Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Manassas Park City, VA
Series ID MHICIUBVA51685A052NCEN
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 1:09 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 44464
1994-01-01 .
1995-01-01 46241
1996-01-01 .
1997-01-01 47976
1998-01-01 49133
1999-01-01 58895
2000-01-01 65472
2001-01-01 67775
2002-01-01 68825
2003-01-01 66904
2004-01-01 69243
2005-01-01 69559
2006-01-01 73858
2007-01-01 68980
2008-01-01 77071
2009-01-01 78104
2010-01-01 74467
2011-01-01 78012
2012-01-01 75326
2013-01-01 78888
2014-01-01 79195
2015-01-01 82757
2016-01-01 82157
2017-01-01 88894
2018-01-01 85230
2019-01-01 92745
2020-01-01 92785
2021-01-01 97216
2022-01-01 101434

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