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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Morrow County, OH
Series ID MHICILBOH39117A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 23844
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28227
1994-01-01 .
1995-01-01 30922
1996-01-01 .
1997-01-01 32917
1998-01-01 34832
1999-01-01 36562
2000-01-01 38283
2001-01-01 37867
2002-01-01 38532
2003-01-01 40238
2004-01-01 41698
2005-01-01 41369
2006-01-01 42894
2007-01-01 45190
2008-01-01 44382
2009-01-01 44353
2010-01-01 43909
2011-01-01 42743
2012-01-01 46705
2013-01-01 45808
2014-01-01 45110
2015-01-01 47758
2016-01-01 49048
2017-01-01 50630
2018-01-01 55014
2019-01-01 54200
2020-01-01 62262
2021-01-01 57619
2022-01-01 65453
2023-01-01 64946
2024-01-01 80016

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