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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Currituck County, NC
Series ID MHICILBNC37053A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:08 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 23454
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28440
1994-01-01 .
1995-01-01 31811
1996-01-01 .
1997-01-01 33217
1998-01-01 35146
1999-01-01 36861
2000-01-01 38683
2001-01-01 38430
2002-01-01 39342
2003-01-01 41349
2004-01-01 44166
2005-01-01 44446
2006-01-01 45658
2007-01-01 49081
2008-01-01 50805
2009-01-01 46748
2010-01-01 49821
2011-01-01 51222
2012-01-01 50009
2013-01-01 52567
2014-01-01 52281
2015-01-01 62586
2016-01-01 52226
2017-01-01 56362
2018-01-01 58249
2019-01-01 63142
2020-01-01 64603
2021-01-01 76296
2022-01-01 68612
2023-01-01 77668
2024-01-01 86475

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