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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Taylor County, GA
Series ID MHICIUBGA13269A052NCEN
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 20868
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21950
1994-01-01 .
1995-01-01 24436
1996-01-01 .
1997-01-01 25971
1998-01-01 27765
1999-01-01 26749
2000-01-01 28129
2001-01-01 27277
2002-01-01 27565
2003-01-01 28187
2004-01-01 28584
2005-01-01 29625
2006-01-01 29958
2007-01-01 32683
2008-01-01 33510
2009-01-01 32149
2010-01-01 33660
2011-01-01 33332
2012-01-01 33226
2013-01-01 33549
2014-01-01 36052
2015-01-01 35312
2016-01-01 34856
2017-01-01 39414
2018-01-01 39596
2019-01-01 30318
2020-01-01 45021
2021-01-01 45497
2022-01-01 49447

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