Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Maricopa County, AZ
Series ID MHICILBAZ04013A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 29252
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32368
1994-01-01 .
1995-01-01 35827
1996-01-01 .
1997-01-01 38251
1998-01-01 40274
1999-01-01 42047
2000-01-01 44774
2001-01-01 43760
2002-01-01 43884
2003-01-01 44369
2004-01-01 46215
2005-01-01 47904
2006-01-01 51847
2007-01-01 53857
2008-01-01 55692
2009-01-01 52419
2010-01-01 49954
2011-01-01 50105
2012-01-01 50954
2013-01-01 51495
2014-01-01 52982
2015-01-01 55327
2016-01-01 57878
2017-01-01 61696
2018-01-01 64449
2019-01-01 67568
2020-01-01 70604
2021-01-01 75525
2022-01-01 82400
2023-01-01 85553

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