Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Knox County, OH
Series ID MHICIUBOH39083A052NCEN
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 26882
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31364
1994-01-01 .
1995-01-01 35031
1996-01-01 .
1997-01-01 37096
1998-01-01 38706
1999-01-01 39726
2000-01-01 42307
2001-01-01 41420
2002-01-01 42109
2003-01-01 43470
2004-01-01 44890
2005-01-01 46200
2006-01-01 45255
2007-01-01 47359
2008-01-01 48641
2009-01-01 48162
2010-01-01 50244
2011-01-01 52733
2012-01-01 46683
2013-01-01 50579
2014-01-01 48904
2015-01-01 55177
2016-01-01 55684
2017-01-01 55712
2018-01-01 61768
2019-01-01 65785
2020-01-01 71180
2021-01-01 66407
2022-01-01 75792
2023-01-01 73308

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