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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lamar County, MS
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 1:52 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.
1989-01-01 26356
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30930
1994-01-01 .
1995-01-01 34146
1996-01-01 .
1997-01-01 35322
1998-01-01 36293
1999-01-01 38998
2000-01-01 40531
2001-01-01 39875
2002-01-01 40574
2003-01-01 42019
2004-01-01 43666
2005-01-01 46328
2006-01-01 48274
2007-01-01 50815
2008-01-01 53279
2009-01-01 52780
2010-01-01 54141
2011-01-01 53955
2012-01-01 52225
2013-01-01 55445
2014-01-01 55458
2015-01-01 57710
2016-01-01 61878
2017-01-01 62727
2018-01-01 63120
2019-01-01 68314
2020-01-01 69621
2021-01-01 71410
2022-01-01 67021

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