Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Northampton County, VA
Series ID MHICIUBVA51131A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 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 18339
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22492
1994-01-01 .
1995-01-01 24076
1996-01-01 .
1997-01-01 26110
1998-01-01 26859
1999-01-01 28214
2000-01-01 30635
2001-01-01 29816
2002-01-01 30163
2003-01-01 31464
2004-01-01 33979
2005-01-01 35049
2006-01-01 35600
2007-01-01 37211
2008-01-01 37680
2009-01-01 38071
2010-01-01 38587
2011-01-01 39042
2012-01-01 34708
2013-01-01 39796
2014-01-01 40576
2015-01-01 41002
2016-01-01 43196
2017-01-01 44960
2018-01-01 47640
2019-01-01 49626
2020-01-01 56536
2021-01-01 56841
2022-01-01 59234

Subscribe to the FRED newsletter


Follow us

Back to Top