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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Weakley County, TN
Series ID MHICILBTN47183A052NCEN
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 1:53 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 19537
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23881
1994-01-01 .
1995-01-01 25434
1996-01-01 .
1997-01-01 27310
1998-01-01 28573
1999-01-01 28237
2000-01-01 28932
2001-01-01 28414
2002-01-01 28433
2003-01-01 29242
2004-01-01 29819
2005-01-01 29947
2006-01-01 31107
2007-01-01 31830
2008-01-01 31614
2009-01-01 31380
2010-01-01 31802
2011-01-01 31833
2012-01-01 34450
2013-01-01 31956
2014-01-01 33118
2015-01-01 34849
2016-01-01 34830
2017-01-01 35535
2018-01-01 38036
2019-01-01 39527
2020-01-01 40635
2021-01-01 40705
2022-01-01 45519

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