Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, TN
Series ID MHICILBTN47103A052NCEN
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 1:12 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 20291
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23820
1994-01-01 .
1995-01-01 25067
1996-01-01 .
1997-01-01 27091
1998-01-01 29449
1999-01-01 30900
2000-01-01 32116
2001-01-01 31730
2002-01-01 32408
2003-01-01 33552
2004-01-01 34714
2005-01-01 36634
2006-01-01 36276
2007-01-01 38403
2008-01-01 36755
2009-01-01 37097
2010-01-01 38336
2011-01-01 36466
2012-01-01 38727
2013-01-01 38510
2014-01-01 39332
2015-01-01 40096
2016-01-01 40024
2017-01-01 44538
2018-01-01 47687
2019-01-01 49896
2020-01-01 50253
2021-01-01 49363
2022-01-01 56469

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