Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fulton County, GA
Series ID MHICIUBGA13121A052NCEN
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 2:32 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 30105
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34913
1994-01-01 .
1995-01-01 38512
1996-01-01 .
1997-01-01 41792
1998-01-01 43653
1999-01-01 46716
2000-01-01 49870
2001-01-01 49922
2002-01-01 49162
2003-01-01 48712
2004-01-01 48672
2005-01-01 54077
2006-01-01 56080
2007-01-01 60606
2008-01-01 64976
2009-01-01 58402
2010-01-01 55454
2011-01-01 57473
2012-01-01 57741
2013-01-01 57101
2014-01-01 57090
2015-01-01 61474
2016-01-01 65376
2017-01-01 66709
2018-01-01 71937
2019-01-01 81562
2020-01-01 73572
2021-01-01 84742
2022-01-01 92525
2023-01-01 97596

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