Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Johnson County, TN
Series ID MHICIUBTN47091A052NCEN
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 17439
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20680
1994-01-01 .
1995-01-01 24681
1996-01-01 .
1997-01-01 25098
1998-01-01 26610
1999-01-01 25596
2000-01-01 25910
2001-01-01 25070
2002-01-01 25197
2003-01-01 25881
2004-01-01 27380
2005-01-01 27993
2006-01-01 29917
2007-01-01 33094
2008-01-01 31476
2009-01-01 29931
2010-01-01 31555
2011-01-01 33896
2012-01-01 32819
2013-01-01 33345
2014-01-01 34345
2015-01-01 36599
2016-01-01 36973
2017-01-01 40071
2018-01-01 39225
2019-01-01 44191
2020-01-01 48666
2021-01-01 46752
2022-01-01 50774

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