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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jackson County, NC
Series ID MHICIUBNC37099A052NCEN
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 24280
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27785
1994-01-01 .
1995-01-01 30972
1996-01-01 .
1997-01-01 32855
1998-01-01 34554
1999-01-01 33616
2000-01-01 35609
2001-01-01 34217
2002-01-01 34363
2003-01-01 35102
2004-01-01 36149
2005-01-01 40507
2006-01-01 40472
2007-01-01 42362
2008-01-01 45438
2009-01-01 41348
2010-01-01 38399
2011-01-01 40655
2012-01-01 40498
2013-01-01 44125
2014-01-01 41634
2015-01-01 45473
2016-01-01 47911
2017-01-01 50896
2018-01-01 47041
2019-01-01 52438
2020-01-01 56709
2021-01-01 55979
2022-01-01 65301
2023-01-01 61253
2024-01-01 67705

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