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 Carver County, MN Series ID: MHICIUBMN27019A052NCEN 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 1:11 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 41664 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 49193 1994-01-01 . 1995-01-01 57126 1996-01-01 . 1997-01-01 61998 1998-01-01 66935 1999-01-01 71022 2000-01-01 75687 2001-01-01 76160 2002-01-01 78185 2003-01-01 79121 2004-01-01 80695 2005-01-01 78889 2006-01-01 82643 2007-01-01 83659 2008-01-01 89067 2009-01-01 80875 2010-01-01 86387 2011-01-01 90708 2012-01-01 89528 2013-01-01 92768 2014-01-01 95070 2015-01-01 98788 2016-01-01 98797 2017-01-01 108281 2018-01-01 112179 2019-01-01 104682 2020-01-01 118287 2021-01-01 114191 2022-01-01 123718