Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, MD
Series ID MHICIUBMD24043A052NCEN
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 30768
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34207
1994-01-01 .
1995-01-01 37542
1996-01-01 .
1997-01-01 40239
1998-01-01 41993
1999-01-01 41766
2000-01-01 44507
2001-01-01 44008
2002-01-01 45285
2003-01-01 46657
2004-01-01 48176
2005-01-01 49915
2006-01-01 53697
2007-01-01 53569
2008-01-01 54132
2009-01-01 51237
2010-01-01 54937
2011-01-01 54956
2012-01-01 55240
2013-01-01 58642
2014-01-01 57559
2015-01-01 58726
2016-01-01 57587
2017-01-01 62715
2018-01-01 64882
2019-01-01 63518
2020-01-01 68153
2021-01-01 69622
2022-01-01 72985
2023-01-01 76850

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