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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Franklin County, NC
Series ID MHICIUBNC37069A052NCEN
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 23733
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29482
1994-01-01 .
1995-01-01 34280
1996-01-01 .
1997-01-01 36812
1998-01-01 38994
1999-01-01 39533
2000-01-01 42053
2001-01-01 41044
2002-01-01 40639
2003-01-01 42114
2004-01-01 42659
2005-01-01 41001
2006-01-01 44531
2007-01-01 48207
2008-01-01 49280
2009-01-01 46615
2010-01-01 47739
2011-01-01 45504
2012-01-01 45438
2013-01-01 42159
2014-01-01 50794
2015-01-01 51773
2016-01-01 53384
2017-01-01 58339
2018-01-01 61644
2019-01-01 62673
2020-01-01 60172
2021-01-01 70160
2022-01-01 75943

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