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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lawrence County, OH
Series ID MHICIUBOH39087A052NCEN
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 1:51 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 23625
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25204
1994-01-01 .
1995-01-01 27817
1996-01-01 .
1997-01-01 29100
1998-01-01 30335
1999-01-01 30074
2000-01-01 31212
2001-01-01 30352
2002-01-01 30838
2003-01-01 32103
2004-01-01 33145
2005-01-01 33621
2006-01-01 35411
2007-01-01 35406
2008-01-01 39093
2009-01-01 38833
2010-01-01 39751
2011-01-01 40673
2012-01-01 41821
2013-01-01 44550
2014-01-01 44588
2015-01-01 43491
2016-01-01 45794
2017-01-01 46387
2018-01-01 46481
2019-01-01 50916
2020-01-01 52358
2021-01-01 53641
2022-01-01 55486

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