Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Northampton County, NC
Series ID MHICIUBNC37131A052NCEN
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 3:11 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 19039
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22691
1994-01-01 .
1995-01-01 25682
1996-01-01 .
1997-01-01 27423
1998-01-01 29736
1999-01-01 27687
2000-01-01 29602
2001-01-01 28352
2002-01-01 28102
2003-01-01 28997
2004-01-01 30522
2005-01-01 32088
2006-01-01 29042
2007-01-01 36422
2008-01-01 33987
2009-01-01 33984
2010-01-01 34769
2011-01-01 34592
2012-01-01 34013
2013-01-01 34765
2014-01-01 34678
2015-01-01 36549
2016-01-01 38626
2017-01-01 40082
2018-01-01 40537
2019-01-01 43867
2020-01-01 47196
2021-01-01 45074
2022-01-01 54476
2023-01-01 48498

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