Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for New London County, CT Series ID: MHICILBCT09011A052NCEN 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 34295 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 38940 1994-01-01 . 1995-01-01 40892 1996-01-01 . 1997-01-01 41663 1998-01-01 43418 1999-01-01 44500 2000-01-01 46094 2001-01-01 46510 2002-01-01 48285 2003-01-01 48603 2004-01-01 51171 2005-01-01 56264 2006-01-01 56869 2007-01-01 58401 2008-01-01 64586 2009-01-01 60560 2010-01-01 59071 2011-01-01 60167 2012-01-01 62989 2013-01-01 59885 2014-01-01 63594 2015-01-01 62729 2016-01-01 67742 2017-01-01 69358 2018-01-01 64590 2019-01-01 71073 2020-01-01 72552 2021-01-01 74962