Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grainger County, TN
Series ID MHICIUBTN47057A052NCEN
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 1:09 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 20687
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24086
1994-01-01 .
1995-01-01 28711
1996-01-01 .
1997-01-01 29973
1998-01-01 31557
1999-01-01 30055
2000-01-01 31316
2001-01-01 30181
2002-01-01 30969
2003-01-01 31671
2004-01-01 32805
2005-01-01 34966
2006-01-01 35508
2007-01-01 37140
2008-01-01 37829
2009-01-01 31388
2010-01-01 35676
2011-01-01 36881
2012-01-01 37900
2013-01-01 38492
2014-01-01 38418
2015-01-01 41865
2016-01-01 43520
2017-01-01 46731
2018-01-01 45974
2019-01-01 49204
2020-01-01 51158
2021-01-01 52515
2022-01-01 57499

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