Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for King and Queen County, VA
Series ID MHICILBVA51097A052NCEN
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 3:12 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 19650
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24429
1994-01-01 .
1995-01-01 27198
1996-01-01 .
1997-01-01 29483
1998-01-01 30787
1999-01-01 32185
2000-01-01 33516
2001-01-01 32752
2002-01-01 32829
2003-01-01 34160
2004-01-01 35465
2005-01-01 35992
2006-01-01 36873
2007-01-01 38940
2008-01-01 42211
2009-01-01 37949
2010-01-01 40236
2011-01-01 40907
2012-01-01 41235
2013-01-01 40234
2014-01-01 41809
2015-01-01 42653
2016-01-01 48479
2017-01-01 45647
2018-01-01 45522
2019-01-01 47580
2020-01-01 51745
2021-01-01 52452
2022-01-01 54419
2023-01-01 58882

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