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 Lassen County, CA Series ID: MHICIUBCA06035A052NCEN 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 28395 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 32044 1994-01-01 . 1995-01-01 37160 1996-01-01 . 1997-01-01 40011 1998-01-01 42396 1999-01-01 39373 2000-01-01 40661 2001-01-01 39122 2002-01-01 39865 2003-01-01 40556 2004-01-01 42130 2005-01-01 44975 2006-01-01 49319 2007-01-01 51945 2008-01-01 51927 2009-01-01 50815 2010-01-01 54363 2011-01-01 52321 2012-01-01 50886 2013-01-01 54626 2014-01-01 54420 2015-01-01 58809 2016-01-01 54446 2017-01-01 63263 2018-01-01 62737 2019-01-01 57898 2020-01-01 69158 2021-01-01 62459 2022-01-01 67644