Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carteret County, NC
Series ID MHICIUBNC37031A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 25848
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30443
1994-01-01 .
1995-01-01 34826
1996-01-01 .
1997-01-01 37452
1998-01-01 38413
1999-01-01 39074
2000-01-01 41713
2001-01-01 40531
2002-01-01 40853
2003-01-01 41640
2004-01-01 43035
2005-01-01 45656
2006-01-01 46810
2007-01-01 51012
2008-01-01 52589
2009-01-01 47309
2010-01-01 46589
2011-01-01 49067
2012-01-01 51391
2013-01-01 49208
2014-01-01 51664
2015-01-01 54128
2016-01-01 55135
2017-01-01 56069
2018-01-01 57951
2019-01-01 63488
2020-01-01 68817
2021-01-01 66440
2022-01-01 72952
2023-01-01 81657

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