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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Forsyth County, NC
Series ID MHICILBNC37067A052NCEN
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 1:11 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 28703
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32366
1994-01-01 .
1995-01-01 33913
1996-01-01 .
1997-01-01 36668
1998-01-01 38269
1999-01-01 38508
2000-01-01 39898
2001-01-01 39249
2002-01-01 38400
2003-01-01 38947
2004-01-01 40028
2005-01-01 43034
2006-01-01 44485
2007-01-01 44103
2008-01-01 45626
2009-01-01 44107
2010-01-01 42205
2011-01-01 41679
2012-01-01 41459
2013-01-01 43952
2014-01-01 43656
2015-01-01 44980
2016-01-01 46723
2017-01-01 48581
2018-01-01 47826
2019-01-01 50280
2020-01-01 52206
2021-01-01 57468
2022-01-01 59901

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