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 Dauphin County, PA Series ID: MHICILBPA42043A052NCEN 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 27156 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32377 1994-01-01 . 1995-01-01 34546 1996-01-01 . 1997-01-01 38340 1998-01-01 39543 1999-01-01 38993 2000-01-01 41020 2001-01-01 40504 2002-01-01 41725 2003-01-01 42944 2004-01-01 44062 2005-01-01 46043 2006-01-01 47055 2007-01-01 48210 2008-01-01 49287 2009-01-01 46875 2010-01-01 49492 2011-01-01 49800 2012-01-01 50569 2013-01-01 51506 2014-01-01 50618 2015-01-01 51968 2016-01-01 58263 2017-01-01 59422 2018-01-01 54972 2019-01-01 58017 2020-01-01 59336 2021-01-01 62071 2022-01-01 63445