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 Hampshire County, MA Series ID: MHICILBMA25015A052NCEN 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 1:54 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 30614 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34425 1994-01-01 . 1995-01-01 36484 1996-01-01 . 1997-01-01 39353 1998-01-01 41549 1999-01-01 41095 2000-01-01 43931 2001-01-01 43131 2002-01-01 43392 2003-01-01 43994 2004-01-01 45485 2005-01-01 46034 2006-01-01 50353 2007-01-01 51769 2008-01-01 59570 2009-01-01 53258 2010-01-01 54675 2011-01-01 51700 2012-01-01 55001 2013-01-01 57759 2014-01-01 53688 2015-01-01 57472 2016-01-01 60188 2017-01-01 63758 2018-01-01 70377 2019-01-01 70311 2020-01-01 69764 2021-01-01 72088 2022-01-01 77785