Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mohave County, AZ
Series ID MHICIUBAZ04015A052NCEN
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 23119
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26514
1994-01-01 .
1995-01-01 32400
1996-01-01 .
1997-01-01 31349
1998-01-01 32387
1999-01-01 31988
2000-01-01 34000
2001-01-01 32616
2002-01-01 33293
2003-01-01 34667
2004-01-01 36378
2005-01-01 37397
2006-01-01 37802
2007-01-01 41474
2008-01-01 40840
2009-01-01 42105
2010-01-01 37892
2011-01-01 38543
2012-01-01 36781
2013-01-01 40575
2014-01-01 39714
2015-01-01 42555
2016-01-01 43985
2017-01-01 44449
2018-01-01 47724
2019-01-01 51802
2020-01-01 51213
2021-01-01 52193
2022-01-01 58392
2023-01-01 59178

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