Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chesapeake City, VA
Series ID MHICIUBVA51550A052NCEN
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 36471
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 42996
1994-01-01 .
1995-01-01 46965
1996-01-01 .
1997-01-01 48483
1998-01-01 50934
1999-01-01 51533
2000-01-01 54702
2001-01-01 54145
2002-01-01 55915
2003-01-01 57456
2004-01-01 59710
2005-01-01 62451
2006-01-01 63958
2007-01-01 66196
2008-01-01 69938
2009-01-01 67112
2010-01-01 70423
2011-01-01 68842
2012-01-01 68131
2013-01-01 69910
2014-01-01 68503
2015-01-01 70785
2016-01-01 75645
2017-01-01 78971
2018-01-01 82255
2019-01-01 82059
2020-01-01 85876
2021-01-01 91742
2022-01-01 92184
2023-01-01 96679

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