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 Emmons County, ND Series ID: MHICIUBND38029A052NCEN 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 20626 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24849 1994-01-01 . 1995-01-01 24087 1996-01-01 . 1997-01-01 26613 1998-01-01 29604 1999-01-01 27618 2000-01-01 30604 2001-01-01 29327 2002-01-01 27914 2003-01-01 30744 2004-01-01 31514 2005-01-01 31735 2006-01-01 34799 2007-01-01 34915 2008-01-01 37926 2009-01-01 40324 2010-01-01 40107 2011-01-01 44321 2012-01-01 46123 2013-01-01 47653 2014-01-01 47530 2015-01-01 50801 2016-01-01 49259 2017-01-01 51681 2018-01-01 52729 2019-01-01 58766 2020-01-01 57454 2021-01-01 62714 2022-01-01 68342