Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Loudoun County, VA
Series ID MHICILBVA51107A052NCEN
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 2:32 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
1989-01-01 49786
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 56800
1994-01-01 .
1995-01-01 60903
1996-01-01 .
1997-01-01 63867
1998-01-01 72115
1999-01-01 75202
2000-01-01 78310
2001-01-01 80558
2002-01-01 81338
2003-01-01 84544
2004-01-01 88275
2005-01-01 94614
2006-01-01 96587
2007-01-01 104123
2008-01-01 107325
2009-01-01 110593
2010-01-01 115358
2011-01-01 113516
2012-01-01 113462
2013-01-01 113875
2014-01-01 119393
2015-01-01 121160
2016-01-01 129929
2017-01-01 132736
2018-01-01 135638
2019-01-01 147503
2020-01-01 147770
2021-01-01 149197
2022-01-01 160031
2023-01-01 166719

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