Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Coconino County, AZ
Series ID MHICIUBAZ04005A052NCEN
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 2:32 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 27705
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31597
1994-01-01 .
1995-01-01 35731
1996-01-01 .
1997-01-01 36828
1998-01-01 37983
1999-01-01 38401
2000-01-01 41218
2001-01-01 40268
2002-01-01 40623
2003-01-01 41568
2004-01-01 42636
2005-01-01 44194
2006-01-01 46813
2007-01-01 51259
2008-01-01 50926
2009-01-01 51985
2010-01-01 45442
2011-01-01 48134
2012-01-01 48414
2013-01-01 51862
2014-01-01 52275
2015-01-01 55096
2016-01-01 57101
2017-01-01 58073
2018-01-01 63221
2019-01-01 62688
2020-01-01 61891
2021-01-01 68385
2022-01-01 68549
2023-01-01 75734

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