Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Harrison County, OH
Series ID MHICILBOH39067A052NCEN
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 1:54 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 17734
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20011
1994-01-01 .
1995-01-01 21327
1996-01-01 .
1997-01-01 24150
1998-01-01 25787
1999-01-01 27807
2000-01-01 28912
2001-01-01 28626
2002-01-01 28754
2003-01-01 29561
2004-01-01 30658
2005-01-01 30935
2006-01-01 30596
2007-01-01 33066
2008-01-01 32492
2009-01-01 31504
2010-01-01 32874
2011-01-01 33617
2012-01-01 36384
2013-01-01 37216
2014-01-01 39471
2015-01-01 41076
2016-01-01 40755
2017-01-01 44675
2018-01-01 46118
2019-01-01 44813
2020-01-01 41882
2021-01-01 45446
2022-01-01 48644

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