Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rappahannock County, VA
Series ID MHICIUBVA51157A052NCEN
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 3:11 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 33368
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38553
1994-01-01 .
1995-01-01 41479
1996-01-01 .
1997-01-01 43275
1998-01-01 45736
1999-01-01 47634
2000-01-01 51402
2001-01-01 50208
2002-01-01 52130
2003-01-01 53393
2004-01-01 56559
2005-01-01 56137
2006-01-01 60664
2007-01-01 66405
2008-01-01 66626
2009-01-01 61657
2010-01-01 62715
2011-01-01 65444
2012-01-01 63045
2013-01-01 66946
2014-01-01 68982
2015-01-01 68615
2016-01-01 71642
2017-01-01 75535
2018-01-01 78530
2019-01-01 87486
2020-01-01 88683
2021-01-01 90053
2022-01-01 96239
2023-01-01 99567

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