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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rock County, WI
Series ID MHICILBWI55105A052NCEN
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 27434
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32270
1994-01-01 .
1995-01-01 36238
1996-01-01 .
1997-01-01 38722
1998-01-01 40119
1999-01-01 41229
2000-01-01 42710
2001-01-01 41933
2002-01-01 41948
2003-01-01 43107
2004-01-01 42960
2005-01-01 44567
2006-01-01 44878
2007-01-01 47035
2008-01-01 49767
2009-01-01 46265
2010-01-01 44958
2011-01-01 45610
2012-01-01 44621
2013-01-01 45527
2014-01-01 48390
2015-01-01 51119
2016-01-01 49202
2017-01-01 53075
2018-01-01 54812
2019-01-01 58586
2020-01-01 62238
2021-01-01 63256
2022-01-01 63718

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