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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clermont County, OH
Series ID MHICILBOH39025A052NCEN
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 1:54 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 30122
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35051
1994-01-01 .
1995-01-01 37769
1996-01-01 .
1997-01-01 41654
1998-01-01 43702
1999-01-01 44697
2000-01-01 47240
2001-01-01 46777
2002-01-01 47499
2003-01-01 48870
2004-01-01 49804
2005-01-01 49282
2006-01-01 50815
2007-01-01 51481
2008-01-01 57806
2009-01-01 54994
2010-01-01 54011
2011-01-01 52242
2012-01-01 51252
2013-01-01 59684
2014-01-01 59815
2015-01-01 59076
2016-01-01 58760
2017-01-01 62768
2018-01-01 62363
2019-01-01 65030
2020-01-01 66578
2021-01-01 66984
2022-01-01 74105

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