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 Sacramento County, CA Series ID: MHICILBCA06067A052NCEN 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 28144 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 33451 1994-01-01 . 1995-01-01 34205 1996-01-01 . 1997-01-01 36938 1998-01-01 39124 1999-01-01 39462 2000-01-01 42029 2001-01-01 41909 2002-01-01 42572 2003-01-01 43868 2004-01-01 44711 2005-01-01 50870 2006-01-01 52216 2007-01-01 55689 2008-01-01 55623 2009-01-01 51493 2010-01-01 51447 2011-01-01 50918 2012-01-01 51446 2013-01-01 51601 2014-01-01 54725 2015-01-01 57074 2016-01-01 58257 2017-01-01 61303 2018-01-01 67976 2019-01-01 70566 2020-01-01 70697 2021-01-01 77617 2022-01-01 82277