Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Winchester City, VA
Series ID MHICIUBVA51840A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 PM 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 30865
1994-01-01 .
1995-01-01 34872
1996-01-01 .
1997-01-01 36627
1998-01-01 38400
1999-01-01 37006
2000-01-01 39770
2001-01-01 39865
2002-01-01 40616
2003-01-01 39708
2004-01-01 41688
2005-01-01 43393
2006-01-01 42591
2007-01-01 48907
2008-01-01 50238
2009-01-01 45478
2010-01-01 44645
2011-01-01 46261
2012-01-01 45856
2013-01-01 47026
2014-01-01 48604
2015-01-01 51823
2016-01-01 50425
2017-01-01 54315
2018-01-01 56221
2019-01-01 65197
2020-01-01 66023
2021-01-01 60413
2022-01-01 66015

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