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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tattnall County, GA
Series ID MHICILBGA13267A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:10 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 15798
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20154
1994-01-01 .
1995-01-01 22069
1996-01-01 .
1997-01-01 23526
1998-01-01 24857
1999-01-01 25639
2000-01-01 26301
2001-01-01 25627
2002-01-01 24820
2003-01-01 25728
2004-01-01 26301
2005-01-01 27749
2006-01-01 29513
2007-01-01 30419
2008-01-01 32300
2009-01-01 29031
2010-01-01 31839
2011-01-01 28601
2012-01-01 35829
2013-01-01 32746
2014-01-01 30726
2015-01-01 33712
2016-01-01 32165
2017-01-01 35515
2018-01-01 37399
2019-01-01 37043
2020-01-01 39166
2021-01-01 38945
2022-01-01 42084
2023-01-01 44348
2024-01-01 47912

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