Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for New Hanover County, NC
Series ID MHICIUBNC37129A052NCEN
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.
DATE VALUE
1989-01-01 28737
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32194
1994-01-01 .
1995-01-01 38056
1996-01-01 .
1997-01-01 41432
1998-01-01 42467
1999-01-01 41895
2000-01-01 43780
2001-01-01 42586
2002-01-01 42430
2003-01-01 42961
2004-01-01 44236
2005-01-01 46669
2006-01-01 46486
2007-01-01 51199
2008-01-01 52718
2009-01-01 46649
2010-01-01 48604
2011-01-01 48721
2012-01-01 53025
2013-01-01 51211
2014-01-01 52828
2015-01-01 54962
2016-01-01 55068
2017-01-01 57046
2018-01-01 56492
2019-01-01 60430
2020-01-01 71982
2021-01-01 69238
2022-01-01 75238

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