Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Yuma County, AZ
Series ID MHICIUBAZ04027A052NCEN
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 23083
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25230
1994-01-01 .
1995-01-01 29968
1996-01-01 .
1997-01-01 30141
1998-01-01 31103
1999-01-01 31332
2000-01-01 33695
2001-01-01 32932
2002-01-01 34628
2003-01-01 34783
2004-01-01 36495
2005-01-01 37558
2006-01-01 39098
2007-01-01 42153
2008-01-01 41319
2009-01-01 40609
2010-01-01 42802
2011-01-01 40669
2012-01-01 41037
2013-01-01 42559
2014-01-01 41711
2015-01-01 42470
2016-01-01 45290
2017-01-01 48379
2018-01-01 47059
2019-01-01 50315
2020-01-01 57829
2021-01-01 59095
2022-01-01 56975
2023-01-01 65150

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