Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Arlington County, VA
Series ID MHICIUBVA51013A052NCEN
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 2:30 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 44275
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 49972
1994-01-01 .
1995-01-01 54170
1996-01-01 .
1997-01-01 60337
1998-01-01 63709
1999-01-01 66393
2000-01-01 71027
2001-01-01 71560
2002-01-01 71977
2003-01-01 71633
2004-01-01 71117
2005-01-01 80762
2006-01-01 87910
2007-01-01 96069
2008-01-01 101940
2009-01-01 97439
2010-01-01 97416
2011-01-01 103218
2012-01-01 102402
2013-01-01 104690
2014-01-01 111128
2015-01-01 109540
2016-01-01 112953
2017-01-01 120031
2018-01-01 124602
2019-01-01 122854
2020-01-01 129705
2021-01-01 129099
2022-01-01 136749
2023-01-01 143979

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