Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Benton County, MS
Series ID MHICILBMS28009A052NCEN
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 14215
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15713
1994-01-01 .
1995-01-01 18016
1996-01-01 .
1997-01-01 20262
1998-01-01 21752
1999-01-01 22833
2000-01-01 22935
2001-01-01 22352
2002-01-01 22911
2003-01-01 23986
2004-01-01 24451
2005-01-01 23716
2006-01-01 25201
2007-01-01 27097
2008-01-01 25881
2009-01-01 27276
2010-01-01 24958
2011-01-01 25061
2012-01-01 26230
2013-01-01 27195
2014-01-01 27490
2015-01-01 29259
2016-01-01 33437
2017-01-01 32235
2018-01-01 31506
2019-01-01 33832
2020-01-01 33125
2021-01-01 36056
2022-01-01 37897
2023-01-01 43514

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