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

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Title 90% Confidence Interval Lower 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 1:54 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 20894
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24355
1994-01-01 .
1995-01-01 25363
1996-01-01 .
1997-01-01 27275
1998-01-01 28114
1999-01-01 29704
2000-01-01 31398
2001-01-01 30773
2002-01-01 30719
2003-01-01 31744
2004-01-01 32606
2005-01-01 33073
2006-01-01 34757
2007-01-01 35214
2008-01-01 36403
2009-01-01 37172
2010-01-01 34173
2011-01-01 35046
2012-01-01 35538
2013-01-01 38901
2014-01-01 36782
2015-01-01 39223
2016-01-01 37604
2017-01-01 40860
2018-01-01 40289
2019-01-01 38586
2020-01-01 38710
2021-01-01 44677
2022-01-01 47460

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