Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bolivar County, MS
Series ID MHICILBMS28011A052NCEN
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 11758
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14328
1994-01-01 .
1995-01-01 16634
1996-01-01 .
1997-01-01 17856
1998-01-01 19705
1999-01-01 21716
2000-01-01 22335
2001-01-01 21719
2002-01-01 21216
2003-01-01 22326
2004-01-01 22719
2005-01-01 22842
2006-01-01 23154
2007-01-01 24146
2008-01-01 26420
2009-01-01 24639
2010-01-01 26672
2011-01-01 26096
2012-01-01 26300
2013-01-01 27325
2014-01-01 26767
2015-01-01 27306
2016-01-01 26914
2017-01-01 30902
2018-01-01 30441
2019-01-01 27290
2020-01-01 30964
2021-01-01 31326
2022-01-01 36579

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