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 El Dorado County, CA Series ID: MHICIUBCA06017A052NCEN 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 1:10 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 35169 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 40396 1994-01-01 . 1995-01-01 45648 1996-01-01 . 1997-01-01 47967 1998-01-01 50383 1999-01-01 52465 2000-01-01 56098 2001-01-01 55453 2002-01-01 56904 2003-01-01 57593 2004-01-01 60264 2005-01-01 64771 2006-01-01 71155 2007-01-01 68459 2008-01-01 70494 2009-01-01 72357 2010-01-01 68638 2011-01-01 66020 2012-01-01 71630 2013-01-01 66970 2014-01-01 74771 2015-01-01 80202 2016-01-01 79167 2017-01-01 83734 2018-01-01 86684 2019-01-01 91403 2020-01-01 94649 2021-01-01 94489 2022-01-01 108898