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 Bennington County, VT Series ID: MHICILBVT50003A052NCEN 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 24735 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29511 1994-01-01 . 1995-01-01 30515 1996-01-01 . 1997-01-01 32870 1998-01-01 34230 1999-01-01 35440 2000-01-01 37643 2001-01-01 37265 2002-01-01 37502 2003-01-01 38457 2004-01-01 38997 2005-01-01 39920 2006-01-01 41870 2007-01-01 42791 2008-01-01 41530 2009-01-01 40934 2010-01-01 43515 2011-01-01 41304 2012-01-01 44981 2013-01-01 44412 2014-01-01 41503 2015-01-01 47283 2016-01-01 47618 2017-01-01 47751 2018-01-01 47622 2019-01-01 52284 2020-01-01 59037 2021-01-01 58751 2022-01-01 63150