Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Prince William County, VA
Series ID MHICILBVA51153A052NCEN
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 2:32 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 52382
1994-01-01 .
1995-01-01 52149
1996-01-01 .
1997-01-01 55706
1998-01-01 58539
1999-01-01 59118
2000-01-01 62745
2001-01-01 63724
2002-01-01 65938
2003-01-01 68525
2004-01-01 70696
2005-01-01 78118
2006-01-01 78432
2007-01-01 82960
2008-01-01 84809
2009-01-01 85281
2010-01-01 87816
2011-01-01 88587
2012-01-01 90200
2013-01-01 89279
2014-01-01 89272
2015-01-01 96992
2016-01-01 94642
2017-01-01 97398
2018-01-01 101973
2019-01-01 102149
2020-01-01 106637
2021-01-01 111580
2022-01-01 113796
2023-01-01 123820

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