Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jenkins County, GA
Series ID MHICIUBGA13165A052NCEN
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 18186
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21268
1994-01-01 .
1995-01-01 23929
1996-01-01 .
1997-01-01 25784
1998-01-01 26677
1999-01-01 25375
2000-01-01 26507
2001-01-01 25636
2002-01-01 25321
2003-01-01 25881
2004-01-01 26259
2005-01-01 28396
2006-01-01 29667
2007-01-01 30980
2008-01-01 31213
2009-01-01 29056
2010-01-01 30324
2011-01-01 28264
2012-01-01 32013
2013-01-01 31328
2014-01-01 33480
2015-01-01 33019
2016-01-01 33915
2017-01-01 36023
2018-01-01 34655
2019-01-01 36487
2020-01-01 44389
2021-01-01 43061
2022-01-01 47107
2023-01-01 48016

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