Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Winchester City, VA
Series ID MHICILBVA51840A052NCEN
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 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
1993-01-01 26352
1994-01-01 .
1995-01-01 28645
1996-01-01 .
1997-01-01 30432
1998-01-01 32227
1999-01-01 32465
2000-01-01 34143
2001-01-01 34546
2002-01-01 35147
2003-01-01 34993
2004-01-01 36751
2005-01-01 36478
2006-01-01 36470
2007-01-01 40709
2008-01-01 42938
2009-01-01 39320
2010-01-01 37371
2011-01-01 38817
2012-01-01 38754
2013-01-01 40860
2014-01-01 40470
2015-01-01 43535
2016-01-01 41761
2017-01-01 44861
2018-01-01 46691
2019-01-01 55311
2020-01-01 50567
2021-01-01 51403
2022-01-01 55099
2023-01-01 56187

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