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 Lake County, OH Series ID: MHICIUBOH39085A052NCEN 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 1:09 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 36357 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 41072 1994-01-01 . 1995-01-01 43114 1996-01-01 . 1997-01-01 46004 1998-01-01 48757 1999-01-01 49649 2000-01-01 52620 2001-01-01 51611 2002-01-01 51303 2003-01-01 51532 2004-01-01 53418 2005-01-01 50836 2006-01-01 53363 2007-01-01 57159 2008-01-01 60795 2009-01-01 55761 2010-01-01 55272 2011-01-01 55306 2012-01-01 57487 2013-01-01 58538 2014-01-01 61326 2015-01-01 62549 2016-01-01 63875 2017-01-01 63783 2018-01-01 68035 2019-01-01 68783 2020-01-01 73093 2021-01-01 76522 2022-01-01 81410