Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wilkes County, GA
Series ID MHICILBGA13317A052NCEN
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 17198
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20084
1994-01-01 .
1995-01-01 21073
1996-01-01 .
1997-01-01 23135
1998-01-01 24265
1999-01-01 25752
2000-01-01 26737
2001-01-01 25710
2002-01-01 25127
2003-01-01 25673
2004-01-01 26602
2005-01-01 27351
2006-01-01 27925
2007-01-01 29218
2008-01-01 28751
2009-01-01 26611
2010-01-01 27641
2011-01-01 27749
2012-01-01 29056
2013-01-01 30635
2014-01-01 29081
2015-01-01 30578
2016-01-01 30143
2017-01-01 31026
2018-01-01 35179
2019-01-01 35115
2020-01-01 36007
2021-01-01 37467
2022-01-01 41943
2023-01-01 43083

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