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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Choctaw County, MS
Series ID MHICILBMS28019A052NCEN
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 13477
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16956
1994-01-01 .
1995-01-01 18845
1996-01-01 .
1997-01-01 20296
1998-01-01 21528
1999-01-01 24221
2000-01-01 24949
2001-01-01 23927
2002-01-01 24217
2003-01-01 25023
2004-01-01 26249
2005-01-01 26955
2006-01-01 27626
2007-01-01 28967
2008-01-01 28508
2009-01-01 27784
2010-01-01 28846
2011-01-01 28188
2012-01-01 29655
2013-01-01 29683
2014-01-01 31115
2015-01-01 31883
2016-01-01 32356
2017-01-01 33563
2018-01-01 34209
2019-01-01 36256
2020-01-01 36742
2021-01-01 38329
2022-01-01 43792

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