Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chickasaw County, MS
Series ID MHICIUBMS28017A052NCEN
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.
DATE VALUE
1989-01-01 20479
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23049
1994-01-01 .
1995-01-01 26228
1996-01-01 .
1997-01-01 28010
1998-01-01 29061
1999-01-01 28441
2000-01-01 29690
2001-01-01 28343
2002-01-01 28721
2003-01-01 29859
2004-01-01 30006
2005-01-01 31322
2006-01-01 32325
2007-01-01 33920
2008-01-01 33048
2009-01-01 32890
2010-01-01 34359
2011-01-01 33261
2012-01-01 33460
2013-01-01 34920
2014-01-01 34833
2015-01-01 34812
2016-01-01 38244
2017-01-01 40911
2018-01-01 41219
2019-01-01 41696
2020-01-01 46813
2021-01-01 45020
2022-01-01 48174

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