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 Iosco County, MI Series ID: MHICIUBMI26069A052NCEN 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 1:52 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 22363 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 24805 1994-01-01 . 1995-01-01 27620 1996-01-01 . 1997-01-01 30298 1998-01-01 31103 1999-01-01 32180 2000-01-01 34285 2001-01-01 32508 2002-01-01 32745 2003-01-01 33383 2004-01-01 34372 2005-01-01 34324 2006-01-01 37361 2007-01-01 38387 2008-01-01 37978 2009-01-01 36668 2010-01-01 36344 2011-01-01 35770 2012-01-01 36887 2013-01-01 38205 2014-01-01 39336 2015-01-01 41743 2016-01-01 42377 2017-01-01 44849 2018-01-01 43526 2019-01-01 47236 2020-01-01 47425 2021-01-01 51720 2022-01-01 49636