Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wilkinson County, GA
Series ID MHICIUBGA13319A052NCEN
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 3:12 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 26133
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29271
1994-01-01 .
1995-01-01 31300
1996-01-01 .
1997-01-01 34049
1998-01-01 35299
1999-01-01 33840
2000-01-01 35925
2001-01-01 34293
2002-01-01 33868
2003-01-01 33887
2004-01-01 34719
2005-01-01 34960
2006-01-01 38193
2007-01-01 38353
2008-01-01 43196
2009-01-01 38113
2010-01-01 38869
2011-01-01 41517
2012-01-01 39605
2013-01-01 39078
2014-01-01 37272
2015-01-01 41846
2016-01-01 50298
2017-01-01 45373
2018-01-01 45536
2019-01-01 49010
2020-01-01 50880
2021-01-01 51980
2022-01-01 54957
2023-01-01 57940

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