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 Warren County, IN Series ID: MHICILBIN18171A052NCEN 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 23704 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29091 1994-01-01 . 1995-01-01 30127 1996-01-01 . 1997-01-01 33015 1998-01-01 35553 1999-01-01 37566 2000-01-01 39643 2001-01-01 39840 2002-01-01 39415 2003-01-01 40751 2004-01-01 43637 2005-01-01 44112 2006-01-01 40737 2007-01-01 44910 2008-01-01 48367 2009-01-01 46311 2010-01-01 45595 2011-01-01 45152 2012-01-01 48835 2013-01-01 49671 2014-01-01 50482 2015-01-01 52362 2016-01-01 50740 2017-01-01 51992 2018-01-01 54050 2019-01-01 57207 2020-01-01 58899 2021-01-01 56452 2022-01-01 66463