Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Scott County, TN
Series ID MHICIUBTN47151A052NCEN
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 18414
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20318
1994-01-01 .
1995-01-01 24445
1996-01-01 .
1997-01-01 24776
1998-01-01 25990
1999-01-01 25819
2000-01-01 27187
2001-01-01 25946
2002-01-01 26091
2003-01-01 27043
2004-01-01 28650
2005-01-01 29351
2006-01-01 29651
2007-01-01 33062
2008-01-01 31031
2009-01-01 31909
2010-01-01 32309
2011-01-01 31744
2012-01-01 32056
2013-01-01 30295
2014-01-01 34571
2015-01-01 36457
2016-01-01 37698
2017-01-01 38276
2018-01-01 39246
2019-01-01 43128
2020-01-01 44856
2021-01-01 44988
2022-01-01 50015

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