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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Marshall County, MS
Series ID MHICILBMS28093A052NCEN
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 1:54 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 14792
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18305
1994-01-01 .
1995-01-01 21248
1996-01-01 .
1997-01-01 23108
1998-01-01 24596
1999-01-01 26276
2000-01-01 27179
2001-01-01 26507
2002-01-01 26710
2003-01-01 27858
2004-01-01 29180
2005-01-01 28472
2006-01-01 31299
2007-01-01 29687
2008-01-01 31499
2009-01-01 30638
2010-01-01 33702
2011-01-01 30061
2012-01-01 30823
2013-01-01 33920
2014-01-01 34360
2015-01-01 34883
2016-01-01 33883
2017-01-01 34462
2018-01-01 36198
2019-01-01 38337
2020-01-01 40073
2021-01-01 36816
2022-01-01 47429

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