Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Monroe County, AL
Series ID MHICILBAL01099A052NCEN
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 1:55 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 17583
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21969
1994-01-01 .
1995-01-01 23981
1996-01-01 .
1997-01-01 24911
1998-01-01 25853
1999-01-01 26854
2000-01-01 27655
2001-01-01 27032
2002-01-01 26550
2003-01-01 27238
2004-01-01 28370
2005-01-01 28081
2006-01-01 29252
2007-01-01 29565
2008-01-01 30722
2009-01-01 28560
2010-01-01 28917
2011-01-01 28175
2012-01-01 33721
2013-01-01 29402
2014-01-01 31137
2015-01-01 31428
2016-01-01 32700
2017-01-01 32445
2018-01-01 35396
2019-01-01 35297
2020-01-01 33086
2021-01-01 36842
2022-01-01 43032

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