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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, MS
Series ID MHICILBMS28085A052NCEN
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 16776
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18784
1994-01-01 .
1995-01-01 20988
1996-01-01 .
1997-01-01 22786
1998-01-01 24973
1999-01-01 25798
2000-01-01 26769
2001-01-01 26388
2002-01-01 26921
2003-01-01 28477
2004-01-01 28778
2005-01-01 28957
2006-01-01 32063
2007-01-01 33516
2008-01-01 31243
2009-01-01 34940
2010-01-01 32353
2011-01-01 32951
2012-01-01 32494
2013-01-01 30457
2014-01-01 33179
2015-01-01 36608
2016-01-01 35712
2017-01-01 36780
2018-01-01 39239
2019-01-01 39835
2020-01-01 38587
2021-01-01 40959
2022-01-01 43339

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