Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Catoosa County, GA
Series ID MHICIUBGA13047A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 29619
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33004
1994-01-01 .
1995-01-01 36727
1996-01-01 .
1997-01-01 38631
1998-01-01 40602
1999-01-01 41514
2000-01-01 43807
2001-01-01 42967
2002-01-01 43432
2003-01-01 44737
2004-01-01 45605
2005-01-01 48779
2006-01-01 47996
2007-01-01 50936
2008-01-01 51632
2009-01-01 47414
2010-01-01 50516
2011-01-01 50583
2012-01-01 50804
2013-01-01 53272
2014-01-01 54497
2015-01-01 52322
2016-01-01 58007
2017-01-01 58582
2018-01-01 61214
2019-01-01 64514
2020-01-01 68834
2021-01-01 69705
2022-01-01 72462
2023-01-01 78296

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