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 Jackson County, MI Series ID: MHICILBMI26075A052NCEN 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 1:54 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 25347 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30841 1994-01-01 . 1995-01-01 33143 1996-01-01 . 1997-01-01 35359 1998-01-01 36900 1999-01-01 38562 2000-01-01 40773 2001-01-01 39915 2002-01-01 39462 2003-01-01 40128 2004-01-01 41008 2005-01-01 44957 2006-01-01 41882 2007-01-01 42167 2008-01-01 44752 2009-01-01 44813 2010-01-01 40968 2011-01-01 40341 2012-01-01 41164 2013-01-01 41948 2014-01-01 43293 2015-01-01 48204 2016-01-01 47579 2017-01-01 48468 2018-01-01 49019 2019-01-01 52253 2020-01-01 51657 2021-01-01 55751 2022-01-01 56316