Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Decatur County, GA
Series ID MHICILBGA13087A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 17356
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20256
1994-01-01 .
1995-01-01 20054
1996-01-01 .
1997-01-01 23274
1998-01-01 23854
1999-01-01 25628
2000-01-01 26709
2001-01-01 25839
2002-01-01 25545
2003-01-01 26173
2004-01-01 26381
2005-01-01 27122
2006-01-01 28119
2007-01-01 29480
2008-01-01 29412
2009-01-01 27302
2010-01-01 30499
2011-01-01 28114
2012-01-01 27766
2013-01-01 31095
2014-01-01 30444
2015-01-01 34804
2016-01-01 32327
2017-01-01 34176
2018-01-01 34803
2019-01-01 36400
2020-01-01 37893
2021-01-01 37703
2022-01-01 41235
2023-01-01 44810

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