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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Juan County, CO
Series ID MHICILBCO08111A052NCEN
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 27496
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22324
1994-01-01 .
1995-01-01 21696
1996-01-01 .
1997-01-01 24021
1998-01-01 22249
1999-01-01 26973
2000-01-01 28119
2001-01-01 28526
2002-01-01 28521
2003-01-01 30487
2004-01-01 29929
2005-01-01 30298
2006-01-01 31792
2007-01-01 34349
2008-01-01 36239
2009-01-01 34202
2010-01-01 33561
2011-01-01 32749
2012-01-01 32215
2013-01-01 38011
2014-01-01 35925
2015-01-01 40484
2016-01-01 39799
2017-01-01 41799
2018-01-01 41747
2019-01-01 45192
2020-01-01 45791
2021-01-01 47397
2022-01-01 55177

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