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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Polk County, WI
Series ID MHICILBWI55095A052NCEN
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 7:07 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 22250
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27109
1994-01-01 .
1995-01-01 29706
1996-01-01 .
1997-01-01 33167
1998-01-01 36056
1999-01-01 38338
2000-01-01 39829
2001-01-01 39460
2002-01-01 40507
2003-01-01 41712
2004-01-01 43685
2005-01-01 45043
2006-01-01 47605
2007-01-01 45776
2008-01-01 48058
2009-01-01 44328
2010-01-01 44562
2011-01-01 43770
2012-01-01 47036
2013-01-01 46018
2014-01-01 50184
2015-01-01 51678
2016-01-01 50153
2017-01-01 51527
2018-01-01 56495
2019-01-01 60562
2020-01-01 60028
2021-01-01 65224
2022-01-01 69331
2023-01-01 66176
2024-01-01 69041

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