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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, TN
Series ID MHICIUBTN47087A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:02 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 19536
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23154
1994-01-01 .
1995-01-01 27425
1996-01-01 .
1997-01-01 29352
1998-01-01 30333
1999-01-01 27669
2000-01-01 29340
2001-01-01 28267
2002-01-01 28542
2003-01-01 30156
2004-01-01 31211
2005-01-01 32662
2006-01-01 33053
2007-01-01 33212
2008-01-01 33942
2009-01-01 34380
2010-01-01 33976
2011-01-01 34959
2012-01-01 35077
2013-01-01 36441
2014-01-01 38406
2015-01-01 38229
2016-01-01 37250
2017-01-01 40407
2018-01-01 41629
2019-01-01 45524
2020-01-01 49225
2021-01-01 48523
2022-01-01 47230
2023-01-01 54455
2024-01-01 60660

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