Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wells County, ND Series ID: MHICIUBND38103A052NCEN 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 21266 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28210 1994-01-01 . 1995-01-01 29647 1996-01-01 . 1997-01-01 30969 1998-01-01 32856 1999-01-01 33884 2000-01-01 35773 2001-01-01 34912 2002-01-01 35556 2003-01-01 38128 2004-01-01 38513 2005-01-01 38872 2006-01-01 41427 2007-01-01 41998 2008-01-01 44148 2009-01-01 49327 2010-01-01 45932 2011-01-01 51758 2012-01-01 52898 2013-01-01 59266 2014-01-01 56426 2015-01-01 56736 2016-01-01 56909 2017-01-01 60168 2018-01-01 63791 2019-01-01 62317 2020-01-01 62732 2021-01-01 71646 2022-01-01 74583