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 Lenawee County, MI Series ID: MHICIUBMI26091A052NCEN 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 32037 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 37195 1994-01-01 . 1995-01-01 42124 1996-01-01 . 1997-01-01 43761 1998-01-01 45822 1999-01-01 47074 2000-01-01 49645 2001-01-01 48231 2002-01-01 48580 2003-01-01 50160 2004-01-01 50968 2005-01-01 51071 2006-01-01 49928 2007-01-01 54892 2008-01-01 53593 2009-01-01 49484 2010-01-01 48111 2011-01-01 48242 2012-01-01 50887 2013-01-01 49106 2014-01-01 51559 2015-01-01 51477 2016-01-01 55999 2017-01-01 59802 2018-01-01 58511 2019-01-01 59219 2020-01-01 63208 2021-01-01 66538 2022-01-01 71927