Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bibb County, GA
Series ID MHICILBGA13021A052NCEN
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 2:33 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 23276
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26972
1994-01-01 .
1995-01-01 28481
1996-01-01 .
1997-01-01 29583
1998-01-01 30772
1999-01-01 31516
2000-01-01 32676
2001-01-01 31995
2002-01-01 32180
2003-01-01 33159
2004-01-01 33411
2005-01-01 32543
2006-01-01 34919
2007-01-01 34457
2008-01-01 38514
2009-01-01 35031
2010-01-01 33851
2011-01-01 32428
2012-01-01 34341
2013-01-01 34347
2014-01-01 33984
2015-01-01 36291
2016-01-01 35405
2017-01-01 36121
2018-01-01 38381
2019-01-01 39823
2020-01-01 39037
2021-01-01 44798
2022-01-01 44500
2023-01-01 47415

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