Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Quitman County, MS
Series ID MHICILBMS28119A052NCEN
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 9403
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 12209
1994-01-01 .
1995-01-01 13559
1996-01-01 .
1997-01-01 14970
1998-01-01 15680
1999-01-01 18914
2000-01-01 19515
2001-01-01 19117
2002-01-01 18453
2003-01-01 19858
2004-01-01 20760
2005-01-01 20597
2006-01-01 22333
2007-01-01 22268
2008-01-01 22935
2009-01-01 21012
2010-01-01 23260
2011-01-01 22264
2012-01-01 21852
2013-01-01 23644
2014-01-01 23587
2015-01-01 23916
2016-01-01 23425
2017-01-01 23794
2018-01-01 24714
2019-01-01 25735
2020-01-01 26193
2021-01-01 28213
2022-01-01 37250

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