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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rappahannock County, VA
Series ID MHICILBVA51157A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:07 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
1989-01-01 28683
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33978
1994-01-01 .
1995-01-01 35320
1996-01-01 .
1997-01-01 37052
1998-01-01 39522
1999-01-01 41888
2000-01-01 44260
2001-01-01 43779
2002-01-01 45410
2003-01-01 47070
2004-01-01 49781
2005-01-01 48252
2006-01-01 50493
2007-01-01 54675
2008-01-01 54602
2009-01-01 50842
2010-01-01 52283
2011-01-01 53110
2012-01-01 53507
2013-01-01 54944
2014-01-01 56618
2015-01-01 56843
2016-01-01 58914
2017-01-01 60797
2018-01-01 63540
2019-01-01 70686
2020-01-01 64585
2021-01-01 70143
2022-01-01 74911
2023-01-01 76907
2024-01-01 72620

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