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 Monterey County, CA Series ID: MHICILBCA06053A052NCEN 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 27307 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 31148 1994-01-01 . 1995-01-01 31576 1996-01-01 . 1997-01-01 35390 1998-01-01 37547 1999-01-01 40552 2000-01-01 43792 2001-01-01 43293 2002-01-01 42919 2003-01-01 42909 2004-01-01 44204 2005-01-01 53388 2006-01-01 51735 2007-01-01 54665 2008-01-01 56670 2009-01-01 55603 2010-01-01 51457 2011-01-01 50628 2012-01-01 53414 2013-01-01 52444 2014-01-01 55347 2015-01-01 58198 2016-01-01 60239 2017-01-01 68046 2018-01-01 66597 2019-01-01 73761 2020-01-01 82688 2021-01-01 79343 2022-01-01 88771