Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Knox County, TN
Series ID MHICIUBTN47093A052NCEN
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 1:51 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 29387
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32967
1994-01-01 .
1995-01-01 36706
1996-01-01 .
1997-01-01 38303
1998-01-01 40725
1999-01-01 39796
2000-01-01 41986
2001-01-01 41301
2002-01-01 42354
2003-01-01 43252
2004-01-01 44176
2005-01-01 43762
2006-01-01 45700
2007-01-01 46741
2008-01-01 47589
2009-01-01 46780
2010-01-01 45967
2011-01-01 47652
2012-01-01 48016
2013-01-01 50883
2014-01-01 49122
2015-01-01 53744
2016-01-01 53976
2017-01-01 57004
2018-01-01 58100
2019-01-01 62651
2020-01-01 60266
2021-01-01 67064
2022-01-01 72481

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