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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Colbert County, AL
Series ID MHICIUBAL01033A052NCEN
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 24155
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27603
1994-01-01 .
1995-01-01 32054
1996-01-01 .
1997-01-01 34446
1998-01-01 35165
1999-01-01 34033
2000-01-01 35770
2001-01-01 34509
2002-01-01 34482
2003-01-01 35700
2004-01-01 36791
2005-01-01 38367
2006-01-01 39376
2007-01-01 40099
2008-01-01 43086
2009-01-01 40430
2010-01-01 40590
2011-01-01 40421
2012-01-01 42691
2013-01-01 42687
2014-01-01 45540
2015-01-01 44910
2016-01-01 50345
2017-01-01 50190
2018-01-01 51914
2019-01-01 50859
2020-01-01 59007
2021-01-01 57953
2022-01-01 60240

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