Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, TN
Series ID MHICILBTN47091A052NCEN
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 12827
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16072
1994-01-01 .
1995-01-01 18197
1996-01-01 .
1997-01-01 18749
1998-01-01 20221
1999-01-01 22152
2000-01-01 22168
2001-01-01 21712
2002-01-01 21824
2003-01-01 22675
2004-01-01 23988
2005-01-01 23589
2006-01-01 25114
2007-01-01 27799
2008-01-01 26360
2009-01-01 24694
2010-01-01 26883
2011-01-01 27898
2012-01-01 27221
2013-01-01 27959
2014-01-01 28315
2015-01-01 30205
2016-01-01 30305
2017-01-01 32591
2018-01-01 32331
2019-01-01 36247
2020-01-01 37412
2021-01-01 37708
2022-01-01 40216

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