Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, MS
Series ID MHICILBMS28089A052NCEN
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 19586
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27236
1994-01-01 .
1995-01-01 32358
1996-01-01 .
1997-01-01 34346
1998-01-01 36744
1999-01-01 40813
2000-01-01 43117
2001-01-01 42909
2002-01-01 43193
2003-01-01 46635
2004-01-01 47290
2005-01-01 48760
2006-01-01 52858
2007-01-01 55280
2008-01-01 57050
2009-01-01 51222
2010-01-01 52533
2011-01-01 51792
2012-01-01 55877
2013-01-01 59816
2014-01-01 61895
2015-01-01 61758
2016-01-01 61270
2017-01-01 64702
2018-01-01 72491
2019-01-01 65676
2020-01-01 57948
2021-01-01 71038
2022-01-01 73489
2023-01-01 75670

Subscribe to the FRED newsletter


Follow us

Back to Top