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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Buncombe County, NC
Series ID MHICIUBNC37021A052NCEN
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 1:52 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 27028
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31522
1994-01-01 .
1995-01-01 35643
1996-01-01 .
1997-01-01 38000
1998-01-01 39615
1999-01-01 38373
2000-01-01 40339
2001-01-01 38933
2002-01-01 38849
2003-01-01 39566
2004-01-01 40106
2005-01-01 41916
2006-01-01 43027
2007-01-01 45528
2008-01-01 45674
2009-01-01 42950
2010-01-01 45415
2011-01-01 43300
2012-01-01 45503
2013-01-01 47989
2014-01-01 49180
2015-01-01 47386
2016-01-01 52106
2017-01-01 52499
2018-01-01 57020
2019-01-01 58742
2020-01-01 71415
2021-01-01 67211
2022-01-01 70935

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