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 Del Norte County, CA Series ID: MHICILBCA06015A052NCEN 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 1:54 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 19556 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 22783 1994-01-01 . 1995-01-01 24975 1996-01-01 . 1997-01-01 25902 1998-01-01 27335 1999-01-01 27203 2000-01-01 27872 2001-01-01 26780 2002-01-01 26933 2003-01-01 28005 2004-01-01 29412 2005-01-01 29878 2006-01-01 30811 2007-01-01 32436 2008-01-01 33311 2009-01-01 34923 2010-01-01 32385 2011-01-01 32285 2012-01-01 34505 2013-01-01 35002 2014-01-01 38181 2015-01-01 35115 2016-01-01 35460 2017-01-01 36244 2018-01-01 44610 2019-01-01 43919 2020-01-01 40788 2021-01-01 42824 2022-01-01 52171