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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mecklenburg County, VA
Series ID MHICIUBVA51117A052NCEN
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 7:01 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 22646
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25643
1994-01-01 .
1995-01-01 29109
1996-01-01 .
1997-01-01 30828
1998-01-01 32045
1999-01-01 31696
2000-01-01 33988
2001-01-01 32632
2002-01-01 32479
2003-01-01 32899
2004-01-01 33868
2005-01-01 34245
2006-01-01 37414
2007-01-01 39660
2008-01-01 40202
2009-01-01 37702
2010-01-01 38203
2011-01-01 39693
2012-01-01 40517
2013-01-01 41461
2014-01-01 41995
2015-01-01 36508
2016-01-01 48703
2017-01-01 46234
2018-01-01 48926
2019-01-01 47712
2020-01-01 54257
2021-01-01 52459
2022-01-01 57934
2023-01-01 58824
2024-01-01 64891

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