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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Evans County, GA
Series ID MHICILBGA13109A052NCEN
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 16644
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19929
1994-01-01 .
1995-01-01 21783
1996-01-01 .
1997-01-01 22560
1998-01-01 23140
1999-01-01 23626
2000-01-01 24334
2001-01-01 23837
2002-01-01 24204
2003-01-01 25649
2004-01-01 25725
2005-01-01 25637
2006-01-01 27132
2007-01-01 31898
2008-01-01 30112
2009-01-01 27406
2010-01-01 29382
2011-01-01 27743
2012-01-01 28847
2013-01-01 29727
2014-01-01 29961
2015-01-01 30823
2016-01-01 31481
2017-01-01 30823
2018-01-01 33374
2019-01-01 37071
2020-01-01 48364
2021-01-01 36849
2022-01-01 40204
2023-01-01 48491
2024-01-01 42132

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