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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Moore County, TN
Series ID MHICILBTN47127A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 25270
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30126
1994-01-01 .
1995-01-01 32647
1996-01-01 .
1997-01-01 33887
1998-01-01 34704
1999-01-01 33627
2000-01-01 34514
2001-01-01 34977
2002-01-01 35945
2003-01-01 37962
2004-01-01 40081
2005-01-01 39042
2006-01-01 40621
2007-01-01 42360
2008-01-01 42089
2009-01-01 41617
2010-01-01 40912
2011-01-01 43451
2012-01-01 42531
2013-01-01 46006
2014-01-01 45087
2015-01-01 47555
2016-01-01 49315
2017-01-01 49542
2018-01-01 52113
2019-01-01 55684
2020-01-01 55729
2021-01-01 55027
2022-01-01 59784
2023-01-01 58490
2024-01-01 67395

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