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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lake County, OH
Series ID MHICILBOH39085A052NCEN
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 32152
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36867
1994-01-01 .
1995-01-01 37599
1996-01-01 .
1997-01-01 40211
1998-01-01 42970
1999-01-01 43794
2000-01-01 45614
2001-01-01 45160
2002-01-01 44842
2003-01-01 45557
2004-01-01 47226
2005-01-01 47618
2006-01-01 49839
2007-01-01 54023
2008-01-01 55662
2009-01-01 51999
2010-01-01 50436
2011-01-01 50726
2012-01-01 52811
2013-01-01 52416
2014-01-01 56068
2015-01-01 59015
2016-01-01 60017
2017-01-01 57259
2018-01-01 63731
2019-01-01 61297
2020-01-01 66613
2021-01-01 71894
2022-01-01 70916

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