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 Logan County, ND Series ID: MHICIUBND38047A052NCEN 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 19707 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 25260 1994-01-01 . 1995-01-01 25323 1996-01-01 . 1997-01-01 27283 1998-01-01 28280 1999-01-01 28979 2000-01-01 32723 2001-01-01 30591 2002-01-01 29458 2003-01-01 33036 2004-01-01 33498 2005-01-01 34797 2006-01-01 37313 2007-01-01 37113 2008-01-01 39293 2009-01-01 39074 2010-01-01 41984 2011-01-01 44897 2012-01-01 49094 2013-01-01 53100 2014-01-01 49100 2015-01-01 54788 2016-01-01 53932 2017-01-01 51967 2018-01-01 55208 2019-01-01 57370 2020-01-01 55463 2021-01-01 57570 2022-01-01 67785