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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Houston County, AL
Series ID MHICILBAL01069A052NCEN
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 22556
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25807
1994-01-01 .
1995-01-01 27592
1996-01-01 .
1997-01-01 28983
1998-01-01 30171
1999-01-01 31372
2000-01-01 32743
2001-01-01 32217
2002-01-01 32303
2003-01-01 33681
2004-01-01 34385
2005-01-01 35680
2006-01-01 35430
2007-01-01 38309
2008-01-01 40807
2009-01-01 36977
2010-01-01 37170
2011-01-01 38492
2012-01-01 38486
2013-01-01 37582
2014-01-01 38031
2015-01-01 41506
2016-01-01 40461
2017-01-01 42919
2018-01-01 45283
2019-01-01 47462
2020-01-01 50074
2021-01-01 45238
2022-01-01 54034

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