Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Claiborne County, TN
Series ID MHICIUBTN47025A052NCEN
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 1:09 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 18699
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21801
1994-01-01 .
1995-01-01 25856
1996-01-01 .
1997-01-01 26786
1998-01-01 28441
1999-01-01 27764
2000-01-01 28966
2001-01-01 27981
2002-01-01 28667
2003-01-01 29748
2004-01-01 30506
2005-01-01 32174
2006-01-01 32125
2007-01-01 31931
2008-01-01 34834
2009-01-01 33669
2010-01-01 31476
2011-01-01 37305
2012-01-01 35360
2013-01-01 35584
2014-01-01 36212
2015-01-01 38198
2016-01-01 36674
2017-01-01 40277
2018-01-01 41680
2019-01-01 44358
2020-01-01 49521
2021-01-01 47285
2022-01-01 44874

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