Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carroll County, GA
Series ID MHICILBGA13045A052NCEN
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 1:54 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 22078
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26843
1994-01-01 .
1995-01-01 28996
1996-01-01 .
1997-01-01 31025
1998-01-01 33454
1999-01-01 34956
2000-01-01 36551
2001-01-01 36061
2002-01-01 36438
2003-01-01 38592
2004-01-01 38969
2005-01-01 39794
2006-01-01 40973
2007-01-01 40679
2008-01-01 44454
2009-01-01 42116
2010-01-01 42404
2011-01-01 39944
2012-01-01 40666
2013-01-01 43192
2014-01-01 39801
2015-01-01 41988
2016-01-01 47151
2017-01-01 46869
2018-01-01 48739
2019-01-01 54256
2020-01-01 60053
2021-01-01 54120
2022-01-01 64917

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