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 Newport County, RI Series ID: MHICIUBRI44005A052NCEN 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 35785 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 41016 1994-01-01 . 1995-01-01 42842 1996-01-01 . 1997-01-01 46533 1998-01-01 49035 1999-01-01 51026 2000-01-01 54884 2001-01-01 53618 2002-01-01 54062 2003-01-01 54542 2004-01-01 57379 2005-01-01 61113 2006-01-01 63211 2007-01-01 65368 2008-01-01 70530 2009-01-01 66767 2010-01-01 72038 2011-01-01 70110 2012-01-01 67652 2013-01-01 71334 2014-01-01 73395 2015-01-01 68553 2016-01-01 76076 2017-01-01 81909 2018-01-01 84154 2019-01-01 84879 2020-01-01 89556 2021-01-01 92436 2022-01-01 97955