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 Delta County, MI Series ID: MHICIUBMI26041A052NCEN 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 1:11 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 25769 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29374 1994-01-01 . 1995-01-01 34029 1996-01-01 . 1997-01-01 36420 1998-01-01 37771 1999-01-01 37681 2000-01-01 39660 2001-01-01 38380 2002-01-01 38867 2003-01-01 39741 2004-01-01 41275 2005-01-01 40269 2006-01-01 42041 2007-01-01 43712 2008-01-01 46531 2009-01-01 43902 2010-01-01 42219 2011-01-01 43958 2012-01-01 45308 2013-01-01 44501 2014-01-01 46793 2015-01-01 46398 2016-01-01 47590 2017-01-01 53506 2018-01-01 52759 2019-01-01 52969 2020-01-01 55245 2021-01-01 58419 2022-01-01 63282