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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Person County, NC
Series ID MHICIUBNC37145A052NCEN
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 26162
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29794
1994-01-01 .
1995-01-01 34789
1996-01-01 .
1997-01-01 36568
1998-01-01 37268
1999-01-01 38025
2000-01-01 40578
2001-01-01 39264
2002-01-01 39450
2003-01-01 39764
2004-01-01 40592
2005-01-01 42086
2006-01-01 46265
2007-01-01 46032
2008-01-01 48368
2009-01-01 46488
2010-01-01 46246
2011-01-01 45308
2012-01-01 45141
2013-01-01 45711
2014-01-01 49100
2015-01-01 48121
2016-01-01 51915
2017-01-01 55137
2018-01-01 54819
2019-01-01 59942
2020-01-01 66662
2021-01-01 61855
2022-01-01 67662

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