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 Porter County, IN Series ID: MHICIUBIN18127A052NCEN 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 1:10 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 39010 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 45632 1994-01-01 . 1995-01-01 51953 1996-01-01 . 1997-01-01 53515 1998-01-01 55862 1999-01-01 56246 2000-01-01 58774 2001-01-01 57907 2002-01-01 57441 2003-01-01 58265 2004-01-01 60539 2005-01-01 59810 2006-01-01 61289 2007-01-01 62062 2008-01-01 65261 2009-01-01 65350 2010-01-01 59197 2011-01-01 65950 2012-01-01 67544 2013-01-01 67664 2014-01-01 66946 2015-01-01 70850 2016-01-01 70986 2017-01-01 71597 2018-01-01 74184 2019-01-01 78886 2020-01-01 85700 2021-01-01 85274 2022-01-01 89556