Title: 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pima County, AZ Series ID: MHICIUBAZ04019A052NCEN 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 12:51 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 26727 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 30650 1994-01-01 . 1995-01-01 33206 1996-01-01 . 1997-01-01 35028 1998-01-01 36551 1999-01-01 36879 2000-01-01 39894 2001-01-01 39211 2002-01-01 39200 2003-01-01 39656 2004-01-01 40879 2005-01-01 42313 2006-01-01 44111 2007-01-01 45139 2008-01-01 47724 2009-01-01 44423 2010-01-01 45777 2011-01-01 45613 2012-01-01 46050 2013-01-01 45052 2014-01-01 47110 2015-01-01 48100 2016-01-01 49152 2017-01-01 52480 2018-01-01 54806 2019-01-01 57712 2020-01-01 59312 2021-01-01 62471 2022-01-01 65977