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 Clay County, IN Series ID: MHICIUBIN18021A052NCEN 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 1:53 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 26528 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30691 1994-01-01 . 1995-01-01 34478 1996-01-01 . 1997-01-01 36007 1998-01-01 37927 1999-01-01 38675 2000-01-01 41209 2001-01-01 39989 2002-01-01 40393 2003-01-01 41246 2004-01-01 42766 2005-01-01 43534 2006-01-01 44071 2007-01-01 46755 2008-01-01 48586 2009-01-01 45982 2010-01-01 45091 2011-01-01 48358 2012-01-01 47869 2013-01-01 49901 2014-01-01 48736 2015-01-01 52783 2016-01-01 54039 2017-01-01 54851 2018-01-01 57524 2019-01-01 60045 2020-01-01 64129 2021-01-01 69359 2022-01-01 62955