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 Allegheny County, PA Series ID: MHICILBPA42003A052NCEN 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 27693 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30691 1994-01-01 . 1995-01-01 33699 1996-01-01 . 1997-01-01 36674 1998-01-01 37606 1999-01-01 37056 2000-01-01 38931 2001-01-01 38583 2002-01-01 38835 2003-01-01 39383 2004-01-01 40029 2005-01-01 40827 2006-01-01 42705 2007-01-01 45543 2008-01-01 47788 2009-01-01 45199 2010-01-01 46388 2011-01-01 48640 2012-01-01 50056 2013-01-01 50688 2014-01-01 51464 2015-01-01 52916 2016-01-01 54991 2017-01-01 57214 2018-01-01 58402 2019-01-01 63447 2020-01-01 61958 2021-01-01 66918 2022-01-01 70412