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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Montezuma County, CO
Series ID MHICIUBCO08083A052NCEN
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 7:07 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 23615
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28499
1994-01-01 .
1995-01-01 33323
1996-01-01 .
1997-01-01 33953
1998-01-01 35379
1999-01-01 34054
2000-01-01 35886
2001-01-01 35036
2002-01-01 34749
2003-01-01 35367
2004-01-01 36654
2005-01-01 38010
2006-01-01 40269
2007-01-01 44915
2008-01-01 48993
2009-01-01 44280
2010-01-01 44729
2011-01-01 44545
2012-01-01 43840
2013-01-01 47504
2014-01-01 47698
2015-01-01 47027
2016-01-01 43836
2017-01-01 52117
2018-01-01 54598
2019-01-01 57869
2020-01-01 59566
2021-01-01 59161
2022-01-01 63650
2023-01-01 65102
2024-01-01 71568

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