Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lamar County, MS
Series ID MHICILBMS28073A052NCEN
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 22064
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26638
1994-01-01 .
1995-01-01 28332
1996-01-01 .
1997-01-01 29388
1998-01-01 30434
1999-01-01 34341
2000-01-01 35084
2001-01-01 34907
2002-01-01 35492
2003-01-01 37169
2004-01-01 38602
2005-01-01 39136
2006-01-01 41960
2007-01-01 43453
2008-01-01 44373
2009-01-01 46035
2010-01-01 45343
2011-01-01 44545
2012-01-01 43889
2013-01-01 47229
2014-01-01 47320
2015-01-01 48700
2016-01-01 52960
2017-01-01 51523
2018-01-01 53634
2019-01-01 56898
2020-01-01 55433
2021-01-01 59112
2022-01-01 57631

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