Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Screven County, GA
Series ID MHICILBGA13251A052NCEN
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 16343
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20602
1994-01-01 .
1995-01-01 22751
1996-01-01 .
1997-01-01 23540
1998-01-01 24342
1999-01-01 26444
2000-01-01 27350
2001-01-01 26139
2002-01-01 26064
2003-01-01 26953
2004-01-01 27225
2005-01-01 27495
2006-01-01 29695
2007-01-01 29519
2008-01-01 30332
2009-01-01 30593
2010-01-01 28562
2011-01-01 29822
2012-01-01 30485
2013-01-01 31710
2014-01-01 31097
2015-01-01 32413
2016-01-01 32555
2017-01-01 35634
2018-01-01 34868
2019-01-01 37424
2020-01-01 37250
2021-01-01 39579
2022-01-01 47949
2023-01-01 43561

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