Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, OH
Series ID MHICIUBOH39097A052NCEN
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 30259
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35690
1994-01-01 .
1995-01-01 39801
1996-01-01 .
1997-01-01 42754
1998-01-01 44576
1999-01-01 44825
2000-01-01 47370
2001-01-01 46877
2002-01-01 47310
2003-01-01 47490
2004-01-01 49221
2005-01-01 52933
2006-01-01 51993
2007-01-01 56739
2008-01-01 56533
2009-01-01 54757
2010-01-01 52424
2011-01-01 58289
2012-01-01 57344
2013-01-01 57683
2014-01-01 56266
2015-01-01 67435
2016-01-01 63869
2017-01-01 73643
2018-01-01 66846
2019-01-01 70248
2020-01-01 80702
2021-01-01 78644
2022-01-01 84140

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