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 Winona County, MN Series ID: MHICIUBMN27169A052NCEN 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 1:52 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 29014 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 33479 1994-01-01 . 1995-01-01 36468 1996-01-01 . 1997-01-01 39378 1998-01-01 41419 1999-01-01 40743 2000-01-01 42651 2001-01-01 41494 2002-01-01 41346 2003-01-01 42127 2004-01-01 44003 2005-01-01 43661 2006-01-01 44295 2007-01-01 47630 2008-01-01 48005 2009-01-01 45590 2010-01-01 44627 2011-01-01 49854 2012-01-01 52628 2013-01-01 53296 2014-01-01 52606 2015-01-01 58286 2016-01-01 60294 2017-01-01 58520 2018-01-01 60611 2019-01-01 67539 2020-01-01 71684 2021-01-01 70666 2022-01-01 71185