Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Oconee County, GA
Series ID MHICIUBGA13219A052NCEN
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 2:32 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 37308
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42946
1994-01-01 .
1995-01-01 48911
1996-01-01 .
1997-01-01 50813
1998-01-01 54578
1999-01-01 58030
2000-01-01 61062
2001-01-01 61033
2002-01-01 61385
2003-01-01 61725
2004-01-01 66027
2005-01-01 68340
2006-01-01 72513
2007-01-01 77170
2008-01-01 83372
2009-01-01 81200
2010-01-01 82633
2011-01-01 77341
2012-01-01 82349
2013-01-01 78591
2014-01-01 87948
2015-01-01 81943
2016-01-01 94887
2017-01-01 101412
2018-01-01 105850
2019-01-01 112473
2020-01-01 119161
2021-01-01 122648
2022-01-01 126654
2023-01-01 122668

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