Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pima County, AZ Series ID: MHICILBAZ04019A052NCEN 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 22940 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26747 1994-01-01 . 1995-01-01 28446 1996-01-01 . 1997-01-01 30048 1998-01-01 31533 1999-01-01 32905 2000-01-01 35176 2001-01-01 34796 2002-01-01 34803 2003-01-01 35536 2004-01-01 36612 2005-01-01 40654 2006-01-01 41893 2007-01-01 42304 2008-01-01 45582 2009-01-01 42064 2010-01-01 42809 2011-01-01 42591 2012-01-01 43440 2013-01-01 42800 2014-01-01 44632 2015-01-01 46114 2016-01-01 46136 2017-01-01 50304 2018-01-01 51984 2019-01-01 54588 2020-01-01 53790 2021-01-01 58737 2022-01-01 62037