Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, VA
Series ID MHICILBVA51113A052NCEN
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 1:54 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 22728
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27259
1994-01-01 .
1995-01-01 29286
1996-01-01 .
1997-01-01 31878
1998-01-01 33964
1999-01-01 36063
2000-01-01 37841
2001-01-01 37747
2002-01-01 37972
2003-01-01 38499
2004-01-01 40327
2005-01-01 39687
2006-01-01 42521
2007-01-01 45091
2008-01-01 49148
2009-01-01 45836
2010-01-01 44869
2011-01-01 47206
2012-01-01 46085
2013-01-01 46879
2014-01-01 47058
2015-01-01 48208
2016-01-01 51030
2017-01-01 52701
2018-01-01 53939
2019-01-01 60408
2020-01-01 57719
2021-01-01 59721
2022-01-01 62683

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