Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for New Hanover County, NC
Series ID MHICILBNC37129A052NCEN
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.
DATE VALUE
1989-01-01 24606
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27958
1994-01-01 .
1995-01-01 32308
1996-01-01 .
1997-01-01 35511
1998-01-01 36608
1999-01-01 36838
2000-01-01 37911
2001-01-01 37299
2002-01-01 37141
2003-01-01 38002
2004-01-01 39082
2005-01-01 42219
2006-01-01 41542
2007-01-01 45014
2008-01-01 49479
2009-01-01 42789
2010-01-01 43654
2011-01-01 43059
2012-01-01 48755
2013-01-01 46091
2014-01-01 46982
2015-01-01 49950
2016-01-01 47678
2017-01-01 50338
2018-01-01 50346
2019-01-01 54074
2020-01-01 59248
2021-01-01 63186
2022-01-01 66752

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