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 Lower Bound of Estimate of Median Household Income for Tuscola County, MI Series ID: MHICILBMI26157A052NCEN 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 24745 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 28763 1994-01-01 . 1995-01-01 31909 1996-01-01 . 1997-01-01 33472 1998-01-01 34624 1999-01-01 36402 2000-01-01 37969 2001-01-01 36692 2002-01-01 36531 2003-01-01 37361 2004-01-01 38350 2005-01-01 40569 2006-01-01 38922 2007-01-01 40591 2008-01-01 40545 2009-01-01 37092 2010-01-01 38458 2011-01-01 40572 2012-01-01 40012 2013-01-01 39599 2014-01-01 40363 2015-01-01 43072 2016-01-01 43684 2017-01-01 44467 2018-01-01 48649 2019-01-01 49659 2020-01-01 47169 2021-01-01 49574 2022-01-01 57895