Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, MS
Series ID MHICILBMS28063A052NCEN
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 10287
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 9355
1994-01-01 .
1995-01-01 11877
1996-01-01 .
1997-01-01 13118
1998-01-01 14437
1999-01-01 17570
2000-01-01 17701
2001-01-01 17312
2002-01-01 17311
2003-01-01 18466
2004-01-01 19591
2005-01-01 19211
2006-01-01 20168
2007-01-01 21369
2008-01-01 21881
2009-01-01 20895
2010-01-01 22290
2011-01-01 21142
2012-01-01 22045
2013-01-01 23793
2014-01-01 23564
2015-01-01 23684
2016-01-01 23785
2017-01-01 24810
2018-01-01 24950
2019-01-01 27121
2020-01-01 27550
2021-01-01 29191
2022-01-01 29634

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