Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tattnall County, GA
Series ID MHICIUBGA13267A052NCEN
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 20491
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24681
1994-01-01 .
1995-01-01 28227
1996-01-01 .
1997-01-01 29755
1998-01-01 30996
1999-01-01 29435
2000-01-01 30779
2001-01-01 29710
2002-01-01 28769
2003-01-01 29399
2004-01-01 30033
2005-01-01 33134
2006-01-01 35265
2007-01-01 35586
2008-01-01 38993
2009-01-01 34757
2010-01-01 38239
2011-01-01 34461
2012-01-01 39807
2013-01-01 39220
2014-01-01 37294
2015-01-01 40614
2016-01-01 38969
2017-01-01 41829
2018-01-01 45481
2019-01-01 45871
2020-01-01 51216
2021-01-01 49505
2022-01-01 52718

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