Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Summit County, OH

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Summit County, OH
Series ID MHICIUBOH39153A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:09 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 30468
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34313
1994-01-01 .
1995-01-01 38794
1996-01-01 .
1997-01-01 41394
1998-01-01 42710
1999-01-01 43464
2000-01-01 45652
2001-01-01 44522
2002-01-01 44513
2003-01-01 45345
2004-01-01 46637
2005-01-01 45956
2006-01-01 46403
2007-01-01 49261
2008-01-01 51264
2009-01-01 48350
2010-01-01 47083
2011-01-01 47971
2012-01-01 50247
2013-01-01 51030
2014-01-01 51848
2015-01-01 52793
2016-01-01 53726
2017-01-01 57305
2018-01-01 61389
2019-01-01 60102
2020-01-01 63888
2021-01-01 64963
2022-01-01 68485

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