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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Attala County, MS
Series ID MHICILBMS28007A052NCEN
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 1:12 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 12147
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14979
1994-01-01 .
1995-01-01 17500
1996-01-01 .
1997-01-01 18634
1998-01-01 20260
1999-01-01 22856
2000-01-01 23722
2001-01-01 23055
2002-01-01 24160
2003-01-01 24893
2004-01-01 24966
2005-01-01 26547
2006-01-01 25849
2007-01-01 26825
2008-01-01 26938
2009-01-01 26749
2010-01-01 27009
2011-01-01 27177
2012-01-01 31654
2013-01-01 28787
2014-01-01 29767
2015-01-01 30061
2016-01-01 29190
2017-01-01 31435
2018-01-01 32896
2019-01-01 32581
2020-01-01 34839
2021-01-01 35823
2022-01-01 39817

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