Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Emanuel County, GA
Series ID MHICILBGA13107A052NCEN
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 14126
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16482
1994-01-01 .
1995-01-01 18766
1996-01-01 .
1997-01-01 19744
1998-01-01 20165
1999-01-01 22286
2000-01-01 23355
2001-01-01 22896
2002-01-01 22638
2003-01-01 23927
2004-01-01 24442
2005-01-01 24233
2006-01-01 24871
2007-01-01 24394
2008-01-01 28120
2009-01-01 24466
2010-01-01 29185
2011-01-01 27564
2012-01-01 25628
2013-01-01 27543
2014-01-01 27094
2015-01-01 29001
2016-01-01 29518
2017-01-01 30185
2018-01-01 34952
2019-01-01 34564
2020-01-01 31596
2021-01-01 42111
2022-01-01 43481
2023-01-01 40943

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