Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chatham County, GA
Series ID MHICIUBGA13051A052NCEN
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 27298
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31760
1994-01-01 .
1995-01-01 34856
1996-01-01 .
1997-01-01 36705
1998-01-01 38091
1999-01-01 37957
2000-01-01 40596
2001-01-01 39362
2002-01-01 38843
2003-01-01 39155
2004-01-01 40684
2005-01-01 44073
2006-01-01 42762
2007-01-01 47601
2008-01-01 47187
2009-01-01 44217
2010-01-01 44996
2011-01-01 44870
2012-01-01 44823
2013-01-01 47205
2014-01-01 51756
2015-01-01 50991
2016-01-01 55321
2017-01-01 56835
2018-01-01 57866
2019-01-01 60354
2020-01-01 61975
2021-01-01 63813
2022-01-01 68058

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