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 Chittenden County, VT Series ID: MHICIUBVT50007A052NCEN 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 36743 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 41876 1994-01-01 . 1995-01-01 45923 1996-01-01 . 1997-01-01 49354 1998-01-01 50634 1999-01-01 49634 2000-01-01 52850 2001-01-01 52493 2002-01-01 53633 2003-01-01 54711 2004-01-01 55686 2005-01-01 56472 2006-01-01 57985 2007-01-01 60466 2008-01-01 64787 2009-01-01 62324 2010-01-01 59374 2011-01-01 63873 2012-01-01 65221 2013-01-01 66695 2014-01-01 64932 2015-01-01 70178 2016-01-01 72206 2017-01-01 70237 2018-01-01 78639 2019-01-01 79519 2020-01-01 85991 2021-01-01 87959 2022-01-01 92735