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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, OH
Series ID MHICILBOH39167A052NCEN
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 1:12 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 23047
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26092
1994-01-01 .
1995-01-01 28059
1996-01-01 .
1997-01-01 30353
1998-01-01 31635
1999-01-01 31913
2000-01-01 32876
2001-01-01 32556
2002-01-01 32869
2003-01-01 33110
2004-01-01 34085
2005-01-01 34606
2006-01-01 35270
2007-01-01 36346
2008-01-01 39344
2009-01-01 38464
2010-01-01 38524
2011-01-01 38823
2012-01-01 39066
2013-01-01 37770
2014-01-01 41445
2015-01-01 40992
2016-01-01 45368
2017-01-01 42541
2018-01-01 46732
2019-01-01 48265
2020-01-01 46532
2021-01-01 49679
2022-01-01 54415

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