Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sauk County, WI
Series ID MHICIUBWI55111A052NCEN
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 1:51 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 28758
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34143
1994-01-01 .
1995-01-01 37980
1996-01-01 .
1997-01-01 40542
1998-01-01 42662
1999-01-01 44124
2000-01-01 47078
2001-01-01 45898
2002-01-01 46174
2003-01-01 47338
2004-01-01 49559
2005-01-01 48700
2006-01-01 48673
2007-01-01 50560
2008-01-01 54580
2009-01-01 53858
2010-01-01 50481
2011-01-01 51685
2012-01-01 55183
2013-01-01 54068
2014-01-01 54019
2015-01-01 54116
2016-01-01 60979
2017-01-01 62423
2018-01-01 60610
2019-01-01 67619
2020-01-01 69496
2021-01-01 74601
2022-01-01 74884

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