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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lee County, MS
Series ID MHICILBMS28081A052NCEN
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 21436
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25865
1994-01-01 .
1995-01-01 28487
1996-01-01 .
1997-01-01 30203
1998-01-01 31703
1999-01-01 33140
2000-01-01 34327
2001-01-01 33658
2002-01-01 33947
2003-01-01 34848
2004-01-01 35009
2005-01-01 34306
2006-01-01 33944
2007-01-01 39591
2008-01-01 37289
2009-01-01 35743
2010-01-01 37662
2011-01-01 37915
2012-01-01 39226
2013-01-01 39885
2014-01-01 40784
2015-01-01 39208
2016-01-01 40704
2017-01-01 47706
2018-01-01 46925
2019-01-01 46248
2020-01-01 53758
2021-01-01 53126
2022-01-01 52972

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