Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clinton County, OH
Series ID MHICIUBOH39027A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 28074
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33278
1994-01-01 .
1995-01-01 37902
1996-01-01 .
1997-01-01 40637
1998-01-01 42205
1999-01-01 42552
2000-01-01 45126
2001-01-01 43791
2002-01-01 43573
2003-01-01 44382
2004-01-01 44553
2005-01-01 45666
2006-01-01 48126
2007-01-01 51902
2008-01-01 52958
2009-01-01 52421
2010-01-01 48087
2011-01-01 48202
2012-01-01 45125
2013-01-01 48843
2014-01-01 52471
2015-01-01 50207
2016-01-01 56784
2017-01-01 55690
2018-01-01 58721
2019-01-01 56207
2020-01-01 60646
2021-01-01 68614
2022-01-01 72789
2023-01-01 75268

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