Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hickman County, TN
Series ID MHICILBTN47081A052NCEN
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 1:53 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 19568
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22572
1994-01-01 .
1995-01-01 25671
1996-01-01 .
1997-01-01 27005
1998-01-01 28918
1999-01-01 29063
2000-01-01 29721
2001-01-01 28967
2002-01-01 29085
2003-01-01 29909
2004-01-01 30811
2005-01-01 29336
2006-01-01 32511
2007-01-01 36854
2008-01-01 37058
2009-01-01 35432
2010-01-01 33046
2011-01-01 31659
2012-01-01 33180
2013-01-01 31205
2014-01-01 34070
2015-01-01 35689
2016-01-01 38218
2017-01-01 39052
2018-01-01 39929
2019-01-01 41768
2020-01-01 48243
2021-01-01 46946
2022-01-01 50510

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