Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carroll County, TN
Series ID MHICILBTN47017A052NCEN
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 3:13 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 18441
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21792
1994-01-01 .
1995-01-01 25260
1996-01-01 .
1997-01-01 26458
1998-01-01 27708
1999-01-01 28163
2000-01-01 29086
2001-01-01 28387
2002-01-01 28715
2003-01-01 29828
2004-01-01 30282
2005-01-01 30094
2006-01-01 32314
2007-01-01 34768
2008-01-01 33170
2009-01-01 31818
2010-01-01 31674
2011-01-01 31915
2012-01-01 32720
2013-01-01 32689
2014-01-01 33282
2015-01-01 34662
2016-01-01 36932
2017-01-01 37738
2018-01-01 38513
2019-01-01 39171
2020-01-01 41762
2021-01-01 43319
2022-01-01 48143
2023-01-01 45252

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