Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, TN
Series ID MHICIUBTN47103A052NCEN
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 24809
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28325
1994-01-01 .
1995-01-01 31210
1996-01-01 .
1997-01-01 33249
1998-01-01 35543
1999-01-01 35147
2000-01-01 37275
2001-01-01 36348
2002-01-01 37162
2003-01-01 38022
2004-01-01 39353
2005-01-01 40499
2006-01-01 43157
2007-01-01 44669
2008-01-01 44192
2009-01-01 43118
2010-01-01 43708
2011-01-01 42026
2012-01-01 45629
2013-01-01 44396
2014-01-01 44272
2015-01-01 47292
2016-01-01 46904
2017-01-01 54052
2018-01-01 54811
2019-01-01 59220
2020-01-01 63069
2021-01-01 54673
2022-01-01 66713

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