NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Iron County, WI Series ID: MHICIUBWI55051A052NCEN 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 1:09 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 19347 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23430 1994-01-01 . 1995-01-01 28231 1996-01-01 . 1997-01-01 29590 1998-01-01 31211 1999-01-01 31495 2000-01-01 33291 2001-01-01 32590 2002-01-01 33549 2003-01-01 34154 2004-01-01 35415 2005-01-01 37742 2006-01-01 36788 2007-01-01 39567 2008-01-01 38495 2009-01-01 37205 2010-01-01 38733 2011-01-01 41411 2012-01-01 41793 2013-01-01 40773 2014-01-01 42575 2015-01-01 45888 2016-01-01 45715 2017-01-01 44913 2018-01-01 48496 2019-01-01 52944 2020-01-01 53761 2021-01-01 56198 2022-01-01 64834