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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Treutlen County, GA
Series ID MHICIUBGA13283A052NCEN
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 18447
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21318
1994-01-01 .
1995-01-01 25151
1996-01-01 .
1997-01-01 26513
1998-01-01 27408
1999-01-01 25842
2000-01-01 26988
2001-01-01 25952
2002-01-01 26039
2003-01-01 26595
2004-01-01 27208
2005-01-01 28885
2006-01-01 30195
2007-01-01 32430
2008-01-01 33310
2009-01-01 32056
2010-01-01 33720
2011-01-01 33226
2012-01-01 34807
2013-01-01 34775
2014-01-01 35685
2015-01-01 35376
2016-01-01 35603
2017-01-01 38175
2018-01-01 38946
2019-01-01 42029
2020-01-01 47118
2021-01-01 46003
2022-01-01 49012

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