Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Brantley County, GA
Series ID MHICILBGA13025A052NCEN
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 3:13 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 19617
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22793
1994-01-01 .
1995-01-01 25181
1996-01-01 .
1997-01-01 26333
1998-01-01 27919
1999-01-01 28158
2000-01-01 29071
2001-01-01 28410
2002-01-01 28990
2003-01-01 30670
2004-01-01 31614
2005-01-01 31550
2006-01-01 33285
2007-01-01 35011
2008-01-01 34116
2009-01-01 31954
2010-01-01 32292
2011-01-01 32748
2012-01-01 33039
2013-01-01 33094
2014-01-01 33147
2015-01-01 34459
2016-01-01 33956
2017-01-01 36427
2018-01-01 37266
2019-01-01 39262
2020-01-01 32700
2021-01-01 42202
2022-01-01 44221
2023-01-01 51414

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