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 Perry County, IN Series ID: MHICILBIN18123A052NCEN 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 22068 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26406 1994-01-01 . 1995-01-01 28219 1996-01-01 . 1997-01-01 31276 1998-01-01 33169 1999-01-01 33701 2000-01-01 34857 2001-01-01 34369 2002-01-01 34823 2003-01-01 36293 2004-01-01 37072 2005-01-01 35997 2006-01-01 37698 2007-01-01 38713 2008-01-01 44738 2009-01-01 41626 2010-01-01 37753 2011-01-01 42309 2012-01-01 39823 2013-01-01 41487 2014-01-01 40920 2015-01-01 42675 2016-01-01 44016 2017-01-01 46116 2018-01-01 47744 2019-01-01 47947 2020-01-01 39218 2021-01-01 52404 2022-01-01 49131