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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hyde County, NC
Series ID MHICILBNC37095A052NCEN
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 1:54 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 14240
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17182
1994-01-01 .
1995-01-01 17140
1996-01-01 .
1997-01-01 20461
1998-01-01 21385
1999-01-01 24008
2000-01-01 25713
2001-01-01 24894
2002-01-01 24800
2003-01-01 25697
2004-01-01 26390
2005-01-01 28994
2006-01-01 28543
2007-01-01 29181
2008-01-01 31307
2009-01-01 29793
2010-01-01 32004
2011-01-01 32381
2012-01-01 31880
2013-01-01 33146
2014-01-01 33021
2015-01-01 33180
2016-01-01 33727
2017-01-01 36873
2018-01-01 36177
2019-01-01 37905
2020-01-01 39965
2021-01-01 40076
2022-01-01 41981

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