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 Upper Bound of Estimate of Median Household Income for Yolo County, CA Series ID: MHICIUBCA06113A052NCEN 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 29972 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 34668 1994-01-01 . 1995-01-01 38596 1996-01-01 . 1997-01-01 41753 1998-01-01 44130 1999-01-01 43101 2000-01-01 45925 2001-01-01 44789 2002-01-01 45407 2003-01-01 46413 2004-01-01 47682 2005-01-01 51314 2006-01-01 52856 2007-01-01 59499 2008-01-01 61317 2009-01-01 59015 2010-01-01 57727 2011-01-01 52772 2012-01-01 53634 2013-01-01 58954 2014-01-01 57831 2015-01-01 62202 2016-01-01 67109 2017-01-01 69562 2018-01-01 71782 2019-01-01 74897 2020-01-01 86153 2021-01-01 81411 2022-01-01 87719