Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Newport News City, VA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Newport News City, VA
Series ID MHICIUBVA51700A052NCEN
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 30995
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33362
1994-01-01 .
1995-01-01 35840
1996-01-01 .
1997-01-01 37332
1998-01-01 38638
1999-01-01 37370
2000-01-01 40203
2001-01-01 39388
2002-01-01 39904
2003-01-01 40836
2004-01-01 42077
2005-01-01 46634
2006-01-01 45616
2007-01-01 47334
2008-01-01 51025
2009-01-01 50411
2010-01-01 51567
2011-01-01 50132
2012-01-01 48822
2013-01-01 50370
2014-01-01 51272
2015-01-01 50983
2016-01-01 52228
2017-01-01 52135
2018-01-01 52987
2019-01-01 56398
2020-01-01 62820
2021-01-01 61523
2022-01-01 66230
2023-01-01 68319

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