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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mineral County, CO
Series ID MHICIUBCO08079A052NCEN
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 1:53 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 22147
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26446
1994-01-01 .
1995-01-01 31449
1996-01-01 .
1997-01-01 32920
1998-01-01 35530
1999-01-01 36559
2000-01-01 38917
2001-01-01 37809
2002-01-01 37184
2003-01-01 39419
2004-01-01 42355
2005-01-01 43880
2006-01-01 46152
2007-01-01 48295
2008-01-01 51118
2009-01-01 47586
2010-01-01 50004
2011-01-01 51883
2012-01-01 51845
2013-01-01 55288
2014-01-01 56098
2015-01-01 55516
2016-01-01 58277
2017-01-01 61775
2018-01-01 66791
2019-01-01 70502
2020-01-01 66046
2021-01-01 69876
2022-01-01 78488

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