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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, AL
Series ID MHICIUBAL01089A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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 35707
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41862
1994-01-01 .
1995-01-01 44666
1996-01-01 .
1997-01-01 46167
1998-01-01 48240
1999-01-01 46540
2000-01-01 49032
2001-01-01 49089
2002-01-01 50056
2003-01-01 51680
2004-01-01 52448
2005-01-01 52185
2006-01-01 52724
2007-01-01 55690
2008-01-01 57302
2009-01-01 60017
2010-01-01 57567
2011-01-01 58251
2012-01-01 59465
2013-01-01 60555
2014-01-01 62068
2015-01-01 61746
2016-01-01 64770
2017-01-01 65349
2018-01-01 66526
2019-01-01 72377
2020-01-01 72276
2021-01-01 81388
2022-01-01 84048
2023-01-01 89390
2024-01-01 91861

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