Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pamlico County, NC
Series ID MHICIUBNC37137A052NCEN
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 2:31 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 21940
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26313
1994-01-01 .
1995-01-01 29426
1996-01-01 .
1997-01-01 31701
1998-01-01 33085
1999-01-01 34280
2000-01-01 36664
2001-01-01 35374
2002-01-01 35279
2003-01-01 35972
2004-01-01 37485
2005-01-01 39003
2006-01-01 38416
2007-01-01 44509
2008-01-01 46492
2009-01-01 43969
2010-01-01 45238
2011-01-01 45075
2012-01-01 44201
2013-01-01 47183
2014-01-01 47525
2015-01-01 44559
2016-01-01 48455
2017-01-01 53192
2018-01-01 51307
2019-01-01 58076
2020-01-01 56845
2021-01-01 59555
2022-01-01 66711
2023-01-01 69263

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