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 Morrison County, MN Series ID: MHICILBMN27097A052NCEN 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 19745 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24526 1994-01-01 . 1995-01-01 25747 1996-01-01 . 1997-01-01 27982 1998-01-01 29964 1999-01-01 33466 2000-01-01 35007 2001-01-01 34797 2002-01-01 35409 2003-01-01 36555 2004-01-01 38493 2005-01-01 41236 2006-01-01 45517 2007-01-01 42399 2008-01-01 42549 2009-01-01 41655 2010-01-01 40041 2011-01-01 42323 2012-01-01 45057 2013-01-01 45418 2014-01-01 48144 2015-01-01 51423 2016-01-01 47805 2017-01-01 52726 2018-01-01 54738 2019-01-01 57985 2020-01-01 56621 2021-01-01 58540 2022-01-01 59158