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 Delaware County, NY Series ID: MHICIUBNY36025A052NCEN 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 1:09 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 25171 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28553 1994-01-01 . 1995-01-01 31041 1996-01-01 . 1997-01-01 33445 1998-01-01 34376 1999-01-01 33572 2000-01-01 35498 2001-01-01 34392 2002-01-01 34560 2003-01-01 34980 2004-01-01 36382 2005-01-01 38450 2006-01-01 39165 2007-01-01 45260 2008-01-01 42304 2009-01-01 46282 2010-01-01 43260 2011-01-01 40661 2012-01-01 43567 2013-01-01 46208 2014-01-01 48661 2015-01-01 46341 2016-01-01 48209 2017-01-01 49147 2018-01-01 50669 2019-01-01 55525 2020-01-01 58633 2021-01-01 57219 2022-01-01 65621