Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Adams County, WI Series ID: MHICIUBWI55001A052NCEN 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 23014 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26972 1994-01-01 . 1995-01-01 31462 1996-01-01 . 1997-01-01 33395 1998-01-01 34706 1999-01-01 34765 2000-01-01 36485 2001-01-01 35388 2002-01-01 36308 2003-01-01 37368 2004-01-01 38001 2005-01-01 40091 2006-01-01 39820 2007-01-01 41336 2008-01-01 40548 2009-01-01 41593 2010-01-01 44886 2011-01-01 43594 2012-01-01 45337 2013-01-01 46438 2014-01-01 44848 2015-01-01 45998 2016-01-01 45646 2017-01-01 48824 2018-01-01 46234 2019-01-01 57890 2020-01-01 57094 2021-01-01 58242