Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bibb County, AL
Series ID MHICIUBAL01007A052NCEN
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 2:32 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 21851
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25036
1994-01-01 .
1995-01-01 29737
1996-01-01 .
1997-01-01 31144
1998-01-01 32745
1999-01-01 32663
2000-01-01 34250
2001-01-01 33275
2002-01-01 33626
2003-01-01 35062
2004-01-01 36276
2005-01-01 36686
2006-01-01 40129
2007-01-01 42414
2008-01-01 44214
2009-01-01 42180
2010-01-01 38366
2011-01-01 40920
2012-01-01 40903
2013-01-01 43129
2014-01-01 42748
2015-01-01 44894
2016-01-01 47262
2017-01-01 50666
2018-01-01 50845
2019-01-01 53545
2020-01-01 58187
2021-01-01 54470
2022-01-01 60888
2023-01-01 62587

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