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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Paulding County, GA
Series ID MHICILBGA13223A052NCEN
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 29433
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37707
1994-01-01 .
1995-01-01 41138
1996-01-01 .
1997-01-01 41297
1998-01-01 46452
1999-01-01 47954
2000-01-01 49965
2001-01-01 50726
2002-01-01 51785
2003-01-01 53491
2004-01-01 55152
2005-01-01 53887
2006-01-01 56881
2007-01-01 56139
2008-01-01 59085
2009-01-01 60399
2010-01-01 58746
2011-01-01 56649
2012-01-01 56391
2013-01-01 56062
2014-01-01 60286
2015-01-01 58415
2016-01-01 59912
2017-01-01 64068
2018-01-01 69939
2019-01-01 71821
2020-01-01 68912
2021-01-01 81985
2022-01-01 82267

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