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 Stanislaus County, CA Series ID: MHICIUBCA06099A052NCEN 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 29260 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32997 1994-01-01 . 1995-01-01 37354 1996-01-01 . 1997-01-01 38746 1998-01-01 39022 1999-01-01 39535 2000-01-01 42950 2001-01-01 41926 2002-01-01 42687 2003-01-01 44169 2004-01-01 45705 2005-01-01 48906 2006-01-01 49877 2007-01-01 51760 2008-01-01 52072 2009-01-01 49912 2010-01-01 49683 2011-01-01 46429 2012-01-01 48145 2013-01-01 50015 2014-01-01 52154 2015-01-01 54190 2016-01-01 56208 2017-01-01 61148 2018-01-01 62513 2019-01-01 65244 2020-01-01 66585 2021-01-01 75364 2022-01-01 77829