Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carroll County, TN
Series ID MHICIUBTN47017A052NCEN
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 1:09 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 22963
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26346
1994-01-01 .
1995-01-01 31431
1996-01-01 .
1997-01-01 32754
1998-01-01 33895
1999-01-01 32154
2000-01-01 33814
2001-01-01 32589
2002-01-01 32978
2003-01-01 33843
2004-01-01 34338
2005-01-01 34065
2006-01-01 37334
2007-01-01 39004
2008-01-01 39012
2009-01-01 37675
2010-01-01 37458
2011-01-01 38043
2012-01-01 38462
2013-01-01 39169
2014-01-01 39972
2015-01-01 42162
2016-01-01 43852
2017-01-01 45246
2018-01-01 45537
2019-01-01 47345
2020-01-01 53018
2021-01-01 48675
2022-01-01 57217

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