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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clear Creek County, CO
Series ID MHICILBCO08019A052NCEN
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 27104
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34437
1994-01-01 .
1995-01-01 46496
1996-01-01 .
1997-01-01 52991
1998-01-01 58160
1999-01-01 48978
2000-01-01 50804
2001-01-01 51330
2002-01-01 51308
2003-01-01 53519
2004-01-01 54874
2005-01-01 56494
2006-01-01 55973
2007-01-01 59478
2008-01-01 52839
2009-01-01 58601
2010-01-01 59326
2011-01-01 58658
2012-01-01 59088
2013-01-01 57682
2014-01-01 62410
2015-01-01 60345
2016-01-01 61710
2017-01-01 63856
2018-01-01 66250
2019-01-01 71070
2020-01-01 67523
2021-01-01 69184
2022-01-01 79567

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