Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, AL
Series ID MHICILBAL01089A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:12 PM 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 31412
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37553
1994-01-01 .
1995-01-01 39028
1996-01-01 .
1997-01-01 40296
1998-01-01 42422
1999-01-01 41066
2000-01-01 42663
2001-01-01 43173
2002-01-01 44013
2003-01-01 45928
2004-01-01 46606
2005-01-01 48858
2006-01-01 50145
2007-01-01 50049
2008-01-01 53346
2009-01-01 54637
2010-01-01 51699
2011-01-01 52345
2012-01-01 54679
2013-01-01 55961
2014-01-01 55598
2015-01-01 56488
2016-01-01 57616
2017-01-01 60151
2018-01-01 60984
2019-01-01 64841
2020-01-01 63344
2021-01-01 75384
2022-01-01 76804

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