Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Winston County, AL
Series ID MHICILBAL01133A052NCEN
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 2:33 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 17111
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20325
1994-01-01 .
1995-01-01 21833
1996-01-01 .
1997-01-01 22296
1998-01-01 23688
1999-01-01 25809
2000-01-01 26299
2001-01-01 25656
2002-01-01 25064
2003-01-01 25699
2004-01-01 26974
2005-01-01 26688
2006-01-01 28992
2007-01-01 30155
2008-01-01 28878
2009-01-01 27953
2010-01-01 29693
2011-01-01 28288
2012-01-01 29713
2013-01-01 30921
2014-01-01 33163
2015-01-01 33054
2016-01-01 34883
2017-01-01 34435
2018-01-01 36842
2019-01-01 36204
2020-01-01 42177
2021-01-01 41809
2022-01-01 45495
2023-01-01 45967

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