Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tunica County, MS
Series ID MHICIUBMS28143A052NCEN
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 1:11 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 12122
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15869
1994-01-01 .
1995-01-01 21795
1996-01-01 .
1997-01-01 24240
1998-01-01 27762
1999-01-01 25444
2000-01-01 26869
2001-01-01 26494
2002-01-01 26520
2003-01-01 28058
2004-01-01 28242
2005-01-01 28774
2006-01-01 29589
2007-01-01 32643
2008-01-01 33395
2009-01-01 32161
2010-01-01 32579
2011-01-01 32557
2012-01-01 32488
2013-01-01 32944
2014-01-01 33978
2015-01-01 34039
2016-01-01 33241
2017-01-01 34869
2018-01-01 36598
2019-01-01 38184
2020-01-01 42610
2021-01-01 41685
2022-01-01 41944

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