Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mitchell County, GA
Series ID MHICILBGA13205A052NCEN
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 2:33 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 15180
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17865
1994-01-01 .
1995-01-01 20133
1996-01-01 .
1997-01-01 21533
1998-01-01 23204
1999-01-01 24046
2000-01-01 24985
2001-01-01 24049
2002-01-01 23502
2003-01-01 23766
2004-01-01 24159
2005-01-01 24785
2006-01-01 26347
2007-01-01 27816
2008-01-01 28722
2009-01-01 31981
2010-01-01 29009
2011-01-01 28290
2012-01-01 27335
2013-01-01 29158
2014-01-01 29782
2015-01-01 30979
2016-01-01 29962
2017-01-01 32855
2018-01-01 32867
2019-01-01 32790
2020-01-01 32855
2021-01-01 37410
2022-01-01 40143
2023-01-01 43442

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