Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rhea County, TN
Series ID MHICIUBTN47143A052NCEN
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 22769
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26348
1994-01-01 .
1995-01-01 29830
1996-01-01 .
1997-01-01 30619
1998-01-01 32205
1999-01-01 32426
2000-01-01 34046
2001-01-01 32699
2002-01-01 33635
2003-01-01 34695
2004-01-01 36037
2005-01-01 36052
2006-01-01 36941
2007-01-01 40453
2008-01-01 40851
2009-01-01 36699
2010-01-01 39270
2011-01-01 38371
2012-01-01 43345
2013-01-01 42320
2014-01-01 41492
2015-01-01 43814
2016-01-01 46496
2017-01-01 47865
2018-01-01 48620
2019-01-01 52893
2020-01-01 49373
2021-01-01 54862
2022-01-01 64477

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