Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Quitman County, GA
Series ID MHICIUBGA13239A052NCEN
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 14523
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19819
1994-01-01 .
1995-01-01 23429
1996-01-01 .
1997-01-01 23959
1998-01-01 25736
1999-01-01 26121
2000-01-01 27604
2001-01-01 26440
2002-01-01 26744
2003-01-01 27602
2004-01-01 28183
2005-01-01 30248
2006-01-01 29822
2007-01-01 31777
2008-01-01 34743
2009-01-01 31481
2010-01-01 30752
2011-01-01 31402
2012-01-01 31472
2013-01-01 31892
2014-01-01 32557
2015-01-01 33054
2016-01-01 33808
2017-01-01 34597
2018-01-01 37581
2019-01-01 39906
2020-01-01 43253
2021-01-01 43220
2022-01-01 46698
2023-01-01 48037

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