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 St. Croix County, WI Series ID: MHICILBWI55109A052NCEN 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 34250 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 40974 1994-01-01 . 1995-01-01 44574 1996-01-01 . 1997-01-01 48592 1998-01-01 51469 1999-01-01 51823 2000-01-01 53747 2001-01-01 54139 2002-01-01 55465 2003-01-01 57254 2004-01-01 60159 2005-01-01 62999 2006-01-01 64693 2007-01-01 63277 2008-01-01 65544 2009-01-01 63288 2010-01-01 61044 2011-01-01 60766 2012-01-01 65354 2013-01-01 65299 2014-01-01 71750 2015-01-01 69084 2016-01-01 70600 2017-01-01 76456 2018-01-01 78487 2019-01-01 81580 2020-01-01 72717 2021-01-01 88150 2022-01-01 91756