Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Coconino County, AZ
Series ID MHICILBAZ04005A052NCEN
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 1:54 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 23182
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27072
1994-01-01 .
1995-01-01 29532
1996-01-01 .
1997-01-01 30648
1998-01-01 31878
1999-01-01 33702
2000-01-01 35495
2001-01-01 35121
2002-01-01 35401
2003-01-01 36654
2004-01-01 37602
2005-01-01 38698
2006-01-01 40554
2007-01-01 45840
2008-01-01 44939
2009-01-01 47569
2010-01-01 40660
2011-01-01 41968
2012-01-01 42604
2013-01-01 45602
2014-01-01 45031
2015-01-01 48814
2016-01-01 50185
2017-01-01 50725
2018-01-01 57153
2019-01-01 53914
2020-01-01 52401
2021-01-01 59273
2022-01-01 59483

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