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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Winston County, AL
Series ID MHICIUBAL01133A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 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 21511
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24756
1994-01-01 .
1995-01-01 28044
1996-01-01 .
1997-01-01 28523
1998-01-01 29782
1999-01-01 29405
2000-01-01 30597
2001-01-01 29590
2002-01-01 28910
2003-01-01 29277
2004-01-01 30674
2005-01-01 31952
2006-01-01 34746
2007-01-01 35816
2008-01-01 35158
2009-01-01 34171
2010-01-01 35455
2011-01-01 33748
2012-01-01 35613
2013-01-01 36235
2014-01-01 37893
2015-01-01 39940
2016-01-01 42405
2017-01-01 42689
2018-01-01 45470
2019-01-01 45450
2020-01-01 50729
2021-01-01 52543
2022-01-01 56803

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