Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Worcester County, MD
Series ID MHICIUBMD24047A052NCEN
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 27238
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30656
1994-01-01 .
1995-01-01 33116
1996-01-01 .
1997-01-01 35694
1998-01-01 37435
1999-01-01 40455
2000-01-01 43229
2001-01-01 42409
2002-01-01 43283
2003-01-01 44810
2004-01-01 46365
2005-01-01 49723
2006-01-01 51354
2007-01-01 53389
2008-01-01 53769
2009-01-01 51508
2010-01-01 58999
2011-01-01 53125
2012-01-01 58420
2013-01-01 55696
2014-01-01 58944
2015-01-01 56883
2016-01-01 57794
2017-01-01 65517
2018-01-01 63683
2019-01-01 69609
2020-01-01 68141
2021-01-01 75521
2022-01-01 83084

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