Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Maricopa County, AZ

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Maricopa County, AZ
Series ID MHICIUBAZ04013A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:06 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 (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.
DATE VALUE
1989-01-01 32232
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35456
1994-01-01 .
1995-01-01 39330
1996-01-01 .
1997-01-01 42007
1998-01-01 44100
1999-01-01 46157
2000-01-01 49387
2001-01-01 48189
2002-01-01 48298
2003-01-01 48475
2004-01-01 50488
2005-01-01 49600
2006-01-01 53197
2007-01-01 55609
2008-01-01 57331
2009-01-01 54150
2010-01-01 50894
2011-01-01 51465
2012-01-01 51930
2013-01-01 52637
2014-01-01 54876
2015-01-01 56707
2016-01-01 59606
2017-01-01 62746
2018-01-01 66019
2019-01-01 69700
2020-01-01 72994
2021-01-01 76935
2022-01-01 84936
2023-01-01 88393
2024-01-01 92049

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