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 Ashtabula County, OH Series ID: MHICILBOH39007A052NCEN 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 1:12 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 22044 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24923 1994-01-01 . 1995-01-01 26771 1996-01-01 . 1997-01-01 29319 1998-01-01 30696 1999-01-01 32402 2000-01-01 33363 2001-01-01 32569 2002-01-01 32736 2003-01-01 33835 2004-01-01 35421 2005-01-01 35143 2006-01-01 35970 2007-01-01 37716 2008-01-01 38794 2009-01-01 36680 2010-01-01 36179 2011-01-01 36161 2012-01-01 35281 2013-01-01 39049 2014-01-01 37438 2015-01-01 42113 2016-01-01 40842 2017-01-01 41553 2018-01-01 43263 2019-01-01 42951 2020-01-01 46122 2021-01-01 45051 2022-01-01 49714