Federal Reserve Economic Data

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

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 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 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
2023-01-01 67307

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