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 Lower Bound of Estimate of Median Household Income for Scott County, MN Series ID: MHICILBMN27139A052NCEN 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 1:54 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 37166 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 46115 1994-01-01 . 1995-01-01 52285 1996-01-01 . 1997-01-01 56290 1998-01-01 59835 1999-01-01 62191 2000-01-01 65086 2001-01-01 65694 2002-01-01 67754 2003-01-01 69515 2004-01-01 71417 2005-01-01 74295 2006-01-01 76216 2007-01-01 74989 2008-01-01 77299 2009-01-01 81108 2010-01-01 75034 2011-01-01 78194 2012-01-01 81225 2013-01-01 79952 2014-01-01 85807 2015-01-01 87995 2016-01-01 85631 2017-01-01 93060 2018-01-01 96957 2019-01-01 103983 2020-01-01 90903 2021-01-01 101378 2022-01-01 106666