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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lawrence County, OH
Series ID MHICILBOH39087A052NCEN
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 19144
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20711
1994-01-01 .
1995-01-01 21802
1996-01-01 .
1997-01-01 23032
1998-01-01 24306
1999-01-01 26427
2000-01-01 26934
2001-01-01 26499
2002-01-01 26908
2003-01-01 28330
2004-01-01 29240
2005-01-01 28766
2006-01-01 30434
2007-01-01 30241
2008-01-01 33485
2009-01-01 34570
2010-01-01 33351
2011-01-01 34659
2012-01-01 35759
2013-01-01 37724
2014-01-01 38628
2015-01-01 35905
2016-01-01 38470
2017-01-01 39829
2018-01-01 39581
2019-01-01 41950
2020-01-01 42240
2021-01-01 46191
2022-01-01 46638

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