Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ben Hill County, GA
Series ID MHICIUBGA13017A052NCEN
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 20618
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24336
1994-01-01 .
1995-01-01 28050
1996-01-01 .
1997-01-01 29209
1998-01-01 30294
1999-01-01 29007
2000-01-01 30213
2001-01-01 28923
2002-01-01 29044
2003-01-01 29335
2004-01-01 29879
2005-01-01 30155
2006-01-01 30835
2007-01-01 34889
2008-01-01 34043
2009-01-01 31622
2010-01-01 32728
2011-01-01 32410
2012-01-01 31734
2013-01-01 32899
2014-01-01 33749
2015-01-01 33802
2016-01-01 36081
2017-01-01 34974
2018-01-01 38877
2019-01-01 40209
2020-01-01 45055
2021-01-01 44737
2022-01-01 45554
2023-01-01 44305

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