Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Onslow County, NC
Series ID MHICIUBNC37133A052NCEN
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 23969
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28532
1994-01-01 .
1995-01-01 30405
1996-01-01 .
1997-01-01 33927
1998-01-01 34730
1999-01-01 33770
2000-01-01 36639
2001-01-01 36072
2002-01-01 36074
2003-01-01 35497
2004-01-01 37451
2005-01-01 41811
2006-01-01 40327
2007-01-01 43523
2008-01-01 48664
2009-01-01 43235
2010-01-01 43458
2011-01-01 48648
2012-01-01 46105
2013-01-01 48336
2014-01-01 50022
2015-01-01 48868
2016-01-01 50113
2017-01-01 52879
2018-01-01 52695
2019-01-01 54405
2020-01-01 57625
2021-01-01 59073
2022-01-01 65447

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