Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Brooks County, GA
Series ID MHICILBGA13027A052NCEN
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 13005
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17318
1994-01-01 .
1995-01-01 20407
1996-01-01 .
1997-01-01 22758
1998-01-01 23406
1999-01-01 23999
2000-01-01 24858
2001-01-01 23791
2002-01-01 23316
2003-01-01 24685
2004-01-01 24404
2005-01-01 25609
2006-01-01 27041
2007-01-01 29320
2008-01-01 31857
2009-01-01 28491
2010-01-01 29171
2011-01-01 26787
2012-01-01 29372
2013-01-01 31418
2014-01-01 29702
2015-01-01 33950
2016-01-01 30370
2017-01-01 32151
2018-01-01 32430
2019-01-01 35432
2020-01-01 36734
2021-01-01 35887
2022-01-01 38783
2023-01-01 40954

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