Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pierce County, WI Series ID: MHICIUBWI55093A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 9:57 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 31374 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 38109 1994-01-01 . 1995-01-01 42561 1996-01-01 . 1997-01-01 46750 1998-01-01 49385 1999-01-01 51509 2000-01-01 55010 2001-01-01 54281 2002-01-01 55157 2003-01-01 55594 2004-01-01 57401 2005-01-01 58050 2006-01-01 58325 2007-01-01 62124 2008-01-01 68906 2009-01-01 59273 2010-01-01 61011 2011-01-01 62213 2012-01-01 64405 2013-01-01 64779 2014-01-01 71794 2015-01-01 68276 2016-01-01 75209 2017-01-01 74648 2018-01-01 79852 2019-01-01 80651 2020-01-01 88463 2021-01-01 85479