Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coffee County, AL
Series ID MHICILBAL01031A052NCEN
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 23593
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25928
1994-01-01 .
1995-01-01 26497
1996-01-01 .
1997-01-01 28229
1998-01-01 29894
1999-01-01 31183
2000-01-01 32086
2001-01-01 31691
2002-01-01 32337
2003-01-01 33576
2004-01-01 34813
2005-01-01 33983
2006-01-01 38738
2007-01-01 34517
2008-01-01 39617
2009-01-01 40007
2010-01-01 38409
2011-01-01 39230
2012-01-01 42496
2013-01-01 40557
2014-01-01 44521
2015-01-01 42600
2016-01-01 44663
2017-01-01 48378
2018-01-01 51227
2019-01-01 52523
2020-01-01 47980
2021-01-01 49791
2022-01-01 57360
2023-01-01 59002

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