in our ALICE in Action Database

Technical Details

ALICE Economic Viability Dashboard Variables: To see a list of all variables and their sources and definitions, click on the “Framework & Variables” tab.
Below ALICE Threshold: Below ALICE Threshold variables are based on the U.S. Census Bureau Public Use Microdata Sample, which includes individual-level data. Individuals are mapped to households in the dataset, and this household-level data is used to determine ALICE Threshold status. If combined household income (for all members of the household) is less than the ALICE Threshold for their household size, composition, and location, that household and all members are below the ALICE Threshold. People and households below the ALICE Threshold include those that are below the Federal Poverty Level and those that are ALICE. Some variables in the dashboard are individual-level (including all work variables), and some are household-level (including all housing variables). Variable labels and descriptions include level of analysis, for ease of reference.
Rounding: Percentages are rounded to whole numbers for ease of reading, which may result in percentages totaling 99% or 101%.
Missing data: Any group with fewer than 100 individuals or households (depending on the variable) is suppressed (not shown) to maintain accuracy and confidentiality. For missing wages in the Work domain, there was insufficient source data to calculate a full-time wage.
Race/ethnicity: All racial categories except Two or More Races are for one race alone, non-Hispanic. The Hispanic group may include individuals/households of any race.
Index scores: Variables in the dashboard are composed of different kinds of measures. The first step is therefore to create a common scale across rates, percentages, and other scores by measuring from the average. Raw indicator scores are converted to “z-scores”, which measure how far any value falls from the mean of the set, measured in standard deviations. The formula for normalizing indicator scores is: z = (x – μ) / σ where x is the indicator’s value, μ is the national median, σ is the standard deviation for that indicator, and z is the resulting z-score. Scores are translated to a scale of 0 to 100, with 50 in the middle. Index scores have been created for the top Work variable (Full-Time Workers Earning Enough for Household Survival Budget (1 Adult, 1 School-age Child), the top Housing variable (the percentage of renter households below the ALICE Threshold paying less than 30% of income on rent), and all variables included in the Community composite score (see below).
Community composite score: An average of the index scores created for each variable in this section, including the percentage of children age 3–4 in households below the ALICE Threshold who are enrolled in school; the percentage of households below the ALICE Threshold with high-speed internet access at home; the percentage of workers below the ALICE Threshold commuting 30 minutes or less to work; the percentage of adults below the ALICE Threshold (age 16–64) with health insurance; and the rate of grocery stores per 100,000 households below the ALICE Threshold.
Geographic crosswalk: Some variables are only available at the county level. For these datasets, county totals are crosswalked and weighted into corresponding PUMAs using 2020 U.S. Census Bureau relationship files and number of households, first by crosswalking county totals to census tracts, then census tracts to PUMAs, with weighting based on the distribution of total households across each county.