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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Adams County, MS
Series ID MHICILBMS28001A052NCEN
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 14285
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17270
1994-01-01 .
1995-01-01 19127
1996-01-01 .
1997-01-01 20329
1998-01-01 21715
1999-01-01 23347
2000-01-01 24059
2001-01-01 23442
2002-01-01 23393
2003-01-01 23789
2004-01-01 23546
2005-01-01 24978
2006-01-01 24722
2007-01-01 26524
2008-01-01 27503
2009-01-01 26390
2010-01-01 26126
2011-01-01 24473
2012-01-01 27222
2013-01-01 28614
2014-01-01 29209
2015-01-01 29745
2016-01-01 29895
2017-01-01 27784
2018-01-01 29699
2019-01-01 30662
2020-01-01 32920
2021-01-01 37533
2022-01-01 34712

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