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 Florence County, WI Series ID: MHICIUBWI55037A052NCEN 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 24056 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29521 1994-01-01 . 1995-01-01 33375 1996-01-01 . 1997-01-01 34374 1998-01-01 36620 1999-01-01 36569 2000-01-01 38936 2001-01-01 37697 2002-01-01 38687 2003-01-01 39378 2004-01-01 40801 2005-01-01 42332 2006-01-01 43662 2007-01-01 44230 2008-01-01 42579 2009-01-01 44949 2010-01-01 44945 2011-01-01 49470 2012-01-01 48628 2013-01-01 48468 2014-01-01 49074 2015-01-01 50824 2016-01-01 52567 2017-01-01 55782 2018-01-01 57952 2019-01-01 64231 2020-01-01 58203 2021-01-01 67819 2022-01-01 71625