Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Overton County, TN
Series ID MHICIUBTN47133A052NCEN
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 2:31 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 20515
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23458
1994-01-01 .
1995-01-01 27355
1996-01-01 .
1997-01-01 28342
1998-01-01 29985
1999-01-01 29060
2000-01-01 30486
2001-01-01 29049
2002-01-01 29897
2003-01-01 31198
2004-01-01 32019
2005-01-01 32886
2006-01-01 34084
2007-01-01 34749
2008-01-01 35683
2009-01-01 35515
2010-01-01 35977
2011-01-01 35438
2012-01-01 35359
2013-01-01 38337
2014-01-01 38954
2015-01-01 39706
2016-01-01 38728
2017-01-01 39354
2018-01-01 46221
2019-01-01 48752
2020-01-01 49378
2021-01-01 51070
2022-01-01 57490
2023-01-01 57444

Subscribe to the FRED newsletter


Follow us

Back to Top