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 Blackford County, IN Series ID: MHICILBIN18009A052NCEN 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 22495 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26559 1994-01-01 . 1995-01-01 28634 1996-01-01 . 1997-01-01 32073 1998-01-01 32950 1999-01-01 32751 2000-01-01 33762 2001-01-01 33227 2002-01-01 33563 2003-01-01 34165 2004-01-01 34312 2005-01-01 34278 2006-01-01 34856 2007-01-01 37375 2008-01-01 35151 2009-01-01 34594 2010-01-01 36035 2011-01-01 34866 2012-01-01 35776 2013-01-01 36067 2014-01-01 36061 2015-01-01 35899 2016-01-01 38362 2017-01-01 39135 2018-01-01 40658 2019-01-01 41280 2020-01-01 41877 2021-01-01 41903 2022-01-01 48877