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 Milwaukee County, WI Series ID: MHICILBWI55079A052NCEN 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 26910 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 29236 1994-01-01 . 1995-01-01 32688 1996-01-01 . 1997-01-01 34668 1998-01-01 35375 1999-01-01 35196 2000-01-01 37254 2001-01-01 36545 2002-01-01 36294 2003-01-01 37138 2004-01-01 37461 2005-01-01 37029 2006-01-01 40468 2007-01-01 41828 2008-01-01 44876 2009-01-01 41016 2010-01-01 39843 2011-01-01 39895 2012-01-01 41531 2013-01-01 41154 2014-01-01 41644 2015-01-01 44813 2016-01-01 46313 2017-01-01 46250 2018-01-01 48370 2019-01-01 51714 2020-01-01 49536 2021-01-01 54745 2022-01-01 56685