Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Highland County, OH
Series ID MHICIUBOH39071A052NCEN
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 23559
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26964
1994-01-01 .
1995-01-01 30261
1996-01-01 .
1997-01-01 32805
1998-01-01 34515
1999-01-01 36020
2000-01-01 38394
2001-01-01 37257
2002-01-01 37642
2003-01-01 38905
2004-01-01 40045
2005-01-01 41193
2006-01-01 42287
2007-01-01 42722
2008-01-01 47335
2009-01-01 43613
2010-01-01 41568
2011-01-01 39335
2012-01-01 41284
2013-01-01 44103
2014-01-01 44558
2015-01-01 44993
2016-01-01 48877
2017-01-01 47033
2018-01-01 53792
2019-01-01 51797
2020-01-01 61392
2021-01-01 61368
2022-01-01 64486
2023-01-01 66015

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