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 Upper Bound of Estimate of Median Household Income for Apache County, AZ Series ID: MHICIUBAZ04001A052NCEN 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 1:10 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 19769 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 21178 1994-01-01 . 1995-01-01 23342 1996-01-01 . 1997-01-01 23413 1998-01-01 24412 1999-01-01 25055 2000-01-01 26212 2001-01-01 25263 2002-01-01 26064 2003-01-01 27314 2004-01-01 28427 2005-01-01 28598 2006-01-01 29618 2007-01-01 32383 2008-01-01 34604 2009-01-01 31616 2010-01-01 33093 2011-01-01 33054 2012-01-01 34707 2013-01-01 32342 2014-01-01 34888 2015-01-01 33461 2016-01-01 36641 2017-01-01 35674 2018-01-01 36824 2019-01-01 39141 2020-01-01 41552 2021-01-01 44225 2022-01-01 44524