Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carteret County, NC
Series ID MHICILBNC37031A052NCEN
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 2:32 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 21360
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25946
1994-01-01 .
1995-01-01 28648
1996-01-01 .
1997-01-01 31228
1998-01-01 32290
1999-01-01 34310
2000-01-01 35958
2001-01-01 35382
2002-01-01 35635
2003-01-01 36743
2004-01-01 37969
2005-01-01 39575
2006-01-01 41541
2007-01-01 43116
2008-01-01 46296
2009-01-01 40763
2010-01-01 40123
2011-01-01 41947
2012-01-01 46469
2013-01-01 43246
2014-01-01 45984
2015-01-01 47546
2016-01-01 47979
2017-01-01 50315
2018-01-01 52153
2019-01-01 56628
2020-01-01 58133
2021-01-01 59852
2022-01-01 62660
2023-01-01 71137

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