Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chatham County, GA
Series ID MHICILBGA13051A052NCEN
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 22998
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27372
1994-01-01 .
1995-01-01 28735
1996-01-01 .
1997-01-01 30556
1998-01-01 32019
1999-01-01 33347
2000-01-01 34954
2001-01-01 34300
2002-01-01 33846
2003-01-01 34540
2004-01-01 35958
2005-01-01 40108
2006-01-01 38182
2007-01-01 42648
2008-01-01 43077
2009-01-01 40646
2010-01-01 40460
2011-01-01 39896
2012-01-01 40565
2013-01-01 43303
2014-01-01 48552
2015-01-01 46779
2016-01-01 50171
2017-01-01 52499
2018-01-01 50464
2019-01-01 53890
2020-01-01 50739
2021-01-01 59241
2022-01-01 60000

Subscribe to the FRED newsletter


Follow us

Back to Top