Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wisconsin

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wisconsin
Series ID MHICILBWI55000A052NCEN
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 11:51 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 27945
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30930
1994-01-01 .
1995-01-01 35836
1996-01-01 36502
1997-01-01 37972
1998-01-01 40286
1999-01-01 41744
2000-01-01 42693
2001-01-01 43979
2002-01-01 43639
2003-01-01 45103
2004-01-01 44680
2005-01-01 46758
2006-01-01 48357
2007-01-01 50210
2008-01-01 51749
2009-01-01 49598
2010-01-01 48492
2011-01-01 49981
2012-01-01 50745
2013-01-01 51108
2014-01-01 52206
2015-01-01 55199
2016-01-01 56269
2017-01-01 58725
2018-01-01 60392
2019-01-01 63584
2020-01-01 64276
2021-01-01 66549
2022-01-01 70412
2023-01-01 73907
2024-01-01 76672

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