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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clear Creek County, CO
Series ID MHICIUBCO08019A052NCEN
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 1:11 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 31880
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39042
1994-01-01 .
1995-01-01 53282
1996-01-01 .
1997-01-01 60063
1998-01-01 65227
1999-01-01 56030
2000-01-01 59191
2001-01-01 59181
2002-01-01 59126
2003-01-01 61158
2004-01-01 62745
2005-01-01 67380
2006-01-01 67516
2007-01-01 70795
2008-01-01 61616
2009-01-01 69881
2010-01-01 70318
2011-01-01 72182
2012-01-01 71630
2013-01-01 69296
2014-01-01 75820
2015-01-01 74179
2016-01-01 75688
2017-01-01 79844
2018-01-01 81788
2019-01-01 88730
2020-01-01 91321
2021-01-01 87440
2022-01-01 101133

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