Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wicomico County, MD
Series ID MHICIUBMD24045A052NCEN
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 1:52 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 29695
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33110
1994-01-01 .
1995-01-01 36159
1996-01-01 .
1997-01-01 37893
1998-01-01 38649
1999-01-01 38866
2000-01-01 41656
2001-01-01 40544
2002-01-01 40964
2003-01-01 42668
2004-01-01 43800
2005-01-01 46902
2006-01-01 48975
2007-01-01 52941
2008-01-01 51560
2009-01-01 49662
2010-01-01 50799
2011-01-01 49370
2012-01-01 52161
2013-01-01 50703
2014-01-01 54161
2015-01-01 55046
2016-01-01 53745
2017-01-01 56428
2018-01-01 58384
2019-01-01 58695
2020-01-01 64546
2021-01-01 66096
2022-01-01 73292

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