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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lumpkin County, GA
Series ID MHICIUBGA13187A052NCEN
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 26662
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32443
1994-01-01 .
1995-01-01 37131
1996-01-01 .
1997-01-01 38679
1998-01-01 40630
1999-01-01 40406
2000-01-01 42786
2001-01-01 41397
2002-01-01 41435
2003-01-01 42096
2004-01-01 43573
2005-01-01 44781
2006-01-01 47923
2007-01-01 50805
2008-01-01 49130
2009-01-01 48938
2010-01-01 47782
2011-01-01 48671
2012-01-01 48355
2013-01-01 46898
2014-01-01 48843
2015-01-01 52223
2016-01-01 52264
2017-01-01 60630
2018-01-01 61559
2019-01-01 63115
2020-01-01 73097
2021-01-01 70742
2022-01-01 77780
2023-01-01 79670
2024-01-01 87973

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