Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cobb County, GA
Series ID MHICILBGA13067A052NCEN
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 1:12 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 39310
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 43444
1994-01-01 .
1995-01-01 47321
1996-01-01 .
1997-01-01 50003
1998-01-01 51413
1999-01-01 51269
2000-01-01 53222
2001-01-01 53096
2002-01-01 50927
2003-01-01 49747
2004-01-01 49668
2005-01-01 59531
2006-01-01 60470
2007-01-01 63030
2008-01-01 67661
2009-01-01 60606
2010-01-01 57286
2011-01-01 54954
2012-01-01 60649
2013-01-01 60942
2014-01-01 64994
2015-01-01 68090
2016-01-01 68852
2017-01-01 72753
2018-01-01 75736
2019-01-01 76894
2020-01-01 77797
2021-01-01 83921
2022-01-01 94456

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