Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Stewart County, GA
Series ID MHICILBGA13259A052NCEN
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 3:14 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 11621
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14939
1994-01-01 .
1995-01-01 16841
1996-01-01 .
1997-01-01 18321
1998-01-01 19344
1999-01-01 22515
2000-01-01 23460
2001-01-01 22467
2002-01-01 22091
2003-01-01 22349
2004-01-01 22089
2005-01-01 22792
2006-01-01 23970
2007-01-01 24962
2008-01-01 26020
2009-01-01 25839
2010-01-01 24283
2011-01-01 23576
2012-01-01 24328
2013-01-01 25489
2014-01-01 24641
2015-01-01 26080
2016-01-01 22462
2017-01-01 28280
2018-01-01 29664
2019-01-01 30475
2020-01-01 36237
2021-01-01 32827
2022-01-01 36218
2023-01-01 35734

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