Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, MS
Series ID MHICIUBMS28085A052NCEN
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 1:52 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 21290
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23307
1994-01-01 .
1995-01-01 27141
1996-01-01 .
1997-01-01 29040
1998-01-01 31210
1999-01-01 29419
2000-01-01 31151
2001-01-01 30342
2002-01-01 30949
2003-01-01 32351
2004-01-01 32681
2005-01-01 33925
2006-01-01 37091
2007-01-01 39936
2008-01-01 36857
2009-01-01 41448
2010-01-01 38693
2011-01-01 39273
2012-01-01 38812
2013-01-01 36807
2014-01-01 39057
2015-01-01 44646
2016-01-01 43690
2017-01-01 45016
2018-01-01 47717
2019-01-01 50289
2020-01-01 50803
2021-01-01 50259
2022-01-01 53853

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