Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Covington County, MS
Series ID MHICILBMS28031A052NCEN
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 13549
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16450
1994-01-01 .
1995-01-01 19444
1996-01-01 .
1997-01-01 20651
1998-01-01 21984
1999-01-01 24073
2000-01-01 24969
2001-01-01 24564
2002-01-01 24607
2003-01-01 25941
2004-01-01 26493
2005-01-01 26381
2006-01-01 27484
2007-01-01 29872
2008-01-01 28590
2009-01-01 27989
2010-01-01 29765
2011-01-01 28432
2012-01-01 30150
2013-01-01 29877
2014-01-01 29049
2015-01-01 32888
2016-01-01 30075
2017-01-01 36047
2018-01-01 32043
2019-01-01 37358
2020-01-01 35656
2021-01-01 38624
2022-01-01 41126

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