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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Terrell County, GA
Series ID MHICILBGA13273A052NCEN
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 13657
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16845
1994-01-01 .
1995-01-01 18496
1996-01-01 .
1997-01-01 20183
1998-01-01 21174
1999-01-01 24164
2000-01-01 25271
2001-01-01 24845
2002-01-01 24583
2003-01-01 25201
2004-01-01 25481
2005-01-01 25649
2006-01-01 25873
2007-01-01 27309
2008-01-01 27978
2009-01-01 27268
2010-01-01 28260
2011-01-01 27415
2012-01-01 28261
2013-01-01 28688
2014-01-01 31648
2015-01-01 29058
2016-01-01 30690
2017-01-01 30645
2018-01-01 32080
2019-01-01 32587
2020-01-01 34554
2021-01-01 35599
2022-01-01 49286
2023-01-01 40111
2024-01-01 41089

Back to Top