Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Glascock County, GA
Series ID MHICIUBGA13125A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 22193
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26557
1994-01-01 .
1995-01-01 28654
1996-01-01 .
1997-01-01 31753
1998-01-01 32383
1999-01-01 31484
2000-01-01 33146
2001-01-01 32301
2002-01-01 32682
2003-01-01 32985
2004-01-01 35194
2005-01-01 36151
2006-01-01 37252
2007-01-01 40540
2008-01-01 40404
2009-01-01 37710
2010-01-01 39764
2011-01-01 38765
2012-01-01 39077
2013-01-01 41697
2014-01-01 42997
2015-01-01 44666
2016-01-01 45722
2017-01-01 48367
2018-01-01 46201
2019-01-01 55359
2020-01-01 58830
2021-01-01 55099
2022-01-01 61403
2023-01-01 62032

Subscribe to the FRED newsletter


Follow us

Back to Top