Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Union County, MS
Series ID MHICILBMS28145A052NCEN
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 19096
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23372
1994-01-01 .
1995-01-01 24951
1996-01-01 .
1997-01-01 26772
1998-01-01 28357
1999-01-01 30360
2000-01-01 31164
2001-01-01 30406
2002-01-01 30714
2003-01-01 31880
2004-01-01 32716
2005-01-01 32498
2006-01-01 32821
2007-01-01 34424
2008-01-01 33948
2009-01-01 35138
2010-01-01 34080
2011-01-01 34102
2012-01-01 36804
2013-01-01 36404
2014-01-01 34111
2015-01-01 37927
2016-01-01 40791
2017-01-01 42739
2018-01-01 41725
2019-01-01 44563
2020-01-01 43637
2021-01-01 46327
2022-01-01 49645

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