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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marshall County, AL
Series ID MHICIUBAL01095A052NCEN
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 23884
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28189
1994-01-01 .
1995-01-01 31272
1996-01-01 .
1997-01-01 32530
1998-01-01 34080
1999-01-01 33287
2000-01-01 34854
2001-01-01 34745
2002-01-01 35214
2003-01-01 35859
2004-01-01 37044
2005-01-01 36792
2006-01-01 39515
2007-01-01 39877
2008-01-01 39662
2009-01-01 40167
2010-01-01 41166
2011-01-01 41196
2012-01-01 39308
2013-01-01 41076
2014-01-01 39597
2015-01-01 43536
2016-01-01 45152
2017-01-01 46582
2018-01-01 50001
2019-01-01 52758
2020-01-01 56676
2021-01-01 55010
2022-01-01 56629
2023-01-01 64215
2024-01-01 70171

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