Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Monroe County, MS
Series ID MHICILBMS28095A052NCEN
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 3:13 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 17542
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20909
1994-01-01 .
1995-01-01 22692
1996-01-01 .
1997-01-01 24681
1998-01-01 26137
1999-01-01 28067
2000-01-01 29069
2001-01-01 28381
2002-01-01 28199
2003-01-01 29073
2004-01-01 30214
2005-01-01 28993
2006-01-01 31901
2007-01-01 31805
2008-01-01 31001
2009-01-01 30498
2010-01-01 31795
2011-01-01 31515
2012-01-01 33125
2013-01-01 32946
2014-01-01 33238
2015-01-01 35304
2016-01-01 34455
2017-01-01 36144
2018-01-01 41124
2019-01-01 38295
2020-01-01 43028
2021-01-01 42922
2022-01-01 48255
2023-01-01 45077

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