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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Paulding County, GA
Series ID MHICIUBGA13223A052NCEN
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 34044
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42766
1994-01-01 .
1995-01-01 47248
1996-01-01 .
1997-01-01 47835
1998-01-01 53360
1999-01-01 54886
2000-01-01 58056
2001-01-01 58514
2002-01-01 59636
2003-01-01 60864
2004-01-01 62692
2005-01-01 60091
2006-01-01 65105
2007-01-01 63516
2008-01-01 70111
2009-01-01 66927
2010-01-01 64246
2011-01-01 61721
2012-01-01 62851
2013-01-01 63954
2014-01-01 67642
2015-01-01 66901
2016-01-01 71048
2017-01-01 71744
2018-01-01 76679
2019-01-01 81339
2020-01-01 86598
2021-01-01 97279
2022-01-01 92651

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