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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sumter County, GA
Series ID MHICILBGA13261A052NCEN
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 7:10 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 18513
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21804
1994-01-01 .
1995-01-01 24232
1996-01-01 .
1997-01-01 25118
1998-01-01 26060
1999-01-01 27597
2000-01-01 28667
2001-01-01 27690
2002-01-01 27163
2003-01-01 27905
2004-01-01 27751
2005-01-01 28473
2006-01-01 29546
2007-01-01 31666
2008-01-01 30457
2009-01-01 29696
2010-01-01 29422
2011-01-01 29141
2012-01-01 29808
2013-01-01 29272
2014-01-01 31056
2015-01-01 30680
2016-01-01 32150
2017-01-01 34050
2018-01-01 33888
2019-01-01 35354
2020-01-01 37777
2021-01-01 34815
2022-01-01 39555
2023-01-01 40185
2024-01-01 45599

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