Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Gila County, AZ
Series ID MHICILBAZ04007A052NCEN
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 18186
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20964
1994-01-01 .
1995-01-01 24207
1996-01-01 .
1997-01-01 24817
1998-01-01 26175
1999-01-01 27967
2000-01-01 29027
2001-01-01 28176
2002-01-01 28499
2003-01-01 29805
2004-01-01 31325
2005-01-01 31136
2006-01-01 33218
2007-01-01 32433
2008-01-01 34801
2009-01-01 33534
2010-01-01 34253
2011-01-01 33888
2012-01-01 35783
2013-01-01 36969
2014-01-01 34594
2015-01-01 39316
2016-01-01 38185
2017-01-01 35905
2018-01-01 39568
2019-01-01 41267
2020-01-01 44063
2021-01-01 48076
2022-01-01 46958
2023-01-01 49805

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