Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hickman County, TN
Series ID MHICIUBTN47081A052NCEN
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 23950
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27056
1994-01-01 .
1995-01-01 31846
1996-01-01 .
1997-01-01 33173
1998-01-01 35025
1999-01-01 33179
2000-01-01 34521
2001-01-01 33224
2002-01-01 33379
2003-01-01 33925
2004-01-01 34967
2005-01-01 34595
2006-01-01 36824
2007-01-01 42995
2008-01-01 42769
2009-01-01 41600
2010-01-01 38850
2011-01-01 38529
2012-01-01 39532
2013-01-01 36427
2014-01-01 40816
2015-01-01 43675
2016-01-01 44594
2017-01-01 46596
2018-01-01 49439
2019-01-01 50584
2020-01-01 59233
2021-01-01 53744
2022-01-01 63324

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