Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Oakland County, MI Series ID: MHICILBMI26125A052NCEN 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 40443 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 46660 1994-01-01 . 1995-01-01 53117 1996-01-01 . 1997-01-01 57319 1998-01-01 60140 1999-01-01 58991 2000-01-01 60718 2001-01-01 60013 2002-01-01 60671 2003-01-01 60344 2004-01-01 60921 2005-01-01 62509 2006-01-01 65326 2007-01-01 65412 2008-01-01 66329 2009-01-01 60991 2010-01-01 59368 2011-01-01 60989 2012-01-01 62098 2013-01-01 65743 2014-01-01 67834 2015-01-01 68667 2016-01-01 70698 2017-01-01 76234 2018-01-01 78660 2019-01-01 80129 2020-01-01 79684 2021-01-01 84910 2022-01-01 88597