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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for DeSoto County, MS
Series ID MHICILBMS28033A052NCEN
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 28482
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34063
1994-01-01 .
1995-01-01 38252
1996-01-01 .
1997-01-01 40387
1998-01-01 42405
1999-01-01 44022
2000-01-01 45988
2001-01-01 45816
2002-01-01 46672
2003-01-01 48757
2004-01-01 49827
2005-01-01 49029
2006-01-01 51775
2007-01-01 55880
2008-01-01 56767
2009-01-01 52940
2010-01-01 55456
2011-01-01 51822
2012-01-01 52317
2013-01-01 56506
2014-01-01 55541
2015-01-01 58014
2016-01-01 60186
2017-01-01 61396
2018-01-01 64690
2019-01-01 62775
2020-01-01 59916
2021-01-01 66679
2022-01-01 76271

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