Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Buena Vista City, VA

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Buena Vista City, VA
Series ID MHICILBVA51530A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 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
1993-01-01 23461
1994-01-01 .
1995-01-01 25784
1996-01-01 .
1997-01-01 28296
1998-01-01 29277
1999-01-01 29950
2000-01-01 31372
2001-01-01 30797
2002-01-01 31334
2003-01-01 31760
2004-01-01 32857
2005-01-01 35634
2006-01-01 34537
2007-01-01 34522
2008-01-01 35646
2009-01-01 38929
2010-01-01 34060
2011-01-01 31193
2012-01-01 32677
2013-01-01 33244
2014-01-01 34306
2015-01-01 34923
2016-01-01 34758
2017-01-01 38244
2018-01-01 38584
2019-01-01 39239
2020-01-01 41260
2021-01-01 41294
2022-01-01 45039
2023-01-01 47271
2024-01-01 50470

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