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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tyrrell County, NC
Series ID MHICIUBNC37177A052NCEN
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 7:03 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 19003
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21381
1994-01-01 .
1995-01-01 22753
1996-01-01 .
1997-01-01 24734
1998-01-01 25230
1999-01-01 25597
2000-01-01 27931
2001-01-01 27055
2002-01-01 26456
2003-01-01 27591
2004-01-01 27947
2005-01-01 29998
2006-01-01 32293
2007-01-01 33060
2008-01-01 34932
2009-01-01 33181
2010-01-01 34131
2011-01-01 36604
2012-01-01 33740
2013-01-01 35747
2014-01-01 36304
2015-01-01 36737
2016-01-01 37360
2017-01-01 39155
2018-01-01 40697
2019-01-01 42205
2020-01-01 48699
2021-01-01 44965
2022-01-01 47896
2023-01-01 52096
2024-01-01 55840

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