Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Virginia

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Virginia
Series ID MHICILBVA51000A052NCEN
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 31361
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33571
1994-01-01 .
1995-01-01 34805
1996-01-01 36550
1997-01-01 38335
1998-01-01 40776
1999-01-01 43437
2000-01-01 44940
2001-01-01 46558
2002-01-01 46359
2003-01-01 48247
2004-01-01 49587
2005-01-01 53694
2006-01-01 55855
2007-01-01 59012
2008-01-01 60781
2009-01-01 58904
2010-01-01 60222
2011-01-01 61383
2012-01-01 61379
2013-01-01 62101
2014-01-01 64318
2015-01-01 65730
2016-01-01 67404
2017-01-01 70983
2018-01-01 71931
2019-01-01 75649
2020-01-01 78336
2021-01-01 80203
2022-01-01 85086
2023-01-01 88915

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