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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fulton County, GA
Series ID MHICILBGA13121A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:10 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 25921
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30813
1994-01-01 .
1995-01-01 33338
1996-01-01 .
1997-01-01 36287
1998-01-01 38088
1999-01-01 41187
2000-01-01 43446
2001-01-01 43849
2002-01-01 43169
2003-01-01 43242
2004-01-01 43134
2005-01-01 49687
2006-01-01 52825
2007-01-01 55498
2008-01-01 60389
2009-01-01 54224
2010-01-01 51706
2011-01-01 52313
2012-01-01 53891
2013-01-01 53847
2014-01-01 53942
2015-01-01 58348
2016-01-01 60272
2017-01-01 63093
2018-01-01 69679
2019-01-01 76908
2020-01-01 69436
2021-01-01 80898
2022-01-01 87071
2023-01-01 91424
2024-01-01 98337

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