Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Butte County, CA Series ID: MHICIUBCA06007A052NCEN 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 2021-01-01 Last Updated: 2022-12-21 9:58 AM 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 24214 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26975 1994-01-01 . 1995-01-01 31046 1996-01-01 . 1997-01-01 32221 1998-01-01 33295 1999-01-01 32506 2000-01-01 34306 2001-01-01 33480 2002-01-01 34331 2003-01-01 35647 2004-01-01 37115 2005-01-01 38138 2006-01-01 41888 2007-01-01 41998 2008-01-01 42460 2009-01-01 43260 2010-01-01 43109 2011-01-01 40926 2012-01-01 42501 2013-01-01 44452 2014-01-01 44340 2015-01-01 47045 2016-01-01 48083 2017-01-01 51295 2018-01-01 53753 2019-01-01 62398 2020-01-01 60196 2021-01-01 65716