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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wilson County, NC
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 1:51 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.
1989-01-01 25225
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28739
1994-01-01 .
1995-01-01 31049
1996-01-01 .
1997-01-01 33092
1998-01-01 33895
1999-01-01 33657
2000-01-01 36189
2001-01-01 35077
2002-01-01 35037
2003-01-01 35826
2004-01-01 36820
2005-01-01 37860
2006-01-01 39571
2007-01-01 41786
2008-01-01 42166
2009-01-01 41850
2010-01-01 39117
2011-01-01 39286
2012-01-01 39342
2013-01-01 42643
2014-01-01 41754
2015-01-01 43329
2016-01-01 45100
2017-01-01 48790
2018-01-01 47741
2019-01-01 46242
2020-01-01 49468
2021-01-01 52877
2022-01-01 55610

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