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 Red Lake County, MN Series ID: MHICIUBMN27125A052NCEN 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 1:11 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 22841 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27576 1994-01-01 . 1995-01-01 29618 1996-01-01 . 1997-01-01 32201 1998-01-01 33346 1999-01-01 34162 2000-01-01 36889 2001-01-01 35750 2002-01-01 36107 2003-01-01 38243 2004-01-01 38788 2005-01-01 38864 2006-01-01 42844 2007-01-01 43625 2008-01-01 46610 2009-01-01 45460 2010-01-01 48216 2011-01-01 48726 2012-01-01 49291 2013-01-01 49149 2014-01-01 52703 2015-01-01 56702 2016-01-01 56011 2017-01-01 57334 2018-01-01 60226 2019-01-01 64101 2020-01-01 75692 2021-01-01 62166 2022-01-01 81409