Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bryan County, GA
Series ID MHICIUBGA13029A052NCEN
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 29658
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36386
1994-01-01 .
1995-01-01 43019
1996-01-01 .
1997-01-01 42293
1998-01-01 44860
1999-01-01 49331
2000-01-01 52788
2001-01-01 51875
2002-01-01 53073
2003-01-01 55019
2004-01-01 57882
2005-01-01 62561
2006-01-01 65000
2007-01-01 66567
2008-01-01 67138
2009-01-01 63397
2010-01-01 69690
2011-01-01 69272
2012-01-01 66550
2013-01-01 72037
2014-01-01 72969
2015-01-01 76623
2016-01-01 84078
2017-01-01 81459
2018-01-01 86799
2019-01-01 87303
2020-01-01 92918
2021-01-01 97155
2022-01-01 100299
2023-01-01 106324

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