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 Imperial County, CA Series ID: MHICIUBCA06025A052NCEN 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 1:53 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 20884 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22789 1994-01-01 . 1995-01-01 25399 1996-01-01 . 1997-01-01 26844 1998-01-01 27840 1999-01-01 31418 2000-01-01 34749 2001-01-01 33333 2002-01-01 33950 2003-01-01 34993 2004-01-01 36041 2005-01-01 37112 2006-01-01 38294 2007-01-01 35747 2008-01-01 39883 2009-01-01 40055 2010-01-01 41790 2011-01-01 39932 2012-01-01 41163 2013-01-01 42858 2014-01-01 42041 2015-01-01 42868 2016-01-01 46846 2017-01-01 47202 2018-01-01 50017 2019-01-01 51027 2020-01-01 53062 2021-01-01 53841 2022-01-01 60426