Median Household Income (dollars)
Ohio - Summit

Measurement Period: 2011

County

$46,595

State

National

$53,657

HP 2020

  • $31,987.00
  • $59,483.00
  • $86,980.00
Small area estimates of median household Income

Numerator

Estimated medican household income

2011 - Dimensions

  • Total

    $46,595
    $45,219
    $47,971
    0
    Comparison of 89 Counties
    $46,595
      Low: 31987             High: 86980

Historical Data

  • Dimension20112010200920082007
    Total$46,595
    $45,219 / $47,971
    $45,768
    $44,453 / $47,083
    $47,042
    $45,733 / $48,350
    $49,528
    $47,791 / $51,264
    $47,575
    $45,890 / $49,261
  • DSU - Data statistically unreliable.

Methodology

  • The U.S. Census Bureau, with support from other Federal agencies, created the Small Area Income and Poverty Estimates (SAIPE) program to provide more current estimates of selected income and poverty statistics than those from the most recent decennial census. Estimates are created for school districts, counties, and states. These estimates combine data from administrative records, intercensal population estimates, and the decennial census with direct estimates from the American Community Survey to provide consistent and reliable single-year estimates.
  • Confidence intervals provided for this indicator are 90% intervals.

  • For the 2009 estimates the dependent variable is the direct state estimate of median household income from the 2009 ACS. The 2009 regression model for state median household income employs an intercept term and the following predictor variables calculated for each state: the 2008 state median adjusted gross income (AGI) derived from IRS tax returns, and residuals from a regression of the Census 2000 state median household income (for income year 1999) on the intercept term and the 1999 IRS median income. The analogous model is used for the 2006-2008 state median household income estimates, with the variables shifted back appropriately in time.
  • The model for median household income is multiplicative. A consequence of the multiplicative form and the model performing well relative to the direct ACS estimates of median household income is that the standard errors of the estimates are proportional to the point estimates. In other words, the unobserved errors associated with high-income counties are larger than the unobserved errors in counties with high proportions of people in poverty. To estimate the model, we take logarithms of the dependent and all independent variables; i.e., the model is linear in logarithms. However, SAPIE reports median household income in the linear scale and, as a result, the confidence intervals are asymmetric. The predictor variables are: the log of the Census 2000 estimate of county median household income; the log of the median adjusted gross income from tax returns; the log of the proportion of the Bureau of Economic Analysis (BEA) estimate of total personal income derived from government transfers; the log of the growth of BEA total personal income from 1999 through the target year; and the log of the "nonfiler" rate. SAIPE defines the nonfiler rate as the ratio of estimated total population minus total exemptions claimed on IRS tax returns to estimated total population.

Data Source(s)

  • Small Area Income and Poverty Estimates (SAIPE)

    Description The U.S. Census Bureau, with support from other Federal agencies, created the Small Area Income and Poverty Estimates (SAIPE) program to provide more current estimates of selected income and poverty statistics than those from the most recent decennial census.

    MethodologyEstimates are created for school districts, counties, and states.


 
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