Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Stewart County, TN
Series ID MHICIUBTN47161A052NCEN
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 1:51 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 22586
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26864
1994-01-01 .
1995-01-01 30810
1996-01-01 .
1997-01-01 31505
1998-01-01 33664
1999-01-01 34012
2000-01-01 35720
2001-01-01 34866
2002-01-01 35667
2003-01-01 37062
2004-01-01 38230
2005-01-01 38746
2006-01-01 41489
2007-01-01 47837
2008-01-01 45430
2009-01-01 41815
2010-01-01 43978
2011-01-01 44415
2012-01-01 45695
2013-01-01 47528
2014-01-01 45769
2015-01-01 47890
2016-01-01 48721
2017-01-01 53326
2018-01-01 51285
2019-01-01 58170
2020-01-01 62312
2021-01-01 63199
2022-01-01 67536

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