Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chickasaw County, MS
Series ID MHICILBMS28017A052NCEN
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 1:12 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 15952
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18518
1994-01-01 .
1995-01-01 20074
1996-01-01 .
1997-01-01 21825
1998-01-01 22937
1999-01-01 24921
2000-01-01 25526
2001-01-01 24680
2002-01-01 24993
2003-01-01 26313
2004-01-01 26479
2005-01-01 26410
2006-01-01 27059
2007-01-01 27778
2008-01-01 27325
2009-01-01 27093
2010-01-01 29045
2011-01-01 27787
2012-01-01 29742
2013-01-01 30130
2014-01-01 28399
2015-01-01 29062
2016-01-01 30978
2017-01-01 33551
2018-01-01 33639
2019-01-01 33370
2020-01-01 34129
2021-01-01 36504
2022-01-01 39378

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