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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chattahoochee County, GA
Series ID MHICILBGA13053A052NCEN
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 1:12 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 21328
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25973
1994-01-01 .
1995-01-01 27541
1996-01-01 .
1997-01-01 33062
1998-01-01 35032
1999-01-01 34707
2000-01-01 35603
2001-01-01 33827
2002-01-01 32305
2003-01-01 33174
2004-01-01 32894
2005-01-01 35126
2006-01-01 35763
2007-01-01 40901
2008-01-01 37756
2009-01-01 36639
2010-01-01 42087
2011-01-01 38505
2012-01-01 38991
2013-01-01 42666
2014-01-01 41071
2015-01-01 37890
2016-01-01 39463
2017-01-01 39677
2018-01-01 41809
2019-01-01 40486
2020-01-01 43793
2021-01-01 47916
2022-01-01 50755

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