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 Coos County, NH Series ID: MHICIUBNH33007A052NCEN 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 1:51 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 27674 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31510 1994-01-01 . 1995-01-01 33355 1996-01-01 . 1997-01-01 34804 1998-01-01 36217 1999-01-01 35109 2000-01-01 37316 2001-01-01 36171 2002-01-01 36206 2003-01-01 37518 2004-01-01 38942 2005-01-01 42211 2006-01-01 41599 2007-01-01 44091 2008-01-01 45544 2009-01-01 43271 2010-01-01 40377 2011-01-01 39819 2012-01-01 43545 2013-01-01 43669 2014-01-01 45956 2015-01-01 42728 2016-01-01 48662 2017-01-01 47684 2018-01-01 46276 2019-01-01 53476 2020-01-01 54214 2021-01-01 59187 2022-01-01 56681