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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McDowell County, NC
Series ID MHICIUBNC37111A052NCEN
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 24994
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29067
1994-01-01 .
1995-01-01 32640
1996-01-01 .
1997-01-01 34021
1998-01-01 35896
1999-01-01 34135
2000-01-01 35470
2001-01-01 33988
2002-01-01 33648
2003-01-01 34006
2004-01-01 35395
2005-01-01 38263
2006-01-01 38732
2007-01-01 39401
2008-01-01 40361
2009-01-01 38943
2010-01-01 37088
2011-01-01 38911
2012-01-01 39322
2013-01-01 40249
2014-01-01 41236
2015-01-01 40824
2016-01-01 44958
2017-01-01 46637
2018-01-01 48204
2019-01-01 51050
2020-01-01 51459
2021-01-01 54732
2022-01-01 59648

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