Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marion County, AL
Series ID MHICIUBAL01093A052NCEN
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 3:12 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 22344
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25122
1994-01-01 .
1995-01-01 29048
1996-01-01 .
1997-01-01 30069
1998-01-01 31746
1999-01-01 29519
2000-01-01 30469
2001-01-01 29300
2002-01-01 28747
2003-01-01 29064
2004-01-01 30679
2005-01-01 32446
2006-01-01 35406
2007-01-01 35853
2008-01-01 34377
2009-01-01 35415
2010-01-01 34420
2011-01-01 33902
2012-01-01 34794
2013-01-01 36894
2014-01-01 40019
2015-01-01 38244
2016-01-01 40151
2017-01-01 41620
2018-01-01 41760
2019-01-01 47572
2020-01-01 50280
2021-01-01 49765
2022-01-01 53242
2023-01-01 54365

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