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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Forsyth County, NC
Series ID MHICIUBNC37067A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:03 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 32605
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36435
1994-01-01 .
1995-01-01 39377
1996-01-01 .
1997-01-01 42390
1998-01-01 43944
1999-01-01 43571
2000-01-01 45877
2001-01-01 44693
2002-01-01 43735
2003-01-01 43870
2004-01-01 45106
2005-01-01 47212
2006-01-01 47323
2007-01-01 49020
2008-01-01 49011
2009-01-01 47430
2010-01-01 46681
2011-01-01 45929
2012-01-01 44639
2013-01-01 48374
2014-01-01 48232
2015-01-01 49712
2016-01-01 51251
2017-01-01 53025
2018-01-01 52398
2019-01-01 55828
2020-01-01 60110
2021-01-01 62988
2022-01-01 66083
2023-01-01 68372
2024-01-01 72046

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