Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Prince William County, VA
Series ID MHICIUBVA51153A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 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
1993-01-01 57258
1994-01-01 .
1995-01-01 58387
1996-01-01 .
1997-01-01 62435
1998-01-01 65516
1999-01-01 67362
2000-01-01 72543
2001-01-01 72936
2002-01-01 75496
2003-01-01 77718
2004-01-01 80208
2005-01-01 83926
2006-01-01 82720
2007-01-01 89628
2008-01-01 91136
2009-01-01 92365
2010-01-01 94764
2011-01-01 97615
2012-01-01 95822
2013-01-01 98063
2014-01-01 94500
2015-01-01 101420
2016-01-01 100456
2017-01-01 103464
2018-01-01 110427
2019-01-01 110267
2020-01-01 115597
2021-01-01 121128
2022-01-01 124306
2023-01-01 133696

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