Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Knox County, OH
Series ID MHICILBOH39083A052NCEN
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 2:32 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 22539
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26935
1994-01-01 .
1995-01-01 28898
1996-01-01 .
1997-01-01 30941
1998-01-01 32634
1999-01-01 34896
2000-01-01 36444
2001-01-01 36147
2002-01-01 36729
2003-01-01 38348
2004-01-01 39590
2005-01-01 41213
2006-01-01 40250
2007-01-01 41403
2008-01-01 42848
2009-01-01 42587
2010-01-01 43630
2011-01-01 49125
2012-01-01 41583
2013-01-01 43527
2014-01-01 44912
2015-01-01 46651
2016-01-01 51066
2017-01-01 48410
2018-01-01 52002
2019-01-01 54129
2020-01-01 64920
2021-01-01 56877
2022-01-01 60876
2023-01-01 60380

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