Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carroll County, GA
Series ID MHICIUBGA13045A052NCEN
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 26564
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31294
1994-01-01 .
1995-01-01 34972
1996-01-01 .
1997-01-01 37080
1998-01-01 39440
1999-01-01 39728
2000-01-01 42372
2001-01-01 41300
2002-01-01 41765
2003-01-01 43709
2004-01-01 44131
2005-01-01 46572
2006-01-01 47077
2007-01-01 45713
2008-01-01 50160
2009-01-01 48199
2010-01-01 48080
2011-01-01 46530
2012-01-01 46606
2013-01-01 47794
2014-01-01 47083
2015-01-01 48918
2016-01-01 54045
2017-01-01 55907
2018-01-01 56265
2019-01-01 64130
2020-01-01 69055
2021-01-01 65668
2022-01-01 74931

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