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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pickens County, GA
Series ID MHICILBGA13227A052NCEN
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 1:54 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 21953
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26866
1994-01-01 .
1995-01-01 30930
1996-01-01 .
1997-01-01 33734
1998-01-01 36642
1999-01-01 38372
2000-01-01 39694
2001-01-01 39542
2002-01-01 40267
2003-01-01 42207
2004-01-01 43649
2005-01-01 43784
2006-01-01 44895
2007-01-01 45746
2008-01-01 47443
2009-01-01 46126
2010-01-01 44393
2011-01-01 45259
2012-01-01 45610
2013-01-01 49246
2014-01-01 46717
2015-01-01 50966
2016-01-01 51933
2017-01-01 55858
2018-01-01 59622
2019-01-01 62014
2020-01-01 64406
2021-01-01 64668
2022-01-01 65617

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