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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, OH
Series ID MHICILBOH39079A052NCEN
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 1:53 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 18483
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20171
1994-01-01 .
1995-01-01 21946
1996-01-01 .
1997-01-01 24643
1998-01-01 27002
1999-01-01 28695
2000-01-01 29462
2001-01-01 28823
2002-01-01 29247
2003-01-01 30073
2004-01-01 31297
2005-01-01 31534
2006-01-01 31033
2007-01-01 33450
2008-01-01 33314
2009-01-01 31809
2010-01-01 33848
2011-01-01 36143
2012-01-01 33807
2013-01-01 34247
2014-01-01 37601
2015-01-01 40089
2016-01-01 42523
2017-01-01 41144
2018-01-01 40841
2019-01-01 45923
2020-01-01 44335
2021-01-01 43902
2022-01-01 49986

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