Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hancock County, TN
Series ID MHICIUBTN47067A052NCEN
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 13946
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16953
1994-01-01 .
1995-01-01 20511
1996-01-01 .
1997-01-01 21858
1998-01-01 23837
1999-01-01 21954
2000-01-01 22571
2001-01-01 21560
2002-01-01 21030
2003-01-01 20772
2004-01-01 21628
2005-01-01 23012
2006-01-01 24961
2007-01-01 26850
2008-01-01 25866
2009-01-01 26370
2010-01-01 27263
2011-01-01 27872
2012-01-01 27644
2013-01-01 28561
2014-01-01 29961
2015-01-01 30794
2016-01-01 31267
2017-01-01 32961
2018-01-01 33998
2019-01-01 35754
2020-01-01 38368
2021-01-01 37937
2022-01-01 42340

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