Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wilkinson County, GA
Series ID MHICILBGA13319A052NCEN
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 21638
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24712
1994-01-01 .
1995-01-01 25134
1996-01-01 .
1997-01-01 27834
1998-01-01 29169
1999-01-01 29754
2000-01-01 30962
2001-01-01 29881
2002-01-01 29499
2003-01-01 29841
2004-01-01 30537
2005-01-01 29352
2006-01-01 31933
2007-01-01 32381
2008-01-01 36990
2009-01-01 31207
2010-01-01 32191
2011-01-01 35623
2012-01-01 32833
2013-01-01 32412
2014-01-01 31752
2015-01-01 34360
2016-01-01 44320
2017-01-01 36439
2018-01-01 36536
2019-01-01 38794
2020-01-01 37256
2021-01-01 40970
2022-01-01 44339
2023-01-01 45056

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