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 Lower Bound of Estimate of Median Household Income for Dickey County, ND Series ID: MHICILBND38021A052NCEN 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 1:54 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 18454 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23324 1994-01-01 . 1995-01-01 21922 1996-01-01 . 1997-01-01 24995 1998-01-01 26871 1999-01-01 28007 2000-01-01 29803 2001-01-01 29477 2002-01-01 29985 2003-01-01 31884 2004-01-01 33321 2005-01-01 31975 2006-01-01 33417 2007-01-01 35911 2008-01-01 37865 2009-01-01 37635 2010-01-01 38889 2011-01-01 42855 2012-01-01 46416 2013-01-01 47863 2014-01-01 46762 2015-01-01 51365 2016-01-01 49155 2017-01-01 48125 2018-01-01 47850 2019-01-01 50848 2020-01-01 52737 2021-01-01 49131 2022-01-01 52284