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 Hancock County, OH Series ID: MHICILBOH39063A052NCEN 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 29251 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34173 1994-01-01 . 1995-01-01 34716 1996-01-01 . 1997-01-01 37896 1998-01-01 39465 1999-01-01 40479 2000-01-01 42102 2001-01-01 41634 2002-01-01 41722 2003-01-01 42289 2004-01-01 43296 2005-01-01 43340 2006-01-01 43547 2007-01-01 46396 2008-01-01 48730 2009-01-01 44834 2010-01-01 46562 2011-01-01 45171 2012-01-01 46285 2013-01-01 45535 2014-01-01 49206 2015-01-01 51981 2016-01-01 51548 2017-01-01 50753 2018-01-01 57412 2019-01-01 57851 2020-01-01 55924 2021-01-01 60751 2022-01-01 65849