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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jefferson County, GA
Series ID MHICIUBGA13163A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:06 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 17792
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21456
1994-01-01 .
1995-01-01 24832
1996-01-01 .
1997-01-01 26331
1998-01-01 27057
1999-01-01 27098
2000-01-01 28943
2001-01-01 28071
2002-01-01 28096
2003-01-01 28917
2004-01-01 30039
2005-01-01 30792
2006-01-01 31217
2007-01-01 33651
2008-01-01 33436
2009-01-01 32739
2010-01-01 32414
2011-01-01 30171
2012-01-01 31993
2013-01-01 31582
2014-01-01 33879
2015-01-01 35301
2016-01-01 37111
2017-01-01 38732
2018-01-01 41883
2019-01-01 39050
2020-01-01 46062
2021-01-01 46785
2022-01-01 49951
2023-01-01 51453
2024-01-01 50010

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