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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Yuma County, AZ
Series ID MHICILBAZ04027A052NCEN
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 1:12 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 18848
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20760
1994-01-01 .
1995-01-01 24255
1996-01-01 .
1997-01-01 24297
1998-01-01 25295
1999-01-01 27460
2000-01-01 29070
2001-01-01 28693
2002-01-01 30039
2003-01-01 30639
2004-01-01 32105
2005-01-01 33920
2006-01-01 35210
2007-01-01 37408
2008-01-01 36807
2009-01-01 35894
2010-01-01 38416
2011-01-01 35119
2012-01-01 37107
2013-01-01 38437
2014-01-01 37689
2015-01-01 38382
2016-01-01 40706
2017-01-01 43647
2018-01-01 41173
2019-01-01 43733
2020-01-01 50727
2021-01-01 52887
2022-01-01 51443

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