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 Tolland County, CT Series ID: MHICILBCT09013A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 10:00 AM 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 41230 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 46427 1994-01-01 . 1995-01-01 47871 1996-01-01 . 1997-01-01 52095 1998-01-01 55442 1999-01-01 53732 2000-01-01 55927 2001-01-01 56240 2002-01-01 57185 2003-01-01 57730 2004-01-01 58943 2005-01-01 69086 2006-01-01 65341 2007-01-01 71302 2008-01-01 71832 2009-01-01 74612 2010-01-01 71149 2011-01-01 73344 2012-01-01 70244 2013-01-01 70145 2014-01-01 75528 2015-01-01 77880 2016-01-01 78281 2017-01-01 70560 2018-01-01 83740 2019-01-01 83594 2020-01-01 78517 2021-01-01 79390