Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McNairy County, TN
Series ID MHICIUBTN47109A052NCEN
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 21532
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24617
1994-01-01 .
1995-01-01 28185
1996-01-01 .
1997-01-01 29851
1998-01-01 31662
1999-01-01 31713
2000-01-01 33476
2001-01-01 32283
2002-01-01 31942
2003-01-01 33336
2004-01-01 34859
2005-01-01 34973
2006-01-01 36254
2007-01-01 38445
2008-01-01 36941
2009-01-01 37704
2010-01-01 35861
2011-01-01 36929
2012-01-01 35389
2013-01-01 36808
2014-01-01 38386
2015-01-01 40516
2016-01-01 41377
2017-01-01 43095
2018-01-01 43472
2019-01-01 50072
2020-01-01 50758
2021-01-01 49419
2022-01-01 55098

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