Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gila County, AZ
Series ID MHICIUBAZ04007A052NCEN
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 1:53 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 22610
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25432
1994-01-01 .
1995-01-01 30522
1996-01-01 .
1997-01-01 31086
1998-01-01 32406
1999-01-01 32028
2000-01-01 33740
2001-01-01 32364
2002-01-01 32770
2003-01-01 33886
2004-01-01 35638
2005-01-01 36588
2006-01-01 38214
2007-01-01 37089
2008-01-01 42008
2009-01-01 39994
2010-01-01 40607
2011-01-01 37908
2012-01-01 40751
2013-01-01 42767
2014-01-01 40760
2015-01-01 43376
2016-01-01 43309
2017-01-01 41889
2018-01-01 47602
2019-01-01 50693
2020-01-01 54497
2021-01-01 57254
2022-01-01 56898

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