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 Cass County, ND Series ID: MHICIUBND38017A052NCEN 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 29775 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34992 1994-01-01 . 1995-01-01 38364 1996-01-01 . 1997-01-01 41453 1998-01-01 42540 1999-01-01 41124 2000-01-01 43209 2001-01-01 43526 2002-01-01 44313 2003-01-01 45968 2004-01-01 47105 2005-01-01 45924 2006-01-01 48487 2007-01-01 47364 2008-01-01 49240 2009-01-01 49780 2010-01-01 53541 2011-01-01 56258 2012-01-01 54995 2013-01-01 55874 2014-01-01 56653 2015-01-01 59751 2016-01-01 63471 2017-01-01 68161 2018-01-01 68872 2019-01-01 68485 2020-01-01 65929 2021-01-01 68491 2022-01-01 75459