Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coffee County, GA
Series ID MHICILBGA13069A052NCEN
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 1:12 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 17017
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21313
1994-01-01 .
1995-01-01 24519
1996-01-01 .
1997-01-01 25525
1998-01-01 26648
1999-01-01 27459
2000-01-01 28318
2001-01-01 27548
2002-01-01 26905
2003-01-01 27697
2004-01-01 28852
2005-01-01 28661
2006-01-01 30894
2007-01-01 31151
2008-01-01 31487
2009-01-01 29440
2010-01-01 30717
2011-01-01 29335
2012-01-01 29691
2013-01-01 30674
2014-01-01 30121
2015-01-01 31805
2016-01-01 35627
2017-01-01 36057
2018-01-01 35931
2019-01-01 37633
2020-01-01 38111
2021-01-01 32866
2022-01-01 44088

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