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 Geauga County, OH Series ID: MHICIUBOH39055A052NCEN 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 1:51 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 42317 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 47148 1994-01-01 . 1995-01-01 52480 1996-01-01 . 1997-01-01 55425 1998-01-01 57125 1999-01-01 61075 2000-01-01 64846 2001-01-01 64014 2002-01-01 63632 2003-01-01 63071 2004-01-01 65241 2005-01-01 71789 2006-01-01 68542 2007-01-01 72395 2008-01-01 64655 2009-01-01 65624 2010-01-01 67027 2011-01-01 70932 2012-01-01 74438 2013-01-01 74083 2014-01-01 74765 2015-01-01 81289 2016-01-01 83261 2017-01-01 87146 2018-01-01 90129 2019-01-01 84993 2020-01-01 94917 2021-01-01 97116 2022-01-01 109892