Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Harrison County, OH
Series ID MHICIUBOH39067A052NCEN
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 3:11 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 22354
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24579
1994-01-01 .
1995-01-01 27544
1996-01-01 .
1997-01-01 30341
1998-01-01 31913
1999-01-01 31680
2000-01-01 33586
2001-01-01 32837
2002-01-01 32997
2003-01-01 33544
2004-01-01 34814
2005-01-01 35734
2006-01-01 36102
2007-01-01 39484
2008-01-01 38817
2009-01-01 38329
2010-01-01 39274
2011-01-01 40497
2012-01-01 43218
2013-01-01 43470
2014-01-01 45693
2015-01-01 47366
2016-01-01 47793
2017-01-01 51645
2018-01-01 54484
2019-01-01 55461
2020-01-01 56294
2021-01-01 55936
2022-01-01 61614
2023-01-01 64203

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