Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Terrell County, GA
Series ID MHICIUBGA13273A052NCEN
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 18267
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21425
1994-01-01 .
1995-01-01 24684
1996-01-01 .
1997-01-01 26385
1998-01-01 27329
1999-01-01 27567
2000-01-01 29421
2001-01-01 28553
2002-01-01 28281
2003-01-01 28635
2004-01-01 28982
2005-01-01 30655
2006-01-01 31073
2007-01-01 33479
2008-01-01 34323
2009-01-01 33058
2010-01-01 34026
2011-01-01 33689
2012-01-01 33929
2013-01-01 34964
2014-01-01 37560
2015-01-01 35626
2016-01-01 37346
2017-01-01 37233
2018-01-01 38500
2019-01-01 41657
2020-01-01 44312
2021-01-01 45499
2022-01-01 57276

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