Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, GA
Series ID MHICIUBGA13157A052NCEN
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 1:53 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 26123
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30403
1994-01-01 .
1995-01-01 34989
1996-01-01 .
1997-01-01 37119
1998-01-01 38734
1999-01-01 40661
2000-01-01 43394
2001-01-01 42615
2002-01-01 42849
2003-01-01 44251
2004-01-01 46758
2005-01-01 47876
2006-01-01 43712
2007-01-01 54496
2008-01-01 55496
2009-01-01 54130
2010-01-01 53803
2011-01-01 53542
2012-01-01 53698
2013-01-01 56036
2014-01-01 54733
2015-01-01 60521
2016-01-01 60139
2017-01-01 68017
2018-01-01 73485
2019-01-01 72810
2020-01-01 78332
2021-01-01 76991
2022-01-01 88466

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