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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Colbert County, AL
Series ID MHICILBAL01033A052NCEN
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 1:55 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 19762
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23133
1994-01-01 .
1995-01-01 26090
1996-01-01 .
1997-01-01 28364
1998-01-01 29198
1999-01-01 29957
2000-01-01 30865
2001-01-01 30137
2002-01-01 30081
2003-01-01 31528
2004-01-01 32491
2005-01-01 32813
2006-01-01 34005
2007-01-01 34961
2008-01-01 36808
2009-01-01 33793
2010-01-01 34320
2011-01-01 34117
2012-01-01 36851
2013-01-01 37377
2014-01-01 40574
2015-01-01 37432
2016-01-01 42799
2017-01-01 42010
2018-01-01 46196
2019-01-01 42507
2020-01-01 49363
2021-01-01 48729
2022-01-01 48946

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