Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Appling County, GA
Series ID MHICIUBGA13001A052NCEN
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 21739
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26566
1994-01-01 .
1995-01-01 30154
1996-01-01 .
1997-01-01 31646
1998-01-01 32126
1999-01-01 30991
2000-01-01 32717
2001-01-01 32035
2002-01-01 31638
2003-01-01 32495
2004-01-01 33071
2005-01-01 35041
2006-01-01 37736
2007-01-01 36089
2008-01-01 37959
2009-01-01 35592
2010-01-01 39742
2011-01-01 38607
2012-01-01 39025
2013-01-01 40411
2014-01-01 40252
2015-01-01 43182
2016-01-01 41058
2017-01-01 45203
2018-01-01 47044
2019-01-01 49164
2020-01-01 52035
2021-01-01 51951
2022-01-01 56460
2023-01-01 57001

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