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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Haywood County, NC
Series ID MHICIUBNC37087A052NCEN
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 1:10 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 25170
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28480
1994-01-01 .
1995-01-01 31355
1996-01-01 .
1997-01-01 34086
1998-01-01 35233
1999-01-01 35156
2000-01-01 37268
2001-01-01 35995
2002-01-01 36209
2003-01-01 37001
2004-01-01 38570
2005-01-01 38939
2006-01-01 39907
2007-01-01 43056
2008-01-01 41440
2009-01-01 43508
2010-01-01 43491
2011-01-01 42750
2012-01-01 43331
2013-01-01 42632
2014-01-01 46364
2015-01-01 47401
2016-01-01 48923
2017-01-01 51729
2018-01-01 51246
2019-01-01 56932
2020-01-01 54269
2021-01-01 57108
2022-01-01 68297

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