Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Morgan County, OH
Series ID MHICIUBOH39115A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 25088
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26879
1994-01-01 .
1995-01-01 29573
1996-01-01 .
1997-01-01 32575
1998-01-01 33993
1999-01-01 30909
2000-01-01 32618
2001-01-01 31886
2002-01-01 32872
2003-01-01 33884
2004-01-01 34221
2005-01-01 34677
2006-01-01 34375
2007-01-01 36086
2008-01-01 36927
2009-01-01 36471
2010-01-01 38651
2011-01-01 38100
2012-01-01 38903
2013-01-01 39409
2014-01-01 41626
2015-01-01 43705
2016-01-01 44001
2017-01-01 45498
2018-01-01 43569
2019-01-01 51833
2020-01-01 49321
2021-01-01 51256
2022-01-01 61868
2023-01-01 58491

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