Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Scott County, TN
Series ID MHICILBTN47151A052NCEN
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 2:05 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 13870
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15737
1994-01-01 .
1995-01-01 18208
1996-01-01 .
1997-01-01 18477
1998-01-01 19736
1999-01-01 22559
2000-01-01 23269
2001-01-01 22564
2002-01-01 22678
2003-01-01 23790
2004-01-01 25197
2005-01-01 24632
2006-01-01 25213
2007-01-01 27618
2008-01-01 25812
2009-01-01 25918
2010-01-01 27275
2011-01-01 28020
2012-01-01 27056
2013-01-01 25203
2014-01-01 28223
2015-01-01 30051
2016-01-01 30694
2017-01-01 31380
2018-01-01 32124
2019-01-01 34372
2020-01-01 33184
2021-01-01 36588
2022-01-01 39183
2023-01-01 41520

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