Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Johnson County, GA
Series ID MHICIUBGA13167A052NCEN
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 19449
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22766
1994-01-01 .
1995-01-01 25339
1996-01-01 .
1997-01-01 27416
1998-01-01 28022
1999-01-01 25748
2000-01-01 26766
2001-01-01 25341
2002-01-01 25342
2003-01-01 25976
2004-01-01 27030
2005-01-01 29170
2006-01-01 28799
2007-01-01 31110
2008-01-01 31543
2009-01-01 30145
2010-01-01 30973
2011-01-01 31489
2012-01-01 31564
2013-01-01 32492
2014-01-01 32948
2015-01-01 33716
2016-01-01 35707
2017-01-01 38853
2018-01-01 38660
2019-01-01 41719
2020-01-01 42210
2021-01-01 42410
2022-01-01 47534

Subscribe to the FRED newsletter


Follow us

Back to Top