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 Golden Valley County, ND Series ID: MHICIUBND38033A052NCEN 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 24038 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28683 1994-01-01 . 1995-01-01 28298 1996-01-01 . 1997-01-01 30542 1998-01-01 29259 1999-01-01 30720 2000-01-01 33898 2001-01-01 32542 2002-01-01 31350 2003-01-01 34010 2004-01-01 33092 2005-01-01 30432 2006-01-01 38068 2007-01-01 40139 2008-01-01 43062 2009-01-01 38679 2010-01-01 42162 2011-01-01 49362 2012-01-01 48984 2013-01-01 52857 2014-01-01 59004 2015-01-01 62853 2016-01-01 63069 2017-01-01 68159 2018-01-01 63705 2019-01-01 65377 2020-01-01 66412 2021-01-01 70101 2022-01-01 72993