Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wheeler County, GA
Series ID MHICIUBGA13309A052NCEN
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 18024
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21570
1994-01-01 .
1995-01-01 24877
1996-01-01 .
1997-01-01 25957
1998-01-01 26734
1999-01-01 25356
2000-01-01 26411
2001-01-01 25189
2002-01-01 25049
2003-01-01 25944
2004-01-01 26251
2005-01-01 28417
2006-01-01 30602
2007-01-01 34341
2008-01-01 34815
2009-01-01 31159
2010-01-01 32682
2011-01-01 32290
2012-01-01 30132
2013-01-01 33896
2014-01-01 33513
2015-01-01 34116
2016-01-01 32584
2017-01-01 34514
2018-01-01 36369
2019-01-01 40297
2020-01-01 42463
2021-01-01 39951
2022-01-01 39746
2023-01-01 46001

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