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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, MN
Series ID MHICIUBMN27163A052NCEN
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 1:11 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 48323
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 55696
1994-01-01 .
1995-01-01 62785
1996-01-01 .
1997-01-01 65103
1998-01-01 68789
1999-01-01 71465
2000-01-01 74754
2001-01-01 74623
2002-01-01 75980
2003-01-01 76701
2004-01-01 79341
2005-01-01 77082
2006-01-01 78723
2007-01-01 81324
2008-01-01 82217
2009-01-01 78272
2010-01-01 80459
2011-01-01 79671
2012-01-01 83476
2013-01-01 83395
2014-01-01 87961
2015-01-01 92630
2016-01-01 94504
2017-01-01 96497
2018-01-01 100173
2019-01-01 104344
2020-01-01 106072
2021-01-01 109292
2022-01-01 112873

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