CFED Scorecard

Financial Assets & Income

Outcome Measures

Income Poverty Rate

Asset Poverty Rate

Asset Poverty by Race

Asset Poverty by Gender

Asset Poverty by Family Structure

Liquid Asset Poverty Rate

Liquid Asset Poverty by Race

Liquid Asset Poverty by Gender

Liquid Asset Poverty by Family Structure

Extreme Asset Poverty Rate

Net Worth

Net Worth by Race

Net Worth by Income

Net Worth by Gender

Net Worth by Family Structure

Unbanked Households

Underbanked Households

Households with Savings Accounts

Consumers with Subprime Credit

Borrowers 90+ Days Overdue

Average Credit Card Debt

Bankruptcy Rate

Policy Priorities

Tax Credits for Working Families

State IDA Program Support

Lifting Asset Limits in Public Benefit Programs

Protections from Predatory Short-Term Loans

Additional Policies

Income Tax Threshold

Tax Burden by Income

Prize-Linked Savings

Paperless Payday

Trend Indicators

Change in Net Worth

Change in Asset Poverty

Change in Liquid Asset Poverty

Change in Consumers with Subprime Credit

Change in Average Credit Card Debt

Businesses & Jobs

Housing & Homeownership

Health Care

Education

CFED Assets & Opportunity Scorecard

Change in Liquid Asset Poverty

Reports & Graphics

Definition

Percent change in liquid asset poverty rate, 2006-2010.

Description

Liquid asset poor households lack the savings to cover basic expenses for three months if unemployment, a medical emergency or other crisis leads to a loss of stable income. They do not have a basic personal safety net to prepare for emergencies or future needs, such as a child’s college education or homeownership. This indicator tracks the change, over time, of household liquid asset poverty.

Data are point estimates produced from a national survey with relatively small samples for some states, which can result in imprecise estimates and ranks. For more information on how we measured precision and to download margin of error data for each state, see here.

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Change in Liquid Asset Poverty

Liquid Asset Poverty Rate (%)
State200620092010
United States  41.4%  43.1%  43.9% 
Alabama  57.0%  64.5%  63.8% 
Alaska  —  38.8%  — 
Arizona  45.0%  44.4%  45.2% 
Arkansas  52.5%  50.8%  51.6% 
California  39.6%  43.1%  44.4% 
Colorado  34.7%  42.0%  45.8% 
Connecticut  38.2%  35.2%  36.6% 
Delaware  32.8%  33.8%  34.2% 
District of Columbia  33.1%  37.2%  31.7% 
Florida  45.3%  48.4%  51.9% 
Georgia  54.7%  57.4%  55.8% 
Hawaii  32.8%  22.8%  29.7% 
Idaho  41.9%  44.3%  44.2% 
Illinois  36.7%  39.8%  42.0% 
Indiana  41.8%  42.2%  42.2% 
Iowa  26.2%  29.0%  26.2% 
Kansas  37.6%  35.0%  34.6% 
Kentucky  45.2%  47.3%  48.1% 
Louisiana  51.3%  46.8%  47.4% 
Maine  36.1%  48.0%  46.4% 
Maryland  30.0%  32.3%  35.6% 
Massachusetts  32.7%  34.9%  37.3% 
Michigan  38.8%  39.8%  40.2% 
Minnesota  27.5%  26.6%  23.6% 
Mississippi  58.1%  56.5%  57.7% 
Missouri  39.2%  38.2%  43.5% 
Montana  43.3%  39.8% * 40.0% *
Nebraska  31.1%  26.0% * 28.5% *
Nevada  38.5%  52.2%  62.5% 
New Hampshire  22.7%  24.1%  31.0% 
New Jersey  32.6%  41.2%  44.6% 
New Mexico  63.4%  49.1%  53.7% 
New York  47.8%  46.4%  45.5% 
North Carolina  46.8%  46.3%  49.9% 
North Dakota  35.6%  35.1%  28.0% 
Ohio  39.5%  43.6%  43.2% 
Oklahoma  46.6%  48.2%  43.8% 
Oregon  40.9%  37.6%  34.8% 
Pennsylvania  36.5%  34.6%  37.4% 
Rhode Island  30.2%  33.5%  27.8% 
South Carolina  47.6%  47.6%  47.2% 
South Dakota  30.4%  43.4%  40.2% 
Tennessee  48.8%  53.5%  53.7% 
Texas  47.9%  50.6%  49.5% 
Utah  41.9%  35.0%  33.1% 
Vermont  —  20.8%  25.1% *
Virginia  32.3%  35.9%  35.0% 
Washington  32.1%  30.7%  32.9% 
West Virginia  54.5%  55.6%  47.4% 
Wisconsin  31.9%  33.2%  33.2% 
Wyoming  48.5%  46.4%  39.2% 

Survey of Income and Program Participation. Washington, DC: U.S. Department of Commerce, Census Bureau, 2006, 2009, 2010. Data calculated by the Bay Area Council Economic Institute.

"—" indicates that no data is available, or data is suppressed due to a margin of error that is greater than 50% of the estimate.

Footnotes

* Indicates that the margin of error is greater than 25% of the estimate, and as such, caution should be used when using this data.

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