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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fluvanna County, VA
Series ID MHICIUBVA51065A052NCEN
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 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
1989-01-01 28973
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36469
1994-01-01 .
1995-01-01 42971
1996-01-01 .
1997-01-01 43253
1998-01-01 46331
1999-01-01 47338
2000-01-01 50295
2001-01-01 49412
2002-01-01 50532
2003-01-01 52655
2004-01-01 56679
2005-01-01 56931
2006-01-01 61584
2007-01-01 61381
2008-01-01 70621
2009-01-01 73445
2010-01-01 68823
2011-01-01 68060
2012-01-01 68633
2013-01-01 68430
2014-01-01 70035
2015-01-01 71041
2016-01-01 75144
2017-01-01 76250
2018-01-01 80178
2019-01-01 81622
2020-01-01 89519
2021-01-01 84621
2022-01-01 96884

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