Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ware County, GA
Series ID MHICIUBGA13299A052NCEN
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 1:11 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 21685
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24771
1994-01-01 .
1995-01-01 28594
1996-01-01 .
1997-01-01 28802
1998-01-01 29586
1999-01-01 28832
2000-01-01 30641
2001-01-01 29537
2002-01-01 29823
2003-01-01 30375
2004-01-01 31289
2005-01-01 32659
2006-01-01 34680
2007-01-01 37291
2008-01-01 38083
2009-01-01 33721
2010-01-01 35309
2011-01-01 34707
2012-01-01 35748
2013-01-01 34869
2014-01-01 37454
2015-01-01 38595
2016-01-01 37945
2017-01-01 41664
2018-01-01 42264
2019-01-01 41598
2020-01-01 45292
2021-01-01 47587
2022-01-01 52172

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