Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dyer County, TN
Series ID MHICIUBTN47045A052NCEN
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 3:11 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 25443
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29148
1994-01-01 .
1995-01-01 32204
1996-01-01 .
1997-01-01 34163
1998-01-01 35600
1999-01-01 34660
2000-01-01 36331
2001-01-01 35213
2002-01-01 35671
2003-01-01 36566
2004-01-01 37749
2005-01-01 39012
2006-01-01 39921
2007-01-01 41169
2008-01-01 42928
2009-01-01 39255
2010-01-01 39878
2011-01-01 41058
2012-01-01 41268
2013-01-01 43443
2014-01-01 47104
2015-01-01 47008
2016-01-01 43698
2017-01-01 48624
2018-01-01 48574
2019-01-01 53317
2020-01-01 56100
2021-01-01 56342
2022-01-01 58506
2023-01-01 62670

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