Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grundy County, TN
Series ID MHICILBTN47061A052NCEN
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 2:32 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 14148
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16707
1994-01-01 .
1995-01-01 18909
1996-01-01 .
1997-01-01 19284
1998-01-01 20469
1999-01-01 22111
2000-01-01 22678
2001-01-01 22162
2002-01-01 22768
2003-01-01 24465
2004-01-01 25329
2005-01-01 23743
2006-01-01 24853
2007-01-01 24573
2008-01-01 23243
2009-01-01 24597
2010-01-01 25132
2011-01-01 24780
2012-01-01 25657
2013-01-01 23871
2014-01-01 25792
2015-01-01 30914
2016-01-01 29036
2017-01-01 30801
2018-01-01 32652
2019-01-01 34137
2020-01-01 37339
2021-01-01 37395
2022-01-01 38970
2023-01-01 36155

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