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 Grand Forks County, ND Series ID: MHICILBND38035A052NCEN 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 23671 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28824 1994-01-01 . 1995-01-01 29482 1996-01-01 . 1997-01-01 33125 1998-01-01 34978 1999-01-01 34149 2000-01-01 35443 2001-01-01 35304 2002-01-01 35356 2003-01-01 36544 2004-01-01 36887 2005-01-01 39423 2006-01-01 38279 2007-01-01 40218 2008-01-01 44553 2009-01-01 40243 2010-01-01 41670 2011-01-01 42503 2012-01-01 41417 2013-01-01 46701 2014-01-01 46810 2015-01-01 48351 2016-01-01 47848 2017-01-01 47048 2018-01-01 51029 2019-01-01 54311 2020-01-01 49975 2021-01-01 58873 2022-01-01 59175