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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Summit County, CO
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 1:54 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.
1989-01-01 29131
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34933
1994-01-01 .
1995-01-01 39163
1996-01-01 .
1997-01-01 42194
1998-01-01 43784
1999-01-01 48169
2000-01-01 52624
2001-01-01 52366
2002-01-01 49297
2003-01-01 47993
2004-01-01 48635
2005-01-01 51283
2006-01-01 55280
2007-01-01 62938
2008-01-01 58284
2009-01-01 60535
2010-01-01 55218
2011-01-01 54515
2012-01-01 55624
2013-01-01 57132
2014-01-01 61607
2015-01-01 64097
2016-01-01 63597
2017-01-01 69865
2018-01-01 72050
2019-01-01 77333
2020-01-01 79580
2021-01-01 80070
2022-01-01 85169

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