Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Alexandria City, VA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Alexandria City, VA
Series ID MHICIUBVA51510A052NCEN
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 1:51 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 44256
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47885
1994-01-01 .
1995-01-01 49144
1996-01-01 .
1997-01-01 54155
1998-01-01 57764
1999-01-01 58272
2000-01-01 62027
2001-01-01 62494
2002-01-01 63422
2003-01-01 63206
2004-01-01 64704
2005-01-01 69051
2006-01-01 81137
2007-01-01 82641
2008-01-01 87735
2009-01-01 81170
2010-01-01 82196
2011-01-01 87505
2012-01-01 86005
2013-01-01 90311
2014-01-01 91131
2015-01-01 92912
2016-01-01 91815
2017-01-01 102498
2018-01-01 104649
2019-01-01 106246
2020-01-01 105236
2021-01-01 105511
2022-01-01 116858

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