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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ashland County, WI
Series ID MHICIUBWI55003A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:01 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 22333
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26093
1994-01-01 .
1995-01-01 29759
1996-01-01 .
1997-01-01 32287
1998-01-01 34183
1999-01-01 33658
2000-01-01 35505
2001-01-01 34282
2002-01-01 35068
2003-01-01 35680
2004-01-01 36671
2005-01-01 34653
2006-01-01 39490
2007-01-01 38855
2008-01-01 42858
2009-01-01 39867
2010-01-01 39298
2011-01-01 38806
2012-01-01 42010
2013-01-01 41129
2014-01-01 44015
2015-01-01 43224
2016-01-01 46213
2017-01-01 48228
2018-01-01 48085
2019-01-01 51912
2020-01-01 56544
2021-01-01 58941
2022-01-01 62534
2023-01-01 57360
2024-01-01 67479

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