Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Loudon County, TN
Series ID MHICILBTN47105A052NCEN
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 2:32 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 22300
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26343
1994-01-01 .
1995-01-01 29851
1996-01-01 .
1997-01-01 31315
1998-01-01 33684
1999-01-01 36646
2000-01-01 38361
2001-01-01 37547
2002-01-01 38340
2003-01-01 40545
2004-01-01 42780
2005-01-01 41862
2006-01-01 43549
2007-01-01 44315
2008-01-01 45258
2009-01-01 47251
2010-01-01 43519
2011-01-01 45918
2012-01-01 45578
2013-01-01 49428
2014-01-01 49360
2015-01-01 48144
2016-01-01 53774
2017-01-01 53702
2018-01-01 53383
2019-01-01 58702
2020-01-01 62611
2021-01-01 64718
2022-01-01 71899
2023-01-01 75116

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