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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Volusia County, FL
Series ID MHICILBFL12127A052NCEN
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 1:54 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 19938
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24185
1994-01-01 .
1995-01-01 25569
1996-01-01 .
1997-01-01 27039
1998-01-01 28472
1999-01-01 31057
2000-01-01 32919
2001-01-01 32565
2002-01-01 32808
2003-01-01 34017
2004-01-01 35095
2005-01-01 37283
2006-01-01 39740
2007-01-01 40792
2008-01-01 44286
2009-01-01 40083
2010-01-01 39942
2011-01-01 36639
2012-01-01 38929
2013-01-01 39865
2014-01-01 39563
2015-01-01 40670
2016-01-01 43585
2017-01-01 45122
2018-01-01 49088
2019-01-01 51240
2020-01-01 52265
2021-01-01 56425
2022-01-01 62394

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