Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grant County, WI Series ID: MHICIUBWI55043A052NCEN 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 (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 26222 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31468 1994-01-01 . 1995-01-01 33969 1996-01-01 . 1997-01-01 36855 1998-01-01 38393 1999-01-01 38037 2000-01-01 40294 2001-01-01 39591 2002-01-01 39757 2003-01-01 40254 2004-01-01 42318 2005-01-01 42327 2006-01-01 42417 2007-01-01 45036 2008-01-01 48228 2009-01-01 44883 2010-01-01 44613 2011-01-01 48840 2012-01-01 48632 2013-01-01 48771 2014-01-01 49734 2015-01-01 53202 2016-01-01 50149 2017-01-01 53379 2018-01-01 61214 2019-01-01 60192 2020-01-01 59800 2021-01-01 61708 2022-01-01 67841