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 Grant County, WI Series ID: MHICILBWI55043A052NCEN 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 1:53 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 21675 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26938 1994-01-01 . 1995-01-01 27787 1996-01-01 . 1997-01-01 30641 1998-01-01 32223 1999-01-01 33436 2000-01-01 34728 2001-01-01 34557 2002-01-01 34686 2003-01-01 35523 2004-01-01 37340 2005-01-01 37465 2006-01-01 39758 2007-01-01 40624 2008-01-01 42547 2009-01-01 41002 2010-01-01 39899 2011-01-01 42656 2012-01-01 44374 2013-01-01 42937 2014-01-01 44210 2015-01-01 48814 2016-01-01 44875 2017-01-01 48935 2018-01-01 53442 2019-01-01 52644 2020-01-01 51758 2021-01-01 54014 2022-01-01 58653