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 Lake County, MN Series ID: MHICILBMN27075A052NCEN 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 20213 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26355 1994-01-01 . 1995-01-01 29525 1996-01-01 . 1997-01-01 32402 1998-01-01 34189 1999-01-01 36463 2000-01-01 38075 2001-01-01 37345 2002-01-01 39016 2003-01-01 41008 2004-01-01 42562 2005-01-01 39790 2006-01-01 41261 2007-01-01 42657 2008-01-01 44965 2009-01-01 44774 2010-01-01 43157 2011-01-01 44445 2012-01-01 45078 2013-01-01 45914 2014-01-01 47557 2015-01-01 48541 2016-01-01 58120 2017-01-01 50468 2018-01-01 55359 2019-01-01 54882 2020-01-01 57075 2021-01-01 61600 2022-01-01 68319