Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Maury County, TN
Series ID MHICIUBTN47119A052NCEN
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 1:51 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 26153
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32585
1994-01-01 .
1995-01-01 40103
1996-01-01 .
1997-01-01 39979
1998-01-01 41594
1999-01-01 42740
2000-01-01 44707
2001-01-01 43653
2002-01-01 44203
2003-01-01 46506
2004-01-01 45884
2005-01-01 45822
2006-01-01 49247
2007-01-01 49377
2008-01-01 49260
2009-01-01 45785
2010-01-01 48090
2011-01-01 45434
2012-01-01 45869
2013-01-01 49554
2014-01-01 55270
2015-01-01 53124
2016-01-01 53762
2017-01-01 60963
2018-01-01 62680
2019-01-01 68768
2020-01-01 73041
2021-01-01 74944
2022-01-01 75919

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