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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Webster County, GA
Series ID MHICIUBGA13307A052NCEN
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 19656
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24118
1994-01-01 .
1995-01-01 27108
1996-01-01 .
1997-01-01 29764
1998-01-01 30916
1999-01-01 29513
2000-01-01 30583
2001-01-01 30186
2002-01-01 30466
2003-01-01 31494
2004-01-01 31071
2005-01-01 32820
2006-01-01 33840
2007-01-01 36659
2008-01-01 37200
2009-01-01 35219
2010-01-01 34261
2011-01-01 36036
2012-01-01 35931
2013-01-01 37843
2014-01-01 37550
2015-01-01 39471
2016-01-01 40303
2017-01-01 43359
2018-01-01 42477
2019-01-01 46606
2020-01-01 52547
2021-01-01 49466
2022-01-01 51765

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