Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Russell County, AL
Series ID MHICIUBAL01113A052NCEN
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 1:10 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 22500
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26152
1994-01-01 .
1995-01-01 29633
1996-01-01 .
1997-01-01 31226
1998-01-01 32492
1999-01-01 29634
2000-01-01 30880
2001-01-01 30038
2002-01-01 29982
2003-01-01 30410
2004-01-01 31623
2005-01-01 31938
2006-01-01 33133
2007-01-01 35900
2008-01-01 30849
2009-01-01 36409
2010-01-01 35116
2011-01-01 35175
2012-01-01 36876
2013-01-01 37901
2014-01-01 38379
2015-01-01 39510
2016-01-01 41774
2017-01-01 38974
2018-01-01 42457
2019-01-01 47706
2020-01-01 43771
2021-01-01 49160
2022-01-01 49919

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