Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Glascock County, GA
Series ID MHICILBGA13125A052NCEN
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 1:12 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 17617
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22048
1994-01-01 .
1995-01-01 22492
1996-01-01 .
1997-01-01 25480
1998-01-01 26166
1999-01-01 27605
2000-01-01 28509
2001-01-01 28098
2002-01-01 28391
2003-01-01 29034
2004-01-01 30959
2005-01-01 29959
2006-01-01 31102
2007-01-01 33448
2008-01-01 32856
2009-01-01 30547
2010-01-01 33102
2011-01-01 31729
2012-01-01 32197
2013-01-01 34213
2014-01-01 36289
2015-01-01 36798
2016-01-01 37102
2017-01-01 38691
2018-01-01 39439
2019-01-01 43341
2020-01-01 42770
2021-01-01 43251
2022-01-01 49675

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