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 Stephenson County, IL Series ID: MHICILBIL17177A052NCEN 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 26517 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30341 1994-01-01 . 1995-01-01 32156 1996-01-01 . 1997-01-01 35848 1998-01-01 38213 1999-01-01 37614 2000-01-01 38567 2001-01-01 38075 2002-01-01 37416 2003-01-01 38064 2004-01-01 39262 2005-01-01 40709 2006-01-01 39436 2007-01-01 40697 2008-01-01 40414 2009-01-01 41008 2010-01-01 39652 2011-01-01 39838 2012-01-01 43625 2013-01-01 39200 2014-01-01 45158 2015-01-01 43573 2016-01-01 42252 2017-01-01 43958 2018-01-01 44626 2019-01-01 48572 2020-01-01 52028 2021-01-01 51025 2022-01-01 55537