Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, WI
Series ID MHICIUBWI55131A052NCEN
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 3:11 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 39704
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 47081
1994-01-01 .
1995-01-01 53073
1996-01-01 .
1997-01-01 56987
1998-01-01 59965
1999-01-01 61163
2000-01-01 64255
2001-01-01 63743
2002-01-01 64646
2003-01-01 64734
2004-01-01 66312
2005-01-01 64461
2006-01-01 61376
2007-01-01 68916
2008-01-01 67697
2009-01-01 64273
2010-01-01 65002
2011-01-01 71298
2012-01-01 70883
2013-01-01 70293
2014-01-01 72698
2015-01-01 74201
2016-01-01 78746
2017-01-01 80599
2018-01-01 80394
2019-01-01 86918
2020-01-01 86336
2021-01-01 91043
2022-01-01 95708
2023-01-01 98121

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