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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chester County, TN
Series ID MHICIUBTN47023A052NCEN
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 22445
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25933
1994-01-01 .
1995-01-01 30788
1996-01-01 .
1997-01-01 32418
1998-01-01 34571
1999-01-01 35259
2000-01-01 37490
2001-01-01 36381
2002-01-01 36740
2003-01-01 37291
2004-01-01 38266
2005-01-01 39950
2006-01-01 42333
2007-01-01 40366
2008-01-01 42332
2009-01-01 43823
2010-01-01 42536
2011-01-01 42661
2012-01-01 43923
2013-01-01 44646
2014-01-01 45237
2015-01-01 47794
2016-01-01 48738
2017-01-01 49922
2018-01-01 52511
2019-01-01 56215
2020-01-01 46628
2021-01-01 57859
2022-01-01 64433

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