Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Liberty County, GA
Series ID MHICIUBGA13179A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:11 PM 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 22495
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26974
1994-01-01 .
1995-01-01 30264
1996-01-01 .
1997-01-01 32772
1998-01-01 32971
1999-01-01 33894
2000-01-01 36595
2001-01-01 35706
2002-01-01 35924
2003-01-01 36366
2004-01-01 39560
2005-01-01 40308
2006-01-01 40253
2007-01-01 43892
2008-01-01 42801
2009-01-01 43946
2010-01-01 42845
2011-01-01 43804
2012-01-01 44721
2013-01-01 42858
2014-01-01 43967
2015-01-01 42748
2016-01-01 48059
2017-01-01 49157
2018-01-01 51450
2019-01-01 54948
2020-01-01 55552
2021-01-01 55346
2022-01-01 63508

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