Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Forrest County, MS
Series ID MHICILBMS28035A052NCEN
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 1:54 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 16395
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19377
1994-01-01 .
1995-01-01 22406
1996-01-01 .
1997-01-01 24716
1998-01-01 27042
1999-01-01 26203
2000-01-01 27788
2001-01-01 26743
2002-01-01 26652
2003-01-01 27619
2004-01-01 26879
2005-01-01 27580
2006-01-01 28598
2007-01-01 29847
2008-01-01 30687
2009-01-01 31161
2010-01-01 29725
2011-01-01 30063
2012-01-01 29882
2013-01-01 31788
2014-01-01 34296
2015-01-01 32205
2016-01-01 33285
2017-01-01 35993
2018-01-01 36695
2019-01-01 36753
2020-01-01 37975
2021-01-01 41902
2022-01-01 47851

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