Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Coffee County, GA
Series ID MHICIUBGA13069A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 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 21691
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25784
1994-01-01 .
1995-01-01 30370
1996-01-01 .
1997-01-01 31426
1998-01-01 32504
1999-01-01 31229
2000-01-01 32721
2001-01-01 31513
2002-01-01 30785
2003-01-01 31373
2004-01-01 32689
2005-01-01 33916
2006-01-01 36515
2007-01-01 36180
2008-01-01 37415
2009-01-01 34082
2010-01-01 36337
2011-01-01 35367
2012-01-01 35601
2013-01-01 36556
2014-01-01 36129
2015-01-01 37745
2016-01-01 41781
2017-01-01 42759
2018-01-01 43029
2019-01-01 45717
2020-01-01 50929
2021-01-01 40550
2022-01-01 53496

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