Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sullivan County, TN
Series ID MHICIUBTN47163A052NCEN
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 28538
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30802
1994-01-01 .
1995-01-01 34449
1996-01-01 .
1997-01-01 36182
1998-01-01 37310
1999-01-01 35765
2000-01-01 37430
2001-01-01 36570
2002-01-01 37062
2003-01-01 37907
2004-01-01 38894
2005-01-01 37250
2006-01-01 38562
2007-01-01 42725
2008-01-01 42970
2009-01-01 39813
2010-01-01 38466
2011-01-01 41788
2012-01-01 40860
2013-01-01 42545
2014-01-01 40725
2015-01-01 44773
2016-01-01 45551
2017-01-01 48126
2018-01-01 49667
2019-01-01 54762
2020-01-01 54202
2021-01-01 53172
2022-01-01 57715
2023-01-01 60077

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