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 Dutchess County, NY Series ID: MHICILBNY36027A052NCEN 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 1:11 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 38017 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 41622 1994-01-01 . 1995-01-01 40593 1996-01-01 . 1997-01-01 44847 1998-01-01 47408 1999-01-01 47726 2000-01-01 50171 2001-01-01 49538 2002-01-01 50046 2003-01-01 51280 2004-01-01 53566 2005-01-01 59191 2006-01-01 63408 2007-01-01 63333 2008-01-01 65124 2009-01-01 66292 2010-01-01 66431 2011-01-01 64057 2012-01-01 64585 2013-01-01 65867 2014-01-01 68920 2015-01-01 68461 2016-01-01 70621 2017-01-01 72914 2018-01-01 76624 2019-01-01 80402 2020-01-01 75968 2021-01-01 83341 2022-01-01 87060