Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mississippi

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mississippi
Series ID MHICIUBMS28000A052NCEN
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 2024-01-01
Last Updated 2026-02-09 11:51 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 21017
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24173
1994-01-01 .
1995-01-01 27986
1996-01-01 28607
1997-01-01 30127
1998-01-01 30598
1999-01-01 32254
2000-01-01 34518
2001-01-01 32392
2002-01-01 33163
2003-01-01 33933
2004-01-01 35896
2005-01-01 33673
2006-01-01 35197
2007-01-01 37073
2008-01-01 38477
2009-01-01 37423
2010-01-01 37594
2011-01-01 37527
2012-01-01 37746
2013-01-01 39153
2014-01-01 40478
2015-01-01 41165
2016-01-01 42339
2017-01-01 44417
2018-01-01 45508
2019-01-01 47063
2020-01-01 48519
2021-01-01 50079
2022-01-01 53666
2023-01-01 55605
2024-01-01 60787

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