Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cherokee County, GA
Series ID MHICIUBGA13057A052NCEN
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 40126
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47834
1994-01-01 .
1995-01-01 56169
1996-01-01 .
1997-01-01 57472
1998-01-01 61126
1999-01-01 63533
2000-01-01 66891
2001-01-01 66892
2002-01-01 67577
2003-01-01 67784
2004-01-01 68152
2005-01-01 67819
2006-01-01 68264
2007-01-01 66711
2008-01-01 71639
2009-01-01 70869
2010-01-01 66457
2011-01-01 70228
2012-01-01 73154
2013-01-01 72180
2014-01-01 75501
2015-01-01 78758
2016-01-01 82655
2017-01-01 82618
2018-01-01 86173
2019-01-01 95436
2020-01-01 96899
2021-01-01 103283
2022-01-01 104238

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