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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Atkinson County, GA
Series ID MHICILBGA13003A052NCEN
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 13342
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18079
1994-01-01 .
1995-01-01 20928
1996-01-01 .
1997-01-01 21398
1998-01-01 22849
1999-01-01 24333
2000-01-01 25206
2001-01-01 24444
2002-01-01 23569
2003-01-01 24675
2004-01-01 25052
2005-01-01 25054
2006-01-01 26185
2007-01-01 27395
2008-01-01 28587
2009-01-01 26089
2010-01-01 25851
2011-01-01 25851
2012-01-01 26028
2013-01-01 28279
2014-01-01 28372
2015-01-01 29316
2016-01-01 29870
2017-01-01 31105
2018-01-01 33083
2019-01-01 33940
2020-01-01 33461
2021-01-01 35737
2022-01-01 40794
2023-01-01 40355
2024-01-01 41822

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