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 Contra Costa County, CA Series ID: MHICILBCA06013A052NCEN 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 1:12 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 39928 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 45560 1994-01-01 . 1995-01-01 50446 1996-01-01 . 1997-01-01 51554 1998-01-01 54867 1999-01-01 56814 2000-01-01 59874 2001-01-01 60461 2002-01-01 61159 2003-01-01 60729 2004-01-01 61822 2005-01-01 67709 2006-01-01 71822 2007-01-01 74190 2008-01-01 76334 2009-01-01 72611 2010-01-01 71878 2011-01-01 71679 2012-01-01 72512 2013-01-01 76035 2014-01-01 78400 2015-01-01 80380 2016-01-01 89413 2017-01-01 92560 2018-01-01 100009 2019-01-01 103354 2020-01-01 103471 2021-01-01 107542 2022-01-01 116587