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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pamlico County, NC
Series ID MHICILBNC37137A052NCEN
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 7:09 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 17508
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21852
1994-01-01 .
1995-01-01 23314
1996-01-01 .
1997-01-01 25541
1998-01-01 26979
1999-01-01 30119
2000-01-01 31573
2001-01-01 30854
2002-01-01 30747
2003-01-01 31722
2004-01-01 33054
2005-01-01 32681
2006-01-01 33365
2007-01-01 37271
2008-01-01 38466
2009-01-01 35868
2010-01-01 37646
2011-01-01 37575
2012-01-01 37807
2013-01-01 39851
2014-01-01 38669
2015-01-01 37449
2016-01-01 39399
2017-01-01 43628
2018-01-01 41587
2019-01-01 46968
2020-01-01 44117
2021-01-01 47909
2022-01-01 52979
2023-01-01 54729
2024-01-01 55764

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