Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hardeman County, TN
Series ID MHICILBTN47069A052NCEN
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 15840
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18813
1994-01-01 .
1995-01-01 21631
1996-01-01 .
1997-01-01 22329
1998-01-01 23130
1999-01-01 25754
2000-01-01 26703
2001-01-01 26263
2002-01-01 26435
2003-01-01 27849
2004-01-01 28857
2005-01-01 27939
2006-01-01 30167
2007-01-01 30621
2008-01-01 33234
2009-01-01 30710
2010-01-01 29085
2011-01-01 28473
2012-01-01 30030
2013-01-01 32239
2014-01-01 32027
2015-01-01 34765
2016-01-01 32803
2017-01-01 35162
2018-01-01 34547
2019-01-01 36297
2020-01-01 39729
2021-01-01 39820
2022-01-01 39399

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