Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Noxubee County, MS
Series ID MHICILBMS28103A052NCEN
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 10603
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 13202
1994-01-01 .
1995-01-01 15515
1996-01-01 .
1997-01-01 16378
1998-01-01 18025
1999-01-01 20413
2000-01-01 21161
2001-01-01 20450
2002-01-01 20253
2003-01-01 20774
2004-01-01 21487
2005-01-01 21729
2006-01-01 22315
2007-01-01 22019
2008-01-01 23237
2009-01-01 21639
2010-01-01 22390
2011-01-01 20060
2012-01-01 23729
2013-01-01 23782
2014-01-01 25870
2015-01-01 25141
2016-01-01 26345
2017-01-01 26775
2018-01-01 28902
2019-01-01 29043
2020-01-01 30693
2021-01-01 30190
2022-01-01 32099
2023-01-01 32576

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