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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calhoun County, GA
Series ID MHICIUBGA13037A052NCEN
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 17681
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19618
1994-01-01 .
1995-01-01 23738
1996-01-01 .
1997-01-01 24669
1998-01-01 26196
1999-01-01 25216
2000-01-01 26767
2001-01-01 25860
2002-01-01 26266
2003-01-01 26343
2004-01-01 26408
2005-01-01 28487
2006-01-01 28844
2007-01-01 31177
2008-01-01 32339
2009-01-01 31835
2010-01-01 31410
2011-01-01 30612
2012-01-01 31617
2013-01-01 33742
2014-01-01 33964
2015-01-01 34125
2016-01-01 36552
2017-01-01 37481
2018-01-01 36407
2019-01-01 39110
2020-01-01 43136
2021-01-01 42528
2022-01-01 44753
2023-01-01 46468
2024-01-01 44424

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