Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, TN
Series ID MHICIUBTN47179A052NCEN
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 2:31 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 26170
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29883
1994-01-01 .
1995-01-01 34243
1996-01-01 .
1997-01-01 35634
1998-01-01 36904
1999-01-01 35062
2000-01-01 36657
2001-01-01 35392
2002-01-01 35696
2003-01-01 36826
2004-01-01 38682
2005-01-01 40961
2006-01-01 39584
2007-01-01 42683
2008-01-01 45139
2009-01-01 42520
2010-01-01 44420
2011-01-01 44651
2012-01-01 44417
2013-01-01 42950
2014-01-01 45676
2015-01-01 48430
2016-01-01 48734
2017-01-01 46385
2018-01-01 52853
2019-01-01 55995
2020-01-01 56510
2021-01-01 60220
2022-01-01 67310
2023-01-01 67487

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