Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jenkins County, GA
Series ID MHICILBGA13165A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 PM 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 13667
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16680
1994-01-01 .
1995-01-01 17727
1996-01-01 .
1997-01-01 19570
1998-01-01 20539
1999-01-01 22215
2000-01-01 22766
2001-01-01 22280
2002-01-01 21997
2003-01-01 22740
2004-01-01 23051
2005-01-01 23507
2006-01-01 24613
2007-01-01 25325
2008-01-01 25597
2009-01-01 23624
2010-01-01 25040
2011-01-01 23350
2012-01-01 27037
2013-01-01 25562
2014-01-01 27876
2015-01-01 26829
2016-01-01 27307
2017-01-01 28921
2018-01-01 28183
2019-01-01 29129
2020-01-01 32223
2021-01-01 33933
2022-01-01 36553

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