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 Butler County, OH Series ID: MHICILBOH39017A052NCEN 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 29432 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 35232 1994-01-01 . 1995-01-01 38120 1996-01-01 . 1997-01-01 40682 1998-01-01 42510 1999-01-01 43392 2000-01-01 44963 2001-01-01 44151 2002-01-01 44581 2003-01-01 45175 2004-01-01 46955 2005-01-01 48068 2006-01-01 51484 2007-01-01 51107 2008-01-01 50856 2009-01-01 51202 2010-01-01 52284 2011-01-01 51232 2012-01-01 53448 2013-01-01 53345 2014-01-01 56387 2015-01-01 56010 2016-01-01 60771 2017-01-01 61867 2018-01-01 58818 2019-01-01 65878 2020-01-01 66159 2021-01-01 69942 2022-01-01 71908