Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calhoun County, MS
Series ID MHICILBMS28013A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 14684
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17665
1994-01-01 .
1995-01-01 20214
1996-01-01 .
1997-01-01 21730
1998-01-01 23401
1999-01-01 25319
2000-01-01 26223
2001-01-01 25333
2002-01-01 25199
2003-01-01 26233
2004-01-01 27248
2005-01-01 24111
2006-01-01 27761
2007-01-01 26223
2008-01-01 28671
2009-01-01 26785
2010-01-01 27516
2011-01-01 29510
2012-01-01 28487
2013-01-01 29506
2014-01-01 29834
2015-01-01 30685
2016-01-01 31449
2017-01-01 32544
2018-01-01 35805
2019-01-01 34651
2020-01-01 36046
2021-01-01 33587
2022-01-01 38767
2023-01-01 41488

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