Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Simpson County, MS
Series ID MHICILBMS28127A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 16530
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19248
1994-01-01 .
1995-01-01 21936
1996-01-01 .
1997-01-01 22224
1998-01-01 22557
1999-01-01 25032
2000-01-01 26125
2001-01-01 25431
2002-01-01 25337
2003-01-01 26432
2004-01-01 28071
2005-01-01 27801
2006-01-01 30058
2007-01-01 29584
2008-01-01 31778
2009-01-01 32298
2010-01-01 31614
2011-01-01 29393
2012-01-01 31695
2013-01-01 32135
2014-01-01 31044
2015-01-01 34362
2016-01-01 36841
2017-01-01 34629
2018-01-01 34182
2019-01-01 43753
2020-01-01 37495
2021-01-01 40220
2022-01-01 47164
2023-01-01 48345

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