Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lewis County, TN
Series ID MHICIUBTN47101A052NCEN
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 3:11 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 20707
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23227
1994-01-01 .
1995-01-01 28972
1996-01-01 .
1997-01-01 28484
1998-01-01 29456
1999-01-01 31107
2000-01-01 32994
2001-01-01 31882
2002-01-01 32360
2003-01-01 33080
2004-01-01 34054
2005-01-01 35115
2006-01-01 36922
2007-01-01 37374
2008-01-01 37657
2009-01-01 36708
2010-01-01 36522
2011-01-01 35109
2012-01-01 37208
2013-01-01 38502
2014-01-01 39108
2015-01-01 41525
2016-01-01 42131
2017-01-01 41892
2018-01-01 44523
2019-01-01 51135
2020-01-01 55554
2021-01-01 56572
2022-01-01 59802
2023-01-01 62197

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