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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rio Grande County, CO
Series ID MHICILBCO08105A052NCEN
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 19651
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21652
1994-01-01 .
1995-01-01 20482
1996-01-01 .
1997-01-01 22596
1998-01-01 23276
1999-01-01 28082
2000-01-01 29959
2001-01-01 29862
2002-01-01 30350
2003-01-01 31578
2004-01-01 32296
2005-01-01 31146
2006-01-01 32689
2007-01-01 33631
2008-01-01 33779
2009-01-01 34261
2010-01-01 34011
2011-01-01 34064
2012-01-01 34192
2013-01-01 37207
2014-01-01 36534
2015-01-01 36227
2016-01-01 36778
2017-01-01 37074
2018-01-01 40097
2019-01-01 42714
2020-01-01 44151
2021-01-01 45956
2022-01-01 50313

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