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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jones 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 21874
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25107
1994-01-01 .
1995-01-01 28287
1996-01-01 .
1997-01-01 30760
1998-01-01 30553
1999-01-01 30704
2000-01-01 33132
2001-01-01 32896
2002-01-01 32965
2003-01-01 33931
2004-01-01 35583
2005-01-01 36782
2006-01-01 38779
2007-01-01 41493
2008-01-01 42484
2009-01-01 38382
2010-01-01 41793
2011-01-01 41787
2012-01-01 38479
2013-01-01 42572
2014-01-01 43061
2015-01-01 43570
2016-01-01 42924
2017-01-01 46139
2018-01-01 47731
2019-01-01 50891
2020-01-01 51949
2021-01-01 53503
2022-01-01 60801

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