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 Glenn County, CA Series ID: MHICILBCA06021A052NCEN 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 19558 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22120 1994-01-01 . 1995-01-01 23193 1996-01-01 . 1997-01-01 25527 1998-01-01 25861 1999-01-01 28695 2000-01-01 29985 2001-01-01 29545 2002-01-01 29644 2003-01-01 30731 2004-01-01 32763 2005-01-01 33030 2006-01-01 34944 2007-01-01 35118 2008-01-01 36657 2009-01-01 39412 2010-01-01 37106 2011-01-01 36271 2012-01-01 37623 2013-01-01 38013 2014-01-01 39548 2015-01-01 39084 2016-01-01 41875 2017-01-01 47174 2018-01-01 43265 2019-01-01 49829 2020-01-01 50629 2021-01-01 50379 2022-01-01 57048