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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Yuma County, CO
Series ID MHICILBCO08125A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:11 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 21724
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26281
1994-01-01 .
1995-01-01 24204
1996-01-01 .
1997-01-01 28163
1998-01-01 28730
1999-01-01 30806
2000-01-01 32104
2001-01-01 32232
2002-01-01 31384
2003-01-01 32335
2004-01-01 33450
2005-01-01 34076
2006-01-01 34960
2007-01-01 39011
2008-01-01 39182
2009-01-01 38681
2010-01-01 39238
2011-01-01 42019
2012-01-01 40671
2013-01-01 40944
2014-01-01 42137
2015-01-01 44073
2016-01-01 43985
2017-01-01 44449
2018-01-01 47709
2019-01-01 46807
2020-01-01 79483
2021-01-01 49291
2022-01-01 49369
2023-01-01 54620
2024-01-01 53655

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