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 Traill County, ND Series ID: MHICILBND38097A052NCEN 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 22413 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 27149 1994-01-01 . 1995-01-01 29871 1996-01-01 . 1997-01-01 32133 1998-01-01 34125 1999-01-01 35424 2000-01-01 36643 2001-01-01 36459 2002-01-01 37414 2003-01-01 38576 2004-01-01 38480 2005-01-01 39007 2006-01-01 37243 2007-01-01 44638 2008-01-01 44584 2009-01-01 42173 2010-01-01 45459 2011-01-01 50064 2012-01-01 46818 2013-01-01 51431 2014-01-01 53407 2015-01-01 50743 2016-01-01 50609 2017-01-01 58465 2018-01-01 55069 2019-01-01 62471 2020-01-01 61466 2021-01-01 64222 2022-01-01 70491