Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Decatur County, GA
Series ID MHICIUBGA13087A052NCEN
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 21735
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24690
1994-01-01 .
1995-01-01 26313
1996-01-01 .
1997-01-01 29463
1998-01-01 29951
1999-01-01 29215
2000-01-01 31054
2001-01-01 29721
2002-01-01 29386
2003-01-01 29768
2004-01-01 30033
2005-01-01 32489
2006-01-01 33560
2007-01-01 35819
2008-01-01 35681
2009-01-01 32987
2010-01-01 36077
2011-01-01 33994
2012-01-01 32896
2013-01-01 37109
2014-01-01 37492
2015-01-01 40518
2016-01-01 39945
2017-01-01 41494
2018-01-01 42079
2019-01-01 44546
2020-01-01 48099
2021-01-01 48217
2022-01-01 51675

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